The question is far from academic. Food systems account for a substantial share of global greenhouse gas emissions, deforestation, freshwater use and biodiversity loss, and shifting consumer demand toward sustainable options is widely viewed as a critical lever for change. Yet decades of research have produced a frustrating pattern: people who say they care about the environment do not always buy accordingly, a gap psychologists call the attitude-behavior gap. Understanding which forces actually move purchasing decisions, and how they interact, could help governments, retailers and public health campaigns design interventions that work in the real world rather than in survey questionnaires.

To probe those forces, the team conducted a cross-sectional survey of 300 adult consumers, each of whom bore responsibility for food purchasing in their household. Participants completed a structured, self-administered questionnaire designed to measure their sustainable food shopping behavior alongside the four hypothesized determinants. The researchers then turned to IBM SPSS Statistics for the analytical heavy lifting, running reliability tests to confirm the questionnaire’s internal consistency, descriptive statistics to characterize the sample, correlation analyses to examine pairwise relationships, and multiple regression to model the combined influence of all four factors simultaneously.

The results were clear on the central hypothesis. All four factors, environmental awareness, health consciousness, economic considerations and policy interventions, showed positive and statistically significant relationships with sustainable food shopping behavior. In other words, consumers who were more environmentally aware bought more sustainably, as did those who were more health conscious, those who found sustainable options affordable and accessible, and those who perceived supportive policy environments. No factor was a dud; each contributed something measurable to the picture of who shops sustainably and who does not.

More interesting, however, was what happened when the four were modeled together. The combined regression model accounted for a significantly greater proportion of the variance in sustainable food behavior than any individual factor could explain on its own. That finding carries a conceptual punch: the determinants of green food purchasing are not competing explanations to be ranked against one another, but complementary forces that operate in parallel. A shopper’s environmental values, personal health motivations, financial constraints and the policy landscape around them jointly shape what ends up in the shopping cart, and studying any one of them in isolation understates the complexity of the decision.

Within that combined model, environmental awareness emerged with the highest standardized weight, making it the strongest contributor when all four factors were considered simultaneously. Yet in a nuance the authors are careful not to paper over, the single strongest standalone model was health consciousness. That apparent tension is actually informative. Environmental awareness may be the most powerful lever in a multivariate context, where its effects can be distinguished from overlapping motivations, but health consciousness alone tracks sustainable purchasing remarkably well, perhaps because the personal, immediate benefits of healthy food are easier for consumers to act on than the diffuse, long-term benefits of environmental protection.

The practical implications flow directly from those patterns. The authors suggest that interventions emphasizing affordability and accessibility could be potent levers, reflecting the significant role of economic factors in their model. If sustainable food remains a premium product affordable only to a niche, awareness campaigns will keep bumping into a price barrier. They also point to credible communication about sustainability, and to co-branding strategies that pair sustainability with health messaging, an approach that the dominance of health consciousness in standalone models makes especially attractive. A label that tells a shopper a product is both good for them and good for the planet may recruit two motivations at once.

The study is equally candid about its limitations, and the authors devote detailed space to them. The cross-sectional, self-reported, single-source design means causal inferences are off the table: the data show associations at one point in time, not proof that environmental awareness causes sustainable purchasing rather than the reverse, or that some unmeasured factor drives both. Common method bias, the possibility that measuring predictors and outcomes through the same self-report instrument inflates their correlations, was not formally evaluated. The constructs of underlying behavioral theories, such as the theory of planned behavior or values-beliefs-norms frameworks, were not measured directly, and the measurement model has yet to be validated with confirmatory factor analysis. These are the kinds of caveats that separate a promising first result from a settled one, and the authors present them explicitly so readers can weigh the findings accordingly.

What the study does offer, and what the authors flag as its original contribution, is the empirical integration of four research streams that have largely run in parallel. Environmental psychology has long studied awareness and attitudes; public health research has examined health motivation in food choice; economics has addressed price and access; and policy studies have explored regulatory nudges. By combining all four in a single model and reporting the full analytical detail needed for replication and critical evaluation, the team provides a template other researchers can build on, refine and, ultimately, test with stronger designs, including longitudinal and experimental approaches that can establish causality.

For now, the takeaway for anyone trying to shift food consumption toward sustainability is that no single message will do the job. The Pune survey suggests that the most effective strategies will be multi-pronged: make sustainable food affordable and easy to find, communicate its benefits credibly, and frame it in terms of personal health as well as planetary stewardship, all within a policy environment that reinforces rather than undermines those choices. Confirming that recipe will require the more stringently designed studies the authors themselves call for, but as a map of the terrain, the study marks out four coordinates that any serious effort to change how we eat will need to navigate.

Subject of Research: Determinants of sustainable food consumption behavior among household food purchasers

Article Title: Determinants of sustainable food consumption behavior through environmental awareness, health consciousness, economic factors and policy interventions

Article References: Sasane, J. J., Burande, A. L., Waghmare, G., Bhalerao, H., Padhye, P., Kate, N., & Gaikwad, V. B. (2026). Determinants of sustainable food consumption behavior through environmental awareness, health consciousness, economic factors and policy interventions. Discover Sustainability. https://doi.org/10.1007/s43621-026-04952-6

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04952-6

Keywords: sustainable food consumption, consumer behavior, environmental awareness, health consciousness, economic factors, policy interventions, food choice, cross-sectional survey, multiple regression, Discover Sustainability, attitude-behavior gap, sustainability

The research took the form of a cross-sectional survey, a design in which data are gathered from participants at a single point in time. Zemedkun recruited 105 trainees with visual impairment through comprehensive sampling, meaning that every eligible trainee in the six purposively selected teacher education colleges was invited to take part rather than a random subset being drawn. This approach maximizes statistical power in settings where the population of interest is small and scattered, a common challenge in disability research across sub-Saharan Africa. Structured questionnaires were used to measure three things: resilience, perceived social support, and life satisfaction, the last of which is widely treated in psychology as a cognitive component of subjective well-being, reflecting how people evaluate their lives as a whole rather than how they feel moment to moment.

The statistical analysis proceeded in two stages, and both stages told a consistent story. First, Pearson’s correlation coefficients were computed to assess the strength and direction of the relationships between the variables. Resilience showed a strong positive correlation with life satisfaction, with a coefficient of r = .574, statistically significant at p < .001. Perceived social support also correlated positively with life satisfaction, though more modestly, at r = .349, likewise significant at p < .001. In plain terms, trainees who reported greater resilience and stronger perceived support tended to report markedly higher life satisfaction, and neither relationship could plausibly be attributed to chance given the sample size.

Correlation alone, however, cannot disentangle the contributions of two variables that are themselves likely to be related, and this is where multiple regression analysis came in. This technique allows researchers to estimate the unique effect of each predictor while holding the other constant. The results were decisive. Resilience emerged as a powerful predictor of life satisfaction, with an unstandardized coefficient of B = 0.899, significant at p < .001. Perceived social support also remained a significant predictor, with B = 0.142, but its contribution was considerably smaller. Together, the two variables explained 37.3 percent of the variance in life satisfaction, a substantial share for research on subjective well-being, where single studies often account for far less.

The decomposition of that shared variance is perhaps the most striking technical detail in the study. Of the 37.3 percent explained, resilience alone accounted for 33 percent, while perceived social support contributed just 4.3 percent. That asymmetry suggests that for these trainees, an internal psychological resource does far more work than an external one in shaping how satisfied they feel with their lives. It does not mean social support is irrelevant; the regression confirmed it retains a significant independent effect even after resilience is taken into account. But it does mean that the dominant driver of well-being in this population appears to be what trainees carry within them rather than what surrounds them.

Why would resilience loom so large? The psychology literature offers several converging explanations. Resilience is generally understood as a dynamic process encompassing the ability to bounce back from setbacks, to regulate emotion under stress, and to find meaning in difficulty. For students with visual impairment pursuing professional training in a resource-constrained educational system, daily life involves navigating inaccessible materials, transportation challenges, and social attitudes that can range from supportive to dismissive. A trainee with a well-developed capacity for adaptation may experience these obstacles as surmountable challenges, whereas the same obstacles may erode the life satisfaction of someone with fewer internal coping resources. Perceived social support, by contrast, depends partly on circumstances outside the individual’s control, such as family proximity, peer attitudes, and institutional culture, which may explain why its measured contribution is smaller even though it matters.

The study’s setting gives the findings particular weight. The Amhara Region is one of Ethiopia’s major educational hubs, and its teacher education colleges train the instructors who will staff classrooms across the region. Trainees with visual impairment who complete these programs enter a profession where their success has ripple effects on hundreds of future students. Yet research on the psychosocial well-being of people with disabilities in Ethiopia has historically been sparse, and interventions are often designed on the basis of assumptions imported from high-income countries. By grounding the analysis in the lived context of Amhara colleges, the study provides locally relevant evidence that can inform policy in a way that generic international findings cannot.

The methodological choices deserve attention as well. Comprehensive sampling eliminates the sampling error that can arise when a small subgroup is randomly sampled, ensuring that the 105 participants represent the full population of visually impaired trainees in the selected colleges. The use of structured questionnaires allows standardized measurement, though it also means the data reflect self-reports, which can be shaped by social desirability and by how participants interpret questionnaire items. The cross-sectional design, meanwhile, establishes association but not causation: it is possible that higher life satisfaction itself fosters resilience, or that a third factor, such as financial security or health status, influences both. Longitudinal follow-up would be needed to confirm the direction of the relationships, and the author’s recommendation for intervention programs is framed as an association-based inference rather than a proven causal effect.

Ethical safeguards were notably thorough. The study received approval from the Institutional Ethics Committee of Dessie College of Teachers Education under reference number IECDCTE/1-1042/2025, and procedures followed the principles of the Declaration of Helsinki. Permission was obtained from the deans and registrar offices of all six colleges, and informed consent was secured in writing from every participant. Because many participants could not read standard print consent forms, the forms were read aloud and explained thoroughly before signing, a practical accommodation that reflects both ethical rigor and sensitivity to the population being studied. Participation was voluntary, and trainees were told they could withdraw at any time without penalty.

The practical implications are straightforward and potentially transformative. The study concludes that resilience and perceived social support are important psychosocial resources associated with higher life satisfaction among trainees with visual impairment, and it recommends that teacher education colleges implement programs to foster resilience and strengthen social support networks. In practice, that could mean embedding coping-skills training and peer mentoring into teacher preparation, training staff to recognize and respond to psychological distress, and building campus cultures in which students with disabilities receive consistent academic and social backing. Given that resilience explains roughly eight times more of the variance in life satisfaction than social support in this sample, investments in students’ internal coping capacities may yield the greatest returns, while support networks remain a meaningful complementary lever. For a group of future teachers whose own well-being will shape the classrooms of the next generation, the message from this Ethiopian study is clear: helping students build resilience may be the single most effective thing their colleges can do.

Subject of Research: The influence of resilience and perceived social support on life satisfaction among teacher trainees with visual impairment in Ethiopia

Article Title: The influence of resilience and perceived social support on life satisfaction among teacher trainees with visual impairment in selected teacher education colleges of the Amhara Region, Ethiopia

Article References: Zemedkun, M. A. (2026). The influence of resilience and perceived social support on life satisfaction among teacher trainees with visual impairment in selected teacher education colleges of the Amhara Region, Ethiopia. Discover Psychology, 6(1), Article 264. https://doi.org/10.1007/s44202-026-00904-3

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00904-3

Keywords: resilience, perceived social support, life satisfaction, visual impairment, teacher education, Ethiopia, Amhara Region, subjective well-being, positive psychology, disability and education, cross-sectional survey, multiple regression

The study’s logic rests on a simple but powerful triad: health literacy, caregiving burden and quality of life. Health literacy in this context goes well beyond the ability to read a prescription label. It encompasses functional skills such as following treatment schedules and recognizing side effects, communicative skills such as asking oncologists productive questions, and critical skills such as evaluating conflicting advice from the internet, family members and traditional beliefs. Caregiving burden, meanwhile, captures the cumulative strain, financial, physical, emotional and social, of supporting someone through diagnosis, surgery, chemotherapy or radiotherapy. Quality of life for caregivers includes physical health, psychological wellbeing, social relationships and the environmental conditions in which care is delivered. The researchers hypothesized that these three constructs would be interlocking: literacy could ease burden, burden would degrade quality of life, and literacy might also lift quality of life directly by giving carers a sense of control and competence.

To test those hypotheses, the team enrolled 565 eligible caregivers of older adults with lung cancer in a cross-sectional survey, meaning that all measurements were taken at a single point in time rather than tracking participants over months or years. Each caregiver completed three validated Chinese-language instruments. The Health Literacy Scale for Caregivers of Cancer Patients quantifies how well carers can find, understand and act on cancer-related information. The Family Caregiver Burden Scale for Cancer Patients measures the multidimensional toll of caregiving, from time displacement and financial pressure to emotional exhaustion and health deterioration. The Chinese version of the Quality of Life Questionnaire for Caregivers of Cancer Patients assesses self-reported wellbeing across the domains that matter most to people in this role. All data were analyzed with SPSS 26.0, the standard statistical software package widely used in clinical research.

The correlational results fell neatly into the predicted pattern. Caregiver health literacy was positively correlated with quality of life, so carers who scored higher on understanding and managing health information tended to report better overall wellbeing. Health literacy was negatively correlated with caregiving burden, suggesting that literate caregivers experienced the same objective demands as less taxing. And caregiving burden was itself negatively correlated with quality of life, confirming one of the most replicated findings in the caregiving literature: the heavier the load, the lower the carer’s own life satisfaction, energy and mental health.

Correlation alone cannot tell clinicians what to change, so the researchers went a step further with multiple regression analysis, a technique that estimates the independent contribution of each predictor while statistically holding the others constant. This matters because health literacy, burden and quality of life are plausibly entangled; for instance, carers with higher literacy may also differ in income, education or social support, and a naive correlation could reflect those background factors rather than literacy itself. In the regression model, caregiver health literacy retained a significant positive impact on quality of life, and caregiving burden retained a significant negative effect. In other words, even after accounting for their mutual overlap, both constructs carried independent explanatory weight: literacy lifts the caregiver’s wellbeing, and burden drags it down.

Why should health literacy have such leverage? The authors’ interpretation, grounded in the structure of their instruments, is that understanding is itself a buffer. A caregiver who can accurately parse a physician’s explanation of a chemotherapy cycle, anticipate and recognize treatment toxicities, manage medication timing and navigate the hospital system is less likely to be ambushed by crises, less dependent on guesswork and less prone to the anxiety that comes from uncertainty. That sense of competence may translate directly into psychological wellbeing. Higher literacy may also enable more efficient caregiving, reducing wasted effort and duplicated appointments, which in turn lightens the perceived burden. Conversely, a caregiver who cannot read discharge instructions or distinguish an expected side effect from an emergency may experience every symptom as a threat, multiplying stress without improving care.

The population at the center of this study deserves particular attention. Lung cancer remains one of the most common and most lethal malignancies worldwide, and older adults bear a disproportionate share of its incidence. As populations age, care for these patients increasingly falls to family members, often spouses of similar age or adult children juggling employment and their own families. Caregivers of cancer patients face prolonged, intensive and emotionally fraught responsibilities, monitoring symptoms, administering medications, coordinating multiple specialists and providing end-of-life support in many cases. Yet the clinical system is typically oriented around the patient, and the caregiver’s own health needs frequently go unaddressed until they manifest as depression, physical illness or the collapse of the care arrangement itself, which then harms the patient as well.

It is worth being precise about what this study can and cannot establish. Because the design is cross-sectional, it captures associations at one moment and cannot prove that low health literacy causes higher burden or worse quality of life; it is equally possible that exhausted, depressed caregivers struggle to absorb medical information, or that unmeasured factors, such as household income, social support, disease stage or caregiver age, drive all three outcomes. The regression analysis strengthens the case by showing that literacy and burden each explain unique variance in quality of life, but only longitudinal or interventional studies can establish causal direction. Cross-sectional surveys like this one are nonetheless the essential first step: they identify which variables are worth targeting before expensive trials are launched, and the large sample of 565 caregivers lends statistical weight to the observed relationships.

The practical implications follow directly from the evidence. If health literacy independently predicts caregiver wellbeing, then literacy-oriented interventions, plain-language education materials, teach-back methods in which carers restate instructions in their own words, structured caregiver training on symptom management and medication safety, and accessible written and digital resources, become candidates for improving caregiver outcomes. If burden independently erodes quality of life, then respite services, financial counseling, psychological support and explicit clinical attention to caregiver strain are equally justified. The authors state that enhancing the health literacy of caregivers of older adults with lung cancer and alleviating their caregiving burden may contribute to improving their quality of life, and that their findings offer valuable data to inform the development of targeted interventions and policy initiatives aimed at this population. In practice, that could mean hospitals routinely screening caregivers for both literacy and burden at diagnosis, just as they assess patients.

The study was approved by the Medical Ethics Committee of a Sichuan Provincial Level IIIA Hospital under approval number SCCHEC-02-2023-025, conducted in accordance with the Helsinki Declaration, and all participants provided written informed consent, with data anonymized and used solely for research purposes. The work received no external funding, and the authors declared no competing interests. Published open access in BMC Geriatrics on 25 September 2026, the paper adds to a growing body of evidence that the wellbeing of cancer caregivers is not a peripheral concern but a measurable, modifiable component of the oncology care system. For the millions of families navigating lung cancer in an aging world, the message from this research is sobering but actionable: the knowledge a caregiver carries, and the weight they carry it with, are two of the strongest predictors of whether they themselves will stay well enough to keep caring.

Subject of Research: Relationships among health literacy, caregiving burden and quality of life in caregivers of older adults with lung cancer

Article Title: Health literacy and caregiver burden in caregivers of older adults with lung cancer: a cross-sectional study of relationships and implications

Article References: Zhao, Q., Lyu, J., Qing, F., & Yin, L. (2026). Health literacy and caregiver burden in caregivers of older adults with lung cancer: a cross-sectional study of relationships and implications. BMC Geriatrics. https://doi.org/10.1186/s12877-026-08288-8

Image Credits: AI Generated

DOI: 10.1186/s12877-026-08288-8

Keywords: health literacy, caregiver burden, quality of life, lung cancer, older adults, caregivers, cross-sectional study, oncology, geriatrics, multiple regression, BMC Geriatrics, Health