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Published on: February 22, 2018
Socioeconomic gradients and mental health: implications for public health
Sarah Stewart-Brown1, Preshila Chandimali Samaraweera1, Frances Taggart1
1Sarah Stewart-Brown, PhD, FFPHM, FRCP, FRCPH, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry; Preshila Chandimali Samaraweera, MBBS, MSc, MD, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry and Ministry of Health in Sri Lanka; Frances Taggart, MS, PhD, Ngianga-Bakwin Kandala, PhD, Saverio Stranges, PhD, FFPH, Division of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Background:
Research on mental well-being is relatively new and studies of its determinants are rare.
Aims:
To investigate whether the socioeconomic correlates of mental well-being mirror those for mental illness.
Method:
Using logistic regression analyses, the independent odds ratios of high and low mental well-being, compared with middle-range mental well-being, were estimated for a number of sociodemographic variables known to be associated with mental illness from 13 983 participants in the 2010 and 2011 Health Surveys for England.
Results:
Independent odds ratios for low mental well-being were as expected from studies of mental illness with increased odds for the unemployed (OR = 1.46, 95% CI 1.01-2.10) and those aged 35-54 years (OR = 1.58, 95% CI 1.35-1.84) and reduced odds for the married (OR = 0.78, 95% CI 0.62-0.97). A linear trend was observed with education and equivalised income. Odds ratios for high mental well-being differed from those for low mental well-being with regard to age (55+ years: OR = 1.48, 95% CI 1.23-1.79); employment status where there was an association only with retirement (OR = 1.35, 95% CI 1.09-1.69); education where there was no association; and equivalised income for which the association was non-linear.
Conclusions:
Odds ratios for low mental well-being mirrored those for mental illness, but not those for high mental well-being, suggesting that the socioeconomic factors associated with positive mental health are different from those associated with mental illness.
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