Sex differences in obesity associated with total fertility rate

Multilevel factors associated with overweight and obesity in East Africa: Comparative analysis in five countries from 2003 to 2016

Rising rates of overweight/obesity in sub-Saharan Africa (SSA) are a growing concern. Regional analysis of sociodemographic factors associated with overweight/obesity, as is common, may mask nationally specific associations. We examine the spatiotemporal trends of overweight/obesity in women (15-49 years) using 13 years of data (2003-2016) from Demographic and Health Surveys in five East African countries. Multivariable logistic regression reveals that urbanization and individual education, wealth, employment, marital status, and age are linked to overweight/obesity in the region, but their influence varied between nations. Variations in sociodemographic risk factors across nations underscore the need for tailored surveillance and interventions to address the increasing burden of overweight/obesity in East Africa.

Worse becomes the worst: obesity inequality, its determinants and policy options in Iran

Background

This tracked obesity inequality and identified its determinants among the population of Iran. In addition, it examined the impact of implemented policies on these inequalities.

Methods

This study was performed in two phases. First, we conducted a rapid review of the disparity in obesity prevalence in Iran. Then we investigated the main determinants of this inequality in a qualitative study. In addition, we examined Iran's policies to deal with obesity from the perspective of equality. We conducted 30 Semi-structured interviews with various obesity stakeholders selected through a purposive snowball sampling method between November 25, 2019, and August 5, 2020. In the inductive approach, we used the content analysis method based on the Corbin and Status framework to analyze the data using MAXQDA-2020. The consolidating criteria for reporting a Qualitative Study (COREQ-32) were applied to conduct and report the study.

Results

Inequalities in the prevalence of obesity in terms of place of residence, gender, education, and other socioeconomic characteristics were identified in Iran. Participants believed that obesity and inequality are linked through immediate and intermediate causes. Inequality in access to healthy foods, physical activity facilities, and health care are the immediate causes of this inequality. Intermediate factors include inequality against women, children, and refugees, and inequality in access to information, education, and financial resources. Policymakers should implement equity-oriented obesity control policies such as taxing unhealthy foods, subsidizing healthy foods, providing healthy and free meals in schools, especially in disadvantaged areas, and providing nutrient-rich foods to low-income families. Also, environmental re-engineering to increase opportunities for physical activity should be considered. Of course, for the fundamental reduction of these inequalities, the comprehensive approach of all statesmen is necessary.

Conclusion

Obesity inequality is a health-threatening issue in Iran that can prevent achieving human development goals. Targeting the underlying causes of obesity, including inequalities, must be considered.

The relationship of reproductive factors with adiposity and body shape indices changes overtime: findings from a community-based study

BACKGROUND

Studies focusing on the relationships of adiposity and body shape indices with reproductive factors have reported conflicting results. This study aimed to investigate the influence of reproductive factors on adiposity and body shape indices changes overtime.

MATERIALS AND METHODS

In this community-based prospective study, 1636 postmenopausal women were selected from Tehran Lipid and Glucose Study (TLGS). The unadjusted and adjusted Generalized Estimating Equation models (GEE) were applied to investigate secular longitudinal trends of adiposity and body shape indices.

RESULTS

According to the adjusted GEE models, mean changes in body mass index (BMI) in women with early menarche was 1.18 kg/m² higher than those with normal menarche age (P = 0.030). Moreover, the mean changes in BMI overtime were 0.11 kg/m² higher in women with premature/early menopausal age than those with normal menopausal age (P = 0.012). Mean changes of waist circumference (WC) in women with late menopause were 2.27 cm higher than those with normal menopausal age (P = 0.036). We also observed higher mean changes in a body shape index (ABSI) in women with late menopause (P = 0.037), compared to those with normal menopausal age. We found a marginal effect of parity on BMI and WC as well.

CONCLUSIONS

This study demonstrated higher BMI in females with earlier menarche age. We also showed higher values of BMI overtime in women with premature/ early menopause, whereas women with late menopausal age had higher WC and ABSI values. However, more longitudinal studies investigating body composition indices by adjusting all potential confounders are still required to confirm our study findings.

Double burden of malnutrition in Nepal: A trend analysis of protein-energy malnutrition and High Body Mass Index using the data from Global Burden of Disease 2010–2019

Background

The co-existence of undernutrition and overnutrition is a global public health threat. We aim to report the burden of both nutritional deficiency (Protein-Energy Malnutrition) and overweight (high Body Mass Index) in Nepal over a decade (2010–2019) and observe the changes through trend charts.

Methods

We did a secondary data analysis using the Institute for Health Metrics and Evaluation (IHME)’s Global Burden of Disease (GBD) database to download age-standardized data on Protein Energy Malnutrition (PEM) and high Body Mass Index (BMI). We presented the trend of death, Disability Adjusted Life Years (DALYs), Years of Life Lost (YLL), and Years Lost due to Disability (YLD) of PEM and high BMI in Nepal from 2010 to 2019 and also compared data for 2019 among South Asian countries.

Results

Between 2010 and 2019, in Nepal, the Disability Adjusted Life Years (DALYs) due to PEM were declining while high BMI was in increasing trend. Sex-specific trends revealed that females had higher DALYs for PEM than males. In contrast, males had higher DALYs for high BMI than females. In 2019, Nepal had the highest death rate for PEM (5.22 per 100,000 populations) than any other South Asian country. The burden of PEM in terms of DALY was higher in under-five children (912 per 100,000 populations) and elderly above 80 years old (808.9 per 100,000 populations), while the population aged 65–69 years had the highest burden of high BMI (5893 per 100,000 populations). In the last decade, the DALYs for risk factors contributing to PEM such as child growth failure (stunting and wasting), unsafe water, sanitation and handwashing, and sub-optimal breastfeeding have declined in Nepal. On the contrary, the DALYs for risk factors contributing to high BMI, such as a diet high in sugar-sweetened beverages, a diet high in trans fatty acid, and low physical activity, have increased. This could be a possible explanation for the increasing trend of high BMI and decreasing trend of PEM.

Conclusion

Rapidly growing prevalence of high BMI and the persistent existence of undernutrition indicate the double burden of malnutrition in Nepal. Public health initiatives should be planned to address this problem.

Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi

Information on the concentration of body mass index and child death among females in Malawi, where the epidemics of weight gain have been disconcerting and preventable deaths among children linger, is limited. Therefore, the study examined the polarity of body mass index and the death of children among females. Using data from the Malawian Demographic and Health Survey from 2000 to 2015–2016, the study applied for the first time the index of concentration at the extremes and indirect demographic techniques to estimate the polarity of body mass index and child mortality among 65,499 females aged 15 to 49 years. The preponderance of obesity more than doubled from 2000 to 2015–2016 and was highest among females who were older (35–49 years), urban dwellers, rich, and located in districts within the central and southern regions. In addition, child survival was low among underweight, overweight, and obese females. While national-, regional-, and individual-level statistics are in development, these findings provide helpful information for health experts and other stakeholders to initiate appropriate age-region specific programs and interventions in Malawi, including targeting females in the high socio-economic bracket.

Differences in Body Mass Index Trajectories and Their Classification, Sociodemographic Characteristics, and Health Behaviors between People with and without Disabilities Using Korea Health Panel Survey Data

A high body mass index (BMI) is an important factor that negatively affects the health of people with disabilities. In particular, since the high BMI has a cumulative effect on the occurrence of complications such as cardiovascular disease, it is required to investigate the data through longitudinal studies rather than cross-sectional studies. Therefore, we conducted a longitudinal follow-up study to examine the differences in the BMI trajectories of people in South Korea with disabilities, as well as the sociodemographic characteristics and health behaviors that classify individual trajectories into clusters. Participants aged 40 to 79 years who responded to the Korea Health Panel Survey (KHPS) from 2009 to 2018, 283 people with physical disabilities or brain lesion disorders, and 849 people without disabilities, were extracted. We found that the differences in the initial BMI between clusters were larger in 60-79-year-old people with disabilities (men 22.5 kg/m², 26.9 kg/m²; women 23.8 kg/m², 28.1 kg/m²) than in those without disabilities (men 22.1 kg/m², 23.3 kg/m²; women 24.8 kg/m², 25.6 kg/m²). Also, logistic regression analysis showed that, among the people with disabilities, women (OR = 1.94), those who lived alone (OR = 2.36), and those who were economically inactive (OR = 1.78) were more likely to be classified into the higher BMI category than those who were not. To effectively manage the BMI, it would be better to focus on women with disabilities, people with disabilities living alone, and people who are economically inactive.

Is a 'culture of plus-size women' the independent effect of neighborhood disadvantage on female BMI? A cross-sectional study in two Chilean Municipalities

Research has shown that neighborhood disadvantage has an effect on BMI that is independent of individual disadvantage, much more pronounced in women than in men. The mechanisms that explain this gender-specific effect are not yet clear. Since women's body size dissatisfaction is closely linked to gender differences in BMI inequalities, the independent effect of neighborhood disadvantage on female BMI may relate to a local culture of acceptance of female large bodies, that could influence women's parameters for body size dissatisfaction. This study explored how the relation between female BMI, neighborhood income, individual income and education is influenced by body size dissatisfaction in a random sample of 882 women aged 20-60 that reside in two Chilean Municipalities. Data have a two level structure (women nested in 17 neighborhoods); it was collected by direct survey, height and weight were measured with portable instruments. Disadvantaged neighborhoods house mainly poor and low educated women, whereas the wealthier ones were inhabited mostly by affluent women with postsecondary education. The proportion of women without a husband/partner and with more than three children in disadvantaged neighborhoods was higher than better off areas. Multilevel linear regression showed that neighborhood disadvantage had an effect on female BMI that was independent of women's income and education, which was explained by body size dissatisfaction. The mean BMI for body size satisfaction among women in disadvantaged neighborhoods was 2 kg/m² higher than in affluent areas, which suggests that a 'culture of plus-size women' would emerge in urban clusters of poverty. The findings signal that neighborhood effects on BMI would relate to the socioeconomic polarization of urban areas, with marked concentrations of poverty and wealth, and might be explained by the psychosocial pathways associated to social disadvantage that act in addition to the effects of material conditions to influence people's health.

National trends in cardiovascular health metrics among Iranian adults using results of three cross-sectional STEPwise approaches to surveillance surveys

To examine the trends of 7 cardiovascular health metrics (CVH metrics) incorporate of smoking, physical activity, diet, body mass index (BMI), fasting plasma glucose (FPG), total cholesterol (TC), and blood pressure (BP) level during three cross-sectional STEPwise approaches to surveillance (STEPS), 2007-2016, among Iranian adults. The study population consisted of 19,841 women and 17,243 men, aged 20-65 years. The CVH metrics were categorized as 'ideal', 'intermediate', and 'poor'. The sex-stratified weighted prevalence rate of each CVH metrics was reported. The conditional probability of each poor versus combined intermediate and ideal metric was analyzed using logistic regression. In 2016 compared to 2007, the prevalence of poor BP level (20.4% vs. 23.7%), smoking (13.7% vs. 23.8%), TC ≥ 240 mg/dl (2.4% vs. 11.2%) and FPG < 100 mg/dl (75.6% vs. 82.3%) declined, whereas poor physical activity level (49.7% vs. 30%), poor healthy diet score (38.1% vs. 4.1%), BMI levels ≥ 25 kg/m2 (62.8% vs. 57.8%) increased. Despite a high prevalence of obesity among women, it remained constant in women but showed an increasing trend in men; moreover, the trends of low physical activity and current smoking were better for women. Despite some improvement in CVH metrics, < 4% of Iranian adults meet ≥ 6 CVH metrics in 2016; this issue needs intervention at the public health level using a multi-component strategy.

Education differences in women's body weight trajectories: The role of motherhood

Studies have found that education differences in women's body weight increase until middle adulthood. The explanatory mechanisms behind this increase are not well-understood. This study examined the role of education differences in the prevalence of motherhood as a risk factor for weight gain and in vulnerability to its effects on weight gain. We used longitudinal data from the German Socio-economic Panel Study. Our sample included 2,668 women aged between 17 and 45 and observed at least twice between 2002 and 2016 (n = 13,899 panel observations). We used OLS regression models to estimate initial education differences in body weight and fixed-effects panel regression models to estimate education differences in body-weight trajectories. Motherhood was associated with increasing body weight, and the effects of motherhood on weight gain varied by education. Motherhood partially accounted for the increase of education differences during reproductive age. Until the age of 30, differences in the prevalence of motherhood accounted for about 20% of the bodyweight gap between lower and higher educated women. From age 35 until 45, differential vulnerability to the effects of motherhood on body weight explained about 15% of the education gap in body weight.

Metabolic health in the Middle East and north Africa

The Middle East and north Africa are home to different populations with widely varying cultures, histories, and socioeconomic settings. Hence, their health status, health management, and access to appropriate health care differ accordingly. In this Review, we examine data on the historical and prospective status of metabolic diseases in this region including obesity, diabetes, hypertension, dyslipidaemia, and non-alcoholic fatty liver disease. Women in the Middle East and north Africa have the highest risk of metabolic diseases of all women globally, whereas men rank second of all men in this respect. Metabolic risk factors are responsible for more than 300 deaths per 100 000 individuals in this region, compared with a global mean of fewer than 250. Physical inactivity, especially in women, and an unhealthy diet (ie, low consumption of whole grains, nuts, and seafoods) stand out. More than one in every three women are obese in most countries of the region. Prevention programmes have not fully been achieved in most of these countries and the projected future is not optimistic. Comprehensive surveillance and monitoring of metabolic diseases, robust multisectoral systems that support primordial and primary preventions, continuous education of health-care providers, as well as collaboration between countries for joint projects in this region are urgently needed to overcome the paucity of data and to improve the metabolic health status of inhabitants in the Middle East and north Africa.

Households with a stunted child and obese mother: trends and child feeding practices in a middle-income country, 1992-2008

Middle-income countries in the intermediate stages of the nutrition transition are facing a complex picture of nutrition-related diseases with child stunting and maternal obesity coexisting within single households (SCOB). A debate exists as to whether SCOB is a true phenomenon or a statistical artefact. In this study, we examine time trends and determinants of SCOB in Egypt and test the hypothesis that increased child sugary snack consumption, and reduced fruit/vegetable consumption (markers of poor dietary diversity) are associated with SCOB. Data on 25,065 mothers and their children from the Egyptian Demographic and Health Surveys from 1992, 1995, 2005 and 2008 are used to examine trends in child stunting, maternal obesity and child-mother household type [normal/non-obese, stunted/non-obese, normal/obese, stunted/obese (SCOB)]. The association of child sugary snack and fruit/vegetable consumption with household type is also examined using multinomial logistic regression adjusting for maternal age, maternal education, child age, breastfeeding, household wealth and urban/rural residence. The prevalence of SCOB increased between the periods 1992/95 and 2005/08 despite reductions in stunting levels. This increase paralleled a rise in maternal obesity. Child sugary snack consumption was associated with higher odds (51 %) of belonging to a SCOB household compared with normal/non-obese households, while fruit/vegetable consumption was associated with lower odds (24 %). The results suggest the existence of a link between the rise in maternal obesity and an increase in SCOB, and an association between child sugary snack consumption and SCOB. Addressing SCOB may require a household-rather than individual-based approach to nutrition.

Do routinely measured risk factors for obesity explain the sex gap in its prevalence? Observations from Saudi Arabia

BACKGROUND

The prevalence of adult obesity is higher in women than men in most countries. However, the pathways that link female sex with excess obesity are still not fully understood. We examine whether socioeconomic and behavioural factors may mediate the association between sex and obesity in the Saudi Arabian setting where there is female excess in obesity.

METHODS

We performed a mediation analysis using a cross-sectional, national household survey from Saudi Arabia with 4758 participants (51% female). A series of multivariable regression models were fitted to test if socioeconomic position, physical activity, sedentary behaviour, diet, and smoking mediate the association between sex and obesity (BMI >=30). The findings were confirmed using causal mediation analysis.

RESULTS

Women in this sample were roughly twice as likely as men to be obese (crude OR 1.9; 95% CI 1.6-2.3). The odds ratio remained significantly higher for women compared to men in models testing for mediation (OR range 1.95-2.06). Our data suggest that indicators of socio-economic position, physical activity, sedentary behaviour, diet, and smoking do not mediate the sex differences in obesity.

CONCLUSIONS

Our analysis shows that most commonly measured risk factors for obesity do not explain the sex differences in its prevalence in the Saudi context. Further research is needed to understand what might explain the female excess in obesity prevalence. We discuss how data related to the lived experience of Saudi men and women may tap into underlying mechanisms by which the sex difference in obesity prevalence are produced.

The prevalence of adulthood overweight and obesity in Tehran: findings from Urban HEART-2 study

BACKGROUND

To estimate and compare prevalence of overweight and obesity among adult people across the 22 districts of Tehran in 2011.

METHODS

This was a cross-sectional study using data on 47,406 women and 47,525 men aged≥ 15 years from a large population-based survey (Urban HEART-2). Age-standardized prevalence (ASP) of overweight (25≤BMI<30) and obesity (BMI≥30) were estimated for the Tehran's districts. Pearson Chi2 tests and logistic regression were used to examine any significant differences in prevalence of these disorders across sociodemographic groups.

RESULTS

ASPs of overweight were 36.5% and 32.0 % among men and women, respectively (p<0.001). These figures for obesity were 10.7% and 15.3% among men and women, respectively (p<0.001). Crude prevalence of overweight and obesity rose with age up to the age of 54 years and decreased thereafter. Across education groups, the lowest prevalence of overweight/obesity was seen among most educated people. The results showed that being young, single and student were associated with lower odds of overweight/obesity.

CONCLUSION

This study showed a high prevalence of overweight and obesity among adult in Tehran. There were significant associations between sociodemographic characteristics and prevalence of overweight/obesity among adults in Tehran. The results of this study might be used in identifying high risk groups of overweight and obesity in Tehran.

Global differences between women and men in the prevalence of obesity: is there an association with gender inequality?

BACKGROUND/OBJECTIVES

In most populations the prevalence of obesity is greater in women than in men; however, the magnitude of the difference between the sexes varies significantly by country. We considered the role of gender inequality in explaining these disparities.

SUBJECTS/METHODS

We undertook an ecological analysis of internationally comparable obesity prevalence data to examine the association between indicators of gender inequality and the differences between men and women in obesity prevalence. Gender inequality was assessed using three measures: the Gender Inequality Index, the Global Gender Gap Index and the Social Institutions and Gender Index. We fitted multiple regression models to examine the association.

RESULTS

We found that the prevalence of obesity across countries shows gendered patterning with greater prevalence and greater heterogeneity in women than in men (P<0.001). We also found that two of three measures of gender inequality were significantly associated with the sex differences in obesity prevalence across countries.

CONCLUSIONS

The patterning of obesity across countries is gendered. However, the association between global measures of gender inequality and the sex gap in obesity is dependent on the measure used. Further research is needed to investigate the mechanisms that underpin the gendered nature of obesity prevalence.

Education modifies the association of wealth with obesity in women in middle-income but not low-income countries: an interaction study using seven national datasets, 2005-2010

BACKGROUND

Education and wealth may have different associations with female obesity but this has not been investigated in detail outside high-income countries. This study examines the separate and inter-related associations of education and household wealth in relation to obesity in women in a representative sample of low- and middle-income countries (LMICs).

METHODS

The seven largest national surveys were selected from a list of Demographic and Health Surveys (DHS) ordered by decreasing sample size and resulted in a range of country income levels. These were nationally representative data of women aged 15-49 years collected in the period 2005-2010. The separate and joint effects, unadjusted and adjusted for age group, parity, and urban/rural residence using a multivariate logistic regression model are presented.

RESULTS

In the four middle-income countries (Colombia, Peru, Jordan, and Egypt), an interaction was found between education and wealth on obesity (P-value for interaction <0.001). Among women with no/primary education the wealth effect was positive whereas in the group with higher education it was either absent or inverted (negative). In the poorer countries (India, Nigeria, Benin), there was no evidence of an interaction. Instead, the associations between each of education and wealth with obesity were independent and positive. There was a statistically significant difference between the average interaction estimates for the low-income and middle-income countries (P<0.001).

CONCLUSIONS

The findings suggest that education may protect against the obesogenic effects of increased household wealth as countries develop. Further research could examine the factors explaining the country differences in education effects.

Trends in overweight by educational level in 33 low- and middle-income countries: the role of parity, age at first birth and breastfeeding

This study examined trends in overweight among women of reproductive age by educational level in 33 low- and middle-income countries, and estimated the contribution of parity, age at first birth and breastfeeding to these trends. We used repeated cross-sectional Demographic Health Surveys of 255,828 women aged 25-49 years interviewed between 1992 and 2009. We applied logistic regression to model overweight (>25 kg m(-2) ) as a function of education, reproductive variables and time period by country and region. The prevalence of overweight ranged from 3.4% in South and Southeast Asia to 73.7% in North Africa West/Central Asia during the study period. The association between education and overweight differed across regions. In North Africa West/Central Asia and Latin American, lower education was associated with higher overweight prevalence, while the inverse was true in South/Southeast Asia and Sub-Saharan Africa. In all regions, there was a consistent pattern of increasing overweight trends across all educational groups. Older age at first birth, longer breastfeeding and lower parity were associated with less overweight, for differences by educational level in overweight prevalence and trends.

Childhood socioeconomic position, adult socioeconomic position and social mobility in relation to markers of adiposity in early adulthood: evidence of differential effects by gender in the 1978/79 Ribeirao Preto cohort study

Background:

Longitudinal studies drawn from high-income countries demonstrate long-term associations of early childhood socioeconomic deprivation with increased adiposity in adulthood. However, there are very few data from resource-poor countries where there are reasons to anticipate different gradients. Accordingly, we sought to characterise the nature of the socioeconomic status (SES)-adiposity association in Brazil.

Methods:

We use data from the Ribeirao Preto Cohort Study in Brazil in which 9067 newborns were recruited via their mothers in 1978/79 and one-in-three followed up in 2002/04 (23–25years). SES, based on family income (salaries, interest on savings, pensions and so on), was assessed at birth and early adulthood, and three different adiposity measures (body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR)) ascertained at follow-up. The association between childhood SES, adult SES and social mobility (defined as four permutations of SES in childhood and adulthood: low–low, low–high, high–low, high–high), and the adiposity measures was examined using linear regression.

Results:

There was evidence that the association between SES and the three markers of adiposity was modified by gender in both adulthood (P<0.02 for all outcomes) and childhood SES (P<0.02 for WC and WHR). Thus, in an unadjusted model, linear regression analyses showed that higher childhood SES was associated with lower adiposity in women (coefficient (95% confidence intervals) BMI: −1.49 (−2.29,−0.69); WC: −3.85 (−5.73,−1.97); WHR: −0.03 (−0.04,−0.02)). However, in men, higher childhood SES was related to higher adiposity (BMI: 1.03 (0.28,−1.78); WC: 3.15 (1.20, 5.09); WHR: 0.009 (−0.001, 0.019)) although statistical significance was not seen in all analyses. There was a suggestion that adult SES (but not adult health behaviours or birthweight) accounted for these relationships in women only. Upward mobility was associated with protection against greater adiposity in women but not men.

Conclusion:

In the present study, in men there was some evidence that both higher childhood and adulthood SES was related to a higher adiposity risk, while the reverse gradient was apparent in women.