Evidence mapPaperPMID 38861883Full record

ArticleEconomics and human biology2024

Explaining adverse cholesterol levels and distinct gender patterns in an Indonesian population compared with the U.S.

Ralph Lawton, Elizabeth Frankenberg, Teresa Seeman, Arun Karlamangla, Cecep Sumantri, Duncan Thomas

Abstract readComparative Study
In one paragraph

Article in Economics and human biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

6 authors.

Ralph LawtonHarvard University, Cambridge, MA, United States.
Elizabeth FrankenbergUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Teresa SeemanDavid Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Arun KarlamanglaDavid Geffen School of Medicine at UCLA, Los Angeles, CA, United States.
Cecep SumantriSurveyMeter, Yogyakarta, Indonesia.
Duncan ThomasDuke University, Durham, NC, United States. Electronic address: d.thomas@duke.edu.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · 2022 to 2025
$5.6M
Program Development (Pilot) CoreP30AG066615 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$769k
MD-PhD Training Program in Aging and the Social/Behavioral SciencesT32AG051108 · HARVARD MEDICAL SCHOOL · 2025 to 2025
$194k
NIA NIH HHS R01 AG031266NIA NIH HHS R01 AG065395NIA NIH HHS T32 AG051108NICHD NIH HHS R01 HD052762NIGMS NIH HHS T32 GM144273Wellcome Trust
6 · The paper itself

Abstract

Cardiovascular disease is among the most common causes of death around the world. As rising incomes in low and middle-income countries are accompanied by increased obesity, the burden of disease shifts towards non-communicable diseases, and lower-income settings make up a growing share of cardiovascular disease deaths. Comparative investigation of the roles of body composition, behavioral and socioeconomic factors across countries can shed light on both the biological and social drivers of cardiovascular disease more broadly. Comparing rigorously-validated measures of HDL and non-HDL cholesterol among adults in the United States and in Aceh, Indonesia, we show that Indonesians present with adverse cholesterol biomarkers relative to Americans, despite being younger and having lower body mass index. Adjusting for age, the gaps increase. Body composition, behaviors, demographic and socioeconomic characteristics that affect cholesterol do not explain between-country HDL differences, but do explain non-HDL differences, after accounting for medication use. On average, gender differences are inconsistent across the two countries and persist after controlling observed characteristics. Leveraging the richness of the Indonesian data to draw comparisons of males and females within the same household, the gender gaps among Indonesians are not explained for HDL cholesterol but attenuated substantially for non-HDL cholesterol. This finding suggests that unmeasured household resources play an important role in determining non-HDL cholesterol. More generally, they appear to be affected by social and biological forces in complex ways that differ across countries and potentially operate differently for HDL and non-HDL biomarkers. These results point to the value of rigorous comparative studies to advance understanding of cardiovascular risks across the globe.

Indexed as

CholesterolAdultAgedAge FactorsBiomarkersBody CompositionBody Mass IndexCardiovascular DiseasesCholesterol, HDLFemaleHumansIndonesiaMaleMiddle AgedRisk FactorsSex FactorsBiomarkersCholesterolCholesterol, HDLBiomarkersCardiovascular risksCholesterolIndonesiaUnited States

Identifiers

PMID38861883
PMCPMC11330738

What Socratic holds

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LicenceCC BY
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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 Socratic graph.