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Heterogeneity in depressive and anxiety symptoms and loneliness during the COVID-19 pandemic: Results from three Dutch psychiatric case-control cohorts from April 2020 to February 2022.
Klokgieters, Silvia S; Penninx, Brenda W J H; Rius Ottenheim, Nathaly; Giltay, Erik J; Rhebergen, Didi; Kok, Almar A L.
  • Klokgieters SS; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, The Netherlands. Electronic address: s.klokgieters@amsterdamumc.nl.
  • Penninx BWJH; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health, Mental Health programme, Amsterdam, The Netherlands.
  • Rius Ottenheim N; Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands.
  • Giltay EJ; Department of Psychiatry, Leiden University Medical Center, Leiden, the Netherlands.
  • Rhebergen D; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, The Netherlands; Mental Health Institute GGz Centraal, Amersfoort, the Netherlands.
  • Kok AAL; Amsterdam UMC location Vrije Universiteit Amsterdam, Department of Psychiatry, Boelelaan 1117, Amsterdam, The Netherlands; Amsterdam Public Health, Mental Health programme, Amsterdam, The Netherlands.
J Psychosom Res ; 165: 111138, 2023 02.
Article in English | MEDLINE | ID: covidwho-2165631
ABSTRACT

OBJECTIVE:

While research found heterogeneous changes in mental health during the COVID-19 pandemic, less is known about the long-term changes in mental health in psychiatric groups. Therefore, we applied a data-driven method to detect sub-groups with distinct trajectories across two years into the pandemic in psychiatric groups, and described their differences in socio-demographic and clinical characteristics.

METHOD:

We conducted sixteen rounds of questionnaires between April 2020 and February 2022 among participants (n = 1722) of three psychiatric case-control cohorts that started in the 2000's. We used Growth Mixture Modelling and (multinomial) logistic regression to identify characteristics associated with trajectory membership.

RESULTS:

We found low decreasing (1228 [72%] participants), intermediate (n = 348 [22%] participants) and high stable (106 [6%] participants) trajectories of depressive symptoms; decreasing low/intermediate (1507 [90%] participants) and high stable (161 [10%] participants) trajectories of anxiety symptoms; and stable low (1109 [61%] participants), stable high (315 [17%] participants), temporary lowered (123 [9%]) and temporary heightened (175 [13%] participants) trajectories of loneliness. Chronicity and severity of pre-pandemic mental disorders predicted unfavourable sub-group membership for all outcomes. Being female, having a low education and income level were associated with unfavourable trajectories of depression, being younger with unfavourable trajectories of anxiety and being female and living alone with unfavourable trajectories of loneliness.

CONCLUSION:

We found relatively stable trajectories of depression and anxiety symptoms over two years, suggesting low heterogeneity in outcomes during the pandemic. For loneliness, we found two specific sub-groups with temporary increase and decrease in loneliness during the pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Male Language: English Journal: J Psychosom Res Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Qualitative research / Randomized controlled trials Topics: Long Covid Limits: Female / Humans / Male Language: English Journal: J Psychosom Res Year: 2023 Document Type: Article