TY - JOUR
T1 - Geographical variation and temporal trend in anemia among children aged 6-59 months in low- And middle-income countries during 2000-2018
T2 - forecasting the 2030 SDG target
AU - Hasan, Md Mehedi
AU - Magalhaes, Ricardo J.Soares
AU - Ahmed, Saifuddin
AU - Pervin, Sonia
AU - Tariqujjaman, Md
AU - Fatima, Yaqoot
AU - Mamun, Abdullah A.
N1 - Funding Information:
This research is supported partially by the Australian Government through the Australian Research Council's Centre of Excellence for Children and Families over the Life Course (Project ID CE200100025).
Publisher Copyright:
© The Author(s) 2021.
PY - 2021/12/9
Y1 - 2021/12/9
N2 - Objective: To examine geographical variations, trends and projections in the prevalence of childhood anemia at national and subpopulation levels. Design: Repeated cross-sectional Demographic and Health Survey (DHS) conducted during 2000-2018. Setting: Fifty-three low- and middle-income countries (LMIC) Participants: Totally, 776 689 children aged 6-59 months. Results: During the latest DHS rounds between 2005 and 2018, the prevalence of child anemia was > 20 % in fifty-two out of fifty-three countries and ranged from 15·9 % in Armenia in 2016 to 87·8 % in Burkina Faso in 2010. Out of thirty-six countries with at least two surveys during 2000-2018, the prevalence of child anemia decreased in twenty-two countries, highest in Zimbabwe (-4·2 %) and increased in fourteen countries, highest in Burundi (5·0 %). Based on the trend, eleven and twenty-two out of thirty-six countries are projected to experience, respectively, moderate and severe public health problem according to the WHO criteria (moderate problem: 20-39·9 % and severe problem: ≥ 40 %) due to child anemia in 2030, with the highest prevalence in Liberia (87·5 %, 95 % credible interval 52·0-98·8 %). The prevalence of child anemia varied across the mother's education and age, child sex, wealth quintiles, and place of residence, with the highest rate of child anemia among the poorest, rural and low-educated mothers. These scenarios are projected to continue. The probability of reducing child anemia at < 0·5 % by 2030 is 0 % for all study countries. Conclusions: The prevalence of child anemia varied between and within countries. None of the thirty-six LMIC is likely to eradicate child anemia by 2030.
AB - Objective: To examine geographical variations, trends and projections in the prevalence of childhood anemia at national and subpopulation levels. Design: Repeated cross-sectional Demographic and Health Survey (DHS) conducted during 2000-2018. Setting: Fifty-three low- and middle-income countries (LMIC) Participants: Totally, 776 689 children aged 6-59 months. Results: During the latest DHS rounds between 2005 and 2018, the prevalence of child anemia was > 20 % in fifty-two out of fifty-three countries and ranged from 15·9 % in Armenia in 2016 to 87·8 % in Burkina Faso in 2010. Out of thirty-six countries with at least two surveys during 2000-2018, the prevalence of child anemia decreased in twenty-two countries, highest in Zimbabwe (-4·2 %) and increased in fourteen countries, highest in Burundi (5·0 %). Based on the trend, eleven and twenty-two out of thirty-six countries are projected to experience, respectively, moderate and severe public health problem according to the WHO criteria (moderate problem: 20-39·9 % and severe problem: ≥ 40 %) due to child anemia in 2030, with the highest prevalence in Liberia (87·5 %, 95 % credible interval 52·0-98·8 %). The prevalence of child anemia varied across the mother's education and age, child sex, wealth quintiles, and place of residence, with the highest rate of child anemia among the poorest, rural and low-educated mothers. These scenarios are projected to continue. The probability of reducing child anemia at < 0·5 % by 2030 is 0 % for all study countries. Conclusions: The prevalence of child anemia varied between and within countries. None of the thirty-six LMIC is likely to eradicate child anemia by 2030.
KW - Childhood anemia
KW - Low- and middle-income countries
KW - Temporal analysis
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U2 - 10.1017/S1368980021002482
DO - 10.1017/S1368980021002482
M3 - Article
C2 - 34103114
AN - SCOPUS:85107587351
SN - 1368-9800
VL - 24
SP - 6236
EP - 6246
JO - Public health nutrition
JF - Public health nutrition
IS - 18
ER -