Rural-urban differentials in the relationship between household wealth index and maternal anaemia status in Nigeria

Awoleye, Abayomi Folorunso; Alawode, Oluwatobi Abel; Chapot, Victor; Okunlola, David Aduragbemi; Obiesie, Sopuruchukwu

doi:10.1080/07399332.2022.2078327

Cited by 8 publications

(4 citation statements)

References 37 publications

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“…This may be because coming from wealthier households could also mean that women also access better health services and healthier, su cient food than their counterparts with less income. This agrees with results from several studies conducted in Tanzania, Sri Lanka, Nigeria, Rwanda, Uganda and Ethiopia which found women with low wealth index being more likely to be anaemic [27,[40][41][42][43][44].…”

Section: Discussionsupporting

confidence: 92%

“…Pregnant women who were not working were almost twice more likely to be anaemic than those who were working. This is similar to ndings from studies done in East Africa and Nigeria which found a positive impact of working status on anaemia [33,39,40]. This may be partly because women who are working can afford nutritious food items required to meet their daily nutritional needs.…”

Section: Discussionsupporting

confidence: 87%

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Factors associated with anaemia among pregnant women in Rwanda: An analysis of the Rwanda Demographic and Health Survey of 2020

Nuwabaine¹,

Kawuki

Kamoga

et al. 2022

Preprint

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Background: Anemia in pregnancy is associated with several adverse outcomes for mothers and newborns, as well as their families. In this study, we assessed the prevalence of anaemia and the associated factors among pregnant women in Rwanda. Methods: Secondary data were from the 2020 Rwanda Demographic and Health Survey (RDHS). Multistage stratified sampling was used to select 435 pregnant women included in the study. Anaemia among pregnant women was considered as a haemoglobin value <11 g/dL. Multivariable logistic regression was used to assess the associated factors with anaemia in pregnancy, using SPSS (version 25). Results: Of the 435 pregnant women, 24.6%, (95%CI: 21.1-29.3) were anaemic. Not working (AOR=1.90, 95%CI: 1.08-3.33), being unmarried (AOR=1.23, 95%CI: 1.24-3.57), low wealth index (AOR=2.94, 95%CI: 1.19-7.30), second pregnancy trimester (AOR=1.36, 95%CI: 1.16-4.00), having big problems with distance to a nearby health facility (AOR= 2.34, 95%CI: 1.21-4.54), and normal body mass index (AOR=3.02, 95%CI: 1.63-5.60) were associated with higher odds of being anaemic. Having no health insurance (AOR=0.23, 95%CI: 0.06-0.91), being from the southern region (AOR=0.23, 95%CI: 0.08-0.68), and low husband/partner's education (AOR=0.24,95%CI: 0.06-0.97) were, however, associated with lower odds of being anaemic. Conclusions: Study findings indicate a high prevalence of anaemia in pregnancy, which was associated with several socio-demographics. There is a need for setting up mobile clinics and health facilities in hard-to-reach areas for easy accessibility to early anaemia screening services. Conducting mass screening for anaemia targeting pregnant women who are not working, the unmarried, those with a low wealth index, and those in their second pregnancy trimester would also be beneficial.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 87%

Factors associated with anaemia among pregnant women in Rwanda: An analysis of the Rwanda Demographic and Health Survey of 2020

Nuwabaine¹,

Kawuki

Kamoga

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…The gaps are significant and growing and contribute to higher anaemia prevalence in men with no education. The key to eliminating health disparities and enhancing population health is comprehending the conditions in which this link emerges and operates [39][40][41]. Our results suggest that in rural India, education is a significant predictor of anaemia, and bivariate LISA map clearly demonstrated that a lack of education is an obstruction to anaemia reduction in eastern India.…”

Section: Discussionmentioning

confidence: 66%

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

Singh,

Ram,

Chandra

et al. 2024

Int J Equity Health

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Background Despite 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. Methods The 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. Results In 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. Conclusions Substantial 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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“…Likewise, the odds of suffering from anemia are greater along with decreasing financial status and conditions whatever their address was, but it has been demonstrated that the odds are greater if a poor woman belongs to urban areas as compared to similar ones in rural places after covariates have been adjusted. 17 According to a study conducted in Nepal, women living in rural parts of the country had 68.1% anemia as compared to only 31.9% among those women who live in urban areas. 18 Although our study does not reveal an association with educational status, low educational standards do have a role in the higher prevalence of iron deficit.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of anemia and its associated factors among women of reproductive age group attending Gaur Provincial Hospital: A cross-sectional study

Chaurasiya¹,

Gurung²,

Karki³

et al. 2022

F1000Res

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Background: Anemia is a principal public health concern. Worldwide one-third of women of reproductive age are affected. A 2016 survey showed that 41% of women in Nepal had anemia with the highest prevalence in Pradesh two. A complex interaction among socio-political, biological, and ecological elements determines anemia. Assessing the factors would help in minimizing anemia and its consequences. The study aimed to determine the prevalence of anemia in the reproductive age group and the factors affecting anemia. Methods: A hospital-based cross-sectional study was conducted among women of the reproductive age group (15–45) from 15th April to 15th June 2022 after ethical clearance was obtained from the Nepal health research council (Ref. 2737/2022). Regarding data collection, 375 women participants were selected via a simple random sampling technique. Participants underwent an interview after informed written consent followed by blood sample collection. Through a semi-structured questionnaire, the data was obtained. Then data entry and its analysis were performed via Microsoft Excel 2019 and Statistical Package for Social Sciences version 22.0. Results: The study showed that 229 (61.3%) females of the reproductive age group had anemia. Inadequate nutrition (OR 3.0, 1.9–5.0), breastfeeding (OR 7.3, 4.5–11.9), and rural place of residence (OR 4.2, 2.5–7.0) were significantly associated with anemia, with a corresponding odds ratio at 95% confidence each. Conclusions: The prevalence of anemia was higher among women of the reproductive age group compared to provincial and national prevalence. The interventions should be focused on breastfeeding, nutrition, and rural women to combat anemia.

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Rural-urban differentials in the relationship between household wealth index and maternal anaemia status in Nigeria

Cited by 8 publications

References 37 publications

Factors associated with anaemia among pregnant women in Rwanda: An analysis of the Rwanda Demographic and Health Survey of 2020

Factors associated with anaemia among pregnant women in Rwanda: An analysis of the Rwanda Demographic and Health Survey of 2020

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

Prevalence of anemia and its associated factors among women of reproductive age group attending Gaur Provincial Hospital: A cross-sectional study

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