The study, led by Rajan Shrestha of Aarhus University and the Nepal Development Society, forms part of a growing effort to correct a stubborn imbalance in global health evidence. Physical inactivity and prolonged sedentary behaviour are rising public health concerns across low- and middle-income countries, where non-communicable diseases such as diabetes, cardiovascular disease and cancer are climbing steeply. Yet most of what researchers know about the environmental and psychological drivers of activity comes from high-income countries, and much of it rests on questionnaires that ask people to recall and report their own behaviour, a method notoriously prone to bias and error.

To sidestep those limitations, the researchers turned to objective measurement. They analysed data from 421 adults who had taken part in the Community-Based Promotion of Physical Activity trial in Pokhara Metropolitan City. Each participant wore an Axivity AX3 accelerometer on the wrist continuously for seven days, providing minute-by-minute records of movement and stillness. The device captures acceleration in three dimensions, from which researchers derive measures such as the Euclidean Norm Minus One, a standard metric for quantifying overall body movement intensity. From these raw signals, the team calculated daily moderate-to-vigorous physical activity, the intensity level most strongly linked to health benefits, as well as total sedentary time.

Alongside the sensor data, participants completed structured questionnaires covering two distinct categories of environmental opportunity. The first, described as recreational or built opportunities, captures features familiar from urban planning literature in wealthy countries: parks, playgrounds, walking paths, gyms and other purpose-built facilities for leisure-time exercise. The second, productive or utilitarian opportunities, reflects a different reality: whether the surrounding environment supports movement as a by-product of daily life, such as walking to markets, shops, workplaces or services. The team also measured psychosocial factors drawn from the Theory of Planned Behaviour, a widely used psychological framework, including intention to be active and perceived behavioural control, the confidence a person feels in their own ability to act.

Because participants were recruited through community clusters, the researchers used multilevel linear mixed-effects models with random intercepts for clusters, a statistical approach that accounts for the fact that people living in the same neighbourhood share characteristics and cannot be treated as fully independent observations. This matters enormously in studies of built environments: ignoring clustering can produce misleadingly confident estimates. The models estimated associations between environmental and psychosocial factors and two outcomes, daily moderate-to-vigorous physical activity and sedentary time, and the team added interaction terms to test whether perceived behavioural control modified the environmental effects.

The headline result is striking for what it reveals about the geography of movement. Productive and utilitarian environmental opportunities, the everyday infrastructure that lets people accomplish necessary tasks on foot, showed stronger associations with device-measured moderate-to-vigorous activity than recreational or built features did. In the model that considered the environment alone, higher productive or utilitarian opportunity was linked to more daily moderate-to-vigorous activity. However, when the researchers added psychosocial factors into a combined model, these environmental associations were attenuated, suggesting that part of the apparent environmental effect travels through, or overlaps with, psychological and motivational characteristics of individuals.

One psychological factor refused to fade. Perceived behavioural control remained positively and robustly associated with moderate-to-vigorous physical activity even after adjustment, with an estimated coefficient of 34.35 and a 95 percent confidence interval running from 6.98 to 61.72. In practical terms, adults who felt more capable of being active accumulated meaningfully more device-measured activity each day. Intention, by contrast, showed no clear association with measured behaviour, a finding that will resonate with anyone who has resolved to exercise and then not done so. The gap between intending and acting is a central puzzle of behavioural science, and this dataset from Nepal adds a low- and middle-income country data point to a debate dominated by Western samples.

Sedentary time told a subtler story. Environmental associations with sitting and stillness were weaker and less consistent than those with activity, but the interaction analysis produced one notable result: among people in the highest tertile of productive or utilitarian environmental opportunity, higher perceived behavioural control was associated with less sedentary time, with an interaction coefficient of −35.26 minutes and a confidence interval from −64.92 to −5.61. The interpretation is intriguing. Environments rich in utilitarian movement opportunities may only translate into less sitting for people who feel confident in their ability to act on those opportunities, hinting that environmental and psychological levers work together rather than independently.

The authors caution, appropriately, that this is a cross-sectional analysis. It captures a single moment in time and cannot establish whether environments shape behaviour, whether active people choose more supportive environments, or whether some third factor drives both. Reverse causation is a live possibility: someone who already enjoys walking may perceive their neighbourhood as more walkable. The sample, drawn from participants in an existing physical activity promotion trial in one metropolitan area, may also not represent all of semi-urban Nepal. Still, the use of objective accelerometry over a full week, the multilevel design and the explicit separation of recreational from productive environmental opportunity make this one of the more methodologically careful studies of its kind in South Asia.

The implications stretch well beyond Pokhara. Cities across Asia and Africa are urbanising at unprecedented speed, and the design choices made in the next two decades will lock in patterns of movement or stillness for generations. If the findings hold, they suggest that in rapidly urbanising low- and middle-income countries, promoting physical activity may depend less on importing the gym-and-park model of wealthy nations and more on preserving and strengthening the everyday, utilitarian movement woven into daily life, while simultaneously building residents’ confidence that they can act. Interventions that pair walkable markets, services and workplaces with behavioural support targeting perceived control could do double duty. As non-communicable diseases rise across the Global South, this study offers a timely reminder that the most powerful exercise prescription may already be written into the streets people walk every day, provided they believe they can follow it.

Subject of Research: Environmental and psychosocial determinants of device-measured physical activity and sedentary behaviour among adults in semi-urban Nepal

Article Title: Environmental and psychosocial contexts of device-measured physical activity and sedentary behaviour in semi-urban Nepal: a multilevel analysis

Article References: Shrestha, R., Paudel, S., Rijal, A., Adhikari, T. B., Khatri, B., Neupane, D., Vaidya, A., Nielsen, R. Ø., & Kallestrup, P. (2026). Environmental and psychosocial contexts of device-measured physical activity and sedentary behaviour in semi-urban Nepal: a multilevel analysis. BMC Public Health. https://doi.org/10.1186/s12889-026-29793-w

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29793-w

Keywords: physical activity, sedentary behaviour, accelerometry, Nepal, low- and middle-income countries, built environment, perceived behavioural control, Theory of Planned Behaviour, multilevel analysis, public health, urbanisation, non-communicable diseases

The research team set out to answer a deceptively simple question: if Iran were to launch a fully organized, population-based breast cancer screening program tomorrow, what would it need to fix first? To do this rigorously, the investigators designed a three-stage convergent mixed-methods study. In the first stage, they conducted a systematic literature review, screening 953 records and retaining seven high-quality studies from which they extracted the building blocks of an assessment checklist. This checklist covered the domains that international guidelines consider essential for organized screening: target population definition, invitation and recall systems, diagnostic follow-up, workforce and equipment, information systems, financing, and performance monitoring.

Because a checklist built from a handful of studies could miss locally relevant criteria, the researchers then convened a two-round Delphi panel of six experts to refine and validate the instrument. The Delphi technique, a structured consensus method in which experts score and comment on items across successive rounds until agreement stabilizes, allowed the team to merge international evidence with the practical judgment of Iranian policy makers and clinicians. Only after the checklist had been finalized and validated did the team apply it, drawing on the data gathered in the literature review together with six semi-structured interviews with policy makers, oncologists, and frontline healthcare providers who run screening services on the ground.

The picture that emerged is one of a system with real assets but weak connective tissue. Iran does have a national guideline for breast cancer screening, and it has a broad network of health centers and screening facilities distributed across the country. Trained personnel exist, and public awareness campaigns about breast cancer have been running for years. Yet implementation of screening remains inconsistent from province to province, with significant disparities in access, resource allocation, and program reach. In practice, most screening is opportunistic: women are examined when they happen to visit a health facility for another reason, rather than being systematically identified, invited, and followed up by the health system.

This distinction between opportunistic and organized screening is more than bureaucratic hair-splitting. In organized programs, the health system maintains a registry of the eligible population, issues personal invitations at prescribed intervals, tracks every woman who fails to attend, and monitors outcomes such as cancer detection rates and interval cancers. Opportunistic screening, by contrast, systematically misses women who are less likely to seek care, and it produces uneven quality because there is no mechanism to verify that examinations and mammography readings meet standards. The Iranian study found that key performance indicators, including early detection rates and follow-up completion rates, are not systematically monitored anywhere in the program, which makes it nearly impossible to know whether screening is actually saving lives or merely generating activity.

Technical and administrative weaknesses compound the problem. The researchers documented manual data management across much of the screening pathway, meaning that records of examinations, referrals, and diagnostic outcomes are often kept on paper or in disconnected local systems rather than in an integrated electronic registry. Without such a registry, no invitation-based program can function, because the system cannot know who is due for screening, who has been screened, and who needs recall for suspicious findings. The study also identified insufficient dedicated funding for screening as a persistent constraint, with resources for promotion, equipment maintenance, and follow-up competing against other priorities in health budgets that are not ring-fenced for cancer control.

The interviews with frontline providers and specialists added texture to these structural findings. Providers described the practical consequences of limited proactive outreach: women in remote and underserved provinces may live far from mammography facilities, may not receive any reminder that screening is due, and may encounter the health system only when symptoms appear, often at later and harder-to-treat stages. Policy makers acknowledged that although Iran’s primary health care network, one of the most extensive in the region, reaches deep into rural areas, that network has not been fully harnessed for systematic cancer screening in the way it has for maternal and child health or for the management of other non-communicable diseases through initiatives such as IraPEN, the Iranian package of essential non-communicable disease services.

What makes the study notable for health policy observers is that it does not simply catalog failures. The authors emphasize that Iran’s established infrastructure, trained personnel, and ongoing awareness campaigns constitute a strong foundation on which an organized program could be built relatively quickly. The country’s primary health care system already assigns populations to specific health houses and health centers, which is precisely the catchment structure that invitation-based screening requires. The missing elements are the information systems to register and track eligible women, sustainable and dedicated financing, continued workforce development in mammography technique and reading, and a monitoring framework with defined indicators that are routinely reported and acted upon.

As a feasible pathway forward, the study proposes piloting an invitation-based screening model in selected provinces or defined catchment areas before attempting national scale-up. This incremental approach mirrors the trajectory followed by many countries that successfully transitioned from opportunistic to organized mammography screening: demonstrate the model in a manageable setting, measure coverage and quality indicators, fix the operational problems that only appear in practice, and then expand. The authors argue that such pilots would generate the local evidence on costs, acceptance, and logistics needed to convince decision makers to invest in the integrated electronic systems and monitoring frameworks that a national program demands.

The stakes are considerable. Because breast cancer is the top cause of cancer death among Iranian women, and because survival depends strongly on the stage at which the disease is detected, the difference between a functioning organized screening program and an opportunistic one is measured in lives. The study, conducted as part of the first author’s PhD thesis in health policy and approved by the ethics committee of Tehran University of Medical Sciences, received no specific external funding and involved no competing interests. Its message to Iran’s health authorities is direct: the foundations are in place, the checklist for success has now been written and validated, and the next step is a deliberate, monitored shift from waiting for women to arrive to actively inviting them in.

Subject of Research: Situation analysis of the breast cancer screening system in Iran using a mixed-methods design

Article Title: Situation analysis of breast cancer screening in Iran: a mixed-methods study

Article References: Dorri Kafrani, S., Akbari Sari, A., Yunesian, M., Moadabshoar, L., & Daroudi, R. (2026). Situation analysis of breast cancer screening in Iran: a mixed-methods study. International Journal for Equity in Health. https://doi.org/10.1186/s12939-026-02991-z

Image Credits: AI Generated

DOI: 10.1186/s12939-026-02991-z

Keywords: breast cancer screening, Iran, organized screening, opportunistic screening, health system assessment, Delphi method, mammography, health equity, non-communicable diseases, screening policy, primary health care, mixed methods

The research team, led by Jonathan Annan-Asare of Kwame Nkrumah University of Science and Technology and the University of Health and Allied Sciences, recruited participants aged 35 to 64 through eight churches drawn from different denominations and geographic zones across the municipality. Faith-based institutions were chosen deliberately: church attendance is high among middle-aged Ghanaians, and congregations have proven effective platforms for health screening and community surveys. Using stratified and systematic random sampling, the researchers enrolled adults whose overweight or obese status was confirmed on the spot with calibrated digital scales and stadiometers, applying World Health Organization body mass index cutoffs of 25 to 29.9 kilograms per square metre for overweight and 30 or above for obesity.

Participants completed an interviewer-administered questionnaire adapted from a validated knowledge-attitude-perception instrument, structured around the KAP framework and the Health Belief Model. The 41-item tool probed three distinct domains: factual knowledge of obesity’s definition, causes, and consequences; behavioural orientation and confidence regarding weight management; and subjective perceptions encompassing body image, health risk appraisal, and sociocultural interpretations of body size. Internal consistency was respectable, with a Cronbach’s alpha of 0.78. The researchers then used descriptive statistics, Pearson’s correlations, and multivariable logistic regression to map how the three domains related to each other and to sociodemographic characteristics such as sex, education, employment, and marital status.

The knowledge results were a study in contrasts. Overall, 61.6 percent of participants scored above the sample mean, classified as having good knowledge. Most recognised that obesity is linked to cardiovascular disease (70.9 percent), osteoarthritis (68.8 percent), and diabetes (58.6 percent), and majorities correctly fingered fried foods, sugar-sweetened beverages, excess sugar, and refined foods as drivers of weight gain. Yet only 40.1 percent could identify body mass index as the standard measure of obesity, and a mere 35.9 percent acknowledged stress as a risk factor, suggesting that the psychological pathways to weight gain remain poorly appreciated. More troubling were the misconceptions about what actually works: 43 percent believed that fasting or skipping meals promotes weight loss, 78.5 percent considered anti-obesity medications the preferred route to slimming, and a quarter endorsed meal replacements or supplements as healthy strategies.

Attitude scores told a bleaker story. More than half of participants (53.6 percent) fell below the mean, and the dominant pattern was not opposition to healthy living but profound uncertainty and low confidence. Nearly 70 percent answered “don’t know” when asked about their motivation to lose weight, 68.8 percent were unsure whether regular breakfast consumption belongs in a healthy lifestyle, and 52.3 percent could not say whether small, frequent meals support weight reduction. Self-efficacy was especially fragile: 62.4 percent reported being unconfident about cutting sugar, 62 percent doubted their ability to sustain structured exercise such as jogging, cycling, or swimming, and 67.5 percent said they were not at all confident about walking to nearby destinations. Meanwhile, almost half (47.7 percent) claimed satisfaction with their current activity level, a disconnect the authors interpret as a possible reflection of social norms and environmental constraints in an urbanising setting.

Perception data revealed perhaps the study’s most striking mismatch. Nearly two-thirds of participants (63.7 percent) scored poorly, with 37.6 percent uncertain whether they were actually overweight or obese and 45.1 percent unsure whether their current weight harmed their health. Yet the same respondents reported intense body-image distress: 73 percent avoided running for fear of their flesh wobbling, 71.3 percent had felt so bad about their shape that they cried, 64.6 percent were dissatisfied with the size of their thighs, hips, or bottom, and over half reported frequent rumination about their shape when bored, feeling they ought to diet, or fearing they would become fatter. In other words, many participants could see and feel their bodies clearly but could not connect what they saw to biomedical risk, a pattern consistent with well-documented underrecognition of weight status and with cultural norms in parts of Africa that associate larger body size with affluence, attractiveness, and well-being.

The statistical architecture of the study sharpened these observations. Knowledge correlated moderately with attitude (r = 0.357, p < 0.01), hinting that factual understanding nudges behavioural orientation, but knowledge showed no significant relationship with perception (r = -0.059), and attitude was likewise uncorrelated with perception. In adjusted regression models, most sociodemographic associations dissolved. Tertiary education roughly tripled the odds of good knowledge in crude analysis, but the effect attenuated after adjustment (adjusted odds ratio 2.08, 95 percent confidence interval 0.96 to 4.54). Self-employment, however, remained a robust independent predictor of poorer knowledge (AOR 0.35, 95 percent CI 0.16 to 0.76), a finding the authors link to workplace exposure, economic stability, and access to health information. For attitudes, no variable survived adjustment, suggesting that crude associations with sex, ethnicity, marriage, and education were confounded by overlapping factors. For perception, female sex stood alone: women were more than twice as likely as men to show good perception (AOR 2.22, 95 percent CI 1.12 to 4.35), echoing international evidence that women experience greater body dissatisfaction and weight-related psychosocial burden.

The context makes these findings urgent. Globally, obesity prevalence has nearly tripled since 1975, and roughly one billion people now live with the condition. Sub-Saharan Africa is undergoing a rapid epidemiological transition driven by urbanisation, the shift toward energy-dense processed foods, sedentary occupations, and psychosocial stress. Projections suggest that if current trends persist, obesity prevalence in the region, including Ghana, could more than double by mid-century, straining health systems already contending with infectious disease. Ghana’s 2022 Demographic and Health Survey found that more than half of women aged 20 to 49 are overweight or obese, and the Volta Region slightly exceeds the national average for women, with Ho Municipality showing a similar upward trajectory. Middle-aged adults are particularly vulnerable because of cumulative dietary exposure, age-related metabolic change, and entrenched lifestyle patterns.

The study’s authors argue that the results expose the limits of knowledge-only public health campaigns. If six in ten people already know the risks but fewer than seven percent feel confident cutting sugar, then leaflets and lectures are unlikely to move the needle. Instead, they call for culturally appropriate, community-level interventions that build behavioural skills and self-efficacy, address structural barriers such as food environments and walkability, and incorporate psychosocial components tackling body image, weight stigma, and risk denial. Faith-based settings, already proven venues for hypertension and diabetes screening in Ghana, could serve as delivery platforms for such programmes, meeting people where they already gather.

The researchers are candid about limitations. The cross-sectional design precludes causal inference, church-based recruitment limits generalisability to non-religious populations, and interviewer administration may have invited socially desirable answers. Dichotomising scores at the sample mean is somewhat arbitrary, conceptual overlap between attitude and perception may blur the constructs, and the analysis did not account for clustering within churches. Even so, the study fills a genuine gap: most Ghanaian obesity research has focused on prevalence and clinical outcomes rather than the behavioural and perceptual dimensions of living with excess weight. Its message resonates far beyond Ho. Wherever obesity is rising, the distance between knowing and doing appears to be the critical frontier, and closing it will require interventions that treat confidence, culture, and context as seriously as calories.

Subject of Research: Knowledge, attitudes, and perceptions of obesity among middle-aged overweight and obese adults in urban Ghana

Article Title: Knowledge, attitude, and perception (KAP) of obesity among middle-aged overweight and obese adults in the Ho Municipality, Ghana: a cross-sectional study

Article References: Annan-Asare, J., Apprey, C., Tandoh, M. A., Twum-Dei, B., Immurana, M., & Danzerl, N. O. P. (2026). Knowledge, attitude, and perception (KAP) of obesity among middle-aged overweight and obese adults in the Ho Municipality, Ghana: a cross-sectional study. Discover Social Science and Health, 6(1), Article 107. https://doi.org/10.1007/s44155-026-00439-x

Image Credits: AI Generated

DOI: 10.1007/s44155-026-00439-x

Keywords: obesity, Ghana, knowledge-attitude-perception, public health, non-communicable diseases, body image, self-efficacy, cross-sectional study, urban health, weight management, sub-Saharan Africa, Health Belief Model

The research drew on 393 adults aged 18 to 79 years enrolled in the Côte d’Ivoire dual burden of disease study, known as CoDuBu, which operates within the Taabo health and demographic surveillance system in the south-central part of the country. Roughly half of the participants were women, 55 percent lived in rural settings, and the vast majority were lifetime non-smokers who reported high levels of physical activity. Blood spots collected during health examinations were shipped to a biobank, where DNA was extracted, chemically converted and analyzed on an Illumina EPIC methylation array covering more than 866,000 genomic positions. After rigorous quality control, 841,953 CpG sites remained for the epigenetic age calculations, making this one of the most comprehensive methylation datasets ever assembled from this region of Africa.

From those methylation patterns, the team computed four of the most widely used epigenetic clocks. The first generation, HorvathAge and HannumAge, were trained purely on chronological age and estimate how old a person’s cells appear to be. The second generation, PhenoAge and GrimAge, incorporate clinical markers of disease and mortality, so they aim to capture not just age but the pace of health decline. For each clock, the researchers calculated epigenetic age acceleration, the residual difference between a person’s estimated biological age and their actual calendar age, adjusted where appropriate for the mix of white blood cells circulating in the sample. This acceleration measure is what researchers believe reflects the cumulative wear of environment, behavior and disease on the genome.

The headline result is reassuring: the clocks work. Correlations between epigenetic age and chronological age were strong across all four measures, with Pearson coefficients ranging from 0.83 to 0.93. Concordance statistics, which are stricter because they penalize systematic bias, were somewhat weaker, between 0.73 and 0.85, and the first-generation clocks outperformed the mortality clocks in raw age prediction. HannumAge was the most accurate, deviating from true age by an average of just under two years, while HorvathAge overestimated age by nearly six years on average. Each clock also showed a characteristic sweet spot where its predictions were sharpest: HannumAge performed best around age 32, HorvathAge around 62, and GrimAge around 78. These patterns mirror what has been reported in Ghanaian, South African and high-income cohorts, suggesting that the underlying biology of methylation aging is broadly conserved across human populations.

Yet the clocks are not interchangeable. Correlations between the acceleration measures themselves were surprisingly low, ranging from 0.24 to 0.66, which means each clock captures a partially distinct facet of biological aging. That distinction became vivid when the researchers examined which social and behavioral factors predicted faster aging. Men showed significantly higher acceleration than women on three of the four clocks, by roughly 1.6 to 2.9 years depending on the measure. Participants from the wealthiest households aged more slowly on the extrinsic and phenotypic clocks, an effect of about two years, consistent with the idea that economic security, healthcare access and nutrition buffer the genome against premature aging. High-risk alcohol consumption and smoking both accelerated the mortality-sensitive clocks, with smokers showing GrimAge acceleration of about 3.5 years.

Two of the most striking findings were non-linear. Physical activity and body mass index both showed U-shaped relationships with GrimAge acceleration, meaning that people at the extremes aged fastest. Underweight participants, who made up 7 percent of the sample, showed even stronger acceleration than those with obesity. In a setting where low body weight can reflect undernutrition, chronic infection and psychosocial stress rather than healthy leanness, this result suggests that the methylation clock registers the biological toll of deprivation just as faithfully as it registers the toll of metabolic excess. The authors also note a physical activity paradox: in populations where most activity comes from repetitive manual labor rather than leisure exercise, very high activity levels may promote chronic exhaustion and cardiovascular strain rather than protection, a pattern previously documented in large European studies.

The study then connected biological age to actual disease. About 22 percent of participants met the criteria for metabolic syndrome, and 56 percent had elevated fasting glucose, a strikingly high figure for a predominantly rural cohort. When the researchers regressed these outcomes on epigenetic age acceleration, they found that extrinsic acceleration and PhenoAge acceleration each increased the odds of metabolic syndrome severity by roughly 23 to 26 percent per standard deviation, and both were linked to high blood pressure and impaired fasting glucose. These associations held up after adjustment for demographic, socioeconomic and lifestyle factors, and for body mass index, indicating that the clocks carry information about cardio-metabolic risk beyond what conventional measures provide.

Perhaps the most mechanistically interesting result concerns what drives GrimAge. This clock is built from methylation surrogates of eight plasma proteins plus cumulative smoking exposure, and the team found that one component in particular, a methylation proxy for plasminogen activator inhibitor-1, or PAI-1, largely explained the clock’s associations with both risk factors and metabolic disease. The PAI-1 surrogate was associated with metabolic syndrome, high blood pressure, high triglycerides, central obesity and elevated glucose, and its links with lifestyle risks were robust to adjustment for blood cell composition. PAI-1 is a well-known player in inflammation, coagulation and metabolic dysregulation, and the authors argue that it may serve as a more reliable molecular marker of aging-related metabolic damage than the composite clock itself, a hypothesis they hope future studies will test.

The study has limitations that the authors acknowledge candidly. It is cross-sectional, so it cannot establish whether accelerated aging precedes disease or follows it, and the sample, though carefully characterized, is modest compared with the mega-cohorts of high-income epigenetics. The cohort was originally assembled to study asymptomatic malaria, although sensitivity analyses showed the results were stable when malaria cases were excluded. Even so, the work fills a conspicuous gap. Previous African validations, in Central African hunter-gatherers, South African men and Ghanaian migrants, covered narrow age ranges or specific subgroups; this study spans nearly six decades of adult life in both urban and rural settings and links methylation age to measured clinical phenotypes rather than self-report alone.

The broader implications are considerable. Populations across sub-Saharan Africa are aging rapidly while non-communicable diseases such as diabetes and hypertension rise in parallel with persistent infectious and environmental burdens, a double burden that could compress healthspan and push disease onset into ever-younger ages. If epigenetic clocks can be validated and eventually calibrated with African methylation data, they could become powerful tools for identifying which exposures, from poverty to alcohol to occupational strain, truly accelerate aging in transitioning societies, and for evaluating interventions before clinical disease emerges. The Côte d’Ivoire team argues that future longitudinal studies should fold in the wider exposome, including pollution, stress and sleep, to pinpoint the public health utility of these molecular hourglasses. For now, the message is clear: the clocks tick the same way in a rural Ivorian village as they do in a European clinic, and in both places, they are listening closely to how people live.

Subject of Research: Validation of DNA methylation epigenetic clocks and their cardio-metabolic risk associations in adults in Côte d'Ivoire

Article Title: Validity and cardio-metabolic risk profiles of DNA methylation clocks among adults in south-central Côte d’Ivoire

Article References: Validity and cardio-metabolic risk profiles of DNA methylation clocks among adults in south-central Côte d’Ivoire. (n.d.). https://doi.org/10.1186/s43682-022-00008-8

Image Credits: AI Generated

DOI: 10.1186/s43682-022-00008-8

Keywords: epigenetic clocks, DNA methylation, biological aging, Côte d'Ivoire, metabolic syndrome, GrimAge, PhenoAge, HorvathAge, HannumAge, non-communicable diseases, Africa, PAI-1

The scale of the dataset is what gives the result its power. The National Family Health Survey, known as NFHS-5, visited households in every Indian state and union territory, collecting capillary blood samples with portable glucometers alongside detailed questionnaires on education, wealth, diet, body measurements and reproductive history. That combination allowed the researchers to estimate weighted national and state-level prevalence and then probe which individual characteristics tracked with elevated glucose. The survey’s blood glucose measurement is a single random reading rather than a fasting or oral glucose tolerance test, so the authors are careful to describe their outcome as screen-detected hyperglycaemia, a non-diagnostic signal that requires confirmatory clinical testing rather than a formal diabetes diagnosis.

Geography turned out to matter far more than many observers might expect. State-level prevalence ranged from 2.1 percent to 11.4 percent, a more than fivefold spread that maps onto India’s well-documented epidemiological transition. States in the southern peninsula and parts of the northeast and east have generally reported higher diabetes burdens in prior surveillance, and the new analysis confirms that this regional signature extends to women who have never been screened. Yet when the researchers decomposed the variation statistically, the picture became more nuanced: only 0.9 percent of the total variance in screen-detected hyperglycaemia was attributable to the state level, and 2.8 percent to the district level. In other words, where a woman lives matters, but the overwhelming majority of the variation reflects differences between individuals rather than fixed geographic context.

To untangle those individual differences, the team fitted multilevel logistic regression models, a technique suited to hierarchically nested survey data in which women are clustered within districts and districts within states. Multilevel models prevent the underestimation of uncertainty that occurs when clustered observations are treated as independent, and they allow predictors at the individual level to be estimated simultaneously with random effects for each geographic unit. The results were consistent across specifications. Older age carried substantially higher odds of screen-detected hyperglycaemia, as expected from decades of diabetes epidemiology, since insulin resistance and beta-cell decline accumulate over the life course. Higher adiposity, captured through body mass and related anthropometric measures, was likewise associated with elevated odds, reinforcing the central role of excess weight in glucose dysregulation even among women young enough to be bearing children.

One of the more striking findings concerned education. Women with higher educational attainment had lower odds of screen-detected hyperglycaemia than their less-educated peers, a protective gradient that the authors interpret in light of health literacy, occupational patterns and access to preventive care. Education is a classic upstream determinant: it shapes what people eat, how much they move, whether they seek screening and how they respond to health messaging. Intriguingly, however, the differences across urban versus rural residence and across the survey’s socioeconomic indices were described as modest. That relative flatness challenges a common assumption that undetected hyperglycaemia in India is primarily a problem of the urban affluent or, conversely, of the rural poor; instead, the analysis suggests the risk is distributed more broadly across the social spectrum than prevailing narratives imply.

Robustness checks strengthened the case that the signal is real rather than a statistical artefact. When the team repeated the analysis using a stricter threshold of 160 milligrams per decilitre for random capillary glucose, the pattern of associations held, indicating that the findings are not driven by borderline readings near the 140 milligram cutoff. This kind of sensitivity analysis matters because capillary glucometer readings are noisier than laboratory venous measurements, and a single random sample can fluctuate with recent meals, time of day and acute stress. The consistency of the age, adiposity and education gradients across thresholds suggests that the survey is capturing a genuine burden of dysglycaemia, even if the precise prevalence figure would shift under formal diagnostic protocols.

The clinical and public health implications are considerable. Diabetes is famously silent in its early years; international estimates have repeatedly suggested that a large fraction of people with diabetes worldwide, and roughly half or more in some low- and middle-income countries, remain undiagnosed until complications such as neuropathy, retinopathy or cardiovascular disease emerge. For women of reproductive age, the stakes extend across generations, because hyperglycaemia during pregnancy raises the risk of adverse obstetric outcomes and programmes the metabolic health of offspring. The authors argue that their findings make a direct case for strengthening opportunistic screening and early detection within India’s primary healthcare system, particularly through existing platforms such as antenatal care visits, where blood glucose testing could be integrated more systematically for women who would otherwise go unscreened.

The study’s design imposes important limits on interpretation, and the authors are explicit about them. A single random capillary glucose of 140 milligrams per decilitre or above is not diagnostic; clinical guidelines require confirmatory testing, typically fasting plasma glucose, glycated haemoglobin or an oral glucose tolerance test, before a diagnosis of diabetes or prediabetes can be made. Some of the women flagged in the survey may have had transient post-meal elevations, while others may genuinely have undiagnosed diabetes. The cross-sectional design also means the analysis identifies associations, not causes: older women differ from younger women in many ways beyond age, and body composition was measured at a single point in time. The authors caution that interpretations should be made cautiously given the non-diagnostic and cross-sectional nature of the data, a caveat that responsible coverage of this work should preserve.

Even with those caveats, the study adds a missing piece to India’s diabetes picture. Most national surveillance and burden estimates focus either on diagnosed diabetes or on adult populations as a whole, leaving a gap around women of reproductive age who have never been tested. By quantifying that gap at 6.3 percent nationally, with pockets exceeding 11 percent in some states, the analysis gives policymakers a concrete target population and a rationale for embedding glucose screening into routine primary care contacts rather than waiting for symptoms. The finding that individual-level factors, especially age, adiposity and education, dominate over geographic context also suggests that screening criteria can be refined: prioritising older women within the reproductive age band and those with higher body mass could yield efficient case-finding even in resource-constrained settings.

The broader lesson resonates well beyond India. Rapid urbanisation, dietary change and declining physical activity are driving diabetes epidemics across South Asia and much of the developing world, and young women sit at the intersection of these trends and the intergenerational transmission of metabolic risk. Large, nationally representative household surveys with biochemical measurement, of which NFHS-5 is among the world’s biggest, offer a template for other countries seeking to size their own hidden epidemics. What this study makes unmistakably clear is that the absence of a diagnosis is not the absence of disease. Millions of Indian women are walking through daily life with blood sugar levels that their bodies are already struggling to regulate, and the health systems around them have yet to notice. Closing that blind spot, the authors conclude, is one of the most achievable wins available in the global fight against non-communicable disease.

Subject of Research: Screen-detected undiagnosed hyperglycaemia among women of reproductive age in India

Article Title: Socioeconomic, demographic and anthropometric predictors and geographic variation of screen-detected hyperglycaemia among women in India

Article References: Rahaman, M., Rana, M. J., & Venkatesh, U. (2026). Socioeconomic, demographic and anthropometric predictors and geographic variation of screen-detected hyperglycaemia among women in India. Discover Social Science and Health, 6(1), Article 108. https://doi.org/10.1007/s44155-026-00443-1

Image Credits: AI Generated

DOI: 10.1007/s44155-026-00443-1

Keywords: diabetes, hyperglycaemia, India, women's health, reproductive age, NFHS-5, screening, obesity, epidemiology, non-communicable diseases, public health, health survey

The research team, led by Abel Negussie of Yirgalem Hospital Medical College with collaborators from Addis Ababa University, the University of Queensland, and the African Population and Health Research Center, conducted in-depth interviews with 26 office workers and 7 key informants, including non-communicable disease program coordinators and physical exercise coaches, between April and June 2023. Crucially, the sample included both physically inactive workers, defined as those sitting at least six hours per workday and doing less than three sessions or 60 minutes of weekly moderate-to-vigorous activity, and a comparison group of seven physically active employees who maintained regular leisure-time exercise. This design allowed the researchers to contrast the motivational landscapes of the two groups, revealing that six of the seven active workers had exercised or played sports in their youth, a formative experience that appeared to anchor their adult habits.

What makes the study methodologically distinctive is its use of the social-ecological model, a framework that treats health behavior as the product of nested layers of influence, from the individual psyche outward through social networks, organizations, communities, and policy. Rather than asking simply why a person does not exercise, the researchers interrogated each layer. The analysis, performed through iterative line-by-line coding with the open-source tool Taguette and organized by thematic analysis, yielded thirteen distinct themes distributed across the model’s five levels. The result is less a list of excuses than a systems map of how poverty, gender roles, workplace culture, urban design, and national policy conspire to keep people in their chairs.

At the innermost, intrapersonal level, the barriers were strikingly concrete. Women consistently reported that family and household commitments, particularly childcare, crowded out any possibility of morning exercise, and even active male participants described spouses who abandoned exercise after childbirth and never resumed. Income mattered too: while outdoor exercise is free, most participants preferred well-equipped gyms with professional coaching, but could not afford rising membership fees amid the current cost of living. Perhaps most revealing were the misperceptions. Many inactive women considered their household chores an adequate form of physical activity, and a widespread belief held that exercise matters only for people who are overweight. Meanwhile, awareness of the health hazards of prolonged sitting itself was almost entirely absent, with one even physically active participant stating that he did not believe long sitting had negative health effects.

The motivational findings may be the study’s most transferable contribution. Inactive workers described weak intentions, low self-efficacy, and a recurring pattern of starting exercise and then dropping out, often after a brief interruption derailed the routine. Exercise coaches observed that early-stage fatigue and unrealistic expectations about rapid weight loss frequently extinguished beginners’ enthusiasm, with some clients weighing themselves before and after every session. Maintaining exercise, participants agreed, is harder than starting it. The researchers argue that this reflects a well-documented intention-behavior gap, and they suggest that techniques such as habit formation, action and coping planning, and motivational interviewing could help bridge it, particularly approaches like the Disconnected Values Model that link long-term health risks to a person’s core life values such as family and work.

Sitting presented its own psychological puzzle. Unlike exercise, which requires deliberate planning, sitting tends to be spontaneous and habitual, unfolding below the threshold of conscious decision-making. Participants repeatedly described their sitting as unconscious and difficult to self-regulate, with one noting that remembering to stand periodically is primarily a psychological challenge until a new habit forms. This distinction matters for intervention design, the authors contend, because strategies that work for promoting exercise may fail against sedentary time, which demands behavior-specific tactics such as environmental prompts and scheduled activity breaks rather than appeals to motivation alone.

One level out, the social environment cut both ways. Women described a lack of partner and family support as a decisive barrier, with exercise coaches emphasizing that women persist far more reliably when husbands participate. More surprising were the negative reactions that active workers reported from colleagues and friends, who treated regular exercise as a luxury or a temporary project, asking one participant when he would finish his exercise as though it were a phase that would end. Yet the same neighborhoods offered a genuine asset: strong social ties and a widespread habit of group walking after work and on weekends, which most participants, even sedentary ones, already practiced, albeit at an intensity too low to count as moderate-to-vigorous activity.

The organizational layer exposed how office culture itself manufactures sedentary behavior. Desk-based work, work overload, and long government meetings all extended sitting, while motorcycle commuting eliminated a daily opportunity for active travel. A particularly corrosive norm emerged around productivity: many managers equate time at the desk with work ethic, so an employee who takes walking breaks risks appearing less committed, even though participants who were managers themselves acknowledged that short activity breaks would not harm, and might even boost, productivity. Volunteer sport-for-health teams, generally soccer clubs, existed in some organizations but were unevenly distributed and under-supported. The researchers note that evidence from high-income settings shows physically active workforces deliver better productivity, less sickness absence, and positive financial returns, and they recommend targeting senior management with education and communication training to shift these norms, alongside strategies like workplace champions and prompting messages.

At the community and policy levels, the picture was one of missed opportunities. Hawassa has green spaces and walkable neighborhoods, but exercise coaches reported that open areas are used for other social purposes rather than structured activity, and the city lacks any comprehensive public physical activity center. Campaigns such as mass sport events, the Great Ethiopian Run, and vehicle-free cycling days raised awareness but lacked consistency and clear target audiences, and sedentary behavior was almost entirely absent from public health messaging. A subtle social norm even discouraged walking, since pedestrians risked being judged as too poor to pay for transport. Above all, participants identified the absence of workplace health promotion policies and incentives, such as support for sports teams, as a structural failure, noting that Ethiopia’s national non-communicable disease strategic plan exists but lacks detailed operational guidelines and multi-sectoral collaboration spanning health, sport, urban planning, and municipal authorities.

The study’s authors are careful about its limits: physical activity status rested on general self-report rather than validated questionnaires, and the policy domain received comparatively shallow treatment because participants had limited policy expertise. Still, as formative research, the study does exactly what it set out to do, providing the evidence base for a locally tailored, multi-component behavior change intervention that targets several levels simultaneously. The core message resonates far beyond Hawassa. In low- and middle-income countries undergoing rapid urbanization and epidemiological transition, office workers represent a high-risk population whose inactivity is not a matter of individual willpower but the predictable output of an entire social system. Changing that output, the research suggests, will require changing the system, one desk, one norm, and one policy at a time.

Subject of Research: Barriers and facilitators to physical activity and sedentary behavior among Ethiopian office workers

Article Title: Barriers and facilitators to increase physical activity and reduce sedentary behavior in Ethiopian office-based employees: a qualitative formative research using the social-ecological model

Article References: Negussie, A., Clark, B., Addissie, A., Worku, A., & Girma, E. (2025). Barriers and facilitators to increase physical activity and reduce sedentary behavior in Ethiopian office-based employees: a qualitative formative research using the social-ecological model. Journal of Activity, Sedentary and Sleep Behaviors, 4(1), Article 13. https://doi.org/10.1186/s44167-025-00083-x

Image Credits: AI Generated

DOI: 10.1186/s44167-025-00083-x

Keywords: physical activity, sedentary behavior, office workers, Ethiopia, social-ecological model, non-communicable diseases, qualitative research, workplace health, public health, Hawassa, behavior change, low- and middle-income countries

The significance of the review lies partly in its methodology. Previous reviews of Métis health and wellness existed, but none spanned more than four decades or included comprehensive searches of the grey literature—the vast universe of government reports, organizational publications, and community documents that never appear in peer-reviewed journals. The research team systematically searched 14 electronic databases and supplemented this with hand-searching of Métis government and organization websites, a step that is critical for a population whose health knowledge is often produced outside traditional academic channels. The review followed the established scoping review methodology of Arksey and O’Malley, and the research question was developed collaboratively between the MNO and the research team, including Métis citizens themselves.

That collaborative, distinctions-based approach matters because the Métis are not a subset of a generic Indigenous population. They possess a unique culture, history, language, and way of life, and their rights are recognized and affirmed under Section 35 of Canada’s Constitution Act, 1982, alongside First Nations and Inuit. Health research that lumps Métis people into pan-Indigenous categories risks obscuring the specific drivers of their health outcomes. The review’s insistence on Métis-specific evidence reflects a broader movement in Indigenous health research toward distinctions-based approaches, in which each distinct people is studied on its own terms rather than as an undifferentiated category.

The headline numbers tell a story of rapid recent growth. Of the 112 studies and reports identified, the overwhelming majority—81—were Métis-specific rather than pan-Indigenous, and 99 had been published since 2010. In other words, the volume of Métis-specific health research has roughly tripled since 2010 compared with the three decades before. This surge coincides with growing national attention to Indigenous health equity, increased Métis governance capacity in health research, and funding structures that increasingly require Indigenous community engagement. Yet the review also shows that the field remains young: nearly nine-tenths of everything ever published on Métis health dates from the last fifteen years.

The methodological profile of the literature is equally revealing. Quantitative studies dominated the landscape, accounting for 71 of the 112 publications. While numerical data are essential for tracking disease burden and health service use, the imbalance suggests that the lived experience behind the statistics—how Métis people understand health, wellness, and illness in their own terms—remains comparatively underexplored. Qualitative and community-based work, which can capture cultural determinants of health and the impacts of historical and ongoing colonization, made up a much smaller share of the record. For a population whose health is inseparable from identity, land, and community, that gap is more than academic.

Encouragingly, the review found meaningful evidence of Métis leadership in the research enterprise. Fifty-eight percent of the included studies—65 publications—showed evidence of Métis authorship or collaboration with a Métis community. This figure marks substantial progress from an era when research about Indigenous peoples was routinely conducted without their participation, and it aligns with principles of Indigenous data sovereignty, which hold that communities should govern how data about them are collected, interpreted, and used. Still, the fact that more than four in ten studies lacked demonstrated Métis involvement indicates that community engagement has not yet become the default standard across the field.

What has been studied, and what has not? Non-communicable diseases emerged as the most heavily researched health outcomes, with 38 publications addressing conditions such as diabetes, cardiovascular disease, and cancer. Chronic disease epidemiology, in other words, forms the backbone of the existing evidence base. By contrast, the review identified striking gaps: research on Métis children and youth is thin, in-depth qualitative work on Métis men’s health is scarce, communicable diseases have received little dedicated attention, and intervention studies—research that actually tests whether programs, policies, or treatments improve Métis health—are notably rare. Each of these gaps has practical consequences, from the design of pediatric services to pandemic preparedness.

The absence of intervention research deserves particular emphasis. Descriptive studies can document that a health disparity exists, but they cannot tell communities and policymakers which solutions work. Without trials, evaluations, and implementation studies grounded in Métis communities, the field risks producing an ever-longer catalogue of problems without a corresponding evidence base for action. Similarly, the scarcity of research on Métis children and youth means that early-life determinants of lifelong health—areas where targeted investment often yields the greatest returns—remain poorly characterized for this population. The review’s gap analysis thus functions as a research agenda, pointing funders and investigators toward the areas of greatest unmet need.

The review also demonstrates the value of including grey literature in syntheses of Indigenous health research. Métis governments and organizations produce health reports that reflect community priorities and often contain data unavailable elsewhere; excluding them would have produced an incomplete and potentially distorted picture of the field. By hand-searching Métis government and organization websites alongside 14 academic databases, the team ensured that community-produced knowledge counted as evidence. This methodological choice models an approach that other scoping reviews of Indigenous health could adopt, and it underscores that the boundary between ‘research’ and ‘community knowledge production’ is porous in productive ways.

Ultimately, the review offers a double message. On one hand, Métis health research has never been more active: output has tripled since 2010, Métis-specific studies now dominate over pan-Indigenous work, and a majority of publications involve Métis authors or community collaboration. On the other hand, the field’s growth has been uneven, concentrated in quantitative chronic disease research while children and youth, men’s health, communicable disease, and interventions remain understudied. Led by the Métis Nation of Ontario and published open access, the review provides researchers, policymakers, and Métis communities themselves with a verified map of what is known—and a clear, evidence-based agenda for what must come next.

Subject of Research: A scoping review of Métis-specific health research in Canada from 1980 to 2024

Article Title: The landscape of Métis health research 1980–2024: a scoping review

Article References: The landscape of Métis health research 1980–2024: a scoping review. (n.d.). https://doi.org/10.1186/s12939-026-03034-3

Image Credits: AI Generated

DOI: 10.1186/s12939-026-03034-3

Keywords: Métis health, scoping review, Indigenous health, health equity, Canada, social determinants of health, Métis Nation of Ontario, non-communicable diseases, grey literature, community-based research, public health, research gaps

The team, led by Martha Isabel Riaño-Casallas of the Universidad Nacional de Colombia in Bogotá, together with Francisco Palencia-Sánchez of the Pontificia Universidad Javeriana and colleagues including Caroline T. Reppold and Alberto A. Rasia-Filho at the Federal University of Health Sciences of Porto Alegre and the Universidade Federal do Rio Grande do Sul, frames workplace well-being as a critical determinant of both global public health and organizational productivity. Their review, published open access on 2 October 2026, does not report new experimental data. Instead, it synthesizes existing evidence into a conceptual architecture designed to guide policymakers, managers, occupational health professionals, and workers themselves toward multi-level interventions that could prevent workplace-related mental disorders, accidents, and avoidable mortality.

The problem the framework addresses is well documented but stubbornly resistant to solution. Despite decades of research into psychosocial risks and mental health at work, the authors note that presenteeism—the practice of showing up to work while ill and functioning below capacity—continues to rise, alongside burnout and the growing burden of chronic non-communicable diseases. These conditions impose costs that ripple far beyond the individual. Reduced productivity, elevated healthcare expenditure, increased absenteeism, and premature mortality all trace back, in part, to working conditions that damage health over time. Yet most interventions remain fragmented: human resources departments deploy one set of tools, occupational physicians another, and wellness programs a third, with little coordination or shared scientific grounding.

The proposed framework rests on four pillars, each contributing a distinct layer of analysis. The first is organizational management, which supplies the practical levers through which workplaces are actually designed and run. Management research addresses how decisions are made, how work is structured, and how organizations can be steered toward healthier configurations. The second pillar, global occupational health, brings a population-level and preventive perspective. According to the authors, this discipline supports the systematic assessment of workers’ capacities and vulnerabilities, the early identification of psychosocial risks, and the prevention of chronic non-communicable diseases across diverse working populations—a scope that becomes essential when interventions must function across different economies, cultures, and regulatory environments.

The third and perhaps most distinctive pillar is neuroscience. Here the review draws on basic and applied research into the neural mechanisms underlying human emotion and cognition. The authors point to evidence clarifying the neural circuits that underpin feelings, motivation, and stress responses, as well as the biological basis of interindividual variability in how people cope with stress and job demands. This is where the framework makes its most technically ambitious move: by grounding workplace interventions in an understanding of how the brain actually responds to occupational stressors, the authors aim to move the field beyond generic wellness slogans toward strategies that respect the biology of the people they are meant to protect.

The neuroscience component matters because stress at work is not an abstract construct. Chronic activation of stress-response systems, repeated exposure to perceived threat or lack of control, and sustained cognitive load all engage neural circuits that influence mood, motivation, decision-making, and long-term physical health. Individual differences in these circuits help explain why two workers exposed to identical conditions may fare very differently—one thriving under pressure while the other develops exhaustion or illness. A framework that incorporates this variability, the authors argue, can move occupational health from a one-size-fits-all model toward assessments that account for each worker’s capacities and vulnerabilities, enabling earlier and more precise identification of those at risk.

The fourth pillar, positive psychology, supplies the intervention repertoire. The review highlights non-pharmacological strategies—mindfulness training, strengths-based approaches, and gratitude or meaning-centered interventions—that research suggests may reduce distress and enhance resilience. Crucially, the authors attach a condition: these techniques must be implemented according to scientific and ethical standards. This caveat reflects a growing concern in the field that workplace wellness programs are often rolled out with little evidence of effectiveness, sometimes shifting responsibility for structural problems onto individual workers. By insisting on scientific rigor, the framework attempts to separate evidence-informed practice from wellness theater.

What emerges from the integration of these four domains is a multi-level model in which each discipline compensates for the blind spots of the others. Management science knows how to change organizations but historically has lacked a biological account of why those changes matter. Occupational health can identify risks at scale but often struggles to translate findings into daily managerial practice. Neuroscience explains mechanisms but rarely speaks the language of policy or administration. Positive psychology offers practical tools but needs the guardrails of ethics and evidence that the other disciplines provide. The framework’s promise lies in the connections: a manager informed by neuroscience understands why autonomy and workload boundaries affect health; an occupational physician equipped with management insight can push for structural reforms rather than individual fixes; and positive psychology interventions can be targeted to the workers most likely to benefit, based on systematic assessment of their capacities and vulnerabilities.

The authors argue that such an interdisciplinary approach offers a pathway to protect and promote workers’ well-being by designing evidence-informed strategies aimed at preventing workplace-related mental disorders, accidents, and avoidable mortality. The beneficiaries, they contend, are not only individual workers but organizations and the common good more broadly, since healthier workforces underpin healthier economies and societies. The framework is explicitly theoretical at this stage—it is a proposal for how the fields should connect, not a demonstration that the integrated model has been tested in practice. As a review, it lays out a conceptual map and invites empirical validation, implementation research, and adaptation to specific occupational settings.

Still, the timing of the proposal is significant. Labor markets worldwide are contending with post-pandemic shifts in work arrangements, rising reports of exhaustion and disengagement, and an accelerating burden of chronic disease linked partly to occupational and lifestyle factors. The World Health Organization and the International Labour Organization have both emphasized mental health at work as a global priority, and governments are increasingly legislating on psychosocial risk. Against this backdrop, a framework that gives policymakers, stakeholders, managers, occupational health professionals, and workers a shared scientific vocabulary—spanning neural circuits and organizational design—represents an ambitious attempt to make workplace well-being a rigorously engineered outcome rather than an aspirational slogan. Whether the model can survive contact with real workplaces, with their competing incentives and resource constraints, will be the next test. But the paper makes a compelling case that the era of treating the mind, the organization, and the body as separate problems at work may finally be coming to an end.

Subject of Research: An interdisciplinary framework integrating management, occupational health, neuroscience, and positive psychology to improve workplace well-being

Article Title: An interdisciplinary framework integrating management, global occupational health, and neuroscience for workplace well-being

Article References: Riaño-Casallas, M. I., Palencia-Sánchez, F., Stein, A. T., Lyra Batista, J. D., Reppold, C. T., & Rasia-Filho, A. A. (2026). An interdisciplinary framework integrating management, global occupational health, and neuroscience for workplace well-being. Discover Mental Health. https://doi.org/10.1007/s44192-026-00579-1

Image Credits: AI Generated

DOI: 10.1007/s44192-026-00579-1

Keywords: workplace well-being, occupational health, neuroscience, burnout, presenteeism, positive psychology, psychosocial risks, non-communicable diseases, organizational management, mental health, stress response, resilience

The researchers drew on the Demographic and Health Surveys program, using round four of the National Family Health Survey, conducted in 2015-16, and round five, conducted in 2019-21. These surveys are among the largest standardized health data collection exercises in the world, and the study harnessed samples of 63,696 respondents from the earlier round and 57,693 from the later one, all aged between 15 and 49. Rather than treating chronic disease as a single undifferentiated category, the team constructed a chronic disease index using principal component analysis, a statistical technique that condenses multiple disease indicators into a single weighted measure. The index allowed them to compare the overall chronic disease burden between men and women across both survey rounds and to track how that burden shifted over the six-year interval.

The headline numbers are striking in their consistency. For men, the chronic disease index stood at 0.018 in 2015 and fell to 0.012 in 2021. For women, the corresponding values were 0.023 and 0.019. In other words, women’s chronic disease burden exceeded men’s in both periods, and while the burden declined for both sexes over time, the gender gap actually grew, from 0.005 in 2015 to 0.007 in 2021. That widening disparity is the study’s central puzzle. It suggests that whatever forces are driving down chronic disease prevalence among young and middle-aged Indian adults, whether improved diagnostics, health awareness campaigns, or genuine improvements in living conditions, they are not operating equally across genders, and women are being left behind relative to men.

To understand the geography of this burden, the researchers applied hot spot analysis, a spatial statistics method rooted in geographical information systems that identifies statistically significant clusters of high and low values across a map. The results revealed a pronounced regional pattern: people residing in the extreme southern and northern parts of India face higher chances of chronic disease prevalence than those in other regions. This kind of spatial clustering matters for policy because it indicates that chronic disease risk in India is not randomly scattered but concentrated in identifiable areas, likely reflecting combinations of dietary transitions, urbanization, aging population structures within the surveyed range, and state-level differences in health system capacity and reporting. Region-specific interventions, the authors argue, are therefore essential rather than optional.

Beyond geography, the study used binary logistic regression to estimate how individual and household characteristics predict the likelihood of developing the selected chronic conditions. Age emerged as the single strongest determinant, with an odds ratio of 5.14, meaning that the oldest groups within the 15 to 49 range faced more than five times the odds of chronic disease compared with the reference group. This is perhaps unsurprising, since conditions such as cardiovascular disease, chronic respiratory diseases, and diabetes accumulate with time, but the magnitude of the effect underscores how sharply risk rises even within what is conventionally considered a young population. Education was also significantly associated with chronic disease prevalence for both genders, though the direction and strength of the relationship reflect the complex ways in which schooling, occupation, income, and health awareness intertwine.

One of the most provocative findings concerns employment, and here the story diverges sharply by gender. Working women had a higher probability of facing chronic disease prevalence, with an odds ratio of 1.08 compared with non-working women. For men, the pattern ran in the opposite direction: working men had lower odds of chronic disease, at 0.93, than their non-working counterparts. The authors do not over-interpret this reversal, but it resonates with a substantial body of literature on the double burden faced by employed women in India, who often juggle formal work with the majority of household labor and caregiving responsibilities, potentially compounding stress and limiting time for rest and health care. Whatever the underlying mechanism, the finding challenges the assumption that labor force participation is uniformly protective for health.

Wealth, too, produced results that cut against intuition. Compared with the poorest women, the richest women had 69 percent higher probabilities of chronic disease prevalence, while among men the corresponding wealth gradient was 27 percent. In a country where poverty has traditionally been associated with worse health outcomes, the elevated risk among the affluent likely reflects the epidemiological transition now underway in India: as incomes rise, diets shift toward processed and energy-dense foods, physical activity declines, and sedentary lifestyles become the norm. The pattern also raises the possibility of detection bias, since wealthier households have greater access to health facilities and diagnostics, meaning conditions are more likely to be diagnosed and reported in surveys. Both interpretations carry implications, because they suggest that India’s emerging chronic disease epidemic is not confined to the poor and may in some respects be led by the better-off.

Dietary behavior featured prominently in the analysis as well. The consumption of fried food and aerated drinks was significantly associated with a higher likelihood of developing the selected chronic conditions, and the strength of these associations differed between men and women. These findings tie the survey-based statistical patterns to well-established physiological pathways: diets high in trans fats and refined sugars promote obesity, insulin resistance, dyslipidemia, and hypertension, which are the biological precursors of cardiovascular disease and type 2 diabetes. In a country where the market for packaged snacks and sugar-sweetened beverages has expanded rapidly over the past two decades, the gendered differences in consumption patterns identified by the study offer a concrete behavioral target for public health campaigns aimed at bending the curve of chronic disease before it overwhelms the health system.

The policy context makes these findings timely. India has adopted a series of measures to mitigate chronic disease, including the National Programme for Prevention and Control of Cancer, Diabetes, Cardiovascular Disease and Stroke, and the expansion of Ayushman Arogya Mandirs, the network of primary health and wellness centers intended to bring screening and preventive care closer to communities. The study’s authors argue, however, that these measures need to be sharpened along two axes revealed by their analysis: gender and geography. Because women aged 15 to 49 bear a consistently higher chronic disease burden, and because risk clusters in the country’s extreme south and north, a one-size-fits-all national strategy risks misallocating resources. Gender-sensitive, region-specific interventions, combined with lifestyle-focused public health strategies targeting diet and activity, form the core of the study’s recommendations.

What makes this research notable is not any single statistic but the convergence of evidence from a nationally representative dataset, a rigorous spatial method, and gender-disaggregated regression modeling, all pointing in the same direction. India’s demographic dividend, the economic promise of its enormous young and working-age population, depends on that population remaining healthy through its prime years. If chronic diseases are already carving a deeper groove into women’s health than men’s during these decades, and if wealth and urbanizing lifestyles are amplifying rather than buffering risk, then the country’s epidemiological transition is not a distant threat but a present reality. The study, published open access with the DOI 10.1007/s44155-026-00469-5, offers policymakers a data-driven map of where and among whom the next phase of India’s health challenge will unfold, and a reminder that the answers will need to be as differentiated as the disease burden itself.

Subject of Research: Gender differences in chronic disease prevalence and determinants among India's 15-49 year-old population

Article Title: Gender differences in the prevalence and determinants of selected chronic diseases among India’s 15–49 years aged population

Article References: Gender differences in the prevalence and determinants of selected chronic diseases among India’s 15–49 years aged population. (n.d.). https://doi.org/10.1007/s44155-026-00469-5

Image Credits: AI Generated

DOI: 10.1007/s44155-026-00469-5

Keywords: non-communicable diseases, chronic disease, gender differences, India, NFHS, epidemiological transition, binary logistic regression, hot spot analysis, public health, dietary patterns, socioeconomic status, women's health

The scale of the challenge is stark when the numbers are laid side by side. Indonesia carries the world’s second-largest tuberculosis epidemic, with approximately one million cases and 130,000 deaths each year, many from diseases with known cures. Stroke and other non-communicable diseases have become the leading causes of death, while maternal mortality remains stubbornly high at around 144 deaths per 100,000 live births nationally. Yet those national averages conceal a geography of inequality that is among the most dramatic in the world. Across Nusa Tenggara, Maluku and Papua, maternal mortality reaches 317 per 100,000 live births, close to three times the 114 recorded across Java and Bali. Infant mortality follows the same gradient: 9 deaths per 1,000 live births in Jakarta compared with 37 per 1,000 in the Papua Pegunungan highlands, meaning infants there are almost four times less likely to survive simply because of where they were born.

The Commission’s authors describe how these disparities pull the system in two directions at once. In Java’s crowded cities, the binding constraint is congestion: long waits, full wards and overstretched staff. In the eastern islands and highlands, the constraint is distance itself. A woman in obstructed labour may face a sea crossing to reach the nearest hospital, and the limiting factors are transport, workforce and unreliable basic infrastructure rather than the availability of clinical protocols. Between these extremes lies a third, quieter failure: patients across the country often lack access to integrated, continuous care that connects primary care, hospital services and post-acute or long-term support into a single pathway. Any system designed for Indonesia must answer for the urban patient in a crowded waiting room and the highland patient cut off by water and terrain simultaneously.

On paper, Indonesia has already built one of the most ambitious instruments for universal coverage anywhere in the world. The Jaminan Kesehatan Nasional, administered by BPJS Kesehatan, is the largest single-payer health insurance scheme in existence, and by 2024 roughly 98 percent of the formal identification-holding population was registered. The Commission is careful, however, to draw a distinction that has become central to global health policy debates: coverage is not access. A card cannot be used where facilities are absent, distant or overwhelmed. Disparities in who is actually reached, and in the quality of care once reached, persist across geographic and socioeconomic gradients. The financial sustainability of JKN also bears directly on the quality and reach of services, making the interplay between the public scheme and private systems a core question for reform rather than a technical afterthought.

The timing of the Commission is dictated by demography. Indonesia faces a double burden of disease in which persistent communicable illness coincides with a rapid rise in non-communicable disease, all against the backdrop of an ageing population and an epidemiological transition that demands a pivot from curative medicine towards preventative and geriatric care. Climate-related disasters and conflict add a compounding layer of risk. Layered over all of this is a narrow demographic window: the period around 2030 to 2035, when the working-age share of the population is projected to peak. This is the limited interval in which demographic structure can still be converted into durable economic and social gains. Reforms that arrive after that window closes will yield less, as the ageing population grows and the dependency ratio shifts. The evidence needed to guide those reforms, the authors argue, must be produced now.

Some of the most revealing findings in the Commission’s framing concern the blind spots of the data systems themselves. When Indonesia first assembled its national suicide data, the true toll proved to be many times what official records had shown, concentrated in provinces and rural communities that the aggregate picture had rendered invisible. This is not an isolated artefact. Routine systems poorly capture the experiences of the poorest, most marginalised and most remote populations, so national averages systematically conceal who is being left behind. Health-system data remain fragmented across institutions and administrative levels, with uneven quality that limits rigorous benchmarking. And, perhaps most fundamentally, there is as yet no agreed, measurable definition of what a health system for a high-income Indonesia should actually deliver.

The Commission’s organising concept is what it calls the Centennial Gap: the distance between the health system as it performs today and the system a prosperous, high-income Indonesia will require by 2045. The gap is to be measured across four dimensions: access and coverage, quality and outcomes, efficiency and financial sustainability, and equity and resilience. Defining that gap rigorously, identifying where it most threatens the national ambition, and charting how it can be closed constitutes the Commission’s core mandate. The work is organised into seven interconnected working groups spanning the entire system, from benchmarking current performance to equity and cultural safety, primary care redesign within a decentralised system, hospitals as hubs within people-centred networks, equitable technology adoption across uneven infrastructure, care that withstands climate disaster and conflict, and sustainable financing through revenue mobilisation and insurance reform together.

Methodologically, the Commission commits to harmonised indicators, a consistent standard of method, and case studies that capture subnational realities, with a national narrative that deliberately disaggregates data to expose the inequalities that aggregate figures hide. It is explicitly Indonesia-led, bringing together researchers, clinicians, policy makers and people with lived experience alongside international collaborators, and it positions itself as a partner to reform rather than a substitute for it. The authors note that the government has already set measurable national targets through its medium-term development plan, RPJMN 2025–2029, pursued through an active health-transformation agenda. What is needed now, they argue, is not another vision but independent, rigorous evidence to judge what is working, identify where course-correction is required, and measure progress against a coherent long-term standard.

Beyond the report itself, the Commission intends to strengthen Indonesia’s research and publication ecosystem through partnerships with universities and research institutes across the archipelago, building capacity in the country’s periphery so that local researchers can articulate the challenges of their own regions. This capacity-building dimension reflects a broader recognition that the evidence gap is not merely technical but structural: the institutions best placed to document the realities of remote eastern provinces have historically had the least access to international publication channels and the funding that flows through them.

The case for acting, the authors conclude, is at once moral and economic. Leaving inequity, fragmented evidence and constrained financing unaddressed perpetuates preventable suffering among those already least served while weakening the foundations of Indonesia’s prosperity, since sustained, broad-based growth is impossible without a healthy, productive population and ill health across the life course erodes the human capital on which the Indonesia Emas 2045 vision rests. The Commission began its launch with a single question that frames everything that follows: how can Indonesia develop a healthcare system that provides quality healthcare for the poorest, most remote and most marginalised people in the country? The answer, delivered as evidence-based, actionable recommendations over the coming years, will carry lessons far beyond the archipelago for every nation pursuing universal coverage across difficult terrain.

Subject of Research: Health system reform and universal health coverage in Indonesia ahead of its 2045 centenary

Article Title: Reimagining healthcare in Indonesia for 2045: a Lancet Regional Health – Western Pacific Commission

Article References: Onie, S., Irmansyah, Agustina, R., Nugraheni, W. P., Idris, H., Padmawati, R. S., Balqis, Fuady, A., Dhamanti, I., Hendrartini, J., Dartanto, T., Maharani, A., Haedar, A., Nurdiati, D. S., Ferdiana, A., Good, B. J., Asnawi, A., & Thabrany, H. (2026). Reimagining healthcare in Indonesia for 2045: a Lancet Regional Health – Western Pacific Commission. The Lancet Regional Health – Western Pacific, Article 101992. https://doi.org/10.1016/j.lanwpc.2026.101992

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DOI: 10.1016/j.lanwpc.2026.101992

Keywords: Indonesia, universal health coverage, JKN, health equity, maternal mortality, tuberculosis, non-communicable diseases, demographic dividend, health financing, The Lancet Regional Health Western Pacific, Indonesia Emas 2045, primary care