Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg

Social media use has increased substantially over the past decades, especially among adolescents. A proportion of adolescents develop a pattern of problematic social media use (PSMU). Predictors of PSMU are insufficiently understood and researched. This study aims to investigate predictors of PSMU i...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Claire van Duin, Andreas Heinz, Helmut Willems
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	problematic social media use (PSMU) adolescents social media social support media effects health behavior in School-aged Children (HBSC) Medicine R
Acceso en línea:	https://doaj.org/article/3722a4d08b5047a9bfa4aea96b633ef4
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:3722a4d08b5047a9bfa4aea96b633ef4
record_format	dspace
spelling	oai:doaj.org-article:3722a4d08b5047a9bfa4aea96b633ef42021-11-25T17:49:08ZPredictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg10.3390/ijerph1822118781660-46011661-7827https://doaj.org/article/3722a4d08b5047a9bfa4aea96b633ef42021-11-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/22/11878https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Social media use has increased substantially over the past decades, especially among adolescents. A proportion of adolescents develop a pattern of problematic social media use (PSMU). Predictors of PSMU are insufficiently understood and researched. This study aims to investigate predictors of PSMU in a nationally representative sample of adolescents in Luxembourg. Data from the Health Behavior in School-aged Children (HBSC) study in Luxembourg were used, in which 8687 students aged 11–18 years old participated. The data were analyzed using hierarchical multiple regression. A range of sociodemographic, social support, well-being and media use predictors were added to the model in four blocks. The predictors in the final model explained 22.3% of the variance in PSMU. The block of sociodemographic predictors explained the lowest proportion of variance in PSMU compared with the other blocks. Age negatively predicted PSMU. Of the predictors related to social support, cyberbullying perpetration was the strongest predictor of PSMU. Perceived stress and psychosomatic complaints positively predicted PSMU. The intensity of electronic media communication and preference for online social interaction were stronger predictors of PSMU than the other predictors in the model. The results indicate that prevention efforts need to consider the diverse range of predictors related to PSMU.Claire van DuinAndreas HeinzHelmut WillemsMDPI AGarticleproblematic social media use (PSMU)adolescentssocial mediasocial supportmedia effectshealth behavior in School-aged Children (HBSC)MedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11878, p 11878 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	problematic social media use (PSMU) adolescents social media social support media effects health behavior in School-aged Children (HBSC) Medicine R
spellingShingle	problematic social media use (PSMU) adolescents social media social support media effects health behavior in School-aged Children (HBSC) Medicine R Claire van Duin Andreas Heinz Helmut Willems Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
description	Social media use has increased substantially over the past decades, especially among adolescents. A proportion of adolescents develop a pattern of problematic social media use (PSMU). Predictors of PSMU are insufficiently understood and researched. This study aims to investigate predictors of PSMU in a nationally representative sample of adolescents in Luxembourg. Data from the Health Behavior in School-aged Children (HBSC) study in Luxembourg were used, in which 8687 students aged 11–18 years old participated. The data were analyzed using hierarchical multiple regression. A range of sociodemographic, social support, well-being and media use predictors were added to the model in four blocks. The predictors in the final model explained 22.3% of the variance in PSMU. The block of sociodemographic predictors explained the lowest proportion of variance in PSMU compared with the other blocks. Age negatively predicted PSMU. Of the predictors related to social support, cyberbullying perpetration was the strongest predictor of PSMU. Perceived stress and psychosomatic complaints positively predicted PSMU. The intensity of electronic media communication and preference for online social interaction were stronger predictors of PSMU than the other predictors in the model. The results indicate that prevention efforts need to consider the diverse range of predictors related to PSMU.
format	article
author	Claire van Duin Andreas Heinz Helmut Willems
author_facet	Claire van Duin Andreas Heinz Helmut Willems
author_sort	Claire van Duin
title	Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
title_short	Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
title_full	Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
title_fullStr	Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
title_full_unstemmed	Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg
title_sort	predictors of problematic social media use in a nationally representative sample of adolescents in luxembourg
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/3722a4d08b5047a9bfa4aea96b633ef4
work_keys_str_mv	AT clairevanduin predictorsofproblematicsocialmediauseinanationallyrepresentativesampleofadolescentsinluxembourg AT andreasheinz predictorsofproblematicsocialmediauseinanationallyrepresentativesampleofadolescentsinluxembourg AT helmutwillems predictorsofproblematicsocialmediauseinanationallyrepresentativesampleofadolescentsinluxembourg
_version_	1718411977689137152

Predictors of Problematic Social Media Use in a Nationally Representative Sample of Adolescents in Luxembourg

Ejemplares similares