The double burden of under- and overnutrition among Bangladeshi women: Socioeconomic and community-level inequalities

Overnutrition and associated factors among women of reproductive age in Sub-Saharan Africa: A hierarchical analysis of 2019-2023 standard demographic and health survey data

OBJECTIVES

Overnutrition, a leading cause of global mortality, has seen a significant rise in low- and middle-income countries, including sub-Saharan Africa. Despite emerging evidence linking overnutrition to non-communicable diseases, limited action has been taken to address this issue. While undernutrition studies have received more attention, research on overnutrition and women's health remains scarce in sub-Saharan Africa. Our study aims to assess the prevalence and associated factors of overnutrition among reproductive women in this region METHODS: We conducted a secondary analysis of 2019-2023 Demographic and Health Survey datasets in sub-Saharan Africa. Our study included a weighted sample of 65,161 women aged 15-49 y. Using a multilevel mixed-effects logistic regression model, we identified factors associated with overnutrition. The adjusted odds ratio, along with a 95% confidence interval and a significance level of p < 0.05, determined the statistical significance of the explanatory variables.

RESULTS

The pooled prevalence of overnutrition among women of reproductive age in sub-Saharan Africa was 34.79% (95% CI: 34.42-35.16). Specifically, the prevalence of overweight and obesity was 21.81% and 12.99%, respectively. Women's educational status, age, media use, household wealth, urbanization, community poverty, and country income level were significantly associated with higher odds of overnutrition.

CONCLUSIONS

The prevalence of overnutrition among women of reproductive age in sub-Saharan Africa is relatively high. Key factors associated with this issue include women's educational status, age, media utilization, household wealth, place of residence, community poverty level, and national income status. These multilevel determinants highlight the need for a comprehensive, evidence-based approach to address overnutrition in this population. Effective strategies should target individual behaviors while considering broader social, economic, and environmental contexts. Integrating overnutrition prevention into maternal and reproductive health services, as well as strengthening social protection measures, are recommended steps to tackle this growing challenge in sub-Saharan Africa.

Anthropometry in predicting Semitendinosus and Gracilis graft diameter for arthroscopic ACL reconstruction among the Bengali population

Semitendinosus and Gracilis autografts are commonly used for anterior cruciate ligament (ACL) reconstruction. However, its main drawback is individual variation in the tendon diameter. This study aimed to evaluate the usefulness of the anthropometric measurements for the prediction of Semitendinosus and Gracilis combined (quadrupled) strands graft diameter in arthroscopic ACL reconstruction among the Bengali population. Sixty consecutive patients who underwent ACL reconstruction between July 2019 to June 2020 were observed in this cross-sectional study. In all cases, the doubled (2 strands) Gracilis and Semitendinosus tendons were combined to get the final quadrupled (combined 4 strands) graft for use. Anthropometries such as body mass index (BMI), body weight, and height were recorded preoperatively and quadrupled combined tendon diameter was measured at the operating theater. The relationship between these parameters was statistically determined using the Pearson correlation coefficient, and scatter diagrams were plotted. Among the study subjects, most (54) were male, and the mean age of all subjects was 24 ± 6.92 years. The average graft diameter was 7.20 ± 0.76 mm. Correlations between the mean graft diameter with BMI (r = 0.018, and P = .891), body height (r = 0.011 and P = .933), and weight (r = 0.028 and P = .832) were not significant. Scatter diagrams also showed that the variables were not correlated. Anthropometries like BMI, body weight, or body height cannot be used in predicting Semitendinosus and Gracilis tendon graft diameter for arthroscopic ACL reconstruction among the Bengali population.

Rural-urban disparities in nutritional status among women in Ethiopia based on HIV serostatus: a cross-sectional study using demographic and health survey data

BACKGROUND

Ethiopia is one of the sub-Saharan African countries most affected by the human immunodeficiency virus (HIV) epidemic and also by severe undernutrition, which is particularly prevalent among women. HIV infection, reproductive biology, and their role in society increase the vulnerability of women to malnutrition. Various factors including urbanization could cause differences in the nutritional status of rural and urban residents. In this study, we aimed to assess rural-urban disparities in nutritional status among women of reproductive age based on HIV serostatus in Ethiopia.

METHOD

Data from the Ethiopian Demographic and Health Survey (EDHS) conducted in 2016 were used. Among 15,683 women included in the survey, 8822 non-pregnant women aged 15-49 years, including those who gave birth two months before the DHS survey were included in this study. Multinomial logistic regression was used to determine the relative risk ratios (RRR) for the associations between study variables.

RESULTS

Generally, the prevalence of underweight among women of reproductive age was higher in rural residents (28.9%) than in urban residents (12.3%) in Ethiopia. Being overweight was more prevalent among urban women than rural women, (35.1% vs. 4.8%). About 32% of HIV-positive women were underweight in both rural and urban areas. About 29% of HIV-positive urban women were overweight compared to 3.4% of HIV-positive rural women. Among urban residents, HIV-positive women were about 4 times more likely to be underweight than their HIV-negative counterparts, RRR 3.8 (95% CI: 1.58, 9.26). However, there was no significant difference in nutritional status between HIV-positive and HIV-negative women living in rural areas. Anemic women were more likely to be underweight while, wealthy women were less likely to be underweight in both rural and urban areas. Women aged 25-49 years were generally more likely to be overweight/obese and less likely to be underweight compared to younger women aged [Formula: see text]years.

CONCLUSION

Malnutrition was more prevalent among HIV-positive women living in urban Ethiopia. Targeted nutritional interventions for HIV-positive women of reproductive age living in urban areas could be considered. Furthermore, efforts should be made to improve the nutritional status of women of reproductive age across the country.

Nutritional status of tribal and non-tribal adults in rural Bangladesh: A comparative study

BACKGROUND

Nutritional status is an important indicator of health status among adults. However, to date, there exists scanty information on the nutritional status of tribal populations of Bangladesh. The aim of the study was to investigate the nutritional status of tribal (T) and non-tribal (NT) adult people living in the rural area of Rajshahi district, Bangladesh.

METHODS

A total of 420 (72 T and 348 NT) households were studied. The samples were selected using multistage stratified sampling with proportional allocation. The nutritional status of adults was measured using body mass index (BMI). Descriptive statistics, t-test, ANOVA and Z-proportional test were utilized for data analysis.

RESULTS

The study revealed that 8.3% and 9.2% of T and NT men were suffering from under nutrition respectively, while the corresponding figures in women were 12.5% and 10.1% respectively. Overall, 11.1% and 27.0% men, and 13.9% and 29.3% women T and NT were over-nourished respectively. The rate of over nutrition among T was significantly (p<0.05) higher than NT for both sexes. The mean weight and BMI of the NT men were significantly (p<0.01) higher than T men. The mean weight, height and BMI of NT women were higher (p<0.05) than T women. ANOVA demonstrated that the variation in BMI among education levels of NT men and the variation among occupation for both ethnicities were significant (p<0.01). The variation in BMI among education levels and occupation of T and NT women were significant (p<0.05), moreover ordinal logistic regression model demonstrated that hygienic toilet facilities and father's occupation were predictors of nutritional status. The interaction effects of education and occupation, and education and household monthly income on BMI were significant (p<0.01) for T men and both T and NT women (p<0.05).

CONCLUSIONS

The prevalence of over-nutrition among NT is higher than T for both sexes. Some socio-economic and demographic factors were found as predictors of malnutrition. At least 12 of the 17 Sustainable Development Goals (SDGs) contain indicators that are highly related to nutrition, our findings can help Bangladesh Government for achieving SDGs by 2030. Appropriate nutritional intervention and awareness programmes can be initiated by the Government to ameliorate the burden of malnutrition among adults in the country.

Double burden of malnutrition among women of reproductive age in Bangladesh: A comparative study of classical and Bayesian logistic regression approach

Although the prevalence of undernutrition among women of reproductive age has declined in Bangladesh, the increase in the prevalence of overnutrition remains a major challenge. To achieve Sustainable Development Goal 2.2, it is important to identify the drivers of the double burden of malnutrition on women in Bangladesh. The Bangladesh Demographic and Health Survey, 2017-2018 was used to model the relationship between the double burden of malnutrition among women and the risk factors using a logistic regression model under the classical and Bayesian frameworks and performed the comparison between the regression models based on the narrowest confidence interval. Regarding the Bayesian application, the Metropolis-Hastings algorithm with two types of prior information (historical and noninformative prior) was used to simulate parameter estimates from the posterior distributions. The Boruta algorithm was used to determine the significant predictors. Almost half of reproductive aged women experienced a form of malnutrition (12% were underweight, 26.1% were overweight, and 6.8% were obese). In terms of the narrowest interval estimate, it was found that Bayesian logistic regression with informative priors performs better than the noninformative priors and the classical logistic regression model. Women who were older, highly educated, from rich families, unemployed, and from urban residences were more likely to experience the double burden of malnutrition. This study recommended using the historical prior as the informative prior rather than the flat/noninformative prior to estimating the parameter uncertainty if historical data are available. The double burden of malnutrition among women is a major public health challenge in Bangladesh. This study was to determine the impact of effective risk factors on the double burden of malnutrition among women by applying the Bayesian framework. Using both informative and noninformative priors, "historical prior" was proposed as informative prior information. The main strength is that the proposed prior (historical prior) provided improved estimation as compared to the flat prior distribution.

Predicting nutritional status for women of childbearing age from their economic, health, and demographic features: A supervised machine learning approach

BACKGROUND

Malnutrition imposes enormous costs resulting from lost investments in human capital and increased healthcare expenditures. There is a dearth of research focusing on the prediction of women's body mass index (BMI) and malnutrition outcomes (underweight, overweight, and obesity) in developing countries. This paper attempts to fill out this knowledge gap by predicting the BMI and the risks of malnutrition outcomes for Bangladeshi women of childbearing age from their economic, health, and demographic features.

METHODS

Data from the 2017-18 Bangladesh Demographic and Health Survey and a series of supervised machine learning (SML) techniques are used. Additionally, this study circumvents the imbalanced distribution problem in obesity classification by utilizing an oversampling approach.

RESULTS

Study findings demonstrate that the support vector machine and k-nearest neighbor are the two best-performing methods in BMI prediction based on the coefficient of determination (R2), root mean square error (RMSE), and mean absolute error (MAE). The combined predictor algorithms consistently yield top specificity, Cohen's kappa, F1-score, and AUC in classifying the malnutrition status, and their performance is robust to alternative standards. The feature importance ranking based on several nonparametric and combined predictors indicates that socioeconomic status, women's age, and breastfeeding status are the most important features in predicting women's nutritional outcomes. Furthermore, the conditional inference trees corroborate that those three features, along with the partner's educational attainment and employment status, significantly predict malnutrition risks.

CONCLUSION

To the best of our knowledge, this is the first study that predicts BMI and one of the pioneer studies to classify all three malnutrition outcomes for women of childbearing age in Bangladesh, let alone in any lower-middle income country, using SML techniques. Moreover, in the context of Bangladesh, this paper is the first to identify and rank features that are critical in predicting nutritional outcomes using several feature selection algorithms. The estimators from this study predict the outcomes of interest most accurately and efficiently compared to other existing studies in the relevant literature. Therefore, study findings can aid policymakers in designing policy and programmatic approaches to address the double burden of malnutrition among Bangladeshi women, thereby reducing the country's economic burden.

Trends and predictors of early initiation, exclusive and continued breast-feeding in Bangladesh (2004-2018): a multilevel analysis of demographic and health survey data

The early initiation of breast-feeding (EIBF) within 1 h of birth, exclusive breast-feeding (EBF) to 6 months and continued breast-feeding (CBF) to 2 years are key infant and young child feeding guidelines promoted globally for optimal child health and development. Using publicly available national survey data from the five most recent, consecutive Bangladesh Demographic and Health Surveys (2004, 2007, 2011, 2014 and 2017-2018), we assessed the trends in these key breast-feeding indicators. Multiple multilevel logistic regression models were built to assess socio-demographic predictors of breast-feeding using the latest 2017-2018 data set. Both EIBF and EBF have increased significantly between 2004 and 2017-2018, from 26 % to 60 % and 36 % to 68 %, respectively, and CBF decreased from 94 % to 85 %. Caesarean section delivery conferred lower EIBF practice (OR = 0·34, 95 % CI 0·27, 0·42) compared with vaginal delivery. Women who were currently working had 32 % lower odds of EBF (OR = 0·68, 95 % CI 0·48, 0·95). Compared with delivery at home, women who delivered in a health facility had 81 % higher odds of EBF (OR = 1·81, 95 % CI 1·25, 2·34). Larger family size (≥5) also predicted EBF (OR = 1·70, 95 % CI 1·21, 2·40). Rural residency was associated with 2·39 (95 % CI 1·32, 4·31) times of higher odds of CBF. Regional variation was also predictive of the various breast-feeding indicators. Although Bangladesh currently exceeds the 2019 global prevalence rates for these three breast-feeding indicators, efforts should be made to continue improving EIBF and EBF and to prevent future decreases in CBF.

Underweight, overweight or obesity, diabetes, and hypertension in Bangladesh, 2004 to 2018

Background and objectives

Bangladesh is experiencing a nutrition transition with an increase in the double burden of malnutrition and non-communicable diseases (NCDs). This study sought to: 1) examine trends and differences in underweight, overweight/obesity, hypertension and diabetes by gender, area of residence, and wealth in Bangladesh from 2004 to 2018, 2) assess what factors contributed to changes in these outcomes.

Methods

We used data from five rounds of the Bangladesh Demographic and Health Surveys (n = 76,758 women 15-49y and 10,900 men 18-95y in total). We calculated differences, slope index of inequality (SII) and concentration index (CIX) to examine trends over time and differences in outcomes by wealth and residence. We identified determinants and estimated drivers of changes in outcomes using regression-based decomposition.

Results

Between 2004 and 2018, underweight prevalence decreased in both women (33% to 12%) and men (26% to 18%), whereas overweight/obesity increased (17% to 49% in women and 21% to 34% in men). Hypertension also increased in both women (31% to 44%) and men (19% to 33%) while diabetes changed marginally (11% to 14%). In all years, underweight was concentrated in poorer and rural households while overweight/obesity, diabetes and hypertension were concentrated in wealthier and urban households. Wealth inequity decreased over time for underweight, changed little for overweight/obesity, and increased for hypertension and diabetes among men. Increases in wealth explained 35% to 50% of the reduction in underweight and 30% to 57% of the increase in overweight/obesity.

Conclusion

Our findings imply that double duty actions are required to sustain the decrease in undernutrition and slow the increase in overweight/obesity and NCDs across diverse socioeconomic sections of the population in Bangladesh.

Multilevel exploration of individual- and community-level factors contributing to overweight and obesity among reproductive-aged women: a pooled analysis of Bangladesh Demographic and Health Survey, 2004-2018

OBJECTIVES

Overweight and obesity have been related to a variety of adverse health outcomes. Understanding the overweight and obesity epidemic in Bangladesh, particularly among reproductive-aged women, is critical for monitoring and designing effective control measures. The purpose of this study was to determine the prevalence of overweight and obesity in reproductive-aged women and to identify the risk factors of overweight and obesity.

DESIGN

A total of 70 651 women were obtained from the five most recent and successive Bangladesh Demographic and Health Surveys (BDHS). The multilevel logistic regression model was used to explore the individual- and community-level factors of overweight and obesity.

SETTING

Five most recent nationally representative household surveys across all regions.

PARTICIPANTS

Reproductive-aged (15-49 years) non-pregnant women.

RESULTS

Approximately 35·2 % (95 % CI: 34·9-35·6 %) of women were either overweight or obese in Bangladesh. At the individual- and community-level, higher age (adjusted odds ratio (aOR) = 5·79, 95 % CI: 5·28-6·34), secondary or higher education (aOR = 1·69 [1·60-1·78]), relatively wealthiest households (aOR = 4·41 [4·10-4·74]), electronic media access (aOR = 1·32 [1·26-1·37]) and community high literacy (aOR = 1·10 [1·04-1·15]) of women were significantly positively associated with being overweight or obese. Whereas, rural residents (aOR = 0·79 [0·76-0·82]) from larger-sized households (aOR = 0·80 [0·73-0·87]) and have high community employment (aOR = 0·92 [0·88-0·97]) were negatively associated with the probability of being overweight or obese.

CONCLUSION

Individual- and community-level factors influenced the overweight and obesity of Bangladeshi reproductive-aged women. Interventions and a comprehensive public health plan aimed at identifying and addressing the growing burden of overweight and obesity should be a top focus.

Nutritional Status and Intra-household Food Distribution Among Reproductive-Age-Group Women in a Slum Area of Hooghly District, West Bengal: A Mixed-Methods Approach

Introduction

Malnutrition among women of reproductive age (WRA), especially those living in slum areas, is one of the most concerning nutritional issues because of the extreme nutritional stress they face in the form of inequitable intra-household food distribution (IHFD). This study aimed to assess the nutritional status (NS) and its association with IHFD among reproductive-age-group women along with exploring the perspectives of the stakeholders regarding inequitable food distribution.

Materials and methods

The quantitative part of the convergent parallel mixed-methods design study was conducted among 150 WRA, selected by cluster random sampling from 15 slum areas of Hooghly District, between December 2020 and May 2021. Data were collected using a predesigned pretested schedule with anthropometric measurements. IHFD was quantified by the relative dietary energy adequacy ratio (RDEAR). Ordinal logistic regression was performed to obtain adjusted-proportional odds ratios (aPOR) for higher categories of NS (underweight: reference category). Stratified subgroup analysis was done to assess the influencers of IHFD. For the qualitative part, in-depth interviews were conducted with eight purposively selected in-laws of study participants, and the data were interpreted by thematic analysis.

Results

The mean age of the study participants was 28.6±6.3 years. The proportion of malnutrition and inequitable IHFD (RDEAR<1) among them was 50% and 46%, respectively. Higher categories of NS were found to be significantly associated with an increase in RDEAR (aPOR=22.6, 95% CI: 2.75-185.45, p-value=0.004). Among underweight and normal NS women, those who were earning members and directly involved in food preparation/production had a greater allocation of food within their households. Physiological intolerance, incapacity of earning, and traditional customs were the most recurring themes transcribed as the barriers to equitable food distribution.

Conclusion

A high magnitude of malnutrition and its association with inequitable IHFD among WRA warrant policy-level support to increase women's employment opportunities and address gender-based inequities through comprehensive information education communication (IEC) techniques as well.

Assessing the double burden of malnutrition among Bangladeshi reproductive-aged women: A comparison between unconditional and conditional quantile regression

BACKGROUND AND AIMS

The coexistence of undernutrition and overnutrition creates a double burden of malnutrition (DBM) among women in Bangladesh. This study aimed to assess heterogeneous effects of sociodemographic factors on women's nutritional status using quantile regression (QR) models and to investigate the differences between the results of unconditional QR (UQR) and conditional QR (CQR) models.

METHODS

A sample of 17 285 nonpregnant women aged 15 to 49 years was extracted from the latest Bangladesh Demographic and Health Survey, 2017-2018. Women's nutritional status was determined using body mass index (BMI). The UQR and CQR were used to estimate the heterogeneous effects of sociodemographic factors on women's BMI.

RESULTS

Results show that the estimated effects of sociodemographic factors varied across the BMI distribution. For the same quantile, the effects differed between UQR and CQR. For instance, education was significantly positively associated with BMI. In UQR, secondary educated women achieved an increase of 0.996 and 1.720 in BMI at 10th and 90th quantiles, respectively, compared to noneducated women, whereas conditional effects were 1.336 and 1.492 at 10th and 90th quantiles, respectively, in CQR. These results also indicate secondary education appeared to have a lesser (or higher) impact in the lower (or upper) tail of BMI distribution, and unconditional and conditional effects for the same quantile varied notably. Other factors such as women's age, occupation, household wealth, number of children ever born and household size, religion, and place of residence were significantly associated with BMI and showed heterogeneous effects.

CONCLUSION

Overall, there is a need to focus on heterogeneous effects of factors on women's nutritional status. Patterns of unconditional heterogeneous effects would be more informative than conditional heterogeneous effects while studying factors' effects. These findings may aid in developing strategies targeting high-risk groups to combat the double burden of malnutrition.

Individual- and community-level factors associated with underweight and overweight among women of reproductive age in Bangladesh: a multilevel analysis

The co-existence of under- and overweight at population level around the globe is well documented. However, this has yet to be explored using suitable statistical techniques in the context of Bangladesh. This study aimed to examine the prevalence and risk factors for being underweight and overweight or obese compared with normal weight in ever-married non-pregnant women aged 15-49 years in Bangladesh using data from the most recent Bangladesh Demographic and Health Survey conducted in 2014. Multilevel multinomial logistic regression (MLMLR) and quantile regression models were fitted to examine the associations of socioeconomic and individual-, household- and community-level factors on the nutritional status of women as measured by BMI. Overall, the prevalences of underweight, normal weight, overweight and obese women were 19%, 58%, 19% and 4%, respectively, in 2014. The MLMLR analysis revealed that women of young age, widowed/divorced/separated, having a larger family size and children aged ≤5 years in the household, currently amenorrhoeic and members of non-government organizations were at significantly increased risk of being underweight; those of older age, having higher parity, more educated, frequently watched TV and non-poor were more likely to be overweight or obese relative to normal BMI. Women from more affluent communities and urban areas were more likely to be overweight or obese relative to normal BMI than their counterparts from less-affluent and rural communities. Women's nutritional status was found to be heterogeneous across the regions of the country. The findings indicate that, along with individual-level factors, community-level characteristics are also important in explaining women's BMI in Bangladesh. The issue of under- and overweight or obesity among women in Bangladesh requires the immediate adoption of a public health policy for its mitigation. When developing intervention programmes, important determinants and uniform development of regions should be taken into consideration to combat the dual burden of under- and overweight among women in Bangladesh.

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.