Transition to Retirement Impact on Smoking Habit: Results from a Longitudinal Analysis Within the Survey of Health, Ageing and Retirement in Europe (SHARE) Project
Overview
Affiliations
Background: In an ageing society, retirement impacts on behavioural risk factors and health outcomes should be carefully assessed. Scant evidence exists from longitudinal studies on the short- and long-term consequences of the transition to retirement on smoking habit.
Methods: We conducted a longitudinal study based on the Survey of Health, Ageing and Retirement in Europe (SHARE) data from 27 European countries plus Israel collected in 2004-2020. To estimate relative risks (RR) and corresponding 95% confidence intervals (CI) for smoking status and intensity at seven time periods before and after retirement, we fitted adjusted generalised estimating equation (GEE) models for repeated measures.
Results: We selected a cohort of 8998 individuals employed at baseline and retired at follow-up (median follow-up time: 9 years; maximum: 16 years). As compared to the year of retirement, the RR of smoking was 1.59 (95% CI 1.44-1.76) at 10 years or more before retirement, 1.35 (95% CI 1.25-1.46) from 5 to 9 years before retirement, and 1.18 (95% CI 1.10-1.27) from 1 to 4 years before retirement. Smoking steadily decreased after retirement, being 0.94 (95% CI 0.87-1.01) from 1 to 4 years after retirement, 0.76 (95% CI 0.69-0.84) from 5 to 9 years, and 0.58 (95% CI 0.46-0.74) 10 years or more after retirement. In smokers, the estimated number of cigarettes smoked/day decreased from about 27 cigarettes/day at 10 years or more before retirement to 9 cigarettes/day at 10 years or more after retirement (p trend < 0.001).
Conclusion: Longitudinal data suggest that lifestyles might favourably change with retirement. Further studies are needed to direct healthy ageing promotion policies better.
The impact of retirement on blood pressure: evidence from a nationwide survey in China.
Mi J, Han X, Cao M, Cheng H, Pan Z, Guo J BMC Public Health. 2024; 24(1):1565.
PMID: 38862990 PMC: 11165730. DOI: 10.1186/s12889-024-18422-z.
Mosconi G, Vigezzi G, Bertuccio P, Amerio A, Odone A Epidemiol Psychiatr Sci. 2023; 32:e34.
PMID: 37165784 PMC: 10227535. DOI: 10.1017/S2045796023000239.