ArticlePsychology research and behavior management2023
Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis.
Article in Psychology research and behavior management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 15 citations in OpenAlex.
- Transitions in Depressive Symptom Profiles Among Adolescents with Persistent Bullying Victimization: A Latent Transition Analysis.Behavioral sciences (Basel, Switzerland) · 2026Article
- Intimate disclosure in online-only friendships predicts adolescents' depressive symptoms.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2026Article
- Young adults in times of overlapping social crises: dynamic profiles of mental health and crisis-related concerns using latent transition analysis.Globalization and health · 2026Article
- Why does feedback work? Unpacking the serial mediation of emotion regulation and discourse skills in mathematics.Frontiers in psychology · 2026Article
- Machine learning-based predictive factor analysis of depression among Chinese adolescents.Frontiers in psychiatry · 2026Article
- Profiles and Transitions of Sleep Disturbance and Depression Among Chinese Adolescents: The Predictive Roles of Life Stress and Resilience.Depression and anxiety · 2025Article
- The bidirectional relationship between depression and perceived social support among college freshmen: evidence from longitudinal and daily diary methods.Frontiers in psychology · 2025Article
- Health lifestyles of six Zhiguo ethnic groups in China: a latent class analysis.BMC public health · 2024Article
- Secular Trends in Depressive Symptoms in Adolescents in Yunnan, Southwest China From Before COVID-19 to During the COVID-19 Pandemic: Longitudinal, Observational Study.JMIR public health and surveillance · 2024Observational
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4 authors at 2 institutions in 1 country.
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Abstract
Background: Depression of adolescents is an important public health problem. Persistent depression will become a huge hidden danger of individual mental health development. It is important to study the change mechanism of adolescents' depression. Methods: A total of 563 males and 739 females aged 11-19 years reported their depression. 1302 adolescents participated in a short-term 6-month longitudinal study. They were contacted every three months for two follow-up tests (T2 and T3). Participants completed internet addiction test, self-rating anxiety scale and self-rating depression scale. Multiple-group latent profile transition analysis (MLPTA) was used to identify meaningful subgroups and transitions between groups across time. Covariates (anxiety and internet addiction) were used to analyze the influencing factors. Results: The results showed that: (1) There are three categories of adolescents' depression, namely no-depression group, low-depression-mountain group and low-depression-hill group. (2) The depression of the subjects showed a trend of improvement, but the proportion of low-depression-mountain group is relatively high at three time points (0.44, 0.59, and 0.30). (3) The transition probability between the low-depression-mountain group and the no-depression group is large, which suggests the low-depression-mountain group can easily convert into the no-depression group, but the transition probability from low-depression-hill group to other groups is relatively low and stable, which suggests the low-depression-hill group is not easily converted into the no-depression group. (4) Both anxiety and internet addiction affect the development of adolescents' depression across three time points. Anxiety played a significant role in affecting female adolescents' depression, while internet addiction played a significant role in affecting male adolescents' depression. Conclusion: This study demonstrated a transition pattern in adolescents' depression. We should pay more attention to the low-depression-mountain group and try to do their mental health well. Adolescents' Depression changes rapidly with anxiety and internet addiction for different genders, which suggests that some interventions are needed.
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