Scholarlink

Background <p>The aim of this study was to assess the quality of sleep and its determinants among residents of the Chengguan District in Lhasa, to provide foundational evidence for future intervention studies targeting sleep disorders in high-altitude populations.</p> Methods <p>We conducted a cross-sectional study in Chengguan District, Lhasa, between March and June 2023. Using a four-stage cluster random sampling design, 3,742 eligible residents were recruited. Data were collected using a custom Sociodemographic and Health-related Information Form and the Pittsburgh Sleep Quality Index (PSQI).</p> Results <p>The mean Pittsburgh Sleep Quality Index (PSQI) score of the residents in the Chengguan District of Lhasa was 4.58 ± 3.03, and the prevalence rate of sleep disorders was 15.3%. Binary logistic regression analysis revealed that factors significantly correlated with sleep disorders encompassed being female, being of Han ethnicity or other ethnic minorities, possessing a high level of education, being married, divorced, or widowed, alcohol intake, taking naps lasting more than 30&#xa0;min, using electronic products for over 30&#xa0;min at night, suffering from chronic diseases, experiencing perceived stress, cognitive performance, engaging in shift work, and exposure to residential noise (χ² = 690.207, <i>P</i> &lt; 0.001).</p> Conclusions <p>The prevalence of sleep disorders is high among residents in the Chengguan District of Lhasa. Demographic and sociological factors, lifestyle habits, physical and mental health status, occupational factors, and residential noise appear to influence sleep quality. Therefore, it would be beneficial for relevant authorities to focus on these susceptible populations in future interventions, aiming to enhance sleep quality and overall quality of life through environmental improvements, lifestyle modifications, strategic scheduling, and the provision of psychological support.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analysis of sleep quality and its influencing factors among residents in Chengguan District of Lhasa

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月14日

查看全文
  • Linjie Zhang,
  • Haiqing Zhao,
  • Mengwei Xu,
  • Yimin Jiang,
  • Baifan Zhang,
  • Dongmei Zhou,
  • Feng Wang,
  • Gongjue Cuomu,
  • Yitao Ren,
  • Nan Yang,
  • Lijun Yang

摘要

Background

The aim of this study was to assess the quality of sleep and its determinants among residents of the Chengguan District in Lhasa, to provide foundational evidence for future intervention studies targeting sleep disorders in high-altitude populations.

Methods

We conducted a cross-sectional study in Chengguan District, Lhasa, between March and June 2023. Using a four-stage cluster random sampling design, 3,742 eligible residents were recruited. Data were collected using a custom Sociodemographic and Health-related Information Form and the Pittsburgh Sleep Quality Index (PSQI).

Results

The mean Pittsburgh Sleep Quality Index (PSQI) score of the residents in the Chengguan District of Lhasa was 4.58 ± 3.03, and the prevalence rate of sleep disorders was 15.3%. Binary logistic regression analysis revealed that factors significantly correlated with sleep disorders encompassed being female, being of Han ethnicity or other ethnic minorities, possessing a high level of education, being married, divorced, or widowed, alcohol intake, taking naps lasting more than 30 min, using electronic products for over 30 min at night, suffering from chronic diseases, experiencing perceived stress, cognitive performance, engaging in shift work, and exposure to residential noise (χ² = 690.207, P < 0.001).

Conclusions

The prevalence of sleep disorders is high among residents in the Chengguan District of Lhasa. Demographic and sociological factors, lifestyle habits, physical and mental health status, occupational factors, and residential noise appear to influence sleep quality. Therefore, it would be beneficial for relevant authorities to focus on these susceptible populations in future interventions, aiming to enhance sleep quality and overall quality of life through environmental improvements, lifestyle modifications, strategic scheduling, and the provision of psychological support.