Evidence map›Paper›PMID 30535795›Full record

ArticleEuropean journal of nutrition2019

Rice intake and risk of type 2 diabetes: the Singapore Chinese Health Study.

Jowy Y H Seah, Woon-Puay Koh, Jian-Min Yuan, Rob M van Dam

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in European journal of nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03356340 (The Singapore Chinese Health Study), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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.

NCT03356340 unknown statusnot on this map

The Singapore Chinese Health Study

TypeobservationalSponsorDuke-NUS Graduate Medical SchoolRan1993 to 2025Enrolled63,257ConditionsCancer, End Stage Renal Disease, Diabetes, Cardiovascular Diseases
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Integrative Genomic Analyses IdentifybioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Evaluation of the trade-off between variety, processing, and low-GI claim in ready-to-eat rice.Food science and technology international = Ciencia y tecnologia de los alimentos internacional · 2026
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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.

Jowy Y H SeahSaw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore.ORCID http://orcid.org/0000-0001-7459-556X
Woon-Puay Koh *Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore. woonpuay.koh@duke-nus.edu.sg.
Jian-Min YuanDivision of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA.
Rob M van Dam *Saw Swee Hock School of Public Health, National University of Singapore (NUS), Singapore, Singapore. rob.van.dam@nus.edu.sg.
National University of Singapore · SGHarvard University · USUniversity of Pittsburgh · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
National Medical Research Council, Singapore NMRC/CSA/0055/2013NCI NIH HHS R01 CA144034NCI NIH HHS UM1 CA182876NIH HHS R01 CA144034NIH HHS UM1 CA182876
6 · The paper itself

Abstract

purposeThe prevalence of type 2 diabetes (T2D) is increasing in Asian populations. White rice is a common staple food in these populations and results from several studies suggest that high white rice consumption increases T2D risk. We assessed whether rice, noodles and bread intake was associated with T2D risk in an ethnic Chinese population.

methodsWe included data from 45,411 male and female Chinese participants of the Singapore Chinese Health Study cohort aged 45-74 years at baseline. Usual diet at baseline was evaluated by a validated 165-item semi-quantitative food frequency questionnaire. Physician-diagnosed T2D was self-reported during two follow-up interviews. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs).

resultsDuring a mean follow-up of 11 years, 5207 incident cases of T2D were documented. Rice intake was not associated with higher T2D risk [HR for extreme quintiles, 0.98 (95% CI 0.90, 1.08)] despite the large variation in intake levels (median intake for extreme quintiles: 236.5 g/day vs. 649.3 g/day), although the precise risk estimate depended greatly on the substitute food. Replacing one daily serving of rice with noodles [HR 1.14 (95% CI 1.07, 1.22)], red meat [HR 1.40 (95% CI 1.23, 1.60)] and poultry [HR 1.37 (95% CI 1.18, 1.59)] was associated with higher T2D risk, whereas the replacement of rice with white bread [HR 0.90 (95% CI 0.85, 0.94)] or wholemeal bread [HR 0.82 (95% CI 0.75, 0.90)] was associated with lower T2D risk.

conclusionsHigher rice consumption was not substantially associated with a higher risk of T2D in this Chinese population. Recommendations to reduce high white rice consumption in Asian populations for the prevention of T2D may only be effective if substitute foods are considered carefully. CLINICAL TRIAL REGISTRY NUMBER AND WEBSITE: NCT03356340, http://www.clinicaltrials.gov.

Indexed as

OryzaAgedCohort StudiesDiabetes Mellitus, Type 2DietFemaleFollow-Up StudiesHumansInterviews as TopicMaleMiddle AgedPrevalenceProspective StudiesRisk AssessmentSingaporeSurveys and QuestionnairesBreadGrainsNoodlesRefined grainsRiceType 2 diabetes

Identifiers

PMID30535795
PMCPMC9161177
OpenAlexW2905050772

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.