Economists Ayodeji Damilola Kehinde of Obafemi Awolowo University and Abiodun Akintunde Ogundeji of the University of the Free State surveyed 240 smallholder crop farmers across four local government areas in Osun State, using a multistage sampling design drawn from registered farmer databases maintained by the Agricultural Development Programme and the Nigerian Agricultural Insurance Corporation. Their analytical weapon of choice was Cragg’s double hurdle model, an econometric framework first proposed in 1971 that deliberately breaks a single economic decision into two sequential stages. The first hurdle asks whether a farmer is willing to adopt insurance at all; the second, estimated only among those who pass the first, asks how much money that farmer is actually prepared to pay. This distinction matters because conventional single-equation models, such as the Tobit model, assume that the same underlying mechanism governs both the decision to participate and the intensity of payment, an assumption the new evidence decisively contradicts.

The portrait of the average respondent is striking. The typical farmer in the sample was about 50 years old, had accumulated 32 years of farming experience, and cultivated just 1.65 hectares of land. Nearly 91 percent were married, with an average household of five people, and three-quarters had received formal education. But the institutional connections that typically lubricate access to financial products were conspicuously thin: only 31 percent belonged to cooperative societies, a mere 17.5 percent had any contact with agricultural extension agents, and just 12.5 percent reported access to formal credit. Most tellingly, only 34 percent of respondents were even aware that agricultural insurance existed as an option.

That awareness figure may be the study’s most consequential finding. From the perspective of innovation diffusion theory, awareness is the first and most critical stage in any adoption process; farmers who do not know a product exists cannot evaluate its benefits or incorporate it into their farm management decisions. The authors attribute the information gap to weak extension services, inadequate communication channels, and limited interaction between farmers and insurance providers. Compounding the problem, most farmers in the sample exhibited low risk perception, with roughly three-quarters falling into the low-risk-awareness category. The researchers invoke behavioral risk theory to explain this pattern: people tend to underestimate low-frequency, high-impact events, particularly when they have not recently experienced severe losses. Years of successfully managing shocks through informal coping strategies, from family support networks to community risk-sharing arrangements, may breed an optimism bias that reduces the perceived need for formal protection.

When the researchers ran the first hurdle of their double hurdle model, a probit regression estimating the latent propensity to adopt, a distinctive set of factors emerged. Age and farming experience both carried negative and statistically significant coefficients, meaning older and more seasoned farmers were less likely to express willingness to adopt insurance. The authors suggest this may reflect deep familiarity with traditional risk-management practices rather than lower exposure to risk. Marital status, farm size, and access to credit all pushed in the opposite direction, increasing the probability of willingness to adopt. Married farmers face greater household financial responsibilities and therefore stronger incentives to protect farm income, while larger farms place more land, labor, and inputs at risk, raising the potential financial consequences of a single bad season. Access to credit relaxes the liquidity constraints that often make upfront premium payments impossible.

One result stands out as genuinely counterintuitive: years of formal education had a negative and significant effect on the willingness to adopt. This finding runs against a substantial body of evidence from Rwanda, Ethiopia, and elsewhere in Nigeria showing education positively associated with insurance uptake. The authors offer a subtle interpretation. More educated farmers may be better equipped to scrutinize premiums, coverage conditions, exclusions, and claim procedures, and where available products are perceived as costly, opaque, or ineffective, that critical capacity may translate into greater selectivity rather than greater demand. Crucially, the picture flips in the second hurdle: among farmers who had already expressed willingness to participate, education significantly increased the amount they were prepared to pay. Education, in other words, appears to operate differently across the two decision margins, making farmers more skeptical at the entry gate but more generous once inside.

The second hurdle, estimated with a truncated regression on the subset of willing farmers, identified five significant drivers of payment intensity: education, farm size, cooperative membership, risk perception, and insurance awareness. The cooperative effect is particularly interesting from a policy standpoint. Membership in farmer associations improves access to information through meetings, peer interactions, and collective learning, and it allows farmers to learn from the experiences of others. Evidence from China has shown that social networks can substantially increase demand for weather insurance by facilitating the transmission of insurance-related information, and the Osun State results are consistent with that mechanism. Risk perception and insurance awareness both increased the intensity of willingness to pay, underscoring that subjective assessments of danger and basic product knowledge, not just objective exposure, shape how much financial commitment farmers will make.

Diagnostic tests lend the findings credibility. Variance inflation factors averaged 2.41 and 2.38 for the first and second hurdles respectively, well below the conventional threshold of 10, and Breusch-Pagan tests found no evidence of heteroskedasticity in either equation. Both hurdle equations were jointly significant, and the authors were careful to frame the estimated coefficients as conditional associations rather than definitive causal effects, noting that variables such as credit access and insurance awareness could plausibly be correlated with unobserved farmer characteristics like intrinsic risk orientation. The study’s scope is also bounded: with only four of Osun State’s thirty local government areas sampled, the authors caution that findings should be interpreted within the study area rather than generalized to all Nigerian farming households.

The policy implications, however, travel well beyond southwestern Nigeria. Because the drivers of market entry differ from the drivers of payment intensity, insurance programs that treat demand as a single decision risk designing products that miss their target. The authors recommend bundling insurance with subsidized input packages or formal credit facilities so that premiums are covered upfront through loan disbursements, eliminating immediate liquidity constraints. They also point to mobile technology as a game changer: parametric weather-index insurance delivered through USSD and SMS platforms, with satellite remote-sensing data triggering automated payouts, could eliminate costly field inspections, accelerate claim settlement, and build the institutional trust that currently discourages participation. Cooperatives, they argue, should serve as primary distribution channels, aggregating smallholders to lower transaction costs and enable group-discounted premiums.

For a region where climate change is intensifying production risks year after year, the study’s central message is both sobering and actionable. The latent demand for agricultural insurance among Nigerian smallholders is real, but it is gated by two distinct barriers: structural constraints like credit access and farm scale that determine who enters the market, and informational and behavioral factors like risk perception and policy literacy that determine how much those entrants will invest. Unlocking the first barrier requires financial engineering; unlocking the second requires education, extension, and trust. Only by clearing both hurdles, the researchers conclude, can agricultural insurance fulfill its promise of transforming rural vulnerability into resilience.

Subject of Research: Determinants of smallholder farmers' willingness to adopt and pay for agricultural insurance in Osun State, Nigeria

Article Title: Investigating smallholder farmers’ willingness to adopt and pay for agricultural insurance policies in Osun State, Nigeria: a cragg’s double hurdle approach

Article References: Kehinde, A. D., & Ogundeji, A. A. (2026). Investigating smallholder farmers’ willingness to adopt and pay for agricultural insurance policies in Osun State, Nigeria: a cragg’s double hurdle approach. SN Social Sciences, 6(10), Article 489. https://doi.org/10.1007/s43545-026-01779-w

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01779-w

Keywords: agricultural insurance, smallholder farmers, Nigeria, Cragg's double hurdle model, willingness to pay, risk perception, climate risk, cooperative membership, credit access, Osun State, crop insurance, rural finance

The research, published in the journal Natural Hazards, draws on household surveys conducted in ten villages across Chitral, yielding 350 responses from communities with long histories of avalanche and GLOF exposure. The villages surveyed, including Garam Chasma, the Kalash Valley, Reshun, Booni, Arkari, Sonoghur, Yarkhun, and Mastuj, were selected in consultation with humanitarian organizations such as the Aga Khan Agency for Habitat, Secours Islamique France, and the Aga Khan Rural Support Organization, all of which had documented hazard activity in the area. Because village-level population data were unavailable, the team used non-probability sampling, combining field surveys with digital forms to reach a broad cross-section of households.

The physical backdrop to the study is one of rapid cryospheric change. Remote-sensing analyses indicate that glaciers in Chitral lost roughly 816 square kilometers, about 30.8 percent of their glacierized area, between 1992 and 2022. Over the same period, the number of glacial lakes in the region grew from 101 to 162, including 31 classified as Potentially Dangerous Glacial Lakes, six of which lie within Chitral itself. Across High Mountain Asia more broadly, glaciers lost mass at an average rate of 0.19 meters of water equivalent per year between 2000 and 2016, while the number and volume of glacial lakes worldwide have increased substantially since 1990. Regional Himalayan temperatures are rising by 0.15 to 0.60 degrees Celsius per decade, a pace that exceeds the global average.

The consequences of these changes are not abstract. At least 20 GLOF events have been documented in Pakistan’s Himalayan region over the past seven decades, causing loss of life and extensive damage to infrastructure, agricultural land, and forests. The 2015 GLOF in the Reshun Valley of Upper Chitral caused damages estimated at around 15 million dollars. During the 2023 seasonal floods and GLOF event in District Chitral, 282 homes, 38 roads, and 39 bridges were severely damaged, while approximately 335 acres of cropland and 37,350 kilograms of wheat straw were destroyed. Around 80 water supply schemes and 90 irrigation channels were also affected. Avalanches tell an equally grim story: across eight countries in High Mountain Asia, more than 3,131 deaths have been recorded from 681 snow and ice avalanche events, with Afghanistan, India, and Nepal bearing the heaviest tolls.

To understand how these hazards affect daily life, the researchers asked respondents about damage to livelihoods and infrastructure. The results show that while livestock losses were relatively minor, with only 7 percent of respondents reporting animals lost, the effects on agriculture and infrastructure were substantial. Fifty-five percent of respondents reported damage to their agricultural land and crops, with productivity losses ranging from 25 to 75 percent. Two-thirds reported disruptions to transportation and communication networks, and 59 percent reported impacts on tourism, an increasingly important source of income in the Kalash valleys and elsewhere. Around 41 percent of respondents said they had been forced to move temporarily because of the recurring hazards.

Infrastructure damage was even more widespread. Ninety percent of respondents reported damage to their water supply, a figure the authors attribute to the region’s dependence on mountain springs, which are highly vulnerable to hazards originating high in the catchments. Most communities rely on a single water source, and the existing infrastructure is old and fragile. Eighty-six percent reported damage to roads, a vulnerability compounded by Chitral’s topography, where roads and bridges run alongside seasonal watercourses known locally as nullahs that channel floodwaters directly into the transport network. Twenty percent reported damage to residential buildings, often located near nullahs or steep slopes in the absence of a comprehensive urban development plan, while public buildings were least affected at 11 percent.

Recovery, the study found, is painfully slow. The majority of damaged structures took nine months or more to repair or rebuild, a delay the researchers link to Chitral’s harsh weather, which narrows the window for construction, and to the time required to coordinate financial and technical resources among public and private agencies. Restoration of transportation networks and essential services generally took six months or longer, and around 40 percent of respondents said it took more than a week to restore basic services after a disaster. Pipe rehabilitation for water systems is particularly slow because of material shortages. These prolonged recovery times ripple outward: transportation disruptions kept students from school, and unsafe buildings forced closures that hampered academic progress.

The most striking findings, however, concern perception. When asked which hazard worried them more, 57 percent of respondents identified avalanches as the greater concern for their community. Respondents rated avalanche severity higher, with 29 percent calling it very high, while 42 and 35 percent rated GLOF severity as very low and low respectively. Fifty-two percent rated the frequency trend of avalanches as very high, while perceived GLOF frequency was generally lower. A paired-samples t-test comparing perceptions of the two hazards across six indicators confirmed the pattern: for five of the six indicators, the differences were statistically significant at p less than 0.001. Respondents considered GLOFs significantly less often when planning outdoor activities, perceived them as less likely to occur, regarded them as less frequent in recent years, rated their consequences as less severe, and saw less need for protective measures. Only perceptions of controllability did not differ, with both hazards viewed as largely beyond human influence.

This perception gap matters because perceived risk strongly shapes preparedness, resource allocation, and adaptive behavior. Communities tend to prioritize hazards they experience frequently, even when less frequent hazards carry greater potential consequences, a pattern documented in previous disaster research in Pakistan and across the Hindu Kush Himalaya. The authors attribute the gap to cultural differences, varying levels of awareness, and the historical frequency of each hazard, factors that collectively steer funding and attention away from GLOF-related preventive measures. Yet climate change is expected to increase both the formation of glacial lakes and the likelihood of outburst floods, meaning the hazard that residents fear least may be the one growing fastest.

The study’s authors argue that closing this gap requires more than technical hazard mapping. They call for strengthening early warning systems, investing in climate-resilient infrastructure, improving irrigation and transportation networks, and, crucially, involving local communities in decision-making and resilience planning so that local knowledge informs risk management. They also acknowledge limitations: the survey reflects individual perceptions rather than measured hazard exposure, participation among women and older residents was limited by resources and cultural restrictions, and the findings may not generalize to other valleys. Future research, they suggest, should examine the spatial relationship between hazard and perception and track how evolving glacier dynamics reshape community preparedness over time. For now, the message from Chitral is clear: the dangers people watch for are not always the ones most likely to strike next.

Subject of Research: Community risk perceptions and impacts of snow avalanches and glacial lake outburst floods in Chitral, Pakistan

Article Title: Cryospheric risks in the Himalayan region: impacts and community perceptions on snow avalanches and GLOFs in Chitral, Pakistan

Article References: Abrar, S. U., Rana, I. A., Altaf, S., & Siddiqui, M. I. (2026). Cryospheric risks in the Himalayan region: impacts and community perceptions on snow avalanches and GLOFs in Chitral, Pakistan. Natural Hazards, 122(20), Article 645. https://doi.org/10.1007/s11069-026-08414-0

Image Credits: AI Generated

DOI: 10.1007/s11069-026-08414-0

Keywords: GLOFs, snow avalanches, Chitral, Hindu Kush, risk perception, glacier retreat, climate change, disaster risk reduction, Pakistan, community resilience, infrastructure damage, mountain hazards

The technique at the heart of the study is technically straightforward. Online gambling operators offer free bets as promotional incentives to draw in new customers. Matched bettors exploit these offers by placing opposing bets on all possible outcomes of the same event, such as a football match, so that whichever side wins, the outcome is largely balanced out. When executed perfectly with precise stake calculations, the mathematics can indeed neutralise most of the variance that defines conventional gambling, allowing the bettor to convert the value of the free bet into cash. It is this apparent elimination of chance that underpins the widespread online framing of matched betting as a controlled income stream or side hustle rather than a form of gambling.

To test how that framing holds up in practice, the research team surveyed 2,112 UK adults currently engaged in matched betting and analysed 2,954 personal accounts in which participants described whether they considered matched betting to be gambling, the difficulties they had encountered, and the losses they had experienced. The study was conducted by a team of Bournemouth University researchers including Dr Reece Bush-Evans, Dr Helen England, Dr Elvira Bolat, Dr Emily Arden-Close and Dr Ruijie Wang. The combination of a large quantitative survey with a substantial body of qualitative narrative material allowed the researchers to examine both the scale of losses and, crucially, the ways people explained those losses to themselves and others.

The contradiction between perception and experience was, according to the authors, one of the most striking findings of the research. Many participants described matched betting as risk-free or controllable, yet just over half reported having lost money while doing it. This dissonance was not simply ignored by the bettors themselves. Instead, participants developed explanatory frameworks that preserved their belief in the fundamental safety of the activity, a pattern the researchers link to well-documented cognitive mechanisms such as the illusion of control, in which people overestimate their ability to influence outcomes in situations that involve chance.

The way losses were attributed is central to this psychological picture. More than half of those surveyed reported losing money through matched betting, but the losses were commonly attributed to mistakes such as incorrect calculations, misunderstanding the terms of promotions, or pressing the wrong button, rather than to any risk inherent in the activity itself. In other words, when the system failed, participants blamed the operator of the system rather than the system. Dr Ruijie Wang, one of the study’s authors, noted that what the team found particularly interesting was that losses did not necessarily undermine people’s belief that matched betting was risk-free. The theory remained intact even when the lived experience contradicted it, because errors were classified as personal lapses in execution rather than evidence of underlying risk.

Participants also frequently drew a sharp conceptual line between matched betting and conventional gambling. Because the technique involves hedging both sides of an event, many bettors insisted that what they were doing was fundamentally different from betting on a football match or spinning a slot machine. Yet their own accounts told a more complicated story. Alongside financial losses, the narratives described gambling-related harms including mistakes, mental strain and emotional impulses. The stress of monitoring odds, meeting the qualifying conditions of promotions and executing multiple bets correctly emerged as a genuine psychological burden, even among people who maintained that the activity carried no risk.

Perhaps most concerning for gambling researchers, some participants described behaviours that closely resemble recognised patterns of problematic gambling. These included chasing wins or losses, committing additional personal money beyond the promotional free bets, and in some cases moving from matched betting into other gambling activities altogether. The research team is careful to note an important methodological limitation: the study captured people’s experiences at a single point in time, and therefore cannot establish whether matched betting causes later gambling behaviour. The cross-sectional design means the direction of any relationship between matched betting and subsequent gambling remains an open question for future longitudinal research.

Nevertheless, the authors argue that the framing of matched betting as a financial strategy rather than gambling may itself carry risks. People who regard the activity as a side hustle or income stream may be less likely to recognise potentially harmful gambling behaviours in themselves, precisely because their self-image excludes the category of gambler. If losses are always attributed to avoidable mistakes and the activity is always defined as risk-free, the psychological warning signs that might otherwise prompt reflection are systematically explained away. This has implications for consumer protection, since individuals who do not identify as gamblers are unlikely to seek gambling-specific support or to respond to harm-reduction messaging aimed at that identity.

The researchers argue that matched betting deserves far greater attention in gambling research and in consumer-protection discussions than it has so far received. Dr Reece Bush-Evans, who led the study, observed that matched betting remains surprisingly under-researched despite its considerable visibility online, where communities, tipsters and affiliate marketers actively promote it to new audiences. The team has called for further research that follows matched bettors over time and examines how the practice is promoted through social media, online communities and affiliate marketing networks, channels through which the risk-free narrative is disseminated and reinforced at scale.

The findings arrive at a moment when the boundaries between gambling, financial speculation and online hustle culture are increasingly blurred, and when regulators in several jurisdictions are scrutinising how gambling products are marketed to young adults. By documenting that a majority of matched bettors in a large UK sample had experienced losses while simultaneously maintaining a belief in the risk-free nature of the activity, the study provides empirical grounding for a suspicion long held by gambling researchers: that the language of control and certainty surrounding matched betting may function as a shield against both self-awareness and regulation. The work suggests that any serious conversation about gambling harm in the digital economy must include the promotional ecosystems built around free bets, and the thousands of people who believe, sometimes against their own experience, that the rules guarantee there is no risk so long as those rules are followed.

Subject of Research: Perceptions of risk and experiences of loss among adults engaged in matched betting in the United Kingdom

Article Title: Study challenges perception of matched betting as “risk-free” income

Article References: Study challenges perception of matched betting as “risk-free” income. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: matched betting, gambling harm, risk perception, illusion of control, free bets, online gambling, consumer protection, gambling research, UK adults, financial losses, International Gambling Studies, affiliate marketing

The research, published in Smart Agricultural Technology, was led by Sabrina Gulab, Hanan Ishaque, and Guillaume Lhermie, who surveyed 587 commercial crop and livestock producers operating farms larger than 700 acres across the three Prairie provinces. After restricting the analysis to producers who had adopted at least one digital agricultural technology, or DAT, the final analytical sample comprised 392 operations. The team used a binary logit regression model to identify which factors were associated with what they call data-use intensity, defined as the degree to which producers integrate technology-generated data into day-to-day farm management decisions. Respondents were classified as making high use of data or low or no use, and the model estimated how behavioral, psychological, and institutional variables shifted the probability of falling into the high-use category.

The theoretical foundation of the study is an extension of two influential frameworks in technology acceptance research: the Technology Acceptance Model, or TAM, and the Unified Theory of Acceptance and Use of Technology, known as UTAUT. Both frameworks were originally designed to explain why people adopt technology in the first place, emphasizing constructs such as perceived usefulness, effort expectancy, and facilitating conditions. The authors argue that these models fall short in the post-adoption phase, where the relevant question is not whether a farmer expects a tool to perform, but whether the continuous stream of data it generates is perceived as actionable, trustworthy, and valuable for ongoing decisions. They systematically remapped UTAUT constructs to post-adoption equivalents: performance expectancy became the perceived usefulness of data insights, facilitating conditions became data handling support, and social influence was extended to capture emerging norms around data sharing and collective contribution to agricultural data ecosystems.

The descriptive findings alone are sobering for the digital agriculture industry. Only 40.3 percent of surveyed producers reported high use of data in farm decision-making, while 54 percent reported low use and 6 percent reported no use at all. In other words, a majority of farmers who had already paid for and installed digital technologies were not meaningfully integrating the resulting information into their management choices. Producers operating larger farms showed higher levels of data integration than those on smaller operations, a pattern the authors attribute to economies of scale, where data-driven management produces clearer efficiency gains on complex, resource-intensive enterprises.

The regression results sharpen the picture considerably. Perceived usefulness of data emerged as the single strongest predictor: a one-unit increase in the belief that data helps optimize resources and inputs was associated with a 20.4 percentage point higher probability of high data use. Openness and proactive behavior came next, with roughly a one-standard-deviation increase associated with a 14.9 percentage point rise in the probability of high data use. Producers who actively seek information about new technologies, experiment with unfamiliar tools, and attend workshops appear to sustain engagement with data long after the initial purchase. Altruism also played a meaningful role, with producers comfortable sharing farm data with providers, researchers, companies, and government institutions showing an 8.7 percentage point higher probability of high data use, consistent with the idea that contributing to a shared data ecosystem both reflects and reinforces deeper engagement with one’s own data.

On the negative side, risk perception significantly suppressed data engagement. Producers who felt the risks of digital technologies outweighed their benefits had an 8.1 percentage point lower probability of high data use. Notably, the study uncovered a moderating effect: the negative influence of risk perception was stronger among high adopters who used many technologies, suggesting that farmers with the most at stake operationally and financially are also the most sensitive to concerns about data privacy, system reliability, and technological risk. Lack of digital literacy was another substantial barrier, associated with a 9.8 percentage point lower probability of high data use. Drawing on cognitive load theory, the authors argue that when interpreting complex dashboards and agronomic recommendations exceeds a producer’s cognitive resources, the data simply never makes it into the decision-making process.

Perhaps the most counterintuitive finding concerns social support. Producers who frequently consulted neighbors when they ran into difficulties with their technologies were less likely to use data intensively, with each unit increase in reliance on peer consultation associated with a 4.3 percentage point decrease in the probability of high data use. The authors interpret this as evidence that dependency-oriented support may substitute for independent engagement: farmers with lower technological self-efficacy lean on neighbors rather than developing the autonomous problem-solving skills needed to work with data themselves. This challenges a long-standing assumption in agricultural extension literature that peer networks uniformly accelerate technology uptake, and it suggests that building independent digital competence may matter more than facilitating help-seeking.

Equally striking is what did not predict data use. Concerns around data governance, including privacy, ownership, and commercial exploitation of farm data, showed no statistically significant association with data-use intensity, nor did trust in technology providers or the lack of facilitating conditions such as technical support and system interoperability. These factors dominate the adoption literature and are frequently cited in policy debates, yet in this sample of commercially established producers they did not shape what happened after adoption. The authors propose two explanations: established commercial producers may already operate within sufficiently developed governance arrangements, or governance concerns may function primarily as barriers at the adoption stage rather than during ongoing data integration. Either way, the finding underscores a stage-based view of technology engagement in which different barriers operate at different points along the adoption continuum.

The implications extend beyond farm gates. High-quality, farm-level data are the raw material for the next generation of AI-enabled agriculture, feeding the predictive models and recommendation systems that promise precision forecasting and optimized input use. If most adopters leave their data unexamined, both current returns on technology investment and future innovation pipelines are constrained. The authors argue that policy should therefore prioritize behavioral and cognitive enablers alongside infrastructure spending: strengthening digital literacy, reducing perceived risk through experiential learning, and framing data sharing as a contribution to the collective resilience of the agricultural community. Crop producers, who showed a 29.3 percentage point lower probability of high data use than livestock producers, may deserve particular attention, since livestock systems tend to depend on continuous monitoring that makes data value more immediately visible. As governments pour money into rural broadband and digital agriculture subsidies, this study offers a clear warning: the bottleneck is no longer the technology itself, but the human capacity and motivation to turn its output into decisions.

Subject of Research: Post-adoption data use behavior among commercial crop and livestock producers using digital agricultural technologies in Western Canada.

Article Title: Beyond adoption: Understanding data use behavior in digital agriculture

Article References: Gulab, S., Ishaque, H., & Lhermie, G. (2026). Beyond adoption: Understanding data use behavior in digital agriculture. Smart Agricultural Technology, 15, Article 102546. https://doi.org/10.1016/j.atech.2026.102546

Image Credits: AI Generated

DOI: 10.1016/j.atech.2026.102546

Keywords: digital agriculture, data use behavior, precision agriculture, technology adoption, UTAUT, data governance, digital literacy, farm decision-making, risk perception, altruism, Western Canada, agricultural policy

The study, led by Chiara de Waure of the University of Perugia and colleagues spanning institutions in Perugia, Rome, Palermo and Catania, drew its participants from the INNOPREV randomized controlled trial, a project funded by the Italian Ministry of Health under the National Recovery and Resilience Plan. The trial, registered at ClinicalTrials.gov as NCT05883878, is designed to test innovative, personalized strategies for cardiovascular disease prevention in high-risk adults. Before any randomization took place, the researchers asked participants aged 40 to 69 a deceptively simple question: how much do you believe cardiovascular disease threatens you personally? The answer came through a validated instrument called the Health Beliefs Related to Cardiovascular Disease Scale, or HBCVD, a 25-item questionnaire built on the Health Belief Model, one of the most influential psychological frameworks in preventive medicine.

The Health Belief Model holds that whether people adopt protective behaviors depends on four interconnected perceptions: their susceptibility to a condition, the severity it would have if it struck, the benefits of taking preventive action, and the barriers standing in the way of that action. The HBCVD scale translates these constructs into four subscales, each scored out of 100. When the researchers analyzed the 988 returned questionnaires from the 1,019 enrolled participants, they found a mean overall score of 61.10, with a standard deviation of 6.61. In other words, on average these adults, all of whom had been clinically assessed as being at moderate-to-high cardiovascular risk, perceived their risk as barely more than moderate.

To understand what shaped these perceptions, the team compared HBCVD scores across a battery of socio-demographic and clinical characteristics, including sex, age, marital status, education, employment, smoking status, body mass index, family history of cardiovascular conditions, the SCORE2 risk algorithm, and Life’s Essential 8, the American Heart Association’s composite measure of cardiovascular health covering diet, physical activity, nicotine exposure, sleep, body weight, blood lipids, blood glucose and blood pressure. Because the analysis involved many simultaneous comparisons, the researchers applied the Benjamini-Hochberg procedure to control the false discovery rate, a statistical safeguard that reduces the risk of spurious findings when testing many hypotheses at once. Effect sizes were reported as rank-biserial correlations or epsilon-squared values, allowing readers to judge not just statistical significance but practical magnitude.

After this correction, two factors stood out as consistently associated with overall risk perception: body mass index category and Life’s Essential 8 score. Participants with higher BMI perceived greater risk, an association confirmed in multivariable linear regression models fitted with heteroskedasticity-consistent standard errors. Compared with participants of normal weight, those who were overweight scored 1.13 points higher on the overall HBCVD scale, while those with obesity scored 2.94 points higher, the latter difference highly statistically significant. The direction makes intuitive sense: people carrying excess weight may receive more frequent warnings from clinicians, or may themselves sense the physical burden, and this awareness translates into stronger perceived vulnerability.

The association with cardiovascular health ran in the opposite direction, and this is where the findings become genuinely thought-provoking. Participants with moderate cardiovascular health scored 2.63 points lower on risk perception than those with low cardiovascular health, and those with high cardiovascular health scored 3.80 points lower. On the surface this seems logical, since healthier people genuinely face lower risk. But the effect sizes were small, and the pattern raises a subtle concern for prevention science: people who already behave well may feel insulated from cardiovascular disease, and that sense of safety could erode their motivation to maintain healthy habits over the long term. Prevention programs that ignore this psychological dynamic risk losing participants precisely when those habits have begun to pay off.

When the researchers dissected the four subscales separately, each told a different story. Perceived susceptibility showed the strongest and most consistent relationships with objective risk factors, tracking closely with BMI, family history, and Life’s Essential 8 score. Perceived benefits, by contrast, varied mainly with socio-demographic characteristics, suggesting that beliefs about the value of prevention are shaped more by social context than by clinical status. Perceived barriers were linked both to education level and to cardiovascular health, hinting that people with less education may face more practical obstacles to preventive action, and that even health-conscious individuals encounter friction in sustaining it. Perceived severity differed significantly only by sex and age class, indicating that judgments about how bad a cardiovascular event would be are relatively uniform across the population, anchored more in personal demographics than in medical risk profiles.

The methodological choices in the study deserve attention. Because all variables were measured at a single pre-randomization time point, the authors are careful to note that no causal inference is possible; the analysis shows associations, not mechanisms. The cross-sectional design means that, for example, obesity might drive higher risk perception, or conversely that anxious people might gain weight, or that both could reflect some third factor. Yet even as a snapshot, the data are valuable precisely because they come from a trial population that was thoroughly phenotyped, with clinically validated risk scores and standardized health assessments, rather than from a self-selected survey sample. The modest effect sizes, with epsilon-squared values around 0.02, underscore that risk perception is a diffuse phenomenon shaped by many small influences rather than one dominant driver.

Why does all this matter? Because risk perception is the psychological gateway to prevention. Clinical guidelines can calculate a person’s ten-year cardiovascular risk to several decimal places, but that calculation changes nothing unless the person believes it applies to them. The concept of unrealistic optimism, well documented in health psychology, describes people’s tendency to believe their own risk is lower than that of their peers, and the moderate scores observed here, in a population selected specifically for elevated risk, are consistent with that bias. If the very people flagged by SCORE2 as needing intervention do not feel vulnerable, adherence to medications, lifestyle counseling and follow-up appointments may all suffer. The INNOPREV findings give clinicians and public health planners a map of where those perception gaps concentrate.

The authors argue that their results can support the development of tailored preventive strategies to enhance risk awareness and promote healthy behaviors, and the trial’s randomized phase will test exactly that idea. In an era when personalized prevention is moving from slogan to policy, this study is a reminder that personalization must begin with the mind as well as the body. A prevention program calibrated to a person’s cholesterol but not to their beliefs is working with half the information. As Italy and other countries grapple with the enormous burden of cardiovascular disease, the quiet insight from this analysis may prove to be among the most actionable: before we can persuade people to protect their hearts, we first have to convince them their hearts are worth protecting, and that task starts with understanding how they currently see the risk.

Subject of Research: Cardiovascular risk perception among Italian adults at moderate-to-high cardiovascular risk enrolled in the INNOPREV prevention trial

Article Title: Perceived risk of cardiovascular diseases in the Italian population: a baseline cross-sectional analysis of participants enrolled in the INNOPREV trial

Article References: de Waure, C., Valentini, I., Arcelli, M., Volpi, F., Scarsi, N., Gobbetti, C., Lolli, O., Russo, L., Proto, L., Galarducci, R., Pasciuto, T., Severino, A., Tuttolomondo, A., De Bella, D., Daidone, M., Morello, G., Muli, R. L., Previti, A., Pieri, A., … Boccia, S. (2026). Perceived risk of cardiovascular diseases in the Italian population: a baseline cross-sectional analysis of participants enrolled in the INNOPREV trial. BMC Public Health. https://doi.org/10.1186/s12889-026-29286-w

Image Credits: AI Generated

DOI: 10.1186/s12889-026-29286-w

Keywords: cardiovascular disease, risk perception, INNOPREV trial, Health Belief Model, HBCVD scale, Life's Essential 8, body mass index, SCORE2, preventive behaviours, Italy, public health, BMC Public Health

The research team, led by Jerripothu Prema Kejiya, Koniki Lakshmi Jahnavi, and colleagues at institutions including Hindu College in Guntur and Manna Biotech Private Limited in Hyderabad, designed the investigation to bridge a persistent gap between laboratory measurements and real-world cooking behavior. Rather than relying solely on tightly controlled conditions, the researchers simulated ordinary household and commercial cooking: 100-gram portions of a single batch of long-grain white rice were boiled in 150 milliliters of tap water in four different pot materials until the water was absorbed, without standardizing heating time or temperature. No salt, spices, or other ingredients were added, precisely because these could confound the aluminum signal. The deliberately unpolished approach was intended to capture the variability of actual kitchens, where pots are worn, flames fluctuate, and nobody measures the pH of their dinner.

The analytical backbone of the study was inductively coupled plasma mass spectrometry, or ICP-MS, a technique capable of detecting trace metals at extraordinary sensitivity. Food samples were oven-dried at 100 degrees Celsius and then ashed in a muffle furnace at 550 degrees Celsius to destroy organic matter, leaving behind mineral residue that was dissolved in trace-metal-grade nitric acid. Calibration curves built from certified aluminum standards achieved linearity exceeding an R-squared of 0.999, while procedural blanks, spike-recovery experiments yielding recoveries between 90 and 110 percent, and detection limits in the low hundredths of a milligram per kilogram confirmed the reliability of the measurements. Every sample was analyzed in triplicate. When the numbers came back, the contrast between cookware types was so extreme that a one-way analysis of variance produced an F-statistic of 542.7 with a p-value below 0.0001 and an effect size, eta squared, of 0.99—meaning virtually all of the variance in aluminum content was explained by which pot the rice had been cooked in.

Health-risk contextualization makes those figures more alarming than they might first appear. The European Food Safety Authority has set a tolerable weekly intake of one milligram of aluminum per kilogram of body weight, equivalent to roughly 0.14 milligrams per kilogram per day. The authors note that under high-consumption scenarios, aluminum-cooked rice alone could approach or exceed those recommended limits. Not all of that aluminum reaches the bloodstream—gastrointestinal absorption of aluminum is typically low, around 0.1 to 0.3 percent—but chronic exposure even at sub-acute doses has been linked in the scientific literature to oxidative stress, interference with iron metabolism, neurotoxicity, bone disorders, and anemia. Aluminum has also been controversially implicated in neurodegenerative disease, with elevated levels reported in the brains of Alzheimer’s patients, although a causal relationship remains unproven. What is certain is that aluminum serves no beneficial function in the human body, making every avoidable source of exposure a reasonable target for reduction.

The study did not stop at laboratory rice. The researchers also collected four popular street foods from local vendors to gauge real-world contamination: stir-fried noodles and Manchurian dumplings packed hot into aluminum foil containers, a chocolate bar in its original foil wrapper, and chicken biryani cooked in large aluminum handi pots using the traditional dum steam method before being wrapped in foil for customers. Biryani showed the highest aluminum concentration at roughly five to six milligrams per 100 grams, followed by noodles and Manchurian at approximately two to three milligrams, while chocolate registered below one milligram. These single-sample measurements cannot statistically separate the contribution of cookware from aluminum naturally present in ingredients, a limitation the authors acknowledge candidly. But combined with the controlled rice experiment, they paint a coherent picture: both cooking vessels and food-contact packaging measurably enrich the food supply with aluminum, extending exposure beyond domestic kitchens into the commercial street-food economy that feeds millions of urban Indians daily.

Perhaps the most revealing dimension of the study, however, was behavioral. Alongside the chemical analysis, the team administered a structured questionnaire to 35 food vendors, street cooks, and small restaurant workers near their research institute. The demographic profile reflected the informal food economy: 54.3 percent male, mostly aged 18 to 60, with 45.7 percent holding secondary-school certificates and 31.4 percent undergraduate degrees, while 11.4 percent had no formal schooling at all. The vast majority, 85.7 percent, were self-employed food vendors. What emerged was a portrait of near-universal aluminum reliance paired with striking ignorance of its consequences. Fully 82.9 percent of respondents used aluminum cookware daily, yet only 48.6 percent were aware that aluminum could pose any health risk—and of those who were, a mere 5.7 percent could name a specific condition, loosely citing brain problems or Alzheimer’s disease. Sixty percent had never even considered switching to alternative materials.

The statistical analysis revealed a crucial psychological distinction that could reshape how public health campaigns are designed. Education level was significantly associated with awareness of aluminum risks, confirmed by a chi-square test (chi-squared = 10.91, p = 0.028) and a moderate positive Spearman correlation (r = 0.344, p = 0.045). But awareness alone showed only a weak, statistically insignificant relationship with actual cookware use (r = -0.26, p = 0.124)—knowing about a hazard, it turns out, does not by itself change behavior. The decisive variable was emotional: concern about aluminum toxicity exhibited a strong inverse correlation with frequency of aluminum use (r = -0.599, p < 0.001). In other words, perceived risk, not abstract knowledge, drives protective action. Participants who had switched away from aluminum typically did so after a trigger event—encountering new information through social networks or television—a finding consistent with behavior-change theory and a hopeful signal that well-aimed risk communication can measurably alter kitchen practices.

The physical evidence of degradation collected by the researchers lent visceral support to the analytical data. Nearly half of respondents, 45.7 percent, had noticed blackening, whitening, or surface pitting on their aluminum pots, and about 11.4 percent had actually weighed their utensils over time, documenting cumulative mass losses of 10 to 50 grams. That missing metal did not vanish into thin air; laboratory corrosion studies show that repeated boiling, salinity, and acidic foods accelerate the dissolution of the protective aluminum oxide layer, releasing ionic aluminum directly into food. The discoloration that vendors dismiss as normal wear-and-tear is, chemically speaking, the visible signature of the same leaching process quantified by ICP-MS. The authors suggest these observable cues could serve as powerful educational tools, connecting daily experience to an otherwise invisible chemical risk—if a pot is pitting and blackening, aluminum is ending up in the meal.

Why does aluminum remain so dominant despite these risks? The survey answers are soberingly practical: durability (31.4 percent), market availability (28.6 percent), and family habit (20 percent) were the leading reasons cited, followed by lack of awareness of alternatives (11.4 percent) and affordability (8.6 percent). Comparable economic drivers have been documented from Bangladesh to Egypt, and researchers have previously described aluminum cookware in developing countries as an unrecognized public health threat. The study’s policy prescriptions therefore extend well beyond education. The authors call for translated, relatable risk messaging—framing a single bowl of aluminum-pot rice as a substantial fraction of one’s weekly safe limit—alongside mandatory labeling of cookware alloy composition, migration standards modeled on European Commission Regulation No 1935/2004 for food-contact materials, and the incorporation of metal-exposure topics into food-handler training and municipal licensing. Structural interventions, including subsidized trade-in programs for stainless steel and support for traditional cast iron or earthenware, could address the economic logic that currently locks vendors into aluminum. The researchers also recommend simple protective habits: avoid cooking acidic or salty foods in aluminum, never store leftovers in aluminum pots, and discard old, pitted vessels. Future work should expand sample sizes, include baseline measurements of raw ingredients to enable precise source attribution, assess bioavailability rather than total content, and integrate biomonitoring of urinary or hair aluminum to confirm internal exposure. As a pilot study, its numbers are indicative rather than definitive—but the convergence of analytical, observational, and behavioral evidence makes a compelling case that one of the world’s most common cooking materials deserves far more regulatory and public attention than it currently receives.

Subject of Research: Aluminum migration from cookware into food and the behavioral determinants of cookware use among urban food vendors

Article Title: Dietary aluminum exposure from cookware uses and its association with behavioral determinants in an urban pilot study

Article References: Kejiya, J. P., Jahnavi, K. L., sai, G. K., Vadlamudi, S., Gudapati, S. L., Boddupalli, P., S, J. G., S, R. P., Munikumar, M., & B, C. K. (2026). Dietary aluminum exposure from cookware uses and its association with behavioral determinants in an urban pilot study. Discover Toxicology, 3(1), Article 11. https://doi.org/10.1007/s44339-026-00057-x

Image Credits: AI Generated

DOI: 10.1007/s44339-026-00057-x

Keywords: aluminum, cookware, food contamination, dietary exposure, heavy metals, ICP-MS, street food, risk perception, public health, food safety, pilot study, neurotoxicity

The idea behind the experiment rests on embodied cognition, a framework in cognitive science holding that thinking is not confined to the brain but is grounded in bodily states and sensorimotor experiences. According to this view, abstract concepts borrow their structure from concrete physical experience. Temperature is one of the most studied grounding dimensions: physical warmth has been linked to social trust and interpersonal closeness, while cold has been associated with alertness, psychological distance, and threat sensitivity. Because climate change is an abstract, temporally distant risk, researchers have long suspected that bodily cues—especially cold sensations, which mirror the literal subject matter of global cooling fears and physical threat—might make the risk feel more immediate and concerning.

In the original 2012 experiments, Lewandowski, Ciarocco, and Gately asked participants to chew temperature-inducing gum as part of what they believed was a taste test. Cinnamon-flavored gum produced sensations of warmth, mint-flavored gum produced sensations of cold, and control participants chewed flavorless gum. Those who felt cold reported greater concern about climate change, greater willingness to volunteer for an environmental organization, and a larger intended time commitment than controls. The findings were arresting, but they arrived from a discipline now wrestling with a well-documented replication crisis, and embodied cognition research has been singled out as an area particularly vulnerable to failures of reproduction. Machery’s recent assessment of the field catalogues how many classic embodiment effects have failed to hold up under stricter experimental controls, making an independent test of the gum effect scientifically important rather than merely curious.

The replication team introduced three methodological improvements designed to address the most obvious weaknesses of the original work. First, rather than relying solely on undergraduates—the famously unrepresentative ‘WEIRD’ population of Western, educated, industrialized, rich, democratic societies—they recruited a community sample alongside a student sample, allowing them to test whether the effect generalizes beyond young, highly educated participants. Second, they added a bubble-gum condition, a flavor that carries temperature associations for some people but is far weaker than mint or cinnamon, to separate the effect of chewing itself from the effect of temperature-inducing flavors. Third, and critically, experimenters were blinded to which gum each participant had received, since evidence shows that unblinded experimenters can inflate effect sizes by unconsciously influencing participants or their own data recording.

The procedure mirrored the original study closely. All gums were white, identical in shape, and stored in sealed containers, and participants were told they were taking part in a taste test. A total of 116 people took part: 58 undergraduates with a mean age of about 21, and 58 community members with a mean age of about 37, roughly 41 percent of whom held a university degree. Participants were equally divided across the three flavor conditions and, while chewing, completed a ten-item survey measuring climate change risk perception, concern for social issues in general, willingness to volunteer for a climate organization, and the perceived temperature of the gum. Only after the session ended did the experimenter identify the flavor using a hidden marker inside the container.

The manipulation worked. Sixty-one percent of participants who chewed cinnamon gum reported feeling heat, compared with just 5 percent in the mint condition and 21 percent in the bubble-gum condition, while 57 percent of the mint group reported sensations of cold against 5 percent of the cinnamon group and 15 percent of the bubble-gum group. Importantly, perceived and actual room temperatures did not differ across conditions, ruling out ambient temperature as an alternative explanation. The stage was thus set for a clean test of whether the induced temperature sensations moved climate attitudes.

The headline result partially replicated the original study. Participants who chewed mint gum reported significantly greater concern about climate change than those who chewed bubble gum, with a small overall effect size. The effect was driven entirely by the undergraduate sample, where it was moderately strong, whereas the community sample showed no reliable difference across conditions. In a further echo of the original findings, gum flavor had no effect on concern about unrelated social issues, supporting the specificity of the manipulation—it was climate concern, not general negativity, that shifted. On pro-environmental behavior, participants in the mint condition were more willing to volunteer for a climate organization, with 48 percent expressing willingness compared with 26 percent in the cinnamon condition and 24 percent in the bubble-gum condition, a pattern that held across both samples.

Yet the replication also revealed sharp limits. Unlike the original study, the sensation of cold did not increase the number of hours participants said they would volunteer, a result that remained non-significant even after sensitivity analyses excluding extreme outliers. The authors interpret this gap between intention and commitment through the lens of the well-known attitude–behavior gap in environmental psychology: concern about climate change is only weakly correlated with actual pro-environmental behavior, a relationship complicated by factors such as learned helplessness, perceived inefficacy of mitigation responses, education, and entrenched habits. Theoretical models such as the Theory of Planned Behavior and Value-Belief-Norm theory emphasize motivational and normative pathways from belief to action, and the findings suggest that a fleeting bodily sensation may nudge attitudes without activating the deeper mechanisms required for sustained behavioral commitment.

Why did the effect appear only in undergraduates? The authors point to research showing that younger people are more responsive to contextual climate cues, reflecting their developmental stage, active identity exploration, and heavy exposure to climate discourse in education and media. For students, climate change is a salient identity issue, so a cold sensation may more readily connect bodily threat cues with an already-primed mental representation of climate risk. Older community members, whose beliefs are more crystallized and shaped by diverse life experiences, appear far less susceptible. The result carries an important warning for the field: embodied interventions may work only for narrow populations, and generalizing effects from student samples to the public at large—as much of psychology has traditionally done—is a hazardous enterprise. The relatively small subgroup sizes in the new study also temper confidence, underscoring the need for larger and more diverse samples in future work.

The study did not control for confounds such as prior climate concern, political ideology, or environmental literacy, all of which are known to shape climate beliefs, and the authors flag this as a priority for follow-up research. Still, the broader lessons are clear. Embodied temperature effects on climate concern are real but fragile, cold-specific, and demographically bounded. The work reinforces growing skepticism about the robustness of classic embodiment findings while demonstrating exactly the kind of methodological rigor—community samples, neutral control conditions, and blinded experimenters—that can distinguish durable effects from artifacts. For anyone hoping that a stick of mint gum could substitute for climate communication, the message is sobering: bodily sensations may open a small window of concern, but converting that feeling into lasting engagement requires motivational and efficacy-building strategies that no flavor can deliver.

Subject of Research: The influence of embodied temperature sensations, induced by chewing gum flavor, on climate change beliefs and behavioral intentions.

Article Title: Climate change as a matter of taste? The influence of gum flavor and embodied cognition on climate change beliefs. Replicating Lewandowski, et al. (2012)

Article References: Climate change as a matter of taste? The influence of gum flavor and embodied cognition on climate change beliefs. Replicating Lewandowski, et al. (2012). (n.d.). https://doi.org/10.1007/s12144-026-10047-2

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10047-2

Keywords: embodied cognition, climate change beliefs, chewing gum, replication study, embodied temperature, environmental psychology, attitude-behavior gap, risk perception, Current Psychology, experimenter blinding, undergraduate sample, climate concern