Evidence map›Paper›PMID 28538259›Full record

ArticleMedicine and science in sports and exercise2017

Cardiometabolic Correlates of Physical Activity and Sedentary Patterns in U.S. Youth.

Gabrielle P Jenkins, Kelly R Evenson, Amy H Herring, Derek Hales, June Stevens

Open access · greenAbstract read
In one paragraph

Article in Medicine and science in sports and exercise, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

  1. Pooled it
  2. Review
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  4. Cardio-metabolic risk among healthcare providers: A latent profile study.Journal of cardiovascular and thoracic research · 2025
    Article
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  7. Cardiovascular Aging.Reviews in cardiovascular medicine · 2025
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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

5 authors at 1 institution in 1 country.

Gabrielle P Jenkins1Department of Epidemiology, Gillings School of Global Public Health at the University of North Carolina at Chapel Hill, Chapel Hill, NC; 2Department of Biostatistics, Gillings School of Global Public Health at the University of North Carolina at Chapel Hill, Chapel Hill, NC; 3Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC; and 4Department of Nutrition, Gillings School of Global Public Health at the University of North Carolina at Chapel Hill, Chapel Hill, NC.
Kelly R Evenson
Amy H Herring
Derek Hales
June Stevens
University of North Carolina at Chapel Hill · US

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Childhood Obesity Prevention and Treatment Research Coordinating UnitU01HL103561 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI STEVENS, JUNE · 2010 to 2017
$7.0M
National Associations of Objectively Measured Physical Activity and MortalityR21HL115385 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI EVENSON, KELLY R. · 2012 to 2013
$393k
NHLBI NIH HHS R21 HL115385NHLBI NIH HHS U01 HL103561NICHD NIH HHS P2C HD050924
6 · The paper itself

Abstract

introductionDaily or weekly averages of physical activity and sedentary behavior could mask patterns of behavior throughout the week that independently affect cardiovascular health. We examined associations between day-to-day physical activity and sedentary behavior latent classes and cardiovascular disease (CVD) risk factors in U.S. youth.

methodsData were from 3984 youth ages 6-17 yr from the National Health and Nutrition Examination Survey (2003-2006) and from previously published accelerometry latent classes characterizing average counts per minute and percent of wear time in moderate-to-vigorous physical activity (MVPA) and sedentary behavior. Multiple linear regression was used to examine associations of the classes with waist circumference, systolic and diastolic blood pressure, HDL-C and LDL-C, triglycerides, glucose, and insulin.

resultsParticipants spent 50.4% of the day in sedentary behavior and 5.3% of the day in moderate-to-vigorous physical activity. Average counts per minute were 516.4 for a 7-d period. Significant differences in CVD risk factors were between extreme classes with few differences observed in intermediate classes. Youth in latent class 4 (highest average counts per minute) had lower systolic blood pressure (-4.11 mm Hg, 95% confidence interval [CI] = -7.74 to -0.55), lower glucose (-4.25 mg·dL, 95% CI = -7.84 to -0.66]), and lower insulin (-6.83 μU·mL, 95% CI = -8.66 to -4.99]) compared with youth in class 1 (lowest average counts per minute). Waist circumference was lower for the least sedentary class (-2.54 cm, 95% CI = -4.90 to -0.19) compared with the most sedentary class. Some associations were attenuated when classes were adjusted for mean physical activity or sedentary level.

conclusionsThere is some indication that patterns, in addition to the total amount of physical activity and sedentary behavior, may be important for cardiovascular health in youth. Longitudinal studies are needed to examine associations between physical activity and sedentary behavior patterns and changes in CVD risk factors.

Indexed as

Sedentary BehaviorAccelerometryAdolescentBlood GlucoseBlood PressureCardiorespiratory FitnessCardiovascular DiseasesChildCholesterol, HDLCholesterol, LDLCross-Sectional StudiesExerciseFemaleHumansInsulinMaleBlood GlucoseCholesterol, HDLCholesterol, LDLInsulinTriglycerides

Identifiers

PMID28538259
PMCPMC5976486
OpenAlexW2614993852

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.