Mental ill-health among health and social care professionals: an analysis using administrative data

Objective Health and Social Care (HSC) workers are at high risk of job-related stress, burnout and mental ill-health. This study examines differences in self-reported mental health and psychotropic medication uptake across HSC occupational groups. Method Northern Ireland (NI) data linkage study of people working in the Health and Care sector, aged between twenty and sixty-four years, enumerated at the 2011 Northern Ireland Census and living in private households, and their uptake of prescribed psychotropic medications during 2011-2012 (using data derived from routine electronically captured information on prescriptions issued within the NHS and linked at an individual level using a NI-specific Health and Care key identifier). Comparing HSC workers with all those professionals not involved in HSC occupations, we used multinomial logistic regression to examine (a) self-reported chronic mental illness and (b) uptake of psychotropic medication by occupational groups adjusting for age, sex and socio-demographic circumstance. Results When compared against other professionals highest risks for mental health problems (associated with psychotropic prescription uptake) were associated with nursing/midwifery (OR = 1.25: 95{%}CI = 1.17-1.33; OR = 1.84: 1.58-2.15 for females and males respectively), welfare (OR = 1.34: 1.21-1.48; OR = 1.71: 1.44-2.03) and formal caregiving roles (OR = 1.42: 1.31-1.53; OR = 1.70: 1.50-1.91), again for females/males respectively). These higher risk professions record notable increases in psychotropic medication use. Conclusion Working in the Health and Social Care sector, irrespective of gender, may be more stressful than other jobs. Additionally, self-reported mental ill-health and psychotropic medication treatment both appear to be associated with social class inequity

Occupation type, family demands and mental health: analysis of linked administrative data.

While employment generally promotes positive health and wellbeing, some jobs may be less salutogenic than others. Few studies have examined mental health across a range of broadly defined occupation types using a large population sample. To examine the prevalence of mental health problems across a wide range of occupation types, and further examine the association of family demands, controlling for key social determinants and health-related factors. We used linked administrative data from 2011 NI Census returns; NI Properties data; and Enhanced Prescribing Data (EPD) 2011/12. We examined self-reported mental health problems and receipt of psychotropic medication among 553,925 workers aged 25 and 59 years. Self-reported chronic mental ill health was more prevalent among workers in lower paid occupations, while “public- facing” occupations had the highest rates of medication. In fully adjusted models, informal caregivers were less likely to report mental health problems but more likely to be in receipt of psychotropic medication, as were lone parents. The association of family demands also varied across occupational groupings. Future development of mental health at work plans should take cognisance of occupation specific mental health risk and wider family circumstances to support workers’ mental wellbeing most effectively.</p

Prevalence and Risk Factors of Psychiatric Symptoms Among Older People in England During the COVID‑19 Pandemic: a Latent Class Analysis

The COVID-19 pandemic has affected mental health and social connections. Older people may be disproportionately affected, placing them at increased risk for complex mental ill-health outcomes and quality of life undermined by anxiety and depression. Understanding gender differences in the determinants of anxiety and depression symptoms is crucial to policy and practice. This study aims to examine gender-specific symptom subtypes (and subthreshold symptoms) in an older English population sampled during the COVID period, in relation to their socio-demographic, social, and health circumstances. The sample comprises all individuals aged 50 years or older and included in the English Longitudinal Study of Ageing COVID-19 sub-study conducted during June–July 2020. Latent class analysis (LCA) defined indicative sample subgroups of clinically relevant anxiety and depression. Multinomial logistic regression assessed associations between socio-demographic characteristics, health and social care indicators, loneliness, and pre-pandemic mental ill-health. LCA derived three classes of self-reported depression and anxiety: for females (1) comorbid depression and anxiety (19.9% of the sample), (2) depression and subthreshold anxiety (31.6%), and (3) no or low symptoms of depression and anxiety (48.5%), and for males (1) comorbid depression and anxiety (12.8%), (2) subthreshold anxiety and depression (29.6%), and (3) no or low depression and anxiety (57.6%). Multinomial logistic regression analyses indicate that compared to those with low/no mental health symptoms, severity of pandemic-era mental ill-health was positively associated with pre-pandemic mental health levels, worry over finances, having access to essentials, loneliness, and access to health and social care services. Findings support the persistence of comorbidity of both depression and anxiety in the pandemic period. Results may inform government health strategy on interventions to prevent social isolation and mitigate the effects of the pandemic on deteriorating mental health in older people who may be more susceptible