Evidence map›Paper›PMID 32687153›Full record

ArticleThe American journal of clinical nutrition2020

Distinct phenotypic characteristics of normal-weight adults at risk of developing cardiovascular and metabolic diseases.

Abishek Stanley, John Schuna, Shengping Yang, Samantha Kennedy, Moonseong Heo, Michael Wong, John Shepherd, Steven B Heymsfield

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Weight/heightObesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. 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

8 authors at 4 institutions in 1 country.

Abishek StanleyPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
John SchunaCollege of Public Health and Human Sciences, Oregon State University, Corvallis, OR, USA.
Shengping YangPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Samantha KennedyPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Moonseong HeoDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina, SC, USA.
Michael WongUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
John ShepherdUniversity of Hawaii Cancer Center, Honolulu, HI, USA.
Steven B HeymsfieldPennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
Pennington Biomedical Research Center · USUniversity of Hawaiʻi at Mānoa · USClemson University · USOregon State University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI AUGUSTO C. OCHOA · 2012 to 2026
$69.1M
Research BaseP30DK072476 · NIDDK · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI Sujoy Ghosh · 2005 to 2026
$26.5M
Optical Body Composition and Health AssessmentR01DK109008 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2016 to 2020
$3.2M
NIDDK NIH HHS P30 DK072476NIDDK NIH HHS R01 DK109008NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

backgroundThe normal-weight BMI range (18.5-24.9 kg/m2) includes adults with body shape and cardiometabolic disease risk features of excess adiposity, although a distinct phenotype developed on a large and diverse sample is lacking.

objectiveTo identify demographic, behavioral, body composition, and health-risk biomarker characteristics of people in the normal-weight BMI range who are at increased risk of developing cardiovascular and metabolic diseases based on body shape.

methodsSix nationally representative waist circumference index (WCI, weight/height0.5) prediction formulas, with BMI and age as covariates, were developed using data from 17,359 non-Hispanic (NH) white, NH black, and Mexican-American NHANES 1999-2006 participants. These equations were then used to predict WCI in 5594 NHANES participants whose BMI was within the normal weight range. Men and women in each race/Hispanic-origin group were then separated into high, medium, and low tertiles based on the difference (residual) between measured and predicted WCI. Characteristics were compared across tertiles; P values for significance were adjusted for multiple comparisons.

resultsMen and women in the high WCI residual tertile, relative to their BMI and age-equivalent counterparts in the low tertile, had significantly lower activity levels; higher percent trunk and total body fat (e.g. NH white men, X ± SE, 25.3 ± 0.2% compared with 20.4 ± 0.2%); lower percent appendicular lean mass (skeletal muscle) and bone mineral content; and higher plasma insulin and triglycerides, higher homeostatic model assessment of insulin resistance (e.g. NH white men, 1.45 ± 0.07 compared with 1.08 ± 0.06), and lower plasma HDL cholesterol. Percent leg fat was also significantly higher in men but lower in women. Similar patterns of variable statistical significance were present within sex and race/ethnic groups.

conclusionsCardiometabolic disease risk related to body shape in people who are normal weight according to BMI is characterized by a distinct phenotype that includes potentially modifiable behavioral health risk factors.

Indexed as

Body WeightAdultBody CompositionBody Mass IndexCardiovascular DiseasesFemaleHumansMaleMetabolic DiseasesMiddle AgedPhenotypeWaist Circumferencebody compositionbody shapechronic diseaseobesitywaist circumference

Identifiers

PMID32687153
PMCPMC7762762
OpenAlexW3043924792

What OpenQuestion holds

Textmetadata
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.