five

Sleep Quality and Mental Disorders and Related Factors in Pakistan

收藏
DataCite Commons2025-05-12 更新2025-05-17 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/F2ZZM9
下载链接
链接失效反馈
官方服务:
资源简介:
Abstract Objective: To explore the relationship between sleep quality and mental disorders and its related factors in Pakistani, and to provide a reference for the prevention and intervention of psychological disorders in various populations. Methods: The random cluster sampling method was used to stratify 15,000 healthy people in all provinces and cities. The Pakistani Sleep Disorder Scale and the Pakistani Mental Illness Prediction Scale were distributed. The data were analyzed by SPSS 18.0 and independent sample t-test, correlation analysis and regression analysis. Findings: The scores of personality introversion and personality shift factors in urban populations were significantly higher than those in rural populations (p < 0.05 or 0.01). The urban–rural differences in other mental health factors were not significant (p > 0.05). The scores of the single-child mental health factors were significantly lower for non-only children (p < 0.01); the scores of various factors on the mental health of married people were significantly higher than those of unmarried people (p < 0.01). There was a significant positive correlation between sleep quality and mental disorders in Pakistani (p < 0.01, r = 0.339–0.541). Daytime function (SD1), insomnia (SD2), drowsiness of the Pakistani Sleep Disorders Scale. The five factors (SD3), exercise paradoxical sleep (SD4) and non-exercise paradox sleep (SD5) all entered the regression equation of the total score of the Pakistani Mental Illness Prediction Scale (p = 0.005), which could explain the variation of Pakistani mental disorders 38.8%. Conclusion: There are some differences in sleep quality and mental disorders among different demographics, and sleep quality has a certain predictive effect on mental disorders. Keywords: Mental Disorders, Sleep Quality, Influencing Factors, Pakistani
提供机构:
Harvard Dataverse
创建时间:
2025-04-17
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作