Multidimensional Loneliness Among University Students: A Latent Profile Approach

The latent profile analysis identified four profiles for university student loneliness, including Social and emotional lonely (31.4%), Moderate romantic lonely (23.8%), Moderate social lonely (8.2%), and Severe romantic lonely (36.6%). Moreover, the Social and emotional lonely profile scored the highest on depression, anxiety, and stress. The Moderate romantic lonely profile scored the highest on life satisfaction and social support. Being in a relationship decreased the likelihood of being categorized as Severe romantic lonely. In terms of personality, neuroticism was the strongest predictor of profile membership. This study is a step towards identifying at-risk lonely individuals with varying sources of loneliness. Identifying different profiles of lonely individuals will have direct implications for designing interventions that cater to a particular group rather than a one-size-fits-all approach.

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Publication Details

Journal
International Journal of Environmental Research and Public Health
Published
2025-12-31
DOI
https://doi.org/10.3390/ijerph23010050
Primary Topic
Health disparities and outcomes
Type
article
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article

Multidimensional Loneliness Among University Students: A Latent Profile Approach

Sarabjeet Kaur Chawla, Ayan Banerjee, Vrrinda Kohli, Neena Kohli
International Journal of Environmental Research and Public Health
Health disparities and outcomes
article

Multidimensional Loneliness Among University Students: A Latent Profile Approach

Sarabjeet Kaur Chawla, Ayan Banerjee, Vrrinda Kohli, Neena Kohli
article en

Abstract

The latent profile analysis identified four profiles for university student loneliness, including Social and emotional lonely (31.4%), Moderate romantic lonely (23.8%), Moderate social lonely (8.2%), and Severe romantic lonely (36.6%). Moreover, the Social and emotional lonely profile scored the highest on depression, anxiety, and stress. The Moderate romantic lonely profile scored the highest on life satisfaction and social support. Being in a relationship decreased the likelihood of being categorized as Severe romantic lonely. In terms of personality, neuroticism was the strongest predictor of profile membership. This study is a step towards identifying at-risk lonely individuals with varying sources of loneliness. Identifying different profiles of lonely individuals will have direct implications for designing interventions that cater to a particular group rather than a one-size-fits-all approach.

International Journal of Environmental Research and Public HealthVol. 23(1)
Manipal Academy of Higher Education (IN), University of Allahabad (IN)
No poverty
Openalex Percentile: Top 28%
Health disparities and outcomes
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Multidimensional Loneliness Among University Students: A Latent Profile Approach — Sarabjeet Kaur Chawla, Ayan Banerjee, et al. · International Journal of Environmental Research and Public Health (2025) | TGRS Research Map | TGRS