2014
DOI: 10.1017/s1368980014001815
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Prediction of gestational weight gain – a biopsychosocial model

Abstract: Objective: To examine the influence of health behaviours and psychological well-being on gestational weight gain using a biopsychosocial model. Design: A prospective cohort study of pregnant women consecutively recruited at their first antenatal care visit. A self-administered questionnaire was used to collect data on health behaviours and psychological well-being in early pregnancy. Linear regression and logistic regression were used to identify predictors of total weight gain in kilograms and weight gain out… Show more

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Cited by 45 publications
(43 citation statements)
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“…Having a higher pre‐pregnancy BMI is a well‐established determinant of excessive GWG rate . In the present study the overweight and obese women were two–threefold more likely to have excessive GWG rate, and the weight of the fetus might contribute to the excessive GWG rate among overweight and obese women.…”
Section: Discussionmentioning
confidence: 48%
“…Having a higher pre‐pregnancy BMI is a well‐established determinant of excessive GWG rate . In the present study the overweight and obese women were two–threefold more likely to have excessive GWG rate, and the weight of the fetus might contribute to the excessive GWG rate among overweight and obese women.…”
Section: Discussionmentioning
confidence: 48%
“…Psychological distress and weight Electronic supplementary material The online version of this article (https://doi.org/10.1007/s12529-019-09832-0) contains supplementary material, which is available to authorized users. gain in pregnant women may also affect each other [14][15][16][17]. Two systematic reviews among, in total, 12 studies have been performed on the association between psychological distress and weight gain in pregnancy.…”
Section: Introductionmentioning
confidence: 99%
“…Despite the availability of these guidelines, only 30–40% of women are reported to gain within the recommended range; with most exceeding the guidelines (McDonald et al., 2011). Predictors of GWG include: pre-pregnancy weight; (Masho, Bishop & Munn, 2013; Rosal et al., 2016) socioeconomic status (SES); maternal health behaviours; (Ota et al., 2011; Heery et al., 2015) maternal age and parity (Vahratian, 2009). To date, the associations reported between race/ethnicity and discordant GWG have been diverse,(Shieh & Wu, 2014; Liu et al., 2014) likely a result of the variability in the definition of race/ethnicity and the social contexts in which they are examined.…”
Section: Introductionmentioning
confidence: 99%