Evidence map›Paper›PMID 34684444›Full record

ArticleNutrients2021

Secular Trends in Dietary Intake over a 20-Year Period in People with Type 2 Diabetes in Japan: A Comparative Study of Two Nationwide Registries; Japan Diabetes Complications Study (JDCS) and Japan Diabetes Clinical Data Management Study (JDDM).

Mizuki Takeuchi, Chika Horikawa, Mariko Hatta, Yasunaga Takeda, Rina Nedachi, Izumi Ikeda, Sakiko Morikawa, Noriko Kato, Hiroki Yokoyama, Rei Aida and 7 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

17 authors at 10 institutions in 1 country.

Mizuki TakeuchiDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.
Chika HorikawaDepartment of Health and Nutrition, Faculty of Human Life Studies, University of Niigata Prefecture, Niigata 950-8680, Japan.ORCID 0000-0003-4213-0252
Mariko HattaSaiseikai Niigata Hospital, Niigata 950-1104, Japan.
Yasunaga TakedaDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.
Rina NedachiDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.
Izumi IkedaDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.
Sakiko MorikawaDepartment of Food Science and Dietetics, Faculty of Human Life Studies, Tokushima Bunri University, Tokushima 770-8514, Japan.ORCID 0000-0002-1657-3140
Noriko KatoKato Clinic of Internal Medicine, Tokyo 125-0054, Japan.ORCID 0000-0003-2540-8048
Hiroki YokoyamaJiyugaoka Medical Clinic, Obihiro 080-0016, Japan.
Rei AidaSchool of Medicine, Osaka City University, Osaka 545-8585, Japan.
Shiro TanakaDepartment of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan.
Chiemi KamadaFaculty of Human Life Science, Shikoku University, Tokushima 771-1192, Japan.
Yukio YoshimuraFaculty of Human Life Science, Shikoku University, Tokushima 771-1192, Japan.
Toshiko SaitoDepartment of Health and Nutrition, Niigata University of Health and Welfare, Niigata 950-3198, Japan.
Kazuya FujiharaDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.
Atsushi ArakiDepartment of Diabetes, Metabolism and Endocrinology, Tokyo Metropolitan Geriatric Hospital, Tokyo 173-0015, Japan.ORCID 0000-0001-9088-2841
Hirohito SoneDepartment of Hematology, Endocrinology and Metabolism, Faculty of Medicine, Niigata University, Niigata 951-8510, Japan.ORCID 0000-0003-1263-2817
Niigata University · JPNiigata University of Health and Welfare · JPShikoku University · JPHoshigaoka Medical Center · JPKyoto University · JPOsaka City University · JPSaiseikai Niigata Daini Hospital · JPTokushima Bunri University · JPTokyo Metropolitan Geriatric Hospital · JPUniversity of Niigata Prefecture · JP

Funding

The Japan Society for the Promotion of Science N/AThe Ministry of Health, Labour and Welfare N/A
6 · The paper itself

Abstract

backgroundIn order to provide effective dietary guidance, it is necessary to consider dietary intake, which can change over time. This study analyzed changes in the diet of Japanese patients with type 2 diabetes over a 20-year period.

methodsWe compared the results of two dietary surveys that used the food frequency questionnaire format. The first was conducted in 1996 by the Japan Diabetes Complications Study (JDCS) (

resultsOver a 20-year period, both men and women with type 2 diabetes had a significant increase in body mass index (BMI). Nonetheless, there was only a small change in energy intake. Conversely, there was a significant increase in fat intake and thus in the fat-to-energy ratio. With regard to food groups, there was a significant increase in meat intake and a decrease in the intake of fish, soybeans/soy products, vegetables, and fruits, with a particularly significant decrease in vegetables.

conclusionsEven in Japan, an industrialized country with a stable socioeconomic environment, there were many significant changes in the dietary intake of patients with type 2 diabetes over the 20-year period.

Indexed as

DietEnergy IntakeFeeding BehaviorAgedBiomarkersBody Mass IndexDiabetes Mellitus, Type 2Disease SusceptibilityFemaleHumansJapanMaleMiddle AgedPublic Health SurveillanceRegistriesBiomarkersAsiadiabetes mellitusfood intakeobesitytype 2 diabetes

Identifiers

PMID34684444
PMCPMC8538089
OpenAlexW3203941290

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.