Evidence map›Paper›PMID 31849318›Full record

ArticleBMC pediatrics2019

Active children are less adipose and insulin resistant in early adolescence; evidence from the Mysore Parthenon Cohort.

Sarah H Kehoe, Ghattu V Krishnaveni, Sargoor Veena, Krishnarajasagara N Kiran, Samuel C Karat, Asha Dhubey, Patsy Coakley, Caroline H D Fall

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

8 authors at 2 institutions in 2 countries.

Sarah H KehoeMedical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK. sk@mrc.soton.ac.uk.ORCID 0000-0003-2584-7999
Ghattu V KrishnaveniEpidemiology Research Unit, Holdsworth Memorial Hospital, Mandi Mohalla, Mysuru, Karnataka, 570021, India.
Sargoor VeenaEpidemiology Research Unit, Holdsworth Memorial Hospital, Mandi Mohalla, Mysuru, Karnataka, 570021, India.
Krishnarajasagara N KiranEpidemiology Research Unit, Holdsworth Memorial Hospital, Mandi Mohalla, Mysuru, Karnataka, 570021, India.
Samuel C KaratEpidemiology Research Unit, Holdsworth Memorial Hospital, Mandi Mohalla, Mysuru, Karnataka, 570021, India.
Asha DhubeyEpidemiology Research Unit, Holdsworth Memorial Hospital, Mandi Mohalla, Mysuru, Karnataka, 570021, India.
Patsy CoakleyMedical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK.
Caroline H D FallMedical Research Council Lifecourse Epidemiology Unit, Southampton General Hospital, Tremona Road, Southampton, SO16 6YD, UK.
CSI Holdsworth Memorial Hospital · INSouthampton General Hospital · GB

Funding

Medical Research Council G0400519Medical Research Council MC_PC_MR/R018545/1Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/3Wellcome Trust
6 · The paper itself

Abstract

backgroundThe aim of this study was to determine whether physical activity volume and intensity in mid-childhood and early adolescence were associated with cardiometabolic risk factors at 13.5 years.

methodsParticipants were recruited from the Mysore Parthenon observational birth cohort. At ages 6-10 and 11-13 years, volume and intensity of physical activity were assessed using AM7164 or GT1M actigraph accelerometers worn for ≥4 days, and expressed as mean counts per day and percentage time spent in light, moderate and vigorous physical activity according to criteria defined by Evenson et al. At 13.5 years, fasting blood samples were collected; lipids, glucose and insulin concentrations were measured and insulin resistance (HOMA) was calculated. Systolic and diastolic blood pressure were measured at the left arm using a Dinamap (Criticon). Anthropometry and bio-impedance analysis were used to assess body size and composition. Metabolic and anthropometric measures were combined to produce a metabolic syndrome risk score.

resultsAt 6-10 years, boys and girls respectively spent a median (IQR) of 1.1 (0.5, 2.0) % and 0.8 (0.4, 1.3) % of recorded time vigorously active. At 11-13 years, boys and girls respectively spent a median (IQR) of 0.8 (0.4, 1.7) % and 0.3 (0.1, 0.6) % of time vigorously active. All of the physical activity parameters were positively correlated between the 6-10 year and the 11-13 year measurements indicating that physical activity tracked from childhood to early adolescence. There were no associations between physical activity at 6-10 years and individual 13.5 year risk factors but % time vigorously active was inversely associated with metabolic syndrome score (B = -0.40, 95% CI -0.75, 0.05). Volume of physical activity at 11-13 years was inversely associated with 13.5 year HOMA and fat percentage and vigorous physical activity was associated with HOMA, fat percentage, sum of skinfolds, waist circumference and total: HDL cholesterol ratio. Vigorous physical activity was inversely associated with metabolic syndrome score (B = -0.51, 95% CI -0.94, -0.08).

conclusionsVolume and intensity of physical activity in early adolescence were negatively associated with metabolic and anthropometric risk factors. Interventions that aim to increase adolescent physical activity, especially vigorous, may prevent cardiometabolic disease in later life.

Indexed as

AdiposityExerciseInsulin ResistanceAdolescentChildCohort StudiesFemaleHumansMaleMetabolic SyndromeRisk FactorsAdolescentCardiometabolic riskChildrenIndiaInsulin resistancePhysical activity

Identifiers

PMID31849318
PMCPMC6918651
OpenAlexW2994619051

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.