Chinese Medical E-ournals Database

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2017, Vol. 13 ›› Issue (03): 316 -320. doi: 10.3877/cma.j.issn.1673-5250.2017.03.013

Special Issue:

Original Article

Weight gain of pregnant women and its influencing factors

Jin Yan1, Tingting Wang1, Xiaotong Zhu1, Xiang Kong1,(), Ying Zheng1   

  1. 1. Yangzhou University Medical Academy, Yangzhou 225001, Jiangsu Province, China
  • Received:2017-02-10 Revised:2017-04-15 Published:2017-06-01
  • Corresponding author: Xiang Kong
  • About author:
    Corresponding author: Kong Xiang, Email:
Objective

To investigate the weight gain of pregnant women and its influencing factors.

Methods

A total of 458 pregnant women who gave birth in the Northern Jiangsu People′s Hospital from October 2014 to October 2015, were selected as the study subjects by convenient sampling method. Pregnancy Weight Gain Questionnaire which was self-designed was used in this study to investigate the weight gain during pregnancy. The weight gain differences of the pregnant women with underweight, normal weight, overweight and obesity before pregnancy were statistically compared. The influencing factors of the weight gain during pregnancy were analyzed by multiple linear regression analysis.

Results

①The average weight gain of 458 pregnant women was (15.6± 4.5) kg and the rate of excessive gestational weight gain (EGWG) was 41.5% (190/458). There were no significant differences among pregnant women with underweight, normal weight, overweight and obesity before pregnancy in gestational age at birth and weight gain during pregnancy (P>0.05). However, there were significant differences of constituent ratios of the weight gain during pregnancy among the four different body mass index (BMI) pregnant women (χ2=61.436, P<0.001). The pregnant women with underweight and normal weight before pregnancy had the majority of weight gain during pregnancy in line with standard weight gain during pregnancy (53.3% and 54.2%, respectively), but the pregnant women with overweight and obesity before pregnancy most were EGWG (72.2% and 83.3%, respectively). ②Multiple linear regression analysis of influencing factors of weight gain during pregnancy showed that the effects of influencing factors on weight gain during pregnancy from large to small in order were gravidity, BMI before pregnancy, parity, family monthly income, living place, education and age. With the pregnant women living in the city, increased gravidity and age, the weight gain during pregnancy were greater, while with the educational history, family monthly income, BIM before pregnancy and parity increased, the weight gain during pregnancy were smaller(P<0.001). The coefficient of determination R2 was 0.909 for the multiple linear regression model which containing these seven factors, and the established regression model was statistically significant(F=7 582, P<0.001).

Conclusions

Weight gain of pregnant women during pregnancy was affected by gravidity, BMI before pregnancy, parity, family monthly income, living place, education and age.

表1 不同孕前BMI孕妇分娩孕龄及孕期体重增长情况
表2 孕期体重增长影响因素的多重线性回归分析的变量含义及赋值情况
表3 孕期体重增长影响因素的多重线性回归分析结果
[1]
Skreden M, Øverby NC, Sagedal LR, et al. Change in active transportation and weight gain in pregnancy[J]. Int J Behav Nutr Phys Act, 2016, 13: 10.
[2]
Pettit KE, Lacoursiere DY, Schrimmer DB, et al. Maternal and neonatal outcomes in women with twin pregnancies with excessive gestational weight gain[J]. J Matern Fetal Neonatal Med, 2016, 29(13): 2182-2185.
[3]
Gresham E, Collins CE, Mishra GD, et al. Diet quality before or during pregnancy and the relationship with pregnancy and birth outcomes: the Australian Longitudinal Study on Women′s Health[J]. Public Health Nutr, 2016, 19(16): 2975-2983.
[4]
Waddington GS. Exercise and weight gain in pregnancy[J]. J Sci Med Sport, 2016, 19(4): 277.
[5]
Kolodziejczyk JK, Norman GJ, Roesch SC, et al. Exploratory and confirmatory factor analyses and demographic correlate models of the strategies for weight management measure for overweight or obese adults[J]. Am J Health Promot, 2015, 29(4): e147-e157.
[6]
Bandura A. Social cognitive theory: an agentic perspective[J]. Annu Rev Psychol, 2001, 52: 1-26.
[7]
Zhang CH, Liu XY, Zhan YW, et al. Effects of prepregnancy body mass index and gestational weight gain on pregnancy outcomes[J]. Asia Pac J Public Health, 2015, 27(6): 620-630.
[8]
郭洪花,张彩虹. 孕期体重管理的研究现状[J]. 中华护理杂志,2015, 50(6): 738-742.
[9]
葛可佑. 中国营养师培训教材[M]. 北京:人民卫生出版社,2013: 251-257.
[10]
Johnson J, Clifton RG, Roberts JM, et al. Pregnancy outcomes with weight gain above or below the 2009 institute of medicine guidelines[J]. Obstet Gynecol, 2013, 121(5): 969-975.
[11]
McIntyre HD, Gibbons KS, Flenady VJ, et al. Overweight and obesity in Australian mothers: epidemic or endemic[J]. Med J Aust, 2012, 196(3): 184-188.
[12]
Heslehurst N, Rankin J, Wilkinson JR, et al. A nationally representative study of maternal obesity in England, UK: trends in incidence and demographic inequalities in 619 323 births, 1989-2007[J]. Int J Obes (Lond), 2010, 34(3): 420-428.
[13]
金子环,马树祥,岳鹤津,等. 孕妇产前体重指数与分娩方式、新生儿体重的关系[J]. 现代预防医学,2009, 36(6): 1055-1056.
[14]
刘学敏,王桂喜,王伟,等. 沈阳地区孕妇孕前体重和孕期体重增加情况的调查分析[J]. 现代妇产科进展,2009, 18(11): 809-812.
[15]
Chen Z, Du J, Shao L, et al. Prepregnancy body mass index, gestational weight gain, and pregnancy outcomes in China[J]. Int J Gynaecol Obstet, 2010, 109(1): 41-44.
[16]
Liu Y, Dai W, Dai X, et al. Prepregnancy body mass index and gestational weight gain with the outcome of pregnancy: a 13-year study of 292 568 cases in China[J]. Arch Gynecol Obstet, 2012, 286(4): 905-911.
[17]
陈蔚,武明辉,张娣,等. 巨大儿的发生及其影响因素[J]. 中华妇幼临床医学杂志(电子版), 2013, 9(4): 397-401.
[18]
Bandura A. Self-efficacy: toward a unifying theory of behavioral change[J]. Psychol Rev, 1977, 84(2): 191-215.
[19]
袁静,丛林,潘发明,等. 妊娠期糖尿病危险因素分析[J]. 中国妇幼保健,2007, 22(33): 4659-4661.
[1] Jingyu Qian, Mingming Zheng. Interpretation of the Italian guidelines on non-invasive and invasive prenatal diagnosis:executive summary of recommendations for practice the Italian Society for Obstetrics and Gynecology(SIGO)[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2024, 20(05): 486-492.
[2] Xialin Li, Fang He. Risk assessment and early warning system for postpartum hemorrhage[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2024, 20(05): 498-503.
[3] Ziyang Liu, Jianjian Cui, Yin Zhao. Current research status on obstetric disseminated intravascular coagulation and its scoring system[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2024, 20(05): 511-518.
[4] Hongchu Huang, Meirong Huang, Lihong Wen. Risk factor analysis and risk prediction model of granulocytopenia infection after chemotherapy in patients with hematological malignancies[J]. Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition), 2024, 18(05): 285-292.
[5] Wenbin Luo, Wei Han. Analysis of risk factors related to moderate to severe myelosuppression in patients with pancreatic cancer after first chemotherapy and construction of prediction model[J]. Chinese Archives of General Surgery(Electronic Edition), 2024, 18(05): 357-362.
[6] Bin He, Jinfeng Ma. Risk factors for splenic hilar lymph node metastasis in gastric cancer[J]. Chinese Journal of Operative Procedures of General Surgery(Electronic Edition), 2024, 18(06): 694-699.
[7] Kai Lin, Yong Pan, Gaoping Zhao, Chun Yang. Analysis of risk factors and prevention strategy of incisional hernia after stoma reduction surgery[J]. Chinese Journal of Hernia and Abdominal Wall Surgery(Electronic Edition), 2024, 18(06): 634-638.
[8] Chuang Yang, Xue Ma. Analysis of risk factors for postoperative infection of abdominal wall hernia[J]. Chinese Journal of Hernia and Abdominal Wall Surgery(Electronic Edition), 2024, 18(06): 693-696.
[9] Yan Zhou, Ying Li, Xiaobing Zhou, Fahui Cheng, Hengzheng He. Efficacy of different types of mesh combined with Nissen fundoplication for repairing hiatal hernia and potential risk factors for recurrence[J]. Chinese Journal of Hernia and Abdominal Wall Surgery(Electronic Edition), 2024, 18(05): 528-533.
[10] Weiwei Zhang, Qi Chen, Heyu Weng, Liang Huang. Preliminary study on prediction of lymph node metastasis of T1 colorectal cancer by random forest model[J]. Chinese Journal of Colorectal Diseases(Electronic Edition), 2024, 13(05): 389-393.
[11] Nan Si, Hongtao Sun. Research progress on risk factors of renal dysfunction after traumatic brain injury[J]. Chinese Journal of Brain Diseases and Rehabilitation(Electronic Edition), 2024, 14(05): 300-305.
[12] Huiying Chen, Minshan Qiu, Hanquan Shao. Construction and application effect of risk factor model for intestinal mucosal barrier function damage induced by sepsis[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2024, 14(05): 448-452.
[13] Shirui Yan, Hui Xiong. Identification of risk factors for acute kidney injury in patients with infective endocarditis and prediction of death risk in such patients with acute kidney injury[J]. Chinese Journal of Clinicians(Electronic Edition), 2024, 18(07): 618-624.
[14] Wenzhe Li, Yi Wang, Jian Cui, Qihang Zheng, Jingyan Wang, Xiangyou Yu. Critically ill patients with acute renal dysfunction in Xinjiang Uygur Autonomous Region:A crosssection study[J]. Chinese Journal of Hygiene Rescue(Electronic Edition), 2024, 10(05): 269-276.
[15] Zhichao Liu, Fengyun Hu, Chunli Wen. Risk factors and geographical correlation of stroke in Shanxi Province[J]. Chinese Journal of Cerebrovascular Diseases(Electronic Edition), 2024, 18(05): 424-433.
Viewed
Full text


Abstract