Young adults' risk profiles and predictive factors of Problematic Social Media Use (PSMU): a cross-sectional study
Hylkilä, Krista; Kääriäinen, Maria; Peltonen, Aino; Castren, Sari; Mustonen, Terhi; Konttila, Jenni; Männikkö, Niko (2025-03-18)
Hylkilä, Krista
Kääriäinen, Maria
Peltonen, Aino
Castren, Sari
Mustonen, Terhi
Konttila, Jenni
Männikkö, Niko
Springer
18.03.2025
Hylkilä, K., Kääriäinen, M., Peltonen, A. et al. Young adults’ risk profiles and predictive factors of Problematic Social Media Use (PSMU): a cross-sectional study. Curr Psychol 44, 6848–6862 (2025). https://doi.org/10.1007/s12144-025-07662-w
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© The Author(s) 2025. This 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 Author(s) 2025. This 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/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202504152665
https://urn.fi/URN:NBN:fi:oulu-202504152665
Tiivistelmä
Abstract
Problematic social media use (PSMU) is a current public health concern. The current study aimed to identify the risk profiles and predictive factors of PSMU among young Finnish adults using a cross-sectional design. Survey data were analysed with K-means clustering and logistic regression, revealing three profiles: high-risk (HRG), moderate-risk (MRG), and low-risk (LRG) groups. The HRG was characterized by low conscientiousness and self-esteem, high neuroticism, and ADHD symptoms. No significant differences were noted in social support and other personality traits across profiles. Significant associations were found between profiles and sociodemographic factors, social media use duration, and motivations for use. These findings underscore the need to consider sociodemographic, psychosocial, and motivational factors in identifying individuals at risk for PSMU. The study’s outcomes can help develop effective policies and interventions for preventing and identifying PSMU.
Problematic social media use (PSMU) is a current public health concern. The current study aimed to identify the risk profiles and predictive factors of PSMU among young Finnish adults using a cross-sectional design. Survey data were analysed with K-means clustering and logistic regression, revealing three profiles: high-risk (HRG), moderate-risk (MRG), and low-risk (LRG) groups. The HRG was characterized by low conscientiousness and self-esteem, high neuroticism, and ADHD symptoms. No significant differences were noted in social support and other personality traits across profiles. Significant associations were found between profiles and sociodemographic factors, social media use duration, and motivations for use. These findings underscore the need to consider sociodemographic, psychosocial, and motivational factors in identifying individuals at risk for PSMU. The study’s outcomes can help develop effective policies and interventions for preventing and identifying PSMU.
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