Intraindividual double burden of overweight and micronutrient deficiencies or anemia among preschool children

被引:15
|
作者
Engle-Stone, Reina [1 ]
Guo, Junjie [2 ]
Ismaily, Sanober [2 ]
Addo, O. Yaw [2 ,3 ]
Ahmed, Tahmeed [4 ]
Oaks, Brietta [5 ]
Suchdev, Parminder S. [5 ,6 ,7 ,8 ]
Flores-Ayala, Rafael [8 ]
Williams, Anne M. [2 ,3 ]
机构
[1] Univ Calif Davis, Dept Nutr, Davis, CA 95616 USA
[2] Emory Univ, Hubert Dept Global Hlth, Atlanta, GA 30322 USA
[3] McKing Consulting Corp, Atlanta, GA USA
[4] Icddr B, Nutr & Clin Serv Div, Dhaka, Bangladesh
[5] Univ Rhode Isl, Dept Nutr & Food Sci, Kingston, RI 02881 USA
[6] Emory Univ, Emory Global Hlth Inst, Atlanta, GA 30322 USA
[7] Emory Univ, Dept Pediat, Atlanta, GA 30322 USA
[8] US CDC, Div Nutr Phys Act & Obes, Atlanta, GA USA
来源
基金
比尔及梅琳达.盖茨基金会;
关键词
double burden of malnutrition; preschool children; anemia; overweight/obesity; micronutrients; BIOMARKERS REFLECTING INFLAMMATION; MIDDLE-INCOME COUNTRIES; NUTRITIONAL DETERMINANTS; SYSTEMATIC ANALYSIS; MALNUTRITION; POPULATION; OBESITY; TRENDS; UNDERNUTRITION; PREVALENCE;
D O I
10.1093/ajcn/nqaa101
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
Background: Child overweight prevalence is increasing globally, but micronutrient deficiencies persist. Objectives: We aimed to 1) describe the prevalence and distribution of intraindividual double burden of malnutrition (DBM), defined as coexistence of overweight or obesity (OWOB) and either micronutrient deficiencies or anemia, among preschool children; 2) assess the independence of DBM components, e.g., whether the prevalence of DBM is greater than what would be expected by chance; and 3) identify predictors of intraindividual DBM, to guide intervention targeting. Methods: We analyzed data from 24 population-based surveys from the Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia project (separately by survey; n = 226 to n = 7166). We defined intraindividual DBM as coexisting OWOB and >= 1 micronutrient deficiency [e.g., Micronutrient Deficiency Index (MDI) > 0; DBM-MDI] or anemia (DBM-Anemia). We assessed independence of DBM components with the Rao-Scott chi-square test and examined predictors of DBM and its components with logistic regression. Results: DBM prevalence ranged from 0% to 9.7% (median: 2.5%, DBM-MDI; 1.4%, DBM-Anemia), reflecting a lower prevalence of OWOB (range: 0%-19.5%) than of micronutrient deficiencies and anemia, which exceeded 20% in most surveys. OWOB was generally not significantly associated with micronutrient deficiencies or anemia. In more than half of surveys, children 6-23 mo of age, compared with >= 24 mo, had greater adjusted odds of DBM-Anemia, anemia, and micronutrient deficiencies. Child sex and household socioeconomic status, urban location, and caregiver education did not consistently predict DBM or its components. Conclusions: Intraindividual DBM among preschool children was low but might increase as child OWOB increases. The analysis does not support the hypothesis that DBM components cluster within individuals, suggesting that population-level DBM may be addressed by programs to reduce DBM components without targeting individuals with DBM.
引用
收藏
页码:478S / 487S
页数:10
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