Anemia Among Children Under 5 Years in India: A District-Level Spatial Analysis Using NFHS-5 Data

Asia-Pacific Journal of Public Health - Tập 34 Số 2-3 - Trang 206-212 - 2022
Amitha Puranik1, N Shreya1
1Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal, India

Tóm tắt

The 2015/2016 National Family Health Survey (NFHS-4) revealed that the prevalence of anemia among children under five years is 58% in India. Lack of nutritional supplementation and lack of health care facilities are found to be important influential factors of anemia among children. We aimed to examine district-level spatial heterogeneity and clustering of associated factors with childhood anemia in India. Geographically weighted regression was applied on the NFHS-5 data for 335 districts. Factors such as prevalence of nutritional supplementation in children and mothers, birth order, antenatal care, diarrhea in children, and stunting were found to be significantly associated. Spatial scan statistics technique identified three significant local spatial clusters of anemia. This study provides findings based on the latest available data which can further assist in the design and execution of tailor-made policies.

Từ khóa


Tài liệu tham khảo

World Health Organization. Anaemia. Accessed April 13, 2021. https://www.who.int/health-topics/anaemia

World Health Organization. Global health observatory data repository/world health statistics. Accessed April 25, 2021. https://data.worldbank.org/indicator/SH.ANM.CHLD.ZS.

10.4103/ijmr.IJMR_1730_16

10.4103/ijmr.IJMR_1782_18

10.1007/s12098-019-02932-5

10.1007/s12031-019-01276-1

10.3390/ijerph18063105

10.1177/1010539513491417

10.1038/s41598-019-52793-3

International Institute for Population Sciences (IIPS) and ICF. National Family Health Survey (NFHS-5), 2019-20: India. Mumbai: International Institute for Population Sciences. Accessed October 27, 2021. http://rchiips.org/nfhs/index.shtml.

10.1201/9780429492259

10.1017/CBO9780511754944

10.1007/978-1-4612-1578-3_14

Fotheringham AS, 2003, Geographically weighted regression: the analysis of spatially varying relationships

10.1016/j.cegh.2021.100768

10.3390/nu13072397

10.1371/journal.pone.0210634

10.3389/fpubh.2020.00234

10.3389/fpubh.2019.00191

10.1016/j.puhe.2018.11.019

10.1186/s12889-021-10601-6

10.1016/j.cegh.2019.06.009

10.1136/bmjgh-2018-001010

10.1371/journal.pone.0209044

10.1371/journal.pone.0219170

10.1016/j.cegh.2020.04.009

10.1038/s41598-020-63210-5