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Social, behavioral, and biological factors, and sex differences in mortality

Overview of attention for article published in Demography, August 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
186 Dimensions

Readers on

mendeley
232 Mendeley
Title
Social, behavioral, and biological factors, and sex differences in mortality
Published in
Demography, August 2010
DOI 10.1353/dem.0.0119
Pubmed ID
Authors

Richard G. Rogers, Bethany G. Everett, Jarron M. Saint Onge, Patrick M. Krueger

Abstract

Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety offactors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex diferences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we controlfor women's lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women 's greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors-including indicators of inflammation and cardiovascular risk-also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence of risk factors difers by sex, the impact of those risk factors on mortality is similar for men and women.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 3%
Switzerland 2 <1%
India 1 <1%
Unknown 222 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 50 22%
Researcher 29 13%
Student > Doctoral Student 27 12%
Student > Bachelor 26 11%
Student > Master 25 11%
Other 30 13%
Unknown 45 19%
Readers by discipline Count As %
Social Sciences 82 35%
Medicine and Dentistry 31 13%
Psychology 11 5%
Agricultural and Biological Sciences 11 5%
Nursing and Health Professions 8 3%
Other 31 13%
Unknown 58 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 15 August 2022.
All research outputs
#2,532,932
of 26,017,215 outputs
Outputs from Demography
#665
of 2,036 outputs
Outputs of similar age
#9,362
of 108,405 outputs
Outputs of similar age from Demography
#6
of 10 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,036 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.8. This one has gotten more attention than average, scoring higher than 67% 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 108,405 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 89% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.