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Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling

BACKGROUND: Social networks and relationships create a sense of belonging and social identity; hence, can affect mental health and the quality of life, especially in young people. The present study was conducted to determine the predicting role of social networks and internet emotional relationships...

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Autores principales: Aliverdi, Fatemeh, Farajidana, Hoorvash, Tourzani, Zahra Mehdizadeh, Salehi, Leili, Qorbani, Mostafa, Mohamadi, Farima, Mahmoodi, Zohreh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255442/
https://www.ncbi.nlm.nih.gov/pubmed/35790935
http://dx.doi.org/10.1186/s12888-022-04097-6
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author Aliverdi, Fatemeh
Farajidana, Hoorvash
Tourzani, Zahra Mehdizadeh
Salehi, Leili
Qorbani, Mostafa
Mohamadi, Farima
Mahmoodi, Zohreh
author_facet Aliverdi, Fatemeh
Farajidana, Hoorvash
Tourzani, Zahra Mehdizadeh
Salehi, Leili
Qorbani, Mostafa
Mohamadi, Farima
Mahmoodi, Zohreh
author_sort Aliverdi, Fatemeh
collection PubMed
description BACKGROUND: Social networks and relationships create a sense of belonging and social identity; hence, can affect mental health and the quality of life, especially in young people. The present study was conducted to determine the predicting role of social networks and internet emotional relationships on students’ mental health and quality of life. METHODS: The present cross-sectional study was conducted in 2021 on 350 students at Alborz University of Medical Sciences selected by convenience sampling. Data were collected using five questionnaires: socioeconomic status, social networks, internet emotional relationships, stress, anxiety, depression scale (DASS-21), quality of life, and a checklist of demographic details. Data were analyzed in SPSS-25, PLS-3, and Lisrel-8.8. RESULTS: According to the path analysis, the DASS-21 score had the most significant positive causal association with internet emotional relationships in the direct path (B = 0.22) and the most negative association with socioeconomic status (B = − 0.09). Quality of life had the highest negative causal association with the DASS-21 score in the direct path (B = − 0.26) and the highest positive association with socioeconomic status in the indirect path (B = 0.02). The mean duration of using social networks (B ≈ − 0.07) and internet emotional relationships (B ≈ − 0.09) had the highest negative association with quality of life. CONCLUSION: The use of the internet and virtual networks, internet emotional relationships, and unfavorable socioeconomic status were associated with higher DASS-21 scores and reduced quality of life in the students. Since students are the future of countries, it is necessary for policymakers to further address this group and their concerns.
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spelling pubmed-92554422022-07-06 Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling Aliverdi, Fatemeh Farajidana, Hoorvash Tourzani, Zahra Mehdizadeh Salehi, Leili Qorbani, Mostafa Mohamadi, Farima Mahmoodi, Zohreh BMC Psychiatry Research BACKGROUND: Social networks and relationships create a sense of belonging and social identity; hence, can affect mental health and the quality of life, especially in young people. The present study was conducted to determine the predicting role of social networks and internet emotional relationships on students’ mental health and quality of life. METHODS: The present cross-sectional study was conducted in 2021 on 350 students at Alborz University of Medical Sciences selected by convenience sampling. Data were collected using five questionnaires: socioeconomic status, social networks, internet emotional relationships, stress, anxiety, depression scale (DASS-21), quality of life, and a checklist of demographic details. Data were analyzed in SPSS-25, PLS-3, and Lisrel-8.8. RESULTS: According to the path analysis, the DASS-21 score had the most significant positive causal association with internet emotional relationships in the direct path (B = 0.22) and the most negative association with socioeconomic status (B = − 0.09). Quality of life had the highest negative causal association with the DASS-21 score in the direct path (B = − 0.26) and the highest positive association with socioeconomic status in the indirect path (B = 0.02). The mean duration of using social networks (B ≈ − 0.07) and internet emotional relationships (B ≈ − 0.09) had the highest negative association with quality of life. CONCLUSION: The use of the internet and virtual networks, internet emotional relationships, and unfavorable socioeconomic status were associated with higher DASS-21 scores and reduced quality of life in the students. Since students are the future of countries, it is necessary for policymakers to further address this group and their concerns. BioMed Central 2022-07-05 /pmc/articles/PMC9255442/ /pubmed/35790935 http://dx.doi.org/10.1186/s12888-022-04097-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Aliverdi, Fatemeh
Farajidana, Hoorvash
Tourzani, Zahra Mehdizadeh
Salehi, Leili
Qorbani, Mostafa
Mohamadi, Farima
Mahmoodi, Zohreh
Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title_full Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title_fullStr Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title_full_unstemmed Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title_short Social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
title_sort social networks and internet emotional relationships on mental health and quality of life in students: structural equation modelling
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9255442/
https://www.ncbi.nlm.nih.gov/pubmed/35790935
http://dx.doi.org/10.1186/s12888-022-04097-6
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