Evidence map›Paper›PMID 38910120›Full record

ArticleJournal of atherosclerosis and thrombosis2024

Genetic Risk, Healthy Lifestyle Adherence, and Risk of Developing Diabetes in the Japanese Population.

Masato Takase, Naoki Nakaya, Tomohiro Nakamura, Mana Kogure, Rieko Hatanaka, Kumi Nakaya, Ippei Chiba, Ikumi Kanno, Kotaro Nochioka, Naho Tsuchiya and 22 more

Abstract read
In one paragraph

Article in Journal of atherosclerosis and thrombosis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Genetic basis of Asian diabetes.Journal of diabetes investigation · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Associations of family history of hypertension, genetic, and lifestyle risks with incident hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2025
    Article
  6. Review
  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

32 authors.

Masato TakaseGraduate School of Medicine, Tohoku University.
Naoki NakayaGraduate School of Medicine, Tohoku University.
Tomohiro NakamuraTohoku Medical Megabank Organization, Tohoku University.
Mana KogureGraduate School of Medicine, Tohoku University.
Rieko HatanakaGraduate School of Medicine, Tohoku University.
Kumi NakayaGraduate School of Medicine, Tohoku University.
Ippei ChibaGraduate School of Medicine, Tohoku University.
Ikumi KannoGraduate School of Medicine, Tohoku University.
Kotaro NochiokaGraduate School of Medicine, Tohoku University.
Naho TsuchiyaGraduate School of Medicine, Tohoku University.
Takumi HirataTohoku Medical Megabank Organization, Tohoku University.
Akira NaritaGraduate School of Medicine, Tohoku University.
Taku ObaraGraduate School of Medicine, Tohoku University.
Mami IshikuroGraduate School of Medicine, Tohoku University.
Akira UrunoTohoku Medical Megabank Organization, Tohoku University.
Tomoko KobayashiGraduate School of Medicine, Tohoku University.
Eiichi N KodamaTohoku Medical Megabank Organization, Tohoku University.
Yohei HamanakaTohoku Medical Megabank Organization, Tohoku University.
Masatsugu OruiGraduate School of Medicine, Tohoku University.
Soichi OgishimaGraduate School of Medicine, Tohoku University.
Satoshi NagaieGraduate School of Medicine, Tohoku University.
Nobuo FuseGraduate School of Medicine, Tohoku University.
Junichi SugawaraGraduate School of Medicine, Tohoku University.
Shinichi KuriyamaGraduate School of Medicine, Tohoku University.
BioBank Japan Project
Koichi MatsudaLaboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, the University of Tokyo.
Yoko IzumiGraduate School of Medicine, Tohoku University.
Kengo KinoshitaGraduate School of Medicine, Tohoku University.
Gen TamiyaGraduate School of Medicine, Tohoku University.
Atsushi HozawaGraduate School of Medicine, Tohoku University.
Masayuki YamamotoGraduate School of Medicine, Tohoku University.
ToMMo investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study examined the relationship between genetic risk, healthy lifestyle, and risk of developing diabetes.

methodsThis prospective cohort study included 11,014 diabetes-free individuals ≥ 20 years old from the Tohoku Medical Megabank Community-based cohort study. Lifestyle scores, including the body mass index, smoking, physical activity, and gamma-glutamyl transferase (marker of alcohol consumption), were assigned, and participants were categorized into ideal, intermediate, and poor lifestyles. A polygenic risk score (PRS) was constructed based on the type 2 diabetes loci from the BioBank Japan study. A multiple logistic regression model was used to estimate the association between genetic risk, healthy lifestyle, and diabetes incidence and to calculate the area under the receiver operating characteristic curve (AUROC).

resultOf the 11,014 adults included (67.8% women; mean age [standard deviation], 59.1 [11.3] years old), 297 (2.7%) developed diabetes during a mean 4.3 (0.8) years of follow-up. Genetic and lifestyle score is independently associated with the development of diabetes. Compared with the low genetic risk and ideal lifestyle groups, the odds ratio was 3.31 for the low genetic risk and poor lifestyle group. When the PRS was integrated into a model including the lifestyle and family history, the AUROC significantly improved to 0.719 (95% confidence interval [95% CI]: 0.692-0.747) compared to a model including only the lifestyle and family history (0.703 [95% CI, 0.674-0.732]).

conclusionOur findings indicate that adherence to a healthy lifestyle is important for preventing diabetes, regardless of genetic risk. In addition, genetic risk might provide information beyond lifestyle and family history to stratify individuals at high risk of developing diabetes.

Indexed as

Diabetes Mellitus, Type 2Genetic Predisposition to DiseaseHealthy LifestyleAdultAgedBody Mass IndexEast Asian PeopleFemaleFollow-Up StudiesHumansIncidenceJapanLife StyleMaleMiddle AgedPrognosisDiabetes mellitusEpidemiologyGeneticLifestylePolygenic risk score

Identifiers

PMID38910120
PMCPMC11620841

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.