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Modifiable causes of premature death in middle-age in Western Europe: results from the EPIC cohort study

Overview of attention for article published in BMC Medicine, June 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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12 news outlets
blogs
2 blogs
policy
1 policy source
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21 X users
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6 Facebook pages

Citations

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53 Dimensions

Readers on

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143 Mendeley
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Title
Modifiable causes of premature death in middle-age in Western Europe: results from the EPIC cohort study
Published in
BMC Medicine, June 2016
DOI 10.1186/s12916-016-0630-6
Pubmed ID
Authors

David C. Muller, Neil Murphy, Mattias Johansson, Pietro Ferrari, Konstantinos K. Tsilidis, Marie-Christine Boutron-Ruault, Francoise Clavel, Laureen Dartois, Kuanrong Li, Rudolf Kaaks, Cornelia Weikert, Manuela Bergmann, Heiner Boeing, Anne Tjønneland, Kim Overvad, M. Luisa Redondo, Antonio Agudo, Elena Molina-Portillo, Jone M. Altzibar, Lluís Cirera, Eva Ardanaz, Kay-Tee Khaw, Nicholas J. Wareham, Timothy J. Key, Ruth C. Travis, Christina Bamia, Philippos Orfanos, Antonia Trichopoulou, Domenico Palli, Valeria Pala, Rosario Tumino, Paolo Vineis, Salvatore Panico, H. Bas Bueno-de-Mesquita, W. M. Monique Verschuren, Ellen A. Struijk, Petra H. Peeters, Gunnar Engström, Olle Melander, Malin Sund, Elisabete Weiderpass, Guri Skeie, Eiliv Lund, Teresa Norat, Marc Gunter, Elio Riboli, Paul Brennan

Abstract

Life expectancy is increasing in Europe, yet a substantial proportion of adults still die prematurely before the age of 70 years. We sought to estimate the joint and relative contributions of tobacco smoking, hypertension, obesity, physical inactivity, alcohol and poor diet towards risk of premature death. We analysed data from 264,906 European adults from the EPIC prospective cohort study, aged between 40 and 70 years at the time of recruitment. Flexible parametric survival models were used to model risk of death conditional on risk factors, and survival functions and attributable fractions (AF) for deaths prior to age 70 years were calculated based on the fitted models. We identified 11,930 deaths which occurred before the age of 70. The AF for premature mortality for smoking was 31 % (95 % confidence interval (CI), 31-32 %) and 14 % (95 % CI, 12-16 %) for poor diet. Important contributions were also observed for overweight and obesity measured by waist-hip ratio (10 %; 95 % CI, 8-12 %) and high blood pressure (9 %; 95 % CI, 7-11 %). AFs for physical inactivity and excessive alcohol intake were 7 % and 4 %, respectively. Collectively, the AF for all six risk factors was 57 % (95 % CI, 55-59 %), being 35 % (95 % CI, 32-37 %) among never smokers and 74 % (95 % CI, 73-75 %) among current smokers. While smoking remains the predominant risk factor for premature death in Europe, poor diet, overweight and obesity, hypertension, physical inactivity, and excessive alcohol consumption also contribute substantially. Any attempt to minimise premature deaths will ultimately require all six factors to be addressed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 22%
Student > Master 19 13%
Student > Ph. D. Student 13 9%
Student > Bachelor 12 8%
Student > Doctoral Student 7 5%
Other 26 18%
Unknown 34 24%
Readers by discipline Count As %
Medicine and Dentistry 44 31%
Nursing and Health Professions 12 8%
Social Sciences 7 5%
Agricultural and Biological Sciences 7 5%
Psychology 5 3%
Other 24 17%
Unknown 44 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 128. 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 06 January 2022.
All research outputs
#287,740
of 23,577,761 outputs
Outputs from BMC Medicine
#242
of 3,569 outputs
Outputs of similar age
#6,276
of 354,888 outputs
Outputs of similar age from BMC Medicine
#3
of 42 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,569 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.5. This one has done particularly well, scoring higher than 93% 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 354,888 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.