Evidence map›Paper›PMID 37835142›Full record

ArticleInternational journal of environmental research and public health2023

Time Spent Jogging/Running and Biological Aging in 4458 U.S. Adults: An NHANES Investigation.

Christina M Blackmon, Larry A Tucker, Bruce W Bailey, Lance E Davidson

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Christina M BlackmonDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA.
Larry A TuckerDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0003-4591-882X
Bruce W BaileyDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA.
Lance E DavidsonDepartment of Exercise Sciences, College of Life Sciences, Brigham Young University, Provo, UT 84602, USA.
Brigham Young University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telomere length is a good index of cellular aging. Longer telomeres are predictive of longer life, and healthy lifestyles are associated with longer telomeres. This study explored the relationship between time spent jogging or running each week and leukocyte telomere length (LTL) in 4458 randomly selected U.S. adults. The association was studied using data collected by the National Health and Nutrition Examination Survey (NHANES), and a cross-sectional design. Total weekly jog/run time was calculated from survey responses. From the minute totals, three categories were formed: <10 min/week, 10-74 min/week, and ≥75 min/week. Adults in the third category met the U.S. guidelines. Data were analyzed using one-way ANOVA. Partial correlation was used to adjust for differences in potential mediating factors, including demographic and lifestyle/medical factors. In the total sample, after adjusting for all the potential covariates, mean LTL significantly differed across the three jog/run categories (F = 4.1,

Indexed as

JoggingRunningAdultCross-Sectional StudiesHumansLeukocytesNutrition Surveyscellular agingdisease riskfitnessjoggingphysical activitytelomeres

Identifiers

PMID37835142
PMCPMC10572212
OpenAlexW4387265059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.