Adolescent Obesity Modeling: A Framework of Socio-Economic Analysis on Public Health.
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SUBMITTER: Salarzadeh Jenatabadi H
PROVIDER: S-EPMC8392515 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Studies of adults and adolescents suggest subjective socio-economic status (SES) is associated with health/well-being even after adjustment for objective SES. In adolescence, objective SES may have weaker relationships with health/well-being than at other life stages; school-based social status may be of greater relevance. We investigated the associations which objective SES (residential deprivation and family affluence), subjective SES and three school-based subjective social status dimensions ("SSS-peer", "SSS-scholastic" and "SSS-sports") had with physical symptoms, psychological distress and anger among 2503 Scottish 13-15 year-olds. Associations between objective SES and health/well-being were weak and inconsistent. Lower subjective SES was associated with increased physical symptoms and psychological distress, lower SSS-peer with increased psychological distress but reduced anger, lower SSS-scholastic with increased physical symptoms, psychological distress and anger, and lower SSS-sports with increased physical symptoms and psychological distress. Associations did not differ by gender. Objective and subjective SES had weaker associations with health/well-being than did school-based SSS dimensions. These findings underline the importance of school-based SSS in adolescence, and the need for future studies to include a range of school-based SSS dimensions and several health/well-being measures. They also highlight the need for a focus on school-based social status among those working to promote adolescent health/well-being.
| S-EPMC4222198 | biostudies-literature
Project description:Objectives:The aim was to provide an affordable method of computing socio-economic (SE) deprivation indices at the regional level, in order to reveal the specific aspects of the relationship between SE inequalities and health outcomes. The Umbria Region Socio-Health Index (USHI) was computed and compared with the Italian National Deprivation Index at the Umbria regional level (NDI-U). Methods:The USHI was computed by applying factor analysis to census tract SE variables correlated with general mortality and validated through comparison with the NDI-U. Results:Overall mortality presented linear positive trends in USHI, while trends in NDI-U proved non-linear or non-significant. Similar results were obtained with regard to specific causes of death according to deprivation groups, gender and age. Conclusions:The USHI better describes a local population in terms of health-related SE status. Policy-makers could therefore adopt this method in order to obtain a better picture of SE-associated health conditions in regional populations and to target strategies for reducing health inequalities.
| S-EPMC6953449 | biostudies-literature
Project description:BackgroundAdolescent pregnancy and motherhood have been linked to several factors stemming from social, cultural and to a large extent economic issues. This study examined the socio-economic factors associated with adolescent pregnancy and motherhood in Ghana.DesignThis was a secondary analysis of the 2017 Ghana Maternal Health Survey, which was a nationally representative cross-sectional survey. Data from 4785 adolescents aged between 15-19 years were included in the analysis. Adolescent pregnancy was defined as adolescents who have ever been pregnant, whiles adolescent motherhood was defined as adolescents who have ever given birth. Weighted logistic regression was used to assess the association between the socio-economic variables and adolescent pregnancy and motherhood.ResultsOf the 25062 women aged between 15 and 49 years included in the 2017 maternal health survey, 4785 (19.1%) were adolescents between 15-19 years. Adolescent pregnancy was reported in 14.6% (CI:13.2% -16.1%) of the respondents, whereas 11.8% (CI: 10.5% -13.1%) of the respondents had ever given birth. In the multivariate regression analysis, zone (p<0.001), wealth index (p<0.001), age (p<0.001), marital status (p<0.001) and level of education (p<0.001) were all significantly associated with adolescent pregnancy and motherhood. The odds of pregnancy and motherhood were significantly higher in the Middle and Coastal zones (p<0.001), and among older adolescents (p<0.001). However, the odds of pregnancy and motherhood was significantly lower among adolescents from households with the highest wealth index (p<0.001), among those who were never married (p<0.001) and among adolescents who had secondary/higher education (p<0.001).ConclusionSeveral socio-economic variables including education, household wealth, marital status and zone of residence were significantly associated with adolescent pregnancy and adolescent motherhood. Sexual and reproductive health education should be intensified among these populations. Adolescent friendly corners should be made available and accessible to all adolescents in Ghana irrespective of where they live or their age.
| S-EPMC9803283 | biostudies-literature
Project description:Comparison of whole blood DNA methylation in 45 year-old humans with low and high childhood and adulthood socio-economic position Background: Disadvantaged socio-economic position (SEP) in childhood is associated with increased adult mortality and morbidity. We aimed to establish whether childhood SEP was associated with differential methylation of adult DNA. Methods: Forty adult males from the 1958 British Birth Cohort Study were selected from SEP extremes in both early childhood and mid-adulthood. We performed genome-wide methylation analysis on blood DNA taken at 45y using MeDIP (methylated DNA immunoprecipitation). We mapped in triplicate the methylation state of promoters of ~20,000 genes and 400 microRNAs. Probe methylation scores were averaged across triplicates and differential methylation between groups of individuals was determined. Differentially methylated promoter sites of selected genes were validated using pyrosequencing of bisulfite-converted DNA. Results: 9,112 variably methylated probes (from N=223,359 on the microarray) corresponded to 6,176 gene promoters with at least one variable probe. Unsupervised hierarchical clustering of probes obtained from the 500 most variable promoters revealed a cluster enriched with high SEP individuals confirming that SEP differences contribute to overall epigenetic variation. Methylation levels for 1252 gene promoters were associated with childhood SEP vs 545 promoters for adulthood SEP. Functionally, associations with childhood SEP appear in promoters of genes enriched in key cell signalling pathways. The differentially methylated promoters associated with SEP cluster in megabase-sized regions of the genome. Conclusions: Adult blood DNA methylation profiles show more associations with childhood SEP than adult SEP. Organization of these associations across the genome suggests a well-defined epigenetic pattern linked to early socio-economic environment.
2016-05-25 | GSE31713 | GEO
Project description:IntroductionRising obesity prevalence is a health priority for many governments because of its impact on population health and economic consequences. We sought to estimate the broader consequences of obesity in Canada by applying a government perspective framework that captures lost tax revenues and increased government spending on social benefit programs.MethodsAn age-specific prevalence-based model was built to quantify the fiscal burden of disease for government attributed to people living with obesity. The model was populated with age-specific wages, employment activity and government benefits received to estimate taxes and transfer costs. A targeted literature search was conducted to identify modifiers of employment status, wages and disability status attributed to people with obesity, and applied to employment and epidemiological projections which enabled us to estimate government costs and tax losses. Government tax revenue and costs attributed to obesity were projected over a 10-year period and discounted at 3%.ResultsThe fiscal burden of obesity in Canada is estimated at CAD$22,974 million (2021). This figure consists of obesity-attributed revenue losses of CAD$9404 million from direct taxes due to decreased employment activity and CAD$2374 million from indirect tax revenue losses due to reduced consumption taxes. Healthcare costs are estimated at CAD$7881 million annually and disability costs of CAD$3686 million annually. This fiscal burden of disease distributed amongst taxpayers in 2021 is estimated to be CAD$752 per capita. We estimate for every 1% reduction in obesity prevalence, CAD$229.7 million net fiscal gains can be achieved annually.ConclusionsObesity is associated with substantial clinical and economic burden not only to the healthcare system but also to wider government budgets as demonstrated using fiscal analysis. Reductions in obesity prevalence are likely to have positive fiscal gains for government from reduced spending on public benefits and increased tax revenue attributed to employment changes.
| S-EPMC10796418 | biostudies-literature
Project description:Aim: Subjective appraisals of socio-economic status (SES) are robustly associated with health outcomes, even when controlling for objective SES. Is this because objective SES is not accounted for in a sufficiently exhaustive way? Methods: I pool eight waves of nationally representative survey data from Germany (German General Social Survey, 2004-18, N=13,557) to assess the association between two separate subjective appraisals of SES (a 10-point scale and subjectively chosen social class membership) and poor self-rated health using logit and linear probability models. I account for an exhaustive range of objective SES variables, including respondents' household incomes and social status, as well as occupational status, social class and education of respondents and of their partners, fathers and mothers. Results: The association between subjective SES and poor self-rated health remains stable, even when accounting for a wide range of objective SES markers. This is true for both subjective SES measured on a 10-point scale and as a subjective class identification. Conclusions: Even when controlling for a large number of objective SES markers, subjective SES and self-rated health are linked, suggesting that subjective assessments of SES are meaningful measures of SES which form a distinct pathway to health.
| S-EPMC7605046 | biostudies-literature
Project description:BackgroundThe purpose of this review was to summarize the published literature on the association of childhood, adulthood and life course socio-economic status (SES) with obesity between January 1990 and June 2015.MethodsThe major medical electronic databases were searched to identify studies that examined SES over the life-course in relation to obesity. A total of 219 studies were identified through the initial search, and 35 qualified for full review. Of these, 14 publications met our inclusion criteria for the meta-analysis, all from developed or upper-middle income countries.ResultsThere was a consistent association between lower life course SES and obesity among women (summary OR: 1.35, 95% CI: 1.04, 1.76), but not among men (summary OR: 0.92, 95% CI: 0.60, 1.40). Overall, mean BMI was higher among individuals with lower life course SES compared with those with higher life course SES (summary mean BMI difference: 0.65, 95% CI: 0.59, 0.71). Mean waist circumference (WC) was higher among women with lower life course SES compared with those with higher life course SES (summary mean WC: 4.67, 95% CI: 4.15, 5.20), but lower among men (summary mean WC difference: -0.10, 95% CI: -0.11, -0.08).ConclusionThe inverse relationship between life course SES and obesity among women was consistent, based mostly on studies in developed countries. Nevertheless, critical information gaps remain in relation to the impact of childhood and life course SES on obesity in developing countries.
| S-EPMC5433719 | biostudies-literature
Project description:BackgroundCOVID-19 caused a worldwide outbreak leading the majority of human activities to a rough breakdown. Many stakeholders proposed multiple interventions to slow down the disease and number of papers were devoted to the understanding the pandemic, but to a less extend some were oriented socio-economic analysis. In this paper, a socio-economic analysis is proposed to investigate the early-age effect of socio-economic factors on COVID-19 spread.MethodsFifty-two countries were selected for this study. A cascade algorithm was developed to extract the R0 number and the day J*; these latter should decrease as the pandemic flattens. Subsequently, R0 and J* were modeled according to socio-economic factors using multilinear stepwise-regression.ResultsThe findings demonstrated that low values of days before lockdown should flatten the pandemic by reducing J*. Hopefully, DBLD is only parameter to be tuned in the short-term; the other socio-economic parameters cannot easily be handled as they are annually updated. Furthermore, it was highlighted that the elderly is also a major influencing factor especially because it is involved in the interactions terms in R0 model. Simulations proved that the health care system could improve the pandemic damping for low elderly. In contrast, above a given elderly, the reproduction number R0 cannot be reduced even for developed countries (showing high HCI values), meaning that the disease's severity cannot be smoothed regardless the performance of the corresponding health care system; non-pharmaceutical interventions are then expected to be more efficient than corrective measures.DiscussionThe relationship between the socio-economic factors and the pandemic parameters R0 and J* exhibits complex relations compared to the models that are proposed in the literature. The quadratic regression model proposed here has discriminated the most influencing parameters within the following approximated order, DLBL, HCI, Elderly, Tav, CO2, and WC as first order, interaction, and second order terms.ConclusionsThis modeling allowed the emergence of interaction terms that don't appear in similar studies; this led to emphasize more complex relationship between the infection spread and the socio-economic factors. Future works will focus on enriching the datasets and the optimization of the controlled parameters to short-term slowdown of similar pandemics.
| S-EPMC9421639 | biostudies-literature
Project description:ObjectiveThis study aimed to estimate the effects of the built, social, and economic environments on adolescent obesity and related behaviors.MethodsExploiting quasi-exogenous variation in military families' geographic location, this study estimated intent-to-treat models of the association between the assigned installation's county environments and adolescents' (mean age 13.5 years) self-reported and model-corrected BMI, overweight or obesity status, and self-reported diet and exercise. Three indices for the built, social, and economic environments characterized county-level environments (higher value implies more advantageous environments) based on 19 indicators. Multivariate linear and logistic models were estimated on the full sample (N = 1111) and on subsamples with greater exposure based on time (n = 682) and off-installation residence (n = 604).ResultsExposure to more advantageous built environments for more than 2 years was associated with lower probabilities of obesity (-0.18; 95% CI: -0.34 to -0.026) and overweight or obesity (-0.34; 95% CI: -0.56 to -0.12) and was associated with lower BMI z scores (-0.76; 95% CI: -1.45 to -0.02). Results for adolescents living off-installation were similar. More advantageous built environments were also associated with lower consumption of unhealthy foods, but not with physical activity. Social and economic environments were not associated with any outcomes.ConclusionsThe built environment, but not social and economic environments, was a strong predictor of adolescents' BMI, overweight or obesity status, and eating behaviors.
| S-EPMC10034597 | biostudies-literature
Project description:BackgroundThis study analysed the association between childhood socio-economic circumstances and the risk of dementia, and investigated the mediating role of potentially modifiable risk factors including adulthood socio-economic position and cardiovascular health.MethodsWe used a 10% sample of the 1950 Finnish population census linked with subsequent population and health registers (n = 95 381). Information of socio-economic characteristics, family structure and housing conditions at the age of 0-15 years was obtained from the 1950 census. We identified cohort members who developed dementia in 2000-2018 using national hospital, medication and death registers. Discrete time survival analysis using logistic regression and mediation analysis applying the Karlson-Holm-Breen (KHB) method were employed.ResultsAn excess risk of dementia was observed for household crowding [odds ratio (OR) = 1.10; 95% CI 1.02-1.18 for 3 to <4 persons per heated room; OR = 1.19; 95% CI 1.11-1.27 for ≥4 persons], single-father family (OR = 1.27; 95% CI 1.07-1.51) and eastern and northern region of residence (OR = 1.19; 95% CI 1.10-1.28). The effects of single-father family and region of residence were mostly direct with adulthood characteristics mediating 14% and 29% of the total effect, respectively. The largest indirect effect was observed for household crowding mediated through adulthood socio-economic position (47-65%).ConclusionsThe study shows that childhood socio-economic circumstances are associated with dementia, and that the underlying mechanisms only partly relate to adulthood socio-economic position and cardiovascular health. Socio-economic and health interventions targeted at families with children may carry long-term benefits by contributing to a lower dementia risk in later life.
| S-EPMC10114069 | biostudies-literature