Evidence map›Paper›PMID 24205046›Full record

ArticlePloS one2013

Adiponectin and leptin trajectories in Mexican-American children from birth to 9 years of age.

Vitaly Volberg, Brianna Heggeseth, Kim Harley, Karen Huen, Paul Yousefi, Veronica Davé, Kristin Tyler, Michelle Vedar, Brenda Eskenazi, Nina Holland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 16% 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Observational
  17. Article
  18. Article
  19. Article
  20. Observational
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

10 authors at 2 institutions in 1 country.

Vitaly VolbergCenter for Environmental Research and Children's Health (CERCH), School of Public Health, University of California, Berkeley, California, United States of America.
Brianna Heggeseth
Kim Harley
Karen Huen
Paul Yousefi
Veronica Davé
Kristin Tyler
Michelle Vedar
Brenda Eskenazi
Nina Holland
Center for Environmental Health · USUniversity of California, Berkeley · US

Funding

Project C: Epigenetic Effects of DDT/E and PBDEs on PubertyP01ES009605 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ESKENAZI, BRENDA · 1999 to 2015
$11.2M
Molecular Mechanisms of Obesity in Children Exposed to Phthalates in UteroR01ES021369 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2013 to 2017
$3.1M
PON1 and Developmental Sensitivity to OP PesticidesR01ES012503 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI HOLLAND, NINA T · 2006 to 2010
$2.0M
NIEHS NIH HHS P01 ES009605NIEHS NIH HHS P01ES009605NIEHS NIH HHS R01 ES012503NIEHS NIH HHS R01ES012503-03NIEHS NIH HHS R01 ES021369
6 · The paper itself

Abstract

objectivesTo address molecular mechanisms underlying obesity development, we examined patterns of critical metabolism-related hormones, adiponectin and leptin (adipokines), over childhood. SUBJECTS AND

designPlasma adiponectin and leptin were measured in 80 Mexican-American children at birth and again at 2, 5, and 9 years from the ongoing prospective cohort followed by the Center for the Health Assessment of Mothers and Children of Salinas (CHAMACOS). We used a mixture modeling approach to identify patterns in adipokine trajectories from birth to 9 years.

resultsLeptin was positively related to child body size within all ages, however adiponectin had inverse and weaker associations with BMI at 2, 5, and 9 years. Correlations between adipokine levels over the 0-2, 2-5, and 5-9-year periods increased for both leptin (r = 0.06, 0.31 and 0.62) and adiponectin (r = 0.25, 0.41 and 0.46). Our mixture modeling approach identified three trajectory clusters for both leptin (1L [slowly-rising], 2L [rapidly-rising], and 3L [stable]) and adiponectin (1A [steep-dropping and rebounding], 2A [moderately-dropping], and 3A [stable]). While leptin groups were most separated over the 2-9-year period, adiponectin trajectories displayed greatest heterogeneity from birth to 2 years. Children in the rapidly-rising 2L group had highest BMI and waist circumference at 9 years. Further, children with greater birth weight had increased odds of belonging to this high risk group (OR = 1.21 95% CI 1.03, 1.43, compared to stable group 3L). Children whose mothers consumed more sugar-sweetened beverages during pregnancy were at risk of being in the steep-dropping 1A group (OR = 1.08, 95% CI 1.01, 1.17, compared to stable group 3A).

conclusionOur results highlight developmental differences in leptin and adiponectin over the childhood period. Leptin closely reflects child body size however factors affecting adiponectin and long-term consequences of its changes over infancy need to be further explored.

Indexed as

AdiponectinAdolescentAdultBody Mass IndexChildChild, PreschoolFemaleFollow-Up StudiesHumansInfantInfant, NewbornLeptinLongitudinal StudiesMaleMexican AmericansMiddle AgedAdiponectinLeptin

Identifiers

PMID24205046
PMCPMC3813557
OpenAlexW1965461353

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.