Evidence map›Paper›PMID 38941261›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Life-Course Pathways to Exceptional Longevity: Evidence From the Lothian Birth Cohort of 1921.

Janie Corley, Alison Pattie, G David Batty, Simon R Cox, Ian J Deary

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Combinations of light, moderate, and vigorous physical activity in midlife and old age: implications for healthy cognitive aging.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    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

5 authors.

Janie CorleyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7551-1871
Alison PattieLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
G David BattyDepartment of Epidemiology and Public Health, University College London, London, UK.ORCID 0000-0003-1822-5753
Simon R CoxLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Ian J DearyLothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.

Funding

Evaluating Longitudinal Changes in the Human Structural Connectome in Relation to Cognitive AgingR01AG054628 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI TUCKER-DROB, ELLIOT MAX · 2017 to 2021
$2.7M
Age UKBiotechnology and Biological Sciences Research CouncilBiotechnology and Biological Sciences Research Council 15/SAG09977Chief Scientist Office of the Scottish Executive Health Department CZB/4/505Economic and Social Research Council BB/W008793/1Medical Research Council G0701120NIA NIH HHS R01 AG054628NIH HHS R01AG054628Royal Society 221890/Z/20/ZWellcome Trust
6 · The paper itself

Abstract

backgroundLongevity, a hallmark of successful aging, is a multifactorial trait with influences from birth onwards. However, limited evidence exists on the pathways linking diverse life-course exposures to longevity, especially within a single cohort.

methodsWe investigated associations between life-course factors and longevity among community-dwelling adults aged 79 (N = 547) from the Lothian Birth Cohort 1921 with a mortality follow-up of 24 years. Cox proportional hazards and structural equation (path) models were used to explore how factors from early life (social class, childhood intelligence quotient [IQ], education), midlife (social class), and later life (health, lifestyle, psychosocial well-being), as well as sex, personality, and apolipoprotein E e4 status, influence survival time in days.

resultsDuring follow-up (1999-2023), 538 participants (98%) died (mean age of death = 89.3 years) and 9 survived (mean age = 101.6 years). Factors associated with lower mortality risk in the multivariable Cox model were higher cognitive function (hazard ratio [HR] = 0.72; 95% confidence interval [CI]: 0.59-0.88), better physical function (HR = 0.61; 95% CI: 0.44-0.85), and greater physical activity (HR = 0.81; 95% CI: 0.71-0.92), while history of cancer was associated with higher mortality risk (HR = 1.84; 95% CI: 1.22-2.77). The life-course path model identified the same direct predictors, with additional contributions from female sex and nonsmoking status, to greater longevity. Early- and midlife factors (IQ, education, social class), and emotional stability, conscientiousness, and female sex, were indirectly and positively associated with survival trajectories via multiple dimensions of adult health.

conclusionsIn understanding why people live to very old ages it is necessary to consider factors from throughout the life course, and to include demographic, psychosocial, and health variables.

Indexed as

LongevityAgedAged, 80 and overAgingBirth CohortFemaleHumansLife StyleMaleProportional Hazards ModelsSocial ClassHealthLongitudinalMortalityPredictorsSurvival

Identifiers

PMID38941261
PMCPMC11285160

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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.