Longitudinal Associations of Active Versus Passive TikTok Use with Depression: A Chain Mediation Model of Autistic Traits and Self-Esteem
Li H, Xu X, Mao C, Liu Q
Behavioral sciences (Basel, Switzerland) · 0 citas
Cómo se estudió
- Diseño
- Estudio de cohortes (clasificado por nuestro filtro de IA)
- Estudiado en
- Personas
- Resultado principal
- Marcadores de salud y funcionamiento
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- National Natural Science Foundation of China
- Gobierno
- Guangdong Office of Philosophy and Social Science
- Gobierno
- National Office for Philosophy and Social Sciences
- Universidad u hospital
- Hubei Engineering University
- Universidad u hospital
- Public Culture Research Center of the Key Research Base of Humanities and Social Sciences of Universities in Hubei Province
- Gobierno
- Guangdong Planning Office of Philosophy and Social Science
- Subvenciones
- Guangdong Office of Philosophy and Social Science (GD20CXL05); National Natural Science Foundation of China (21FMZB011)
Según 6 financiadores declarados y la declaración de financiación del texto completo.
Publicación
- Publicado
- 2026-07-29 · Behav Sci (Basel) · vol. 16 · número 8 · pág. 1296
- Editorial
- Multidisciplinary Digital Publishing Institute
- Citado
- 0 citas · más que el 70% de estudios similares · 0.0× el promedio de su campo
- Referencias
- 0 trabajos
- Acceso
- Acceso abierto (revista) · CC-BY
- Áreas de investigación
- Impact of Technology on Adolescents · Child Development and Digital Technology · Media Influence and Health
- Palabras clave
- TikTok, depression, autistic traits, self-esteem, short video platforms, university students, serial mediation, social media and mental health
4 autores
- Hongwei Li🇨🇳Henan Normal University
- Xiao-Pan Xu🇨🇳 · autor de correspondenciaCentral China Normal University; Henan Normal University
- Cheng Mao
- Qingqi Liu🇨🇳Beijing Normal University; Beijing Normal University, Zhuhai
Resumen
El texto original del estudio, en el idioma en que se publicó.
The global popularity of short-form video applications such as TikTok has increased rapidly. However, longitudinal evidence on how distinct usage patterns affect mental health outcomes, particularly depression, remains limited. The present study investigated whether active versus passive TikTok use differentially predicts depression through the mediating roles of autistic traits and self-esteem. A three-wave longitudinal survey was conducted in China at six-month intervals. A total of 590 university students (aged 17-24 years) completed questionnaires assessing active/passive TikTok use and depression at Time 1 (T1), autistic traits and self-esteem at Time 2 (T2), and depression again at Time 3 (T3). Mediation analyses were performed using PROCESS macro (Model 6), controlling for gender, age, daily TikTok usage time, and T1 depression. Active TikTok use indirectly predicted lower depression through increased self-esteem, but not through autistic traits. In contrast, passive TikTok use predicted higher depression via three distinct pathways: through elevated autistic traits, through reduced self-esteem, and through the serial mediation of autistic traits leading to reduced self-esteem. Active and passive TikTok use exhibit divergent longitudinal associations with depression, mediated by distinct socio-cognitive mechanisms. These findings highlight the importance of distinguishing between usage modes when evaluating the mental health implications of short-video platforms.
Resumen vía Europe PMC. Los derechos de autor siguen siendo de los autores o la editorial (CC BY).
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