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O34-4 Frailty, pre-frailty and employment outcomes in the health and employment after fifty (HEAF) study
  1. Keith Palmer1,
  2. Stefania D‘Angelo1,
  3. E Clare Harris1,
  4. Cathy Linaker1,
  5. Catharine R Gale1,2,
  6. Holly Syddall1,
  7. Tjeerd Van Staa3,4,
  8. Cyrus Cooper1,
  9. Avan Aihie Sayer5,6,
  10. David Coggon1,
  11. Karen Walker-Bone1
  1. 1MRC Lifecourse Epidemiology Unit and Arthritis Research UK/MRC Centre for Musculoskeletal Health and Work, University of Southampton, Southampton, UK
  2. 2Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, UK
  3. 3Farr Institute, University of Manchester, Manchester, UK
  4. 4Utrecht Institute for Pharmaceutical Sciences, Utrecht, Netherlands
  5. 5NIHR Newcastle Biomedical Research Centre, Newcastle University, Newcastle, UK
  6. 6Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK

Abstract

Background Demographic changes in developed countries are requiring people to work longer. No previous studies, however, have focussed on whether the “frailty” syndrome (which predicts falls, hospitalisations, institutional care, dependency, and mortality in the elderly) causes difficulties in employment. To provide information, we assessed relationships in a population-based cohort of 50-64 year-olds from the HEAF study.

Methods Subjects, who were recruited from 24 English general practices, completed a baseline postal questionnaire on pre-frailty and frailty and several work outcomes, including health-related job loss (HRJL), prolonged sickness absence (>20 days vs. less, past 12 months), having to cut down substantially at work and difficulty coping with work’s demands. Associations were assessed using logistic regression. Also, we calculated population attributable fractions (PAFs), representing the proportion of the population burden that is potentially preventable, assuming that risk factors are causal and can be eliminated.

Results In all, 3.9% of 8,095 eligible respondents were classed as frail and 31.6% as pre-frail. Three-quarters of the former were not in work, while 60% had left their last job on health grounds (odds ratio (OR) for HRJL, vs. non-frail subjects, 30.0 (95% Confidence Interval 23.0–39.2). Among those in work, ORs for prolonged sickness absence, cutting down substantially at work and struggling with work’s physical demands were 10.7 (95% CI: 6.5–17.7), 17.2 (95% CI: 10.5–28.4) and 14.8 (95% CI: 8.2–26.6) respectively. The PAF for HRJL when any frailty marker was present was 51.8% and that for prolonged sickness absence was 32.5%. Associations were strongest with slow reported walking speed. Several associations were stronger in manual workers than in managers.

Conclusions Frailty and pre-frailty are not uncommon in 50–64 year-olds. Both are very strongly linked with adverse and economically important employment outcomes. In particular, features of frailty may contribute importantly to HRJL and represent an important target for prevention.

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