Intraindividual double burden of overweight or obesity and micronutrient deficiencies or anemia among women of reproductive age in 17 population-based surveys

• Published in: The American journal of clinical nutrition 2020-08, Vol.112 (Suppl 1), p.468S-477S
• Main Authors: Williams, Anne M, Guo, Junjie, Addo, O Yaw, Ismaily, Sanober, Namaste, Sorrel ML, Oaks, Brietta M, Rohner, Fabian, Suchdev, Parminder S, Young, Melissa F, Flores-Ayala, Rafael, Engle-Stone, Reina
• Format: Article
• Language: English
• Subjects: Adolescent; Adult; Age; Age Factors; Anemia; Anemia - blood; Anemia - epidemiology; Biomarkers; Biomarkers - blood; Body Mass Index; Body weight; Chi-square test; Comorbidity; Decision making; Deficiency Diseases - blood; Deficiency Diseases - epidemiology; double burden of malnutrition; Etiology; Female; Global Health; Humans; Income; Logistic Models; Malnutrition; micronutrients; Micronutrients - blood; Nutritional Status; Obesity; Obesity - epidemiology; Overweight; Overweight - epidemiology; overweight/obesity; Polls & surveys; Poverty; Prevalence; Social Class; Socioeconomics; Statistical tests; Supplements and Symposia; Surveys and Questionnaires; Undernutrition; women; Young Adult
• ISSN: 0002-9165; 1938-3207
• DOI: 10.1093/ajcn/nqaa118

Rising prevalence of overweight/obesity (OWOB) alongside persistent micronutrient deficiencies suggests many women face concomitant OWOB and undernutrition. We aimed to 1) describe the prevalence of the double burden of malnutrition (DBM) among nonpregnant women of reproductive age, defined as intraindividual OWOB and either ≥1 micronutrient deficiency [micronutrient deficiency index (MDI) > 0; DBM-MDI] or anemia (DBM-anemia); 2) test whether the components of the DBM were independent; and 3) identify factors associated with DBM-MDI and DBM-anemia. With data from 17 national surveys spanning low- and middle-income countries (LMICs) and high-income countries from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia project (n = 419 to n = 9029), we tested independence of over- and undernutrition using the Rao–Scott chi-square test and examined predictors of the DBM and its components using logistic regression for each survey. Median DBM-MDI was 21.9% (range: 1.6%–39.2%); median DBM-anemia was 8.6% (range: 1.0%–18.6%). OWOB and micronutrient deficiencies or anemia were independent in most surveys. Where associations existed, OWOB was negatively associated with micronutrient deficiencies and anemia in LMICs. In 1 high-income country, OWOB women were more likely to experience micronutrient deficiencies and anemia. Age was consistently positively associated with OWOB and the DBM, whereas the associations with other sociodemographic characteristics varied. Higher socioeconomic status tended to be positively associated with OWOB and the DBM in LMICs, whereas in higher-income countries the association was reversed. The independence of OWOB and micronutrient deficiencies or anemia within individuals suggests that these forms of over- and undernutrition may have unique etiologies. Decision-makers should still consider the prevalence, consequences, and etiology of the individual components of the DBM as programs move towards double-duty interventions aimed at addressing OWOB and undernutrition simultaneously.