scispace - formally typeset
M

Masato Nagai

Researcher at Tohoku University

Publications -  48
Citations -  2472

Masato Nagai is an academic researcher from Tohoku University. The author has contributed to research in topics: Cohort study & Prospective cohort study. The author has an hindex of 21, co-authored 48 publications receiving 2167 citations. Previous affiliations of Masato Nagai include Fukushima Medical University.

Papers
More filters
Journal ArticleDOI

Association between Body-Mass Index and Risk of Death in More Than 1 Million Asians

TL;DR: Underweight was associated with a substantially increased risk of death in all Asian populations, however, the excess risk of died was seen among East Asians but not among Indians and Bangladeshis.
Journal ArticleDOI

Body Mass Index and Diabetes in Asia: A Cross-Sectional Pooled Analysis of 900,000 Individuals in the Asia Cohort Consortium

TL;DR: The positive association between BMI and diabetes prevalence was present in all cohorts and in all subgroups of the study population, although the association was stronger in individuals below age 50 at baseline.
Journal ArticleDOI

Coffee Consumption and Mortality Due to All Causes, Cardiovascular Disease, and Cancer in Japanese Women

TL;DR: Coffee may have favorable effects on morality due to all causes and to CVD, especially CHD, in women in women, according to the Miyagi Cohort Study.
Journal ArticleDOI

Cohort Profile: Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study (TMM BirThree Cohort Study): rationale, progress and perspective.

TL;DR: This poster presents a probabilistic procedure to assess the likelihood of a person suffering from multiple organ failure and its effects on the quality of life and mortality in the event of such a situation.
Journal Article

[Validation of the Kihon Checklist for predicting the risk of 1-year incident long-term care insurance certification: the Ohsaki Cohort 2006 Study].

TL;DR: All items and criteria used for screening frail elderly in the Kihon Checklist are useful for predicting the risk of incident long-term care insurance certification during a one-year period, however, the strength of the relation and accuracy for screening test were variable among items or domains, and criteria values could be improved.