The Australian & New Zealand journal of obstetrics & gynaecology · 2020
A cross-sectional study exploring obesity and pregnancy planning among women attending an antenatal clinic in Suva, Fiji.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Mudaliar Jyotishna, Nusair Pushpa, McCudden Lucy, Melville Peter, Rouse Ian, Black Kirsten
Аннотация
BACKGROUND: Pregnancy planning enables maternal health optimisation which is particularly important for women who have obesity and are at increased risk of adverse perinatal outcomes.
AIMS: The prevalence of pregnancy planning and its relationship to body mass index (BMI) was investigated in a cohort of women attending antenatal clinics in the main referral hospital in Suva, Fiji.
MATERIALS AND METHODS: The questionnaire captured health and socio-demographic data, anthropometry and asked about pregnancy planning.
RESULTS: Two thousand, two hundred and three pregnant women presenting for their first booking at the antenatal clinic were enrolled; 721 (37.4%) out of 1926 women with complete data reported they did not plan their pregnancy. A third of women (n = 633, 32.8%) had overweight and 805 (41.7%) had obesity. In multivariable analyses parity, employment status, marital status, and BMI were significantly associated with pregnancy planning. Compared to women of a healthy weight or underweight, women who have obesity were less likely to plan their pregnancy (adjusted odds ratio 0.742; 95% CI 0.569-0.967).
CONCLUSION: Tackling the cycle of obesity will require attention to preconception care and optimising weight before pregnancy.
AIMS: The prevalence of pregnancy planning and its relationship to body mass index (BMI) was investigated in a cohort of women attending antenatal clinics in the main referral hospital in Suva, Fiji.
MATERIALS AND METHODS: The questionnaire captured health and socio-demographic data, anthropometry and asked about pregnancy planning.
RESULTS: Two thousand, two hundred and three pregnant women presenting for their first booking at the antenatal clinic were enrolled; 721 (37.4%) out of 1926 women with complete data reported they did not plan their pregnancy. A third of women (n = 633, 32.8%) had overweight and 805 (41.7%) had obesity. In multivariable analyses parity, employment status, marital status, and BMI were significantly associated with pregnancy planning. Compared to women of a healthy weight or underweight, women who have obesity were less likely to plan their pregnancy (adjusted odds ratio 0.742; 95% CI 0.569-0.967).
CONCLUSION: Tackling the cycle of obesity will require attention to preconception care and optimising weight before pregnancy.