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Healthier lifestyles after retirement in Europe? Evidence from SHARE

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, September 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users
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1 Facebook page

Citations

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54 Dimensions

Readers on

mendeley
103 Mendeley
Title
Healthier lifestyles after retirement in Europe? Evidence from SHARE
Published in
HEPAC Health Economics in Prevention and Care, September 2016
DOI 10.1007/s10198-016-0828-8
Pubmed ID
Authors

Martina Celidoni, Vincenzo Rebba

Abstract

This paper investigates changes in health behaviours upon retirement, using data drawn from the Survey of Health Ageing and Retirement in Europe. By exploiting changes in eligibility rules for early and statutory retirement, we identify the causal effect of retiring from work on smoking, alcohol drinking, engagement in physical activity and visits to the general practitioner or specialist. We provide evidence about individual heterogeneous effects related to gender, education, net wealth, early-life conditions and job characteristics. Our main results--obtained using fixed-effect two-stage least squares--show that changes in health behaviours occur upon retirement and may be a key mechanism through which the latter affects health. In particular, the probability of not practicing any physical activity decreases significantly after retirement, and this effect is stronger for individuals with higher education. We also find that different frameworks of European health care systems (i.e. countries with or without a gate-keeping system to regulate the access to specialist services) matter in shaping individuals' health behaviours after retirement. Our findings provide important information for the design of policies aiming to promote healthy lifestyles in later life, by identifying those who are potential target individuals and which factors may affect their behaviour. Our results also suggest the importance of policies promoting healthy lifestyles well before the end of the working life in order to anticipate the benefits deriving from individuals' health investments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 103 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 15%
Student > Ph. D. Student 11 11%
Student > Bachelor 7 7%
Student > Master 6 6%
Student > Doctoral Student 5 5%
Other 17 17%
Unknown 42 41%
Readers by discipline Count As %
Medicine and Dentistry 16 16%
Nursing and Health Professions 10 10%
Economics, Econometrics and Finance 7 7%
Social Sciences 7 7%
Psychology 5 5%
Other 10 10%
Unknown 48 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 September 2017.
All research outputs
#8,406,430
of 25,728,855 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#567
of 1,315 outputs
Outputs of similar age
#117,712
of 331,752 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#13
of 24 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,315 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 55% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 331,752 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.