Evidence map›Paper›PMID 36839398›Full record

ArticleNutrients2023

Higher Intake of Vegetable Protein and Lower Intake of Animal Fats Reduce the Incidence of Diabetes in Non-Drinking Males: A Prospective Epidemiological Analysis of the Shika Study.

Aya Ogawa, Hiromasa Tsujiguchi, Masaharu Nakamura, Koichi Hayashi, Akinori Hara, Keita Suzuki, Sakae Miyagi, Takayuki Kannon, Chie Takazawa, Jiaye Zhao and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2023. 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
1.2field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

18 authors at 4 institutions in 1 country.

Aya OgawaDepartment of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-4422-2567
Hiromasa TsujiguchiDepartment of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0001-7511-0165
Masaharu NakamuraDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Koichi HayashiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Akinori HaraDepartment of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-0399-1474
Keita SuzukiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Sakae MiyagiInnovative Clinical Research Center, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-0608-7843
Takayuki KannonDepartment of Biomedical Data Science, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Aichi, Japan.ORCID 0000-0001-9866-1621
Chie TakazawaDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Jiaye ZhaoDepartment of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-7719-972X
Yasuhiro KambayashiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Yukari ShimizuDepartment of Nursing, Faculty of Health Sciences, Komatsu University, 14-1 He Mukai-Motoori-Machi, Komatsu 923-0961, Ishikawa, Japan.
Aki ShibataDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Tadashi KonoshitaThird Department of Internal Medicine, University of Fukui Faculty of Medical Sciences, 23-3 Matsuokashimoaiduki, Eiheiji 910-1104, Fukui, Japan.
Fumihiko SuzukiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-5156-9729
Hirohito TsuboiDepartment of Hygiene and Public Health, Faculty of Medicine, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.
Atsushi TajimaDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0001-6808-5491
Hiroyuki NakamuraDepartment of Public Health, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, 13-1 Takaramachi, Kanazawa 920-8640, Ishikawa, Japan.ORCID 0000-0002-4461-2098
Kanazawa University · JPFujita Health University Hospital · JPKomatsu University · JPUniversity of Fukui · JP

Funding

Japan Society for the Promotion of Science 19H03882
6 · The paper itself

Abstract

Although nutrient intake and alcohol consumption are both closely associated with the incidence of diabetes, their interrelationships remain unclear. Therefore, we herein have investigated the interrelationships among nutrient intake, alcohol consumption, and the incidence of diabetes using longitudinal data. This study included 969 residents ≥40 years living in Japan. In 2011 and 2012, a baseline study was conducted using questionnaires on basic demographics, diabetes, nutrient intake, and lifestyle habits. In 2018 and 2019, a follow-up study was performed using questionnaires and medical records on diabetes. Two-way analysis of covariance (two-way ANCOVA) was used to test the interactions of drinking habits and diabetes incidence on nutrients intake. The prospective relationship between nutrient intake at baseline and the incidence of diabetes in the follow-up stratified by drinkers and non-drinkers was evaluated using multiple logistic regression analysis. Interactions were observed for vegetable protein intake (

Indexed as

Alcohol DrinkingDiabetes MellitusAnimalsFollow-Up StudiesIncidenceMalePlant Proteins, DietaryProspective StudiesRisk FactorsPlant Proteins, Dietaryanimal fatdiabetesdrinkingvegetable protein

Identifiers

PMID36839398
PMCPMC9966791
OpenAlexW4321375853

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.