Evidence map›Paper›PMID 30639247›Full record

ArticleMetabolism: clinical and experimental2019

A low resting metabolic rate in late childhood is associated with weight gain in adolescence.

Maximilian G Hohenadel, Tim Hollstein, Marie Thearle, Martin Reinhardt, Paolo Piaggi, Arline D Salbe, Jonathan Krakoff

Abstract read
In one paragraph

Article in Metabolism: clinical and experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Targeting skeletal muscle mitochondrial health in obesity.Clinical science (London, England : 1979) · 2022
    Review
  7. Article
  8. Significance of variation in basal metabolic rate in laboratory mice for translational experiments.Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology · 2022
    Article
  9. Article
  10. Article
  11. Metabolic Determinants of Weight Gain in Humans.Obesity (Silver Spring, Md.) · 2019
    Review
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

7 authors.

Maximilian G HohenadelPhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America.
Tim HollsteinPhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America. Electronic address: tim.hollstein@nih.gov.
Marie ThearlePhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America.
Martin ReinhardtPhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America; Department of Diagnostic and Interventional Radiology, University Hospital Leipzig, Liebigstrasse 20, 04103 Leipzig, Germany.
Paolo PiaggiPhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America.
Arline D SalbePhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America.
Jonathan KrakoffPhoenix Epidemiology and Clinical Research Branch, 4212 N 16th Street, Phoenix, AZ 85016, United States of America.

Funding

Risk Factors and Etiology of Obesity and Type 2 DiabetesZIADK069015 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI KRAKOFF, JONATHAN · 2009 to 2025
$4.2M
Intramural NIH HHS Z99 DK999999
6 · The paper itself

Abstract

BACKGROUND AND

objectivesLower total energy expenditure (TEE) and resting metabolic rate (RMR) are associated with greater weight gain in Native American adults. Whether these effects exist in childhood is unclear. We hypothesized that lower energy expenditure measured in childhood would predict greater relative change in body mass index (BMI) during adolescence.

methodsMeasurements of height, weight, body composition, RMR and TEE were completed in 181 Native American children at exams done at age 5 and 10years, with 126 children having biennial follow-up assessments of weight and height after age 10years until age 20years. TEE and RMR were adjusted for age, sex, height, fat mass and fat free mass. BMI-change was assessed using population specific and Center for Disease Control (CDC) BMI z-scores and change in the relative difference to the 95th BMI-centile.

resultsLower adjusted RMR at age 10years was associated with greater increase in population-specific and CDC BMI z-scores, greater increase in the relative difference to the 95th BMI-centile and greater weight gain (all r≤-0.22, p≤0.01). However, no association was found with adjusted RMR at age 5years and with adjusted TEE and physical activity level assessed at age 5 or 10years.

conclusionsLower adjusted RMR at age 10years predicted greater change in adolescent BMI z-score indicating that the effects of relatively low metabolic rate on future weight gain in this population may begin in late childhood.

Indexed as

Weight GainAdolescentAge FactorsBasal MetabolismBody Mass IndexChildChild, PreschoolEnergy MetabolismHumansIndians, North AmericanYoung AdultBMIChildhoodEnergy expenditureObesityResting metabolic rateWeight gainZ-score

Identifiers

PMID30639247
PMCPMC6407417

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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.