Evidence map›Paper›PMID 28349665›Full record

ArticleObesity (Silver Spring, Md.)2017

Steeper change in body mass across four decades predicts poorer cardiometabolic outcomes at midlife.

Hong Xian, Terrie Vasilopoulos, Weijian Liu, Richard L Hauger, Kristen C Jacobson, Michael J Lyons, Matthew Panizzon, Chandra A Reynolds, Eero Vuoksimaa, William S Kremen and 1 more

Open access · greenAbstract readTwin Study
In one paragraph

Article in Obesity (Silver Spring, Md.), 2017. 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
3.7field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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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

11 authors at 8 institutions in 2 countries.

Hong XianDepartment of Biostatistics, St. Louis University, St. Louis, Missouri, USA.
Terrie VasilopoulosDepartment of Anesthesiology, University of Florida, Gainesville, Florida, USA.
Weijian LiuDepartment of Biostatistics, St. Louis University, St. Louis, Missouri, USA.
Richard L HaugerDepartment of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA.
Kristen C JacobsonDepartment of Psychiatry & Behavioral Neuroscience, University of Chicago, Chicago, Illinois, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA.
Matthew PanizzonDepartment of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA.
Chandra A ReynoldsDepartment of Psychology, University of California Riverside, Riverside, California, USA.
Eero VuoksimaaDepartment of Public Health, University of Helsinki, Helsinki, Finland.
William S KremenDepartment of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA.
Carol E FranzDepartment of Psychiatry & Center for Behavior Genetics of Aging, University of California San Diego, La Jolla, California, USA.
University of California, San Diego · USSaint Louis University · USBoston University · USUniversity of California, Riverside · USUniversity of Chicago · USUniversity of Florida · USUniversity of Helsinki · FIVA San Diego Healthcare System · US

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
The VETSA Longitudinal Twin Study of Cognition and AgingR01AG018384 · NIA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI LYONS, MICHAEL J. · 2002 to 2012
$9.8M
The VETSA longitudinal twin study of cognition and agingR01AG018386 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2002 to 2012
$9.7M
The VETSA Longitudinal Twin Study of Cortisol and AgingR01AG022982 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2004 to 2007
$2.6M
Testosterone-Androgen Receptor Genetics: Role in Cognitive and Biological AgingK08AG047903 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PANIZZON, MATTHEW S · 2014 to 2017
$452k
Archiving the Vietnam Era Twin Studies of Aging (VETSA): New Uses for Old DataR03AG046413 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRANZ, CAROL ELAINE · 2013 to 2014
$247k
NIA NIH HHS K08 AG047903NIA NIH HHS R01 AG018384NIA NIH HHS R01 AG018386NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG022982NIA NIH HHS R01 AG050595NIA NIH HHS R03 AG046413
6 · The paper itself

Abstract

objectiveThis study examined patterns of change in adiposity across four decades starting in young adulthood as well as associations between change and midlife cardiometabolic outcomes.

methodsBMI was assessed at ages 20, 40, 56, and 62 years in 977 male veterans from the Vietnam Era Twin Study of Aging. Age 62 (range 56-66) cardiometabolic outcomes included hypertension, diabetes, dyslipidemia, inflammation, and ischemic heart disease. Analyses included latent growth modeling (LGM), latent class growth modeling (LCGM), and logistic regression models.

resultsLinear BMI slope was associated with all outcomes. Accelerated (quadratic) BMI slope was significantly associated with greater risk for hypertension, diabetes, dyslipidemia, and inflammation; odds ratios ranged from 1.93 (diabetes) to 3.15 (dyslipidemia). Initial BMI did not predict later outcomes. Linear slope contributed significant unique variance for diabetes and dyslipidemia even controlling for age 62 BMI. LCGM revealed three trajectories. Men with the relatively stable, lower BMI trajectory had significantly better outcomes than those with trajectories with accelerated increases, especially those including obesity.

conclusionsHow individuals reach late-midlife BMI is important. Steepness of BMI change across 40 years from young adulthood to late midlife, in addition to late-midlife BMI itself, was robustly associated with greater risk for poor cardiometabolic outcomes.

Indexed as

Body Mass IndexAdiposityAdultAgingDiabetes MellitusDyslipidemiasHumansHypertensionLogistic ModelsMaleMiddle AgedMyocardial IschemiaRisk FactorsUnited StatesVeteransVietnam Conflict

Identifiers

PMID28349665
PMCPMC5373489
OpenAlexW2602671841

What OpenQuestion holds

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Registered trials

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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.