Evidence map›Paper›PMID 38102440›Full record

ArticleGeroScience2024

Interplay of body mass index and metabolic syndrome: association with physiological age from midlife to late-life.

Peggy Ler, Alexander Ploner, Deborah Finkel, Chandra A Reynolds, Yiqiang Zhan, Juulia Jylhävä, Anna K Dahl Aslan, Ida K Karlsson

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

8 authors at 6 institutions in 4 countries.

Peggy LerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, Solna, 171 65, Stockholm, Sweden. peggy.ler@ki.se.ORCID 0000-0002-4845-1180
Alexander PlonerDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, Solna, 171 65, Stockholm, Sweden.
Deborah FinkelCenter for Economic and Social Research, University of Southern California, Los Angeles, California, USA.
Chandra A ReynoldsInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA.
Yiqiang ZhanSchool of Public Health, Sun Yat-Sen University, Shenzhen Campus, Shenzhen, Guandong, China.
Juulia JylhäväDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, Solna, 171 65, Stockholm, Sweden.
Anna K Dahl AslanSchool of Health Sciences, University of Skövde, Skövde, Sweden.
Ida K KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels väg 12A, Solna, 171 65, Stockholm, Sweden.
Karolinska Institutet · SESun Yat-sen University · CNTampere University · FIUniversity of Colorado Boulder · USUniversity of Skövde · SEUniversity of Southern California · US

Funding

Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6M
SES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9M
GENETIC &ENVIRONMENTAL INFLUENCES--BIOBEHAVIORAL AGINGR01AG010175 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 1992 to 2006
$2.8M
NIA NIH HHS R01 AG010175NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470
6 · The paper itself

Abstract

Obesity and metabolic syndrome (MetS) share common pathophysiological characteristics with aging. To better understand their interplay, we examined how body mass index (BMI) and MetS jointly associate with physiological age, and if the associations changed from midlife to late-life. We used longitudinal data from 1,825 Swedish twins. Physiological age was measured as frailty index (FI) and functional aging index (FAI) and modeled independently in linear mixed-effects models adjusted for chronological age, sex, education, and smoking. We assessed curvilinear associations of BMI and chronological age with physiological age, and interactions between BMI, MetS, and chronological age. We found a significant three-way interaction between BMI, MetS, and chronological age on FI (p-interaction = 0·006), not FAI. Consequently, we stratified FI analyses by age: < 65, 65-85, and ≥ 85 years, and modeled FAI across ages. Except for FI at ages ≥ 85, BMI had U-shaped associations with FI and FAI, where BMI around 26-28 kg/m

Indexed as

Metabolic SyndromeAged, 80 and overAgingBody Mass IndexHumansObesitySmokingBiological ageFrailty indexMetabolic healthMetabolic syndromeObesity

Identifiers

PMID38102440
PMCPMC10828240
OpenAlexW4389805361

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.