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Life-Course Pathways to Exceptional Longevity: Evidence From the Lothian Birth Cohort of 1921.
Corley, Janie; Pattie, Alison; Batty, G David; Cox, Simon R; Deary, Ian J.
Affiliation
  • Corley J; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
  • Pattie A; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
  • Batty GD; Department of Epidemiology and Public Health, University College London, London, UK.
  • Cox SR; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
  • Deary IJ; Lothian Birth Cohorts, Department of Psychology, University of Edinburgh, Edinburgh, UK.
Article in En | MEDLINE | ID: mdl-38941261
ABSTRACT

BACKGROUND:

Longevity, 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.

METHODS:

We 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.

RESULTS:

During 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.

CONCLUSIONS:

In 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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Longevity Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2024 Document type: Article Affiliation country: United kingdom Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Longevity Limits: Aged / Aged80 / Female / Humans / Male Language: En Journal: J Gerontol A Biol Sci Med Sci Journal subject: GERIATRIA Year: 2024 Document type: Article Affiliation country: United kingdom Country of publication: United States