Evidence map›Paper›PMID 40332087›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

From 70 to 100: The Kuakini Hawaii Centenarian Study.

Peter Martin, Leonard W Poon, Gina Lee, Hardeep K Obhi, Bradley J Willcox, Kamal H Masaki

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 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

6 authors.

Peter MartinIowa State University, Ames, Iowa, USA.
Leonard W PoonUniversity of Georgia, Athens, Georgia, USA.
Gina LeeUniversity of Wisconsin, Madison, Wisconsin, USA.ORCID 0000-0002-3148-1586
Hardeep K ObhiUniversity of California at Davis, Davis, California, USA.
Bradley J WillcoxKuakini Medical Center, Honolulu, Hawaii, USA.ORCID 0000-0001-9890-3520
Kamal H MasakiKuakini Medical Center, Honolulu, Hawaii, USA.ORCID 0000-0003-1170-3118

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Epidemiology of Brain Aging in the Very OldU01AG019349 · NIA · KUAKINI MEDICAL CENTER · PI WHITE, LON RAY · 2001 to 2011
$14.0M
Productive and Leisure Activities and Cognition in Later LifeP20GM125526 · NIGMS · KUAKINI MEDICAL CENTER · PI WILLCOX, BRADLEY JOHN · 2019 to 2023
$12.0M
FOXO3 Genotype, InflammAging, Cardiovascular Disease, and Dementia. Kuakini Hawaii Lifespan Study III. Administrative Supplement.R01AG027060 · NIA · KUAKINI MEDICAL CENTER · PI Gregory J. Tranah, BRADLEY JOHN WILLCOX · 2005 to 2026
$8.1M
POPULATION, LIFE COURSE, AND AGINGT32AG000129 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1986 to 2026
$6.0M
Energy-sensing Pathways, Healthy Aging and LongevityR01AG038707 · NIA · KUAKINI MEDICAL CENTER · PI WILLCOX, BRADLEY JOHN · 2011 to 2014
$1.4M
HONOLULU HEART PROGRAMN01HC005102 · HC · KUAKINI MEDICAL CENTER · PI CURB, JESS DAVID · 1990 to 1997
–
Kuakini Center of Biomedical Research Excellence for Clinical and Translational Research on AgingKuakini Medical CenterNHLBI NIH HHS N01 HC005102NHLBI NIH HHS N01-HC-05102NIA NIH HHS P30 AG017266NIA NIH HHS R01 AG027060NIA NIH HHS R01AG027060NIA NIH HHS R01 AG038707NIA NIH HHS R01AG038707NIA NIH HHS T32 AG000129NIA NIH HHS U01 AG019349NIGMS NIH HHS 1P20GM125526NIGMS NIH HHS P20 GM125526NIH HHS N01-AG-4-2149United States Department of Agriculture, Hatch Project IOW05699
6 · The paper itself

Abstract

backgroundPast research has highlighted the association of family longevity, support, functioning, and health and well-being factors in predicting longevity. Based on the Georgia Adaptation Model that examined the impact of clusters of bio-psycho-social predictors on extreme longevity and adaptation, the current study aimed to employ 7 clusters of behavioral and social predictors on longevity of Japanese-American men from Hawaii.

methodsA sample of 3 734 men (Mage = 77.82 years) from the Kuakini Honolulu Heart Program was included in this research. We focused on 3 research questions. One, WHO survived to their 70s, 80s, 90s, and 100s? Two, WHAT behavioral and social predictors were found to predict survivors of the different ages? Three, are the survival predictors the same or different for the Japanese-American men compared to extant findings in the literature?

resultsOur results demonstrated 4 distinct groups of survivors (70s, 80s, 90s, and 100+) and highlighted differentiating characteristics among groups. Moreover, regression analyses suggested that cognition, activity of daily living functioning, health behaviors, diabetes, and father's age at death were significantly associated with longevity. Finally, survival characteristics found among the Japanese-American men replicated many findings reported in the literature.

conclusionsThe results indicate that there are individual differences for survivors in the Kuakini Honolulu Study, as this sample reaches 70, 80, 90, or 100 years of life.

Indexed as

LongevityActivities of Daily LivingAgedAged, 80 and overAsianHawaiiHumansMaleCentenariansHealthLongevityWell-Being

Identifiers

PMID40332087
PMCPMC12302129

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.