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Effects of social support on depression risk during the COVID-19 pandemic: What support types and for whom?
Choi, Karmel W; Lee, Younga H; Liu, Zhaowen; Fatori, Daniel; Bauermeister, Joshua R; Luh, Rebecca A; Clark, Cheryl R; Brunoni, André R; Bauermeister, Sarah; Smoller, Jordan W.
Afiliación
  • Choi KW; Center for Precision Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Lee YH; Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Liu Z; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.
  • Fatori D; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA.
  • Bauermeister JR; Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Luh RA; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.
  • Clark CR; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA.
  • Brunoni AR; Psychiatric & Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
  • Bauermeister S; Department of Psychiatry, Harvard Medical School, Boston, Massachusetts, USA.
  • Smoller JW; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Boston, Massachusetts, USA.
medRxiv ; 2022 May 16.
Article en En | MEDLINE | ID: mdl-35611337
ABSTRACT

Background:

Rates of depression have increased worldwide during the COVID-19 pandemic. One known protective factor for depression is social support, but more work is needed to quantify the extent to which social support could reduce depression risk during a global crisis, and specifically to identify which types of support are most helpful, and who might benefit most.

Methods:

Data were obtained from participants in the All of Us Research Program who responded to the COVID-19 Participant Experience (COPE) survey administered monthly from May 2020 to July 2020 (N=69,066, 66% female). Social support was assessed using 10 items measuring emotional/informational support (e.g., someone to confide in or talk to about yourself or your problems), positive social interaction support (e.g., someone to do things with to help you get your mind off things), and tangible support (e.g., someone to help with daily chores if sick). Elevated depression symptoms were defined based on having a moderate-to-severe (≥10) score on the Patient Health Questionnaire (PHQ-9). Mixed-effects logistic regression models were used to test associations across time between overall social support and its subtypes with depression, adjusting for age, sex, race, ethnicity, and socioeconomic factors. We then assessed interactions between social support and potential effect modifiers age, sex, pre-pandemic mood disorder, and pandemic-related stressors (e.g., financial insecurity).

Results:

Approximately 16% of the sample experienced elevated depressive symptoms. Overall social support was associated with significantly reduced odds of depression (adjusted odds ratio, aOR [95% CI]=0.44 [0.42-0.45]). Among subtypes, emotional/informational support (aOR=0.42 [0.41-0.43]) and positive social interactions (aOR=0.43 [0.41-0.44]) showed the largest protective associations with depression, followed by tangible support (aOR=0.63 [0.61-0.65]). Sex, age, and pandemic-related financial stressors were statistically significant modifiers of the association between social support and depression.

Conclusions:

Individuals reporting higher levels of social support were at reduced risk of depression during the early COVID-19 pandemic. The perceived availability of emotional support and positive social interactions, more so than tangible support, was key. Individuals more vulnerable to depression (e.g., women, younger individuals, and those experiencing financial stressors) may particularly benefit from enhanced social support, supporting a precision prevention approach.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos