OBJECTIVE: To investigate relationship of mental ill health to absence from work in different occupational classifications. METHOD: Examined sickness absence, mental health (GHQ-12), physical health, job characteristics, and personal characteristics in 18 waves of the British Household Panel Survey. RESULTS: Overall sickness absence rate was 1.68%. Increased absence was associated with age greater than 45 years, female gender, lower occupational classification, and public-sector employers. Decreased absence was associated with part-time working. Scoring 4 or more on the General Health Questionnaire 12-item version (GHQ-12 caseness) was strongly associated with sickness absence. Public-sector employers had highest rates of sickness absence. GHQ-12 caseness had largest impact on absence in the public and nonprofit sectors, whereas physical health problems impacted more in the private sector. CONCLUSIONS: GHQ-12 caseness is strongly associated with increased absence in all classifications of occupations. Differences between sectors require further investigation.
OBJECTIVE: To investigate relationship of mental ill health to absence from work in different occupational classifications. METHOD: Examined sickness absence, mental health (GHQ-12), physical health, job characteristics, and personal characteristics in 18 waves of the British Household Panel Survey. RESULTS: Overall sickness absence rate was 1.68%. Increased absence was associated with age greater than 45 years, female gender, lower occupational classification, and public-sector employers. Decreased absence was associated with part-time working. Scoring 4 or more on the General Health Questionnaire 12-item version (GHQ-12 caseness) was strongly associated with sickness absence. Public-sector employers had highest rates of sickness absence. GHQ-12 caseness had largest impact on absence in the public and nonprofit sectors, whereas physical health problems impacted more in the private sector. CONCLUSIONS: GHQ-12 caseness is strongly associated with increased absence in all classifications of occupations. Differences between sectors require further investigation.
Authors: Fiona Lobban; Nadia Akers; Duncan Appelbe; Rossella Iraci Capuccinello; Lesley Chapman; Lizzi Collinge; Susanna Dodd; Sue Flowers; Bruce Hollingsworth; Mahsa Honary; Sonia Johnson; Steven H Jones; Ceu Mateus; Barbara Mezes; Elizabeth Murray; Katerina Panagaki; Naomi Rainford; Heather Robinson; Anna Rosala-Hallas; William Sellwood; Andrew Walker; Paula R Williamson Journal: Health Technol Assess Date: 2020-06 Impact factor: 4.014
Authors: Fiona Lobban; Heather Robinson; Duncan Appelbe; Johanna Barraclough; Emma Bedson; Lizzi Collinge; Susanna Dodd; Sue Flowers; Mahsa Honary; Sonia Johnson; Ceu Mateus; Barbara Mezes; Valerie Minns; Elizabeth Murray; Andrew Walker; Paula Williamson; Catherine Wintermeyer; Steven Jones Journal: BMJ Open Date: 2017-07-18 Impact factor: 2.692