Journal article
Anxiety in the adult population from the onset to termination of social distancing protocols during the COVID-19: a 20-month longitudinal study
- Abstract:
- The purpose of this study was to identify the predisposing, need, and enabling factors that predict mental health services use before and during COVID-19 in an integrated primary care network in the Philadelphia metropolitan area. This retrospective observational study examined a sample of primary care patients from January 2018 to February 2020 (i.e., pre-COVID-19) and March 2020 to December 2022 (i.e., peri- COVID-19) using electronic health record data. Mental health services use was defined as the number of appointments attended by patients. A hierarchical regression was conducted to identify predictors of mental health services use by sequentially adding sociodemographic predisposing factors, clinical need factors, and service-level enabling factors. In the pre-COVID-19 sample (N = 1070), only Asian race and non-Hispanic White race were significant predictors but only explained 6% of the variance in mental health services use, F(9, 1060) = 7.27, p \u3c .001, R2 = .06). In the peri-Covid-19 sample (N = 2723), the final model incorporating enabling factors while controlling for predisposing and need factors accounted for an additional 1% in the variance of mental health services use, F(3, 2706) = 4.32, p = .005, R2 = .06. Findings suggest that financial status, age, Asian race, non-Hispanic White race, other race excluding non-Hispanic Black race, and depression symptoms were significantly associated with increased mental health services use during COVID-19. Thus, disparities based on race and financial status may have increased during COVID-19
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.0MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-022-22686-z
Authors
- Publisher:
- Nature Research
- Journal:
- Scientific Reports More from this journal
- Volume:
- 12
- Issue:
- 1
- Pages:
- 17846-17846
- Article number:
- 17846
- Publication date:
- 2022-10-25
- DOI:
- EISSN:
-
2045-2322
- ISSN:
-
2045-2322
- Language:
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English
- Keywords:
-
- Pubs id:
-
1995495
- Local pid:
-
pubs:1995495
- Source identifiers:
-
W4307385104
- Deposit date:
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2026-06-11
- ARK identifier:
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- Copyright date:
- 2022
- Licence:
- CC Attribution (CC BY)
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