Research Paper Volume 8, Issue 3 pp 510—519
Centenarians’ offspring as a model of healthy aging: a reappraisal of the data on Italian subjects and a comprehensive overview
- 1 Department of Experimental, Diagnostic and Specialty Medicine (DIMES) and Interdepartmental Centre “L. Galvani” (CIG), University of Bologna, 40126 Bologna, Italy
- 2 Department of Clinical Sciences and Community Health (DISCCO), University of Milan, 20122 Milan, Italy
- 3 Laboratory of Endocrine and Metabolic Research, IRCCS Istituto Auxologico Italiano, Cusano Milanino (MI) 20095, Italy
- 4 Geriatric Unit, Fondazione Ca' Granda, IRCCS Ospedale Maggiore Policlinico, 20122 Milan, Italy
- 5 Department of Pathobiology and Medical and Forensic Biotechnologies, University of Palermo, 90134 Palermo, Italy
- 6 Department of Clinical and Experimental Medicine, University of Parma, 43126 Parma, Italy
- 7 Endocrinology Unit, and Department of Medical and Surgical Sciences and Center for Applied Biomedical Sciences, St Orsola-Malpighi Hospital, University of Bologna, 40138 Bologna, Italy
- 8 Department of Statistical Sciences “Paolo Fortunati”, University of Bologna, 40126 Bologna, Italy
- 9 Department of Clinical, Experimental and Biomedical Sciences, University of Florence, 50134 Florence, Italy
Received: February 9, 2016 Accepted: February 11, 2016 Published: March 12, 2016
https://doi.org/10.18632/aging.100912How to Cite
Abstract
Within the scenario of an increasing life expectancy worldwide it is mandatory to identify determinants of healthy aging. Centenarian offspring (CO) is one of the most informative model to identify trajectories of healthy aging and their determinants (genetic and environmental), being representative of elderly in their 70th whose lifestyle can be still modified to attain a better health. This study is the first comprehensive investigation of the health status of 267 CO (mean age: 70.2 years) and adopts the innovative approach of comparing CO with 107 age-matched offspring of non-long-lived parents (hereafter indicated as NCO controls), recruited according to strict inclusion demographic criteria of Italian population. We adopted a multidimensional approach which integrates functional and cognitive assessment together with epidemiological and clinical data, including pro- and anti-inflammatory cytokines and adipokines, lipid profile, and insulin resistance. CO have a lower prevalence of stroke, cerebral thrombosis-hemorrhage, hypertension, hypercholesterolemia, and other minor diseases, lower BMI and waist circumference, a better functional and cognitive status and lower plasma level of FT4 compared to NCO controls. We conclude that a multidimensional approach is a reliable strategy to identify the health status of elderly at an age when interventions to modify their health trajectory are feasible.