Alysa Pomer1, Giavana Buffa2, Fasihah Taleo3, J Hunter Sizemore4, Apisai Tokon3, George Taleo3, Len Tarivonda3, Chim W Chan5, Akira Kaneko5, Kelsey N Dancause6. 1. a Department of Chronic Disease Epidemiology , Yale School of Public Health , New Haven , CT , USA. 2. b Ross University School of Medicine , Portsmouth , Dominica. 3. c Ministry of Health , Port Vila , Republic of Vanuatu. 4. d Peace Corps Vanuatu , Port Vila , Republic of Vanuatu (former). 5. e Island Malaria Group, Department of Microbiology, Tumor and Cell Biology (MTC) , Karolinska Institutet , Stockholm , Sweden. 6. f Départment des sciences de l'activité physique , Université du Québec à Montréal , Montréal , QC , Canada.
Abstract
BACKGROUND: Maternal stress during pregnancy is associated with birth outcomes, including birthweight. Exposure to natural disasters during pregnancy provides a model to study these relationships. However, few studies assess both stress and diet, which might have interactive effects. Furthermore, most are conducted in high-income countries. Patterns might differ in low- and middle-income countries (LMICs). AIM: To study relationships between stress and diet during pregnancy, and infant birthweight, following a natural disaster in a lower-middle income country. SUBJECTS AND METHODS: In 2015, the island nation of Vanuatu suffered a Category 5 cyclone. Three months later, the authors assessed hardship due to the cyclone, distress, and dietary diversity among 900 women, including 187 pregnant women. Of these, 70 had birth records available. Multivariate linear regression was used to analyse relationships between cyclone exposure and infant birthweight among this sub-sample. RESULTS: Neither hardship nor dietary diversity predicted birthweight. Distress was a robust predictor, explaining 8.5% of variance (p = 0.012). There were no interactive relationships between distress and other exposure variables. CONCLUSIONS: Maternal distress following a natural disaster has important implications for maternal and child health. In LMICs, low birthweight remains a pressing public health concern. Distress during pregnancy might represent one underlying risk factor.
BACKGROUND: Maternal stress during pregnancy is associated with birth outcomes, including birthweight. Exposure to natural disasters during pregnancy provides a model to study these relationships. However, few studies assess both stress and diet, which might have interactive effects. Furthermore, most are conducted in high-income countries. Patterns might differ in low- and middle-income countries (LMICs). AIM: To study relationships between stress and diet during pregnancy, and infant birthweight, following a natural disaster in a lower-middle income country. SUBJECTS AND METHODS: In 2015, the island nation of Vanuatu suffered a Category 5 cyclone. Three months later, the authors assessed hardship due to the cyclone, distress, and dietary diversity among 900 women, including 187 pregnant women. Of these, 70 had birth records available. Multivariate linear regression was used to analyse relationships between cyclone exposure and infant birthweight among this sub-sample. RESULTS: Neither hardship nor dietary diversity predicted birthweight. Distress was a robust predictor, explaining 8.5% of variance (p = 0.012). There were no interactive relationships between distress and other exposure variables. CONCLUSIONS: Maternal distress following a natural disaster has important implications for maternal and child health. In LMICs, low birthweight remains a pressing public health concern. Distress during pregnancy might represent one underlying risk factor.
Entities:
Keywords:
DOHaD; Vanuatu; low birthweight; maternal and child health; mental health
Authors: Sandra Lafortune; David P Laplante; Guillaume Elgbeili; Xinyuan Li; Stéphanie Lebel; Christian Dagenais; Suzanne King Journal: Int J Environ Res Public Health Date: 2021-08-06 Impact factor: 4.614
Authors: Ann-Sophie Therrien; Giovanna Buffa; Amanda B Roome; Elizabeth Standard; Alysa Pomer; Jimmy Obed; George Taleo; Len Tarivonda; Chim W Chan; Akira Kaneko; Kathryn M Olszowy; Kelsey N Dancause Journal: Int J Environ Res Public Health Date: 2020-10-08 Impact factor: 3.390