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Familial aggregation of the aging process: biological age measured in young adult offspring as a predictor of parental mortality. GeroScience 2022; 45:901-913. [PMID: 36401109 PMCID: PMC9886744 DOI: 10.1007/s11357-022-00687-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Accepted: 11/06/2022] [Indexed: 11/20/2022] Open
Abstract
Measures of biological age (BA) integrate information across organ systems to quantify "biological aging," i.e., inter-individual differences in aging-related health decline. While longevity and lifespan aggregate in families, reflecting transmission of genes and environments across generations, little is known about intergenerational continuity of biological aging or the extent to which this continuity may be modified by environmental factors. Using data from the Jerusalem Perinatal Study (JPS), we tested if differences in offspring BA were related to mortality in their parents. We measured BA using biomarker data collected from 1473 offspring during clinical exams in 2007-2009, at age 32 ± 1.1. Parental mortality was obtained from population registry data for the years 2004-2016. We fitted parametric survival models to investigate the associations between offspring BA and parental all-cause and cause-specific mortality. We explored potential differences in these relationships by socioeconomic position (SEP) and offspring sex. Participants' BAs widely varied (SD = 6.95). Among those measured to be biologically older, parents had increased all-cause mortality (HR = 1.10, 95% CI: 1.08, 1.13), diabetes mortality (HR = 1.19, 95% CI: 1.08, 1.30), and cancer mortality (HR = 1.07, 95% CI: 1.02, 1.13). The association with all-cause mortality was stronger for families with low compared with high SEP (Pinteraction = 0.04) and for daughters as compared to sons (Pinteraction < 0.001). Using a clinical-biomarker-based BA estimate, observable by young adulthood prior to the onset of aging-related diseases, we demonstrate intergenerational continuity of the aging process. Furthermore, variation in this familial aggregation according to household socioeconomic position (SEP) at offspring birth and between families of sons and daughters proposes that the environment alters individuals' aging trajectory set by their parents.
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Shadyab AH, Manson JE, Li W, Gass M, Brunner RL, Naughton MJ, Cannell B, Howard BV, LaCroix AZ. Parental longevity predicts healthy ageing among women. Age Ageing 2018; 47:853-860. [PMID: 30124748 DOI: 10.1093/ageing/afy125] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 07/19/2018] [Indexed: 12/16/2022] Open
Abstract
Objective to examine the association of parental longevity with healthy survival to age 90 years. Methods this was a prospective study among a racially and ethnically diverse cohort of 22,735 postmenopausal women from the Women's Health Initiative recruited from 1993 to 1998 and followed through 2017. Women reported maternal and paternal ages at death and current age of alive parents. Parental survival categories were <70, 70-79 (reference), 80-89 and ≥90 years (longevity). Healthy ageing was defined as reaching age 90 without major chronic conditions (coronary heart disease, stroke, diabetes, cancer, or hip fracture) or physical limitations. Results women whose mothers survived to ≥90 years were more likely to attain healthy ageing (OR, 1.25; 95% CI, 1.11-1.42) and less likely to die before age 90 (OR, 0.75; 95% CI, 0.68-0.83). Women whose fathers survived to ≥90 years did not have significantly increased odds of healthy ageing but showed 21% (OR, 0.79; 95% CI, 0.70-0.90) decreased odds of death before age 90. Women whose mother and father both lived to 90 had the strongest odds of healthy ageing (OR, 1.38; 95% CI, 1.09-1.75) and decreased odds of death (OR, 0.68; 95% CI, 0.54-0.85). The proportion of healthy survivors was highest among women whose mother and father lived to 90 (28.6%), followed by those whose mother only lived to 90 (23.2%). Conclusions parental longevity predicted healthy ageing in a national cohort of postmenopausal women, supporting the view that genetic, environmental, and behavioral factors transmitted across generations may influence ageing outcomes among offspring.
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Affiliation(s)
- Aladdin H Shadyab
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, USA
| | - JoAnn E Manson
- Department of Epidemiology, Harvard T.H. Chan School of Public Health and Division of Preventive Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Wenjun Li
- Division of Preventive and Behavioral Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Margery Gass
- North American Menopause Society, Cleveland, OH, USA
| | - Robert L Brunner
- Department of Family and Community Medicine, University of Nevada School of Medicine, Reno, NV, USA
| | - Michelle J Naughton
- Division of Population Sciences, Department of Internal Medicine, The Ohio State University, Columbus, OH, USA
| | - Brad Cannell
- Department of Biostatistics and Epidemiology, School of Public Health, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Barbara V Howard
- MedStar Health Research Institute and Georgetown-Howard Universities Center for Clinical and Translational Science, Hyattsville, MD, USA
| | - Andrea Z LaCroix
- Division of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, USA
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Atkins JL, Pilling LC, Ble A, Dutta A, Harries LW, Murray A, Brayne C, Robine JM, Kuchel GA, Ferrucci L, Melzer D. Longer-Lived Parents and Cardiovascular Outcomes: 8-Year Follow-Up In 186,000 U.K. Biobank Participants. J Am Coll Cardiol 2018; 68:874-5. [PMID: 27539182 DOI: 10.1016/j.jacc.2016.05.072] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Revised: 05/22/2016] [Accepted: 05/24/2016] [Indexed: 11/18/2022]
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Marioni RE, Ritchie SJ, Joshi PK, Hagenaars SP, Okbay A, Fischer K, Adams MJ, Hill WD, Davies G, Nagy R, Amador C, Läll K, Metspalu A, Liewald DC, Campbell A, Wilson JF, Hayward C, Esko T, Porteous DJ, Gale CR, Deary IJ. Genetic variants linked to education predict longevity. Proc Natl Acad Sci U S A 2016; 113:13366-13371. [PMID: 27799538 PMCID: PMC5127357 DOI: 10.1073/pnas.1605334113] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Educational attainment is associated with many health outcomes, including longevity. It is also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, n = ∼115,000; and the Estonian Biobank, n = ∼6,000) to test whether education-linked genetic variants can predict lifespan length. We did so by using cohort members' polygenic profile score for education to predict their parents' longevity. Across the three cohorts, meta-analysis showed that a 1 SD higher polygenic education score was associated with ∼2.7% lower mortality risk for both mothers (total ndeaths = 79,702) and ∼2.4% lower risk for fathers (total ndeaths = 97,630). On average, the parents of offspring in the upper third of the polygenic score distribution lived 0.55 y longer compared with those of offspring in the lower third. Overall, these results indicate that the genetic contributions to educational attainment are useful in the prediction of human longevity.
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Affiliation(s)
- Riccardo E Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom;
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia
| | - Stuart J Ritchie
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Peter K Joshi
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH16 4UX, United Kingdom
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Division of Psychiatry, University of Edinburgh, Edinburgh EH8 9YL, United Kingdom
| | - Aysu Okbay
- Department of Applied Economics, Erasmus School of Economics, Erasmus University, 3062 PA Rotterdam, The Netherlands
- Department of Epidemiology, Erasmus Medical Center, 3015 CE Rotterdam, The Netherlands
- Erasmus University Rotterdam Institute for Behavior and Biology, Rotterdam 3062 PA, The Netherlands
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Mark J Adams
- Division of Psychiatry, University of Edinburgh, Edinburgh EH8 9YL, United Kingdom
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Gail Davies
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Reka Nagy
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Carmen Amador
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Kristi Läll
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Mathematical Statistics, University of Tartu, Tartu 50409, Estonia
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - David C Liewald
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
| | - Archie Campbell
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - James F Wilson
- Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH16 4UX, United Kingdom
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
- Institute of Mathematical Statistics, University of Tartu, Tartu 50409, Estonia
- Broad Institute, Cambridge, MA 02142
- Department of Endocrinology, Children's Hospital Boston, Boston, MA 02115
| | - David J Porteous
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, United Kingdom
| | - Catharine R Gale
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton SO17 1BJ, United Kingdom
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, United Kingdom
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Abstract
AbstractThe National Academy of Sciences-National Research Council (NAS-NRC) Twin Registry is one of the oldest, national population-based twin registries in the United States. It consists of 15,924 white male twin pairs born in the years 1917 to 1927 (inclusive), both of whom served in the armed forces, mostly during World War II. This article updates activity in this registry since the earlier 2002 article in Twin Research. The results of clinically based studies on dementia, Parkinson's disease, age-related macular degeneration, and primary osteoarthritis were published, as well as articles based on previously collected questionnaire data on chronic fatigue syndrome, functional limitations, and healthy aging. In addition, risk factor studies are being planned to merge clinical data with earlier collected risk factor data from questionnaires. Examination data from the subset of National Heart, Lung, and Blood Institute (NHLBI) twins resulted in a number of articles, including the relationship of endogenous sex hormones to coronary heart disease and morphological changes in aging brain structures. The NEO Five-Factor Personality Inventory (a paper-and-pencil self-administered questionnaire) has been fielded for the first time. A push to consolidate the various data holdings of the registry is being made.
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Lipton RB, Hirsch J, Katz MJ, Wang C, Sanders AE, Verghese J, Barzilai N, Derby CA. Exceptional parental longevity associated with lower risk of Alzheimer's disease and memory decline. J Am Geriatr Soc 2010; 58:1043-9. [PMID: 20487085 PMCID: PMC2950109 DOI: 10.1111/j.1532-5415.2010.02868.x] [Citation(s) in RCA: 43] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES To determine whether offspring of parents with exceptional longevity (OPEL) have a lower rate of dementia than offspring of parents with usual survival (OPUS). DESIGN Community-based prospective cohort study. SETTING Bronx, New York. PARTICIPANTS A volunteer sample of 424 community-residing older adults without dementia aged 75 to 85 recruited from Bronx County starting in 1980 and followed for up to 23 years. MEASUREMENTS Epidemiological, clinical, and neuropsychological assessments were completed every 12 to 18 months. OPEL were defined as having at least one parent who reached the age of at least 85. OPUS were those for whom neither parent reached the age of 85. Dementia was diagnosed according to case conference consensus based on Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised, criteria without access to information on parental longevity. Alzheimer's disease was diagnosed using established criteria. RESULTS Of 424 subjects, 149 (35%) were OPEL, and 275 (65%) were OPUS. Mean age at entry for both groups was 79. The OPEL group had a lower incidence of Alzheimer's disease (hazard ratio=0.57, 95% confidence interval=0.35-0.93). After adjusting for sex, education, race, hypertension, myocardial infarction, diabetes mellitus, and stroke, results were essentially unchanged. OPEL also had a significantly lower rate of memory decline on the Selective Reminding Test (SRT) than OPUS (P=.03). CONCLUSION OPEL develop dementia and Alzheimer's disease at a significantly lower rate than OPUS. Demographic and medical confounders do not explain this result. Factors associated with longevity may protect against dementia and Alzheimer's disease.
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Affiliation(s)
- Richard B. Lipton
- Einstein Aging Study, Albert Einstein College of Medicine
- Department of Neurology, Albert Einstein College of Medicine
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
- Institute of Aging Research, Albert Einstein College of Medicine
| | - Jamie Hirsch
- Department of Neurology, Albert Einstein College of Medicine
| | - Mindy J. Katz
- Einstein Aging Study, Albert Einstein College of Medicine
- Department of Neurology, Albert Einstein College of Medicine
- Institute of Aging Research, Albert Einstein College of Medicine
| | - Cuiling Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
| | - Amy E. Sanders
- Einstein Aging Study, Albert Einstein College of Medicine
- Department of Neurology, Albert Einstein College of Medicine
- Institute of Aging Research, Albert Einstein College of Medicine
| | - Joe Verghese
- Einstein Aging Study, Albert Einstein College of Medicine
- Department of Neurology, Albert Einstein College of Medicine
- Institute of Aging Research, Albert Einstein College of Medicine
| | - Nir Barzilai
- Einstein Aging Study, Albert Einstein College of Medicine
- Institute of Aging Research, Albert Einstein College of Medicine
- Department of Medicine, Albert Einstein College of Medicine
| | - Carol A. Derby
- Einstein Aging Study, Albert Einstein College of Medicine
- Department of Neurology, Albert Einstein College of Medicine
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine
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"Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS). Mech Ageing Dev 2010; 131:215-22. [PMID: 20184914 DOI: 10.1016/j.mad.2010.02.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2009] [Revised: 01/04/2010] [Accepted: 02/14/2010] [Indexed: 10/19/2022]
Abstract
While there is evidence that longevity runs in families, the study of long-lived families is complicated by the fact that longevity-related information is available only for the oldest old, many of whom may be deceased and unavailable for testing, and information on other living family members, primarily descendents, is censored. This situation requires a creative approach for analyzing determinants of longevity in families. There are likely biomarkers that predict an individual's longevity, suggesting the possibility that those biomarkers which are heritable may constitute valuable endophenotypes for exceptional survival. These endophenotypes could be studied in families to identify human longevity genes and elucidate possible mechanisms of their influence on longevity. In this paper, we analyze data collected in the Long Life Family Study (LLFS) investigating whether indicators of physiological state, cognitive functioning and health/well-being among offspring predict longevity in parents. Good predictors can be used as endophenotypes for exceptional survival. Our analyses revealed significant associations between cumulative indices describing physiological state, as well as a number of offspring phenotypes, and parental lifespan, supporting both their familial basis and relevance to longevity. We conclude that the study of endophenotypes within families is a valid approach to the genetics of human longevity.
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Abstract
Life expectancy has increased dramatically in the United States and in much of the world in recent years and decades. The factors underlying this increase are incompletely understood and are undoubtedly complex. A question that drives current research is whether life expectancy can be further extended using current knowledge of modifiable risk factors. A still more challenging research focus is on the possibility that life expectancy might be further increased through knowledge gained from studies of the basic biology of aging and its genetic and environmental modifiers.
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Affiliation(s)
- Felipe Sierra
- National Institute on Aging, National Institutes of Health, Bethesda, Maryland 20892, USA
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Jaunin J, Bochud M, Marques-Vidal P, Vollenweider P, Waeber G, Mooser V, Paccaud F. Smoking offsets the metabolic benefits of parental longevity in women: the CoLaus study. Prev Med 2009; 48:224-31. [PMID: 19138704 DOI: 10.1016/j.ypmed.2008.12.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/05/2008] [Revised: 11/18/2008] [Accepted: 12/09/2008] [Indexed: 10/21/2022]
Abstract
OBJECTIVE We evaluated whether subjects with long-lived parents show lower levels of cardiovascular risk factors, including the metabolic syndrome. METHODS We analyzed data from a Swiss population-based sample (1163 men and 1398 women) aged 55-75 years from Lausanne. Participants were stratified by number of parents (0, 1, 2) who survived to 85 years or more. The associations of parental longevity with cardiovascular risk factors and related metabolic variables were analyzed using multiple linear regressions. RESULTS Age-adjusted metabolic syndrome prevalence varied from 24.8%, 20.5% to 13.8% in women (P<0.05) and from 28.8%, 32.1% to 27.6% in men (not significant) with 0, 1 and 2 long-lived parents. The association between parental longevity and metabolic syndrome prevalence was particularly strong in women who had never smoked. In this group, women with 2 long-lived parents had lower Body Mass Index and smaller waist circumference. In never-smokers of both genders, mean (95% CI) adjusted High Density Lipoprotein-cholesterol levels were 1.64(1.61-1.67), 1.67(1.65-1.70) and 1.71(1.65-1.76) mmol/L for 0, 1 and 2 long-lived parents (P<0.01), respectively. The trend was not significant in former and current smokers. CONCLUSIONS In women, not in men, parental longevity is associated with a better metabolic profile. The metabolic benefits of having long-lived parents are offset by smoking.
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Affiliation(s)
- Jerome Jaunin
- University Institute of Social and Preventive Medicine (IUMSP), University of Lausanne, Switzerland
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Kulminski AM, Arbeev KG, Culminskaya IV, Ukraintseva SV, Christensen K, Yashin AI. Health-related phenotypes and longevity in danish twins. J Gerontol A Biol Sci Med Sci 2009; 64:1-8. [PMID: 19211549 DOI: 10.1093/gerona/gln051] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Aging studies can be facilitated by refocusing from longevity phenotypes to their proxies (intermediate phenotypes). Robust selection of the intermediate phenotypes requires data on such phenotypes and life span measured in the same individuals, which is not always the case in aging studies. A promising approach is to select intermediate phenotypes using information on longevity measured in related individuals. We evaluated feasibility of this approach focusing on 32 geriatric diseases as potential intermediate phenotypes of longevity assessed in the Longitudinal Study of Aging Danish Twins. Our analyses reveal that geriatric diseases measured in some family members can predict life span in the other family members both individually and cumulatively ensuring that this approach for selection of intermediate phenotypes is feasible. The cumulative-trait approach is more promising for such studies compared with the individual-trait approach. Heritable health dimensions contributing to a decrease of life span have sex-insensitive and sex-specific components.
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Affiliation(s)
- Alexander M Kulminski
- Center for Population Health and Aging, Duke University Population Research Institute, Durham, North Carolina 27708, USA.
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Menotti A, Lanti M, Maiani G, Kromhout D. Determinants of longevity and all-cause mortality among middle-aged men. Role of 48 personal characteristics in a 40-year follow-up of Italian Rural Areas in the Seven Countries Study. Aging Clin Exp Res 2006; 18:394-406. [PMID: 17167304 DOI: 10.1007/bf03324836] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
BACKGROUND AND AIMS Forty-year all-cause mortality and its association with entry risk factor levels are reported for men enrolled in the Italian Rural Areas of the Seven Countries Study of Cardiovascular Diseases. METHODS Forty-eight potential risk factors were measured in 1712 men aged 40-59 at entry examination in 1960. Mortality data were collected during 40 years of follow-up. The relationship of entry risk factor levels with all-cause mortality was studied by univariate and multivariate approaches. RESULTS Overall death rate was 83.7%. The main causes of death were cardiovascular diseases, followed by cancer and others. The 48 risk factors were tested with univariate and multivariate approaches. In the final model, 15 risk factors were strongly and significantly related to all-cause mortality and survival. They were age, father and mother history of premature mortality, cigarette smoking, job-related physical activity (protective), body mass index (BMI) (in an inverse J-shaped fashion), mid-arm circumference (protective), mean blood pressure, forced respiratory volume in 3/4 seconds (protective), serum cholesterol, corneal arcus, xanthelasma, presence of cardiovascular diseases, cancer and diabetes at entry examination. CONCLUSIONS During a 40-year period 15 mainly cardiovascular risk factors were highly predictive of all-cause mortality and survival in middle-aged men.
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Ikeda A, Iso H, Toyoshima H, Kondo T, Mizoue T, Koizumi A, Inaba Y, Tamakoshi A. Parental longevity and mortality amongst Japanese men and women: the JACC Study. J Intern Med 2006; 259:285-95. [PMID: 16476106 DOI: 10.1111/j.1365-2796.2005.01609.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
OBJECTIVES To examine whether the risk of mortality varies according to parents' age at death. DESIGN AND SUBJECTS A large prospective study in Japanese men and women from 45 communities across Japan. A total of 51 485 men and women aged 40-79 years completed self-administered questionnaires at baseline and followed up for 9.6 years. RESULTS The risk of mortality from stroke, cardiovascular disease, and all causes was 20-30% lower in men and women with fathers who died at age > or = 80 years, compared with those with fathers whose age at death was <60 years. A similar reduction was found when the age at death of mothers was > or = 85 years compared with <65 years. Furthermore, the risk reduction was more evident amongst persons with both parents being long-lived parents compared with those with being short-lived parents, especially for death from cardiovascular disease. CONCLUSIONS Our findings indicate that parental longevity could be a predictor for reduced risk of mortality from stroke, cardiovascular disease, and all causes for both Japanese men and women.
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Affiliation(s)
- A Ikeda
- Department of Public Health Medicine, Graduate School of Comprehensive Human Science, University of Tsukuba, Ibaraki, Japan
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Zureik M, Galan P, Bertrais S, Courbon D, Czernichow S, Blacher J, Ducimetière P, Safar ME, Hercberg S. Parental longevity and 7-year changes in blood pressures in adult offspring. Hypertension 2005; 46:287-94. [PMID: 15983237 DOI: 10.1161/01.hyp.0000173068.13787.4d] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
In this report, we examined the cross-sectional and the 7-year longitudinal changes in blood pressures in adult offspring according to parental longevity. A population of volunteers free of symptomatic cardiovascular diseases who participated to the Supplementation en Vitamines et en Minéraux Antioxydants (SUVIMAX) Vascular Study (mean age 52.3 years; 48.3% women) were examined at baseline and 7 years later. Paternal (n=994) and maternal (n=896) longevity were analyzed separately. The prevalence of hypertension at baseline in subjects whose father died at <65 years of age, in those whose fathers were alive by age 65 but died by 80 years of age, and in those whose fathers were alive by age 80 was respectively 34.9%, 28.5%, and 20.2% (P<0.001). The means of systolic blood pressure in the 3 groups of paternal longevity were respectively 128.4 (+/-16.0), 125.3 (+/-14.2), and 123.6 (+/-14.4) mm Hg (P<0.001). During the follow-up, the mean systolic blood pressure increases in the 3 groups of paternal longevity were respectively 5.3 (+/-17.0), 4.2 (+/-14.0), and 1.6 (+/-13.2) mm Hg (P<0.001). In subjects without hypertension at baseline, hypertension occurred during the follow-up in 26.6%, 17.7%, and 15.3% (P<0.009), respectively. Multivariate analyses adjusted for baseline or changes in cardiovascular risk factors did not modify these results. In contrast, there was no relationship between maternal longevity and blood pressure measurements in either cross-sectional or longitudinal analyses. This study suggests that paternal premature death was associated with accelerated progression of systolic blood pressure and higher occurrence of hypertension in offspring. These results indicate that there are dynamic and continuous processes linking paternal longevity to blood pressure in adults.
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Affiliation(s)
- Mahmoud Zureik
- Unit 508, National Institute of Health and Medical Research (INSERM), Institut Pasteur de Lille, Lille, France.
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Hadley EC, Rossi WK. Exceptional survival in human populations: National Institute on Aging perspectives and programs. Mech Ageing Dev 2005; 126:231-4. [PMID: 15621201 DOI: 10.1016/j.mad.2004.08.014] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Identifying the factors that contribute to long and healthy life can lead to improved interventions that can help delay or prevent the onset of major aging-related diseases and disabilities and increase the time that older persons spend in good health. Studies on longevity and other exceptional survival outcomes can contribute to this knowledge. The National Institute on Aging (NIA) supports a considerable amount of basic, behavioral, demographic, epidemiologic, and clinical research on these topics, including a large research program on longevity assurance genes, primarily in laboratory animals, and in biodemographic aspects of longevity in humans and other species. This article describes NIA's activities regarding one important aspect of research on longevity and related phenotypes: exceptional survival phenotypes in humans, including exceptional longevity, health span, and active life expectancy.
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Affiliation(s)
- Evan C Hadley
- Geriatrics and Clinical Gerontology Program, National Institute on Aging, NIH, Gateway Building, Suite 3C307, 7201 Wisconsin Avenue, Bethesda, MD 20892-9205, USA.
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