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What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia
OBJECTIVE: To assess a broad range of factors associated with pre-pregnancy nutritional status, a key step towards improving maternal and child health outcomes, in Ethiopia. DESIGN: A baseline data analysis of a population-based prospective study. SETTING: Kilite-Awlaelo Health and Demographic Surve...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240578/ https://www.ncbi.nlm.nih.gov/pubmed/34183336 http://dx.doi.org/10.1136/bmjopen-2020-043484 |
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author | Misgina, Kebede Haile Boezen, H Marike van der Beek, Eline M Mulugeta, Afework Groen, Henk |
author_facet | Misgina, Kebede Haile Boezen, H Marike van der Beek, Eline M Mulugeta, Afework Groen, Henk |
author_sort | Misgina, Kebede Haile |
collection | PubMed |
description | OBJECTIVE: To assess a broad range of factors associated with pre-pregnancy nutritional status, a key step towards improving maternal and child health outcomes, in Ethiopia. DESIGN: A baseline data analysis of a population-based prospective study. SETTING: Kilite-Awlaelo Health and Demographic Surveillance Site, eastern zone of Tigray regional state, northern Ethiopia. PARTICIPANTS: We used weight measurements of all 17 500 women of reproductive age living in the surveillance site between August 2017 and October 2017 as a baseline. Subsequently, 991 women who became pregnant were included consecutively at an average of 14.8 weeks (SD: 1.9 weeks) of gestation between February 2018 and September 2018. Eligible women were married, aged 18 years or older, with a pre-pregnancy weight measurement performed, and a gestational age ≤20 weeks at inclusion. OUTCOME MEASURES: The outcome measure was pre-pregnancy nutritional status assessed by body mass index (BMI) and mid-upper arm circumference (MUAC). Undernutrition was defined as BMI of <18.5 kg/m(2) and/or MUAC of <21.0 cm. BMI was calculated using weight measured before pregnancy, and MUAC was measured at inclusion. Linear and spline regressions were used to identify factors associated with pre-pregnancy nutritional status as a continuous and Poisson regression with pre-pregnancy undernutrition as a dichotomous variable. RESULTS: The mean pre-pregnancy BMI and MUAC were 19.7 kg/m(2) (SD: 2.0 kg/m(2)) and 22.6 cm (SD: 1.9 cm), respectively. Overall, the prevalence of pre-pregnancy undernutrition was 36.2% based on BMI and/or MUAC. Lower age, not being from a model household, lower values of women empowerment score, food insecurity, lower dietary diversity, regular fasting and low agrobiodiversity showed significant associations with lower BMI and/or MUAC. CONCLUSION: The prevalence of pre-pregnancy undernutrition in our study population was very high. The pre-pregnancy nutritional status could be improved by advancing community awareness on dietary practice and gender equality, empowering females, raising agricultural productivity and strengthening health extension. Such changes require the coordinated efforts of concerned governmental bodies and religious leaders in the Ethiopian setting. |
format | Online Article Text |
id | pubmed-8240578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-82405782021-07-13 What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia Misgina, Kebede Haile Boezen, H Marike van der Beek, Eline M Mulugeta, Afework Groen, Henk BMJ Open Epidemiology OBJECTIVE: To assess a broad range of factors associated with pre-pregnancy nutritional status, a key step towards improving maternal and child health outcomes, in Ethiopia. DESIGN: A baseline data analysis of a population-based prospective study. SETTING: Kilite-Awlaelo Health and Demographic Surveillance Site, eastern zone of Tigray regional state, northern Ethiopia. PARTICIPANTS: We used weight measurements of all 17 500 women of reproductive age living in the surveillance site between August 2017 and October 2017 as a baseline. Subsequently, 991 women who became pregnant were included consecutively at an average of 14.8 weeks (SD: 1.9 weeks) of gestation between February 2018 and September 2018. Eligible women were married, aged 18 years or older, with a pre-pregnancy weight measurement performed, and a gestational age ≤20 weeks at inclusion. OUTCOME MEASURES: The outcome measure was pre-pregnancy nutritional status assessed by body mass index (BMI) and mid-upper arm circumference (MUAC). Undernutrition was defined as BMI of <18.5 kg/m(2) and/or MUAC of <21.0 cm. BMI was calculated using weight measured before pregnancy, and MUAC was measured at inclusion. Linear and spline regressions were used to identify factors associated with pre-pregnancy nutritional status as a continuous and Poisson regression with pre-pregnancy undernutrition as a dichotomous variable. RESULTS: The mean pre-pregnancy BMI and MUAC were 19.7 kg/m(2) (SD: 2.0 kg/m(2)) and 22.6 cm (SD: 1.9 cm), respectively. Overall, the prevalence of pre-pregnancy undernutrition was 36.2% based on BMI and/or MUAC. Lower age, not being from a model household, lower values of women empowerment score, food insecurity, lower dietary diversity, regular fasting and low agrobiodiversity showed significant associations with lower BMI and/or MUAC. CONCLUSION: The prevalence of pre-pregnancy undernutrition in our study population was very high. The pre-pregnancy nutritional status could be improved by advancing community awareness on dietary practice and gender equality, empowering females, raising agricultural productivity and strengthening health extension. Such changes require the coordinated efforts of concerned governmental bodies and religious leaders in the Ethiopian setting. BMJ Publishing Group 2021-06-28 /pmc/articles/PMC8240578/ /pubmed/34183336 http://dx.doi.org/10.1136/bmjopen-2020-043484 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Epidemiology Misgina, Kebede Haile Boezen, H Marike van der Beek, Eline M Mulugeta, Afework Groen, Henk What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title | What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title_full | What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title_fullStr | What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title_full_unstemmed | What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title_short | What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia |
title_sort | what factors are associated with pre-pregnancy nutritional status? baseline analysis of the kite cohort: a prospective study in northern ethiopia |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240578/ https://www.ncbi.nlm.nih.gov/pubmed/34183336 http://dx.doi.org/10.1136/bmjopen-2020-043484 |
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