Associations between macrolevel economic factors and weight distributions in low- and middle-income countries: a multilevel analysis of 200,000 adults in 40 countries

Double burden of malnutrition and associated factors among women of reproductive age in sub-Saharan Africa: a multilevel multinomial logistic regression analysis

BACKGROUND

Globally, malnutrition among women of reproductive age is on the rise and significantly contributing to non-communicable disease, deaths and disability. Even though the double burden of malnutrition (DBM) is a common problem among women in sub-Saharan Africa (SSA), there are limited studies examining the factors contributing to underweight, overweight, and obesity at the SSA level.

OBJECTIVE

To determine the factors associated with the DBM, and their relative magnitude, among women of reproductive age in SSA.

DESIGN

Cross-sectional study design.

SETTING

33 SSA countries.

PARTICIPANTS

240 414 women of reproductive age.

PRIMARY AND SECONDARY OUTCOME MEASURES

A multilevel multinomial logistic regression model was applied to identify factors associated with malnutrition. The adjusted relative risk ratio with 95% CI was used to declare the statistical significance of the association.

RESULTS

The pooled prevalence of underweight, overweight and obesity among women in SSA were 8.87%, 16.47% and 6.10%, respectively. Women who are from rural residence and smoke cigarettes were more likely to be underweight. Conversely, women between the age of 24-34 and 35-49, who have higher education, belong to a middle and rich household, are ever married, have high parity, use contraceptives, have media exposure and smoke cigarettes were more likely to be overweight and/or obese.

CONCLUSION

The findings of our study suggest that certain factors such as residence, education status, wealth, marital status, occupation, cigarette smoking, and contraceptive use have a significant assocation with malnutrition among women. Therefore, it is important for public health programs aimed at preventing the double burden of malnutrition to focus on these factors through comprehensive public awareness and cost-effective operational health interventions.

Spatial-temporal trends in global childhood overweight and obesity from 1975 to 2030: a weight mean center and projection analysis of 191 countries

BACKGROUND

The geographic information science-based interactive map provided good prospects for the public health to study disease prevalence. The purpose of this study is to understand global spatial-temporal trends of childhood overweight and obesity and underlying causes help formulating intervention strategies.

METHODS

This multiple cross-sectional study included data on childhood overweight and obesity prevalence, gross national income per capita, and urbanization rate for 191 countries from 1975-2016. Autoregressive integrated moving average model, standard deviational ellipse model and mixed-effects models were used to explore spatial-temporal trends of childhood overweight and obesity and associations with gross national income per capita and urbanization rate.

RESULTS

Globally, childhood overweight and obesity rate would reach 30.0% in 2030 (boys: 34.2%, girls: 27.4%). By 2030, it would reach 58.3% in middle- and high-income countries and 68.1% in Western Pacific region. Spatial-temporal trendline for childhood overweight and obesity in 1975-2030 exhibited a "C" shape, migrating from 1975 (15.6。E, 24.6。N) to 2005 (10.6。E, 21.7。N), then to 2030 (14.8。E, 17.4。N). The trendline for urbanization rate was also an irregular "C", and the turning point appeared five years earlier than childhood overweight and obesity.

CONCLUSIONS

Globally, childhood overweight and obesity prevalence will continue to increase. Its weight mean center migrated from western countries to Asia and Africa following economic development.

Cultural Challenges to Weight Management: A Qualitative Study of Saudi Women's Experiences

PURPOSE

To explore and describe the experiences of Saudi women with obesity regarding cultural barriers that prevent them from following dietary and physical activity recommendations.

DESIGN

Phenomenological qualitative study.

METHODS

A focus group (4 participants) and individual interviews (13 participants) were conducted from seventeen women participating in a nutrition and weight management program.

FINDINGS

Several themes were identified based on experiences and consequences of cultural restraints.

CONCLUSIONS

Findings provide an understanding of how cultural factors impede Saudi women with obesity from achieving effective weight management.

CLINICAL EVIDENCE

Designing weight management programs that are individualized and consider the differences in how women are culturally affected provide more effective interventions for women with obesity.

Global inequalities in the double burden of malnutrition and associations with globalisation: a multilevel analysis of Demographic and Healthy Surveys from 55 low-income and middle-income countries, 1992–2018

Background

Low-income and middle-income countries (LMICs) face a double burden of malnutrition (DBM), whereby overnutrition and undernutrition coexist within the same individual, household, or population. This analysis investigates global inequalities in household-level DBM, expressed as a stunted child with an overweight mother, and its association with economic, social, and political globalisation across country income and household wealth.

Methods

We pooled anthropometric and demographic data for 1 132 069 children (aged <5 years) and their mothers (aged 15–49 years) from 189 Demographic and Health Surveys in 55 LMICs between 1992 and 2018. These data were combined with country-level data on economic, social, and political globalisation from the Konjunkturforschungsstelle Globalisation Index and gross national income (GNI) from the World Bank. Multivariate associations between DBM and household wealth, GNI, and globalisation and their interactions were tested using multilevel logistic regression models with country and year fixed-effects and robust standard errors clustered by country.

Findings

The probability of DBM was higher among richer households in poorer LMICs and poorer households in richer LMICs. Economic globalisation was associated with higher odds of DBM among the poorest households (odds ratio 1·49, 95% CI 1·20–1·86) compared with the richest households. These associations attenuated as GNI increased. Social globalisation was associated with higher odds of DBM (1·39, 95% CI 1·16–1·65), independently of household wealth or country income. No associations were identified between political globalisation and DBM.

Interpretation

Increases in economic and social globalisation were associated with higher DBM, although the impacts of economic globalisation were mostly realised by the world's poorest. The economic patterning of DBM observed in this study calls for subpopulation-specific double-duty actions, which should further aim to mitigate the potential negative and unequal impacts of globalisation.

Funding

UK Biotechnology and Biological Sciences Research Council.

Translations

For the Spanish and Portuguese translations of the abstract see Supplementary Materials section.

Multilevel analysis of unhealthy bodyweight among women in Malawi: Does urbanisation matter?

BACKGROUND

Underweight and overweight constitute unhealthy bodyweight and their coexistence is symptomatic of the dual burden of malnutrition (DBM) of high public health concern in many sub-Saharan Africa countries. Little is known about DBM and its correlates in Malawi, a country undergoing urbanisation. The study examined net effects of urban residence on unhealthy weights amidst individual- and community-level factors among women in Malawi.

METHODS

Data on 7231 women aged 15-49 years nested within 850 communities extracted from 2015-16 Malawi Demographic and Health Survey were analysed. Women's weight status measured by body mass index, operationally categorised as underweight, normal and overweight, was the outcome variable while urban-rural residence was the main explanatory variable. Multilevel multinomial logistic regression analysis was employed at 5% significant level; the relative-risk ratio (RR) and its 95% confidence interval (CI) were presented.

RESULTS

Urban residents had a significantly higher prevalence of overweight than rural (36.4% vs. 17.2%; p< 0.001) but a -non-significant lower prevalence of underweight (6.2% vs. 7.4%; p = 0.423). Having adjusted for both individual- and community-level covariates, compared to rural, living in urban (aRR = 1.25; CI: 1.02-1.53) accounted for about 25% higher risk of being overweight relative to normal weight. Higher education attainment, being married and belonging to Chewa, Lomwe or Mang'anja ethnic group significantly reduced the risk of being underweight but heightened the risk of being overweight. Being older and living in wealthier households respectively accounted for about 3- and 2-times higher likelihood of being overweight, while breastfeeding (aRR = 0.65; CI: 0.55-0.76) was protective against overweight. Living in communities with higher poverty and higher education levels reduced and increased the risk of being overweight, respectively. Evidence of community's variability in unhealthy weights was observed in that 11.1% and 3.0% respectively of the variance in the likelihood of being overweight and underweight occurred across communities.

CONCLUSIONS

The study demonstrated association between urban residence and women overweight. Other important associated factors of overweight included breastfeeding, community education- and poverty-level, while education attainment, marital status and ethnicity were associated with the dual unhealthy weight. Thus, both individual- and community-level characteristics are important considerations for policy makers in designing interventions to address DBM in Malawi.

Prevalence of Overweight and Obesity in US-Bound Refugees: 2009-2017

Refugees are an often understudied population and vulnerable to poor health outcomes. No large-scale analyses have evaluated the prevalence of overweight and obesity in US-bound refugees. Using data obtained from the Centers for Disease Control (CDC) Electronic Disease Notification system, we quantified the prevalence of overweight and obesity in adult US-bound refugees by nationality from 2009 through 2017. This repeated cross-sectional analysis used CDC data to quantify and examine body mass index (BMI) trends in US-bound adult refugees during 2009-2017. Utilizing data from an overseas medical exam required for all US-bound refugees, we determined BMI for 334,746 refugees ≥ 18 years old who arrived in the United States during January 1, 2009-December 31, 2017. We calculated and compared the prevalence of overweight and obesity as well as changes in demographic characteristics (age, sex, and nationality) by year. Adjusted prevalence and prevalence ratios (APR) for yearly trends were assessed using a modified Poisson regression model with robust error variances. After adjusting for age, sex, and nationality, we observed a significant linear trend in the prevalence of overweight/obesity with an average annual relative percent increase of 3% for refugees entering the United States from 2009 through 2017 (APR = 1.031; 95% CI 1.029-1.033). The adjusted prevalence of overweight/obesity increased from 35.7% in 2009 to 44.7% in 2017. The prevalence of overweight and obesity in US-bound refugees increased steadily over the analysis period. Investigation into pre-migration and post-resettlement interventions is warranted.

Developing a Screening Tool for Young Children Using an Ecological Framework

Young children from impoverished backgrounds experience high levels of family and environmental stress, adversely impacting developmental functioning. Early identification provides a pathway to solutions, but many children are never assessed. In addition, the child-serving workforce lacks resources and expertise to use traditional measures. Furthermore, existing measures do not account for the substantial influence of a child's ecology. To bridge these gaps, we developed the Neurodevelopmental Ecological Screening Tool (NEST) and conducted a pilot study (n=60) to test its feasibility for use with caregivers of children ages 3-5 in low-resource settings. We developed an item pool across three domains (child, caregiver, environment), vetted it with experts, and conducted cognitive interviewing with parents (n=15) and case managers (n-10). Simultaneously, we built an online, user-friendly delivery platform. We used a one parameter Item Response Model and a Rasch-based Rating Scale Model (RSM) and fit confirmatory factor analytic (CFA) models to test for unidimensional and construct validity. The results support the feasibility of screening children from low SES populations within low-resource settings using an ecological perspective and supports the work of child-serving paraprofessionals in identifying and addressing risks in the lives of young children.

Prevalence of Underweight and Its Associated Factors among Reproductive Age Group Women in Ethiopia: Analysis of the 2016 Ethiopian Demographic and Health Survey Data

Background

Underweight is defined as being below the healthy weight range. Underweight in reproductive age group women not only affects women but also increases the risk of an intergenerational cycle of malnutrition and child mortality. Various factors are linked with underweight among women. However, studies on the prevalence of underweight and its associated factors among women are limited in Ethiopia. Hence, this study aimed to assess the prevalence of underweight and its associated factors among reproductive age group women in Ethiopia.

Methods

For this study, data were drawn from the 2016 Ethiopian demographic and health survey (EDHS). From the total, 15,683 women participants of the 2016 EDHS; a subsample of 2,848 participants aged 15-49 years who had a complete response to all variables of interest were selected and utilized for analysis. Data were analyzed using SPSS version 20 software program. Pearson's chi-squared test was used to assess the frequency distribution of underweight and is presented with different sociodemographic characteristics. Logistic regression models were applied for analysis. A two-sided p value of less than 0.05 was used to declare a statistically significant association between the independent variables and underweight among women.

Results

The prevalence of underweight among reproductive age group women in Ethiopia was 17.6%. The majority, 78.3% of underweight women, were rural dwellers. The odds of being underweight was higher among the young aged women, among those residing in rural areas, in those with higher educational status, and in those who have one or more children. On the other hand, the odds of underweight among respondents living in Benishangul, SNNPR, and Addis Ababa were less compared to those living in Dire Dawa. Similarly, the odds of underweight among participants with a higher level of husband or partner educational status and among those who chew Khat were less compared to their counterparts.

Conclusion

Underweight among reproductive age group women in Ethiopia is still a major public health problem, particularly among rural dwellers. Underweight was significantly associated with different sociodemographic variables. Hence, context-based awareness creation programs need to be designed on the prevention methods of underweight in Ethiopia, giving especial emphasis to those residing in rural areas.

The Co-Occurrence of Overweight and Micronutrient Deficiencies or Anemia among Women of Reproductive Age in Malawi

BACKGROUND

In low-resource settings, urbanization may contribute to the individual-level double burden of malnutrition (DBM), whereby under- and overnutrition co-occur within the same individuals.

OBJECTIVE

We described DBM prevalence among Malawian women by urban-rural residence, examined whether urban residence was associated with DBM, and assessed whether DBM prevalence was greater than the prevalence expected by chance given population levels of under- and overnutrition, which would suggest DBM is a distinct phenomenon associated with specific factors.

METHODS

We analyzed nationally representative data of 723 nonpregnant women aged 15-49 y from the 2015-2016 Malawi Micronutrient Survey. DBM was defined as co-occurring overweight or obesity (OWOB) and ≥1 micronutrient deficiency or anemia. We used Poisson regression models to examine the association between urban residence and DBM and its components. The Rao-Scott modified chi-square test compared the observed and expected DBM prevalence.

RESULTS

Nationally, 10.8% (95% CI: 7.0, 14.5) of women had co-occurring OWOB and any micronutrient deficiency and 3.4% (95% CI: 1.3, 5.5) had co-occurring OWOB and anemia. The prevalence of co-occurring OWOB and any micronutrient deficiency was 2 times higher among urban women than rural women [urban 32.6 (24.1, 41.2) compared with rural 8.6 (5.2, 11.9), adjusted prevalence ratio: 2.0 (1.1, 3.5)]. Co-occurring OWOB and anemia prevalence did not significantly differ by residence [urban 6.9 (0.6, 13.2) compared with rural 3.0 (0.8, 5.3)]. There were no statistically significant differences in observed and expected prevalence estimates of DBM.

CONCLUSIONS

This analysis shows that co-occurring OWOB and any micronutrient deficiency was higher among women in urban Malawi compared with rural areas. However, our finding that co-occurring OWOB and any micronutrient deficiency or anemia may be due to chance suggests that there may not be common causes driving DBM in Malawian women. Thus, there may not be a need to design and target interventions specifically for women with DBM.

A scoping review on economic globalization in relation to the obesity epidemic

This study reviewed evidence linking economic globalization to the obesity epidemic. Keyword/reference search was performed in PubMed, Web of Science, Cochrane Library, Scopus, EconLit, Google Scholar, and BMC Globalization and Health. A total of 16 studies were identified, in which six adopted a cross-sectional study design, nine adopted a longitudinal study design, and the remaining one adopted a case-control study design. Thirteen studies assessed the relationship between economic globalization and obesity at the country level, whereas the remaining three analyzed individual-level data. Fourteen studies found at least one aspect and/or measure of economic globalization to be positively associated with overweight/obesity, one found an inverse association, and the remaining one reported a null finding. Through market deregulation, tariff reduction, and investment liberalization, economic globalization tends to accelerate the market entry of modern food manufacturers, supermarket chains, and fast-food restaurants, resulting in substantially increased supply of high-sugar/fat energy-dense foods with enhanced variety and accessibility and reduced price. The potential impact of economic globalization on obesity through the adoption of modern workplace and domestic technologies and motorized transportation and through changes in social norms and culture were hypothesized in the literature but not empirically examined, which warrants future data-driven research.

The Rise of Noncommunicable Diseases in Kenya: An Examination of the Time Trends and Contribution of the Changes in Diet and Physical Inactivity

This study examined correlations of historical changes in diet and physical inactivity with the rise of noncommunicable diseases (NCDs) in Kenya. Historical data on diet, wage jobs by industry, urbanization, gross domestic product (GDP), and morbidity due to NCDs were extracted from Kenya Statistical Abstracts, Food and Agriculture Organization (FAOSTAT), and the World Bank online database. These data were plotted and correlations between these factors and the incidence of different NCDs over time were evaluated. There was a rapid rise in the incidence of circulatory disease starting in 2001, and of hypertension and diabetes starting in 2008. The rise of these NCDs, especially hypertension and diabetes, was accompanied over the same period by a rise in per capita GDP and physical inactivity (as measured by increased urbanization and declining proportion of agricultural and forestry wage jobs); a rise in per capita supply of rice, wheat and its products, and cooking oils; and a decline in the per capita supply of maize and sugar. In conclusion, the positive correlations between indicators of dietary consumption and physical inactivity and rates of hypertension, circulatory disease, and diabetes suggest that the rapid rise of NCDs in Kenya may be, in part, due to changes in these modifiable factors.

Agricultural trade policies and child nutrition in low- and middle-income countries: a cross-national analysis

BACKGROUND

There has been growing interest in understanding the role of agricultural trade policies in diet and nutrition. This cross-country study examines associations between government policies on agricultural trade prices and child nutrition outcomes, particularly undernutrition.

METHODS

This study links panel data on government distortions to agricultural incentives to data from 212,258 children aged 6 to 35 months participating in Demographic and Health Surveys from 22 countries between 1991 and 2010. Country fixed-effects regression models were used to examine the association between within-country changes in nominal rates of assistance to tradable agriculture (government price distortions as a percentage of original prices) and child nutritional outcomes (height-for-age, weight-for-age, and weight-for-height Z-scores) while controlling for a range of time-varying country covariates.

RESULTS

Five-year average nominal rates of assistance to tradable agriculture ranged from - 72.0 to 45.5% with a mean of - 5.0% and standard deviation of 18.9 percentage points. A 10-percentage point increase in five-year average rates of assistance to tradable agriculture was associated with improved height-for-age (0.02, 95% CI: 0.00-0.05) and weight-for-age (0.05, 95% CI: 0.02-0.09) Z-scores. Improvements in nutritional status were greatest among children who had at least one parent earning wages in agriculture, and effects decreased as a country's proportion of tradable agriculture increased, particularly for weight-for-age Z-scores.

CONCLUSIONS

Government assistance to tradable agriculture, such as through reduced taxation, was associated with small but significant improvements in child nutritional status, especially for children with a parent earning wages in agriculture when the share of tradable agriculture was not high.

Economic globalization, nutrition and health: a review of quantitative evidence

Background

Unhealthy dietary patterns have in recent decades contributed to an endemic-level burden from non-communicable disease (NCDs) in high-income countries. In low- and middle-income countries rapid changes in diets are also increasingly linked to malnutrition in all its forms as persistent undernutrition and micronutrient deficiencies continue to coexist with a rising prevalence of obesity and associated NCDs. Economic globalization and trade liberalization have been identified as potentially important factors driving these trends, but the mechanisms, pathways and actual impact are subject to continued debate.

Methods

We use a ‘rigorous review’ to synthesize evidence from empirical quantitative studies analysing the links between economic globalization processes and nutritional outcomes, with a focus on impact as well as improving the understanding of the main underlying mechanisms and their interactions.

Findings

While the literature remains mixed regarding the impacts of overall globalization, trade liberalization or economic globalization on nutritional outcomes, it is possible to identify different patterns of association and impact across specific sub-components of globalization processes. Although results depend on the context and methods of analysis, foreign direct investment (FDI) appears to be more clearly associated with increases in overnutrition and NCD prevalence than to changes in undernutrition. Existing evidence does not clearly show associations between trade liberalization and NCD prevalence, but there is some evidence of a broad association with improved dietary quality and reductions in undernutrition. Socio-cultural aspects of globalization appear to play an important yet under-studied role, with potential associations with increased prevalence of overweight and obesity. The limited evidence available also suggests that the association between trade liberalization or globalization and nutritional outcomes might differ substantially across population sub-groups.

Overall, our findings suggest that policymakers do not necessarily face a trade-off when considering the implications of trade or economic liberalization for malnutrition in all its forms. On the contrary, a combination of nutrition-sensitive trade policy and adequate regulation of FDI could help reduce all forms of malnutrition. In the context of trade negotiations and agreements it is fundamental, therefore, to protect the policy space for governments to adopt nutrition-sensitive interventions.

Electronic supplementary material

The online version of this article (10.1186/s12992-019-0456-z) contains supplementary material, which is available to authorized users.

Prevalence of breast cancer-related risk factors in underweight premenopausal women: the Korea National Health and Nutrition Examination Survey IV-VI

PURPOSE

This study aimed to examine the prevalence and trends of breast cancer-related risk factors and characteristics in premenopausal underweight Korean women according to birth year cohort.

METHODS

Socioeconomic and breast cancer-related risk factors were investigated in 13,415 premenopausal women using nationwide cross-sectional surveys performed between 2007 and 2015. Underweight was defined as body mass index < 18.5 kg/m². Multivariable models were created using complex sample procedures.

RESULTS

Underweight women comprised 9.5% of the sample. Compared with those who were obese or of normal weight, underweight women were characterized by younger age, higher rate of metropolitan residence, higher economic status, more education, higher rates of non-manual employment and unmarried status, lower rate of early menarche, higher rates of nulliparity, lower parity, alcohol consumption, and never having breastfed, and lower levels of high physical activity. Multivariable analysis showed that underweight women had a significantly lower rate of early menarche, lower parity, higher nulliparity, older age at first delivery, and lower levels of high physical activity compared to premenopausal women with normal weight. These trends were more apparent among women born in recent years.

CONCLUSIONS

Underweight Korean premenopausal women exhibit distinctive features associated with an increased risk of breast cancer, except for a lower rate of early menarche. These associations were prominent in recent generations. Assessment of the association between underweight and premenopausal breast cancer risk should focus on promoting healthy lifestyles to reduce breast cancer risk.

Analyzing the impacts of global trade and investment on non-communicable diseases and risk factors: a critical review of methodological approaches used in quantitative analyses

Background

A key mechanism through which globalization has impacted health is the liberalization of trade and investment, yet relatively few studies to date have used quantitative methods to investigate the impacts of global trade and investment policies on non-communicable diseases and risk factors. Recent reviews of this literature have found heterogeneity in results and a range of quality across studies, which may be in part attributable to a lack of conceptual clarity and methodological inconsistencies.

Methods

This study is a critical review of methodological approaches used in the quantitative literature on global trade and investment and diet, tobacco, alcohol, and related health outcomes, with the objective of developing recommendations and providing resources to guide future robust, policy relevant research. A review of reviews, expert review, and reference tracing were employed to identify relevant studies, which were evaluated using a novel quality assessment tool designed for this research.

Results

Eight review articles and 34 quantitative studies were identified for inclusion. Important ways to improve this literature were identified and discussed: clearly defining exposures of interest and not conflating trade and investment; exploring mechanisms of broader relationships; increasing the use of individual-level data; ensuring consensus and consistency in key confounding variables; utilizing more sector-specific versus economy-wide trade and investment indicators; testing and adequately adjusting for autocorrelation and endogeneity when using longitudinal data; and presenting results from alternative statistical models and sensitivity analyses. To guide the development of future analyses, recommendations for international data sources for selected trade and investment indicators, as well as key gaps in the literature, are presented.

Conclusion

More methodologically rigorous and consistent approaches in future quantitative studies on the impacts of global trade and investment policies on non-communicable diseases and risk factors can help to resolve inconsistencies of existing research and generate useful information to guide policy decisions.

Electronic supplementary material

The online version of this article (10.1186/s12992-018-0371-8) contains supplementary material, which is available to authorized users.

The weight of work: the association between maternal employment and overweight in low- and middle-income countries

Background

Maternal employment has increased in low-and middle-income countries (LMIC) and is a hypothesized risk factor for maternal overweight due to increased income and behavioral changes related to time allocation. However, few studies have investigated this relationship in LMIC.

Methods

Using cross-sectional samples from Demographic and Health Surveys, we investigated the association between maternal employment and overweight (body mass index [BMI] ≥ 25 kg/m²) among women in 38 LMIC (N = 162,768). We categorized mothers as formally employed, informally employed, or non-employed based on 4 indicators: employment status in the last 12 months; aggregate occupation category (skilled, unskilled); type of earnings (cash only, cash and in-kind, in-kind only, unpaid); and seasonality of employment (all year, seasonal/occasional employment). Formally employed women were largely employed year-round in skilled occupations and earned a wage (e.g. professional), whereas informally employed women were often irregularly employed in unskilled occupations and in some cases, were paid in-kind (e.g. domestic work). For within-country analyses, we used adjusted logistic regression models and included an interaction term to assess heterogeneity in the association by maternal education level. We then used meta-analysis and meta-regression to explore differences in the associations pooled across countries.

Results

Compared to non-employed mothers, formally employed mothers had higher odds of overweight (pooled odds ratio [POR] = 1.3; 95% Confidence Interval [CI] 1.2, 1.4) whereas informally employed mothers, compared to non-employed mothers, had lower odds of overweight (POR = 0.72; 95% CI: 0.64, 0.81). In 14 LMIC, the association varied by education. In these countries, the magnitude of the formal employment-overweight association was larger for women with low education (POR = 1.5; 95% CI: 1.1, 1.9) compared to those with high education (POR = 1.2; 95% CI: 1.0, 1.3).

Conclusions

Formally employed mothers in LMIC have higher odds of overweight and the association varies by educational attainment in 14 countries. This knowledge highlights the importance of workplace initiatives to reduce the risk of overweight among working women in LMIC.

Electronic supplementary material

The online version of this article (doi:10.1186/s12966-017-0522-y) contains supplementary material, which is available to authorized users.

Effect of national wealth on BMI: An analysis of 206,266 individuals in 70 low-, middle- and high-income countries

BACKGROUND

This study explores the relationship between BMI and national-wealth and the cross-level interaction effect of national-wealth and individual household-wealth using multilevel analysis.

METHODS

Data from the World Health Survey conducted in 2002-2004, across 70 low-, middle- and high-income countries was used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as outcome variable. The potential determinants of individual-level BMI were participants' sex, age, marital-status, education, occupation, household-wealth and location(rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP) and income inequality (Gini-index). A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries was fitted, treating BMI as a continuous outcome.

RESULTS

The weighted mean BMI and standard-error of the 206,266 people from 70-countries was 23.90 (4.84). All the low-income countries were below the 25.0 mean BMI level and most of the high-income countries were above. All wealthier quintiles of household-wealth had higher scores in BMI than lowest quintile. Each USD10000 increase in GNI-PPP was associated with a 0.4 unit increase in BMI. The Gini-index was not associated with BMI. All these variables explained 28.1% of country-level, 4.9% of individual-level and 7.7% of total variance in BMI. The cross-level interaction effect between GNI-PPP and household-wealth was significant. BMI increased as the GNI-PPP increased in first four quintiles of household-wealth. However, the BMI of the wealthiest people decreased as the GNI-PPP increased.

CONCLUSION

Both individual-level and country-level factors made an independent contribution to the BMI of the people. Household-wealth and national-income had significant interaction effects.

Evaluating Public Health Interventions: 5. Causal Inference in Public Health Research-Do Sex, Race, and Biological Factors Cause Health Outcomes?

Counterfactual frameworks and statistical methods for supporting causal inference are powerful tools to clarify scientific questions and guide analyses in public health research. Counterfactual accounts of causation contrast what would happen to a population's health under alternative exposure scenarios. A long-standing debate in counterfactual theory relates to whether sex, race, and biological characteristics, including obesity, should be evaluated as causes, given that these variables do not directly correspond to clearly defined interventions. We argue that sex, race, and biological characteristics are important health determinants. Quantifying the overall health effects of these variables is often a natural starting point for disparities research. Subsequent assessments of biological or social pathways mediating those effects can facilitate the development of interventions designed to reduce disparities.

Adverse Childhood Experiences: Expanding the Concept of Adversity

INTRODUCTION

Current knowledge of Adverse Childhood Experiences (ACEs) relies on data predominantly collected from white, middle- / upper-middle-class participants and focuses on experiences within the home. Using a more socioeconomically and racially diverse urban population, Conventional and Expanded (community-level) ACEs were measured to help understand whether Conventional ACEs alone can sufficiently measure adversity, particularly among various subgroups.

METHODS

Participants from a previous large, representative, community-based health survey in Southeast Pennsylvania who were aged ≥18 years were contacted between November 2012 and January 2013 to complete another phone survey measuring ACEs. Ordinal logistic regression models were used to test associations between Conventional and Expanded ACEs scores and demographic characteristics. Analysis was conducted in 2013 and 2014.

RESULTS

Of 1,784 respondents, 72.9% had at least one Conventional ACE, 63.4% at least one Expanded ACE, and 49.3% experienced both. A total of 13.9% experienced only Expanded ACEs and would have gone unrecognized if only Conventional ACEs were assessed. Certain demographic characteristics were associated with higher risk for Conventional ACEs but were not predictive of Expanded ACEs, and vice versa. Few adversities were associated with both Conventional and Expanded ACEs.

CONCLUSIONS

To more accurately represent the level of adversity experienced across various sociodemographic groups, these data support extending the Conventional ACEs measure.

Transcultural Diabetes Nutrition Algorithm: Brazilian Application

The prevalence of obesity, pre-diabetes, and type 2 diabetes (T2D) is increasing worldwide, especially in the developing nations of South America. Brazil has experienced an exponential increase in the prevalence of these chronic non-communicable diseases. The rising prevalence is probably due to changing eating patterns, sedentary living, and a progressive aging of the population. These trends and their underlying causes carry untoward consequences for all Brazilians and the future of Brazilian public health and the healthcare system. Lifestyle changes that include healthy eating (nutrition therapy) and regular physical activity (structured exercise) represent efficient inexpensive measures to prevent and/or treat the aforementioned disorders and are recommended for all afflicted patients. Regrettably, the implementation of lifestyle changes is fraught with clinical and personal challenges in real life. The transcultural Diabetes Nutrition Algorithm (tDNA) is a therapeutic tool intended to foster implementation of lifestyle recommendations and to improve disease-related outcomes in common clinical settings. It is evidence-based and amenable to cultural adaptation. The Brazilian Diabetes Association, Society of Cardiology and Ministry of Health guidelines for nutrition therapy and physical exercise were considered for the Brazilian adaptation. The resultant tDNA-Brazil and its underlying recommendations are presented and explained.

Recent underweight and overweight trends by rural-urban residence among women in low- and middle-income countries

BACKGROUND

Long-term trends mask critical recent dynamics in the prevalence of under- and overweight.

OBJECTIVE

The objective of this study was to compare annualized prevalence rates of both under- and overweight among nonpregnant women aged 19-49 y during the periods covering 1) the 1990s-the early 2000s and 2) the early 2000s-the late 2000s or early 2010s, by rural-urban residence.

METHODS

Data are from nationally representative surveys (29 Demographic and Health Surveys and 4 national surveys). Standardized protocols were used to measure weight and height. Underweight was defined as body mass index (BMI) < 18.5 kg/m(2) and overweight as BMI ≥ 25 kg/m(2).

RESULTS

From the 1990s to the early 2000s, most countries were making progress on decreasing the prevalence of underweight, especially in rural areas. Although many countries continued to make progress more recently, several countries in Sub-Saharan Africa that previously had a decreasing prevalence of underweight now have an increasing prevalence of underweight. For example, in rural areas of Senegal, the prevalence of underweight decreased 0.23% annually between 1992 and 2005, then increased 1.60% annually between 2005 and 2010. Meanwhile, the prevalence of overweight is increasing in nearly all countries, and in approximately half of all countries, the rate of increase is greater in rural areas than in urban areas. Although underweight persists as more prevalent than overweight in rural areas of many East Asian, South Asian, and Sub-Saharan African countries, the ratio of underweight to overweight in many countries has decreased over time, indicating that this trend is reversing.

CONCLUSIONS

Select countries in Sub-Saharan Africa may be more susceptible to food crises and should be targets for intervention. At the same time, global health efforts need to focus on preventing overweight, particularly in rural areas, which are quickly catching up to their urban counterparts.

National economic development and disparities in body mass index: a cross-sectional study of data from 38 countries

BACKGROUND

Increases in body mass index (BMI) and the prevalence of overweight in low- and middle income countries (LMICs) are often ascribed to changes in global trade patterns or increases in national income. These changes are likely to affect populations within LMICs differently based on their place of residence or socioeconomic status (SES).

OBJECTIVE

Using nationally representative survey data from 38 countries and national economic indicators from the World Bank and other international organizations, we estimated ecological and multilevel models to assess the association between national levels of gross domestic product (GDP), foreign direct investment (FDI), and mean tariffs and BMI.

DESIGN

We used linear regression to estimate the ecological association between average annual change in economic indicators and BMI, and multilevel linear or ordered multinomial models to estimate associations between national economic indicators and individual BMI or over- and underweight. We also included cross-level interaction terms to highlight differences in the association of BMI with national economic indicators by type of residence or socioeconomic status (SES).

RESULTS

There was a positive but non-significant association of GDP and mean BMI. This positive association of GDP and BMI was greater among rural residents and the poor. There were no significant ecological associations between measures of trade openness and mean BMI, but FDI was positively associated with BMI among the poorest respondents and in rural areas and tariff levels were negatively associated with BMI among poor and rural respondents.

CONCLUSION

Measures of national income and trade openness have different associations with the BMI across populations within developing countries. These divergent findings underscore the complexity of the effects of development on health and the importance of considering how the health effects of "globalizing" economic and cultural trends are modified by individual-level wealth and residence.