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Cross-sectional and longitudinal factors influencing physical activity of 65 to 75-year-olds: a pan European cohort study based on the survey of health, ageing and retirement in Europe (SHARE)

Overview of attention for article published in BMC Geriatrics, April 2018
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2 tweeters

Citations

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5 Dimensions

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38 Mendeley
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Title
Cross-sectional and longitudinal factors influencing physical activity of 65 to 75-year-olds: a pan European cohort study based on the survey of health, ageing and retirement in Europe (SHARE)
Published in
BMC Geriatrics, April 2018
DOI 10.1186/s12877-018-0781-8
Pubmed ID
Authors

Lena Lübs, Jenny Peplies, Carina Drell, Karin Bammann

Abstract

The promotion of physical activity (PA) plays a major role for healthy ageing even in older age. There is a lack of cross-sectional and longitudinal studies explicitly dealing with barriers and drivers to PA in older adults. Therefore the aims of this study are a) to determine the prevalence of insufficient physical activity (IPA) in 65 to 75-year-olds in Europe and to identify factors associated with IPA in cross-section and b) to identify longitudinal risk factors for IPA in prior active persons. This study is using data of the Survey of Health, Ageing and Retirement in Europe (SHARE). SHARE is a cross-national panel database including individual data of the non-institutionalised population aged 50+ from 27 European countries. For the present paper, we included a cohort that participated in all first four waves of SHARE (2004-2011) aged 65-to-75-years at wave four (male n = 1761, female n = 2085) from 10 European countries. To identify cross-sectional and longitudinal associations, we calculated prevalence odds ratios and hazard ratios with 95% confidence intervals. The prevalence of IPA in 65-75-year-olds varied widely between countries, ranging from 55.4% to 83.3% in women and from 46.6% to 73.7% in men. IPA was associated with several intrapersonal factors and strength of association was similar for men and women for almost all investigated factors. Statistically significant associated with IPA were socioeconomic factors as low educational level (own and parental) and financial difficulties (male: POR: 1.60: 95%-CI: 1.26-2.03; female: POR: 1.58; 95%-CI: 1.26-1.97) and health-related factors as e.g. number of chronic diseases (male: POR: 1.34: 95%-CI: 1.23-1.45; female: POR: 1.31; 95%-CI: 1.21-1.42). Interpersonal only the size of social network was associated with IPA (male and female: POR: 0.88, 95%-CI: 0.81-0.95). Longitudinally in a fully adjusted model, only grip strength (HR: 0.99; CI-95%: 0.98-0.99) and BMI (HR: 1.02; CI-95%: 1.00-1.04) were statistically significant risk factors for IPA. PA promotion programs for older adults should incorporate the heterogeneity of health status and physical condition that can typically occur in this age group.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 29%
Student > Master 10 26%
Researcher 5 13%
Student > Doctoral Student 3 8%
Student > Bachelor 1 3%
Other 1 3%
Unknown 7 18%
Readers by discipline Count As %
Nursing and Health Professions 7 18%
Medicine and Dentistry 4 11%
Sports and Recreations 4 11%
Psychology 3 8%
Economics, Econometrics and Finance 2 5%
Other 7 18%
Unknown 11 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 09 May 2018.
All research outputs
#7,705,709
of 12,913,752 outputs
Outputs from BMC Geriatrics
#998
of 1,330 outputs
Outputs of similar age
#147,295
of 269,361 outputs
Outputs of similar age from BMC Geriatrics
#1
of 1 outputs
Altmetric has tracked 12,913,752 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,330 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 269,361 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them