切换至 "中华医学电子期刊资源库"

中华妇幼临床医学杂志(电子版) ›› 2017, Vol. 13 ›› Issue (03) : 316 -320. doi: 10.3877/cma.j.issn.1673-5250.2017.03.013

所属专题: 文献

论著

孕妇孕期体重增长情况及影响因素
严瑾1, 王亭婷1, 朱晓童1, 孔祥1,(), 郑英1   
  1. 1. 225001 江苏,扬州大学医学院
  • 收稿日期:2017-02-10 修回日期:2017-04-15 出版日期:2017-06-01
  • 通信作者: 孔祥

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:
引用本文:

严瑾, 王亭婷, 朱晓童, 孔祥, 郑英. 孕妇孕期体重增长情况及影响因素[J]. 中华妇幼临床医学杂志(电子版), 2017, 13(03): 316-320.

Jin Yan, Tingting Wang, Xiaotong Zhu, Xiang Kong, Ying Zheng. Weight gain of pregnant women and its influencing factors[J]. Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition), 2017, 13(03): 316-320.

目的

探讨孕妇孕期体重增长情况及其相关影响因素。

方法

选择2014年10月至2015年10月,在江苏省扬州市苏北人民医院产科分娩的孕妇中,采用方便抽样法选取的458例孕妇为研究对象。采用本研究自行设计的调查问卷《孕期体重增长情况调查表》,对孕妇孕期体重增长情况进行调查。对孕前体重过低、正常体重、超重及肥胖孕妇孕期体重增长情况进行统计学比较,并采用多重线性回归分析法,对孕妇孕期体重增长的影响因素进行分析。

结果

①458例孕妇孕期平均体重增长(15.6±4.5) kg,孕期体重增长过多(EGWG)发生率为41.5%(190/458);孕前体重过低、正常体重、超重及肥胖孕妇的分娩孕龄及孕期体重增长值比较,差异均无统计学意义(P>0.05)。但这4种不同孕前人体质量指数(BMI)孕妇孕期体重增长情况构成比比较,差异却有统计学意义(χ2= 61.436,P<0.001),孕前体重过低及正常体重孕妇,孕期以符合体重增长为主(分别占53.3%及54.2%),而孕前超重及肥胖孕妇,孕期则以EGWG为主(分别占72.2%及83.3%)。②孕妇孕期体重增长影响因素的多重线性回归分析结果显示:对孕期体重增长值的影响由大到小依次为孕次、孕前BMI、产次、家庭月收入、居住地、学历及年龄;随孕妇居住地在城市、孕次增加及年龄增大,孕期体重增长值越大;而随学历、家庭月收入、孕前BMI及产次增高或增加,孕期体重增长值越小(均为P<0.001)。包含这7个因素的多重线性回归模型的决定系数R2=0.909,建立的回归模型具有统计学意义(F=7 582,P<0.001)。

结论

孕妇孕期体重增长受孕次、孕前BMI、产次、家庭月收入、居住地、学历及年龄影响。

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] 刘欢颜, 华扬, 贾凌云, 赵新宇, 刘蓓蓓. 颈内动脉闭塞病变管腔结构和血流动力学特征分析[J]. 中华医学超声杂志(电子版), 2023, 20(08): 809-815.
[2] 马艳波, 华扬, 刘桂梅, 孟秀峰, 崔立平. 中青年人颈动脉粥样硬化病变的相关危险因素分析[J]. 中华医学超声杂志(电子版), 2023, 20(08): 822-826.
[3] 黄应雄, 叶子, 蒋鹏, 詹红, 姚陈, 崔冀. 急性肠系膜静脉血栓形成致透壁性肠坏死的临床危险因素分析[J]. 中华普通外科学文献(电子版), 2023, 17(06): 413-421.
[4] 张再博, 王冰雨, 焦志凯, 檀碧波. 胃癌术后下肢深静脉血栓危险因素的Meta分析[J]. 中华普通外科学文献(电子版), 2023, 17(06): 475-480.
[5] 唐旭, 韩冰, 刘威, 陈茹星. 结直肠癌根治术后隐匿性肝转移危险因素分析及预测模型构建[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 16-20.
[6] 吴方园, 孙霞, 林昌锋, 张震生. HBV相关肝硬化合并急性上消化道出血的危险因素分析[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 45-47.
[7] 陈旭渊, 罗仕云, 李文忠, 李毅. 腺源性肛瘘经手术治疗后创面愈合困难的危险因素分析[J]. 中华普外科手术学杂志(电子版), 2024, 18(01): 82-85.
[8] 晏晴艳, 雍晓梅, 罗洪, 杜敏. 成都地区老年转移性乳腺癌的预后及生存因素研究[J]. 中华普外科手术学杂志(电子版), 2023, 17(06): 636-638.
[9] 莫闲, 杨闯. 肝硬化患者并发门静脉血栓危险因素的Meta分析[J]. 中华普外科手术学杂志(电子版), 2023, 17(06): 678-683.
[10] 毛永欢, 仝瀚文, 缪骥, 王行舟, 沈晓菲, 喻春钊. 造口旁疝危险因素预测模型构建[J]. 中华疝和腹壁外科杂志(电子版), 2023, 17(06): 682-687.
[11] 侯超, 潘美辰, 吴文明, 黄兴广, 李翔, 程凌雪, 朱玉轩, 李文波. 早期食管癌及上皮内瘤变内镜黏膜下剥离术后食管狭窄的危险因素[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 383-387.
[12] 张雯, 宋牡丹, 邓雪婷, 张云. 强化营养支持辅助奥曲肽治疗肝硬化合并食管胃底静脉曲张破裂出血的疗效及再出血危险因素[J]. 中华消化病与影像杂志(电子版), 2023, 13(06): 456-460.
[13] 陆猛桂, 黄斌, 李秋林, 何媛梅. 蜂蛰伤患者发生多器官功能障碍综合征的危险因素分析[J]. 中华临床医师杂志(电子版), 2023, 17(9): 1010-1015.
[14] 李达, 张大涯, 陈润祥, 张晓冬, 黄士美, 陈晨, 曾凡, 陈世锔, 白飞虎. 海南省东方市幽门螺杆菌感染现状的调查与相关危险因素分析[J]. 中华临床医师杂志(电子版), 2023, 17(08): 858-864.
[15] 李琪, 黄钟莹, 袁平, 关振鹏. 基于某三级医院的ICU多重耐药菌医院感染影响因素的分析[J]. 中华临床医师杂志(电子版), 2023, 17(07): 777-782.
阅读次数
全文


摘要