Evidence map›Paper›PMID 38097807›Full record

ArticleEuropean journal of clinical nutrition2024

The association of a healthy lifestyle index and imaging-based body fat distribution with glycemic status and Type 2 diabetes in the Multi Ethnic Cohort: a cross-sectional analysis.

Rebecca Klapp, Katharina Nimptsch, Tobias Pischon, Lynne R Wilkens, Unhee Lim, Cherie Guillermo, V Wendy Setiawan, John A Shepherd, Loïc Le Marchand, Gertraud Maskarinec

Open access · greenAbstract read
In one paragraph

Article in European journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 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

10 authors at 4 institutions in 2 countries.

Rebecca KlappUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.ORCID 0009-0006-6057-1050
Katharina NimptschMax Delbrück Centrum für Molekulare Medizin, Berlin, Germany.
Tobias PischonMax Delbrück Centrum für Molekulare Medizin, Berlin, Germany.ORCID 0000-0003-1568-767X
Lynne R WilkensUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.
Unhee LimUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.
Cherie GuillermoUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.
V Wendy SetiawanUniversity of Southern California, Los Angeles, CA, USA.
John A ShepherdUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.
Loïc Le MarchandUniversity of Hawai'i Cancer Center, Honolulu, HI, USA.
Gertraud MaskarinecUniversity of Hawai'i Cancer Center, Honolulu, HI, USA. gertraud@cc.hawaii.edu.ORCID 0000-0002-8129-958X
University of Hawaiʻi at Mānoa · USMax Delbrück Center · DEUniversity of Hawaii System · USUniversity of Southern California · US

Funding

University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI GERTRAUD MASKARINEC · 1996 to 2026
$56.2M
Understanding Population Differences in Cancer: The MEC StudyU01CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2015 to 2025
$37.4M
Recruitment and Data CollectionP01CA168530 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI LE MARCHAND, LOIC · 2012 to 2016
$19.9M
Longitudinal Study of Early NAFLD Progression and the Gut Microbiome in Asian Americans, Native Hawaiians and WhitesR01MD018265 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI Meredith Hullar, Unhee Lim · 2022 to 2026
$4.4M
Multidisciplinary Training in Ethnic Diversity and Cancer DisparitiesT32CA229110 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HAIMAN, CHRISTOPHER ALAN, LE MARCHAND, LOIC · 2019 to 2023
$2.1M
NCI NIH HHS P01 CA168530NCI NIH HHS P30 CA071789NCI NIH HHS T32 CA229110NCI NIH HHS U01 CA164973NIMHD NIH HHS R01 MD018265
6 · The paper itself

Abstract

introductionAs several behaviors captured by the Lifestyle Risk Factor Index (LSRI) are protective against Type 2 diabetes (T2D) and may affect body fat distribution, we examined its relation with both outcomes.

methodsIn a subset of the Multiethnic Cohort, participants from five ethnic groups (60-77 years) were assigned LSRI scores (one point each for consuming <1 (women)/<2 (men) alcoholic drinks/day, ≥1.5 physical activity hours/week, not smoking, and adhering to ≥3/7 dietary recommendations). All participants completed an extensive Quantitative Food Frequency Questionnaire to allow estimation of adherence to intake recommendations for fruits, vegetables, refined and whole grains, fish, processed and non-processed meat. Glycemic/T2D status was classified according to self-reports and fasting glucose. We estimated prevalence odds ratios (POR) of LSRI with glycemic/T2D status and DXA- and MRI-based body fat distribution using logistic regression.

resultsOf 1713 participants, 43% had normoglycemia, 30% Pre-T2D, 9% Undiagnosed T2D, and 18% T2D. Overall, 39% scored 0-2, 49% 3, and 12% 4 LSRI points. T2D prevalence was 55% (POR 0.45; 95% confidence intervals 0.27, 0.76) lower for 4 vs. 0-2 LSRI points with weaker associations for abnormal glycemic status. Despite the low adherence to dietary recommendations (22%), this was the only component related to lower T2D prevalence. The inverse LSRI-T2D association was only observed among Latinos and Japanese Americans in ethnic-specific models. Visceral fat measures were higher in T2D patients and attenuated the LSRI-T2D association.

conclusionThese findings support the role of a healthy lifestyle, especially diet, in T2D prevention with differences across ethnicity.

Indexed as

Diabetes Mellitus, Type 2AnimalsCross-Sectional StudiesDietFemaleHealthy LifestyleHumansMaleRisk Factors

Identifiers

PMID38097807
PMCPMC11323202
OpenAlexW4389728785

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.