A district-level geospatial analysis of anaemia prevalence among rural men in India, 2019-21

被引:0
|
作者
Singh, Aditya [1 ,5 ]
Ram, Sumit [1 ]
Chandra, Rakesh [2 ]
Tanti, Arabindo [3 ]
Singh, Shivani [4 ]
Kundu, Ananya [4 ]
机构
[1] Banaras Hindu Univ, Dept Geog, Varanasi, India
[2] Tata Inst Social Sci, Sch Hlth Syst Studies, Mumbai, India
[3] Cent Univ Kerala, Dept Publ Hlth & Community Med, Kasaragod, India
[4] Univ Calcutta, Dept Geog, Kolkata, India
[5] Populat Council, Girl Innovat Res & Learning GIRL Ctr, New York, NY 10017 USA
关键词
Men's anaemia; Men's health; India; Spatial analysis; Spatial autocorrelation; Moran's I; HEALTH; POVERTY; BURDEN;
D O I
10.1186/s12939-023-02089-w
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDespite its considerable impact on health and productivity, anemia among men has received limited attention. In a country as diverse as India, characterized by extensive geographic variations, there is a pressing need to investigate the nuanced spatial patterns of anemia prevalence among men. The identification of specific hotspots holds critical implications for policymaking, especially in rural areas, where a substantial portion of India's population resides.MethodsThe study conducted an analysis on a sample of 61,481 rural men from 707 districts of India, utilizing data from the National Family Health Survey-5 (2019-21). Various analytical techniques, including Moran's I, univariate LISA (Local Indicators of Spatial Association), bivariate LISA, and spatial regression models such as SLM (Spatial Lag Model), and SEM (Spatial Error Model) were employed to examine the geographic patterns and spatial correlates of anaemia prevalence in the study population.ResultsIn rural India, three out of every ten men were found to be anemic. The univariate Moran's I value for anaemia was 0.66, indicating a substantial degree of spatial autocorrelation in anaemia prevalence across the districts in India. Cluster and outlier analysis identified five prominent 'hotspots' of anaemia prevalence across 97 districts, primarily concentrated in the eastern region (encompassing West Bengal, Jharkhand, and Odisha), the Dandakaranya region, the Madhya Pradesh-Maharashtra border, lower Assam, and select districts in Jammu and Kashmir. The results of SLM revealed significant positive association between anaemia prevalence at the district-level and several key factors including a higher proportion of Scheduled Tribes, men in the 49-54 years age group, men with limited or no formal education, individuals of the Muslim faith, economically disadvantaged men, and those who reported alcohol consumption.ConclusionsSubstantial spatial heterogeneity in anaemia prevalence among men in rural India suggests the need for region-specific targeted interventions to reduce the burden of anaemia among men in rural India and enhance the overall health of this population.
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页数:13
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