Evidence map›Paper›PMID 41382287›Full record

ArticleNutrition journal2025

Nutrient patterns and mortality: results from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study.

Akari Matsuura, Takeshi Watanabe, Yuka Torii, Kahori Kita, Taichi Unohara, Masashi Ishizu, Jun Otonari, Hiroaki Ikezaki, Megumi Hara, Yuichiro Nishida and 20 more

Abstract readMulticenter Study
In one paragraph

Article in Nutrition journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

30 authors.

Akari MatsuuraDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan.ORCID http://orcid.org/0009-0005-7987-3422
Takeshi WatanabeDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan. watanabe.takeshi.2@tokushima-u.ac.jp.ORCID http://orcid.org/0000-0002-4532-0556
Yuka ToriiDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan.
Kahori KitaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan.
Taichi UnoharaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan.ORCID http://orcid.org/0009-0001-6685-1188
Masashi IshizuDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, 3-18-15, Kuramoto-Cho, Tokushima, 770-8503, Japan.ORCID http://orcid.org/0000-0003-1209-0878
Jun OtonariDepartment of Psychosomatic Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hiroaki IkezakiDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yasufumi KatoDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takashi MatsunagaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yuriko N KoyanagiDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Isao OzeDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.
Nobuaki MichihataCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Yohko NakamuraCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Chihaya KoriyamaDepartment of Epidemiology and Preventive Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Daisaku NishimotoSchool of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Takahiro OtaniDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Naoyuki TakashimaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Etsuko OzakiDepartment 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.
Naoko MiyagawaDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Keiko KondoNCD Epidemiology Research Center, Shiga University of Medical Science, Otsu, Japan.
Takashi TamuraDepartment 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.
J.-MICC Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe consumption of a healthy diet may play an important role in the prevention of noncommunicable diseases (NCDs). Although associations between nutrient patterns and cardiometabolic risk factors or NCDs have been examined, the associations between nutrient patterns and mortality remain unknown. The present study examined the relationships between nutrient patterns and all-cause and cause-specific mortalities in a large Japanese population.

methodsA prospective cohort analysis was performed on the data of 72,939 participants aged 35-69 years with a mean follow-up of 11.7 years in the Japan Multi-Institutional Collaborative Cohort Study. A factor analysis was applied to the energy-adjusted intakes of 21 nutrients, and 4 nutrient patterns were extracted: Factor 1 (folate, carotene, fiber, vitamin C, potassium, iron, and retinol patterns); Factor 2 (unsaturated fatty acid and vitamin E patterns); Factor 3 (saturated fatty acid, calcium, vitamin B2 and low carbohydrate patterns); and Factor 4 (sodium, protein and vitamin D patterns). A multivariable Cox proportional hazards model was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortalities according to the quartiles of nutrient patterns adjusted for potential confounders including age, sex, research site, drinking and smoking habits.

resultsDuring the follow-up period, 3,488 deaths were identified. A higher Factor 1 (folate, carotene, fiber, vitamin C, potassium, iron, and retinol) score was associated with lower all-cause (HR 0.81, 95% CI 0.73-0.90), CVD (HR 0.65, 95% CI 0.49-0.85) and cerebrovascular disease (HR 0.60, 95% CI 0.38-0.96) mortalities. The second lowest quartile group of the Factor 2 (unsaturated fatty acid and vitamin E) score was associated with lower all-cause (HR 0.86, 95% CI 0.79-0.94) and cancer (HR 0.85, 95% CI 0.76-0.95) mortalities. On the other hand, a higher Factor 2 score was associated with greater cerebrovascular disease mortality (HR 1.57, 95% CI 1.03-2.40).

conclusionsThe results of the present study suggest that increased adherence to nutrient patterns rich in folate, carotene, fiber, vitamin C, potassium, iron, and retinol or moderate adherence to unsaturated fatty acids and vitamin E are associated with a decreased risk of mortality in Japanese adults.

Indexed as

DietDiet, HealthyMortalityNutrientsAdultAgedCardiovascular DiseasesCohort StudiesFemaleFollow-Up StudiesHumansJapanMaleMiddle AgedProportional Hazards ModelsProspective StudiesNutrientsCancerCardiovascular diseaseMortalityNutrient patterns

Identifiers

PMID41382287
PMCPMC12817808

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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.