Overweight in men and women among urban area residents: individual factors and socioeconomic context

Factors Contributing to the Change in Overweight/Obesity Prevalence Among Indian Adults: A multivariate decomposition analysis of data from the National Family Health Surveys

INTRODUCTION

Concerns over the escalating burden of non-communicable diseases call for the redressal of behavioral risk factors like increased body mass index. Most studies have failed to quantify the contribution of socio-demographic characteristics in a linear trend. The present study aims to estimate the current prevalence of overweight and obesity in Indian adults and the contribution of different socio-demographic factors to the increasing prevalence.

METHODS

We carried out a secondary data analysis of two National Family Health Survey (NFHS) rounds. The final sample includes 558,122 women and 84,477 men from round 4, and 574,099 women and 74,761 men were included from round 5, using a multi-stage stratified random sampling approach. Overweight/obesity was our primary dependent variable. Weighted bivariate analysis was used to ascertain the prevalence, and the adjusted odds ratios were computed to ascertain the potential predictors. The contribution of different factors towards rising burden over two time points was estimated using multivariate decomposition analysis for non-linear response models.

RESULTS

Overall weighted prevalence of overweight and obesity in males and females per NFHS-5 was 44.02% and 41.16%, respectively, compared to 37.71% and 36.14% in NFHS-4. Decomposition analyses depict that the proportion of obesity increased by 6.37% and 5.10% points among men and women, respectively, over the two rounds. Compositional differences of participants (endowment) attributed to 16.54 and 49.90% differences, and the difference in coefficient or effect accounted for 83.46 and 50.10%, respectively, of the increase in the prevalence. The most significant factors contributing to increased prevalence were age, improving socio-economic status, smoking, unclean cooking fuel, and diabetes.

CONCLUSIONS

The incremental rise in such a short period, mainly attributed to the effect of socio-demographic variables, is concerning. Policy interventions should prioritize health advocacy programs and aggressively target behavioral modifications while preparing the health systems to manage the people living with obesity.

Spatiotemporal distribution and determinants of overweight or obesity among urban women in Ethiopia: a multivariate decomposition analysis

BACKGROUND

Overweight /obesity is a global public health concern. It is higher among women than men in most continents of the world. This study aimed to determine the spatiotemporal distribution and determinants of changes in overweight/obesity over time among urban women in Ethiopia.

METHODS

We used data from three consecutive Demographic and Health Surveys in Ethiopia (2005, 2011, and 2016). The total weighted sample of 1112 in 2005, 3569 in 2011, and 3071 in 2016 urban women were included in the analysis. The primary outcome measure of this study was the spatiotemporal distribution and trends over time in overweight/obesity. Factors contributing to change in overweight/obesity were examined using a logit-based multivariate decomposition analysis.

RESULTS

Overweight/obesity increased from 14.2% in 2005 to 21% in 2016. Approximately 61.3% of the overall increase in overweight/obesity among urban women was due to the difference in coefficient (difference in the effect of characteristics) across the surveys. Changes in the composition of women aged 25-49 years (β = 0.012, 95% CI 0.008, 0.015), married women (β = 0.010, 95% CI 0.006, 0.014), women with formal education (primary: β = 0.007, 95% CI 0.003, 0.011, higher education: β = 0.014, 95% CI 0.006, 0.022), women with formal employment (β = 0.006, 95% CI 0.001, 0.011), and women with informal employment (β = - 0.002, 95% CI - 0.003, - 0.0004) were factors contributing to the change in overweight/obesity from 2005 to 2016. The risk difference (RD) in women's overweight/obesity significantly varied across regions in urban Ethiopia. Furthermore, a high proportion of overweight/obesity was found mainly in Tigray, Oromia, Amhara, and Addis Ababa.

CONCLUSIONS

The rate of overweight/obesity among women in urban Ethiopia has shown a significant increase over the last 11 years. This rate change was due to changes in the composition of women's age, educational status, marital status, and employment status. Therefore, program interventions should be targeted at older (> 25 years), educated, married, Addis Ababa residents, and formally employed women.

Excess weight among women in a low-income urban community: socioeconomic, demographic and reproductive factors

The aim of the present study was to investigate the prevalence of excess weight and associated factors in women of reproductive age living in a low-income community. A cross-sectional study was conducted with a sample of 663 women 15 to 49 years of age residing in the neighborhood of Coelhos in the city of Recife, Brazil. Body mass index (BMI)-for-age was used to classify the nutritional status of the adolescents (15 to 19 years of age), adopting Z-score of ≥+1 for the definition of overweight. For the adults, BMI≥25.0 kg/m² was considered indicative of overweight. Socioeconomic, demographic and reproductive variables were analyzed as possible factors associated with overweight. The prevalence of excess weight was found in two thirds of the sample. The results of the Poisson multiple regression analysis showed a significantly higher prevalence of excess weight with the advance in age, among those with a younger menarche age, those who had three or more pregnancies, those living with their partner and those self-declared black or white. Multiparity was the only factor associated with excess weight that could be modified, which underscores the importance of prenatal and family planning services to its prevention and control.

Educational inequalities in obesity: a multilevel analysis of survey data from cities in Latin America

OBJECTIVE

Using newly harmonised individual-level data on health and socio-economic environments in Latin American cities (from the Salud Urbana en América Latina (SALURBAL) study), we assessed the association between obesity and education levels and explored potential effect modification of this association by city-level socio-economic development.

DESIGN

This cross-sectional study used survey data collected between 2002 and 2017. Absolute and relative educational inequalities in obesity (BMI ≥ 30 kg/m2, derived from measured weight and height) were calculated first. Then, a two-level mixed-effects logistic regression was run to test for effect modification of the education-obesity association by city-level socio-economic development. All analyses were stratified by sex.

SETTING

One hundred seventy-six Latin American cities within eight countries (Brazil, Chile, Colombia, Costa Rica, El Salvador, Guatemala, Mexico and Peru).

PARTICIPANTS

53 186 adults aged >18 years old.

RESULTS

Among women, 25 % were living with obesity and obesity was negatively associated with educational level (higher education-lower obesity) and this pattern was consistent across city-level socio-economic development. Among men, 18 % were living with obesity and there was a positive association between education and obesity (higher education-higher obesity) for men living in cities with lower levels of development, whereas for those living in cities with higher levels of development, the pattern was inverted and university education was protective of obesity.

CONCLUSIONS

Among women, education was protective of obesity regardless, whereas among men, it was only protective in cities with higher levels of development. These divergent results suggest the need for sex- and city-specific interventions to reduce obesity prevalence and inequalities.

Prevalence of double burden on malnutrition at household level in four Latin America countries

Abstract Objectives: to estimate the prevalence of maternal overweight and short stature in children at household level in Brazil, Bolivia, Colombia and Peru. Methods: a cross-sectional descriptive study. Population-based studies on children (0-5 years old) and women (15 to 49 years old) who participated in the Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher(National Survey on Children and Women Demography and Health) in Brazil and the Encuesta Nacional de Demografía y Salud, (National Survey on Demography and Health), in Bolivia, Colombia and Peru. Variables of interest: overweight mother and child with short stature, a double burden when both outcomes are present. Global prevalence and stratification, according to rural and urban areas and 95% confidence intervals, were estimated. Results: the global sample consisted of 26,506 households. The prevalence of double burden was 9.3% in Bolivia (CI95%= 8.3-10.4), 6.7% in Peru (CI95%=5.9-7.5), Colombia (3.2%; CI95%=2.8-3.6) and Brazil (2.2%; CI95%=1.4-3.2). The highest prevalence were observed in the rural areas in Bolivia (13% vs 6.5%; p<0.001) and Peru (11.9% vs 4.1%; p<0.001). Conclusions: the highest prevalence were registered in Peru and Bolivia, and the lowest in Brazil and Colombia.

Double burden of malnutrition at household level: A comparative study among Bangladesh, Nepal, Pakistan, and Myanmar

BACKGROUND

The coexistence of overweight mother and stunted child at the same household is a type of Double Burden of Malnutrition at Household Level (DBMHL). This particular public health concern is now emerging at an alarming rate among most of the South Asian and its neighboring lower-and-middle income countries which are going through nutritional transition. This study has examined the prevalence rate and the risk factors of DBMHL along with the socio-economic inequality in DBMHL among Bangladesh, Nepal, Pakistan, and Myanmar.

METHODS

Latest Demographic and Health Survey datasets were used in this study. To identify the significant association of DBMHL with socio-demographic characteristics, a multivariate technique named as logistic regression model, and for measuring socio-economic inequalities in DBMHL prevalence, relative index of inequality (RII) and slope index of inequality (SII) were used.

RESULTS

The prevalence rates of DBMHL were 4.10% (urban: 5.57%, rural: 3.51%), 1.54% (urban: 1.63%, rural: 1.42%), 3.93% (urban: 5.62%, rural: 3.20%), and 5.54% (urban: 6.16%, rural: 5.33%) respectively in Bangladesh, Nepal, Pakistan, and Myanmar. The risk ratios (RR) obtained from RII for Bangladesh, Nepal, Pakistan and Myanmar were 1.25, 1.25, 1.14, and 1.09, respectively, and β coefficient from SII were 0.01, 0.004, 0.005, and 0.006 unit respectively. In addition to not breastfeeding [Bangladesh (AOR: 1.55; 95% CI: 1.11-2.15), Myanmar (AOR: 1.74; 95% CI: 1.02-2.95)], respondent's older age (in Bangladesh, Nepal, and Myanmar), child's older age (in Pakistan and Myanmar), and middle and rich groups of wealth-index (in Bangladesh and Pakistan) were strong risk factors for DBMHL. On the other hand, female child [Nepal (AOR: 0.50; 95% CI: 0.26-0.95), Pakistan (AOR: 0.58; 95% CI: 0.41-0.84)], higher education [in Pakistan], respondent not participated in decision making [in Bangladesh and Nepal] and media access [Nepal (AOR: 0.44; 95% CI: 0.20-0.98)] had negative association with DBMHL.

CONCLUSION

The DBMHL persists in all selected countries, with a higher prevalence in urban areas than in rural areas. In order to control the higher prevalence of DBMHL in urban areas, respective countries need urgent implementation of multisectoral actions through effective policies and empowering local communities.

Contextual characteristics associated with the perceived neighbourhood scale in a cross-sectional study in a large urban centre in Brazil

INTRODUCTION

Health outcomes have been associated with physical and social characteristics of neighbourhoods, but little is known about the relationship between contextual factors and perceived neighbourhood scale.

OBJECTIVE

To identify the contextual factors associated with self-perceived neighbourhood scale.

METHODS

We analysed data from a cross-sectional population-based study in Belo Horizonte, Brazil, that took place in 2008-2009. The dependent variable was perceived neighbourhood, encoded as an ordinal scale based on a brief description of the concept of the neighbourhood, and two independent scales relating distance, expressed in terms of geography and time. Street connectivity, demographic density and residents' perceptions of the neighbourhoods' physical and social environment were used as contextual predictors. Individual characteristics were used as covariates. Multilevel ordinal logistic regression models estimated the association between perceived neighbourhood scale and contextual characteristics.

RESULTS

Residents that perceive better walkability (OR 2.96; 95% CI 1.29 to 3.82) and high amounts of violence (OR 1.35; 95% CI 1.12 to 1.62) perceived their neighbourhoods to be larger, even after adjusting for individual characteristics.

CONCLUSION

There are contextual factors that are associated with self-perceived neighbourhood scale. Careful definition of neighbourhood scale is a key factor in improving the results of eco-epidemiological studies. Although these findings must be further explored in other studies, these results can contribute to a better understanding of an appropriate choice of neighbourhood scale, especially for cities in Latin America.

Urban upgrading and its impact on health: a "quasi-experimental" mixed-methods study protocol for the BH-Viva Project

There is little scientific evidence that urban upgrading helps improve health or reduce inequities. This article presents the design for the BH-Viva Project, a "quasi-experimental", multiphase, mixed-methods study with quantitative and qualitative components, proposing an analytical model for monitoring the effects that interventions in the urban environment can have on residents' health in slums in Belo Horizonte, Minas Gerais State, Brazil. A preliminary analysis revealed intra-urban differences in age-specific mortality when comparing areas with and without interventions; the mortality rate from 2002 to 2012 was stable in the "formal city", increased in slums without interventions, and decreased in slums with interventions. BH-Viva represents an effort at advancing methodological issues, providing learning and theoretical backing for urban health research and research methods, allowing their application and extension to other urban contexts.