The University of Southampton
University of Southampton Institutional Repository

Population estimates and determinants of severe maternal thinness in India

Population estimates and determinants of severe maternal thinness in India
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 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.

Adolescent, Adult, Body Mass Index, Educational Status, Female, Health Surveys, Humans, India/epidemiology, Infant, Pregnancy, Prevalence, Thinness/epidemiology
0020-7292
380-397
Choedon, Tashi
04a6a1f7-d77d-4ee1-8ef5-1e7a4a7f7a06
Sethi, Vani
e36793e8-a35a-4f95-a9c9-b212818b7526
Chowdhury, Ranadip
9ad421c3-c996-442e-afae-587a28167621
Bhatia, Neena
f6cc8e23-743b-4152-b9b7-47150a379032
Dinachandra, Konsam
9a5925d6-20dd-4db6-80bb-123721db7b7c
Murira, Zivai
58b552a5-b390-4bef-9000-20e4261b090c
Bhanot, Arti
439954a9-5367-4370-afaa-11e30fd4c1d6
Baswal, Dinesh
47581c46-25e0-4440-a84e-4c387b5bb841
de Wagt, Arjan
865def60-1cc0-45b6-b64e-8450ccbe718f
Bhargava, Madhavi
2b0f9794-96fa-4c17-bbc3-9511316ba1db
Meshram, Indrapal Ishwarji
e2891dfa-84fc-4de8-855a-d5a38b52692e
Babu, Giridhara R.
9ddbf976-3b8c-4ee0-9d02-ec22f113392d
Kulkarni, Bharati
a2ced934-f432-446e-bb36-71b49833c6b4
Divakar, Hema
847ab2fc-4876-47b5-ba2a-77f2823fdc3f
Jacob, Chandni Maria
f72c15ac-ef6b-4144-95b3-31194541fe00
Killeen, Sarah Louise
de21cc0f-7735-43c8-9960-c6ad70d333b9
McAuliffe, Fionnuala
5d8a75e0-9ead-4b20-87c2-0e5b350b76d9
Alambusha, Ruby
3b858797-89ce-4fe1-93f6-07c494d44a2a
Joe, William
3f0d5b0a-2b2b-494b-b5ce-69796b8087a7
Hanson, Mark
1952fad1-abc7-4284-a0bc-a7eb31f70a3f
Choedon, Tashi
04a6a1f7-d77d-4ee1-8ef5-1e7a4a7f7a06
Sethi, Vani
e36793e8-a35a-4f95-a9c9-b212818b7526
Chowdhury, Ranadip
9ad421c3-c996-442e-afae-587a28167621
Bhatia, Neena
f6cc8e23-743b-4152-b9b7-47150a379032
Dinachandra, Konsam
9a5925d6-20dd-4db6-80bb-123721db7b7c
Murira, Zivai
58b552a5-b390-4bef-9000-20e4261b090c
Bhanot, Arti
439954a9-5367-4370-afaa-11e30fd4c1d6
Baswal, Dinesh
47581c46-25e0-4440-a84e-4c387b5bb841
de Wagt, Arjan
865def60-1cc0-45b6-b64e-8450ccbe718f
Bhargava, Madhavi
2b0f9794-96fa-4c17-bbc3-9511316ba1db
Meshram, Indrapal Ishwarji
e2891dfa-84fc-4de8-855a-d5a38b52692e
Babu, Giridhara R.
9ddbf976-3b8c-4ee0-9d02-ec22f113392d
Kulkarni, Bharati
a2ced934-f432-446e-bb36-71b49833c6b4
Divakar, Hema
847ab2fc-4876-47b5-ba2a-77f2823fdc3f
Jacob, Chandni Maria
f72c15ac-ef6b-4144-95b3-31194541fe00
Killeen, Sarah Louise
de21cc0f-7735-43c8-9960-c6ad70d333b9
McAuliffe, Fionnuala
5d8a75e0-9ead-4b20-87c2-0e5b350b76d9
Alambusha, Ruby
3b858797-89ce-4fe1-93f6-07c494d44a2a
Joe, William
3f0d5b0a-2b2b-494b-b5ce-69796b8087a7
Hanson, Mark
1952fad1-abc7-4284-a0bc-a7eb31f70a3f

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 and Hanson, Mark (2021) Population estimates and determinants of severe maternal thinness in India. International Journal of Gynecology and Obstetrics, 155 (3), 380-397. (doi:10.1002/ijgo.13940).

Record type: Article

Abstract

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.

Text
Intl J Gynecology Obste - 2021 - Choedon - Population estimates and determinants of severe maternal thinness in India - Version of Record
Available under License Creative Commons Attribution.
Download (2MB)

More information

Accepted/In Press date: 17 September 2021
e-pub ahead of print date: 1 November 2021
Published date: 1 November 2021
Keywords: Adolescent, Adult, Body Mass Index, Educational Status, Female, Health Surveys, Humans, India/epidemiology, Infant, Pregnancy, Prevalence, Thinness/epidemiology

Identifiers

Local EPrints ID: 453298
URI: http://eprints.soton.ac.uk/id/eprint/453298
ISSN: 0020-7292
PURE UUID: 055b754e-c545-4317-983f-02db14b75678
ORCID for Chandni Maria Jacob: ORCID iD orcid.org/0000-0002-2024-0074
ORCID for Mark Hanson: ORCID iD orcid.org/0000-0002-6907-613X

Catalogue record

Date deposited: 12 Jan 2022 17:37
Last modified: 18 Mar 2024 03:38

Export record

Altmetrics

Contributors

Author: Tashi Choedon
Author: Vani Sethi
Author: Ranadip Chowdhury
Author: Neena Bhatia
Author: Konsam Dinachandra
Author: Zivai Murira
Author: Arti Bhanot
Author: Dinesh Baswal
Author: Arjan de Wagt
Author: Madhavi Bhargava
Author: Indrapal Ishwarji Meshram
Author: Giridhara R. Babu
Author: Bharati Kulkarni
Author: Hema Divakar
Author: Sarah Louise Killeen
Author: Fionnuala McAuliffe
Author: Ruby Alambusha
Author: William Joe
Author: Mark Hanson ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×