Evidence map›Paper›PMID 30306887›Full record

ArticlePublic health nutrition2019

Life-course BMI and biomarkers in persons aged 60 years or older: a comparison of the USA and Costa Rica.

David H Rehkopf, Andrew Duong, William H Dow, Luis Rosero-Bixby

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

4 authors at 3 institutions in 2 countries.

David H RehkopfStanford University School of Medicine, Department of Medicine, Division of Primary Care and Population Health, 1070 Arastradero Road, Room 280, Palo Alto, CA94304, USA.ORCID http://orcid.org/0000-0002-7597-6513
Andrew DuongStanford University School of Medicine, Department of Medicine, Division of Primary Care and Population Health, 1070 Arastradero Road, Room 280, Palo Alto, CA94304, USA.
William H DowUniversity of California, Berkeley, School of Public Health, Berkeley, CA, USA.
Luis Rosero-BixbyUniversidad de Costa Rica, Centro Centroamericano de Poblacion, Costa Rica.
Stanford University · USBerkeley Public Health Division · USUniversidad de Costa Rica · CR

Funding

Life course contexts and work - quantifying impacts on aging and chronic diseaseK01AG047280 · NIA · STANFORD UNIVERSITY · PI REHKOPF, DAVID H · 2014 to 2018
$632k
NIA NIH HHS K01 AG047280Wellcome TrustWellcome Trust 072406
6 · The paper itself

Abstract

objectiveThere is a large literature linking current BMI to levels of cardiovascular risk biomarkers, but it is unknown whether measures of BMI earlier in the life course and maximum BMI are predictive of current levels of biomarkers. The objective of the current study was to determine how current, maximum and age-25 BMI among individuals over the age of 60 years are associated with their current levels of cardiovascular risk biomarkers.

designCross-sectional study with retrospective recall.

settingCosta Rica (n 821) and the USA (n 4110). SUBJECTS: Nationally representative samples of adults aged 60 years or over.

resultsWe used regression models to examine the relationship between multiple meaures of BMI with four established cardiovascular risk biomarkers. The most consistent predictor of current levels of systolic blood pressure, TAG and HDL-cholesterol was current BMI. However, maximum BMI was the strongest predictor of glycosylated Hb (HbA1c) and was also related to HDL-cholesterol and TAG. HbA1c was independent of current BMI. We found that these relationships are consistent between Costa Rica and the USA for HbA1c and for HDL-cholesterol.

conclusionsCurrent levels of cardiovascular risk biomarkers are not only the product of current levels of BMI, but also of maximum lifetime BMI, particularly for levels of HbA1c and for HDL-cholesterol. Managing maximum obtained BMI over the life course may be most critical for maintaining the healthiest levels of cardiovascular risk.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overBiomarkersBlood PressureCardiovascular DiseasesCholesterol, HDLCosta RicaCross-Sectional StudiesFemaleGlycated HemoglobinHumansLongevityMaleMiddle AgedBiomarkersCholesterol, HDLGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesBiomarkersCVDLatin AmericaLife courseObesity

Identifiers

PMID30306887
PMCPMC6351185
OpenAlexW2896859027

What OpenQuestion holds

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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.