Evidence map›Paper›PMID 34980592›Full record

ArticleBMJ open diabetes research & care2022

Effect of the interaction between physical activity and estimated macronutrient intake on HbA1c: population-based cross-sectional and longitudinal studies.

Takuma Furukawa, Yuichiro Nishida, Megumi Hara, Chisato Shimanoe, Kayoko Koga, Chiharu Iwasaka, Yasuki Higaki, Keitaro Tanaka, Ryoko Nakashima, Hiroaki Ikezaki and 22 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 40% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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 at 13 institutions in 1 country.

Takuma FurukawaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan sr0753@cc.saga-u.ac.jp.ORCID 0000-0001-7152-5443
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Chisato ShimanoeDepartment of Pharmacy, Saga University Hospital, Saga, Japan.
Kayoko KogaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Chiharu IwasakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Yasuki HigakiLaboratory of Exercise Physiology, Faculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Ryoko NakashimaDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan.
Hiroaki IkezakiDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yasufumi KatoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yudai TamadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Keitaro MatsuoDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.
Haruo MikamiCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Miho KusakabeCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Rie IbusukiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Keiichi ShibuyaDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Hiroko Nakagawa-SendaDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Daisuke MatsuiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Yasuyuki NakamuraDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Kokichi ArisawaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Sakurako Katsuura-KamanoDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kenji TakeuchiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Japan Multi-Institutional Collaborative Cohort (J-MICC) Study Group
Saga University · JPNagoya University · JPAichi Cancer Center · JPChiba Cancer Center · JPKagoshima University · JPKyoto Prefectural University of Medicine · JPNagoya City University · JPShiga University of Medical Science · JPTokushima University · JPFukuoka University · JPKyushu University · JPKyushu University Hospital · JPUniversity of Shizuoka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealthy diet and physical activity (PA) are essential for preventing type 2 diabetes, particularly, a combination of diet and PA. However, reports on interaction between PA and diet, especially from large epidemiological studies, are limited. We investigated the effect of interaction between PA and macronutrient intake on hemoglobin A1c (HbA1c) levels in the general population. RESEARCH DESIGN AND

methodsWe conducted a cross-sectional study of 55 469 men and women without diabetes who participated in the baseline survey of the Japan Multi-Institutional Collaborative Cohort Study. A self-administered questionnaire ascertained PA and macronutrient intake (carbohydrate, fat, and protein). Multiple linear regression analyses were performed to adjust for confounding variables and examine the interactions. In addition, we conducted a longitudinal study during a 5-year period within a subcohort (n=6881) with accelerometer-assessed PA data.

resultsOverall, PA had a weak inverse association (β=-0.00033, p=0.049) and carbohydrate intake had a strong positive association (β=0.00393, p<0.001) with HbA1c. We observed a tendency of interactions between PA and carbohydrate or fat intake, but not protein intake, on HbA1c levels after adjusting for age, sex, study area, total energy intake, alcohol consumption, smoking, and medication for hypertension or hypercholesterolemia (P

conclusionsThe present results suggest that the effect of PA on HbA1c levels is modified by intake of macronutrient composition.

Indexed as

Diabetes Mellitus, Type 2Cohort StudiesCross-Sectional StudiesEatingExerciseFemaleGlycated HemoglobinHumansLongitudinal StudiesMaleGlycated Hemoglobinepidemiologyexerciseglycated hemoglobinnutrients

Identifiers

PMID34980592
PMCPMC8724736
OpenAlexW4206206429

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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.