A cross-sectional study of the relationships between ethnicity and occupational classes with mental wellbeing in the UK

• 作者: Aliza Ayaz
• 来源期刊: TMR生命研究
• 学科: 数学
• 关键词: Mental health Workplace health ETHNICITY Employee wellbeing Health inequalities ENGLAND Health Survey for England
• 年，卷（期）: 2021,（1）
• 页码范围: 36-48
• 页数: 13页
• 分类号: O17

摘要

Various aspects of a job (e.g. contract clauses, promotion, wages, job security and workplacehierarchy) are becoming increasingly complex and have some effect on an employee’s wellbeing. Simultaneously,research about an increase in mental health issues due to workplace obstacles for ethnic minorities is amassing butthere is a lack of policymaking to tackle this via accessible mental health support at the workplace. My study aimsto assess the effect of occupational class and ethnicity on wellbeing in the UK working population. Methods: Thestudy assessed 3,374 adult employees who participated in the Health Survey for England from 2014–2016 and werecategorised in 1/3 National Statistics Socio-economic Classification groups. The Warwick-Edinburgh MentalWellbeing Scale was used as a measure of mental wellbeing. I explored the relationship between occupational classand wellbeing score using linear regression, accounting for demographic and socioeconomic covariates: age, sex,income and education. My sample’s ethnicity breakdown was White: 3,051;Black: 83;Asian: 180;Mixed: 39;Other:21 adults. Results: Of the sample, 46.8% of adults belonged to managerial and professional occupations and 90.4%were of White ethnicity. Managerial and professional occupations had a higher mean wellbeing score (48.54;P <0.001) than routine and manual occupations (47.69;P < 0.05). Multiple ethnic background showed the highest meanwellbeing score (52.82;P < 0.05), compared to White adults with the lowest wellbeing score (48.57;P << 0.001).Unlike occupational class which had a small effect size (partial eta-squared = 0.02), when holding education, income,age and sex constant, ethnicity had a statistically significant association with wellbeing. Conclusion: White ethnicityand routine and manual occupations are high-risk groups for poor mental wellbeing. The impact of ethnicity andoccupational class on wellbeing scores remained after accounting for socioeconomic and demographic factors.