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Background: Sufficient physical activity (PA) during pregnancy is beneficial for a woman's health; however, the PA levels of Chinese women at different pregnancy stages are not clear. The aim of our study was to investigate PA changes during pregnancy and the association of population characteristics with PA change among Chinese women. Methods: Data were obtained from 2485 participants who were enrolled in the multicentre prospective Chinese Pregnant Women Cohort Study. PA level was assessed in early pregnancy (mean = 10, 5–13 weeks of gestation) and again in mid-to-late pregnancy (mean = 32, 24–30 weeks of gestation) using the International Physical Activity Questionnaire short form (IPAQ-SF). Sufficient PA (≥ 600 MET min/week) in early pregnancy and insufficient PA in mid-to-late pregnancy indicated decreasing PA. Insufficient PA in early pregnancy and sufficient PA in mid-to-late pregnancy indicated increasing PA. The associations between demographic, pregnancy and health characteristics and PA changes were examined by multivariable logistic regression. Results: Total energy expenditure for PA increased significantly from early (median = 396 MET min/week) to mid-to-late pregnancy (median = 813 MET min/week) (P < 0.001), and 55.25% of the participants eventually had sufficient PA. Walking was the dominant form of PA. Women with sufficient PA levels in early pregnancy were more likely to have sufficient PA in mid-to-late pregnancy (OR 1.897, 95% CI 1.583–2.274). Women in West China and those in Central China were most and least likely, respectively, to have increasing PA (OR 1.387, 95% CI 1.078–1.783 vs. OR 0.721, 95% CI 0.562–0.925). Smoking was inversely associated with increasing PA (OR 0.480, 95% CI 0.242–0.955). Women with higher educational levels were less likely to have decreasing PA (OR 0.662, 95% CI 0.442–0.991). Conclusions: PA increased as pregnancy progressed, and walking was the dominant form of PA among Chinese women. Further research is needed to better understand correlates of PA change. [ABSTRACT FROM AUTHOR]

Aim: To investigate the association of dietary patterns with gestational depression and sleep disturbance. Methods: Women in early pregnancy were recruited from the Chinese Pregnant Women Cohort Study (CPWCS) through July 25th, 2017 to November 26th, 2018, and eventually 7615 participants were included in this study. The qualitative food frequency questionnaire (Q‐FFQ), Edinburgh Postnatal Depression Scale (EPDS), and the Pittsburgh Sleep Quality Index (PSQI) were used to assess dietary, depression and sleep quality during pregnancy, respectively. Dietary patterns were derived by factor analysis. Logistic regression was used to estimate the odds ratio (OR) and 95% confidence interval (95% CI) of each outcome according to quartiles of each dietary pattern. Results: Five dietary patterns were identified. Participants with the highest quartile in plant‐based pattern had a significantly lower likelihood of mental problems (OR: 95% CI for depression: 0.66, 0.55–0.79; sleep disturbance: 0.80, 0.68–0.93); Similar results were observed in vitamin‐rich pattern (OR: 95% CI for depression: 0.46, 0.38–0.55; sleep disturbance: 0.76, 0.65–0.89); However, contrary results were found in high‐fat pattern (OR: 95% CI for depression: 2.15, 1.25–1.85; sleep disturbance: 1.43, 1.22–1.67); In animal protein‐rich pattern, participants with the highest quartile had a decreased likelihood of depression (OR: 0.80, 95% CI: 0.67–0.96). As for bean products pattern, participants with the highest quartile had an increased risk of depression (OR: 1.28, 95% CI:1.06–1.53). Interactions of dietary patterns and lifestyles on mental disorders were observed. Conclusion: Dietary patterns were associated with gestational depression and sleep disturbance. Relevant departments and maternal and child health personnel should conduct health education for pregnant women and guide them to eat properly. [ABSTRACT FROM AUTHOR]

Background: This study aims to explore the relationships between pre-pregnancy body mass index (BMI), gestational weight gain (GWG), rate of GWG during the second and third trimesters (GWGrate) and birth weight among Chinese women.Methods: Women were enrolled by 24 hospitals in 15 different provinces in mainland China from July 25th, 2017 to 26 November 2018. Pre-pregnancy BMI, GWG and GWGrate were calculated and divided in to different groups. The multinomial logistic regression model and restrictive cubic spline model were used to explore the relationships.Results: Of the 3585 participants, women who were underweight, had insufficient GWG or GWGrate had 1.853-, 1850- or 1.524-fold higher risks for delivering small-for-gestational-age (SGA) infant compared with women who had normal BMI, sufficient GWG or GWGrate. Women who were overweight/obese, had excessive GWG or GWGrate had 1.996-, 1676- or 1.673-fold higher risks for delivering large-for-gestational-age (LGA) infant. The effects of GWG and GWGrate on birth weight varied by pre-pregnancy BMI statuses. Dose-response analysis demonstrated L-shaped and S-shaped relationships between pre-pregnancy BMI, GWG, GWGrate and neonatal birth weight.Conclusions: Pre-pregnancy BMI, GWG or GWGrate were associated with neonatal birth weight among Chinese women. Both body weight before and during pregnancy should be maintained within the recommendations to prevent abnormal birth weight. [ABSTRACT FROM AUTHOR]