Literature DB >> 2597430

Outrunning the risks: a behavioral risk profile of runners.

G W Heath1, J S Kendrick.   

Abstract

There is a need to assess better the relationship between physical activity and other health behaviors through population-based studies. Using the state-based Behavioral Risk Factor Surveillance System, we examined the behavioral risk factors of smoking, alcohol use, hypertension detection, obesity, seat-belt use, and physical activity in 2,412 runners and 26,538 nonrunners. Our analyses demonstrated marked differences in behavioral risk profiles between runners and nonrunners. Runners, regardless of the amount of running, were more likely to be nonsmokers, be of normal weight, be normotensive, and regularly use seat belts than were nonrunners of similar age and sex. Patterns of alcohol use were not different when comparing male runners with male nonrunners. However, female runners were more likely to drink and drive and to use alcohol on a chronic basis compared to their nonrunning counterparts. The "runner's lifestyle" may convey a certain level of protection from chronic disorders that are associated with these risk factors. However, further prospective studies are needed to examine in more detail the relationship of running to the risks and/or benefits for improved health.

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Year:  1989        PMID: 2597430

Source DB:  PubMed          Journal:  Am J Prev Med        ISSN: 0749-3797            Impact factor:   5.043


  4 in total

Review 1.  Coronary heart disease risk factors in the physically active. Impact of exercise.

Authors:  L B Andersen; M Hippe
Journal:  Sports Med       Date:  1996-10       Impact factor: 11.136

Review 2.  Lower extremity injuries in runners. Advances in prediction.

Authors:  C A Macera
Journal:  Sports Med       Date:  1992-01       Impact factor: 11.136

3.  Physical activity and its association with other lifestyle factors.

Authors:  G B Mensink; N Loose; C M Oomen
Journal:  Eur J Epidemiol       Date:  1997-10       Impact factor: 8.082

4.  Distance walked and run as improved metrics over time-based energy estimation in epidemiological studies and prevention; evidence from medication use.

Authors:  Paul T Williams
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

  4 in total

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