Cargando…
Media use degree and depression: A latent profile analysis from Chinese residents
BACKGROUND: Previous studies have emphasized the media as an essential channel for understanding information about depression. However, they have not divided groups according to the degree of media use to study their differences in depression. Therefore, this study aims to explore the influence of m...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887043/ https://www.ncbi.nlm.nih.gov/pubmed/36733883 http://dx.doi.org/10.3389/fpsyg.2022.1070774 |
_version_ | 1784880252531507200 |
---|---|
author | Gong, Fangmin Yi, Pei Yu, Lian Fan, Siyuan Gao, Guangze Jin, Yile Zeng, Leixiao Li, Yang Ma, Zheng Feei |
author_facet | Gong, Fangmin Yi, Pei Yu, Lian Fan, Siyuan Gao, Guangze Jin, Yile Zeng, Leixiao Li, Yang Ma, Zheng Feei |
author_sort | Gong, Fangmin |
collection | PubMed |
description | BACKGROUND: Previous studies have emphasized the media as an essential channel for understanding information about depression. However, they have not divided groups according to the degree of media use to study their differences in depression. Therefore, this study aims to explore the influence of media use on depression and the influencing factors of depression in people with different media use degrees. METHODS: Based on seven items related to media use, a total of 11, 031 respondents were categorized by the frequency of media use using latent profile analysis (LPA). Secondly, multiple linear regression analyzes were conducted to analyze the effects of depression in people with different degrees of media use. Finally, factors influencing depression among people with different degrees of media use were explored separately. RESULTS: All respondents were classified into three groups: media use low-frequency (9.7%), media use general (67.1%), and media use high-frequency (23.2%). Compared with media use general group, media use low-frequency (β = 0.019, p = 0.044) and media use high-frequency (β = 0.238, p < 0.001) groups are significantly associated with depression. The factors influencing depression in the population differed between media use low-frequency, media use general, and media use high-frequency groups. CONCLUSION: The government and the appropriate departments should develop targeted strategies for improving the overall health status of people with different media use degrees. |
format | Online Article Text |
id | pubmed-9887043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98870432023-02-01 Media use degree and depression: A latent profile analysis from Chinese residents Gong, Fangmin Yi, Pei Yu, Lian Fan, Siyuan Gao, Guangze Jin, Yile Zeng, Leixiao Li, Yang Ma, Zheng Feei Front Psychol Psychology BACKGROUND: Previous studies have emphasized the media as an essential channel for understanding information about depression. However, they have not divided groups according to the degree of media use to study their differences in depression. Therefore, this study aims to explore the influence of media use on depression and the influencing factors of depression in people with different media use degrees. METHODS: Based on seven items related to media use, a total of 11, 031 respondents were categorized by the frequency of media use using latent profile analysis (LPA). Secondly, multiple linear regression analyzes were conducted to analyze the effects of depression in people with different degrees of media use. Finally, factors influencing depression among people with different degrees of media use were explored separately. RESULTS: All respondents were classified into three groups: media use low-frequency (9.7%), media use general (67.1%), and media use high-frequency (23.2%). Compared with media use general group, media use low-frequency (β = 0.019, p = 0.044) and media use high-frequency (β = 0.238, p < 0.001) groups are significantly associated with depression. The factors influencing depression in the population differed between media use low-frequency, media use general, and media use high-frequency groups. CONCLUSION: The government and the appropriate departments should develop targeted strategies for improving the overall health status of people with different media use degrees. Frontiers Media S.A. 2023-01-17 /pmc/articles/PMC9887043/ /pubmed/36733883 http://dx.doi.org/10.3389/fpsyg.2022.1070774 Text en Copyright © 2023 Gong, Yi, Yu, Fan, Gao, Jin, Zeng, Li and Ma. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Gong, Fangmin Yi, Pei Yu, Lian Fan, Siyuan Gao, Guangze Jin, Yile Zeng, Leixiao Li, Yang Ma, Zheng Feei Media use degree and depression: A latent profile analysis from Chinese residents |
title | Media use degree and depression: A latent profile analysis from Chinese residents |
title_full | Media use degree and depression: A latent profile analysis from Chinese residents |
title_fullStr | Media use degree and depression: A latent profile analysis from Chinese residents |
title_full_unstemmed | Media use degree and depression: A latent profile analysis from Chinese residents |
title_short | Media use degree and depression: A latent profile analysis from Chinese residents |
title_sort | media use degree and depression: a latent profile analysis from chinese residents |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9887043/ https://www.ncbi.nlm.nih.gov/pubmed/36733883 http://dx.doi.org/10.3389/fpsyg.2022.1070774 |
work_keys_str_mv | AT gongfangmin mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT yipei mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT yulian mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT fansiyuan mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT gaoguangze mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT jinyile mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT zengleixiao mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT liyang mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents AT mazhengfeei mediausedegreeanddepressionalatentprofileanalysisfromchineseresidents |