Evidence map›Paper›PMID 33880490›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2022

Multimorbidity Accumulation Among Middle-Aged Americans: Differences by Race/Ethnicity and Body Mass Index.

Anda Botoseneanu, Sheila Markwardt, Corey L Nagel, Heather G Allore, Jason T Newsom, David A Dorr, Ana R Quiñones

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-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

9 citing papers in PubMed, 13 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

7 authors at 5 institutions in 1 country.

Anda BotoseneanuDepartment of Health & Human Services, University of Michigan, Dearborn, USA.ORCID 0000-0003-0628-5820
Sheila MarkwardtSchool of Public Health, Oregon Health & Science University, Portland, USA.
Corey L NagelCollege of Nursing, University of Arkansas for Medical Sciences, Little Rock, USA.
Heather G AlloreDepartment of Internal Medicine, School of Medicine, Yale University, New Haven, Connecticut,USA.ORCID 0000-0001-7685-8175
Jason T NewsomDepartment of Psychology, Portland State University, Oregon, USA.
David A DorrDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland, USA.ORCID 0000-0003-2318-7261
Ana R QuiñonesSchool of Public Health, Oregon Health & Science University, Portland, USA.ORCID 0000-0001-6554-7734
Oregon Health & Science University · USPortland State University · USUniversity of Arkansas for Medical Sciences · USUniversity of Michigan · USYale University · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Albert C Shaw · 2002 to 2026
$37.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Changes in Multimorbidity and Disability Among Race/Ethnic Older Adults (Administrative Supplement)R01AG055681 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI QUINONES, ANA ROMAN · 2017 to 2021
$2.8M
NCATS NIH HHS UL1 TR000433NIA NIH HHS P30 AG021342NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG055681NIA NIH HHS R01AG055681
6 · The paper itself

Abstract

backgroundObesity and multimorbidity are more prevalent among U.S. racial/ethnic minority groups. Evaluating racial/ethnic disparities in disease accumulation according to body mass index (BMI) may guide interventions to reduce multimorbidity burden in vulnerable racial/ethnic groups.

methodWe used data from the 1998-2016 Health and Retirement Study on 8 106 participants aged 51-55 at baseline. Disease burden and multimorbidity (≥2 co-occurring diseases) were assessed using 7 chronic diseases: arthritis, cancer, heart disease, diabetes, hypertension, lung disease, and stroke. Four BMI categories were defined per convention: normal, overweight, obese class 1, and obese class 2/3. Generalized estimating equations models with inverse probability weights estimated the accumulation of chronic diseases.

resultsOverweight and obesity were more prevalent in non-Hispanic Black (82.3%) and Hispanic (78.9%) than non-Hispanic White (70.9 %) participants at baseline. The baseline burden of disease was similar across BMI categories, but disease accumulation was faster in the obese class 2/3 and marginally in the obese class 1 categories compared with normal BMI. Black participants across BMI categories had a higher initial burden and faster accumulation of disease over time, while Hispanics had a lower initial burden and similar rate of accumulation, compared with Whites. Black participants, including those with normal BMI, reach the multimorbidity threshold 5-6 years earlier compared with White participants.

conclusionsControlling weight and reducing obesity early in the lifecourse may slow the progression of multimorbidity in later life. Further investigations are needed to identify the factors responsible for the early and progressing nature of multimorbidity in Blacks of nonobese weight.

Indexed as

EthnicityOverweightBody Mass IndexChronic DiseaseHumansMiddle AgedMinority GroupsMultimorbidityObesityUnited StatesWhite PeopleBody mass indexDisease accumulationMultimorbidityRace/ethnicity

Identifiers

PMID33880490
PMCPMC8824553
OpenAlexW3153499189

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.