Publication:
Factors affecting anaemia among women of reproductive age in Nepal: A multilevel and spatial analysis

dc.contributor.authorDev Ram Sunuwaren_US
dc.contributor.authorDevendra Raj Singhen_US
dc.contributor.authorBipin Adhikarien_US
dc.contributor.authorSantosh Shresthaen_US
dc.contributor.authorPranil Man Singh Pradhanen_US
dc.contributor.otherPurbanchal Universityen_US
dc.contributor.otherTribhuvan Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherNepalese Society of Community Medicine (NESCOM)en_US
dc.contributor.otherAgricultural Technology Centeren_US
dc.contributor.otherArmed Police Force Hospitalen_US
dc.date.accessioned2022-08-04T09:28:45Z
dc.date.available2022-08-04T09:28:45Z
dc.date.issued2021-03-29en_US
dc.description.abstractObjective The main objective of this study was to explore the factors affecting anaemia among women of reproductive age (WRA) in Nepal using spatial and multilevel epidemiological analysis. Design This cross-sectional study analysed data from the 2016 Nepal Demographic and Health Survey. Spatial analysis was performed using ArcGIS software V.10.8 to identify the hot and cold spots of anaemia among WRA (15-49 years). Data were analysed using multilevel mixed-effect logistic regression analysis. Setting Nepal. Participants A total of 6414 WRA were included in the analysis. Main outcome measure Anaemia defined by WHO as haemoglobin level less than 120 g/L in non-pregnant women and less than 110 g/L in pregnant women. Results The spatial analysis showed that statistically significant hotspots of anaemia were in the southern Terai region (four districts in province 1, eight districts in province 2, one district in Bagmati province, two districts in province 5 and one district in Sudurpaschim province) of Nepal. At the individual level, women who underwent female sterilisation (adjusted OR, aOR: 3.61, 95% CI 1.10 to 11.84), with no education (aOR: 1.99, 95% CI: 1.17 to 3.39), and from middle socioeconomic class families (aOR: 1.65, 95% CI: 1.02 to 2.68) were more likely to be anaemic, whereas, older women (>35 years) (aOR: 0.51, 95% CI: 0.26 to 0.97) and those women who were using hormonal contraceptives (aOR: 0.63, 95% CI: 0.43 to 0.90) were less likely to be anaemic. At the community level, women from province 2 (aOR=2.97, 95% CI: 1.52 to 5.82) had higher odds of being anaemic. Conclusion WRA had higher odds of developing anaemia, and it varied by the geographical regions. Nutrition-specific and nutrition-sensitive interventions can be tailored based on the factors identified in this study to curb the high burden of anaemia.en_US
dc.identifier.citationBMJ Open. Vol.11, No.3 (2021)en_US
dc.identifier.doi10.1136/bmjopen-2020-041982en_US
dc.identifier.issn20446055en_US
dc.identifier.other2-s2.0-85103470245en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/78344
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103470245&origin=inwarden_US
dc.subjectMedicineen_US
dc.titleFactors affecting anaemia among women of reproductive age in Nepal: A multilevel and spatial analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103470245&origin=inwarden_US

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