TY  - EJOU
AU  - Wang, Jianlong 
AU  - Chen, Xiumei 
AU  - Huang, Muqi 
AU  - Liu, Rui 
AU  - Chen, I-Hua 
AU  - Flett, Gordon L. 

TI  - Latent Profile Analysis: Mattering Concepts, Problematic Internet Use, and Adaptability in Chinese University Students
T2  - International Journal of Mental Health Promotion

PY  - 2025
VL  - 27
IS  - 2
SN  - 2049-8543

AB  -  <b>Background:</b> This study addresses the pressing need to understand the nuanced relationship between ‘mattering’—the perception of being significant to others—and problematic internet use (PIU) among university students. Unlike previous research that has primarily employed variable-centered approaches, this study first adopts a person-centered approach using Latent Profile Analysis (LPA) to identify distinct mattering profiles. Subsequently, through variable-centered analyses, these profiles are examined in relation to different types of PIU—specifically problematic social media use (PSMU) and problematic gaming (PG)—as well as adaptability. <b>Methods:</b> Data were collected from 3587 university students across 19 universities in China. Participants completed three mattering-related scales (General Mattering Scale, Anti-Mattering Scale, and Fear of Not Mattering Inventory), along with the Bergen Social Media Addiction Scale, the Internet Gaming Disorder Scale-Short Form, and the Nine-item Adaptability Scale. <b>Results:</b> A four-class model identified by LPA was optimally selected: Class 1 (high general mattering, low anti-mattering, low fear of not mattering), Class 2 (moderate levels), Class 3 (moderate general mattering, high anti-mattering, high fear of not mattering), and Class 4 (low general mattering, low fear of not mattering, moderate anti-mattering). Significant differences were found among these classes in both PIU types (PSMU: <i>F</i> = 139.66, <i>p</i> < 0.001; PG: <i>F</i> = 162.96, <i>p</i> < 0.001). The pattern of mean differences consistently showed: Class 3 > Class 2 > Class 4 > Class 1. Class 3 participants demonstrated the highest likelihood of meeting the addiction criteria, Class 2 showed moderate probability, while Classes 1 and 4 exhibited lower probabilities (χ<sup>2</sup> = 113.38 to 408.87, all <i>p</i> < 0.001). Additionally, Class 3 reported the lowest adaptability (<i>F</i> = 131.67, <i>p</i> < 0.001). <b>Conclusion:</b> This study reveals that the unique influence of three ways of assessing feelings of mattering and the fear of not mattering on university students’ PIU at the personal level, concluding that these factors are integral to understanding PIU among this demographic.
KW  - Mattering; problematic social media use; problematic gaming; adaptability; latent profile analysis

DO  - 10.32604/ijmhp.2025.058503