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Association Between Lifestyle Factors and the Incidence of Multimorbidity in an Older English Population

Overview of attention for article published in Journals of Gerontology Series A: Biological Sciences & Medical Sciences, July 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

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Title
Association Between Lifestyle Factors and the Incidence of Multimorbidity in an Older English Population
Published in
Journals of Gerontology Series A: Biological Sciences & Medical Sciences, July 2016
DOI 10.1093/gerona/glw146
Pubmed ID
Authors

Nafeesa N. Dhalwani, Francesco Zaccardi, Gary O’Donovan, Patrice Carter, Mark Hamer, Thomas Yates, Melanie Davies, Kamlesh Khunti

Abstract

Evidence on the role of lifestyle factors in relation to multimorbidity, especially in elderly populations, is scarce. We assessed the association between five lifestyle factors and incident multimorbidity (presence of ≥2 chronic conditions) in an English cohort aged ≥50 years. We used data from waves 4, 5, and 6 of the English Longitudinal Study of Ageing. Data on smoking, alcohol consumption, physical activity, fruit and vegetable consumption, and body mass index were extracted and combined to generate a sum of unhealthy lifestyle factors for each individual. We examined whether these lifestyle factors individually or in combination predicted multimorbidity during the subsequent wave. We used marginal structural Cox proportional hazard models, adjusted for both time-constant and time-varying factors. A total of 5,476 participants contributed 232,749 person-months of follow-up during which 1,156 cases of incident multimorbidity were recorded. Physical inactivity increased the risk of multimorbidity by 33% (adjusted hazard ratio [aHR]: 1.33, 95% confidence interval [CI]: 1.03-1.73). The risk was about two to three times higher when inactivity was combined with obesity (aHR: 2.87, 95% CI: 1.55-5.31) or smoking (aHR: 2.35, 95% CI: 1.36-4.08) and about four times when combined with both (aHR: 3.98, 95% CI: 1.02-17.00). Any combination of 2, 3, and 4 or more unhealthy lifestyle factors significantly increased the multimorbidity hazard, compared with none, from 42% to 116%. This study provides evidence of a temporal association between combinations of different unhealthy lifestyle factors with multimorbidity. Population level interventions should include reinforcing positive lifestyle changes in the population to reduce the risk of developing multimorbidity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 138 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 17%
Student > Master 23 17%
Researcher 18 13%
Student > Doctoral Student 11 8%
Student > Bachelor 6 4%
Other 15 11%
Unknown 42 30%
Readers by discipline Count As %
Medicine and Dentistry 38 28%
Nursing and Health Professions 11 8%
Social Sciences 9 7%
Agricultural and Biological Sciences 6 4%
Psychology 5 4%
Other 22 16%
Unknown 47 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 October 2018.
All research outputs
#3,390,067
of 25,377,790 outputs
Outputs from Journals of Gerontology Series A: Biological Sciences & Medical Sciences
#1,151
of 3,967 outputs
Outputs of similar age
#59,408
of 380,141 outputs
Outputs of similar age from Journals of Gerontology Series A: Biological Sciences & Medical Sciences
#29
of 68 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.2. This one has gotten more attention than average, scoring higher than 70% 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 380,141 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 68 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.