Behavioral Determinants Of Health Research Articles

Psychological Determinants of Health Behavior.

This review provides a critical overview of current evidence on psychological health behavior determinants and its value in informing intervention and future determinants research. The review begins with work labeling and classifying the myriads of determinants available in the extant research to arrive at core groups of determinants. Next, the conceptual bases of these determinant groups are identified, and the weight of the evidence for their purported effects on health behavior, including belief-based determinants (e.g., outcome expectancies, capacity beliefs), determinants representing self-regulatory capacity (e.g., planning, action control) and nonconscious processes (e.g., habit, implicit cognition), and dispositional determinants (e.g., personality, regulatory control), is critically evaluated. The review also focuses on the theory-based mechanisms underpinning determinant effects and moderating conditions that magnify or diminish them. Finally, the review recommends a shift away from research on determinants as correlates, outlines how determinants can inform intervention development and mechanisms of action tests, suggests alternatives to predominant individualist approaches, and proposes future research directions.

Implementation of a Technology-Enabled Diabetes Self-Management Peer Coaching Intervention for Patients With Poorly Controlled Diabetes: Quasi-Experimental Case Study.

Patients with diabetes experience worse health outcomes and greater health care expenditure. Improving diabetes outcomes requires involved self-management. Peer coaching programs can help patients engage in self-management while addressing individual and structural barriers. These peer coaching programs can be scaled with digital platforms to efficiently connect patients with peer supporters who can help with diabetes self-management. This study aimed to evaluate the implementation of a technology-enabled peer coaching intervention to support diabetes self-management among patients with uncontrolled diabetes. MetroPlusHealth, a predominant Medicaid health maintenance organization based in New York City, partnered with Pyx Health to enroll 300 Medicaid patients with uncontrolled diabetes into its 6-month peer coaching intervention. Pyx Health peer coaches conduct at least 2 evidence-based and goal-oriented coaching sessions per month with their assigned patients. These sessions are focused on addressing both behavioral and social determinants of health (SDoH) with the goal of helping patients increase their diabetes self-management literacy, implement self-management behaviors, and reduce barriers to ongoing self-care. Data analyzed in this study included patient demographic data, clinical data (patient's hemoglobin A1c [HbA1c]), and program implementation data including types of behavioral determinants of health and SDoH reported by patients and types of interventions used by peer coaches. A total of 330 patients enrolled in the peer mentoring program and 2118 patients were considered to be on a waitlist group and used as a comparator. Patients who enrolled in the peer coaching program were older; more likely to be English speakers, female, and African American; and less likely to be White or Asian American or Pacific Islander than those in the waitlist condition, and had similar HbA1c laboratory results at baseline (intervention group 10.59 vs waitlist condition 10.62) Patients in the enrolled group had on average a -1.37 point reduction in the HbA1c score (n=70; pre: 10.99, post 9.62; P<.001), whereas patients in the waitlist group had a -0.16 reduction in the HbA1c score (n=207; pre 9.75, post 9.49; P<.001). Among a subsample of participants enrolled in the program with at least 2 HbA1c scores, we found that endorsement of emotional health issues (β=1.344; P=.04) and medication issues (β=1.36; P=.04) were significantly related to increases in HbA1c. This analysis of a technology-enabled 1-on-1 peer coaching program showed improved HbA1c levels for program participants relative to nonprogram participants. Results suggested participants with emotional stressors and medication management issues had worse outcomes and many preferred to connect through phone calls versus an app. These findings support the effectiveness of digital programs with multimodal approaches that include human support for improving diabetes self-management in a typically marginalized population with significant SDoH barriers.

Large-scale identification of social and behavioral determinants of health from clinical notes: comparison of Latent Semantic Indexing and Generative Pretrained Transformer (GPT) models

BackgroundSocial and behavioral determinants of health (SBDH) are associated with a variety of health and utilization outcomes, yet these factors are not routinely documented in the structured fields of electronic health records (EHR). The objective of this study was to evaluate different machine learning approaches for detection of SBDH from the unstructured clinical notes in the EHR.MethodsLatent Semantic Indexing (LSI) was applied to 2,083,180 clinical notes corresponding to 46,146 patients in the MIMIC-III dataset. Using LSI, patients were ranked based on conceptual relevance to a set of keywords (lexicons) pertaining to 15 different SBDH categories. For Generative Pretrained Transformer (GPT) models, API requests were made with a Python script to connect to the OpenAI services in Azure, using gpt-3.5-turbo-1106 and gpt-4-1106-preview models. Prediction of SBDH categories were performed using a logistic regression model that included age, gender, race and SBDH ICD-9 codes.ResultsLSI retrieved patients according to 15 SBDH domains, with an overall average PPV ≥\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\ge$$\\end{document} 83%. Using manually curated gold standard (GS) sets for nine SBDH categories, the macro-F1 score of LSI (0.74) was better than ICD-9 (0.71) and GPT-3.5 (0.54), but lower than GPT-4 (0.80). Due to document size limitations, only a subset of the GS cases could be processed by GPT-3.5 (55.8%) and GPT-4 (94.2%), compared to LSI (100%). Using common GS subsets for nine different SBDH categories, the macro-F1 of ICD-9 combined with either LSI (mean 0.88, 95% CI 0.82-0.93), GPT-3.5 (0.86, 0.82-0.91) or GPT-4 (0.88, 0.83-0.94) was not significantly different. After including age, gender, race and ICD-9 in a logistic regression model, the AUC for prediction of six out of the nine SBDH categories was higher for LSI compared to GPT-4.0.ConclusionsThese results demonstrate that the LSI approach performs comparable to more recent large language models, such as GPT-3.5 and GPT-4.0, when using the same set of documents. Importantly, LSI is robust, deterministic, and does not have document-size limitations or cost implications, which make it more amenable to real-world applications in health systems.

Profiles of cardiometabolic risk and acculturation indicators among South Asians in the US: latent class analysis of the MASALA study.

South Asians (SA) represent the fastest growing US immigrant group, and previous studies have indicated that they face disproportionately high burden of cardiometabolic disease. Cardiometabolic disease manifests as a syndemic or synergistic epidemic encompassing multiple disease clusters influenced by biological, social, and psychological factors stemming from the acculturative process. This process may exacerbate morbidity within immigrant subgroups. Our aim was to identify cardiometabolic risk profiles among SA using indicators of acculturation. We conducted a latent class analysis on data from the Mediators of Atherosclerosis in South Asians Living in America study (N=771). A composite cardiometabolic disease outcome was constructed using prevalent hypertension, type 2 diabetes, and body mass index. Acculturation indicators included years living in the US, English language proficiency, dietary behaviors, preservation of cultural traditions, social and neighborhood support, maintenance of social relationships (i.e., friendships), and experiences of discrimination, along with proxies of acculturative stress (i.e., depressive symptomology, trait anxiety and anger). Social and environmental determinants of health, health behaviors, religiosity and spirituality served as covariates to further assess latent class membership. Four cardiometabolic risk profiles emerged: (1) lowest risk [73.8% of sample] characterized by high integration into both SA and US cultures; (2) the modest risk [13.4% of sample], exhibiting elevated levels of mental health distress and experiences of discrimination, and distancing themselves from both cultures; and the (3) moderate risk [8.9% of sample] and (4) highest risk [3.9% of sample], demonstrating greater assimilation into US culture. Compared to the lowest risk profile: the modest risk profile was associated with low-income and conflicting attitudes about religion/spirituality, while the moderate risk profile was characterized by lower income and educational attainment with positive behaviors and attitudes toward religion/spirituality. Findings expand our understanding of immigrant cardiometabolic health as a syndemic issue wherein multiple co-occurring and interacting processes synergize to produce negative outcomes in already at-risk subpopulations. Furthermore, acculturation emerges as a crucial factor in understanding health disparities among immigrant and refugee groups in the US.

Risk perception and reappraisal during the COVID-19 pandemic in southeast Alaska: Self-identified determinants of risk and protective health behaviors

Social and cultural context shapes how communities perceive health, well-being, and risk. Risk reappraisal can occur over time as a product of new information and improved understanding. We investigate risk perception and protective behaviors in Lingít Aaní (Southeast Alaska) during the first year of the COVID-19 pandemic. Surveys were circulated at two time points: (1) April–June 2020, before COVID-19 reached epidemic levels in the region, and (2) November 2020–February 2021. Ordinary least squares (OLS) regression models were used to analyze how demographic characteristics of the respondent population were related to risk perception. OLS models were again used to predict how individuals engaged in protective behaviors while controlling for risk perceptions. Controlling for demographic characteristics, risk perception increased as age increased for perceived risk of getting sick and dying from COVID-19, males perceived lower risk in general for all tested variables, and Alaska Native respondents perceived higher risk than non-Alaska Native respondents. Controlling for risk perception, results for protective behaviors were mixed; however, the strongest association identified was that knowing someone with a positive COVID-19 diagnosis increased protective behaviors. Between the two time points, risk perceptions increased significantly for variables related to oneself, others, and community members becoming infected with COVID-19. Protective behaviors like traveling less than normal, buying more cleaning products, and engaging in more subsistence gathering significantly increased. Identifying patterns of risk perception and protective behaviors, and especially how they change over time, are critical to developing place-specific public health recommendations, action, and preparedness plans against future infectious threats.

Clinician actions in response to Adverse Childhood Experience (ACE) screening

Background and ObjectiveAdverse Childhood Experiences(ACEs) have a powerful influence on mental health, physical health, and life expectancy. Screening for ACEs and the clinician response to ACEs are critical to addressing the health and well-being of children; however, little is known about the actions clinicians take in response to ACE screening. Therefore, we aimed to examine clinician responses to ACE screening at five California pediatric clinics in a large public health care system. MethodsPatient demographics, indicators of social and behavioral determinants of health (e.g., housing insecurity), the number of ACEs endorsed on a screening instrument, and the actions clinicians took in response to each ACE screen were collected. Data was collected from May to October 2021. These data were used to examine the association between number of ACEs reported and clinician response, controlling for patient demographics and their social and behavioral determinants of health using multiple logistic regression. ResultsFive participating pediatric clinics conducted 2,652 ACE screens in six-months. Clinicians documented an action twice as often when ACEs were present, after controlling for patient demographics and their social and behavioral determinants of health (odds ratio(OR) = 2.2, 95 % confidence interval(CI): 1.5–3.3, p-value < 0.0001). Clinicians were three times more likely to record referrals to mental health clinicians, social workers, and community organizations relative to anticipatory guidance when the number of ACEs increased from one to three to four or more (OR=3.2, 95 %CI: 1.6–6.5, p < 0.0001). ConclusionFindings provide early information that ACE screening results are associated with patient care.

Behaviour change intervention (education and text) to prevent dental caries in secondary school pupils: BRIGHT RCT, process and economic evaluation.

The presence of dental caries impacts on children's daily lives, particularly among those living in deprived areas. There are successful interventions across the United Kingdom for young children based on toothbrushing with fluoride toothpaste. However, evidence is lacking for oral health improvement programmes in secondary-school pupils to reduce dental caries and its sequelae. To determine the clinical and cost effectiveness of a behaviour change intervention promoting toothbrushing for preventing dental caries in secondary-school pupils. A multicentre, school-based, assessor-blinded, two-arm cluster randomised controlled trial with an internal pilot and embedded health economic and process evaluations. Secondary schools in Scotland, England and Wales with above-average proportion of pupils eligible for free school meals. Randomisation occurred within schools (year-group level), using block randomisation stratified by school. Pupils aged 11-13 years at recruitment, who have their own mobile telephone. Two-component intervention based on behaviour change theory: (1) 50-minute lesson delivered by teachers, and (2) twice-daily text messages to pupils' mobile phones about toothbrushing, compared with routine education. Primary outcome: presence of at least one treated or untreated carious lesion using DICDAS4-6MFT (Decayed, Missing and Filled Teeth) in any permanent tooth, measured at pupil level at 2.5 years. Secondary outcomes included: number of DICDAS4-6MFT; presence and number of DICDAS1-6MFT; plaque; bleeding; twice-daily toothbrushing; health-related quality of life (Child Health Utility 9D); and oral health-related quality of life (Caries Impacts and Experiences Questionnaire for Children). Four thousand six hundred and eighty pupils (intervention, n = 2262; control, n = 2418) from 42 schools were randomised. The primary analysis on 2383 pupils (50.9%; intervention 1153, 51.0%; control 1230, 50.9%) with valid data at baseline and 2.5 years found 44.6% in the intervention group and 43.0% in control had obvious decay experience in at least one permanent tooth. There was no evidence of a difference (odds ratio 1.04, 95% confidence interval 0.85 to 1.26, p = 0.72) and no statistically significant differences in secondary outcomes except for twice-daily toothbrushing at 6 months (odds ratio 1.30, 95% confidence interval 1.03 to 1.63, p = 0.03) and gingival bleeding score (borderline) at 2.5 years (geometric mean difference 0.92, 95% confidence interval 0.85 to 1.00, p = 0.05). The intervention had higher incremental mean costs (£1.02, 95% confidence interval -1.29 to 3.23) and lower incremental mean quality-adjusted life-years (-0.003, 95% confidence interval -0.009 to 0.002). The probability of the intervention being cost-effective was 7% at 2.5 years. However, in two subgroups, pilot trial schools and schools with higher proportions of pupils eligible for free school meals, there was an 84% and 60% chance of cost effectiveness, respectively, although their incremental costs and quality-adjusted life-years remained small and not statistically significant. The process evaluation revealed that the intervention was generally acceptable, although the implementation of text messages proved challenging. The COVID-19 pandemic hampered data collection. High rates of missing economic data mean findings should be interpreted with caution. Engagement with the intervention and evidence of 6-month change in toothbrushing behaviour was positive but did not translate into a reduction of caries. Future work should include work with secondary-school pupils to develop an understanding of the determinants of oral health behaviours, including toothbrushing and sugar consumption, particularly according to free school meal eligibility. This trial is registered as ISRCTN12139369. This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 15/166/08) and is published in full in Health Technology Assessment; Vol. 28, No. 52. See the NIHR Funding and Awards website for further award information.

Attitudes and Practice of Solid Waste Management among Residents of Federal Capital Territory Municipal Council, Nigeria

Background: Attitude is a major determinant of health behaviour. Proper management of solid waste at the household level can only be achieved by identifying the attitude of residents towards household solid waste management practices. Solid wastes (SW) are materials created from human activities that are no longer useful. They are disposable solid materials and might be hazardous to human well-being, e.g. plastics, wood, food, textiles, metals, glass, leather, sanitary waste, septic tank waste, etc. Aim: This study assessed the attitude of Abuja residents towards solid waste management practices in the Federal Capital Territory (FCT) Municipal Council. Method: A cross-sectional survey design was used for the study. The respondents for the study were adults from randomly selected households in the AMAC and Bwari suburbs of Abuja FCT. Data was collected from 197 respondents using a self-structured questionnaire (α=0.78). Data was analysed using SPSS version 25.0 Findings: The study showed that the residents of the FCT municipal agreed that organic and plastic materials are the most solid waste materials produced. There was a positive attitude towards waste collection through waste bins (mean value: 2.79, SD: 1.214) but a very poor attitude towards separation of solid wastes before final disposal (mean value: 1.45, SD: 0.939). Conclusion: Despite having a favourable attitude towards collecting their solid wastes in waste baskets (bins) and plastic bags and temporary storage of their solid waste before disposal, 47.2% of FCT residents still dump refuse along the roadside and have a very poor attitude towards separating solid wastes before final disposal. Keywords: Solid waste, Management practices, FCT Municipal council, Solid Waste Management

Experiences in Recruitment for Hispanic, Non-Hispanic Black, and Other Non-White Cancer Survivors Through Community Outreach and Other Targeted Approaches

ObjectivesRecruitment of racial/ethnic underserved populations in oncology research is essential to address health disparities. This article presents strategies and lessons learned from community outreach and other approaches for recruiting non-Hispanic Black, Hispanic, and other non-White survivors of cancer into a pilot study that investigated biopsychosocial determinants of health behaviors. MethodsWe critically examined the participant recruitment approaches to explore challenges and successful strategies and develop recommendations for future studies. Direct recruitment strategies included engaging with research staff members’ personal community contacts/liaisons and participating in community outreach events (eg, farmers’ markets, block parties, library events, cancer awareness events). Indirect recruitment strategies included posting and distribution of study flyers in community centers (eg, LIVESTRONG® at the YMCA, churches, libraries), online platforms (eg, FORCE, Survivor Journey website), and invitation letters sent to individuals identified as eligible through a single state cancer registry. ResultsBetween April 2022 and May 2023, among the 64 individuals recruited, 36 were non-Hispanic Black, 25 were Hispanic, and three were American Indian/Alaska Native people. The use of a state cancer registry (64.1%), snowballing/word of mouth (7.8%), and advertisement through an established cancer support organization (ie, FORCE) website (7.8%) were the most effective strategies in this study. ConclusionRecruitment of non-Hispanic Black, Hispanic, and other non-White people into biobehavioral studies through community-engaged research is challenging and requires long-term commitment and engagement with partners from target communities and affiliated organizations. Implication for Nursing PracticeRegistries and community outreach events can build trust for successful enrollment. Using multiple strategies can provide the best opportunities to reach diverse populations and enroll them in cancer-related research studies.

Toward Concurrent Identification of Human Activities with a Single Unifying Neural Network Classification: First Step.

The characterization of human behavior in real-world contexts is critical for developing a comprehensive model of human health. Recent technological advancements have enabled wearables and sensors to passively and unobtrusively record and presumably quantify human behavior. Better understanding human activities in unobtrusive and passive ways is an indispensable tool in understanding the relationship between behavioral determinants of health and diseases. Adult individuals (N = 60) emulated the behaviors of smoking, exercising, eating, and medication (pill) taking in a laboratory setting while equipped with smartwatches that captured accelerometer data. The collected data underwent expert annotation and was used to train a deep neural network integrating convolutional and long short-term memory architectures to effectively segment time series into discrete activities. An average macro-F1 score of at least 85.1 resulted from a rigorous leave-one-subject-out cross-validation procedure conducted across participants. The score indicates the method's high performance and potential for real-world applications, such as identifying health behaviors and informing strategies to influence health. Collectively, we demonstrated the potential of AI and its contributing role to healthcare during the early phases of diagnosis, prognosis, and/or intervention. From predictive analytics to personalized treatment plans, AI has the potential to assist healthcare professionals in making informed decisions, leading to more efficient and tailored patient care.

Walking trail access, exercise behavior, and going out-of-home among older adults: Examining longitudinal associations and mediators

AimAlthough the presence of a walking trail within a neighborhood would be an important environmental determinant of health behaviors, such as exercise and going out-of-home, their longitudinal associations and mediators are still unconfirmed. This study examined the longitudinal associations of walking trail access with exercise behavior and going out-of-home and mediating roles of awareness and use of walking trails on their associations among older adults. MethodsA four-wave questionnaire-based longitudinal survey was conducted among Japanese older adults (Wave 1: baseline; Wave 2: after one year; Wave 3: after three years; and Wave 4: after five years). Each survey measured weekly exercise time and frequency of going out-of-home. Wave 4 survey also measured awareness and use of walking trails. This study calculated distance to nearest walking trail using geographic information systems. This study analyzed the data from all waves (n = 834) for longitudinal associations and the data from Wave 4 (n = 567) for mediated associations. ResultsLatent growth modeling showed insignificant longitudinal associations of walking trail access with weekly exercise time and frequency of going out-of-home. The path analyses showed that a shorter distance to the walking trail was indirectly and significantly associated with longer weekly exercise time (standardized indirect effect=-0.03, p<.001) and a higher weekly frequency of going out-of-home (standardized indirect effect=-0.03, p<.001), mediated by awareness and use of walking trails. ConclusionsThese findings indicate that the influence of walking trail access on exercise behavior and going out-of-home would be attenuated by awareness and use of walking trails among older adults.

Family Support to Women During Pregnancy and Its Impact on Maternal and Fetal Outcomes.

Family support is one of the determinants of lifestyle habits and relevant health behavior for pregnancy outcomes. In India, the joint family system is still practiced. Due to education, urbanization, and industrialization, the family institution continues to play a central role in people's lives.Pregnancy is a crucial period in women's lives. Good care during pregnancy is important for the health of the mother and the newborn baby. During this period, hormonal changes are complex and involve multiple hormones working together to support the developing fetus and prepare the mother's body for labor, delivery, and breastfeeding. To avoid maternal and fetal complications, she needs support from her family throughout pregnancy and the postnatal period. This study aims to evaluate the influence of the level and quality of family support during pregnancy on maternal and fetal outcomes and to identify any association between the sociodemographic variables and the impact of the level and quality of family support during the first trimester. This study used a quantitative approach with a survey research design. Data were collected from four Primary Health Centers at Karad, Maharashtra, India, i.e., Rethare, Vadgaon, Kale, and Supane. A consecutive sampling technique was used to select the 344 subjects from the Rethare, Vadgaon, Kale, and Supane areas of Karad Taluka. Data were collected before the completion of the first three months of pregnancy, then during the second trimester and after delivery. Upon evaluation, the tool was validated by experts representing a range of specialties, including community health nursing, mental health nursing, obstetric gynecology, and pediatric care. A pilot study was conducted on 30 samples. The data collected were analyzed by using descriptive and inferential statistics. The findings of the study show a significant association between the psychosocial support received in the first trimester and the total gestational weeks completed at the time of delivery (p < 0.05). The study suggests the need for psychosocial support during the first trimester for better maternal and fetal outcomes. Psychosocial family support is needed by pregnant women during the first trimester to achieve maternal and fetal outcomes.

Use of systems thinking and adapted group model building methods to understand patterns of technology use among older adults with type 1 diabetes: a preliminary process evaluation

BackgroundA growing number of older adults (ages 65+) live with Type 1 diabetes. Simultaneously, technologies such as continuous glucose monitoring (CGM) have become standard of care. There is thus a need to understand better the complex dynamics that promote use of CGM (and other care innovations) over time in this age group. Our aim was to adapt methods from systems thinking, specifically a participatory approach to system dynamics modeling called group model building (GMB), to model the complex experiences that may underlie different trajectories of CGM use among this population. Herein, we report on the feasibility, strengths, and limitations of this methodology.MethodsWe conducted a series of GMB workshops and validation interviews to collect data in the form of questionnaires, diagrams, and recordings of group discussion. Data were integrated into a conceptual diagram of the “system” of factors associated with uptake and use of CGM over time. We evaluate the feasibility of each aspect of the study, including the teaching of systems thinking to older adult participants. We collected participant feedback on positive aspects of their experiences and areas for improvement.ResultsWe completed nine GMB workshops with older adults and their caregivers (N = 33). Each three-hour in-person workshop comprised: (1) questionnaires; (2) the GMB session, including both didactic components and structured activities; and (3) a brief focus group discussion. Within the GMB session, individual drawing activities proved to be the most challenging for participants, while group activities and discussion of relevant dynamics over time for illustrative (i.e., realistic but not real) patients yielded rich engagement and sufficient information for system diagramming. Study participants liked the opportunity to share experiences with peers, learning and enhancing their knowledge, peer support, age-specific discussions, the workshop pace and structure, and the systems thinking framework. Participants gave mixed feedback on the workshop duration.ConclusionsThe study demonstrates preliminary feasibility, acceptability, and the value of GMB for engaging older adults about key determinants of complex health behaviors over time. To our knowledge, few studies have extended participatory systems science methods to older adult stakeholders. Future studies may utilize this methodology to inform novel approaches for supporting health across the lifespan.

Social Determinants of Health and Psychological Capital Among Youth Experiencing Homelessness.

Social determinants of health affect health behaviors and outcomes. Youth experiencing homelessness suffer significant deprivation of resources such as inadequate housing, reduced education, poor health care, and decreased economic stability. Inner resources, such as psychological capital, may also be related to health behaviors and health outcomes. In this study, we sought to describe and explore associations among selected determinants of health and self-reported scores on indicators of psychological capital among youth experiencing homelessness. This cross-sectional secondary analysis was conducted with a randomized subsample of 148 youth. We calculated chi-square frequencies to describe the data, classical item analyses to evaluate responses, and correlation tests to examine significance of associations. Youth in this sample demonstrated that they possess inner resources associated with determinants of health. Education, health care, and social support were significantly associated with attributes of psychological capital (hope, efficacy, resilience, optimism). Sexual minority groups had high representation in this subsample (25.7%), indicating a need for more study and equitable services for this population. More research should be conducted to better understand the associations between determinants of health, psychological capital, and health behaviors among disadvantaged youth to advance health equity initiatives.

Ten years promoting health of young people in Bourgogne-Franche-Comté: A review of the Pass'Santé Jeunes program.

BackgroundPass’Santé Jeunes (PSJ), initiated in 2013, addresses high-risk behaviors among young people in Bourgogne-Franche-Comté, France. The program, supported by the Agence Régionale de Santé and Promotion Santé Bourgogne-Franche-Comté, combines digital resources with local partnerships to promote healthy choices among youth. ObjectivesThis article reviews the comprehensive health promotion approach of PSJ, aiming to identify key deployment strategies that could serve as a model for other regions or health promotion organizations. ResultsPSJ offers validated health resources through a website tailored to different age groups and includes content for parents. The program employs a robust digital marketing strategy, enhancing visibility and engagement through social media. Collaborations with regional athletes have significantly increased outreach, with website traffic growing from 1,000 to 31,000 monthly visitors and social media reach exceeding 450,000 in 2023. Over 20,000 professionals have been trained or sensitized, fostering a network of local actors dedicated to youth health. The program's participatory and community-led strategies effectively mobilize various life environments to support health promotion. ConclusionsPSJ exemplifies a successful regional health promotion model. Its comprehensive approach, integrating digital tools and local partnerships, addresses the complex determinants of youth health behaviors. Ongoing evaluation and adaptation are crucial to maintaining the program’s relevance and effectiveness. Future efforts should focus on bridging regional disparities, enhancing youth engagement, and ensuring long-term support for local actors to sustain health promotion activities.

The interaction between social determinants of health, health behaviors, and child's intellectual developmental diagnosis.

Social determinants of health (SDOH) may impact caregivers' ability to implement evidence-based health practices at home during early childhood, especially in families with children with intellectual and developmental disabilities (IDD). Therefore, we examined the influence of SDOH and children's diagnosis (typically developing [TD], Down syndrome [DS], autism) on caregiver's self-report of meeting evidence-based health practices. Caregivers (n=172) of children ages 2-6 years (TD: n=93, DS: n=40, autism: n=39) completed an online survey on SDOH and health practices related to child nutrition (CN), physical activity (PA), outdoor play (OP), and screen time (ST). A total SDOH score was computed by assigning 1 point for each favorable SDOH metric (range 0-13). Linear regressions were used to examine associations between SDOH and CN, PA, OP, ST health practices and the moderating effect of IDD diagnosis. Most caregivers were non-Hispanic White (84.3%), female (76.7%), 18-35 years old (55.2%), and married (89.5%). The DS group had the lowest SDOH score (mean = 8.4±1.0) compared to autism (mean = 10.1±1.0) and TD (mean = 11.0±0.9). No family scored 100% in evidence-based practices for any health practice. SDOH score was significantly associated with evidence-based practices met score for CN (b = 1.94, 95% CI = 0.84, 3.04; p = 0.001) and PA (b = 4.86, 95% CI = 2.92, 6.79; p <0.0001). Moderation analysis showed no association in the DS and autism groups between SDOH score and CN percent total score, or between SDOH score and CN, PA, and OP for percent evidence-based practices met. SDOH score was also not associated with OP percent total score for the DS group. This study highlights the differential influence of SDOH on caregivers' implementing health practices in families with children of different IDD diagnoses. Future research is needed to understand impacts of SDOH on non-typically developing children.

Loneliness and Crowded Living Predicted Poor Health in a Sample of Cancer Patients During COVID-19 Pandemic.

We investigated the influence of social determinants of health (SDOH), healthcare services, and health behaviors on mental and physical health outcomes of cancer patients between the first winter and the following post-vaccine summer of the COVID-19 pandemic. A three-wave online survey of individuals diagnosed with incident cancer between January 2019 and January 2020 was conducted between November of 2020 and August of 2021 in northeast Ohio. Descriptive analysis and mixed-effect regression analyses were performed. A total of 322 newly diagnosed cancer patients, with 40 African Americans and 282 Whites (215 from metropolitan areas and 67 nonmetropolitan) responded to the survey questions. In Wave 3 ending in August 2021, the survey respondents reported significantly reduced depression (p = .019) on the Hamilton Depression Rating Scale and improved global health (p = .036) on PROMIS. With age, comorbidity, and other demographic and medical variables controlled in the analyses, the feeling of loneliness (p < .001) and crowded living space (p = .001, p = .015) were the two most prominent factors associated with depression, irritability, and poor global health at baseline, with the lowest p values and persistent effect. Self-efficacy of taking preventive measures was associated with reduced depression (p = .001) and improved global health (p = .029). Increasing access to medicine (p < .01) and satisfaction with telehealth appointments (p < .01) were significantly associated with better global health and reduced irritability. Respondents who had private health insurance reported better health than those that had Medicare coverage only (p < .05). This longitudinal, observational study demonstrated the impact of SDOH on health outcomes of cancer patients. Substandard living conditions resulting in loneliness and crowdedness, quality of medical care (e.g., quality telehealth and access to medicine), and personal behaviors (e.g., self-efficacy) were significantly associated with health outcomes in newly diagnosed cancer patients during the pandemic and should be given adequate consideration for the purpose of improving clinical care.

Demographic and Socioeconomic Predictors of Prehypertension and Hypertension in the Adult Population: Serbian National Health Survey

Background and Objectives: Prehypertension and hypertension are the most common cardiovascular disorders worldwide and are increasingly considered one of the most serious public health problems, particularly in developing countries. The objective of this study was to determine the frequency and demographic and socioeconomic predictors of prehypertension and hypertension in the adults in Serbia, and to examine the relationship between prehypertension and hypertension and health behavior determinants (smoking, alcohol use, physical activity) and individual aspects of health (a health self-assessment, multimorbidity, BMI, depressive symptoms). Materials and Methods: The research is part of the fourth National Population Health Survey conducted in 2019, which was conducted by the Republic Institute of Statistics, in cooperation with the Institute of Public Health of Serbia and the Ministry of Health of the Republic of Serbia. As a research instrument, questionnaires were used in accordance with the methodology of the European Health Survey. For the purposes of this research, data on the adult population aged 20 and over were used. Results: Women are at a reduced risk for both prehypertension (OR = 0.328) and hypertension (OR = 0.349) by nearly 70%. Similarly, those aged below 60 years have a lower risk for prehypertension and those younger than 40 years have a lower risk for hypertension (OR = 0.995), whereas people with a lower education have a 4.3 times higher risk of prehypertension (OR = 4.323) and a 1.6 times higher risk of hypertension (OR = 1.614). The poor have a 1.4 times higher risk of prehypertension (OR = 1.413) and a 1 times higher risk of hypertension (OR = 1.035). People with multimorbidity have a 1.2 times higher risk of both prehypertension (OR = 1.218) and a 4.8 times higher risk of hypertension (OR = 4.867). Conclusions: Male gender, lower education, poverty, age and the presence of multimorbidity are significant predictors of prehypertension and hypertension in the Serbian adult population, so preventive strategies should be aimed at these sensitive population groups.

Pedagogical approaches to health-related physical education (PE) in the context of digitalisation – a scoping review

ABSTRACT Introduction There are varied consequences of digital transformation processes within the fitness and health-related living environments of adolescents (e.g. increased physical activity through wearables, body dissatisfaction through social media) which could potentially provide fruitful health-related learning experiences within different pedagogical approaches to health in PE (e.g. biomedical vs. alternative, Mong and Standal, 2019, “Didactics of Health in Physical Education – a Review of Literature.” Physical Education and Sport Pedagogy 24 (5): 506–518. https://doi.org/10.1080/17408989.2019.1631270). However, concerns have been raised that the integration of digital media into health-related PE could reinforce biomedical approaches to health and lead, for example, to a focus on increasing fitness through technology. This one-sided focus would not be in line with the demands for a comprehensive health education. This paper aims to map the current trend of pedagogical approaches to health-related PE in the context of digitalisation and to identify typical learning goals against this background. Methods We conducted a scoping review based on the framework of Tricco et al. (2018, “PRISMA Extension for Scoping Reviews: Checklist and Explanation.” Annals of Internal Medicine 169 (7): 467–473. https://doi.org/10.7326/M18-0850). We searched nine databases using a search term covering three topic areas: digitalisation, health, and physical education. Considering the publication years from 2013 to 2023, we selected papers in a three-step process (title-, abstract-, and full-text-screening). In total, we included 103 empirical and theoretical papers in the analysis using qualitative content analysis (Kuckartz, 2019, “Qualitative Text Analysis: A Systematic Approach.” In Compendium for Early Career Researchers in Mathematics Education, edited by G. Kaiser and N. Presmeg, 181–197. Cham: Springer). To map the pedagogical approach to health, we applied the following main deductive categories: conceptualisation of health, paradigmatic approach to health and envisaged learning goals. To analyse learning goals with regard to digitalisation, we used the distinction between learning with and about digital media as a focus of analysis. Results The scoping review shows that most of the papers discussed a broad conceptualisation of health for PE by addressing biopsychosocial aspects of health. Many of the implications for health- and digitalisation-associated learning goals related to pre-reflective and functional-reflective learning goals in the area of learning with digital media. They mainly focused, from a pathogenic viewpoint, on how digital media can increase health-enhancing physical activity, affective determinants of health behaviour and health-related knowledge. Parts of these learning goals have already been empirically investigated. Only a few papers proposed critical-reflective learning goals in the area of learning about digital media, aiming at a socio-emancipatory engagement with digital media, health and society. No empirical study within the scoping review investigated the effectiveness of such critical health- and digitalisation-related PE. Discussion and conclusion In light of the results, it is important that future genuine pedagogical research about health- and digitalisation-related PE increasingly focuses on the development and empirical evaluation of theoretically sound concepts for PE that are in line with the educational demands of comprehensive – thus also critical and salutogenic – health and digital education.

Path modeling of socioeconomic, behavioral, and environmental attributes of the Ebola epidemic in West Africa

The 2014 Ebola outbreak stands as one of the most severe outbreaks of the virus, resulting in approximately 15,227 confirmed cases and 11,310 deaths. Despite substantial research conducted on the biological and epidemiological features of the virus, limited attention has been given to how an individual&amp;rsquo;s health behavior contributes to its spread. This study aimed to identify socioeconomic, behavioral, and environmental factors associated with Ebola infection. Guided by the Socioecological Model of Health, a correlational analysis was conducted using data from three English-speaking West African countries with the highest Ebola caseloads and fatalities: Liberia, Nigeria, and Sierra Leone. Each country&amp;rsquo;s Ministry of Health compiled daily reports on Ebola infections, including confirmed cases and deaths within each district. Possible health behavior determinants were gathered from surveys conducted by each country with the assistance of credible international agencies. Path analysis was then conducted to identify the size and direction of direct and indirect effects associated with an Ebola infection. The results revealed that female unemployment men with some secondary education, availability of hand washing soap, female literacy, and total health expenditure significantly predict initial confirmed cases with an R2 of 0.41. Along with the predictors of initial confirmed cases, the main source of drinking water accounted for 59% (R2) of the variance in the latest confirmed deaths. Officials in high-prevalence countries are suggested to address the availability of soap for hand washing, male secondary education proportion, female literacy and unemployment, health expenditure, and main sources of drinking water to reduce the transmission of the Ebola virus.