Cargando…

Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale

Social media use has been linked to adverse health outcomes such as depression. To facilitate interventions, understanding the varied causes of depression is necessary. The authors developed a social media-induced depression tendency (SMIDT) scale for use with young people and aimed to validate it f...

Descripción completa

Detalles Bibliográficos
Autores principales: Ugwu, Lawrence Ejike, Idemudia, Erhabor Sunday, Chukwu, Olive O., Onyedibe, Maria Chidi Christiana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256438/
https://www.ncbi.nlm.nih.gov/pubmed/37305812
http://dx.doi.org/10.1155/2023/8677521
_version_ 1785057103413510144
author Ugwu, Lawrence Ejike
Idemudia, Erhabor Sunday
Chukwu, Olive O.
Onyedibe, Maria Chidi Christiana
author_facet Ugwu, Lawrence Ejike
Idemudia, Erhabor Sunday
Chukwu, Olive O.
Onyedibe, Maria Chidi Christiana
author_sort Ugwu, Lawrence Ejike
collection PubMed
description Social media use has been linked to adverse health outcomes such as depression. To facilitate interventions, understanding the varied causes of depression is necessary. The authors developed a social media-induced depression tendency (SMIDT) scale for use with young people and aimed to validate it for young people in Nigeria. The study was conducted in three parts using an online survey (Google Forms) with purposive sampling targeting young people. Study 1 was an exploratory study that developed the SMIDT scale with 361 young people aged 16 to 26 years (mean age = 22.81). A concise measure of SMIDT was obtained. In study 2, confirmatory factor analysis was performed on the SMIDT with young people aged 17 to 25 years (mean age = 23.61). Construct, discriminant, and concurrent validities were established, and three factors were identified (sensitivity/attention seeking, worthlessness, and escapism/reality avoidance), which explained 55.87% of the variance. Study 3 tested the predictive validity of the scale. The results showed that the 15-item SMIDT scale had high internal consistency and satisfactory validity. The SMIDT scale can enable the assessment of factors associated with social media-induced depression tendency. The three factors identified in the scale provide insight into the factors contributing to depression associated with social media use. The SMIDT scale has the potential to help identify at-risk individuals and in-developing interventions to prevent or reduce social media-induced depression tendencies. However, this study only focused on young people in Nigeria. Additional studies using the SMIDT scale are required to assess its generalizability and applicability in evaluating other factors, such as quality of life among young people. Moreover, while social media use has been associated with adverse health outcomes, it is crucial to recognize that it can also positively affect mental health. Further research is necessary to explore the complex relationships between social media use and mental health outcomes.
format Online
Article
Text
id pubmed-10256438
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-102564382023-06-10 Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale Ugwu, Lawrence Ejike Idemudia, Erhabor Sunday Chukwu, Olive O. Onyedibe, Maria Chidi Christiana Depress Res Treat Research Article Social media use has been linked to adverse health outcomes such as depression. To facilitate interventions, understanding the varied causes of depression is necessary. The authors developed a social media-induced depression tendency (SMIDT) scale for use with young people and aimed to validate it for young people in Nigeria. The study was conducted in three parts using an online survey (Google Forms) with purposive sampling targeting young people. Study 1 was an exploratory study that developed the SMIDT scale with 361 young people aged 16 to 26 years (mean age = 22.81). A concise measure of SMIDT was obtained. In study 2, confirmatory factor analysis was performed on the SMIDT with young people aged 17 to 25 years (mean age = 23.61). Construct, discriminant, and concurrent validities were established, and three factors were identified (sensitivity/attention seeking, worthlessness, and escapism/reality avoidance), which explained 55.87% of the variance. Study 3 tested the predictive validity of the scale. The results showed that the 15-item SMIDT scale had high internal consistency and satisfactory validity. The SMIDT scale can enable the assessment of factors associated with social media-induced depression tendency. The three factors identified in the scale provide insight into the factors contributing to depression associated with social media use. The SMIDT scale has the potential to help identify at-risk individuals and in-developing interventions to prevent or reduce social media-induced depression tendencies. However, this study only focused on young people in Nigeria. Additional studies using the SMIDT scale are required to assess its generalizability and applicability in evaluating other factors, such as quality of life among young people. Moreover, while social media use has been associated with adverse health outcomes, it is crucial to recognize that it can also positively affect mental health. Further research is necessary to explore the complex relationships between social media use and mental health outcomes. Hindawi 2023-04-19 /pmc/articles/PMC10256438/ /pubmed/37305812 http://dx.doi.org/10.1155/2023/8677521 Text en Copyright © 2023 Lawrence Ejike Ugwu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ugwu, Lawrence Ejike
Idemudia, Erhabor Sunday
Chukwu, Olive O.
Onyedibe, Maria Chidi Christiana
Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title_full Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title_fullStr Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title_full_unstemmed Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title_short Measuring the Impact of Social Media on Young People's Mental Health: Development and Validation of the Social Media-Induced Tendency Scale
title_sort measuring the impact of social media on young people's mental health: development and validation of the social media-induced tendency scale
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256438/
https://www.ncbi.nlm.nih.gov/pubmed/37305812
http://dx.doi.org/10.1155/2023/8677521
work_keys_str_mv AT ugwulawrenceejike measuringtheimpactofsocialmediaonyoungpeoplesmentalhealthdevelopmentandvalidationofthesocialmediainducedtendencyscale
AT idemudiaerhaborsunday measuringtheimpactofsocialmediaonyoungpeoplesmentalhealthdevelopmentandvalidationofthesocialmediainducedtendencyscale
AT chukwuoliveo measuringtheimpactofsocialmediaonyoungpeoplesmentalhealthdevelopmentandvalidationofthesocialmediainducedtendencyscale
AT onyedibemariachidichristiana measuringtheimpactofsocialmediaonyoungpeoplesmentalhealthdevelopmentandvalidationofthesocialmediainducedtendencyscale