Evidence map›Paper›PMID 42716687›Full record

ArticleBMJ open2026

Ebetsu Active Future Study (EAFS): cognitive function and physical and mental health in elderly residents of Ebetsu City, Japan - cohort profile.

Hiroyo Kagami-Katsuyama, Naohito Ito, Makoto Hazama, Nobuyuki Toya, Takashi Wataya, Kouji Satoh, Namie Toda, Koki Kinoshita, Naoyuki Honma, Toshiya Nishibe and 22 more

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Hiroyo Kagami-KatsuyamaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.ORCID http://orcid.org/0000-0002-3591-2742
Naohito ItoDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Makoto HazamaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Nobuyuki ToyaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Takashi WatayaDepartment of Information Media, Hokkaido Information University, Ebetsu, Japan.
Kouji SatohDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Namie TodaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Koki KinoshitaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Naoyuki HonmaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Toshiya NishibeDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Hiroki SatohDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Kazuhiro KoshinoDepartment of Systems and Informatics, Hokkaido Information University, Ebetsu, Japan.
Seiji SaitoDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Fumio ChibaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Hiroki HattoriDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Akihiko OgataDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Naoaki TanakaDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan.
Mari Maeda-YamamotoInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan.
Hiromi KimotoInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan.
Mijin KimInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan.
Miyuki Kumano-KuramochiInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan.
Toshiro KoboriInstitute of Food Research, National Agriculture and Food Research Organization, Tsukuba, Japan.
Tsukasa TakeuchiAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.ORCID http://orcid.org/0009-0008-9711-8377
Yoshihiro InoueAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.
Shin NakamuraAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.
Yoshihiro MinaiAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.
Satoshi YomotaAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.
Sadanori SekiyaKoichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.ORCID http://orcid.org/0000-0002-2713-3247
Naoki KanekoKoichi Tanaka Mass Spectrometry Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
Mikihiro YamanakaTechnology Research Laboratory, Shimadzu Corporation, Kyoto, Japan.
Tairo OguraAnalytical & Measuring Instruments Division, Shimadzu Corporation, Kyoto, Japan.
Jun NishihiraDepartment of Medical Management and Informatics, Hokkaido Information University, Ebetsu, Japan nishihira@do-johodai.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEbetsu Active Future Study (EAFS) conducts comprehensive annual surveys of individuals who are independent in activities of daily living (ADLs) to track age-related physical and mental changes. These surveys include a variety of assessments such as cognitive function tests, physical function tests, blood tests, self-administered questionnaires about lifestyle and health, and interviews regarding medical and family history. In addition, serum, plasma and DNA samples from these assessments are stored at -80°C to facilitate future analyses and accommodate the potential addition of new measurement items. The purposes of this study are: (1) to identify potential blood-based biomarkers applicable to the detection of various types of mild cognitive impairment (MCI), (2) to explore diet-based strategies for preventing MCI and the progression of dementia, (3) to examine the relationship between urban characteristics, individual attributes and healthy life expectancy in Ebetsu City and (4) to return the research findings to the city.

participantsFrom August to October 2023, EAFS invited Ebetsu residents to participate in the study. As a result, 1340 individuals applied and 1189 residents aged between 55 and 75 years who were independent in ADLs participated in the baseline survey for the first year. FINDINGS TO DATE: EAFS initiated a follow-up of 1189 participants (38.9% male; 64.5±5.6 years) in the baseline year of 2023 and maintained a high follow-up rate of 98.5% by wave 3 (2025). The Montreal Cognitive Assessment-Japanese demonstrated that 53.6% of the participants had operational MCI. The proportion of participants with operational MCI increased with ageing. Regarding the FUTURE PLANS: EAFS will conduct annual follow-up surveys until 2032. In addition to analysing data for each objective, we also plan to perform further analysis of the stored specimens.

Indexed as

CognitionCognitive DysfunctionMental HealthActivities of Daily LivingAgedBiomarkersCohort StudiesDementiaFemaleGeriatric AssessmentHumansJapanLife ExpectancyMaleMiddle AgedBiomarkersAgingEPIDEMIOLOGIC STUDIESHealth SurveysNUTRITION & DIETETICSObservational Study

Identifiers

PMID42716687
PMCPMC13560968

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.