Literature DB >> 32131837

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey.

Janhavi Ajit Vaingankar1, Siow Ann Chong2, Edimansyah Abdin2, Fiona Devi Siva Kumar2, Boon Yiang Chua2, Rajeswari Sambasivam2, Saleha Shafie2, Anitha Jeyagurunathan2, Esmond Seow2, Mythily Subramaniam2.   

Abstract

BACKGROUND: The link between mental illness and mental health is gaining focus in research and practice. This study aimed to investigate the association of mental disorders with positive mental health (PMH), overall health and quality of life. In addition, the role of PMH in mediating the relationships between mental disorders and health outcomes was assessed.
METHODS: The study sample comprised 2270 residents aged 18 years and above who participated in a nationally representative, cross-sectional survey estimating the lifetime prevalence of mood, anxiety and alcohol use disorders, and health outcomes (self-reported overall health, quality of life and PMH) in Singapore. The Positive Mental Health Instrument was used to estimate the level of Total PMH among the respondents with and without mental disorders. Associations between mental disorders and health outcomes were assessed through regression models. Path analyses were conducted to investigate mediating role of PMH.
RESULTS: Total PMH (Mean ± SD) was significantly lower among individuals having any of the studied lifetime mental disorders (4.23 ± 0.64 versus 4.50 ± 0.67 among those without these disorders). Although having a mood or anxiety disorder was associated with significantly lower Total PMH even after controlling for socio-demographic characteristics, similar relationship was not observed for alcohol use disorders. History of any mental disorders was also associated with lower overall health and quality of life. Total PMH mediated the relationships between mental disorders and overall health and quality of life by reducing the effect sizes for the associations between mental disorders and these health outcomes.
CONCLUSIONS: Mental disorders were associated with poor health outcomes in affected individuals. This study showed that PMH can mediate the relationships between mental disorders and health outcomes, and act as an underlying mechanism to improve overall health and quality of life in individuals with mental disorders. Findings thus highlight the significance of incorporating mental health promotion and interventions in clinical populations.

Entities:  

Keywords:  Anxiety; Mediation; Mental well-being; Mood disorders; Quality of life

Year:  2020        PMID: 32131837     DOI: 10.1186/s12955-020-01308-0

Source DB:  PubMed          Journal:  Health Qual Life Outcomes        ISSN: 1477-7525            Impact factor:   3.186


  5 in total

1.  [Impact of COVID-19 lockdown on self-perceived health in Chile by gender].

Authors:  Natalia López-Contreras; Tomás López-Jiménez; Olivia Janett Horna-Campos; Marinella Mazzei; María Sol Anigstein; Constanza Jacques-Aviñó
Journal:  Gac Sanit       Date:  2022-04-29       Impact factor: 2.479

2.  Perceptions of Factors Influencing Engagement With Health and Well-being Apps in the United Kingdom: Qualitative Interview Study.

Authors:  Dorothy Szinay; Olga Perski; Andy Jones; Tim Chadborn; Jamie Brown; Felix Naughton
Journal:  JMIR Mhealth Uhealth       Date:  2021-12-16       Impact factor: 4.773

3.  The Effects of a Digital Mental Health Intervention in Adults With Cardiovascular Disease Risk Factors: Analysis of Real-World User Data.

Authors:  Robert M Montgomery; Eliane M Boucher; Ryan D Honomichl; Tyler A Powell; Sharelle L Guyton; Samantha L Bernecker; Sarah Elizabeth Stoeckl; Acacia C Parks
Journal:  JMIR Cardio       Date:  2021-11-19

4.  Designing the Well-Being of Romanians by Achieving Mental Health with Digital Methods and Public Health Promotion.

Authors:  Gabriel Brătucu; Andra Ioana Maria Tudor; Adriana Veronica Litră; Eliza Nichifor; Ioana Bianca Chițu; Tamara-Oana Brătucu
Journal:  Int J Environ Res Public Health       Date:  2022-06-27       Impact factor: 4.614

5.  Confirmatory factor analysis and measurement invariance of the English, Mandarin, and Malay versions of the SF-12v2 within a representative sample of the multi-ethnic Singapore population.

Authors:  Jue Hua Lau; Edimansyah Abdin; Janhavi Ajit Vaingankar; Saleha Shafie; Rajeswari Sambasivam; Shazana Shahwan; Julian Thumboo; Siow Ann Chong; Mythily Subramaniam
Journal:  Health Qual Life Outcomes       Date:  2021-03-10       Impact factor: 3.186

  5 in total

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