Sleep

The characteristics of depression and sleep among Chinese high school students: A cross-sectional study.

TL;DR

High school students exhibited a high prevalence of depression and poor sleep quality, with those experiencing moderate-to-severe depression showing the poorest sleep quality in unadjusted comparisons, but depression severity did not remain an independent significant predictor of poor sleep quality after adjustment for age, sex, and BMI.

Key Findings

The majority of high school students in the sample experienced depression, with over half meeting criteria for depressive symptoms.

  • Total sample size was 537 high school students
  • 57.0% (306 participants) experienced depression as measured by the Self-Rating Depression Scale (SDS)
  • Depression was assessed using a paper questionnaire administered in a cross-sectional design

Nearly half of the high school students surveyed suffered from poor sleep quality.

  • 47.5% (255 participants) suffered from poor sleep quality
  • Sleep quality was measured using the Pittsburgh Sleep Quality Index (PSQI)
  • Data were collected via paper questionnaire in a cross-sectional study

Male high school students showed significantly greater depression scores than female students.

  • Males had mean SDS scores of 55.2 ± 7.2 compared to females at 53.8 ± 6.8
  • The difference was statistically significant (P = .027)
  • This finding was contrary to patterns sometimes observed in adult populations where females often report higher depression rates

Students with moderate-to-severe depression had significantly worse sleep quality scores than those with mild depression or no depression in unadjusted comparisons.

  • Mean PSQI scores were 5.2 ± 2.7 (no depression), 5.3 ± 2.4 (mild depression), and 6.2 ± 2.3 (moderate-to-severe depression)
  • The difference across groups was statistically significant (F = 3.5, P = .032)
  • Higher PSQI scores indicate poorer sleep quality

Depression severity was not an independent significant predictor of poor sleep quality after adjusting for covariates.

  • An adjusted logistic regression model was used, controlling for age, sex, and BMI
  • All P-values for depression severity as a predictor of poor sleep quality were > .05 after adjustment
  • This indicates that the relationship between depression severity and sleep quality observed in unadjusted analyses was confounded by demographic and anthropometric variables

What This Means

This research examined depression and sleep problems among 537 Chinese high school students using standardized questionnaires. The study found remarkably high rates of both issues: more than half of students (57%) showed signs of depression, and nearly half (47.5%) reported poor sleep quality. Notably, male students scored higher on depression measures than female students, which is worth attention as depression is often assumed to affect females more. When looking at the raw numbers, students with moderate-to-severe depression slept worse than those with milder or no depression. However, when the researchers statistically accounted for factors like age, sex, and body mass index (BMI), depression severity alone was no longer a significant predictor of poor sleep quality. This suggests that the connection between depression and sleep problems in this group is more complex than a simple cause-and-effect relationship, and that other factors play important roles in determining sleep quality. This research suggests that mental health and sleep problems are widespread among Chinese high school students and deserve greater attention from educators, parents, and healthcare providers. The findings highlight that students with more severe depression may be at particular risk for sleep difficulties, and that interventions addressing both mental health and sleep simultaneously — while also considering factors like age, sex, and weight — may be most effective for this population.

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Citation

Han H, Mu Z, Li Q, Zeng H, Ma Y, Liu Z, et al.. (2026). The characteristics of depression and sleep among Chinese high school students: A cross-sectional study.. Medicine. https://doi.org/10.1097/MD.0000000000051117