ArticleJournal of epidemiology2021
Study Profile of the Japan Multi-institutional Collaborative Cohort (J-MICC) Study.
Article in Journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.
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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
64 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.
- GWAS Meta-analysis of Kidney Function Traits in Japanese Populations.Journal of epidemiology · 2024Pooled it
- High incidence of colorectal cancer in Japanese individuals with hypertension.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- Triangulating Evidence on Serum Uric Acid and Cancer Risk: Consistent Inverse Associations With Lung Cancer.Cancer science · 2026Article
- Search for Novel Biomarkers to Predict Cytochrome P450 2C19 Activity Using Untargeted Metabolomics of Human Plasma.Metabolites · 2026Article
- Validation of self-reported fractures in a follow-up survey of the Japan Multi-Institutional Collaborative Cohort study.Annals of clinical epidemiology · 2026Article
- Effects of ABCG2 dysfunction on hyperuricemia progression in premenopausal and postmenopausal women.Human cell · 2026Article
- Reply to the correspondence regarding our original paper "Integration of polygenic risk score with measured blood pressure reveals hidden risks of cardiovascular disease mortality: A Japanese prospective cohort study".Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- A polymorphism in theNagoya journal of medical science · 2026Article
- Predictive performance of breast cancer polygenic risk scores from diverse ancestries: a prospective study in Japanese women.Breast cancer research : BCR · 2026Article
- SLC52A1 is a neofunctionalized primate urate transporter enabling intestinal urate secretion.The Journal of biological chemistry · 2026Article
- Japanese cancer survivors have a higher risk of fragility fractures over ten years.Scientific reports · 2026Article
- Integration of polygenic risk score with measured blood pressure reveals hidden risks of cardiovascular disease mortality: A Japanese prospective cohort study.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
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- ME-BYO index as a formative construct for healthy ageing: a cross-sectional PLS-SEM analysis.Scientific reports · 2025Article
- Nutrient patterns and mortality: results from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study.Nutrition journal · 2025Article
- Associations of vegetable and fruit consumption with all-cause and cause-specific mortality in the Japanese population: the Japan multi-institutional collaborative cohort study.Nutrition journal · 2025Article
- Dietary acid load and mortality in the Japan Multi-Institutional Collaborative Cohort Study.Scientific reports · 2025Article
- Dietary diversity and the risk of metabolic syndrome in a Japanese population: an analysis of baseline cross-sectional data from the J-MICC study.European journal of clinical nutrition · 2025Article
- Coffee intake, genetic variants, and chronic kidney disease: a cross-sectional analysis of the Japan Multi-Institutional Collaborative Cohort (J-MICC) study.European journal of nutrition · 2025Article
4 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
48 authors at 20 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe Japan Multi-institutional Collaborative Cohort (J-MICC) study was launched in 2005 to examine gene-environment interactions in lifestyle-related diseases, including cancers, among the Japanese. This report describes the study design and baseline profile of the study participants.
methodsThe participants of the J-MICC Study were individuals aged 35 to 69 years enrolled from respondents to study announcements in specified regions, inhabitants attending health checkup examinations provided by local governments, visitors at health checkup centers, and first-visit patients at a cancer hospital in Japan. At the time of the baseline survey, from 2005 to 2014, we obtained comprehensive information regarding demographics, education, alcohol consumption, smoking, sleeping, exercise, food intake frequency, medication and supplement use, personal and family disease history, psychological stress, and female reproductive history and collected peripheral blood samples.
resultsThe baseline survey included 92,610 adults (mean age: 55.2 [standard deviation, 9.4] years, 44.1% men) from 14 study regions in 12 prefectures. The participation rate was 33.5%, with participation ranging from 19.7% to 69.8% in different study regions. The largest number of participants was in the age groups of 65-69 years for men and 60-64 years for women. There were differences in body mass index, educational attainment, alcohol consumption, smoking, and sleep duration between men and women.
conclusionsThe J-MICC Study collected lifestyle and clinical data and biospecimens from over 90,000 participants. This cohort is expected to be a valuable resource for the national and international scientific community in providing evidence to support longer healthy lives.
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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.