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Dataset Information

Latent class analysis of loneliness and connectedness in US young adults during COVID-19.


ABSTRACT:

Objective

The coronavirus disease 2019 (COVID-19) pandemic in the United States has exacerbated a number of mental health conditions and problems related to prolonged social isolation. While COVID-19 has led to greater loneliness and a lack of social connectedness, little is known about who are the most affected and how they are impacted. Therefore, we performed a Latent Class Analysis using items from two scales - the UCLA Loneliness Scale and the Social Connectedness Scale - to characterize different experiences of loneliness and connectedness, examine their relationship with mental health and substance use symptoms, including depression, anxiety, drinking, and drug use.

Methods

Data were drawn from an anonymous one-time online survey examining the mental health of 1008 yo

SUBMITTER: Schmidt RD 

PROVIDER: S-EPMC9088272 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature