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A double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4% (62.3 (55.1–70.8) million) to 6.4% (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025. Prevalence of overweight increased from 5.2% (30 (22.8–38.5) million) in 2000 to 6.0% (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. Fine-scale geospatial mapping of overweight and wasting (two components of the double burden of malnutrition) in 105 LMICs shows that overweight has increased from 5.2% in 2000 to 6.0% in children under 5 in 2017. Although overall wasting decreased over the same period, most countries are not on track to meet the World Health Organization’s Global Nutrition Target of <5% in over half of LMICs by 2025.

Background Double burden of malnutrition (DBM) is an emerging global public health problem. The United Nations member states adopted eradicating all forms of malnutrition as an integral component of the global agenda. However, there is evidence of a high burden of undernutrition among women and rising rates of overweight and obesity, especially in low and middle income countries (LMICs). Therefore, this study aimed to investigate the prevalence and associated factors of underweight, overweight, and obesity among women of reproductive age in LMICs. Methods Data for the study were drawn from a recent 52 Demographic and Health Surveys (DHS) conducted in LMICS. We included a sample of 1,099,187 women of reproductive age. A multilevel multinomial logistic regression model was used to identify factors associated with DBM. Adjusted relative risk ratio (RRR) with a 95% Confidence Interval (CI) was reported to show an association. Results The prevalence of underweight, overweight, and obesity in LMICs among women of reproductive age was 15.2% (95% CI: 15.1–15.3), 19.0% (95% CI: 18.9- 19.1), and 9.1% (95% CI: 9.0–9.2), respectively. This study found that women aged 24–34 years, aged ≥ 35 years, with primary, secondary, and above educational level, from wealthy households, using modern contraceptives, exposed to media (radio and television), and with high parity (more than one birth) were more likely to have overweight and obesity and less likely to have underweight. Moreover, the risk of having obesity ( RRR  = 0.59; 95% CI = 0.58–0.60 and overweight ( RRR  = 0.78; 95% CI = 0.77–0.79) were lower among rural women, while the risk of being underweight was ( RRR  = 1.13; 95% CI = 1.11–1.15) higher among rural women compared to urban women. Conclusion The prevalence of underweight, overweight, and obesity was high among women of reproductive age in LMICs. Underweight, overweight, and obesity are influenced by sociodemographic, socioeconomic, and behavioral-related factors. This study shows that, in order to achieve Sustainable Development Goal 2, a multifaceted intervention approach should be considered to prevent both forms of malnutrition in women of reproductive age. This can be achieved by raising awareness and promoting healthy behaviors such as healthy eating and physical activity, especially among educated women, women from wealthy households, and women exposed to the media.

Background: Ultraprocessed products (UPPs) have been associated with unfavorable health outcomes; however, until now, they have not been associated with the coexistence of undernutrition and overnutrition, known as the double burden of malnutrition (DBM) at the individual level. Methods: Cross-sectional analyses were performed on data collected from children and adolescents participating in the 2006 and 2016 Mexican National Health and Nutrition Surveys. The food and beverages reported in the food frequency questionnaire (SFFQ) were classified as UPPs as defined by the NOVA classification system. Associations of UPPs with anemia, excess weight, and the DBM were estimated with logistic regression models. A pseudo-panel was generated using the cohorts of children born from 1997 to 2001 to estimate the effect of the UPPs on anemia, excess weight, and the DBM. Results: The consumption of UPPs (% energy) was higher in 2016 (children 30.1% and adolescents 28.3%) than in 2006 (children 27.3% and adolescents 23.0%) in both age-groups. The higher contribution of UPPs was positively associated with excess weight and the DBM in children’s lower tertile of socioeconomic status (SES) and the DBM in higher tertile of SES in adolescents. The pseudo-panel analysis shows the positive association between UPPs and DBM in lower SES. Conclusions: These results provide evidence of the association between the consumption of UPPs and the DBM and excess weight in children and adolescents.

(1) Background: The double burden of malnutrition (DBM) is a complex problem involving the coexistence of under- and over-nutrition within the same individual, household or population. This review aimed to discuss the correlates of the double burden of malnutrition through the socio-ecological model (SEM); (2) Methods: The PubMed database was systematically searched for peer-reviewed articles related to the double burden of malnutrition. Information on correlates of the double burden of malnutrition was extracted for analysis and discussion in alignment with the levels of the socio-ecological model.; (3) Results and Discussion: The correlates of the double burden of malnutrition identified from previous literature were: Race/genetics; maternal short stature; breastfeeding status; low maternal education; family size; household food security; household dietary diversity; and rural and urban settings. In the absence of evidence linking factors in a certain level of the SEM and the double burden of malnutrition, we employed correlates of overweight status and obesity to complete this narrative. Potential intervention strategies were proposed in alignment with the targets and settings identified, based on the socio-ecological approach; (4) Conclusions: The double burden of malnutrition is a public health phenomenon associated with a variety of socio-ecological determinants. An integrated approach is needed to address the root causes of malnutrition in all its forms, and at all life stages.

Background: Africa is unlikely to end hunger and all forms of malnutrition by 2030 due to public health problems such as the double burden of malnutrition (DBM). Thus, the aim of this study is to determine the prevalence of DBM and degree of socio-economic inequality in double burden of malnutrition among children under 5 years in sub-Saharan Africa. Methods: This study used multi-country data collected by the Demographic and Health Surveys (DHS) Program. Data for this analysis were drawn from the DHS women’s questionnaire focusing on children under 5 years. The outcome variable for this study was the double burden of malnutrition (DBM). This variable was computed from four indicators: stunting, wasting, underweight and overweight. Inequalities in DBM among children under 5 years were measured using concentration indices (CI). Results: The total number of children included in this analysis was 55,285. DBM was highest in Burundi (26.74%) and lowest in Senegal (8.80%). The computed adjusted Erreygers Concentration Indices showed pro-poor socio-economic child health inequalities relative to the double burden of malnutrition. The DBM pro-poor inequalities were most intense in Zimbabwe (−0.0294) and least intense in Burundi (−0.2206). Conclusions: This study has shown that across SSA, among under-five children, the poor suffer more from the DBM relative to the wealthy. If we are not to leave any child behind, we must address these socio-economic inequalities in sub-Saharan Africa.

To investigate the prevalence and sociodemographic determinants of household-level mother-child double burden (MCDB) of malnutrition in Bangladesh. The analysis was done using Bangladesh Demographic and Health Survey 2014 data. Multivariable logistic regression identified the sociodemographic factors associated with double-burden households. Nationally representative cross-sectional survey.ParticipantsA total of 5951 households were included in the analysis. A coexistence of overweight or obese mother and underweight or stunted or wasted child (OWOBM/USWC) was found in 6·3 % households. The prevalence of overweight or obese mother and underweight child (OWOBM/UWC) was 3·8 %, of overweight or obese mother and stunted child (OWOBM/STC) was 4·7 %, and of overweight or obese mother and wasted child (OWOBM/WSC) was 1·7 %. Mother's age 21-25 years at first birth, middle wealth index group, having two or three children and having four or more children showed statistically significant (P<0·05) associations with OWOBM/UWC. Households with mother's age 21-25 years at first birth, middle wealth index group, no exposure to information media, having two or three children and having four or more children had higher odds of OWOBM/STC and OWOBM/USWC which were statistically significant (P<0·05). Delivery of child through caesarean section was significantly associated with OWOBM/USWC (P<0·05). Although the prevalence of MCDB of malnutrition in Bangladesh is low, prevention programmes must consider the nutrition concerns of the entire household to prevent future risks. Such programmes also need to be tagged with family planning and increasing awareness through social and behaviour change counselling and exposure to information media.

Background The double burden of malnutrition (undernutrition and overnutrition) remains a major public health concern among preschool-aged ethnic minority children in northern Thailand. Cultural and geographic contexts shape caregiving and dietary behaviors while limiting access to health and nutritional services. Objective This study examined the relationship between the double burden of malnutrition and its associated behavioral and socioenvironmental factors among preschool-aged ethnic minority children. Methods A community-based cross-sectional study was conducted among 260 children aged 2–5 years in Chiang Rai Province, northern Thailand. Data on sociodemographic, caregiving, and dietary characteristics were obtained from parents or caregivers using structured questionnaires, and the nutritional status of the children was assessed via WHO-standardized anthropometric measurements. Multivariate logistic regression was used to identify factors associated with stunting, wasting, and overweight/obesity. Results The findings revealed a high prevalence of the double burden of malnutrition, including stunting (22.3%), wasting (20.8%), and overweight/obesity (11.9%). Stunting was associated with frequent consumption of staple starchy foods (OR 9.03; 95% CI 1.18–69.05). Wasting was associated with meals prepared by nonparental caregivers (OR 2.51; 95% CI 1.12–5.64). Overweight/obesity was related to mothers being the primary income earners (OR 3.14; 95% CI 1.23–8.04) and having low vegetable intake (OR 2.35; 95% CI 1.07–5.20). Conclusion The coexistence of undernutrition and overnutrition among ethnic minority preschoolers is driven by both behavioral and socioenvironmental determinants. Targeted interventions that enhance caregiver nutrition literacy, promote healthy feeding behaviors, and integrate qualified nutrition professionals into community-based childcare systems are crucial for addressing these nutritional disparities.

(1) Background: The double burden of malnutrition has been increasing in countries experiencing the nutrition transition. This study aimed to determine the relationship between household food insecurity and the double burden of malnutrition, defined as within-household stunted child and an overweight/obese mother (SCOWT). (2) Methods: A cross-sectional survey was conducted in the urban city of Surabaya, Indonesia in April and May 2015. (3) Results: The prevalence of child stunting in urban Surabaya was 36.4%, maternal overweight/obesity was 70.2%, and SCOWT was 24.7%. Although many households were food secure (42%), there were high proportions of mild (22.9%), moderate (15.3%) and severe (19.7%) food insecurity. In a multivariate logistic regression, the household food insecurity access scale (HFIAS) category significantly correlated with child stunting and SCOWT. Compared to food secure households, mildly food insecure households had the greatest odds of SCOWT (adjusted odds ratio (aOR) = 2.789; 95% confidence interval (CI) = 1.540–5.083), followed by moderately food insecure (aOR = 2.530; 95% CI = 1.286–4.980) and severely food insecure households (aOR = 2.045; 95% CI = 1.087–3.848). (4) Conclusions: These results support the hypothesis that the double burden of malnutrition is related to food insecurity, and the HFIAS category is a predictor of SCOWT.

Background The Global Diet Quality Score (GDQS) was developed to be a simple, timely and cost-effective tool to track, simultaneously, nutritional deficiency and non-communicable disease risks from diet in diverse settings. The objective was to investigate the performance of GDQS as an indicator of adequate nutrient intake and dietary quality in a national-representative sample of the Brazilian population. Methods Nationally-representative data from 44,744 men and non-pregnant and non-lactating women aging ≥ 10 years, from the Brazilian National Dietary Survey were used. Dietary data were collected through two 24-h recalls (24HR). The GDQS was calculated and compared to a proxy indicator of nutrient adequate intake (the Minimum Dietary Diversity for Women—MDD-W) and to an indicator of high-risk diet for non-communicable diseases (caloric contribution from ultra-processed foods—UPF). To estimate the odds for overall nutrient inadequacy across MDD-W and GDQS quintiles, a multiple logistic regression was applied, and the two metrics’ performances were compared using Wald’s post-test. Results The mean GDQS for Brazilians was 14.5 (0–49 possible range), and only 1% of the population had a low-risk diet (GDQS ≥ 23). The GDQS mean was higher in women, elderly individuals and in higher-income households. An inverse correlation was found between the GDQS and UPF (rho (95% CI) = -0.20(-0.21;-0.19)). The odds for nutrient inadequacy were lower as quintiles of GDQS and MDD-W were higher (p-trend < 0.001), and MDD-W had a slightly better performance than GDQS (p-diff < 0.001). Having a low-risk GDQS (≥ 23) lowered the odds for nutrient inadequacy by 74% (95% CI:63%-81%). Conclusion The GDQS is a good indicator of overall nutrient adequacy, and correlates well with UPF in a nationally representative sample of Brazil. Future studies must investigate the relationship between the GDQS and clinical endpoints, strengthening the recommendation to use this metric to surveillance dietary risks.

Sub-Saharan Africa is experiencing the double burden of malnutrition (DBM) with high levels of undernutrition and a growing burden of overweight/obesity and diet-related noncommunicable diseases (NCDs). Undernourishment in sub-Saharan Africa increased between 2010 and 2016. Although the prevalence of chronic undernutrition is decreasing, the number of stunted children under 5 years of age is increasing due to population growth. Meanwhile, overweight/obesity is increasing in all age groups, with girls and women being more affected than boys and men. It is increasingly recognized that the drivers of the DBM originate outside the health sector and operate across national and regional boundaries. Largely unregulated marketing of cheap processed foods and nonalcoholic beverages as well as lifestyle changes are driving consumption of unhealthy diets in the African region. Progress toward the goal of ending hunger and malnutrition by 2030 requires intensified efforts to reduce undernutrition and focused action on the reduction of obesity and diet-related NCDs. The World Health Organization is developing a strategic plan to guide governments and development partners in tackling all forms of malnutrition through strengthened policies, improved service delivery, and better use of data. It is only through coordinated and complementary efforts that strides can be made to reduce the DBM.