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Population estimates and determinants of severe maternal thinness in India
OBJECTIVE: To examine prevalence, risk factors, and consequences of maternal severe thinness in India. METHODS: This mixed methods study analyzed data from the Indian National Family Health Survey (NFHS)‐4 (2015–2016) to estimate the prevalence of and risk factors for severe thinness, followed by a...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597590/ https://www.ncbi.nlm.nih.gov/pubmed/34724208 http://dx.doi.org/10.1002/ijgo.13940 |
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author | Choedon, Tashi Sethi, Vani Chowdhury, Ranadip Bhatia, Neena Dinachandra, Konsam Murira, Zivai Bhanot, Arti Baswal, Dinesh de Wagt, Arjan Bhargava, Madhavi Meshram, Indrapal Ishwarji Babu, Giridhara R. Kulkarni, Bharati Divakar, Hema Jacob, Chandni Maria Killeen, Sarah Louise McAuliffe, Fionnuala Alambusha, Ruby Joe, William Hanson, Mark |
author_facet | Choedon, Tashi Sethi, Vani Chowdhury, Ranadip Bhatia, Neena Dinachandra, Konsam Murira, Zivai Bhanot, Arti Baswal, Dinesh de Wagt, Arjan Bhargava, Madhavi Meshram, Indrapal Ishwarji Babu, Giridhara R. Kulkarni, Bharati Divakar, Hema Jacob, Chandni Maria Killeen, Sarah Louise McAuliffe, Fionnuala Alambusha, Ruby Joe, William Hanson, Mark |
author_sort | Choedon, Tashi |
collection | PubMed |
description | OBJECTIVE: To examine prevalence, risk factors, and consequences of maternal severe thinness in India. METHODS: This mixed methods study analyzed data from the Indian National Family Health Survey (NFHS)‐4 (2015–2016) to estimate the prevalence of and risk factors for severe thinness, followed by a desk review of literature from India. RESULTS: Prevalence of severe thinness (defined by World Health Organization as body mass index [BMI] <16 in adult and BMI for age Z score < –2 SD in adolescents) was higher among pregnant adolescents (4.3%) compared with pregnant adult women (1.9%) and among postpartum adolescent women (6.3%) than postpartum adult women (2.4%) 2–6 months after delivery. Identified research studies showed prevalence of 4%–12% in pregnant women. Only 13/640 districts had at least three cases of severely thin pregnant women; others had lower numbers. Three or more postpartum women aged ≥20 years were severely thin in 32 districts. Among pregnant adolescents, earlier parity increased odds (OR 1.96; 95% CI, 1.18–3.27) of severe thinness. Access to household toilet facility reduced odds (OR 0.72; 95% CI, 0.52–0.99]. Among mothers aged ≥20 years, increasing education level was associated with decreasing odds of severe thinness (secondary: OR 0.74; 95% CI, 0.57–0.96 and Higher: OR 0.54; 95% CI, 0.32–0.91, compared with no education); household wealth and caste were also associated with severe thinness. CONCLUSION: This paper reveals the geographic pockets that need priority focus for managing severe thinness among pregnant women and mothers in India to limit the immediate and intergenerational adverse consequences emanating from these deprivations. |
format | Online Article Text |
id | pubmed-8597590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85975902021-11-23 Population estimates and determinants of severe maternal thinness in India Choedon, Tashi Sethi, Vani Chowdhury, Ranadip Bhatia, Neena Dinachandra, Konsam Murira, Zivai Bhanot, Arti Baswal, Dinesh de Wagt, Arjan Bhargava, Madhavi Meshram, Indrapal Ishwarji Babu, Giridhara R. Kulkarni, Bharati Divakar, Hema Jacob, Chandni Maria Killeen, Sarah Louise McAuliffe, Fionnuala Alambusha, Ruby Joe, William Hanson, Mark Int J Gynaecol Obstet Special Articles OBJECTIVE: To examine prevalence, risk factors, and consequences of maternal severe thinness in India. METHODS: This mixed methods study analyzed data from the Indian National Family Health Survey (NFHS)‐4 (2015–2016) to estimate the prevalence of and risk factors for severe thinness, followed by a desk review of literature from India. RESULTS: Prevalence of severe thinness (defined by World Health Organization as body mass index [BMI] <16 in adult and BMI for age Z score < –2 SD in adolescents) was higher among pregnant adolescents (4.3%) compared with pregnant adult women (1.9%) and among postpartum adolescent women (6.3%) than postpartum adult women (2.4%) 2–6 months after delivery. Identified research studies showed prevalence of 4%–12% in pregnant women. Only 13/640 districts had at least three cases of severely thin pregnant women; others had lower numbers. Three or more postpartum women aged ≥20 years were severely thin in 32 districts. Among pregnant adolescents, earlier parity increased odds (OR 1.96; 95% CI, 1.18–3.27) of severe thinness. Access to household toilet facility reduced odds (OR 0.72; 95% CI, 0.52–0.99]. Among mothers aged ≥20 years, increasing education level was associated with decreasing odds of severe thinness (secondary: OR 0.74; 95% CI, 0.57–0.96 and Higher: OR 0.54; 95% CI, 0.32–0.91, compared with no education); household wealth and caste were also associated with severe thinness. CONCLUSION: This paper reveals the geographic pockets that need priority focus for managing severe thinness among pregnant women and mothers in India to limit the immediate and intergenerational adverse consequences emanating from these deprivations. John Wiley and Sons Inc. 2021-11-01 2021-12 /pmc/articles/PMC8597590/ /pubmed/34724208 http://dx.doi.org/10.1002/ijgo.13940 Text en © 2021 The Authors. International Journal of Gynecology & Obstetrics published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Articles Choedon, Tashi Sethi, Vani Chowdhury, Ranadip Bhatia, Neena Dinachandra, Konsam Murira, Zivai Bhanot, Arti Baswal, Dinesh de Wagt, Arjan Bhargava, Madhavi Meshram, Indrapal Ishwarji Babu, Giridhara R. Kulkarni, Bharati Divakar, Hema Jacob, Chandni Maria Killeen, Sarah Louise McAuliffe, Fionnuala Alambusha, Ruby Joe, William Hanson, Mark Population estimates and determinants of severe maternal thinness in India |
title | Population estimates and determinants of severe maternal thinness in India |
title_full | Population estimates and determinants of severe maternal thinness in India |
title_fullStr | Population estimates and determinants of severe maternal thinness in India |
title_full_unstemmed | Population estimates and determinants of severe maternal thinness in India |
title_short | Population estimates and determinants of severe maternal thinness in India |
title_sort | population estimates and determinants of severe maternal thinness in india |
topic | Special Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8597590/ https://www.ncbi.nlm.nih.gov/pubmed/34724208 http://dx.doi.org/10.1002/ijgo.13940 |
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