Evidence map›Paper›PMID 41405258›Full record

ArticleThe Gerontologist2025

The validity of Blue Zones demography: a response to critiques.

Steven N Austad, Giovanni M Pes

Abstract read
In one paragraph

Article in The Gerontologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Steven N AustadDepartment of Biology, University of Alabama at Birmingham, Birmingham, Alabama, United States.ORCID 0000-0003-4798-8442
Giovanni M PesDepartment of Medicine, Surgery and Pharmacy, University of Sassari, Sassari, Italy.ORCID 0000-0003-3265-2823

Funding

Sex hormones and arthritis in a long lived animal modelP30AG050886 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Jianhua Zhang · 2015 to 2026
$11.3M
Nathan Shock Centers Coordinating CenterU24AG056053 · NIA · AMERICAN FEDERATION FOR AGING RESEARCH · PI STEVEN N. AUSTAD, Stephanie Lederman · 2017 to 2026
$6.1M
HIV and Aging Research Consortium (HARC)R33AG067069 · NIA · UNIVERSITY OF WASHINGTON · PI STEVEN N. AUSTAD, Heidi M. Crane · 2020 to 2026
$4.8M
A New Translational Rat Model for Evaluating Anti-Aging InterventionsR33AG072137 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STEVEN N. AUSTAD, ARLAN G. RICHARDSON · 2024 to 2026
$2.2M
A New Translational Rat Model for Evaluating Anti-Aging InterventionsR21AG072137 · NIA · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI AUSTAD, STEVEN N., RICHARDSON, ARLAN G. · 2022 to 2023
$415k
NIA NIH HHS P30 AG050886NIA NIH HHS R21 AG072137NIA NIH HHS R33 AG067069NIA NIH HHS R33 AG072137NIA NIH HHS U24 AG056053University of Sassari, ItalyU.S. National Institute on Aging AG050886U.S. National Institute on Aging AG056053U.S. National Institute on Aging AG067069U.S. National Institute on Aging AG072137
6 · The paper itself

Abstract

Blue Zones are geographically and temporally defined areas with a history of disproportionately high concentrations of nonagenarians and centenarians. Nearly two decades ago, these zones gained international attention when the Blue Zone term was introduced in seminal articles published in Experimental Gerontology and National Geographic. Since then, numerous scientific papers have extracted valuable insights into human health from investigating the long-lived people who live there. However recently, validity of the ages of people living in the Blue Zones has been questioned. Here, we address these concerns by describing in detail the age validation process undertaken in Blue Zones and comparing it to the prevailing standards in gerontological demography. As discovered a century and a half ago, most self-reported claims of exceptional longevity are false. However, using methods developed by gerontological demographers over the past decades, the true age of people claiming exceptional longevity can be determined by cross-checking multiple independent documentary sources. This procedure minimizes, and usually eliminates, errors due to fraud, honest mistakes, poor memory, or identity switches, especially between homonymous siblings. All Blue Zones described herein have been extensively validated based on thoroughly cross-checked data from multiple independent sources plus state-of-the-art demographic methods. Consequently, age data from these Blue Zones are valid and reliable.

Indexed as

DemographyLongevityAgedAged, 80 and overFemaleHumansMaleReproducibility of ResultsAge verificationDefined geographic areasExceptional longevity

Identifiers

PMID41405258
PMCPMC12709677

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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.