Development of severe psychological distress among low-income individuals during the COVID-19 pandemic: longitudinal study.

Novel coronavirus general population inequality mental health socioeconomic status

Journal

BJPsych open
ISSN: 2056-4724
Titre abrégé: BJPsych Open
Pays: England
ID NLM: 101667931

Informations de publication

Date de publication:
15 Feb 2021
Historique:
entrez: 15 2 2021
pubmed: 16 2 2021
medline: 16 2 2021
Statut: epublish

Résumé

It has been indicated that the health impact of COVID-19 is potentially greater in individuals from lower socioeconomic status than in the overall population. To examine how the spread of COVID-19 has altered the general public's mental health, and whether such changes differ in relation to individual income. An online longitudinal survey was conducted at three different time periods during the pandemic. We recruited 1993 people aged 20-70 years, living in the Tokyo metropolitan area in Japan. Participants' mental health was measured with the six-item version of the Kessler Psychological Distress Scale; the existence of severe psychological distress was ascertained through the cut-off data. Multiple logistic and mixed-model ordinal logistic regression analyses were performed, with income as the independent variable. Of the participants, 985 were male, with a mean age of 50.5 (±15.8) years. Severe psychological distress percentages for each tested period were 9.3%, 11.2% and 10.7% for phases 1, 2 and 3, respectively. Between phases 1 and 2 or phases 2 and 3, the group that earned <£15 000 had significantly higher propensity to develop severe psychological distress than the group that earned ≥£45 000 (odds ratio 2.09, 95% CI 0.95-4.56 between phases 1 and 2; odds ratio 3.00, 95% CI 1.01-9.58 between phases 2 and 3). Although there has been significant deterioration in mental health among citizens during the COVID-19 pandemic, this was more significant among those with lower income. Therefore, mental health measures that focus on low socioeconomic groups may be necessary.

Sections du résumé

BACKGROUND BACKGROUND
It has been indicated that the health impact of COVID-19 is potentially greater in individuals from lower socioeconomic status than in the overall population.
AIMS OBJECTIVE
To examine how the spread of COVID-19 has altered the general public's mental health, and whether such changes differ in relation to individual income.
METHOD METHODS
An online longitudinal survey was conducted at three different time periods during the pandemic. We recruited 1993 people aged 20-70 years, living in the Tokyo metropolitan area in Japan. Participants' mental health was measured with the six-item version of the Kessler Psychological Distress Scale; the existence of severe psychological distress was ascertained through the cut-off data. Multiple logistic and mixed-model ordinal logistic regression analyses were performed, with income as the independent variable.
RESULTS RESULTS
Of the participants, 985 were male, with a mean age of 50.5 (±15.8) years. Severe psychological distress percentages for each tested period were 9.3%, 11.2% and 10.7% for phases 1, 2 and 3, respectively. Between phases 1 and 2 or phases 2 and 3, the group that earned <£15 000 had significantly higher propensity to develop severe psychological distress than the group that earned ≥£45 000 (odds ratio 2.09, 95% CI 0.95-4.56 between phases 1 and 2; odds ratio 3.00, 95% CI 1.01-9.58 between phases 2 and 3).
CONCLUSIONS CONCLUSIONS
Although there has been significant deterioration in mental health among citizens during the COVID-19 pandemic, this was more significant among those with lower income. Therefore, mental health measures that focus on low socioeconomic groups may be necessary.

Identifiants

pubmed: 33583484
doi: 10.1192/bjo.2021.5
pii: S2056472421000053
pmc: PMC7884661
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e50

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Auteurs

Hiroyuki Kikuchi (H)

Department of Preventive Medicine and Public Health, Tokyo Medical University, Japan.

Masaki Machida (M)

Department of Preventive Medicine and Public Health, Tokyo Medical University, Japan; and Department of Infection Prevention and Control, Tokyo Medical University Hospital, Japan.

Itaru Nakamura (I)

Department of Infection Prevention and Control, Tokyo Medical University Hospital, Japan.

Reiko Saito (R)

Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Japan.

Yuko Odagiri (Y)

Department of Preventive Medicine and Public Health, Tokyo Medical University, Japan.

Takako Kojima (T)

Department of International Medical Communications, Tokyo Medical University, Japan.

Hidehiro Watanabe (H)

Department of Infection Prevention and Control, Tokyo Medical University Hospital, Japan.

Shigeru Inoue (S)

Department of Preventive Medicine and Public Health, Tokyo Medical University, Japan.

Classifications MeSH