Evidence map›Paper›PMID 35181188›Full record

ArticleNutrition, metabolism, and cardiovascular diseases : NMCD2022

Dynamic relationships between body fat and circulating adipokine levels from adolescence to young adulthood: The Santiago Longitudinal Study.

Daeeun Kim, Annie Green Howard, Estela Blanco, Raquel Burrows, Paulina Correa-Burrows, Aylin Memili, Cecilia Albala, José L Santos, Bárbara Angel, Betsy Lozoff and 4 more

Open access · greenAbstract read
In one paragraph

Article in Nutrition, metabolism, and cardiovascular diseases : NMCD, 2022. 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
0.6field-weighted citation impact, top 34% 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, 4 citations in OpenAlex.

  1. Review
  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

14 authors at 5 institutions in 2 countries.

Daeeun KimDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Annie Green HowardDepartment of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Estela BlancoDivision of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA; Department of Public Health, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Raquel BurrowsInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Paulina Correa-BurrowsInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Aylin MemiliDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Cecilia AlbalaInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
José L SantosDepartment of Nutrition, Diabetes and Metabolism, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Bárbara AngelInstitute of Nutrition and Food Technology, University of Chile, Santiago, Chile.
Betsy LozoffDepartment of Pediatrics, University of Michigan, Ann Arbor, MI, USA.
Anne E JusticeDepartment of Population Health Sciences, Geisinger, Danville, PA, USA.
Penny Gordon-LarsenCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Nutrition, Gillings School of Global Public Health & School of Medicine, University of North Carolina at Chapel Hill, USA.
Sheila GahaganDivision of Academic General Pediatrics, Child Development and Community Health at the Center for Community Health, University of California at San Diego, San Diego, CA, USA.
Kari E NorthDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. Electronic address: kari_north@unc.edu.
University of North Carolina at Chapel Hill · USUniversity of Chile · CLPontificia Universidad Católica de Chile · CLGeisinger Health System · USUniversity of Michigan · US

Funding

Polygenic Risk Scores for Diverse Populations - Bridging Research and Clinical CareR01HL151152 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Christy Leigh Avery, Jennifer Below · 2020 to 2026
$12.3M
Leveraging multi-omics approaches to examine metabolic challenges of obesity in relation to cardiovascular diseasesR01HL143885 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI AVERY, CHRISTY LEIGH, GORDON-LARSEN, PENNY · 2019 to 2022
$8.9M
NEUROMATURATION DELAYS IN IRON DEFICIENT ANEMIC INFANTSR01HD033487 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GAHAGAN, SHEILA, LOZOFF, BETSY · 1997 to 2016
$8.8M
Biopsychosocial Determinants of Adolescent Obesity/Cardiovascular RiskR01HL088530 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GAHAGAN, SHEILA · 2008 to 2017
$5.0M
Integrative Approaches to Identifying Function and Clinical Significance of Adiposity Susceptibility GenesR01DK122503 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Anne Justice, Ching-Ti Liu · 2020 to 2026
$4.5M
Sex- and Smoking- Specific DNA Methylation Signatures of Central Adiposity ChangeR00HL130580 · NHLBI · GEISINGER CLINIC · PI JUSTICE, ANNE · 2017 to 2019
$745k
Sex- and Smoking- Specific DNA Methylation Signatures of Central Adiposity ChangeK99HL130580 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JUSTICE, ANNE · 2016 to 2017
$217k
NHLBI NIH HHS K99 HL130580NHLBI NIH HHS R00 HL130580NHLBI NIH HHS R01 HL088530NHLBI NIH HHS R01 HL143885NHLBI NIH HHS R01 HL151152NICHD NIH HHS R01 HD033487NIDDK NIH HHS R01 DK122503
6 · The paper itself

Abstract

BACKGROUND AND

aimsAdipose tissue secretes adipokines such as adiponectin and leptin, playing important roles in energy metabolism. The longitudinal associations between such adipokines and body fat accumulation have not been established, especially during adolescence and young adulthood and in diverse populations. The study aims to assess the longitudinal association between body fat measured with dual X-ray absorptiometry and plasma adipokines from adolescence to young adulthood. METHODS AND

resultsAmong Hispanic/Latino participants (N = 537) aged 16.8 (SD: 0.3) years of the Santiago Longitudinal Study, we implemented structural equation modeling to estimate the sex-specific associations between adiposity (body fat percent (BF%) and proportion of trunk fat (PTF)) and adipokines (adiponectin and leptin levels) during adolescence (16 y) and these values after 6 years of follow-up (22 y). In addition, we further investigated whether the associations differed by baseline insulin resistance (IR) status. We found evidence for associations between 16 y BF% and 22 y leptin levels (β (SE): 0.58 (0.06) for females; 0.53 (0.05) for males), between 16 y PTF and 22 y adiponectin levels (β (SE): -0.31 (0.06) for females; -0.18 (0.06) for males) and between 16 y adiponectin levels and 22 y BF% (β (SE): 0.12 (0.04) for both females and males).

conclusionWe observed dynamic relationships between adiposity and adipokines levels from late adolescence to young adulthood in a Hispanic/Latino population further demonstrating the importance of this period of the life course in the development of obesity.

Indexed as

AdipokinesLeptinAdiponectinAdipose TissueAdiposityAdolescentAdultFemaleHumansLongitudinal StudiesMaleObesityYoung AdultAdipokinesAdiponectinLeptinAdiponectinAdiposityAdolescenceHispanic/Latino populationLeptin

Identifiers

PMID35181188
PMCPMC9107379
OpenAlexW4206325564

What OpenQuestion holds

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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.