Cargando…
Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis
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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922484/ https://www.ncbi.nlm.nih.gov/pubmed/36789149 http://dx.doi.org/10.2147/PRBM.S390116 |
_version_ | 1784887544850153472 |
---|---|
author | Li, Guangming Liu, Juan Wen, Haiying Shen, Qiyun |
author_facet | Li, Guangming Liu, Juan Wen, Haiying Shen, Qiyun |
author_sort | Li, Guangming |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9922484 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-99224842023-02-13 Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis Li, Guangming Liu, Juan Wen, Haiying Shen, Qiyun Psychol Res Behav Manag Original Research 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. Dove 2023-02-08 /pmc/articles/PMC9922484/ /pubmed/36789149 http://dx.doi.org/10.2147/PRBM.S390116 Text en © 2023 Li et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Li, Guangming Liu, Juan Wen, Haiying Shen, Qiyun Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title | Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title_full | Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title_fullStr | Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title_full_unstemmed | Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title_short | Changes in Depression Among Adolescents: A Multiple-Group Latent Profile Transition Analysis |
title_sort | changes in depression among adolescents: a multiple-group latent profile transition analysis |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922484/ https://www.ncbi.nlm.nih.gov/pubmed/36789149 http://dx.doi.org/10.2147/PRBM.S390116 |
work_keys_str_mv | AT liguangming changesindepressionamongadolescentsamultiplegrouplatentprofiletransitionanalysis AT liujuan changesindepressionamongadolescentsamultiplegrouplatentprofiletransitionanalysis AT wenhaiying changesindepressionamongadolescentsamultiplegrouplatentprofiletransitionanalysis AT shenqiyun changesindepressionamongadolescentsamultiplegrouplatentprofiletransitionanalysis |