BMC Psychiatry (Dec 2023)

Predictors of problematic smartphone use among young adult lesbian, gay and bisexual individuals during the COVID-19 pandemic: a four-year follow-up study

  • Mei-Feng Huang,
  • Yu-Ping Chang,
  • Wen-Jiun Chou,
  • Cheng-Fang Yen

DOI
https://doi.org/10.1186/s12888-023-05326-2
Journal volume & issue
Vol. 23, no. 1
pp. 1 – 8

Abstract

Read online

Abstract Background This 4-year follow-up study was conducted to evaluate the predictive effects of prepandemic individual and environmental factors on problematic smartphone use (PSU) among young adult lesbian, gay, and bisexual (LGB) individuals during the COVID-19 pandemic. Methods Data on prepandemic PSU, demographics, sexual stigma (e.g., perceived sexual stigma from family members, internalized sexual stigma, and sexual microaggression), self-identity confusion (e.g., disturbed identity, unconsolidated identity, and lack of identity), anxiety, depression, and family support were collected from 1,000 LGB individuals between August 2018 and June 2019. The participants’ PSU was surveyed again after 4 years (between August 2022 and June 2023). The associations of prepandemic individual and environmental factors with PSU at follow-up were analyzed through linear regression. Results In total, 673 (67.3%) participants completed the follow-up assessment. The severity of PSU significantly decreased after 4 years (p = .001). Before the incorporation of PSU at baseline into the analysis model, the results of the model revealed that high levels depressive symptoms (p < .001), disturbed identity (p < .001), and perceived sexual stigma from family members (p = .025) at baseline were significantly associated with PSU at follow-up. After the incorporation of PSU at baseline into the analysis model, the results of the model revealed that high levels PSU (p < .001) and depressive symptoms (p = .002) at baseline were significantly associated with PSU at follow-up. Conclusion Interventions aimed at reducing the severity of PSU among LGB individuals should be designed considering the predictors identified in our study.

Keywords