摘要
目的了解云南省少数民族地区孕期女性存在的睡眠问题及影响因素,为改善女性孕期健康提供基础数据。方法2022年5月在云南省某少数民族聚居县对当月所有处于孕期的女性进行睡眠情况调查。采用最小绝对收缩与选择算子(least absolute shrinkage and selection operator,LASSO)回归筛选可能影响孕期及不同阶段(孕早、中、晚期)睡眠问题的重要变量,并分别构建logistic回归分析模型分析睡眠问题的影响因素。结果共回收有效问卷712份,其中540名孕妇有睡眠问题(75.84%)。孕中期(82.49%)和孕晚期(82.73%)孕妇睡眠问题发生率均高于孕早期(65.09%)。对于整个孕期,待业/无业(OR=2.158,95%CI:1.163~4.005)、抑郁症状(OR=2.304,95%CI:1.375~3.860)、久坐(OR=3.236.95%CI:1.634~6.408)、孕中期(OR=2.738,95%CI:1.722~4.355)、孕晚期(OR=2.403,95%CI:1.513~3.817)会增加睡眠问题的发生风险(均P<0.05);计划怀孕(OR=0.649,95%CI:0.428~0.984,P=0.042)会降低睡眠问题发生风险。各孕期阶段的睡眠问题影响因素存在差异:孕早期睡眠问题影响因素为高度社会支持、久坐;孕中期为配偶无固定收入、计划怀孕;孕晚期为抑郁症状、配偶高中及以上文化程度、目前与丈夫及其父母同住、既往怀孕史。结论云南省少数民族地区孕期女性的睡眠问题发生率高,且各孕期阶段的睡眠问题影响因素存在差异。缓解抑郁症状、减少久坐、计划怀孕和提高社会支持可能会减少孕期女性睡眠问题的发生风险。
Objective To understand the sleep problems and their influencing factors among pregnant women in ethnic minority regions,and to provide baseline data for improving maternal health during pregnancy.Methods In May 2022,a survey on sleep status was conducted among all pregnant women in an agricultural county inhabited by ethnic minorities in Yunnan Province.Least absolute shrinkage and selection operator(LASSO)regression was used to screen important variables potentially influencing sleep problems during the entire pregnancy and different trimesters(first,second,and third trimesters).Logistic regression models were constructed to analyze the influencing factors of sleep problems,respectively.Results A total of 712valid questionnaires were collected,among which 540 pregnant women(75.84%)reported sleep problems.The prevalence of sleep problems was higher in the second trimester(82.49%)and thethird trimester(82.73%)than in the first trimester(65.09%).For the entire pregnancy period,being unemployed(OR=2.158,95%CI:1.163-4.005),havingdepressive symptoms(OR=2.304,95%CI:1.375-3.860),sedentary behavior(0R=3.236,95%CI:1.634-6.408).being in the second trimester(OR=2.738,95%CI:1.722-4.355),and being in the third trimester(OR=2.403,95%CI:1.513-3.817)increased the risk of sleep problems(all P<0.05).Planned pregnancy(OR=0.649,95%CI:0.428-0.984,P=0.042)reduced the risk.The influencing factors for sleep problems variedacross trimesters:high level of social support and sedentary behavior in the first trimester;spouse's unstable income and planned pregnancy in the second trimester;depressive symptoms,spouse's education level of high school or above,living with husband and his parents,and history of previous pregnancy in the third trimester.Conclusions The prevalence of sleep problems among pregnant women in ethnic minority regions is high,and the influencing factors differ significantly across trimesters.Alleviating depressive symptoms,reducing sedentary behavior,having a planned pregnancy,and improving social support may reduce the risk of sleep problems in pregnant women.
作者
焦海星
王一单
马嘉茹
夏修
黄睿
邓睿
黄巧云
黄源
JIAO Haixing;WANG Yidan;MA Jiaru;XIA Xiu;HUANG Rui;DENG Rui;HUANG Qiaoyun;HUANG Yuan(Department of Social Medicine and Health Management,School of Public Health,Kunming Medical University,Kunming 650500,China;Yunnan Provincial Key Laboratory of Public Health and Biosafety,Kunming 650500,China;Yunnan Key Laboratory of Cross-Border Infectious Disease Prevention and New Drug Development,Kunming 650500,China)
出处
《中华疾病控制杂志》
北大核心
2026年第3期354-360,367,共8页
Chinese Journal of Disease Control & Prevention
基金
国家自然科学基金(72264020)
云南省高层次人才计划(YNQR-QNRC-2018-140)
云南省哲学社会科学创新团队建设项目(2024CX08)
昆明医科大学一流学科团队(2024XKTDTS16)。
