Mental Health

Gender and residential differences in sleep quality among Chinese adolescents aged 13-18 years.

TL;DR

Chinese adolescents living in rural areas and female adolescents experience a greater burden of poor sleep quality, with mental health and physical fitness appearing as protective factors while BMI, sedentary time, and screen time are risk factors, and these associations are moderated by residence and gender.

Key Findings

One-third of Chinese adolescents exhibited poor sleep quality overall.

  • 33.71% of the total sample was classified as having poor sleep quality based on the Pittsburgh Sleep Quality Index (PSQI)
  • Sample consisted of 5,713 adolescents with a mean age of 15.11 ± 1.70 years
  • PSQI was used as the primary measure of sleep quality

Rural adolescents had a significantly higher prevalence of poor sleep quality compared to urban adolescents.

  • 35.78% of rural adolescents were classified as having poor sleep quality
  • This was significantly higher than the prevalence among urban adolescents (p < 0.001)
  • Residential setting was identified as a key determinant of sleep quality

Female adolescents had a significantly higher prevalence of poor sleep quality compared to male adolescents.

  • 38.40% of female adolescents were classified as having poor sleep quality
  • This proportion was significantly higher than that among males (p < 0.001)
  • Sex was identified as a key determinant of sleep quality

BMI, Physical Fitness Index, MVPA, sedentary time, screen time, and mental health scores all significantly affected PSQI global and component scores.

  • All listed factors showed statistically significant effects on PSQI global score and its component scores (p < 0.05)
  • Logistic regression models were applied to examine these associations
  • Mental health and PFI were identified as protective factors for sleep quality
  • BMI, sedentary time, and screen time were identified as risk factors for poor sleep quality

Residence and gender significantly moderated the associations between sleep quality and several health-related factors.

  • Residence and gender significantly moderated linear associations between sleep quality and BMI, PFI, MVPA, sedentary time, and mental health scores (p < 0.05)
  • Interaction terms for residence and gender were included in the logistic regression models
  • These moderating effects indicate that the impact of risk and protective factors on sleep quality differs by residential setting and sex

Declining sleep quality among Chinese adolescents is characterized as a nationwide public health concern.

  • Systematic evaluations of sleep quality across regions and between sexes among Chinese adolescents were described as limited prior to this study
  • The study collected data on multiple domains including BMI, Physical Fitness Index (PFI), sedentary time, screen time, and mental health from 5,713 adolescents
  • Age range of participants was 13–18 years

What This Means

This research suggests that poor sleep is widespread among Chinese teenagers, with about one in three adolescents aged 13–18 experiencing poor sleep quality as measured by a standardized questionnaire called the Pittsburgh Sleep Quality Index. The study of over 5,700 young people found that where teenagers live and their sex matter significantly: teenagers in rural areas and girls were both more likely to report poor sleep compared to their urban and male counterparts. The study also identified several factors that appear to be linked to sleep quality. Being physically fit and having better mental health were associated with better sleep, while having a higher body mass index (BMI), spending more time sitting, and spending more time on screens were associated with worse sleep. Importantly, these relationships were not the same for everyone — the influence of physical fitness, body weight, activity levels, and mental health on sleep differed depending on whether a teenager lived in a rural or urban area and whether they were male or female. This research suggests that efforts to improve adolescent sleep in China may need to be tailored to account for differences between rural and urban environments and between boys and girls. Addressing mental health and promoting physical fitness may be particularly important strategies, while reducing sedentary and screen time could also help. The findings highlight the need for targeted public health approaches rather than one-size-fits-all interventions.

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Citation

Kang X, Li J, Wu H. (2026). Gender and residential differences in sleep quality among Chinese adolescents aged 13-18 years.. PloS one. https://doi.org/10.1371/journal.pone.0349681