Frontiers in public health · 2026
Screen time, physical activity, sleep, and depression risk in adolescents: an observational study based on the compositional isotemporal substitution model.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Guo Hao, Man Mengting, Hu Zheng, Liu Yun, Chen Wen, Wang Sainan, Tang Xinmiao, Geng Anyi, Ruan Wenhua, Xu Wenzhuo, Jiang Kele, Shi Haiyan, Du Jun, Jin Guifang, Zhang Xiaopeng, Zhang Zhihua
Аннотация
BACKGROUND: Adolescent depression is linked to daily activities like screen use, physical activity, and sleep. Most studies examine these factors separately. This study investigates the relationship between screen time, physical activity, sleep, and depressive symptoms in adolescents using compositional isotemporal substitution models (CISM).
METHODS: A cross-sectional study collected data from 6,666 adolescents in Hefei, China, using self-administered questionnaires. Compositional Data Analysis was used to examine 24-h activity patterns and their association with depression. A compositional linear regression model was constructed to explore the relationships between screen time, low-intensity (LPA) and moderate-to-vigorous physical activity (MVPA), sleep (SLP), and adolescent depression. The CISM was then applied to analyze the effects of reallocating and substituting time between different activities on depression scores.
RESULTS: The compositional linear regression model revealed a significant positive correlation between screen time and depression relative to the remaining activities (βST = 0.693, P < 0.001), while LPA, MVPA and SLP showed significant negative correlations with depression relative to the remaining activities (βLPA = -0.132, P < 0.05, βMVPA = -0.293, P < 0.001, βSLP = -0.981, P < 0.001). Using a 10-min substitution as an example, replacing MVPA, LPA, or SLP with ST increased depression scores by 0.09, 0.06 and 0.03 points, respectively. Conversely, replacing ST with MVPA, LPA, or SLP decreased scores by 0.07, 0.05 and 0.03 points, respectively. Longer substitution durations amplified these effects.
CONCLUSION: The study highlights that reducing screen time and increasing physical activity or sleep can help alleviate depressive symptoms in adolescents.
METHODS: A cross-sectional study collected data from 6,666 adolescents in Hefei, China, using self-administered questionnaires. Compositional Data Analysis was used to examine 24-h activity patterns and their association with depression. A compositional linear regression model was constructed to explore the relationships between screen time, low-intensity (LPA) and moderate-to-vigorous physical activity (MVPA), sleep (SLP), and adolescent depression. The CISM was then applied to analyze the effects of reallocating and substituting time between different activities on depression scores.
RESULTS: The compositional linear regression model revealed a significant positive correlation between screen time and depression relative to the remaining activities (βST = 0.693, P < 0.001), while LPA, MVPA and SLP showed significant negative correlations with depression relative to the remaining activities (βLPA = -0.132, P < 0.05, βMVPA = -0.293, P < 0.001, βSLP = -0.981, P < 0.001). Using a 10-min substitution as an example, replacing MVPA, LPA, or SLP with ST increased depression scores by 0.09, 0.06 and 0.03 points, respectively. Conversely, replacing ST with MVPA, LPA, or SLP decreased scores by 0.07, 0.05 and 0.03 points, respectively. Longer substitution durations amplified these effects.
CONCLUSION: The study highlights that reducing screen time and increasing physical activity or sleep can help alleviate depressive symptoms in adolescents.