SynthesisJournal of diabetes investigation2016
Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: A meta-analysis.
Synthesis in Journal of diabetes investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 165 papers, 15 of them syntheses that pooled 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.
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.
Who cites it
165 citing papers in PubMed, 15 syntheses or guidelines pooled it, 321 citations in OpenAlex.
- Effects of Dietary Fruit and Vegetable Consumption on Prediabetes: A Systematic Review and Meta-Analysis.Nutrients · 2026Pooled it
- The Longitudinal Evidence on Social Ties and Fruit and Vegetable Intake among Aging Adults: A Systematic Review.Nutrition reviews · 2025Pooled it
- Association between adhering to a dietary approach to stop hypertension and risk of colorectal cancer: a systematic review and meta-analysis.BMC gastroenterology · 2025Pooled it
- Umbrella Review of Systematic Reviews and Meta-Analyses on Consumption of Different Food Groups and Risk of Type 2 Diabetes Mellitus and Metabolic Syndrome.The Journal of nutrition · 2025Pooled it
- Impact of Fruit and Vegetable Incentive Programs on Food Insecurity, Fruit and Vegetable Consumption, and Health Outcomes: A Community Guide Systematic Review.American journal of preventive medicine · 2025Pooled it
- Pooled it
- Berry Dietary Interventions in Metabolic Syndrome: New Insights.Nutrients · 2023Pooled it
- Effect of Lycopene Intake on the Fasting Blood Glucose Level: A Systematic Review with Meta-Analysis.Nutrients · 2022Pooled it
- Pooled it
- Dietary Intake and Circulating Concentrations of Carotenoids and Risk of Type 2 Diabetes: A Dose-Response Meta-Analysis of Prospective Observational Studies.Advances in nutrition (Bethesda, Md.) · 2021Pooled it
- Preventive Role of Diet Interventions and Dietary Factors in Type 2 Diabetes Mellitus: An Umbrella Review.Nutrients · 2020Pooled it
- Role of diet in type 2 diabetes incidence: umbrella review of meta-analyses of prospective observational studies.BMJ (Clinical research ed.) · 2019Pooled it
- Risk factors for type 2 diabetes mellitus: An exposure-wide umbrella review of meta-analyses.PloS one · 2018Pooled it
- Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies.European journal of epidemiology · 2017Pooled it
- Higher intake of fruits, vegetables or their fiber reduces the risk of type 2 diabetes: A meta-analysis.Journal of diabetes investigation · 2016Pooled it
- Simultaneous consumption of vegetable salad with bread attenuates postprandial serum glucose elevation in healthy adults: a single-ingestion open-label crossover trial.BMC research notes · 2026Trial
- Randomized Controlled Trial Outcomes for HomeStyles-2, an Online Obesity Prevention Program for Families with Children in Middle Childhood.Nutrients · 2026Trial
- Trial
- Beneficial Effects of a Freeze-Dried Kale Bar on Type 2 Diabetes Patients: A Randomized, Double-Blinded, Placebo-Controlled Clinical Trial.Nutrients · 2024Trial
- Combination of Texture-Induced Oral Processing and Vegetable Preload Strategy Reduced Glycemic Excursion but Decreased Insulin Sensitivity.Nutrients · 2022Trial
105 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AIMS/
introductionSome previous studies reported no significant association of consuming fruit or vegetables, or fruit and vegetables combined, with type 2 diabetes. Others reported that only a greater intake of green leafy vegetables reduced the risk of type 2 diabetes. To further investigate the relationship between them, we carried out a meta-analysis to estimate the independent effects of the intake of fruit, vegetables and fiber on the risk of type 2 diabetes. MATERIALS AND
methodsSearches of MEDLINE and EMBASE for reports of prospective cohort studies published from 1 January 1966 to 21 July 2014 were carried out, checking reference lists, hand-searching journals and contacting experts.
resultsThe primary analysis included a total of 23 (11 + 12) articles. The pooled maximum-adjusted relative risk of type 2 diabetes for the highest intake vs the lowest intake were 0.91 (95% confidence interval [CI] 0.87-0.96) for total fruits, 0.75 (95% CI 0.66-0.84) for blueberries, 0.87 (95% CI 0.81-0.93) for green leafy vegetables, 0.72 (95% CI 0.57-0.90) for yellow vegetables, 0.82 (95% CI 0.67-0.99) for cruciferous vegetables and 0.93 (95% CI 0.88-0.99) for fruit fiber in these high-quality studies in which scores were seven or greater, and 0.87 (95% CI 0.80-0.94) for vegetable fiber in studies with a follow-up period of 10 years or more.
conclusionsA higher intake of fruit, especially berries, and green leafy vegetables, yellow vegetables, cruciferous vegetables or their fiber is associated with a lower risk of type 2 diabetes.
Indexed as
Identifiers
What OpenQuestion holds
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.