1. Latent Profile Analysis of Sleep Quality in Pregnant Women With Gestational Diabetes Mellitus and Its Influencing Factors.
- Author
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Chen, Yanxia, Wang, Hui, Yang, Yiling, Li, Jiale, Luo, Tingyu, Wei, Huixin, Wei, Fengxiang, and Chen, Weiqiang
- Subjects
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RISK assessment , *CROSS-sectional method , *CLINICAL medicine , *MEDICAL information storage & retrieval systems , *SCALE analysis (Psychology) , *SELF-efficacy , *BODY mass index , *CRONBACH'S alpha , *RESEARCH funding , *GESTATIONAL diabetes , *QUESTIONNAIRES , *MULTIPLE regression analysis , *STATISTICAL sampling , *FISHER exact test , *KRUSKAL-Wallis Test , *PREGNANT women , *DESCRIPTIVE statistics , *CHI-squared test , *PATIENT-centered care , *SLEEP duration , *ODDS ratio , *RESEARCH methodology , *QUALITY of life , *STATISTICS , *SLEEP quality , *SOCIODEMOGRAPHIC factors , *PERSONALITY tests , *SOCIAL support , *EVIDENCE-based medicine , *DATA analysis software , *CONFIDENCE intervals , *SLEEP disorders , *DISEASE risk factors - Abstract
Background: Sleep problems are prevalent among individuals diagnosed with gestational diabetes mellitus (GDM), significantly impacting their overall quality of life. Objective: This study sought to adopt a person-centered methodology to unveil the latent profiles of sleep quality and identify factors influencing sleep patterns in patients with GDM. Methods: The cross-sectional study gathered sociodemographic features, clinical information, sleep problems (Pittsburgh Sleep Quality Index), personality traits (Type D Personality Scale), social support (Perceived Social Support Scale), and self-efficacy (General Self-efficacy Scale). Latent profile analysis was conducted to identify profiles of sleep quality, while multinomial logistic regression was employed to ascertain the factors influencing these identified profiles. Results: Among the 431 participants, 423 (98.1%) completed the questionnaire, with 53.0% reporting moderate-to-poor sleep quality. This study identified 4 distinct profiles of sleep quality among patients with GDM: the "good sleep quality" group (47.0%), the "poor sleep quality—long sleep duration" group (10.0%), the "moderate sleep quality" group (25.3%), and the "poor sleep quality—short sleep duration" group (17.7%). Individuals with type D personality were associated with the "poor sleep quality—long sleep duration" [odds ratio (OR) = 3.21, P =.005], "moderate sleep quality" (OR = 2.65, P =.003), and "poor sleep quality—short sleep duration" group (OR = 2.31, P =.018). Individuals with a history of GDM were associated with "poor sleep quality—long sleep duration" group (OR = 3.46, P =.005). Conclusions: The research revealed significant classification characteristics of sleep quality in patients with GDM, offering valuable insights for tailoring interventions to address distinct subcategories of sleep-related issues. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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