孕早期女性睡眠潜在剖面及影响因素
Analysis of latent profiles and influencing factors of sleep in women in the first trimester of pregnancy
投稿时间:2024-10-02  修订日期:2025-01-17
DOI:
中文关键词:  睡眠质量  孕早期女性  潜在剖面分析  抑郁  社会资本
英文关键词:sleep quality  the first trimester of pregnancy  latent profile analysis  depression  physical activity  sedentary  social capital
基金项目:中国高校产学研创新基金
作者单位地址
刘思齐 广东药科大学 海珠区广东药科大学赤岗校区
蔡 舒* 广东药科大学 广州市海珠区广东药科大学赤岗校区
梁云芳 广东药科大学附属第一医院 
谭颖瑶 深圳市龙岗区妇幼保健院 
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中文摘要:
      背景 睡眠障碍是孕早期女性常见的健康问题,既往研究主要以量表评定结果反映这一群体的总体睡眠质量,难以精准地体现不同睡眠障碍群组间的差异。目的 探讨孕早期女性睡眠质量潜在剖面,分析不同剖面生理-心理-社会方面的影响因素,以期为制定个性化睡眠干预措施提供参考。方法 选取2021年10月—2022年10月在深圳市某三级甲等医院产科门诊就诊的1 066名孕早期女性为研究对象。采用基本资料调查问卷、匹兹堡睡眠质量指数量表(PSQI)、爱丁堡产后抑郁量表(EPDS)、中文版国际体力活动问卷短卷(IPAQ-S-C)和社会资本评估量表(SCAT-MH)进行调查。通过潜在剖面分析探讨睡眠剖面,采用回归混合模型的稳健三步法分析不同睡眠剖面的影响因素。结果 孕早期女性睡眠质量分为3个剖面:睡眠质量良好组732例(68.67%)、睡眠效率低组87例(8.16%)、日间功能障碍组247例(23.17%)。相比于睡眠质量良好组,年龄较小(OR=0.951,95% CI:0.922~0.980)、受教育程度本科及以上(OR=1.869,95% CI:1.260~2.773)以及社会资本水平低(OR=0.962,95% CI:0.951~0.973)的孕早期女性更可能属于睡眠效率低组,年龄较大(OR=1.072,95% CI:1.027~1.120)、抑郁水平高(OR=1.166,95% CI:1.115~1.218)者更可能属于日间功能障碍组,职业为工人(OR=0.507,95% CI:0.293~0.876)者属于日间功能障碍组的可能性较小。 结论 孕早期女性睡眠质量存在3个潜在剖面,具有明显异质性,抑郁和社会资本水平是孕早期女性睡眠质量的主要影响因素。
英文摘要:
      Background Sleep disorder is a common health problem for women in the first trimester. Previous studies mainly reflected the overall sleep quality of this group by scale assessment results, which may not accurately capture the differences between various groups of sleep disorders. Objective To explore the potential profiles of women's sleep quality in the first trimester and analyze the physiological, psychological and social factors on different profiles, in order to provide references for the development of personalized sleep intervention measures. Methods A total of 1 066 women in the first trimester of pregnancy who visited the obstetric outpatient clinic of a tertiary hospital in Shenzhen from October 2021 to October 2022 were investigated using the General information questionnaire, Pittsburgh Sleep Quality Index (PSQI), Edinburgh Postnatal Depression Scale (EPDS), Chinese version of short International Physical Activity Questionnaire (IPAQ-S-C) and Social Capital Assessment Tool for in Pregnancy for Maternal Health (SCAT-MH). The sleep profile was identified through latent profile analysis, and the robust three-step method of regression mixture modeling was used to analyse the influencing factors of different sleep profiles. Results The sleep quality of women in the first trimester of pregnancy was divided into three profiles: 732 cases (68.67%) of good sleep quality group, 87 cases (8.16%) of low sleep efficiency group, and 247 cases (23.17%) of daytime dysfunction group. Compared with good sleep quality group, women in the first trimester of pregnancy with younger age (OR=0.951, 95% CI: 0.922~0.980), with an education level of Bachelor's degree and above (OR=1.869, 95% CI: 1.260~2.773) and lower levels of social capital (OR=0.962, 95% CI: 0.951~0.973) were more likely to belong to the low sleep efficiency group. Pregnant women who were older (OR=1.072, 95% CI: 1.027~1.120) and had higher levels of depression (OR=1.166, 95% CI: 1.115~1.218) were more likely to belong to daytime dysfunction group. Pregnant women who were workers (OR=0.507, 95% CI: 0.293~0.876) were less likely to fall into the daytime dysfunction group. Conclusion The sleep quality of women in the first trimester has three latent profiles with significant heterogeneity, and depression and social capital level are the main influencing factors of sleep quality.
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