Dataset Information

Transition to retirement impact on smoking habit: results from a longitudinal analysis within the Survey of Health, Ageing and Retirement in Europe (SHARE) project.

ABSTRACT:

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.

SUBMITTER: Bertuccio P

PROVIDER: S-EPMC10149464 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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Publications

Transition to retirement impact on smoking habit: results from a longitudinal analysis within the Survey of Health, Ageing and Retirement in Europe (SHARE) project.

Bertuccio Paola P Vigezzi Giacomo Pietro GP Mosconi Giansanto G Gallus Silvano S Odone Anna A

Aging clinical and experimental research 20230417 5

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 37067672

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Project description:AimsDepression is among the main contributors to older adults' mental health burden. Retirement, one of the major life transitions, has been claimed to influence mental health substantially. Following up on a previous meta-analysis, the study aims to assess from a longitudinal perspective short- and long-term impacts of transitioning to retirement on depression risk and suicidality in older adults across Europe.MethodsWe conducted a longitudinal study using data from the Survey of Health, Ageing and Retirement in Europe (SHARE), collected between 2004 and 2020 in 27 European countries plus Israel. To estimate relative risks (RR) and 95% confidence intervals (95% CIs) for depression and suicidality at seven time intervals before and after retirement, we fitted adjusted generalized estimating equation models for repeated measures.ResultsWe included 8,998 individuals employed at baseline and retired at follow-up (median follow-up time: 9 years; maximum: 16 years). Compared to the year of retirement, the risk of depression was 11% lower in the following year (RR 0.89; 95% CI 0.81-0.99), 9% lower after 2 years (RR 0.91; 95% CI 0.82-1.00) and after 3 years (RR 0.91; 95% CI 0.81-1.01). Significant estimates remained among females, married individuals, those with an intermediate or higher level of education, former manual workers and those who retired at or before their country's median retirement age. A significant increase in depressive symptoms emerged from the tenth year after retirement among former non-manual workers (RR 1.21; 95% CI 1.05-1.40) and late retirees (RR 1.37; 95% CI 1.16-1.63). No heterogeneity emerged among strata. As for suicidality, we reported an increase in risk only 5 years or more after retirement, namely +30% 5-9 years after retirement (RR 1.30; 95% CI 1.04-1.64) and +47% 10 or more years after retirement (RR 1.47; 95% CI 1.09-1.98). Sensitivity analyses excluding subjects who reported a diagnosis of depression over the study period and those retirees who declared to receive a disability pension confirmed the results obtained in the overall analysis.ConclusionsLongitudinal adjusted data suggest an independent effect of retiring associated with a reduction in depression and suicidality risk in the short run, with its effect decreasing in the long run. Such trends are particularly evident among selected subgroups of elderly populations. If greater flexibility in pensionable age may help prevent depression late in life, the transition to retirement is to be accompanied by targeted health promotion interventions. In an ageing society, welfare policies should be evaluated, considering their long-term impact on mental health.

Project description:BackgroundA frailty paradigm would be useful in primary care to identify older people at risk, but appropriate metrics at that level are lacking. We created and validated a simple instrument for frailty screening in Europeans aged ?50. Our study is based on the first wave of the Survey of Health, Ageing and Retirement in Europe (SHARE, http://www.share-project.org), a large population-based survey conducted in 2004-2005 in twelve European countries.MethodsSubjectsSHARE Wave 1 respondents (17,304 females and 13,811 males).Measuresfive SHARE variables approximating Fried's frailty definition. Analyses (for each gender): 1) estimation of a discreet factor (DFactor) model based on the frailty variables using LatentGOLD. A single DFactor with three ordered levels or latent classes (i.e. non-frail, pre-frail and frail) was modelled; 2) the latent classes were characterised against a biopsychosocial range of Wave 1 variables; 3) the prospective mortality risk (unadjusted and age-adjusted) for each frailty class was established on those subjects with known mortality status at Wave 2 (2007-2008) (11,384 females and 9,163 males); 4) two web-based calculators were created for easy retrieval of a subject's frailty class given any five measurements.ResultsFemales: the DFactor model included 15,578 cases (standard R2 = 0.61). All five frailty indicators discriminated well (p < 0.001) between the three classes: non-frail (N = 10,420; 66.9%), pre-frail (N = 4,025; 25.8%), and frail (N = 1,133; 7.3%). Relative to the non-frail class, the age-adjusted Odds Ratio (with 95% Confidence Interval) for mortality at Wave 2 was 2.1 (1.4 - 3.0) in the pre-frail and 4.8 (3.1 - 7.4) in the frail. Males: 12,783 cases (standard R2 = 0.61, all frailty indicators had p < 0.001): non-frail (N = 10,517; 82.3%), pre-frail (N = 1,871; 14.6%), and frail (N = 395; 3.1%); age-adjusted OR (95% CI) for mortality: 3.0 (2.3 - 4.0) in the pre-frail, 6.9 (4.7 - 10.2) in the frail.ConclusionsThe SHARE Frailty Instrument has sufficient construct and predictive validity, and is readily and freely accessible via web calculators. To our knowledge, SHARE-FI represents the first European research effort towards a common frailty language at the community level.

Project description:BackgroundActive and Healthy Ageing (AHA) is the process of optimizing opportunities related to health, participation, and safety in order to improve quality of life. The approach most often used to measure AHA is Rowe and Kahn's Satisfactory Ageing model. Nonetheless, this model has limitations. One of the strategic objectives of the WHO Global Strategy and Action Plan (2016) is to improve Healthy Ageing measurement. Our objectives were to compare two models of assessing AHA and further compare the results by country and sociodemographic variables.MethodsThis was a cross-sectional, observational analysis of a representative sample of the general population aged 50 years and older in Europe. The data analysed were obtained by the Study of Health, Ageing and Retirement in Europe (SHARE). The dependent variable was AHA and its dimensions, measured using the Rowe and Kahn AHA model (AHA-B) and the authors' model based on the WHO definition (AHA-BPS). A descriptive analysis and multivariate models of binary logistical regression were developed.ResultsThe sample consisted of 52,641 participants (mean age 65.24 years [SD = 10.18; Range = 50-104], 53.2% women). Healthy Ageing prevalence in the AHA-B model was 23.5% (95%CI = 23.1%-23.9%). In the AHA-BPS model, this prevalence was 38.9%. In both models, significant variations were observed between countries, and were distributed along a north-western to south-eastern gradient. The sociodemographic variables associated with the absence of AHA were advanced age, female sex, death of spouse, low educational level, lack of employment, and low financial status. Comparing the two models, the strength of association between absence of AHA and advanced age (85 years and older) was four times greater in the AHA-B model.ConclusionsOur results showing differences between these two models provide evidence that the AHA-BPS model does not penalize older age and is more likely to characterize AHA from a health promotion perspective.

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Dataset Information

Transition to retirement impact on smoking habit: results from a longitudinal analysis within the Survey of Health, Ageing and Retirement in Europe (SHARE) project.

Background

Methods

Results

Conclusion

Publications

Transition to retirement impact on smoking habit: results from a longitudinal analysis within the Survey of Health, Ageing and Retirement in Europe (SHARE) project.

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