COVID-19 pandemic: influence of relationship status on stress, anxiety, and depression in Canada

Ir J Psychol Med. 2022 Dec;39(4):351-362. doi: 10.1017/ipm.2021.1. Epub 2021 Jan 14.

Abstract

Objective: To examine the impact of relationship status on levels of stress, anxiety, and depression during the coronavirus (COVID-19) pandemic to identify relationship status groups who are at greater risk of mental health difficulties.

Methods: The sample was drawn from individuals who subscribed to the Text4Hope program, a cognitive behavioral therapy inspired text messaging service developed to support Albertans during the COVID-19 pandemic. A survey link was sent to the subscribers to ascertain their relationship status and assess psychopathology using the Perceived Stress Scale-10 (PSS-10), Generalized Anxiety Disorder 7-item (GAD-7) scale, and Patient Health Questionnaire-9 (PHQ-9). Data analysis was carried out using SPSS-26 for descriptive statistics.

Results: Within the first 6 weeks of the pandemic, 8267 of 44·992 subscribers responded to the online survey giving a response rate of 19.4%. Mean scores on the PSS, GAD-7, and PHQ-9 were highest among those who were single and lowest among those who were widowed. Overall, mean scores on the PHQ-9 were higher in groups who self-identified as separated or divorced when compared with groups who identified as having partners, including the categories of married or cohabiting.

Conclusions: Relationship status during the COVID-19 pandemic has an influence on the mental health of individuals. Our findings highlight relationship groups at risk of mental health problems during the pandemic and for whom treatments and mitigation should be targeted.

Keywords: Anxiety; COVID-19; Text4Hope; depression; e-mental health; mobile phones; pandemic; relationship status; stress; text.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Anxiety / epidemiology
  • Anxiety Disorders / epidemiology
  • COVID-19* / psychology
  • Canada
  • Depression / epidemiology
  • Humans
  • Pandemics