Retirement—A Transition to a Healthier Lifestyle?

Ding, Ding; Grunseit, Anne; Chau, Josephine Y.; Vo, Kha; Byles, Julie; Bauman, Adrian

doi:10.1016/j.amepre.2016.01.019

Cited by 52 publications

(41 citation statements)

References 47 publications

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“…This finding may be due to older adults having more time to engage with interactive website components (over just reading text on a static page, which takes less time), which motivated them to increase their activity further. The older participants may have also had more time to be active compared to the younger participants [47]. Despite the effectiveness of the Web 2.0 intervention compared to the logbook intervention, particularly in older adults, there was no interaction for age and the Web 2.0 compared to the Web 1.0 intervention.…”

Section: Discussionmentioning

confidence: 88%

The effectiveness of a web 2.0 physical activity intervention in older adults – a randomised controlled trial

Alley

Kolt

Duncan

et al. 2018

Int J Behav Nutr Phys Act

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Background: Interactive web-based physical activity interventions using Web 2.0 features (e.g., social networking) have the potential to improve engagement and effectiveness compared to static Web 1.0 interventions. However, older adults may engage with Web 2.0 interventions differently than younger adults. The aims of this study were to determine whether an interaction between intervention (Web 2.0 and Web 1.0) and age group (<55y and ≥55y) exists for website usage and to determine whether an interaction between intervention (Web 2.0, Web 1.0 and logbook) and age group (<55y and ≥55y) exists for intervention effectiveness (changes in physical activity).

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Section: Discussionmentioning

confidence: 88%

The effectiveness of a web 2.0 physical activity intervention in older adults – a randomised controlled trial

Alley

Kolt

Duncan

et al. 2018

Int J Behav Nutr Phys Act

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“…Previous studies, typically using information from a single time‐point before and after retirement, have reported mixed findings, suggesting either an increase or no change in alcohol consumption 6, 7. This is unsurprising, as such a design cannot distinguish temporary change in consumption around the retirement transition from the long‐term trends in alcohol use at older ages.…”

Section: Discussionmentioning

confidence: 98%

“…The Health and Retirement Study in the United States found an association between retirement and increased alcohol consumption 5, a finding replicated partially in a Dutch study, where the increase was observed only among participants whose retirement was involuntary 6. In other investigations, a study of Australian employees found no changes in alcohol consumption in any retirement group 7, and findings in a Norwegian study were mixed 8. In addition, both increasing and decreasing alcohol use trajectories have been reported in a cohort of elderly men and women in the United States 9, 10.…”

Section: Introductionmentioning

confidence: 88%

“…A major limitation in most of the studies in this field of research is their reliance upon only two measurement points 6, 7, 8, making it impossible to distinguish short‐ and long‐term changes in alcohol consumption over time. A French GAZEL ( Gaz de France Electricité de France ) cohort assessed alcohol consumption annually from 5 years prior to retirement up to 5 years afterwards, and found the estimated prevalence of heavy drinking to be increased around the time of retirement, but that it decreased during the following 4 years 12.…”

Section: Introductionmentioning

confidence: 99%

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Trajectories of risky drinking around the time of statutory retirement: a longitudinal latent class analysis

et al. 2017

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Background and AimsLife transitions such as retirement may influence alcohol consumption, but only a few studies have described this using longitudinal data. We identified patterns and predictors of risky drinking around the time of retirement.DesignA cohort study assessing trajectories and predictors of risky drinking among employees entering statutory retirement between 2000 and 2011.Setting and ParticipantsA total of 5805 men and women from the Finnish Public Sector study who responded to questions on alcohol consumption one to three times prior to (w−3, w−2, w−1), and one to three times after (w+1, w+2, w+3) retirement.MeasurementsWe assessed trajectories of risky drinking (> 24 units per week among men, > 16 units among women, or an extreme drinking occasion during past year) from pre‐ to post‐retirement, as well as predictors of each alcohol consumption trajectory.FindingsThree trajectories were identified: sustained healthy drinking (81% of participants), temporary increase in risky drinking around retirement (12%) and slowly declining risky drinking after retirement (7%). The strongest pre‐retirement predictors for belonging to the group of temporary increase in risky drinking were current smoking [odds ratio (OR) = 3.90, 95% confidence interval (CI) = 2.70–5.64], male sex (OR = 2.77, 95% CI = 2.16–3.55), depression (OR = 1.44, 95% CI = 1.05–1.99) and work‐place in the metropolitan area (OR = 1.29, 95% CI = 1.00–1.66). Compared with the slowly declining risky drinking group, the temporary increase in risky drinking group was characterized by lower occupational status and education, and work‐place outside the metropolitan area.ConclusionsIn Finland, approximately 12% of people who reach retirement age experience a temporary increase in alcohol consumption to risky levels, while approximately 7% experience a slow decline in risky levels of alcohol consumption. Male gender, smoking, being depressed and working in a metropolitan area are associated with increased likelihood of increased alcohol consumption.

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“…The ‘lifestyle index’ score ranged from 0–9 and is the summed total of suboptimal lifestyle behaviours that an individual reported. A lifestyle index has been similarly used in previous epidemiological studies [7, 8, 32, 38–40], however, making conclusions on the health of a population based on this approach alone masks important information [32]. Consequently, concurrent examination of individual lifestyle behaviours is needed to provide further information [32, 41].…”

Section: Methodsmentioning

confidence: 99%

Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study

2017

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Little is known regarding the health and lifestyle behaviours of Australians of Lebanese ethnicity. The available evidence suggests that Australians of Lebanese ethnicity who were born in Lebanon reportedly have higher rates of cardiovascular disease-related and type 2 diabetes-related complications when compared with the wider Australian population. The aim of this study is to compare lifestyle behaviours of middle-aged to older adults of Lebanese ethnicity born in Lebanon, Australia, and elsewhere to those of Australian ethnicity. Participants were 37,419 Australians aged ≥45 years, from the baseline dataset of The 45 and Up Study which included 4 groups of interest: those of Australian ethnicity (n = 36,707) [Reference]; those of Lebanese ethnicity born in Lebanon (n = 346); 302 those of Lebanese ethnicity born in Australia (n = 302); and those of Lebanese ethnicity born elsewhere (n = 64). Multilevel logistic regression was used to examine the odds of those of Lebanese ethnicity reporting suboptimal lifestyle behaviours (insufficient physical activity, prolonged sitting, smoking, sleep duration, and various diet-related behaviours) relative to those of Australian ethnicity. Multilevel linear regression was used to examine the clustering of suboptimal lifestyle behaviours through a ‘lifestyle index’ score ranging from 0–9 (sum of all lifestyle behaviours for each subject). The lifestyle index score was lower among Lebanese-born (-0.36, 95% CI -0.51, -0.22, p<0.001) and Australian-born (-0.17, 95% CI -0.32, -0.02, p = 0.031) people of Lebanese ethnicity in comparison to those of Australian ethnicity. Those of Lebanese ethnicity born in Lebanon had higher odds of reporting suboptimal lifestyle behaviours for physical activity, smoking, and sleep duration, and lower odds of reporting optimal lifestyle behaviours for sitting time, fruit, processed meat, and alcohol consumption, when compared with those of Australian ethnicity. Differences in the individual lifestyle behaviours for those of Lebanese ethnicity born in Australia and elsewhere compared with those of Australian ethnicity were fewer. Lifestyle behaviours of those of Lebanese ethnicity vary by country of birth and a lower level of suboptimal lifestyle behaviour clustering was apparent among Lebanese-born and Australian-born middle-aged to older adults of Lebanese ethnicity.

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Retirement—A Transition to a Healthier Lifestyle?

Abstract: In a large population-based Australian cohort, retirement was associated with positive lifestyle changes. Health professionals and policymakers should consider developing special programs for retirees to capitalize on the healthy transitions through retirement.

Cited by 52 publications

References 47 publications

The effectiveness of a web 2.0 physical activity intervention in older adults – a randomised controlled trial

The effectiveness of a web 2.0 physical activity intervention in older adults – a randomised controlled trial

Trajectories of risky drinking around the time of statutory retirement: a longitudinal latent class analysis

Lifestyle behaviours of Lebanese-Australians: Cross-sectional findings from The 45 and Up Study

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