Heterogeneity of healthy aging: comparing long-lived families across five healthy aging phenotypes of blood pressure, memory, pulmonary function, grip strength, and metabolism

for the Long Life Family Study

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Five healthy aging phenotypes were developed in the Long Life Family Study to uncover longevity pathways and determine if healthy aging across multiple systems clustered in a subset of long-lived families. Using blood pressure, memory, pulmonary function, grip strength, and metabolic measures (body mass index, waist circumference and fasting levels of glucose, insulin, triglycerides, lipids, and inflammatory markers), offspring were ranked according to relative health using gender-, age-, and relevant confounder-adjusted z-scores. Based on our prior work, families met a healthy aging phenotype if ≥ 2 and ≥ 50% of their offspring were exceptionally healthy for that respective phenotype. Among 426 families, only two families met criteria for three healthy aging phenotypes and none met criteria for four or more healthy aging phenotypes. Using Spearman correlation, the proportion of offspring within families with exceptionally healthy pulmonary function was correlated with the proportion of offspring within families with exceptional strength (r = 0.19, p = 0.002). The proportion of offspring within families meeting the healthy blood pressure and metabolic phenotypes were also correlated (r = 0.14, p = 0.006), and more families were classified as meeting healthy blood pressure and metabolic phenotypes (Kappa = 0.10, p = 0.02), as well as the healthy pulmonary and blood pressure phenotypes than expected by chance (Kappa = 0.09, p = 0.03). Other phenotypes were weakly correlated (|r| ≤ 0.07) with low pairwise agreement (Kappa ≤ 0.06). Among these families selected for familial longevity, correspondence between healthy aging phenotypes was weak, supporting the heterogeneous nature of longevity and suggesting biological underpinnings of each individual phenotype should be examined separately to determine their shared and unique determinants.

Original languageEnglish (US)
Pages (from-to)383-393
Number of pages11
JournalGeroScience
Volume41
Issue number4
DOIs
StatePublished - Aug 1 2019

Bibliographical note

Funding Information:
This work was supported by the National Institute on Aging at National Institutes of Health cooperative agreements U01-AG023712, U01-AG23744, U01-AG023746, U01-AG023749, and U01-AG023755. Megan Marron is supported on the Epidemiology of Aging training grant at the University of Pittsburgh (National Institute on Aging at National Institutes of Health T32-AG0001810). Dr. Svetlana is additionally supported by the National Institute on Aging of the National Institutes of Health P01 AG043352. Dr. Newman is supported by funding from National Institute of Aging R01 AG023629 Exceptional Survival: Trajectories to Functional Aging (CHS All Stars) and P30 AG024827 Pittsburgh Claude D. Pepper Older Americans Independence Center.

Publisher Copyright:
© 2019, American Aging Association.

Keywords

  • Familial longevity
  • Healthy aging

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