Literature DB >> 29462269

Smoking Cessation and 16-year Trajectories of Functional Limitations Among Dutch Older Adults: Results from the Longitudinal Aging Study Amsterdam.

Erik J Timmermans1, Martijn Huisman2,3, Almar A L Kok2,3, Anton E Kunst1.   

Abstract

Background: This study examined whether smoking cessation in middle age and old age is associated with following a successful trajectory of functional limitations over time in Dutch older adults.
Methods: We used 16-year longitudinal data from 645 participants of the Longitudinal Aging Study Amsterdam. Three types of trajectories regarding functional limitations over time were defined: successful (high initial level of functioning and limited decline), late decline (high initial level of functioning and late onset of decline), and early decline (lower initial level of functioning and early onset of decline). Smoking cessation status was self-reported and categorized into: early quitters (stopped in middle age [35-40 years]), late quitters (already smoked in middle age and stopped in old age [≥55 years]), and continued smokers (smoked in middle age and still smoking in old age). Multinomial Logistic Regression Analyses were used to assess the association between smoking cessation and trajectory membership.
Results: The sample (55-85 years at baseline) consisted of 20.3% early quitters, 22.9% late quitters, and 56.8% continued smokers. After adjustment for confounders, the model showed that late quitters were less likely to follow an early decline trajectory instead of a successful trajectory compared to continued smokers (odds ratio [OR] = 0.48, 95% confidence interval [CI] = 0.24-0.97). After adjustment for clinically relevant level of depressive symptoms, this association remained substantial but was no longer statistically significant (OR = 0.50, 95% CI = 0.24-1.02). Conclusions: Although not statistically significant in the full model, the observed associations suggest that smoking cessation in old age may have an important impact on daily functioning in old age.

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Year:  2018        PMID: 29462269     DOI: 10.1093/gerona/gly009

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  3 in total

1.  Tobacco control policies and smoking among older adults: a longitudinal analysis of 10 European countries.

Authors:  Manuel Serrano-Alarcón; Anton E Kunst; Jizzo R Bosdriesz; Julian Perelman
Journal:  Addiction       Date:  2019-03-14       Impact factor: 6.526

2.  Smoking trajectory and cancer risk: A population-based cohort study.

Authors:  Minh N Luu; Minji Han; Tra T Bui; Phuong Thao T Tran; Min-Kyung Lim; Jin K Oh
Journal:  Tob Induc Dis       Date:  2022-08-26       Impact factor: 5.163

3.  Three-year trajectories in functional limitations and cognitive decline among Dutch 75+ year olds, using nine-month intervals.

Authors:  Maura Kyra Maria Gardeniers; Marjolein Irene Broese van Groenou; Erik Jan Meijboom; Martijn Huisman
Journal:  BMC Geriatr       Date:  2022-02-01       Impact factor: 3.921

  3 in total

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