Demographic factors effect stoke-related healthcare utilisation among Australian stroke survivors.

Health equity is a fast emerging priority for most healthcare systems around the world. Factors impacting health equity include education level, geographical location, age, gender, employment status and income. However, research examining the effect of these demographic variables on health service utilisation among mid-aged and older post-stroke adults is limited. Data was obtained from a sub-study of the Sax Institute's 45 and Up Study, which is conducted in Australia. The sub-study survey collected demographic, health service utilisation and health status information from 576 participants who had a previous stroke diagnosis. Poisson regression was used to examine the association between demographic characteristics and number of consultations with a doctor and/or an allied health practitioner over a 12 month period. All demographic measures were significantly associated with the number of consultations with doctors and/or allied health practitioners. The number of doctor consultations increased for those who struggled to live on their available income (IRR = 1.41), but decreased for females (IRR = 0.81), those who reside in an inner regional area (IRR = 0.83), those who were separated, divorced or widowed (IRR = 0.61), and for those who completed a trade, apprenticeship or diploma (IRR = 0.83). The number of allied health practitioner consultations increased for those who completed a trade, apprenticeship or diploma (IRR = 1.27), and for those who struggled to live on their available income (IRR = 1.38), but decreased for increasing age (IRR = 0.87), females (IRR = 0.78), and for those who reside in an outer regional or remote area (IRR = 0.49). We identified several demographic factors associated with a lower frequency and type of health care services used by post-stroke adults. These possible barriers need to be explored further, as reduced use of healthcare services may lead to poorer stroke outcomes in these demographics. Specifically, researching strategies to best support individuals facing these additional challenges is necessary to ensure equitable healthcare for all Australians.

Mapping domains of early life determinants of future multimorbidity across three UK longitudinal cohort studies.

Many studies use a reductionist approach to isolate the influence of one factor in childhood on multimorbidity rather than consider the combined effect of wider determinants. We explored how potential multiple early life determinants of multimorbidity can be characterised across three UK cohort studies. We used the National Child Development Study (NCDS), the 1970 British Cohort Study (BCS70), and the Aberdeen Children of the 1950s Study (ACONF) to identified early life variables that fit into 12 conceptualised domains of early life determinants of multimorbidity. Variables were assigned into 12 domains; principal component analysis reduced the dimensionality of the data and structured variables into subgroups. The data audit identified 7 domains in ACONF, 10 domains in NCDS and 12 domains in BCS70. Dominant components included maternal fertility histories within the prenatal, antenatal and birth domain, long-term illnesses within the child health domain, educational ability within the child education and health literacy domain, ethnicity within the demography domain, parental health behaviours within the transgenerational domain, housing within the socioeconomic domain and parental-child interactions within the parental-family domain. We demonstrated that if multiple large scale longitudinal studies are used, there is enough data available for researchers to consider conceptualising early life risk factors of multimorbidity across groups or domains. Such conceptualisation can help challenge the existing understanding of disease aetiology and develop new ideas for prevention of multimorbidity.

Household financial burden associated with out-of-pocket payments for healthcare in Iran: insights from a cross-sectional survey.

BACKGROUND: One of the key functions and ultimate goals of health systems is to provide financial protection for individuals when using health services. This study sought to evaluate the level of financial protection and its inequality among individuals covered by the Social Security Organization (SSO) health insurance between September and December 2023 in Iran. METHODS: We collected data on 1691 households in five provinces using multistage sampling to examine the prevalence of catastrophic healthcare expenditure (CHE) at four different thresholds (10%, 20%, 30%, and 40%) of the household's capacity to pay (CTP). Additionally, we explored the prevalence of impoverishment due to health costs and assessed socioeconomic-related inequality in OOP payments for healthcare using the concentration index and concentration curve. To measure equity in out-of-pocket (OOP) payments for healthcare, we utilized the Kakwani progressivity index (KPI). Furthermore, we employed multiple logistic regression to identify the main factors contributing to households experiencing CHE. FINDINGS: The study revealed that households in our sample allocated approximately 11% of their budgets to healthcare services. The prevalence of CHE at the thresholds of 10%, 20%, 30%, and 40% was found to be 47.1%, 30.1%, 20.1%, and 15.7%, respectively. Additionally, we observed that about 7.9% of the households experienced impoverishment due to health costs. Multiple logistic regression analysis indicated that the age of the head of the household, place of residence, socioeconomic status, utilization of dental services, utilization of medicine, and province of residence were the main factors influencing CHE. Furthermore, the study demonstrated that while wealthy households spend more money on healthcare, poorer households spend a larger proportion of their total income to healthcare costs. The KPI showed that households with lower total expenditures had higher OOP payments relative to their CTP. CONCLUSION: The study findings underscore the need for targeted interventions to improve financial protection in healthcare and mitigate inequalities among individuals covered by SSO. It is recommended that these interventions prioritize the expansion of coverage for dental services and medication expenses, particularly for lower socioeconomic status household.

Using Household Dietary Diversity Score and Spatial Analysis to Inform Food Governance in Chile.

This study explores how the Household Dietary Diversity Score (HDDS) and spatial visualization can inform food governance in Chile, focusing on socio-demographic and geographical determinants affecting food consumption patterns. A national household database (n = 4047), including households from 2019 (n = 3967; 98.02%) and 2020 (n = 80; 1.98%), provided by the "Family Support Program of Food Self-Sufficiency" (FSPFS) of the Ministry of Social Development and Family, was analyzed. The findings revealed that Chilean vulnerable households were led mostly by women (86.6%), with an age average of 55.9 ± 15.6 years old, versus 68.9 ± 12.9 years in the case of men. The intake frequency analysis showed that dairy, fruits, and vegetables were below the recommended values in at least half of the households, and that fats and sugars were above recommended levels. Regarding the HDDS (0-189), the national average was 91.4 ± 20.6 and was significantly influenced by the number of minors in the households, water access, food access issues, and residing in the Zona Sur. Finally, the spatial visualization showed that the Zona Central had higher consumption of fruits and vegetables, while the extreme zones Norte Grande and Zona Austral showed higher intakes of fats and sugars. These findings emphasize the importance of leveraging data insights like the HDDS and spatial visualization to enhance food security and inform food governance strategies.

The Happy Child Program's Intersectionality: Prenatal Home Visit Frequency, Food Insecurity Risk, Symptoms of Depression, and Parental Practices in Brazilian Women Assisted during Pregnancy.

Food insecurity (FI) is a critical issue in developing countries, particularly in low-resource settings, where it can worsen women's mental health. Psychosocial factors such as low household income, limited education, multiparity, and vulnerability are linked to depressive symptoms during pregnancy. Additionally, the family environment influences parental practices, which may impact mental health. This study evaluates the association of socioeconomic factors, parental practices, FI risk, and home visit frequency with depressive symptoms in pregnant women enrolled in the Happy Child Program (Programa Criança Feliz-PCF) in the Federal District, Brazil. In this cross-sectional study, 132 pregnant women monitored by PCF from May to July 2023 were assessed using a self-administered questionnaire for socioeconomic data, the two-item Triage for Food Insecurity (TRIA) instrument for FI risk, the Scale of Parental Beliefs and Early Childhood Care Practices, and the Beck Depression Inventory-II for depressive symptoms. Most participants were multiparous (87.9%), had low income (under 200 USD/month; 80.8%), presented depressive symptoms (67.4%) and were at risk of FI (81.8%). About half demonstrated adequate parental practices (50.8%) and received four home visits per month during pregnancy (54.5%). Women who received four PCF home visits had a lower prevalence of depressive symptoms compared to those with fewer visits (PR 0.76, 95% CI 0.59-0.98). No significant association was found between FI or parental practices and depressive symptoms. These findings suggest that the PCF home-visiting program may strengthen vulnerable families, support social networks, and improve mental health during pregnancy. Additionally, the results of this study highlight the need for targeted interventions aimed at reducing food insecurity and promoting mental health during pregnancy, particularly among socially vulnerable populations. Furthermore, they reinforce the importance of expanding access to home-visiting programs as an effective strategy to improve maternal mental health and well-being, while fostering healthier prenatal environments for both mothers and their children.

Digital Health Technology Use Across Socioeconomic Groups Prior to and During the COVID-19 Pandemic: Panel Study.

BACKGROUND: Digital technologies have become more important in the health care sector in the past decades. This transition from conventional to digital health care has been accelerated by the impact of the COVID-19 pandemic, which poses the risk of creating a "digital divide," inadvertently placing those who are older, economically disadvantaged, and have a lower level of education at a disadvantage. OBJECTIVE: This study focuses on the influence of socioeconomic factors on the adoption of digital health technology in the Frisian population and how this relation is affected by the COVID-19 pandemic. METHODS: In 2019 and 2020, a panel study was conducted on digital health in the Frisian population in the Netherlands. In the survey, the use of digital health technology was operationalized in a broad sense, going beyond the care context by also including preventative health-promoting solutions generally available on the consumer market, such as wearables and lifestyle apps. First, to assess the influence of socioeconomic factors on the total use of digital health apps, a generalized linear model was fitted with use of digital health app as the dependent variable and socioeconomic factors as between-subject factors on the 2019 data. Second, to analyze whether the use of separate health apps increased from 2019 to 2020, we conducted chi-square tests on different digital health app types. Third, to examine the influence of COVID-19 on the use of digital health apps, a generalized linear mixed model was fitted with the use of digital health apps as the dependent variable, COVID-19 as the within-subject variable, and socioeconomic factors as between-subject factors. RESULTS: The results indicated that prior to the COVID-19 pandemic, digital health technology use was higher in women, younger people, and those who are well educated and economically more privileged. Moreover, the percentage of people who reported using digital health technology rose from 70% (1580/2258) to 82.5% (1812/2197) due to the COVID-19 pandemic. This increase was significant for all separate types of digital health technology (all P<.001). In addition, we found the interaction effects of COVID-19 with age and education attainment, indicating that the lower total use among older people and people with lower education attainment became slightly less apparent from 2019 to 2020. CONCLUSIONS: These findings on the influence of the COVID-19 pandemic on the digital divide indicated that the use of all types of digital health apps increased and that older individuals and people with a lower level of education caught up a little during COVID-19. Future research should gain more insight into this effect and examine whether it persists beyond the COVID-19 pandemic. Additionally, future endeavors should focus on vulnerable groups, ensuring they receive adequate attention to guarantee access to health care, preventative health-promoting solutions, and social services.

Transactional sex in humanitarian settings: A comparative analysis of livelihood and demographic predictors.

Millions of people have been displaced within or outside their countries. Disruptions associated with displacement often lead to transactional sex with dire social, sexual and reproductive health implications. A common driver of transactional sex is food insecurity among refugees and internally displaced persons (IDPs), yet IDP/refugee settings offer an opportunity for females to challenge and renegotiate gender norms and exercise greater control over their lives and sexuality. We compared predictors of transactional sex across humanitarian settings and found them to be significantly different. Among IDPs, the likelihood of transactional sex reduces with having access to food ration and education, but increases with having 'other sources' of income. Among refugees, transactional sex likelihood reduces with having either/both parent(s) alive but increases with working for money. Hence, multiple factors drive transactional sex in different contexts. Protecting women in humanitarian situations from the risks of transactional sex requires an understanding of these differences.

Des millions de personnes ont été déplacées à l'intérieur ou à l'extérieur de leur pays. Les perturbations associées au déplacement conduisent souvent à des relations sexuelles transactionnelles avec des conséquences désastreuses sur la santé sociale, sexuelle et reproductive. L'insécurité alimentaire parmi les réfugiés et les personnes déplacées à l'intérieur de leur propre pays (PDI) est un facteur courant du sexe transactionnel. Pourtant, les contextes de PDI/réfugiés offrent aux femmes la possibilité de remettre en question et de renégocier les normes de genre et d'exercer un plus grand contrôle sur leur vie et leur sexualité. Nous avons comparé les prédicteurs du sexe transactionnel dans différents contextes humanitaires et nous avons constaté qu'ils étaient significativement différents. Parmi les personnes déplacées, la probabilité de relations sexuelles transactionnelles diminue avec l'accès à la ration alimentaire et à l'éducation, mais augmente avec « d'autres sources ¼ de revenus. Parmi les réfugiés, la probabilité de relations sexuelles transactionnelles diminue lorsque l'un ou les deux parents sont en vie, mais augmente lorsque l'on travaille pour de l'argent. Par conséquent, de multiples facteurs déterminent le sexe transactionnel dans différents contextes. Protéger les femmes dans les situations humanitaires contre les risques liés aux relations sexuelles transactionnelles nécessite une compréhension de ces différences..

[Association between pain and depression in chilean older adults. Reality that requires an immediate approach]. / Asociación entre dolor y depresión en adultos mayores chilenos. Realidad que requiere abordaje inmediato.

ABASTRACT Background: To study the association between pain and depression, its characteristics and related factors in chilean older adults. METHODS: Cross-sectional analytical study of the National Survey of Dependence in Chilean older adults 2009, with a sample of 4766 people aged 60 years and older. Pain was described using a Likert scale from "no pain" to "very much pain". Depression was measured using the GDS-15 scale. Adjusted logistic regression analyses were performed to identify the association between pain and depression. RESULTS: 70% of the sample reported pain, 21.6% of high intensity. The screening was positive for depression in 23% of the sample, and 5% suspected severe depression. Both conditions were more frequent in women, subjects with low levels of schooling and rural residence. There was an association between pain and depression OR 3.46. The greater the intensity of pain, the greater the association OR 5.2 (95% CI 4.1-6.7) for depressive symptoms and OR 13.9 for suspected severe depression (95% CI 8.1-23.9). CONCLUSION: The association between pain and depression is high and is related to pain intensity, being higher in people with less education and physical dependency. The high frequency of both conditions in Chilean elderly people and their serious consequences make it an urgent public health problem, aggravated as a consequence of the prolonged isolation due to the COVID-19 pandemic.

Dataset: a social accounting matrix for Germany.

OBJECTIVES: The Social Accounting Matrix (SAM) is an extension of Input-Output tables that records macro and meso-economic accounts of a socio-economic system. Its main objective is to provide a comprehensive understanding of the interrelationships among different economic sectors and agents. The SAM can be used for various purposes, including economic analysis, policy evaluation, and economic modelling. It allows policymakers to make more informed decisions, understand potential consequences of different policy options and serve as the foundation for constructing Computable General Equilibrium (CGE) models. DATA DESCRIPTION: The SAM for Germany is a comprehensive source of data that reveals the incomes and expenditures of 163 different production sectors, along with data on factors of production, households, corporations, government, and external accounts with the rest of the world. Additionally, it provides information on gross fixed capital formation, changes in inventories, and natural capital accounts. This SAM was compiled by extending the EXIOBASE Input-Output (IO) accounts with data from the Federal Statistical Office of Germany. Balancing items were also used to ensure that the Total Income and Total Expenditure of the main transactors are in balance.

Geographical characteristics and influencing factors of the health level of older adults in the Yangtze River Economic Belt, China, from 2010 to 2020.

The health of older adults is crucial for the overall health of the entire life cycle. Based on population sampling survey data and census data from 131 prefecture level units in the Yangtze River Economic Belt (YREB) during 2010-2020, this study used exploratory spatial data analysis, geographical detector, stepwise regression analysis, and GTWR model to analyze the spatiotemporal pattern and influencing factors of the health level of older adults in the YREB. The results show that the health level of older adults in the YREB slightly increased from 2010 to 2020, with the most significant improvement in the upstream region and the most significant decline in the midstream region. The older adults' health level in the YREB displays a gradient decreasing pattern of the downstream, midstream, and upstream regions. The health level of older adults in the YREB is influenced by a combination of natural and social environment factors. Areas with lower altitude and moderate humidity climates are more conducive to the health of older adults. The increase in influencing factors such as population migration rate, per capita GDP, average years of education, per capita housing construction area, per capita park green area, and green coverage rate in built-up areas is conducive to improving the health level of older adults, while lower number of health institutions per 1,000 people and higher household support rate are not conducive to improving the health level of older adults. In addition, over time, the health-promoting effect of natural environmental factors is enhanced from 2010 to 2020, and the influence of annual precipitation on shaping the spatial pattern of older adults' health level became more obvious. Although the promoting effect of population migration on the health level of older adults tends to weaken, it remains the primary factor affecting the spatiotemporal differentiation of older adults' health level in the YREB. The impact of social development on the health level of older adults has changed from a positive health effect (improvement) to a negative health effect (loss). The health-promoting effect of living environment factors is enhanced. The health-inhibitory effect of household support rate increased, and showed a gradient decreasing pattern from downstream to midstream to upstream. The findings of this study can provide a more in-depth understanding of the spatiotemporal pattern of the health level of older adults in the YREB and the factors influencing it, improve the health level of older adults in the region, and promote the development of healthy and active aging in the YREB, and improve the human health. At the same time, this study also supplements the related research on aging and the health level of the elderly. Firstly, it can provide reference for the research on the health of old adults in other countries and regions around the world. Secondly, it can also provide a basis for research on aging and the health of old adults in cities and counties under YREB.

Psychological capital and social class: A capital approach to understanding positive psychological states and their role in explaining social inequalities.

Psychological capital (PsyCap) is a multidimensional concept entailing hope, self-efficacy, optimism, and resilience. This paper argues that it can be considered a form of "capital" explaining social inequality. We test whether PsyCap can be integrated into the Bourdieusian capital framework by assessing its relationship with social, economic, and cultural capital. We also identify different types of social positions based on the volume and composition of psychological, economic, cultural, and social capital. We use cross-sectional data from the European Social Survey of 2012 (N = 35,313 respondents; 29 countries). To test the associations with the Bourdieusian capital types, we calculated multilevel spearman rank correlations and performed confirmatory factor analyses (CFA). Latent Class Analysis identified different types of social positions. We found positive weak correlations between PsyCap and the indicators of cultural capital (r ≤ .14) and positive moderate correlations with the indicators of economic and social capital (r ≤ .24). The results of the CFA showed that the fit of the 4-capital model was superior to that of the 3-capital model. We identified six types of social positions: two deprived types (with overall low capital levels); two well-off types (with overall high capital levels) and two types with high psychological and social capital in combination with varying levels of cultural and economic capital. Including PsyCap in the Bourdieusian capital framework acknowledges the power of positive psychological states regarding processes of social mobility and social inequality on the one hand and calls for understanding PsyCap as a social and group-level phenomenon on the other hand. As such, integrating PsyCap into the Bourdieusian framework can help to address the longstanding issue of understanding the relationship between social and individual differences in the study of social inequalities.

Determinants of exclusive breastfeeding among infants under six months in Nepal: multilevel analysis of nationally representative household survey data.

BACKGROUND: The benefits of exclusive breastfeeding (EBF) have been universally documented, with evidence of positive impacts on a child's optimal growth, development, and survival. However, EBF practices in Nepal have fluctuated and declined over the last 25 years. In addition to the individual factors of mothers and infants, EBF practices are affected by multiple community-level factors. Understanding these factors is essential for designing breastfeeding promotion programs to improve child nutritional status in Nepal. This study investigated the individual- and community-level determinants of EBF practices among young infants aged 0-5 months in Nepal. METHOD: We used the dataset from the Nepal Demographic and Health Survey 2022. Information on EBF in the past 24 h was available for 540 infants aged 0-5 months. A multilevel mixed-effect logistic regression was used to identify individual- and community-level factors associated with EBF among infants aged 0-5 months in Nepal. RESULTS: The 24-hour prevalence of EBF among infants aged 0-5 months was 57.46% (95% confidence interval (CI): 52.18, 62.57). The infant's age was inversely associated with EBF prevalence at the individual level. Compared with infants aged < 1 month, infants aged three months (adjusted odds ratio (AOR): 0.14, 95% CI: 0.05, 0.40), four months (AOR: 0.11, 95% CI: 0.04, 0.28), and five months (AOR: 0.07, 95% CI: 0.03, 0.20) were less likely to receive EBF. At the community level, community-level variables such as ≥ 4 ANC visits coverage, maternal employment status, and poverty level were generated by aggregating the individual characteristics in a cluster and were categorized using quartiles into low ("< 25%"), moderate (25-75%), and high (≥ 75%). Mothers from communities with moderate ≥ 4 ANC visits (AOR: 3.30, 95% CI: 1.65, 6.57) and high ≥ 4 ANC visits (AOR: 2.70, 95% CI: 1.40, 5.22) coverage had higher odds of EBF practices than did those from communities with low ≥ 4 ANC visits coverage. Similarly, communities with moderate (AOR: 2.67, 95% CI: 1.34, 5.30) and high (AOR: 2.34, 95% CI: 1.10, 4.99) levels of maternal employment status and moderate levels of poverty (AOR: 2.20, 95% CI: 1.13, 4.28) were associated with a higher likelihood of EBF practices. Subnational level variation was evident, with infants in Lumbini province having lower odds of EBF (AOR: 0.32, 95% CI: 0.13, 0.77) relative to Koshi province. Approximately 9% of the variation in EBF practices was observed among mothers while mapping across clusters in this study. CONCLUSION: Various individual- and community-level factors influence the uptake of EBF in Nepal, underscoring the need to improve the approaches and strategies of EBF programs. This study highlighted the significant association of community-level factors (≥ 4 ANC visits coverage, poverty level, and maternal employment status) with EBF among infants under 6 months. It revealed approximately 9% variability in EBF across clusters. Future efforts to promote EBF should focus on older infants and communities with low poverty levels and low coverage of recommended ≥ 4 ANC visits. Furthermore, context-specific adaptation of such efforts might be required considering the variation observed between the communities in the present study.

A comparative systematic review of risk factors, prevalence, and challenges contributing to non-communicable diseases in South Asia, Africa, and Caribbeans.

BACKGROUND: Non-communicable diseases (NCDs) are a global epidemic challenging global public health authorities while imposing a heavy burden on healthcare systems and economies. AIM: To explore and compare the prevalence of NCDs in South Asia, the Caribbean, and non-sub-Saharan Africa, aiming to identify both commonalities and differences contributing to the NCD epidemic in these areas while investigating potential recommendations addressing the NCD epidemic. METHOD: A comprehensive search of relevant literature was carried out to identify and appraise published articles systematically using the Cochrane Library, Ovid, Google Scholar, PubMed, Science Direct, and Web of Science search engines between 2010 and 2023. A total of 50 articles fell within the inclusion criteria. RESULTS: Numerous geographical variables, such as lifestyle factors, socio-economic issues, social awareness, and the calibre of the local healthcare system, influence both the prevalence and treatment of NCDs. The NCDs contributors in the Caribbean include physical inactivity, poor fruit and vegetable intake, a sedentary lifestyle, and smoking, among others. While for South Asia, these were: insufficient societal awareness of NCDs, poverty, urbanization, industrialization, and inadequate regulation implementation in South Asia. Malnutrition, inactivity, alcohol misuse, lack of medical care, and low budgets are responsible for increasing NCD cases in Africa. CONCLUSION: Premature mortality from NCDs can be avoided using efficient treatments that reduce risk factor exposure for individuals and populations. Proper planning, implementation, monitoring, training, and research on risk factors and challenges of NCDs would significantly combat the situation in these regions.

Disparities in adherence to physical activity guidelines among US adults: A population-based study.

The objective of this study was to determine adherence to national guidelines for aerobic and muscle-strengthening physical activity among United States (US) adults and identify factors associated with guideline nonadherence. The 2022 National Health Interview Survey data were analyzed to evaluate self-reported physical activity among 26,494 US adults. Adherence to national guidelines was defined as engaging in ≥150 minutes moderate-intensity or ≥75 minutes vigorous-intensity aerobic activity/week, and muscle-strengthening activity ≥2 days/week. A multivariable logistic regression model evaluated associations between 24 sociodemographic and health variables with nonadherence to physical activity guidelines. Shapley Additive Explanations were used to assess the relative importance of each factor in the model. The population-weighted analysis revealed that only 24.3% of US adults met both the aerobic and muscle-strengthening activity guidelines. The regression model identified 17 factors significantly associated with nonadherence. When evaluating the relative importance of these variables, older age, lower educational attainment, and lower household income emerged as the primary determinants of nonadherence. Guideline adherence was lowest among subgroups with multiple risk factors, with only 6.5% of older adults with lower income and education meeting the guidelines. In contrast, adherence was 42.7% in younger respondents with higher incomes and educational attainment. In conclusion, physical activity rates among US adults remain below public health targets, with significant disparities among sociodemographic groups. Expanded outreach efforts targeting higher-risk populations are urgently needed to address barriers, promote physical activity engagement, and achieve health equity.

Depression, anxiety, and stress among vocational college students during the initial stage of post-epidemic era: A cross-sectional study.

The purpose of this study was to assess the prevalence and sociodemographic determinants of depression, anxiety, and stress among vocational college students. 1255 students participated in the cross-sectional study. The Chinese version of the 21-item the Depression Anxiety Stress Scales (DASS-21) was used. Depression was reported in 37.6% of vocational college students, anxiety in 51.6%, and stress in 38.1%. Logistic regression results showed that a higher degree of depression, anxiety, and stress was associated with female, poor and moderate self-rated health status, from other provinces, poor self-rated family financial status and living off campus (P < .05). Junior and from one-parent or parentless family were more likely to experience depression and stress (P < .05). Additionally, the likelihood of having depression was higher in non-only-child students (P < .01) and rural family location was a risk factor for stress (P < .001). A higher prevalence of depression, anxiety, and stress was found in vocational college students. Timely and targeted psychological interventions should be taken.

Neurodevelopmental imprints of sociomarkers in adolescent brain connectomes.

Neural consequences of social disparities are not yet rigorously investigated. How socioeconomic conditions influence children's connectome development remains unknown. This paper endeavors to gauge how precisely the connectome structure of the brain can predict an individual's social environment, thereby inversely assessing how social influences are engraved in the neural development of the Adolescent brain. Utilizing Adolescent Brain and Cognition Development (ABCD) data (9099 children residing in the United States), we found that social conditions both at the household and neighborhood levels are significantly associated with specific neural connections. Solely with brain connectome data, we train a linear support vector machine (SVM) to predict socio-economic conditions of those adolescents. The classification performance generally improves when the thresholds of the advantageous and disadvantageous environments compartmentalize the extreme cases. Among the tested thresholds, the 20th and 80th percentile thresholds using the dual combination of household income and neighborhood education yielded the highest Area Under the Precision-Recall Curve (AUPRC) of 0.8224. We identified 8 significant connections that critically contribute to predicting social environments in the parietal lobe and frontal lobe. Insights into social factors that contribute to early brain connectome development is critical to mitigate the disadvantages of children growing up in unfavorable neighborhoods.

Earth observation data uncover green spaces' role in mental health.

The prevalence of mental health disorders, a key disability cause, is linked to demographic and socioeconomic factors. However, limited data exists on mental health and the urban environment. Urbanization exposes populations to environmental stressors, particularly affecting low-middle-income countries with complex urban arrangements. We used remote sensing and census data to investigate potential connections between environmental factors and mental health disorders. Land cover variables were assessed using the European Space Agency (ESA) global WorldCover product at 10 m resolution together with the database of mental health diagnosed cases (n = 5769) from the Brazilian Unified Health System's Department of Informatics (DATASUS) from every health facility of the city of Porto Alegre. The association of mental health data with land cover was established with machine learning algorithms and polynomial regression models. The results suggest that higher trees cover at neighborhood level was associated with better mental health index. A lower mental health index was also found to be associated with an higher Human Development Index. Our results highlight the potential of greenness in the city environment to achieve substantially better mental health outcomes.

Individual, social and area level factors associated with older people's walking: Analysis of an UK household panel study (Understanding Society).

BACKGROUND: Among older people, walking is a popular and prevalent activity. Walking is key to increasing physical activity levels and resulting physical and mental health. In the context of rapidly ageing populations, it is important to better understand what factors are associated with walking among older people, based on the socioecological model of health. METHODS: We used data from Understanding Society (n:6450), a national panel survey of UK adults aged 65 years and over living in Great Britain. Slope Indices of Inequality (SII) were calculated for weekly walking hours for older people according to individual, social and area characteristics. These include health, loneliness and social isolation, previous walking and sporting activity, residential self-selection, contact with neighbours, number of close friends and social activity. Spatial area-level data described local area crime, walkability, and proximity to retail, greenspace, and public transport amenities. RESULTS: Multivariable models indicated that poor health, particularly requiring help with walking, was the strongest predictor of weekly walking hours (SII (95% CI) comparing those needing help vs. no help: -3.58 (-4.30, -2.87)). However, both prior sporting activity (most vs. least active: 2.30 (1.75, 2.88)) and walking for pleasure (yes vs. no: 1.92 (1.32, 2.53)) were strongly associated with increased walking several years later. Similarly having close friends (most vs. fewest, 1.18 (0.72, 1.77)) and local retail destinations (any vs. none: 0.93 (0.00, 1.86)) were associated with more weekly walking. CONCLUSIONS: Past engagement in physical activity and walking for pleasure are strong predictors of walking behaviour in older people, underscoring the importance of implementing and sustaining walking interventions across the lifespan to ensure continued engagement in later years and the associated health benefits. However, poor health significantly impedes walking in this demographic, emphasising the need for interventions that offer both physical assistance and social support to promote this activity.

Prenatal environment is associated with the pace of cortical network development over the first three years of life.

Environmental influences on brain structure and function during early development have been well-characterized, but whether early environments are associated with the pace of brain development is not clear. In pre-registered analyses, we use flexible non-linear models to test the theory that prenatal disadvantage is associated with differences in trajectories of intrinsic brain network development from birth to three years (n = 261). Prenatal disadvantage was assessed using a latent factor of socioeconomic disadvantage that included measures of mother's income-to-needs ratio, educational attainment, area deprivation index, insurance status, and nutrition. We find that prenatal disadvantage is associated with developmental increases in cortical network segregation, with neonates and toddlers with greater exposure to prenatal disadvantage showing a steeper increase in cortical network segregation with age, consistent with accelerated network development. Associations between prenatal disadvantage and cortical network segregation occur at the local scale and conform to a sensorimotor-association hierarchy of cortical organization. Disadvantage-associated differences in cortical network segregation are associated with language abilities at two years, such that lower segregation is associated with improved language abilities. These results shed light on associations between the early environment and trajectories of cortical development.

Ideal body image and socioeconomic factors: exploring the perceptions of Kenyan women.

BACKGROUND: Non-communicable diseases are an increasing threat in sub-Saharan Africa (SSA), and overweight and obesity are affecting people across all socioeconomic groups. Some studies suggest that big body sizes may be perceived as desirable among women in SSA and that high prevalence of obesity and overweight are especially present in low socioeconomic societies. This study explores the role of socioeconomic factors in the perception of the ideal body among Kenyan women and whether perceptions and beliefs about the ideal body should be considered relevant when targeting the prevention of obesity and overweight. METHOD: In-depth interviews were conducted with 8 Kenyan women with varying educational backgrounds, aged between 21 and 48, using a qualitative study design. The interviews were conducted in December 2022 and January 2023 in Nairobi, audio-recorded, transcribed and analysed through qualitative content analysis and a coding system using deductive and inductive codes. RESULTS: The participants reported that conclusions about a person's health and wealth status are drawn based on different body sizes. Furthermore, traditional views about the ideal body size, societal pressure, as well as the women's own experience with their body size play a role in the perception of an ideal body. CONCLUSION: Small-sized women desire to gain weight as society may view them as weak and sick. Big-sized women aim to reduce weight primarily due to health complications. Nevertheless, traditionally, a big-sized woman is considered strong and wealthy, creating external pressure on women to fulfil this body image-these findings emphasise traditional aspects in designing culturally sensitive prevention and intervention methods to address overweight and obesity.