Socioeconomic Inequalities In Obesity Research Articles

Weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity: a qualitative systematic review protocol.

The objective of this review is to synthesize the best available qualitative evidence on the weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity. Additionally, the review aims to deepen our understanding of the common narratives of obesity according to these people. People living with poor socioeconomic circumstances are at increased risk of obesity, particularly in high-income countries, and their weight management practices (eg, weight-related behaviors) tend to be less healthy. Since prior research on socioeconomic inequalities in obesity is mostly from quantitative studies, the individual views and experiences related to weight management have been largely ignored. Thus, systematic qualitative evidence is needed on the weight management practices, views, and experiences of adults living with poor socioeconomic circumstances and obesity. Qualitative studies examining adults (aged 18 to 74 years) living with poor socioeconomic circumstances and obesity, and conducted in high- and upper-middle-income countries will be considered. The phenomenon of interest is these people's weight management practices, views, and experiences. Searches will be conducted in MEDLINE (Ovid), APA PsycINFO (Ovid), CINAHL (EBSCOhost), Scopus, Web of Science, and the Finnish health sciences database, MEDIC, restricted to the English and Finnish languages. Sources of unpublished studies and gray literature will include Google Scholar and ProQuest Dissertations and Theses. Two independent reviewers will screen the papers, assess methodological quality, and extract data following JBI's procedures. The meta-aggregative approach will be used for data synthesis. Confidence in the findings will be assessed using the ConQual approach. PROSPERO CRD42023407938.

The moderating effects of greenspace on the association between neighbourhood disadvantage and obesity among mid-to-older aged Australian adults

This study examined whether the association between neighbourhood disadvantage and obesity was moderated by quantity and quality of greenspace. The sample included 2848 mid-to-older aged adults residing in 200 neighbourhoods in Brisbane, Australia from the HABITAT study. Self-reported height and weight were used to calculate body mass index (BMI), neighbourhood disadvantage was measured using a census-derived composite index and greenspace was measured geospatially. We found evidence of moderation by park quality: lower average BMI at higher levels of park quality was shown in the Q3 rather than the Q1 (least disadvantaged) neighbourhood disadvantage group. The findings suggest that, for reducing socioeconomic inequalities in obesity, the quality of greenspace is imperative.

The Contribution of the Underlying Factors to Socioeconomic Inequalities in Obesity: A Life Course Perspective.

Objectives: Socioeconomic disparities in obesity have been observed in both childhood and adulthood. However, it remains unclear how the role of risk factors influencing these inequalities has evolved over time. Methods: Longitudinal data on 2,866 children and adolescents (6-17years old) from the China Health and Nutrition Survey were used to track their BMI during childhood, adolescence, and adulthood. Concentration Index was utilized to measure socioeconomic inequalities in obesity, while Oaxaca decomposition was employed to determine the share of different determinants of inequality. Results: The concentration index for obesity during childhood and adulthood were 0.107 (95% CI: 0.023, 0.211) and 0.279 (95% CI: 0.203, 0.355), respectively. Changes in baseline BMI (24.6%), parental BMI (10.4%) and socioeconomic factors (6.7%) were found to be largely responsible for the increasing inequality in obesity between childhood and adulthood. Additionally, mother's education (-7.4%) was found to contribute the most to reducing these inequalities. Conclusion: Inequalities in obesity during childhood and adulthood are significant and growing. Interventions targeting individuals with higher BMI, especially those who are wealthy, can significantly reduce the gap.

Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020.

This study investigated recent trends in the prevalence of obesity among Korean adolescents and explored socioeconomic disparities in obesity. This study used annual self-reported data on height, weight, and socioeconomic information from the Korea Youth Risk Behavior Web-based Survey from 2006 to 2020. With a 95.8% response rate, the sample consisted of 818,210 adolescents. Obesity prevalence was calculated according to 4 socioeconomic indicators (household income, father's educational attainment, mother's educational attainment, and urbanicity). Socioeconomic inequality was quantified using the relative index of inequality (RII). The overall prevalence of obesity increased, doubling from 5.9% in 2006 to 11.7% in 2020. Boys and high school students showed a higher prevalence. The RIIs in household income and parental educational attainments significantly increased with time, indicating a growing inequality in obesity. Socioeconomic disadvantages had a greater influence on obesity among girls. The most recent RII values for boys were 1.25 for income, 1.79 for the father's education, and 1.45 for the mother's education, whereas the corresponding values for girls were 2.49, 3.17, and 2.62, respectively. These findings highlight growing inequalities in adolescent obesity according to household income and parental educational attainments, especially for girls and middle schoolers.

Trends and Regional Variation in Prevalence of Cardiovascular Risk Factors and Association With Socioeconomic Status in Canada, 2005-2016

Cardiovascular disease remains the second leading cause of death in Canada. Monitoring and tracking the trends and disparities in major cardiovascular risk factors could provide benchmarks for future cardiovascular health strategies. To investigate the temporal trends, regional variations, and socioeconomic disparities in major cardiovascular risk factors in Canada from 2005 to 2016. This repeated cross-sectional survey study included adults aged 20 years and older from 6 Canadian Community Health Survey cycles between 2005 and 2016. Cardiovascular risk factors included hypertension, diabetes, obesity, and current smoking. Socioeconomic status was measured using equivalized household income. Data analysis was performed from September 2019 to April 2020. A total of 112 health regions and socioeconomic status. Age- and sex-adjusted prevalence of hypertension, diabetes, obesity, and current smoking by year; health regions; and socioeconomic status. Absolute numbers were rounded to base 100 for confidentiality purposes, and percentages were based on weighted numbers. Slope index of inequality (SII) and relative index of inequality (RII) were calculated to assess absolute and relative socioeconomic inequalities, respectively. A total of 670 000 respondents (329 000 [49.1%] men; 341 000 [50.9%] women) aged 20 years and older from 6 survey cycles were enrolled for this study. The largest age group was those aged 40 to 59 years (eg, 2005 cycle: 40.2% [95% CI, 39.9%-40.6%]). In the 2015/2016 cycle, the overall age- and sex-adjusted prevalence rates of hypertension, diabetes, obesity, and current smoking were 20.7% (95% CI, 20.4%-21.1%), 7.2% (95% CI, 7.0%-7.5%), 20.1% (95% CI, 19.7%-20.6%), and 17.8% (95% CI, 17.4%-18.2%), respectively. From 2005 to 2016, there was a significant increase in the prevalence of hypertension, diabetes, and obesity (eg, prevalence of diabetes in both sexes, 2005: 5.8% [95% CI, 5.6%-6.0%]; 2015/2016: 7.2% [95% CI, 7.0%-7.5%]; P < .001) but a significant decrease in the prevalence of current smoking (both sexes, 2005: 22.1% [95% CI, 21.7%-22.5%]; 2015/2016: 17.8% [95% CI, 17.4%-18.2%]; P < .001). The prevalence of all the risk factors varied widely across health regions (eg, obesity, Vancouver Health Service Delivery Area: 6.7% [95% CI, 4.5%-9.0%]; Miramichi Area: 36.8% [95% CI, 27.3%-46.3%]). In addition to obesity among men, all risk factors tended to be more common among those with lower income (eg, prevalence of hypertension in both sexes, 2015/2016, lowest income group: 23.2% [95% CI, 22.4%-24.0%]; highest income group: 18.4% [95% CI, 17.7%-19.1%]). The SII and RII indicated consistent absolute and relative socioeconomic inequalities in hypertension, diabetes, and current smoking over time (eg, RII for hypertension in both sexes, 2005: 1.25; 95% CI, 1.18-1.33; 2015/2016: 1.34; 95% CI, 1.26-1.43). However, the phenomenon of absolute and relative socioeconomic inequalities in obesity was only observed among women (eg, RII for 2015/2016 for obesity in women; 1.74 (95% CI, 1.56-1.93); men: 1.09; 95% CI, 0.99-1.21). During the study period, the prevalence of hypertension, diabetes, and obesity significantly increased, while the prevalence of current smoking significantly decreased. Geographic and socioeconomic gaps should be considered and addressed in future interventions and policies targeted at reducing these cardiovascular risk factors in Canada.

A health inequality impact assessment of leveling down overweight and obesity

Abstract Background Social differences in the proportion of overweight and obesity have increased in recent decades. Health impact assessments provide population-level valuations of changes in disease prevalence related to scenarios with different risk factors levels. These scenarios can be focused on reducing overweight and obesity among people with low socioeconomic position. Methods This study included the projected population of Copenhagen, Denmark in year 2040 (n = 742,130). Using the DYNAMO-HIA tool we conducted a health inequality impact assessment. Future prevented disease prevalence (IHD, diabetes, stroke, and multi-morbidity) and change in life expectancy related to an equalized scenario were estimated in a scenario where the prevalence of overweight/obesity (OWOB) in the group of people with short and medium educational attainment was reduced to the levels of people with long education. Results A higher proportion of people with short and medium education were OWOB than among people with long education and they had higher prevalence of cardiometabolic diseases. The diabetes prevalence among people with short education was reduced by 8-10% for men and 12-13% for women and life expectancy with diabetes decreased by one year in the group of women with short education. No notable effect of the equalized OWOB was seen regarding life expectancy with and prevalence of stroke and IHD. Conclusions Reaching the low prevalence of OWOB observed among people with high educational level, will reduce future cardiometabolic disease, increase life expectancy and meanwhile reduce the social inequality in health. These findings can serve as relevant references points for public health planners. Key messages This study is the first to combine advanced mathematical modelling and population data to assess changes in health from reducing socioeconomic inequality in obesity and overweight. These results propose valuable reference values for outcome assessments of interventions on inequalities in health.

Addressing socioeconomic inequalities in obesity: Democratising access to resources for achieving and maintaining a healthy weight.

Addressing socioeconomic inequalities in obesity: Democratising access to resources for achieving and maintaining a healthy weight.

Socioeconomic inequalities in obesity in Brazil

The aim of this work was to analyze the socioeconomic inequality in overweight and obesity for the Brazilian adult population and to determine the factors that contribute the most to the observed inequality. Data from the 2013 National Health Survey (Pesquisa Nacional de Saúde - PNS) were used and the inequality was calculated using the concentration index, which was decomposed to analyze the contribution of different factors (demographic, schooling, lifestyle, sanitation, among others). The analyses were stratified by gender and region, in order to identify some heterogeneity. The results for gender showed that the inequality in overweight and obesity in men is concentrated in the richest ones, whereas, for women, the indices did not show inequality. In the analyzes per region, the results showed the same pattern for men, and differences were found for women, suggesting that overweight is more concentrated in rich women in the less developed regions (North and Northeast) and in poor women in more developed regions (South, Southeast and Midwest). Income, demographics, schooling, and lifestyles are the factors that contributed most to the observed inequality. Public policy strategies should aim to reduce such persistence of overweight and obesity, but also seek equity and equality in health.

The Contribution of Diet Quality to Socioeconomic Inequalities in Obesity: A Population-based Study of Swiss Adults.

Socioeconomically disadvantaged people are disproportionally more likely to develop obesity and obesity-related diseases. However, it remains unclear to what extent diet quality contributes to socioeconomic inequalities in obesity. We aimed to assess the role of diet quality in the association between socioeconomic status (SES) and obesity. Data originated from the national nutrition survey, a cross-sectional sample of the adult Swiss population (N = 1860). We used education and income as proxies for SES; calculated the Alternate Healthy Eating Index (AHEI) as a measure of diet quality; and used body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) as obesity markers. We applied counterfactual mediation modelling to generate odds ratios, 95% confidence intervals, and the proportion mediated by diet quality. Individuals with less than a tertiary education were two to three times more likely to be obese, regardless of the marker (OR (95% CI): 3.36 (2.01, 5.66) using BMI; 2.44 (1.58, 3.75) using WC; 2.48 (1.63, 3.78) using WHR; and 2.04 (1.43, 2.96) using WHtR). The proportion of the association between educational level and obesity that was mediated by diet quality was 22.1% using BMI, 26.6% using WC, 31.4% using WHtR, and 35.8% using WHR. Similar findings were observed for income. Our findings suggest that diet quality substantially contributes to socioeconomic inequalities in obesity while it does not fully explain them. Focusing efforts on improving the diet quality of disadvantaged groups could help reduce social inequalities in obesity.

Measuring Socioeconomic Inequalities in Obesity among Korean Adults, 1998–2015

Obesity is a prominent global public health challenge as its prevalence has grown. Even though the increase in prevalence of obesity in Korea has been relatively low, it is expected to continually increase in the next several years, leading to social and economic burdens. This study aimed to assess socioeconomic inequalities in obesity among Korean adults. Using nationally representative survey datasets, the concentration index (CI) and decomposition of the CI were used to capture and quantify obesity-related inequalities from 1998 to 2015. The results suggested that pro-poor inequalities in obesity existed in Korea, indicating that obesity was more concentrated among individuals with lower income. In a gender-stratified model, obesity was more concentrated among women with lower income and men with higher income, showing that the trend and magnitude of inequalities in obesity each vary by gender. The decomposition approach revealed that, over the past 17 years, the main contributors to the existing inequalities were higher education and higher income levels. These findings suggest that comprehensive and multifaceted interventions at the local and national levels should be considered to address the identified income- and education-related barriers with respect to obesity among Korean adults.

Future trends in social inequalities in obesity in England, Wales and Scotland.

Previous studies have shown persistent or increasing socioeconomic inequalities in obesity in many European countries. The aim of this study was to project trends in social inequalities in obesity to 2035 in male and female adults (aged 16+) in the UK to ascertain if the gap is widening or narrowing. BMI data for the UK were extracted from the Health Survey for England (2004-14), Scottish Health Survey (2008-14) and the Welsh Health Survey (2004-14), respectively. A non-linear multivariate regression model was fitted to cross-sectional risk factor data to create longitudinal projections to 2035 stratified by sex, and occupational status or education level. Individuals in routine and manual jobs are projected to have the highest prevalence of obesity by 2035 and to experience the highest increases in obesity prevalence to 2035. Social inequalities based on occupation are projected to widen (except in English females). Social inequalities based on education are projected to decrease (except in Welsh females). A population strategy of prevention focused on the structural determinants of obesity is needed to change the trajectory of obesity prevalence trends and to tackle health inequalities.

Socioeconomic inequalities in obesity: modelling future trends in Australia

ObjectivesTo develop a model to predict future socioeconomic inequalities in body mass index (BMI) and obesity.DesignMicrosimulation modelling using BMI data from adult participants of Australian Health Surveys, and published data...

Socioeconomic inequalities in obesity among Korean women aged 19-79 years: the 2016 Korean Study of Women's Health-Related Issues.

OBJECTIVESWhile the prevalence of obesity in Asian women has remained stagnant, studies of socioeconomic inequalities in obesity among Asian women are scarce. This study aimed to examine the recent prevalence of obesity in Korean women aged between 19 years and 79 years and to analyze socioeconomic inequalities in obesity.METHODSData were derived from the 2016 Korean Study of Women’s Health-Related Issues. The chi-square test and logistic regression analysis were used to analyze the associations between socioeconomic factors and obesity using Asian standard body mass index (BMI) categories: low (<18.5 kg/m2 ), normal (18.5-22.9 kg/m2 ), overweight (23.0-24.9 kg/m2 ), and obese (≥25.0 kg/ m2 ). As inequality-specific indicators, the slope index of inequality (SII) and relative index of inequality (RII) were calculated, with adjustment for age and self-reported health status.RESULTSKorean women were classified into the following BMI categories: underweight (5.3%), normal weight (59.1%), overweight (21.2%), and obese (14.4%). The SII and RII revealed substantial inequalities in obesity in favor of more urbanized women (SII, 4.5; RII, 1.4) and against of women who were highly educated (SII, -16.7; RII, 0.3). Subgroup analysis revealed inequalities in obesity according to household income among younger women and according to urbanization among women aged 65-79 years.CONCLUSIONSClear educational inequalities in obesity existed in Korean women. Reverse inequalities in urbanization were also apparent in older women. Developing strategies to address the multiple observed inequalities in obesity among Korean women may prove essential for effectively reducing the burden of this disease.

Socioeconomic Inequalities in the Rise of Adult Obesity: A Time-Trend Analysis of National Examination Data from Germany, 1990–2011

Objective: Despite extensive study of the obesity epidemic, research on whether obesity has risen faster in lower or in higher socioeconomic groups is inconsistent. This study examined secular trends in obesity prevalence by socioeconomic position and the resulting obesity inequalities in the German adult population. Methods: Data were drawn from three national examination surveys conducted in 1990–1992, 1997–1999 and 2008–2011 (n = 18,541; age range: 25–69 years). Obesity was defined by a body mass index ≥30 kg/m² using standardised measurements of body height and weight. Education and equivalised household disposable income were used as indicators of socioeconomic position. Time trends in socioeconomic inequalities in obesity were examined using linear probability and log-binomial regression models. Results: In each survey period, the highest socioeconomic groups had the lowest prevalence of obesity. The low and medium socioeconomic groups showed increases in obesity prevalence, whereas no such trend was observed in the high socioeconomic groups. Absolute inequalities in obesity by income increased by an average of 0.53 percentage points per year (95% confidence interval [CI] 0.01–1.05, p = 0.047) among men and 0.47 percentage points per year (95% CI 0.05–0.90, p = 0.029) among women. Absolute inequalities in obesity by education increased on average by 0.64 percentage points per year (95% CI 0.19–1.08, p = 0.005) among women but not among men (0.33 percentage points, 95% CI –0.27 to 0.92, p = 0.283). Conclusions: These findings suggest a widening obesity gap between the top and the bottom of the socioeconomic spectrum. This has the potential to have adverse consequences for population health and health inequalities in coming decades. Interventions that are effective in preventing and reducing obesity in socially disadvantaged groups are needed.

Measuring and Decomposing Socioeconomic Inequalities in Adult Obesity in Western Iran.

ObjectivesObesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran.MethodsA total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ≥30 kg/m2. The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity.ResultsOverall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity.ConclusionsSocioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.

Menu labels, for better, and worse? Exploring socio-economic and race-ethnic differences in menu label use in a national sample

Menu calorie labeling aims to empower customers to make healthier food choices, but researchers have questioned whether labels will empower those with greater health literacy, literacy or numeracy more, possibly reinforcing race-ethnic or socioeconomic inequalities in obesity. The goal of this study was to investigate differences in seeing and using restaurant menu calorie labels and whether differences have compounded over time.Using data from three rounds of the National Health and Nutrition Examination Survey covering the period 2007–2014, we investigate race-ethnic and socio-economic differences in menu label usage over time adjusting for sex, age and body weight.While menu label usage increased over time, not all groups increased their use equally. While we find that Blacks and Hispanics use labels more than Whites in sit-down restaurants, more educated individuals, higher income groups and Whites each increased the degree to which they saw and/or used labels in certain settings compared with other groups.This study reinforces concerns that menu-calorie labeling may exacerbate socio-economic and certain race-ethnic obesity differences.As menu labeling policy moves forward to be implemented federally, more attention may need to be diverted to educational campaigns accompanying the implementation and improving the labels so the information is easier to use.

Correcting the self-reported BMI doesn’t impact the socio-economic inequalities in obesity

Correcting the self-reported BMI doesn’t impact the socio-economic inequalities in obesity

Socioeconomic Inequality in Childhood Obesity.

The aim of this study was to assess the socioeconomic inequalities in obesity and overweight in children aged 10 to 12 yr old. A cross-sectional study. This study was conducted on 2506 children aged 10 to 12 yr old in the city of Sanandaj, western Iran in 2015. Body mass index (BMI) was calculated. Considering household situation and assets, socioeconomic status (SES) of the subjects was determined using Principal Component Analysis (PCA). Concentration Index was used to measure inequality and Oaxaca decomposition was used to determine the share of different determinants of inequality. The prevalence of overweight was 24.1% (95% CI: 22.4, 25.7). 11.5% (95% CI: 10.0, 12.0) were obese. The concentration index for overweight and obesity, respectively, was 0.10 (95% CI: 0.05, 0.15), and 0.07 (95% CI:0.00, 0.14) which indicated inequality and a higher prevalence of obesity and overweight in higher SES. The results of Oaxaca decomposition suggested that socioeconomic factors accounted for 75.8% of existing inequalities. Residential area and mother education were the most important causes of inequality. To reduce inequalities in childhood obesity, mother education must be promoted and special attention must be paid to residential areas and children gender.

Measuring Socioeconomic Inequality in Obesity: Looking Beyond the Obesity Threshold.

We combine two of the most widely used measures in the inequality and poverty literature, the concentration index and Foster–Greer–Thorbecke metric to the analysis of socioeconomic inequality in obesity. This enables us to describe socioeconomic inequality not only in obesity status but also in its depth and severity. We apply our method to 1971–2012 US data and show that while the socioeconomic inequality in obesity status has now almost disappeared, this is not the case when depth and severity of obesity are considered. Such socioeconomic gradient is found to be greatest among non‐Hispanic whites, but decomposition analysis also reveals an inverse relationship between income and obesity outcomes among Mexican Americans once the effect of immigrant status has been accounted for. The socioeconomic gradient is also greater among women with marital status further increasing it for severity of obesity while the opposite is true among men. Overall, the socioeconomic gradient exists as poorer individuals lie further away from the obesity threshold. Our study stresses the need for policies that jointly consider obesity and income to support those who suffer from the double burden of poverty and obesity‐related health conditions. © 2016 The Authors. Health Economics Published by John Wiley & Sons Ltd.

Disentangling effects of socioeconomic status on obesity: A cross-sectional study of the Spanish adult population

This paper complements previous estimations regarding socioeconomic inequalities in obesity for Spanish adults, and provides new evidence about the mechanisms through which socioeconomic status (SES) affects obesity. Microdata from the Spanish National Health Survey (SNHS) 2011–2012 are analysed. Corrected concentration indices (CCI) are calculated to measure inequality. Path analysis is employed to disentangle direct and indirect effects of SES on obesity, where dietary patterns, physical activity and sleep habits act as mediator variables. Multivariate logistic models are used to select those exogenous variables to be included in the path diagram. Men and women are analysed separately. Our results show significant pro-rich inequality in the distribution of obesity (the poorer the more obese), particularly for women (CCI=−0.070 for men, CCI=−0.079 for women). The indirect effects of SES on obesity (those transmitted via mediator variables) are quite modest (3.3% for males, 2.4% for females) due to three reasons. Firstly, dietary habits do not show a significant mediating effect. Secondly, the mediating effect of physical activity in leisure time, although significant (14% for males, 11.1% for females), is offset by that related to main activity. Finally, sleep habits contribution to total effect of SES on obesity is statistically significant but small (roughly 1%). Our results indicate that promoting physical activity in leisure time for those with a low SES, particularly for men, would contribute to prevent obesity and to reduce health inequalities. Promotion of adequate sleep habits for women with a low SES might have a similar effect. However, interventions aimed to reduce sedentarism related to main activity, although useful to prevent obesity, would amplify the obesity socioeconomic gradient. Since effects of SES are different for men and women, socioeconomic health inequalities should be addressed also from a gender perspective.