Reliability and Mental Health Correlates of a Single-Item Measure of Self-Rated Mental Health (SRMH) in the Chinese Context

  • Hong Wang Fung
  • , Stanley Kam Ki Lam
  • , Wai Tong Chien
  • , Henry Wai Hang Ling
  • , Zi Yi Wu
  • , Colin A. Ross
  • , Anson Kai Chun Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)

Abstract

The use of single-item measures of self-rated mental health (SRMH) has been increasingly valued in epidemiologic research. However, little is known about the reliability and mental health correlates of SRMH in Chinese populations. This study examined the reliability and mental health correlates of SRMH in three Chinese samples. We analyzed data collected from two convenience samples of Chinese adults from Hong Kong and/or Taiwan (Sample 1: N = 205; Sample 2: N = 377), and a random sample of Taiwan psychiatric inpatients (Sample 3: N = 100). Our results showed that the single-item measure of SRMH had moderate to good test–retest reliability (intraclass correlation [ICC] = 0.75) in Sample 1 and acceptable reliability between the self-report and interviewer-administered versions (ICC = 0.58) in Sample 3. It had a high positive correlation with self-esteem and a moderately high negative correlation with depression. It also had a consistently negative correlation with borderline personality disorder symptoms and post-traumatic stress disorder symptoms. The SRMH score was also associated with psychiatric service usage. These findings contribute to the body of knowledge regarding the use of a single-item measure of SRMH to assess overall self-perceived mental health in Chinese communities.

Original languageEnglish
Article number122
JournalHealthcare (Switzerland)
Volume12
Issue number1
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

Keywords

  • assessment
  • epidemiology
  • mental health
  • public health
  • reliability
  • self-rated mental health (SRMH)

ASJC Scopus subject areas

  • Leadership and Management
  • Health Policy
  • Health Informatics
  • Health Information Management

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