Evidence map›Paper›PMID 18799983›Full record

ArticleMedicine and science in sports and exercise2008

Relationship of running intensity to hypertension, hypercholesterolemia, and diabetes.

Paul T Williams

Open access · greenAbstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Gender and Exercise in Relation to Obesity in Greek Elderly Population.International journal of environmental research and public health · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. How do general practitioners in Denmark promote physical activity?Scandinavian journal of primary health care · 2012
    Article
  18. Physical activity in different domains and health-related quality of life: a population-based study.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2010
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Paul T WilliamsDonner Laboratory, Life Sciences Division, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. ptwilliams@lbl.gov
Williams (United States) · US

Funding

Gene-Specific Responses to Exercise in Discordant TwinsR01HL072110 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI WILLIAMS, PAUL T · 2004 to 2007
$2.8M
Long-Term Exercise Maintenance via Internet SupportR01DK066738 · NIDDK · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI WILLIAMS, PAUL T · 2003 to 2006
$2.2M
WEIGHT SET-POINT AND HDL CONCENTRATION IN RUNNERSR01HL045652 · NHLBI · UNIVERSITY OF CALIFORNIA BERKELEY · PI WILLIAMS, PAUL T · 1993 to 1996
–
WEIGHT SET-POINT AND HDL IN RUNNERS AND NONRUNNERSR55HL045652 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI WILLIAMS, PAUL T · 1992 to 1992
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NHLBI NIH HHS HL-072110NHLBI NIH HHS HL-45652NHLBI NIH HHS R01 HL072110NIDDK NIH HHS DK066738NIDDK NIH HHS R01 DK066738
6 · The paper itself

Abstract

purposeTo estimate the independent relationships of running intensity with antihypertensive, LDL-cholesterol-lowering, and antidiabetic medication use when adjusted for running volume (km x d(-1)).

methodsSelf-reported medication use was compared cross-sectionally to running pace (m x s(-1) during usual run) in 25,552 male and 29,148 female National Runners' Health Study participants.

resultsThe men ran a mean +/- SD of 5.2 +/- 3.1 km x d(-1) at 3.3 +/- 0.5 m x s(-1) (8.3 +/- 1.4 min x mile(-1)) and the women 4.7 +/- 2.9 km x wk(-1) at 3.0 +/- 0.4 m x s(-1) (9.2 +/- 1.8 min x mile(-1)). When adjusted for kilometers per day, each meter-per-second increment in intensity in men and women reduced the odds for antihypertensive drug use by 54% and 46%, respectively, reduced the odds for LDL-cholesterol-lowering medication use by 55% and 48%, respectively, and reduced the odds for antidiabetic medication use by 50% and 75%, respectively (all P < 0.0001). Compared with men who ran slower than 10 min x mile(-1), the odds for medication use in those who ran or exceeded a 7-min x mile(-1) pace were 72% less for antihypertensive, 78% less for LDL-cholesterol lowering, and 67% less for antidiabetic medications (the corresponding odds reductions in women were 61%, 64%, and 87%, respectively, for 8 min x mile(-1) or faster versus slower than 11 min x mile(-1)). Although usual running pace correlated significantly with a 10-km performance (male, r = 0.55; females, r = 0.49), usual pace remained significantly related to lower use of all three medications in men and antihypertension and antidiabetic medications in women when adjusted for a 10-km performance.

conclusionsAlthough these results do not prove causality, they show that exercise intensity is inversely associated with the prevalence of hypertension, hypercholesterolemia, and diabetes independent of exercise volume and cardiorespiratory fitness (10-km performance), suggesting that the more vigorous the exercise, the healthier the health benefits.

Indexed as

RunningAdultAnticholesteremic AgentsAntihypertensive AgentsCross-Sectional StudiesData CollectionDiabetes MellitusFemaleHumansHypercholesterolemiaHypertensionHypoglycemic AgentsLogistic ModelsMaleMiddle AgedPrevalenceAnticholesteremic AgentsAntihypertensive AgentsHypoglycemic Agents

Identifiers

PMID18799983
PMCPMC2803745
OpenAlexW2069462146

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.