Chinese Medical E-ournals Database

Chinese Journal of Obstetrics & Gynecology and Pediatrics(Electronic Edition) ›› 2017, Vol. 13 ›› Issue (04): 403 -408. doi: 10.3877/cma.j.issn.1673-5250.2017.04.006

Special Issue:

Original Article

Health related quality of life and influencing factors of pregnant women during the third trimester

Ping Zhu1, Zhimei Zhao2, Xiaorong Qi3, Qingping Xue4, Xiongfei Pan5,()   

  1. 1. West China School of Public Health, Sichuan University, Chengdu 610041, Sichuan Province, China
    2. Institute of Medical Biology Chinese Academy of Medical Sciences, Kunming 650118, Yunnan Province, China
    3. Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China
    4. Department of Public Health, Chengdu Medical College, Chengdu 610083, Sichuan Province, China
    5. School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
  • Received:2017-05-02 Revised:2017-07-05 Published:2017-08-01
  • Corresponding author: Xiongfei Pan
  • About author:
    Corresponding author: Pan Xiongfei, Email:
Objective

To explore the condition of health related quality of life (HRQoL) and its influencing factors of pregnant women during the third trimester.

Methods

We enrolled 2 017 pregnant women during the third trimester at antenatal clinics of West China Second University Hospital, Sichuan University from October 2013 to February 2014. The Chinese Version of Short Form 36 Health Survey (SF-36) was used to assess the HRQoL. Fourteen possible influencing factors including age, nationality and educational background etc. were analyzed by univariate analysis. Multiple linear regression was conducted to analyze the influencing factors of physical component summary (PCS) score and the mental component summary (MCS) score of SF-36.

Results

①The scores of eight domains of SF-36 were (63.0±16.6) score of physical function (PF), (51.0±24.6) score of role physical (RP), (69.0±18.1) score of bodily pain (BP), (73.5±17.2) score of general health (GH), (60.9±15.0) score of vitality (VT), (75.4±17.5) score of social function (SF), (72.8±26.4) score of role emotion (RE), and (78.2±12.6) score of mental health (MH), respectively. ②Univariate analysis showed that there were significant differences of PCS scores of four domains in SF-36 among pregnant women in terms of age, body mass index (BMI), living condition and marital relationship (P<0.05). There were significant differences of MCS scores of four domains in SF-36 among pregnant women in terms of age, educational background, current working status, annual family income per capita, living condition, marital relationship, relationship between mother-in-law and daughter-in-law, and paternal smoking during pregnancy (P<0.05). ③The multiple linear regression results showed that the age, living condition and marital relationship were associated with the PCS scores of pregnant women during the third trimester in a sequence of decreasing impact. Older age, less satisfaction with living condition and marital relationship were associated with a lower PCS score (P<0.05). Relationship between mother-in-law and daughter-in-law, marital relationship, living condition, age and educational background were associated with the MCS scores in a sequence of decreasing impact. Older age and better educational background were associated with a higher MCS score, while less satisfaction with relationship between mother-in-law and daughter-in-law, marital relationship and living condition were associated with a lower MCS score(P<0.05).

Conclusions

Multiple factors are correlated with the HRQoL at the third trimester of pregnancy. Strategies for improving the HRQoL of pregnant women might need to target these factors, such as improving educational background, maintain good relationships with husband and mother-in-law, and so on.

表1 影响晚孕期孕妇健康相关生命质量得分的单因素分析结果(分,±s)
影响因素 例数 PCS MCS
得分 检验值 P 得分 检验值 P
年龄(岁) ? ? F=12.208 <0.001 ? F=7.094 <0.001
? <25 113 37.6±8.0 ? ? 51.7±7.9 ? ?
? ≥25~30 870 38.2±7.0 ? ? 53.3±7.8 ? ?
? ≥30~35 769 37.2±7.5 ? ? 54.4±7.2 ? ?
? ≥35 262 35.1±8.1 ? ? 54.7±7.7 ? ?
BMI(kg/m2) ? ? F=4.045 0.007 ? F=0.856 0.463
? <18 10 35.0±10.2 ? ? 57.0±7.7 ? ?
? ≥18~24 474 37.6±7.9 ? ? 53.5±7.7 ? ?
? ≥24~28 1 089 37.7±7.1 ? ? 53.9±7.4 ? ?
? ≥28 435 36.3±7.7 ? ? 53.8±7.9 ? ?
民族 ? ? t=0.043 0.835 ? t=2.254 0.133
? 汉族 1 980 37.4±7.5 ? ? 53.8±7.6 ? ?
? 少数民族 33 37.7±7.4 ? ? 55.8±5.8 ? ?
受教育程度 ? ? F=1.063 0.346 ? F=9.864 <0.001
? 初中及以下 69 37.3±9.2 ? ? 52.5±8.2 ? ?
? 高中或中专 205 38.1±7.7 ? ? 51.8±7.6 ? ?
? 本科及以上 1 741 37.3±7.4 ? ? 54.1±7.5 ? ?
是否在职 ? ? t=2.032 0.154 ? t=8.472 0.004
? 1 673 37.3±7.4 ? ? 54.0±7.4 ? ?
? 344 37.9±7.9 ? ? 52.7±8.1 ? ?
家庭人均年收入(万元) ? ? F=0.411 0.745 ? F=5.771 0.001
? <3 236 37.7±8.3 ? ? 52.1±8.1 ? ?
? ≥3~5 282 37.3±7.4 ? ? 53.7±7.1 ? ?
? ≥5~10 722 37.5±6.9 ? ? 53.7±7.7 ? ?
? ≥10 722 37.2±7.9 ? ? 54.5±7.5 ? ?
生育史 ? ? t=3.467 0.063 ? t=0.084 0.772
? 294 36.6±7.9 ? ? 53.7±7.6 ? ?
? 1 721 37.5±7.4 ? ? 53.8±7.6 ? ?
流产史 ? ? t=3.416 0.065 ? t=0.469 0.493
? 1 013 37.1±7.7 ? ? 53.7±7.5 ? ?
? 1 000 37.7±7.3 ? ? 53.9±7.7 ? ?
此次是否为意外妊娠 ? ? t=0.138 0.710 ? t=1.074 0.300
? 603 37.3±7.7 ? ? 53.6±7.9 ? ?
? 1 413 37.4±7.4 ? ? 54.0±7.4 ? ?
婚姻关系 ? ? t=6.386 0.012 ? t=25.831 <0.001
? 满意 2 002 37.4±7.5 ? ? 53.9±7.5 ? ?
? 不满意 13 32.1±10.7 ? ? 43.3±10.9 ? ?
婆媳关系 ? ? F=1.923 0.146 ? F=30.617 <0.001
? 满意 1 650 37.5±7.5 ? ? 54.4±7.2 ? ?
? 不满意,但能维持 343 36.6±7.5 ? ? 51.3±8.3 ? ?
? 不满意,并且不能维持 18 37.5±8.0 ? ? 47.4±10.0 ? ?
孕期丈夫吸烟 ? ? t=0.093 0.760 ? t=7.805 0.005
? 691 37.4±7.6 ? ? 53.2±7.9 ? ?
? 1 326 37.3±7.4 ? ? 54.2±7.4 ? ?
孕期丈夫饮酒 ? ? t=0.644 0.422 ? t=3.436 0.064
? 593 37.2±7.5 ? ? 53.3±7.8 ? ?
? 1 423 37.5±7.5 ? ? 54.0±7.5 ? ?
住房满意程度 ? ? F=8.511 <0.001 ? F=18.975 <0.001
? 非常满意 266 39.1±7.9 ? ? 55.4±7.6 ? ?
? 满意 1 174 37.2±7.3 ? ? 54.2±7.3 ? ?
? 一般/不满意 567 36.9±7.6 ? ? 52.3±8.0 ? ?
表2 晚孕期孕妇健康相关生命质量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 晚孕期孕妇《SF-36健康调查量表》生理健康综合测量得分影响因素的多重线性回归分析结果
表4 晚孕期孕妇《SF-36健康调查量表》心理健康综合测量得分影响因素的多重线性回归分析结果
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