Intra‐household double burden of overweight/obesity and anaemia: Evidence from 49 low‐and middle‐income countries

Magnitude, trends and drivers of the coexistence of maternal overweight/obesity and childhood undernutrition in Ethiopia: Evidence from Demographic and Health Surveys (2005-2016)

Ethiopia faces a rising problem of overweight and obesity alongside a high prevalence of undernutrition; a double burden of malnutrition (DBM). This study aimed to quantify the magnitude and trends of household-level DBM-defined as the coexistence of maternal overweight/obesity and child undernutrition (i.e., stunting or anaemia)-in Ethiopia between 2005, 2011 and 2016 and understand the potential drivers influencing DBM and the change in DBM over time. Data come from the Ethiopian Demographic and Health Surveys. National and regional prevalence estimates of the DBM were calculated (n = 13,107). Equiplots were produced to display inequalities in the distribution of DBM. Factors associated with DBM were explored using pooled multivariable logistic regression analyses for 2005, 2011 and 2016 (n = 9358). These were also included in a logistic regression decomposition analysis to understand their contribution to the change in DBM between 2005 and 2016 (n = 5285). The prevalence of household-level DBM at the national level was low, with a modest increase from 2.4% in 2005% to 3.5% in 2016. This masks important within-country variability, with substantially higher prevalence in Addis Ababa (22.8%). Factors positively associated with DBM were maternal age (odds ratio [OR] = 1.04 [1.02, 1.06]), urban residence (OR = 3.12 [2.24, 4.36]), wealth (OR = 1.14 [1.06, 1.24]) and the number of children <5 in the household (OR = 1.30 [1.12, 1.49]). Overall, 70.5% of the increase in DBM between 2005 and 2016 was attributed to increased wealth, urban residence and region. Double-duty actions that address multiple forms of malnutrition are urgently needed in urban settings.

Spatial distribution and associated factors of co-occurrence of overweight/obesity and Anemia among women in the reproductive age in sub-Saharan Africa: A multilevel analysis, DHS 2016-2021

BACKGROUND

Overweight/obesity is one of the major public health problems that affect both developed and developing nations. The co-occurrence of overweight/obesity and anemia is thought to be largely preventable if detected early. To date, no spatial analyses have been performed to identify areas of hotspots for the co-occurrence of overweight/obesity and anemia among reproductive women in sub-Saharan Africa. Therefore, this study aimed to assess the spatial distribution and associated factors of the co-occurrence of overweight/obesity and anemia among women of reproductive age.

METHODS

Data for the study were drawn from the Demographic and Health Survey, a nationally representative cross-sectional survey conducted in the era of Sustainable Development Goals, in which the World Health Assembly decided and planned to cease all forms of malnutrition by 2030. Seventeen sub-Saharan African countries and a total weighted sample of 108,161 reproductive women (15-49 years) were included in our study. The data extraction, recoding and analysis were done using STATA V.17. For the spatial analysis (autocorrelation, hot-spot and interpolation), ArcGIS version 10.7 software, and for the SaTScan analysis, SaTScan version 10.1 software was used. Descriptive statistics were presented using frequency tables and percentages. We employed multilevel logistic regression to investigate associated factors. In the multivariable analysis, variables with a p-value of ≤0.05 are considered as a significant factor associated with co-occurrence of overweight/obesity and anemia among women aged 15-49 years.

RESULTS

The overall co-occurrence of overweight/obesity and anemia among women in sub-Saharan Africa was 12% (95%CI: 9-14%). The spatial analysis revealed that the co-occurrence of overweight/obesity and anemia among women significantly varied across sub-Saharan Africa. (Global Moran's I = 0.583163, p<0.001). In the spatial window, the primary-cluster was located in Liberia, Guinea, Gambia, Sira Leon, Mauritania, Mali, Cameron and Nigeria with a Log-Likelihood Ratio (LRR) of 1687.30, and Relative Risk (RR) of 2.58 at a p-value < 0.001. In multilevel analysis, women aged 25-34 years (AOR = 1.91, 95%CI: 1.78, 2.04), women aged 35-49 years (AOR = 2.96, 95% CI: 2.76, 3.17), married (AOR = 1.36, 95% CI: 1.27, 1.46), widowed (AOR = 1.22, 95%CI: 1.06, 1.40), divorced (AOR = 1.36, 95% CI: 1.23, 1.50), media exposure (AOR = 1.31, 95%CI: 1.23, 1.39), middle income (AOR = 1.19, 95%CI: 1.11, 1.28), high income/rich (AOR = 1.36, 95%CI: 1.26, 1.46), not working (AOR = 1.13, 95% CI:1.07, 1.19), traditional contraceptive utilization (AOR = 1.39, 95%CI: 1.23, 1.58) and no contraceptive use (AOR = 1.27, 95%CI: 1.20, 1.56), and no health insurance coverage (AOR = 1.36, 95%CI: 1.25, 1.49), were individual level significant variables. From community-level variables urban residence (AOR = 1.61, 95%CI: 1.50, 1.73), lower middle-income country (AOR = 2.50, 95%CI: 2.34, 2.66) and upper middle-income country (AOR = 2.87, 95%CI: 2.47, 3.34), were significantly associated with higher odds of co-occurrence of overweight/ obesity and anemia.

CONCLUSION AND RECOMMENDATIONS

The spatial distribution of the co-occurrence of overweight/obesity and anemia was significantly varied across the sub-Saharan African country. Both individual and community-level factors were significantly associated with the co-occurrence of overweight/obesity and anemia. Therefore, public health programmers and other stalk holders who are involved in maternal healthcare should work together and give priority to hotspot areas of co-occurrence in sub-Saharan Africa.

A Comparative Study of National Family Health Survey-4 and National Family Health Survey-5 of Nutritional Indicators in Chhattisgarh

Globally, public health issues related to malnutrition exist. One of the countries grappling with challenges in combating anemia and malnutrition is India, including the state of Chhattisgarh. The National Family Health Survey-5 (NFHS-5) data show that the advancements made in the National Family Health Survey-4 (NFHS-4) were reversed in NFHS-5. Despite having several programs and policies in place, Chhattisgarh has not yet utilized all of its potential to demonstrate exponential reductions in anemia and malnutrition. This study highlights probable factors and inter-district variations to provide an overview of the nutritional condition of districts in Chhattisgarh compared to NFHS-4. Children under five who are severely wasted, stunted, or experiencing both conditions exhibit a lower prevalence. An immediate warning indication was the rise in anemia prevalence across all age categories. In Chhattisgarh, when comparing NFHS-5 to NFHS-4, the study identified a reduced frequency of direct determinants and an increased coverage of nutrition-specific treatments. The state of Chhattisgarh has seen a significant improvement in underlying factors, including the number of homes with power and drinking water quality. It also describes the shortcomings and advancements in the inter-district variations among the coverage factors. Instead of focusing on raising the nutritional indicators for Chhattisgarh, this study also includes initiatives made by states that have fared better in terms of those metrics.

Creed‐Kanashiro H. Exploring the magnitude and drivers of the double burden of malnutrition at maternal and dyad levels in peri-urban Peru: A cross-sectional study of low-income mothers, infants and young children

Multiple forms of malnutrition coexist in Peru, especially in peri-urban areas and poor households. We investigated the magnitude of, and the contribution of, dietary and socio-demographic factors to the double burden of malnutrition (DBM) at maternal (i.e., maternal overweight/obesity with anaemia) and dyad (i.e., maternal overweight/obesity with child anaemia) levels. A cross-sectional survey was conducted among low-income mother-child (6-23 months) dyads (n = 244) from peri-urban communities in Peru. Dietary clusters and the minimum dietary diversity score (MDD) were generated for mothers and infants, respectively. A composite indicator using the maternal dietary clusters and the MDD was created to relate to dyad level DBM. Two dietary clusters were found: (i) the 'high variety (i.e., animal-source foods, fruit and vegetables), high sugary foods/beverages' (cluster 1) and (ii) the 'high potato, low fruit and vegetables, low red meat' (cluster 2). DBM prevalence among mothers and dyads was 19.9% and 36.3%, respectively. Logistic regression analyses revealed that the only socio-demographic factor positively associated with maternal DBM was maternal age (aOR/5 years: 1.35 [1.07, 1.71]). Mothers belonging to diet cluster 1 were less likely to experience the DBM (aOR = 0.52 [0.26, 1.03]), although CIs straddled the null. Socio-demographic factors positively associated with dyad level DBM included maternal age (aOR/5 years: 1.41 [1.15, 1.73]), and having ≥ two children under 5 years (aOR = 2.44 [1.23, 4.84]). Diet was not associated with dyad-level DBM. Double-duty actions that tackle the DBM are needed given that one-third of dyads and a fifth of mothers had concurrent overweight/obesity and anaemia.

Trends in the Intraindividual Double Burden of Overweight/Obesity and Anemia among Adult Women Living in 33 Low- and Middle-Income Countries: A Secondary Analysis of Demographic and Health Surveys from 2000-2019

BACKGROUND

Changes in overweight/obesity and anemia among women have been investigated in multiple studies, but the rate at which their coexistence at the individual level has evolved remains unknown.

OBJECTIVES

We aimed to 1) document trends in the magnitude and inequalities of the co-occurrence of overweight/obesity and anemia; and 2) compare these with overall trends in overweight/obesity, anemia, and the co-occurrence of anemia with normal weight or underweight.

METHODS

For this cross-sectional series study, we used 96 Demographic and Health Surveys from 33 countries with available anthropometric and anemia data among nonpregnant adult women (20-49 y old; n = 1,648,308). The primary outcome was defined as the coexistence of overweight or obesity (BMI ≥25kg/m2) and anemia (hemoglobin concentrations <12.0 g/dL) within the same individual. We computed overall and regional trends through multilevel linear regression models and by sociodemographic characteristics (i.e., wealth, education, and residence). Estimates at the country level were calculated through ordinary least square regression models.

RESULTS

From 2000 to 2019, the co-occurrence of overweight/obesity and anemia increased modestly at an annual rate of 0.18 percentage points (95% CI: 0.08, 0.28 percentage points; P < 0.001), ranging from 0.73 percentage points in Jordan to -0.56 percentage points in Peru. This trend occurred in parallel with overall increases in overweight/obesity and reductions in anemia. The co-occurrence of anemia with normal weight or underweight was reducing in all countries, except Burundi, Sierra Leone, Jordan, Bolivia, and Timor-Leste. Stratified analyses yielded an upward trend in the co-occurrence of overweight/obesity and anemia across all subgroups but particularly in women from the 3 middle wealth groups, no education, and capital city or rural residents.

CONCLUSIONS

The rising trend in the intraindividual double burden suggests that efforts to reduce anemia among women living with overweight/obesity may need to be revisited to accelerate progress toward the 2025 global nutrition target of halving anemia.