Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Seferidi P

PROVIDER: S-EPMC8924053 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BACKGROUND:Contraception is a key component of sustainable development, empowering women, reducing the risk of maternal and child mortality and promoting economic growth. It is part of the Sustainable Development Goals agenda, where the aim is to achieve universal access to sexual and reproductive health. Our objective was to evaluate trends and inequalities in modern contraceptive prevalence, and according to the type of modern contraceptive, in 11 low- and middle-income countries that are partners of the Family Planning 2020 initiative. METHODS:Analyses were performed using 62 Performance Monitoring and Accountability 2020 (PMA2020) surveys from 11 countries. Forty surveys were nationally representative, while 22 had regional coverage. Regional surveys were analyzed separately, totalizing 15 geographies from 11 countries. We described trends on modern contraceptive prevalence, and its subtypes (short- and long-acting reversible contraceptives, and permanent methods), by calculating absolute average annual changes. Absolute inequalities on the prevalence of modern contraceptives were assessed for the most recent survey of each geography using the slope index of inequality, and according to wealth, education and age. RESULTS:The overall prevalence of modern contraception increased in most geographies analyzed, reaching a 7.2 percentage points increase per year in Lagos, Nigeria. This increase was mostly influenced by the long-acting reversible contraceptives, which increased in 73% of the geographies. Although the largest share of modern contraception is represented by short-acting reversible contraceptives, these are reducing and giving space for the long-acting methods. The exception was Rajasthan, India, where the permanent methods accounted for 70% of the modern contraception share, and their prevalence was almost 40%. Inequalities were identified in favor of richer, older and better educated women. CONCLUSIONS:Out of the 15 geographies analyzed, 11 demonstrated an increase in overall modern contraceptive use - mainly driven by the uptake of long-acting reversible contraception. However, even in the groups with the highest prevalence, modern contraceptive use was at most 60% in most geographies. So, we are far from reaching the desired universal coverage proposed by the Sustainable Development Goals.

Project description:BackgroundSub-Saharan Africa has one of the highest levels of child malnutrition globally. Therefore, a critical look at the distribution of malnutrition within its sub-regions is required to identify the worst affected areas. This study provides a meta-analysis of the prevalence of malnutrition indicators (stunting, wasting and underweight) within four sub-regions of sub-Saharan Africa.MethodsCross-sectional data from the most recent Demographic and Health Surveys (2006-2016) of 32 countries in sub-Saharan Africa were used. The countries were grouped into four sub-regions (East Africa, West Africa, Southern Africa and Central Africa), and a meta-analysis was conducted to estimate the prevalence of each malnutrition indicator within each of the sub-regions. Significant heterogeneity was detected among the various surveys (I2 >50%), hence a random effect model was used, and sensitivity analysis was performed, to examine the effects of outliers. Stunting was defined as HAZ<-2; wasting as WHZ<-2 and underweight as WAZ<-2.ResultsStunting was highest in Burundi (57.7%) and Malawi (47.1%) in East Africa; Niger (43.9%), Mali (38.3%), Sierra Leone (37.9%) and Nigeria (36.8%) in West Africa; Democratic Republic of Congo (42.7%) and Chad (39.9%) in Central Africa. Wasting was highest in Niger (18.0%), Burkina Faso (15.50%) and Mali (12.7%) in West Africa; Comoros (11.1%) and Ethiopia (8.70%) in East Africa; Namibia (6.2%) in Southern Africa; Chad (13.0%) and Sao Tome & Principle (10.5%) in Central Africa. Underweight was highest in Burundi (28.8%) and Ethiopia (25.2%) in East Africa; Niger (36.4%), Nigeria (28.7%), Burkina Faso (25.7%), Mali (25.0%) in West Africa; and Chad (28.8%) in Central Africa.ConclusionThe prevalence of malnutrition was highest within countries in East Africa and West Africa compared to the WHO Millennium development goals target for 2015. Appropriate nutrition interventions need to be prioritised in East Africa and West Africa if sub-Saharan Africa is to meet the WHO global nutrition target of improving maternal, infant and young child nutrition by 2025.

Project description:BackgroundInfant immunization coverage worldwide has plateaued at about 85%. Using existing survey data to conduct analyses beyond estimating coverage may help immunization programmes better tailor strategies to reach un- and under-immunized children. The Demographic and Health Survey (DHS) and the Multiple Indicators Cluster Survey (MICS), routinely conducted in low and middle-income countries (LMICs), collect immunization data, yet vaccination coverage is often the only indicator reported and used. We conducted a review of published immunization-related analyses to characterize and quantify immunization secondary analyses done using DHS and MICS databases.MethodsWe conducted a systematic search of the literature, of immunization-related secondary analyses from DHS or MICS published between 2006 and August 2018. We searched 15 electronic databases without language restrictions. For the articles included, relevant information was extracted and analyzed to summarize the characteristics of immunization-related secondary analyses. Results are presented following the PRISMA guidelines.ResultsAmong 1411 papers identified, 115 met our eligibility criteria; additionally, one article was supplemented by the Pan American Health Organization. The majority were published since 2012 (77.6%), and most (68.9%) had a first or corresponding author affiliated with institutions in high-income countries (as opposed to LMICs where these surveys are conducted). The median delay between survey implementation and publication of the secondary analysis was 5.4 years, with papers with authors affiliated to institutions in LMIC having a longer median publication delay (p < 0.001). Over 80% of the published analyses looked at factors associated with a specific vaccine or with full immunization. Quality proxies, such as reporting percent of immunization data from cards vs recall; occurrence and handling of missing data; whether survey analyses were weighted; and listing of potential biases or limitations of the original survey or analyses, were infrequently mentioned.ConclusionOur review suggests that more needs to be done to increase the increase the utilization of existing DHS and MICS datasets and improve the quality of the analyses to inform immunization programmes. This would include increasing the proportion of analyses done in LMICs, reducing the time lag between survey implementation and publication of additional analyses, and including more qualitative information about the survey in the publications to better interpret the results.

Project description:ObjectivesThis study investigated the inequalities in access to maternal healthcare services in Bangladesh.Design and settingThis study used cross-sectional data from the nationally representative Bangladesh Demographic and Health Survey conducted in 2017-2018. The survey encompassed diverse regions and households across Bangladesh. The study used the Human Opportunity Index (HOI) and Shapley's decomposition technique to measure the inequality in access to maternal healthcare opportunities.ParticipantsThis study included 20 127 women aged 15-49 years. Among them, 5012 women had live births in the preceding 3 years of the survey, forming the study sample.Primary and secondary outcome measuresThis study has no secondary outcome variable. The primary dependent variable is 'adequate maternal healthcare', a dichotomous variable.ResultsHousehold wealth status contributed the highest to inequality in accessing adequate maternal healthcare services (41.4%) such as receiving at least four antenatal care (ANC) visits (39.7%), access to proper ANC (50.7% and 44.0%) and health facility birth (43.4%). Maternal educational status contributes the second highest inequality among all factors in accessing adequate maternal healthcare (29.5%). Adequate maternal healthcare presented the lowest coverage rate and opportunity index among all (approximately 24% with HOI=17.2).ConclusionsWe found that attained adequate maternal healthcare had the lowest coverage and widest dissimilarity, while wealth index, education and place of residence are the major factors that contribute to inequalities in accessibility to maternal healthcare services in Bangladesh. These findings underscore a need for pro-poor interventions to narrow the economic inequalities between the poor and rich in terms of accessibility to maternal healthcare services. The results indicate the need for the Bangladeshi government and its health department to strengthen their commitment to improving female education. Investments should be made in initiatives that facilitate the proximity of maternal healthcare services to women in rural areas.

Project description:IntroductionExtant studies universally document a positive gradient between socioeconomic status (SES) and health. A notable exception is the apparent concentration of HIV/AIDS among wealthier individuals. This paper uses data from the Demographic Health Surveys and AIDS Indicator Surveys to examine socioeconomic inequalities in HIV/AIDS prevalence in 24 sub-Saharan African (SSA) countries, the region that accounts for two-thirds of the global HIV/AIDS burden.MethodsThe relative and generalized concentration indices (RC and GC) were used to quantify wealth-based socioeconomic inequalities in HIV/AIDS prevalence for the total adult population (aged 15-49), for men and women, and in urban and rural areas in each country. Further, we decomposed the RC and GC indices to identify the determinants of socioeconomic inequalities in HIV/AIDS prevalence in each country.ResultsOur findings demonstrated that HIV/AIDS was concentrated among higher SES individuals in the majority of SSA countries. Swaziland and Senegal were the only countries in the region where HIV/AIDS was concentrated among individuals living in poorer households. Stratified analyses by gender showed HIV/AIDS was generally concentrated among wealthier men and women. In some countries, including Kenya, Lesotho Uganda, and Zambia, HIV/AIDS was concentrated among the poor in urban areas but among wealthier adults in rural areas. Decomposition analyses indicated that, besides wealth itself (median = 49%, interquartile range [IQR] = 90%), urban residence (median = 54%, IQR = 81%) was the most important factor contributing to the concentration of HIV/AIDS among wealthier participants in SSA countries.ConclusionsFurther work is needed to understand the mechanisms explaining the concentration of HIV/AIDS among wealthier individuals and urban residents in SSA. Higher prevalence of HIV/AIDS could be indicative of better care and survival among wealthier individuals and urban adults, or reflect greater risk behaviour and incidence. Moreover, differential findings across countries suggest that effective intervention efforts for reducing the burden of HIV/AIDS in the SSA should be country specific.

Project description:This study analysed the association between income inequality and depression from a multilevel perspective among older adults in Europe, including an examination of the role of social support. The data came from Eurostat's European Health Interview Survey (EHIS). Selected participants were aged 65 years or above (n = 68,417) and located in 24 European countries. The outcome variable (depression) was measured using the eight-item Patient Health Questionnaire (PHQ-8). The resulting dataset included individual-level (level-1) and aggregate-level (level 2) exposure variables. Level-1 included income quintiles and social support as exposure variables and sex, age, living alone, limitation in activities of daily living and general activity limitation as control variables. Level 2 included the Gini coefficient, healthcare expenditure and dependency ratio. A multilevel linear regression analysis was performed with maximum likelihood (ML) estimation. All the income quintiles from 1 to 4 showed higher average scores for depression than quintile 5 (the highest). Higher social support scores were associated with lower scores for depression. An interaction was found between income quintile and social support, with higher levels of social support associated with lower scores for depression in quintiles 1 and 2. Higher Gini coefficient scores were associated with higher scores for depression. A significative random slope for social support was also found, meaning that the relationship between social support and depression differed across countries. No significant interaction was found between the Gini coefficient and social support. The study findings suggest that more unequal societies provide a less favourable context for the mental health of older adults. There are also significant country-dependent differences in terms of the relationship between support and mental health among older adults.Supplementary informationThe online version contains supplementary material available at 10.1007/s10433-021-00670-2.