Evidence map›Paper›PMID 33091024›Full record

ArticlePloS one2020

Lifecourse body mass index trajectories and cardio-metabolic disease risk in Guatemalan adults.

Nicole D Ford, Reynaldo Martorell, Neil K Mehta, Cria G Perrine, Manuel Ramirez-Zea, Aryeh D Stein

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

6 authors at 4 institutions in 2 countries.

Nicole D FordHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0002-6463-5094
Reynaldo MartorellHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.ORCID 0000-0001-8862-7243
Neil K MehtaDepartment of Health Management and Policy, School of Public Health, University of Michigan, Ann Arbor, Michigan, United States of America.
Cria G PerrineDivision of Nutrition, Physical Activity, and Obesity, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia, United States of America.
Manuel Ramirez-ZeaINCAP Research Center for the Prevention of Chronic Diseases (CIIPEC), Institute of Nutrition of Central America and Panama, Guatemala City, Guatemala.
Aryeh D SteinHubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America.
Emory University · USCenters for Disease Control and Prevention · USInstitute of Nutrition of Central America and Panama · GTUniversity of Michigan · US

Funding

Early childhood nutrition and adult metabolomic and cardiometabolic profilesR01HD075784 · NICHD · EMORY UNIVERSITY · PI STEIN, ARYEH DAVID · 2014 to 2018
$2.7M
NICHD NIH HHS R01 HD075784
6 · The paper itself

Abstract

Little is known about body size over the life-course and non-communicable disease risk in low- and middle-income country populations. Our study explored the role of body mass index (BMI) trajectories from infancy through mid-adulthood on cardio-metabolic disease (CMD) risk factors in a prospective cohort of Guatemalan adults. Study participants were born in Guatemala from 1962-77 and have been followed prospectively since participating in a nutrition supplementation trial as children. Sex-specific BMI latent class trajectories were derived using latent class growth modeling from up to 22 possible BMI values from age 1 month to 42 years measured between 1969 and 2004. CMD risk factors were assessed in 2015-17 (at age 37-54 years) using anthropometry, blood glucose and lipids, and blood pressure. We used logistic regression to assess the role of BMI trajectory on CMD risk factors in 510 women and 346 men (N = 856). We identified two BMI latent classes for women (low [n = 287, 56.3%] and high [n = 223, 43.7%]) and three classes for men (low [n = 141, 40.8%], medium [n = 160, 46.2%], and high [n = 45, 13.0%]). Given the small percentage of men in the high BMI latent class, we collapsed the medium and high BMI latent classes for men (n = 205, 59.1%). Among the most prevalent CMD risk factors at ages 37-54 years were abdominal obesity defined by waist-height ratio (99.6% of women and 87.3% of men), obesity defined by percent body fat (96.6% of women and 75.9% of men), low HDL-c (87.5% of women and 74.5% of men), and elevated triglycerides (78.3% of women and 73.6% of men). Except for obesity defined by BMI, we found no associations between BMI latent class and CMD risk factors in women. Among men, BMI latent class was not associated with CMD risk factors after controlling for current BMI. For the CMD risk factors we analyzed, the role of early life BMI on adult CMD appeared to be mediated by adult BMI among men-highlighting the need to establish and maintain healthy body weight over the life course.

Indexed as

AdolescentAdultBody Mass IndexChildChild, PreschoolFemaleGuatemalaHumansInfantInfant, NewbornLogistic ModelsLongitudinal StudiesMaleMetabolic SyndromeMiddle AgedModels, Theoretical

Identifiers

PMID33091024
PMCPMC7580923
OpenAlexW3094620749

What OpenQuestion holds

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LicenceCC0
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.