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石河子市妊娠期妇女睡眠质量现状及影响因素研究

发布时间:2018-08-10 19:32
【摘要】:目的:了解石河子市妊娠期妇女孕期睡眠质量变化趋势及其影响因素,为提高护理人员妊娠期睡眠保健提供指导。方法:1.纵向调查采用重复测量调查的研究设计,便利抽样石河子市妊娠期妇女146名,于妊娠第9~13周、20~24周、28~32周、36~40周对其睡眠质量及影响因素进行纵向跟踪调查。2.数据统计采用EpiData3.1软件录入核查数据,导入至SPSS 22.0软件进行统计学分析。统计学方法包括描述性统计分析、χ2检验、重复测量方差分析、广义估计方程。结果:1.睡眠质量变化1.1研究对象妊娠9~13周、妊娠20~24周、妊娠28~32周、妊娠36~40周睡眠质量得分(问题检出率)分别为5.00±2.04(13.7%),4.36±1.89(6.2%),4.45±1.89(8.9%)和4.79±2.07(8.2%)。χ2检验显示,睡眠质量问题检出率差异不具有统计学意义(χ2=5.305,P=0.151)。1.2重复测量方差分析显示,随着妊娠发展研究对象睡眠质量得分发生变化(F=9.382,P=0.036)。在妊娠9~13周与36~40周的两次测量之间差异没有统计学意义(P=0.336),在妊娠20~24周与28~32周两次测量之间的差异没有统计学意义(P=0.588),妊娠20~24周、28~32周两次测量与妊娠9~13周、36~40周两次测量差异具有统计学意义(P0.05)。1.3随妊娠发展,妊娠期睡眠时间变化具有统计学差异(F=8.456,P0.001)。1.4随妊娠发展,几种妊娠期睡眠障碍变化均具有统计学差异(P0.001)。其中夜间起床上厕所、夜间易醒或早醒、感觉太热、做噩梦、咳嗽或打鼾、感到疼痛是睡眠障碍的主要表现。2.睡眠质量影响因素2.1单因素分析:以各影响因素为组间因素,重复测量方差分析结果显示,孕前睡眠评价、焦虑、抑郁影响妊娠期睡眠质量得分的变化(P0.05)。2.2多因素分析以四次测量睡眠质量得分为因变量,广义估计方程拟合结果显示,焦虑越严重者睡眠质量越差(Waldχ2=6.966,P=0.008);感受到怀孕对生活的影响越大者睡眠质量越差(Waldχ2=10.877,P=0.004);夫妻关系好对妊娠期睡眠质量起保护作用(Waldχ2=8.421,P=0.004)。以四次测量是否检出睡眠质量问题为因变量,广义估计方程拟合结果显示,随焦虑程度增加,更易出现睡眠质量问题(Waldχ2=17.539,P=0.001);抑郁者比无抑郁症状者更易出现睡眠质量问题(Waldχ2=17.201,P=0.001);善于与人交往为睡眠质量问题的保护性因素(Waldχ2=6.197,P=0.013)。结论:1.石河子市妊娠期妇女睡眠质量较好,睡眠质量问题检出率低。2.研究对象整个妊娠期睡眠质量发生变化。妊娠早期、晚期睡眠质量差,需要关注;随妊娠发展,睡眠时间逐渐变短;整个妊娠期“睡眠障碍”问题最为显著且随妊娠发展睡眠障碍症状发生变化;妊娠晚期“入睡时间”较长,入睡困难明显,帮助妊娠晚期妇女解决入睡困难或可明显改善妊娠晚期睡眠质量。3.焦虑对妊娠期睡眠质量影响较大,焦虑症状越严重越易出现睡眠质量问题;改善心理状态、提升交往能力有助于减少妊娠期妇女睡眠质量问题的发生。
[Abstract]:Objective: to investigate the trend and influencing factors of pregnancy sleep quality of pregnant women in Shihezi city, and to provide guidance for nursing staff to improve their sleep quality during pregnancy. Method 1: 1. The longitudinal survey was carried out by repeated survey design to facilitate the sampling of 146 pregnant women in Shihezi city. The sleep quality and influencing factors of 146 pregnant women were investigated longitudinally at the 13th and 24th week of gestation, 2832 weeks and 3640 weeks, respectively. EpiData3.1 software was used to input and verify the data, and the data was imported into SPSS 22. 0 software for statistical analysis. Statistical methods include descriptive statistical analysis, 蠂 2 test, repeated measurement variance analysis, and generalized estimation equation. The result is 1: 1. Sleep quality changes 1.1 the sleep quality scores (problem detection rate) of the subjects were 5.00 卤2.04 (13.7%), 4.36 卤1.89 (6.2%), 4.45 卤1.89 (8.9%) and 4.79 卤2.07 (8.2%), respectively. 蠂 2 test showed that the sleep quality scores were 5.00 卤2.04 (13.7%) and 4.79 卤2.07 (8.2%) respectively. There was no significant difference in the detectable rate of sleep quality problems (蠂 ~ 2 ~ 2 ~ (5.305) P ~ (0.151) .1.2 the repeated analysis of variance showed that the score of sleep quality was changed with pregnancy development (F _ (9.382) P _ (0.036). There was no significant difference between the two measurements at the 9th and 3640 weeks of gestation (P0. 336), there was no significant difference between the two measurements at 20: 24 and 28: 32 (P0. 588), and there was no significant difference between the two measurements at the 2nd week of gestation (P0. 588) and between the two measurements at the 2nd week of gestation (P0. 336). The volume difference was statistically significant (P0.05) .1.3 with the development of pregnancy, The changes of sleep time during pregnancy were statistically different (FG 8.456U P0.001) .1.4 with the development of pregnancy, the changes of several kinds of sleep disorders during pregnancy were all statistically different (P0.001). Among them, wake up at night to go to the toilet, wake up easily or early at night, feel too hot, have nightmares, cough or snore, feel pain is the main manifestation of sleep disorder. 2. Single factor analysis of influencing factors of sleep quality 2.1: the results of variance analysis of repeated measurements showed that sleep evaluation, anxiety, and anxiety were the main factors affecting sleep quality. The effects of depression on sleep quality scores during pregnancy (P0.05) .2.2 multivariate analysis with four measurements of sleep quality scores as a dependent variable, the generalized estimation equation fitting results showed that, The worse the anxiety was, the worse the sleep quality was (Wald 蠂 2 = 6.966P 0.008), the worse the sleep quality was (Wald 蠂 2 + 10.877 P 0.004), and the better the relationship between husband and wife had a protective effect on the sleep quality during pregnancy (Wald 蠂 2 8.421 P 0.004). The fitting results of the generalized estimation equation showed that with the increase of anxiety degree, whether sleep quality problems were detected by four times of measurement was a dependent variable. Sleep quality problems were more likely to occur in patients with depression than those without depression (Wald 蠂 2 + 17.539), sleep quality problems in depression patients (Wald 蠂 2 + 17.201 P0. 001), and good communication with people as protective factors for sleep quality problems (Wald 蠂 2 + 6. 197 P 0. 013). Conclusion 1. Shihezi City pregnancy women sleep quality is better, sleep quality problem detection rate is low. 2. Participants sleep quality changes throughout pregnancy. Early pregnancy, poor sleep quality in late pregnancy, need to pay attention to; with the development of pregnancy, sleep time gradually become shorter; the whole pregnancy "sleep disorder" problem is the most significant and changes with the development of pregnancy sleep disorder symptoms; Third trimester of pregnancy "fall asleep time" is longer, fall asleep difficulty is obvious, help the woman of the third trimester to solve to fall asleep difficulty or can obviously improve the sleep quality of the third trimester. Anxiety has a great influence on the sleep quality of pregnancy, the more serious the anxiety symptoms, the more prone to sleep quality problems; improve the psychological state, improve the ability of communication help to reduce the occurrence of sleep quality problems of pregnant women.
【学位授予单位】:石河子大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:R473.71

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