Personal Health Risks Research Articles

A triadic model of job retention and turnover dynamics in the hospitality industry

Purpose This study aims to examine key factors influencing hospitality employee turnover in a post-pandemic context, challenging conventional assumptions about the role of demographics and work-related factors in retention decisions. Design/methodology/approach The research adopted a comprehensive framework using the capability approach and geospatial data analysis, integrating social vulnerability indexes with survey responses from 797 hospitality employees. This study analyzed turnover intentions across demographics, job roles and regions, focusing on Florida’s I-4 corridor. Findings Individual conversion factors like age and marital status were the strongest predictors of turnover, with older and married employees less likely to leave their jobs. In contrast, traditional variables like income, education and job type did not significantly influence turnover intentions. The pandemic blurred distinctions between job roles, highlighting personal circumstances, health risks and economic pressures as critical factors. Contrary to expectations, financial assistance did not significantly reduce turnover intentions. In addition, employees’ life circumstances, such as social vulnerability, influence labor relations and turnover more than work-related conditions. Research limitations/implications This study enriches turnover literature by confirming that personal life circumstances, like age and marital status, are pivotal in understanding employee retention. It challenges conventional demographic and work-related predictors and urges future research to explore the interaction between personal and professional factors in the hospitality industry. The study’s agent-based framework deepens the understanding of how various factors shape employee decisions to stay or leave. Practical implications The findings suggest that hospitality employers must develop more localized, employee-centric retention strategies, especially for younger employees. Tailored approaches considering regional and demographic differences, such as providing career development opportunities and flexible work conditions, could foster long-term loyalty. In rural areas, retention efforts should focus on improving job satisfaction and community support, while in urban areas, strategies prioritize career progression and flexibility. Social implications The study’s findings have significant social implications, particularly in reshaping how employee retention strategies are developed in the hospitality industry. By emphasizing life circumstances over traditional work-related factors, the research highlights the importance of supporting employees’ resilience, especially for those facing social vulnerability. Employers may need to create more flexible and inclusive policies that account for personal, economic and health-related challenges. In addition, the findings suggest that financial aid alone is insufficient in reducing turnover, calling for a more holistic approach that integrates emotional and social support to foster a more stable and loyal workforce. Originality/value This study challenges traditional turnover models by shifting focus from work-related factors to life circumstances, particularly the resilience of older and married employees. It integrates three dimensions – personal (sociodemographics), social (support) and environmental (job type, pandemic challenges) – to examine their influence on employee agency. This triadic framework offers insights into how individual, social and contextual factors shape turnover decisions.

Physical health mindsets and information avoidance

Health mindsets refer to beliefs about the malleability (growth mindset) versus stability (fixed mindset) of physical health and have gained traction as a predictor of health beliefs and behaviors. Across two studies, we tested whether health mindsets were associated with avoiding personalized health risk information. In Study 2, we also tested whether conceptually-related constructs of internal and chance health locus of control, health self-efficacy, fatalism, and genetic determinism were associated with information avoidance. Health mindsets were manipulated in Study 1 (college students, n = 284; 79.58% female; Mage = 19.74) and measured in Study 2 (participants recruited through MTurk, n = 735; 42.04% female; Mage = 35.78). In both studies, participants viewed a prediabetes infographic and were informed they could learn their prediabetes risk by completing an online risk calculator. Behavioral obligation was also manipulated in both studies to test whether an additional behavioral requirement associated with learning one’s risk would exacerbate any negative impact of health mindsets on avoidance rates. All participants then indicated their interest in learning their prediabetes risk (avoidance intentions) and decided whether to complete the online risk calculator (avoidance behavior). In Study 1, there was no impact of health mindsets, behavioral obligation, or their interaction on avoidance intentions or behavior. Study 2 similarly did not provide consistent evidence for an association of health mindsets, behavioral obligation, or their interaction with avoidance intentions or behavior. However, in Study 2, internal health locus of control was consistently associated with both intentions and behavior. Health information avoidance may be a barrier to prevention and early detection of disease. To encourage individuals to learn potentially important health information, public health interventions might seek to increase people’s beliefs that their own actions play a role in their health outcomes. Interventions may also seek to increase people’s knowledge about and skills regarding improving their health outcomes, which may influence health locus of control beliefs.

ERG-AI: enhancing occupational ergonomics with uncertainty-aware ML and LLM feedback

Workers, especially those involved in jobs requiring extended standing or repetitive movements, often face significant health challenges due to Musculoskeletal Disorders (MSDs). To mitigate MSD risks, enhancing workplace ergonomics is vital, which includes forecasting long-term employee postures, educating workers about related occupational health risks, and offering relevant recommendations. However, research gaps remain, such as the lack of a sustainable AI/ML pipeline that combines sensor-based, uncertainty-aware posture prediction with large language models for natural language communication of occupational health risks and recommendations. We introduce ERG-AI, a machine learning pipeline designed to predict extended worker postures using data from multiple wearable sensors. Alongside providing posture prediction and uncertainty estimates, ERG-AI also provides personalized health risk assessments and recommendations by generating prompts based on its performance and prompting Large Language Model (LLM) APIs, like GPT-4, to obtain user-friendly output. We used the Digital Worker Goldicare dataset to assess ERG-AI, which includes data from 114 home care workers who wore five tri-axial accelerometers in various bodily positions for a cumulative 2913 hours. The evaluation focused on the quality of posture prediction under uncertainty, energy consumption and carbon footprint of ERG-AI and the effectiveness of personalized recommendations rendered in easy-to-understand language.

Patterns and Consequences of Delayed Self Care Among Rural Medical Providers.

The purpose of this study was to (a) examine personal healthcare practices of rural medical providers by issue type (e.g., physical health, social health, or mental health), (b) identify perceived consequences of taking time off and (c) determine whether greater delay in self-care was associated with perceived stress and burnout. Electronic surveys were sent to 805 medical providers (response rate = 17.8%, n = 143). The setting was a rural teaching hospital and affiliated community clinics. Participants included 143 rural medical providers. The survey included demographic information, perceived personal health risk, and questions about delaying health care, and perceived consequences of receiving health care. Medical providers delayed mental health care needs significantly more than physical health needs, t131 = 5.13, P < .01, d = .38. Respondents believed that there would be significantly more retaliation against them for taking time off for psychosocial issues, t124 = -3.80, P < .001, d = .25. There was a significant negative association between burnout and physical health self-care (r = -.24, P < .01), psychosocial self-care (r = -.20, P = .01), and mental health self-care (r = -.23, P < .01). Our study identified commonly reported consequences related to taking off work for care seeking behavior. Understanding perceived consequences can help guide health care organizations in dismantling these barriers. This study is limited by the generalizability of its sample.

Why do people avoid health risk information? A qualitative analysis

Despite the potential benefit of receiving personalized health risk information, when given the opportunity to learn their risk, some people avoid that information. An extensive body of research has revealed various reasons for such information avoidance. Most of this existing work has used quantitative methods, with less focus on self-reported reasons for avoiding health risk information. We used a content analysis approach across four datasets (Dataset 1: n = 174, Dataset 2: n = 326, Dataset 3: n = 83, Dataset 4: n = 168), with the goal of identifying a broad range of self-reported reasons for avoidance. In each study, U.S. adults had the opportunity to learn their personalized risk estimate for a health condition through an online risk calculator (Health condition contexts: Dataset 1: heart disease, stroke, diabetes, prediabetes, lung cancer, colon cancer, melanoma skin cancer, breast cancer, or prostate cancer; Datasets 2 and 3: prediabetes; Dataset 4: melanoma skin cancer, stroke, lung cancer, osteoporosis, prediabetes, or diabetes). Participants who avoided their risk were asked to explain their reason(s) for avoidance via an open-ended question. Coding of these responses resulted in four overarching categories of self-reported reasons for information avoidance: information appraisal, self-perceptions of health, low utility, and affective consequences. The reasons identified both support and extend the current understanding of why people avoid health risk information.

Assessment of Health Risk from Exposure to Respirable Particulate Matter (RPM) among Motorcycle Taxi Drivers in Bangkok and Adjacent Provinces, Thailand

Exposure to outdoor air pollutants, particularly respirable particulate matter (RPM), can cause adverse health outcomes. The cross-sectional study aimed to assess motorcycle taxi driver’s health risk from exposure to RPM. A total of 153 motorcycle taxi drivers were recruited in Bangkok and five adjacent provinces during May and June 2022. The standardized questionnaire for data collection contained exposure time (hour/day), frequency of exposure (days/years), duration of exposure (year), body weight (kg), and averaging time (days). The average RPM concentration from six provinces were assessed personal air sampling pumps and ranged from 0.006-0.031 mg/m3. Bangkok showed the highest average RPM concentration (0.031 mg/m3), followed by Pathumthani (0.028 mg/m3), Samut Prakan (0.009 mg/m3), Nakhon Pathom (0.008 mg/m3), Nonthaburi (0.007 mg/m3), and Samut Sakhon (0.006 mg/m3), respectively. The Hazard Quotient (HQ) values for a non-carcinogenic risk to human health caused by RPM exposure in each province indicated a negligible risk (HQ=0.005-0.028). HQ averages (HQ=0.013) from all provinces were also at an acceptable level (≤1). Not all motorcycle taxi drivers are safe from RPM exposure, although their exposure is within acceptable limits depending on their individual susceptibility. Therefore, this is the first report on quantifying exposure to RPM from personal air sampling and health risk assessment among motorcycle taxi drivers. These findings would be useful information for further preventing and controlling ambient air pollution including policies and strategies to mitigate the risks for motorcycle-taxi drivers and the other exposed populations.

The factors determining motivation of blood plasma donorship, including conditions of COVID-19 pandemic

The article analyzes publications considering motivation of plasma donors by factors related to ethical and socio-economic aspects. Their detailed analysis and systematical consideration in the work contributes into more effective informing of new potential donors, improving recruitment and retention of donors. The detailed analysis established among causes of negative beliefs and negative experiences regarding donorship such factors as increased risk of infectious diseases, decreased vitality, vaso-vagal reactions and reduced iron content. It is demonstrated that experienced plasma donors try to maintain practice of donorship in conditions of intensive life activity, often applying flexible approach to frequency of plasma donation. Their knowledge about contribution that their donation makes is key factor in continuing donation. However, the COVID-19 pandemic developed additional obstacles to donorship due to state preventive measures and increased personal health risks. In order to develop donorship policy during pandemic in the future, it is important to study changes in motivation of donors during pandemic.

Nursing Staff in a Large Hospital System Underutilize Insurance-Based Mental Health Services.

Nurses are at high risk of burnout and subsequent mental health concerns due to problems with overstaffing, immense workload volume, and personal health risks associated with the job. Effective mental health treatments are available but potential barriers to receiving care may prevent nurses from benefiting. The Emotional Health and Well-Being Clinic (EHWC) at Houston Methodist is an outpatient mental health clinic offering therapy and medication management services for employees and employee dependents of our institution. The EHWC is uniquely positioned to observe how nurses utilize mental health services and to address barriers to effective care for this vital group of healthcare professionals. This paper provides descriptive data on the utilization of mental health services by nurses in the EHWC and a discussion of possible challenges faced by this group when seeking care. Based on these data, we propose potential solutions to ensure that nurses can achieve maximum benefit from outpatient mental health services.

Social support and academic experience among higher education students in Israel during the COVID-19 pandemic.

This study focused on the implications of the COVID-19 pandemic on the academic experience of university students and their plans for dropping out. We examined how their health, exposure to COVID, and personal COVID-related health risk were associated with perceived social support and a positive academic experience versus plans to drop out of academic studies. We questioned 10,635 students from six research universities in Israel in a cross-sectional online survey. Our findings confirmed that exposure to COVID-19 was positively associated with perceived social support and plans to drop out of academic studies, but negatively associated with a positive academic experience. The greater the perceived social support, the more positive the academic experience, with fewer plans to drop out academically. The more negative students' perceptions of their general health, the more frequent the plans to drop out of academic studies. Also, perceived social support and a positive academic experience mediated the associations between COVID-19 exposure and health status, and plans to drop out of academic studies. This study highlights the potentially positive role of social support and positive academic experiences as significant resources and potential protective factors against plans brought on by COVID to drop out of academic studies.

The Importance of Nutrigenetics and Microbiota in Personalized Medicine: From Phenotype to Genotype.

Background After the completion of the Human Genome Project in 2003, the impact of genetic variations among people on human health was better understood. Precision medicine, also called 4P (Predictive, Preventive, Personalized, Participatory) medicine, is used to determine personal health risks, prevent, diagnose, and treat chronic diseases, and aims to identify the phenotypic, genotypic, and environmental factors that affect individual health risks instead of applying the same approach to everyone. Methods The study was conducted with 24 patients aged between 7 and 57. The patient group was selected from individuals who had undergone genetic and microbiota testing at Epigenetic Coaching Company. The patients' age, gender, and health status were documented. Genomic analysis of buccal samples was subsequently conducted using a custom Infinium HTS iSelect microarray on an Illumina iScan instrument, and microbiota metagenome analysis was performed using an Illumina NextSeq 500 platform. This study was performed in line with the principles of the Declaration of Helsinki. Approval was granted by the Ethics Committee of Biruni University Molecular Biology and Genetics Ethics Committee, with the decision number 2023/78-03. Results The genotypes of 19 cases carrying genetic variants involved in the metabolism of Vitamin D, Folate, B12, and Choline were analyzed. Eight of the cases were included in our study as autism patients, eight as allergy patients, and three as autoimmune thyroiditis patients. The Vitamin D receptor (VDR) genetic variants and microbiota diversity (using the Firmicutes/Bacteroides ratio, an indicator of dysbiosis) of 11 cases (9 allergy and two autism patients) participating in the study were evaluated together. Conclusions Translating nutrigenetic and nutrigenomic research into multidisciplinary clinical practice is the most challenging aspect. It is now evident that integrating data regarding phenotype and genotype, and using nutrition, lifestyle, and supplements tailored to an individual's genetics can increase clinical success. Importantly, if we wish to adopt an epigenomic approach, we must incorporate analyses of nutrigenetics, microbiota, and personalized risk based on test results.

From long-term follow-up Recommendations for clinical practice to plain language summaries for childhood, adolescent, and young adult cancer survivors

BackgroundHaving sufficient knowledge of cancer diagnosis, treatment and late effects in survivors of childhood, adolescent, and young adult (CAYA) cancer is important for effective self-management and optimising health outcomes. Therefore, in collaboration with different stakeholders, the PanCare PLAIN Information Group converted the PanCareFollowUp Recommendations for late effects surveillance into information summaries that are Person-centred, written in Lay language, Accessible, Internationally relevant, and Navigable (PLAIN). MethodsThe PanCare PLAIN Information Group, comprising 21 stakeholders from seven European countries, collaborated to provide concise information for survivors and their families. The aim was to deliver PLAIN summaries that are clear and accessible for the majority of survivors, while providing links to additional sources of information. The PLAIN summaries were drafted by the PanCare PLAIN Information Group and subjected to two internal and one external consultation round, the latter involving experts, CAYA cancer survivors and parents/caregivers. ResultsIn total, 45 PLAIN summaries were developed, each corresponding to one of the PanCareFollowUp Recommendations for late effects surveillance. The summaries provide information about late effects, personal health risks, important symptoms and signs, recommended surveillance strategies, possible referral and treatment options, and self-care. ConclusionsThe PLAIN summaries are meant to increase knowledge in survivors and their families, while they may also inform healthcare professionals. Along with their translations, the PLAIN summaries will be made freely available on the PanCare website, with a link provided on the European Network of Youth Cancer Survivors information platform. In addition, they will become and integral part of the Survivorship Passport.

“It’s My Moral Responsibility to Protect Others!” Examining the Effects of Moral Framing and Message Format on Influenza Vaccination Attitude and Intention

ABSTRACT Vaccinations serve a dual purpose: safeguarding the vaccinated individuals while also preventing potential transmission to others. However, the pro-vaccine message has primarily emphasized the personal health risks and harms of not getting vaccinated, while rarely highlighting the moral responsibility of getting vaccinated to protect others. Guided by the Model of Intuitive Morality and Exemplars (MIME) along with the narrative persuasion framework, the current study conducted a 2 (moral framing: vaccination to protect oneself vs. protect others) X 2 (message format: statistical vs. narrative) between-subject online experiment to examine the effects of moral framing and message format on vaccination decision-making. The results revealed that individuals exposed to a pro-vaccine message framing vaccination as a moral responsibility to protect others from harm reported significantly higher levels of perceived moral responsibility and elevation, more positive attitudes toward the flu vaccine, and an increased intention to get vaccinated compared to a pro-vaccine message emphasizing vaccination for self-protection. Counterintuitively, presenting the moral responsibility of receiving the flu vaccine to safeguard others in a statistical format was discovered to be more effective in fostering favorable attitudes toward vaccination and increasing the intention to get vaccinated. This study offers a valuable insight: promoting vaccination as a moral duty could be a promising strategy for motivating individuals to get vaccinated.

Navigating Public Policy Responses to a Pandemic: The Balancing Act Between Physical Health, Mental Health, and Household Income

ObjectiveDuring COVID-19, governments imposed restrictions that reduced pandemic-related health risks but likely increased personal and societal mental health risk, partly through reductions in household income. This study aimed to quantify the public’s willingness to accept trade-offs between pandemic health risks, household income reduction, and increased risk of mental illness that may result from future pandemic-related policies. MethodsA total of 547 adults from an online panel participated in a discrete choice experiment where they were asked to choose between hypothetical future pandemic scenarios. Each scenario was characterized by personal and societal risks of dying from the pandemic, experiencing long-term complications, developing anxiety/depression, and reductions in household income. A latent class regression was used to estimate trade-offs. ResultsRespondents state a willingness to make trade-offs across these attributes if the benefits are large enough. They are willing to accept 0.8% lower household income (0.7-1.0), 2.7% higher personal risk of anxiety/depression (1.8-3.6), or 3.2% higher societal rate of anxiety/depression (1.7-4.7) in exchange for 300 fewer deaths from the pandemic. ConclusionResults reveal that individuals are willing to accept lower household income and higher rates of mental illness, both personal and societal, if the physical health benefits are large enough. Respondents placed greater emphasis on maintaining personal, as opposed to societal, mental health risk and were most interested in preventing pandemic-related deaths. Governments should consider less restrictive policies when pandemics have high morbidity but low mortality to avoid the prospect of improving physical health while simultaneously reducing net social welfare.

‘Valuable Lives to Save’ vs. ‘Babysitting These People While They Try to Kill Themselves’: Changing Police Attitudes Towards Safe Consumption Sites

Abstract North American police responses to the ‘drug issue’ have long been shaped by a crime control rather than a harm reduction imperative. Consequently, police officers’ responses to safe consumption sites (SCSs), where people who use illicit drugs can reduce personal health risks by administering previously obtained drugs in the presence of trained staff, were initially hostile. This paper draws on interview data from police officers in two western Canadian cities to highlight an apparent softening in attitudes, perhaps due to the current fentanyl-driven drug poisoning crisis. While some officers clearly recognized their public health benefits, others accepted SCSs, acknowledging the futility of a continued ‘war on drugs’. Some voiced reservations about SCSs, but not because of a generic ‘drugs are bad’ sentiment. Rather, they worried about specific downstream implications for communities and police work. These findings, reflecting apparent changes in police officers’ responses to SCSs, are discussed in the context of contemporary debates about police culture and the possibilities and desirability of pursuing police reform.

Analyzing consumer perceptions about food safety by applying the food-related lifestyle approach.

Food safety standards remain a major concern for consumers, especially in developing and emerging economies, due to gaps in the capacities of food safety enforcement institutions and limited investments from private sector actors. This study analyzes consumer behavior and food safety-related lifestyles in Kosovo, a post-communist emerging economy. Consumer groups were identified according to their food-related lifestyle using the classical 2-stage segmentation approach of factor analysis as well as cluster analysis. The study findings indicate that almost two-thirds of the surveyed consumers are fairly or very concerned about food safety. The results reveal that highly educated female consumers are more concerned about personal health risks, food safety-related content, and related diseases. This study provides interesting insights for food safety policymakers and the agroindustry on how to promote food safety consumer awareness effectively with targeted communication strategies.

Advancing nutrition risk assessment in middle-aged and older individuals with diverse food cultures: A data-driven personalized approach to predict incident hypertension, diabetes and mortality.

Personalized nutrition risk assessment is crucial in addressing the association between healthy dietary habits across the life course and the development of disease, functional capacity, and healthy aging, as specific dietary pattern recommendations may not be suitable for diverse food cultures. To develop a data-driven, personalized nutrition risk assessment algorithm linked to incident hypertension, diabetes, and all-cause mortality utilizing the food frequency questionnaire among middle-aged and older individuals. A retrospective, population-based cohort study conducted between 1999 and 2015 utilized the nationally representative Taiwan Longitudinal Study on Aging (TLSA) survey to examine personalized dietary risk clusters and their associations with health outcomes. Latent class analysis was performed to derive the dietary diversity clusters among community-dwelling middle-aged and older individuals. Outcomes were defined as new-onset hypertension, diabetes mellitus and all-cause mortality at 4-, 8-, 12- and 16-year follow-ups. Data from 1,811 participants (58.14% males, 43.90% aged 50-64 years) showed that around one-third of participants reported being illiterate, 21.98% widowed, and 51.46% engaging in regular physical exercise. Four dietary diversity clusters were identified: "least diverse", "fish and meat", "dairy, fruit, and vegetable", and "most diverse". The "most diverse" cluster was characterized by a high consumption of protein-rich foods, while the "dairy, fruit, and vegetable" cluster had the highest consumption of dairy products and beans/legumes. The "least diverse" cluster had the lowest intake of protein-rich foods, and dark-colored vegetables and fruits. The "most diverse" cluster had a significantly lower risk of hypertension development at the 4-year (aOR 0.58; p < 0.02) and 8-year (aOR 0.57; p < 0.01) follow-up and diabetes at the 4-year (aOR 0.44; p < 0.03) follow-up. Participants in the "most diverse" clusters exhibited lower risks of 8-year, 12-year, and 16-year mortality than those in the "least diverse" cluster (aOR 0.67, p < 0.05; 0.67, p < 0.03; and 0.50, p < 0.01, respectively). The personalized nutrition risk assessment algorithm from the food frequency questionnaire can effectively stratify personal health risks among diverse middle-aged and older individuals, making it a valuable tool in lifestyle modification and intervention studies.

Educational attainment and family health risk behaviors

Many studies have shown that education does play a role in personal health risk behaviors, but few studies have focused on whether education significantly affects family health risk behaviors. In this article, we aim to examine the effects of educational attainment on family health behaviors using survey data from China Family Panel Studies (CFPS). The ordinary least squares (OLS) approach and the instrumental variable (IV) method are adopted. Regression results show that the educational attainment of respondents has a significant inhibitory effect on household smoking participation, the number of smokers, and the number of cigarettes smoked per day, but has no significant effect on household drinking behavior. Results of mechanism analysis reveal that a one-stage increase in the population's education level would reduce the probability of smoking initiation by 7.89% and decrease the daily cigarettes consumption by 4.59. Heterogeneity analyses suggest that compared to women, men's increased educational attainment has a significant inhibitory effect on smoking participation not only for themselves but also for the rest of the household. From a health perspective, we suggest that the government should further promote the development of education.

Distribution Characteristics of Arsenic in Drinking Water in China and Its Health Risk Based on Disability-adjusted Life Years

Long-term exposure to arsenic can lead to functional damage to many organs and can be life-threatening. It is of great significance to analyze the distribution characteristics of arsenic in water and evaluate its potential risk for preventing and controlling human health hazards caused by water-derived arsenic. Based on the published data from 2000 to 2022, the geographical distribution characteristics of arsenic in drinking water across China were systematically analyzed in detail, and the health risk of arsenic in drinking water was quantitatively assessed using disability-adjusted life years (DALYs), which represent the burden of disease. The results showed that the average concentration of arsenic in drinking water in China was (2.88 ±0.33) μg·L-1, which was lower than the limit of 10 μg·L-1 set by the standard for drinking water quality (GB 5749-2022). Nevertheless, the arsenic in drinking water in some provinces, including Shanxi, Inner Mongolia, and Ningxia, was still higher than the limit. The arsenic concentration in drinking water in northern China was higher than that in southern China, and that in rural areas was higher than that in cities. The estimated health risk of arsenic in drinking water (1.63×10-6 DALYs per person-year) was higher than the acceptable risk level of waterborne exposure of 1.0×10-6 DALYs per person-year set by the World Health Organization. The personal health risks related to arsenic in drinking water in the six geographical regions were ranked as follows:North China &gt; Northeast China &gt; Central South China &gt; Northwest China &gt; Southwest China &gt; East China. Almost all (99.4%) of the health burden associated with water arsenic was attributable to skin and lung cancer, which caused 2 905.25 and 1 513.96 DALYs per year, respectively. Most (78.0%) of the health burden was borne by people aged 45 years or older. In addition, given the proportion of each age group in the total population, older persons over the age of 60 bear a higher drinking-water-associated arsenic burden at the individual level than others, and attention should be consequently paid to them when controlling the risk of arsenic in water.

Factors influencing patient-provider communication about subjective cognitive decline in people with COPD: Insights from a national survey.

Objective: While there is a growing body of evidence indicating a relationship between COPD and cognitive impairment, there is a gap in evidence regarding discussions of cognitive symptoms in healthcare settings. This study investigated the extent to which individuals with Chronic Obstructive Pulmonary Disease (COPD) and Subjective Cognitive Decline (SCD) self-reported confusion or memory loss with healthcare professionals. Methods: A secondary analysis of 2019 BRFSS data of US adults aged 45+ with COPD (N = 107,204), using logistic regression to explore associations between socio-demographic and health-related indicators with discussion of cognitive symptoms with healthcare professionals. Results: Less than half (45.88%) of individuals reporting SCD discussed their cognitive symptoms with their healthcare provider. In the adjusted model, unemployed (AOR = 2.92, 95% CI: 1.70-5.02, p < .005), retired (AOR = 3.16, 95% CI: 1.37-7.30, p < .01), and current smokers (AOR = 1.73, 95% CI: 1.02-2.93, p < .05) were more likely to discuss cognitive decline with a healthcare professional than their counterparts. In contrast, males (AOR = 0.53, 95% CI: 0.32-0.86, p < .05) and binge drinkers (AOR = 0.49, 95% CI: 0.30-0.79, p < .01) were significantly less likely to do so when compared to their counterparts. Discussion: The study highlighted significant disparities in the likelihood of individuals with COPD discussing cognitive symptoms based on socio-demographic and health risk behaviors. Conclusion: Addressing gender disparities, occupational status, and personal health risks is crucial for improving patient-provider communication about SCD among adults with COPD.

Conceptual foundations of a corporate intelligent risk-based system for analysis, prediction and prevention of occupational and work-related health disorders of workers

The relevance of the study is determined by the strategic interests of the Russian Federation dictating the need to achieve a national priority, which is the development of human potential. Given the ongoing reduction in labor force against a background of depopulation processes, finding a solution to the problem seems especially relevant. The purpose of this study is to develop a scientific conceptual framework for an intelligent risk-based innovative system for analysis, prediction and prevention of occupational and work-related health disorders of workers. This will help substantiate keynote sanitary-hygienic and medical-preventive measures aimed at reducing losses in healthy life expectancy and increasing occupational longevity. The main theoretical idea is based on a unique information-intellectual innovative system for analyzing and predicting cause-and-effect relationships between the effects of harmful and hazardous occupational factors and the resulting health problems of workers, occupational diseases included. The developed predictive digital neural network models, trained on retrospective or actual data on working conditions, health status, socioeconomic conditions and lifestyle factors, are the information and analytical basis for carrying out calculations and assessing the evolution of personal and group (occupation, age, and work records) health risks caused by occupational or work-related diseases in workers. This provides solid grounds for making a forecast of a prevented period of reduction in occupational working capacity associated with working conditions, specifically for each examined occupation, age, and work records. Such forecasts are an eligible information basis for developing and making well-grounded managerial decisions including those concerning sanitary, hygienic and medical preventive measures aimed at preserving occupational longevity. This will significantly increase effectiveness of corporate health-preserving policies.