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

Andrade, Rafael; Chaves, Otaviana Cardoso; Costa, Dário Alves da Silva; Andrade, Amanda Cristina de Souza; Bispo, Stephanie; Felicíssimo, Mônica Faria; Friche, Amélia Augusta de Lima; Proietti, Fernando Augusto; Xavier, César Coelho; Caiaffa, Waleska Teixeira

doi:10.1590/0102-311x00102714

Cited by 9 publications

(7 citation statements)

References 43 publications

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“…A variety of child and maternal socio-demographic characteristics that have been theoretically or empirically linked to child malnutrition [39–44] or maternal overweight [15,19,20,45–48] were included in the analysis. The children’s characteristics were age, sex, birth order, disease, and breast-feeding status.…”

Section: Methodsmentioning

confidence: 99%

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

Anik

Rahman

et al. 2019

PLoS ONE

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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.

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Section: Methodsmentioning

confidence: 99%

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

Anik

Rahman

et al. 2019

PLoS ONE

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“…On the other hand, the current study disagrees with a study done in Brazil [ 6 ]. This difference might be the difference in the study population which included both men and women, residents, with the age group 20–60 years[ 41 ].…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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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.

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“…These districts were selected because they presented heterogeneity within the city in relation to social, sociodemographic and health indicators. 31–33 …”

Section: Methodsmentioning

confidence: 99%

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

et al. 2018

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IntroductionHealth 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.ObjectiveTo identify the contextual factors associated with self-perceived neighbourhood scale.MethodsWe 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.ResultsResidents 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.ConclusionThere 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.

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

Cited by 9 publications

References 43 publications

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

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

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

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

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