Factors associated with postpartum weight retention based on the generalized estimation equation in Kaifu Districtin Changsha.
10.11817/j.issn.1672-7347.2019.01.010
- Author:
Ling LI
1
;
Yan YAN
1
;
Tingting SHA
1
;
Xiao GAO
1
;
Qiong HE
1
;
Cheng CHEN
1
;
Gang CHENG
1
;
Xialing WU
1
;
Qianling TIAN
1
;
Fan YANG
1
;
Shiping LIU
1
;
Guangyu ZENG
1
;
Qiang YAN
2
Author Information
1. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China.
2. Kaifu District Health Bureau, Changsha 410008, China.
- Publication Type:Journal Article
- MeSH:
Body Mass Index;
Female;
Gestational Weight Gain;
Humans;
Obesity;
Overweight;
Postpartum Period;
Pregnancy
- From:
Journal of Central South University(Medical Sciences)
2019;44(1):59-66
- CountryChina
- Language:Chinese
-
Abstract:
To investigate the current status of the postpartum weight retention (PPWR) in Kaifu District of Changsha, and explore the influential factors with PPWR based on the generalized estimating equation model.
Methods: A cluster sampling method was applied to select women who gave birth at the health service centers of 3 street communities in Kaifu District of Changsha during 2015. According to the inclusion and exclusion criteria, 783 cases were finally included in the study. Data on PPWR were collected prospectively by using the self-made questionnaire at 1, 3, 6 and 8 months after childbirth. Analysis were performed to investigate the associations between PPWR and its potential factors with generalized estimation equation model.
Results: The mean PPWR of women was gradually decreased with the increase of postpartum time, and 34.6% of them have returned to the pre-pregnancy weight in the 8 months postpartum. Our findings revealed that gestation weight gain (GWG), pre-pregnancy body mass index, feeding patterns, and delivery mode were significantly associated with maternal PPWR (P<0.05). In contrast, maternal age, educational level, per capita income of family, parity and postpartum depression were not contributed to PPWR (P>0.05).
Conclusion: GWG is one of the most important predictors for PPWR. The key to reducing PPWR is to control GWG systematically. Early targeted interventions and health education should be taken to prevent women from excessive PPWR at the first-year postpartum, in particular to the women who underwent cesarean deliveries and breastfed their infants. It is conducive to reduce the risks of overweight or obesity caused by PPWR.
