4.6 Article

What factors are associated with pre-pregnancy nutritional status? Baseline analysis of the KITE cohort: a prospective study in northern Ethiopia

Journal

BMJ OPEN
Volume 11, Issue 6, Pages -

Publisher

BMJ PUBLISHING GROUP
DOI: 10.1136/bmjopen-2020-043484

Keywords

preventive medicine; nutrition & dietetics; epidemiology

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This study found a very high prevalence of pre-pregnancy undernutrition in the Ethiopian study population, with factors such as younger age, not being from a model household, lower women empowerment scores, food insecurity, lower dietary diversity, regular fasting, and low agrobiodiversity being associated with lower BMI and/or MUAC. Improving pre-pregnancy nutritional status could be achieved through advancing community awareness on dietary practices and gender equality, empowering females, increasing agricultural productivity, and strengthening health extension services.
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.

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