Impact of Low Cardiovascular Risk Profiles on Geriatric Outcomes: Evidence From 421,000 Participants in Two Cohorts

被引:38
作者
Atkins, Janice L. [1 ]
Delgado, Joao [1 ]
Pilling, Luke C. [1 ]
Bowman, Kirsty [1 ]
Masoli, Jane A. H. [1 ,2 ]
Kuchel, George A. [3 ]
Ferrucci, Luigi [4 ]
Melzer, David [1 ]
机构
[1] Univ Exeter, Med Sch, Epidemiol & Publ Hlth Grp, RILD Bldg,RD&E Wonford,Barrack Rd, Exeter EX2 5DW, Devon, England
[2] Royal Devon & Exeter NHS Fdn Trust, Healthcare Older People, Exeter, Devon, England
[3] Univ Connecticut, Dept Geriatr Med, Ctr Aging, Farmington, CT USA
[4] NIA, Baltimore, MD 21224 USA
来源
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES | 2019年 / 74卷 / 03期
基金
英国医学研究理事会;
关键词
Cardiovascular risk; Healthy aging; Frailty; Incontinence; Chronic pain; OLDER-ADULTS; FOLLOW-UP; HEALTH; FRAILTY; PREVALENCE; DISEASE; VALIDATION; DEMENTIA; OBESITY;
D O I
10.1093/gerona/gly083
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
030301 [社会学]; 100201 [内科学];
摘要
Individuals with low cardiovascular risk factor profiles experience lower rates of cardiovascular diseases, but associations with geriatric syndromes are unclear. We tested whether individuals with low cardiovascular disease risk, aged 6069 years old at baseline in two large cohorts, were less likely to develop aging-related adverse health outcomes. Data were from population representative medical records (Clinical Practice Research Datalink [CPRD] England, n = 239,591) and healthy volunteers (UK Biobank [UKB], n = 181,820), followed for 10 years. A cardiovascular disease risk score (CRS) summarized smoking status, LDL-cholesterol, blood pressure, body mass index, fasting glucose and physical activity, grouping individuals as low (ie, all factors near ideal), moderate, or high CRS. Logistic regression, Cox models, and Fine and Grey risk models tested the associations between the CRS and health outcomes. Low CRS individuals had less chronic pain (UKB: baseline odds ratio = 0.52, confidence interval [CI] = 0.500.54), lower incidence of incontinence (CPRD: subhazard ratio [sub-HR] = 0.75, 0.630.91), falls (sub-HR = 0.82, CI = 0.730.91), fragility fractures (sub-HR = 0.78, CI = 0.650.93), and dementia (vs. high risks; UKB: sub-HR = 0.67, CI = 0.500.89; CPRD: sub-HR = 0.79, CI = 0.561.12). Only 5.4% in CPRD with low CRS became frail (Rockwood index) versus 24.2% with high CRS. All-cause mortality was markedly lower in the low CRS group (vs. high CRS; HR = 0.40, 95% CI = 0.350.47). All associations showed doseresponse relationships, and results were similar in both cohorts. Persons aged 6069 years with near-ideal cardiovascular risk factor profiles have substantially lower incidence of geriatric conditions and frailty. Optimizing cardiovascular disease risk factors may substantially reduce the burden of morbidity in later life.
引用
收藏
页码:350 / 357
页数:8
相关论文
共 35 条
[1]
Favorable Cardiovascular Health, Compression of Morbidity, and Healthcare Costs Forty-Year Follow-Up of the CHA Study (Chicago Heart Association Detection Project in Industry) [J].
Allen, Norrina B. ;
Zhao, Lihui ;
Liu, Lei ;
Daviglus, Martha ;
Liu, Kiang ;
Fries, James ;
Shih, Ya-Chen Tina ;
Garside, Daniel ;
Thanh-Huyen Vu ;
Stamler, Jeremiah ;
Lloyd-Jones, Donald M. .
CIRCULATION, 2017, 135 (18) :1693-+
[2]
Cardiovascular risk factors and dementia mortality: 40 years of follow-up in the Seven Countries Study [J].
Alonso, Alvaro ;
Jacobs, David R., Jr. ;
Menotti, Alessandro ;
Nissinen, Aulikki ;
Dontas, Anastasios ;
Kafatos, Anthony ;
Kromhout, Daan .
JOURNAL OF THE NEUROLOGICAL SCIENCES, 2009, 280 (1-2) :79-83
[3]
Low Prevalence of "Ideal Cardiovascular Health" in a Community-Based Population The Heart Strategies Concentrating on Risk Evaluation (Heart SCORE) Study [J].
Bambs, Claudia ;
Kip, Kevin E. ;
Dinga, Andrea ;
Mulukutla, Suresh R. ;
Aiyer, Aryan N. ;
Reis, Steven E. .
CIRCULATION, 2011, 123 (08) :850-857
[4]
The benefits of statins in people without established cardiovascular disease but with cardiovascular risk factors: meta-analysis of randomised controlled trials [J].
Brugts, J. J. ;
Yetgin, T. ;
Hoeks, S. E. ;
Gotto, A. M. ;
Shepherd, J. ;
Westendorp, R. G. J. ;
de Craen, A. J. M. ;
Knopp, R. H. ;
Nakamura, H. ;
Ridker, P. ;
van Domburg, R. ;
Deckers, J. W. .
BMJ-BRITISH MEDICAL JOURNAL, 2009, 339 :36
[5]
Development and validation of an electronic frailty index using routine primary care electronic health record data [J].
Clegg, Andrew ;
Bates, Chris ;
Young, John ;
Ryan, Ronan ;
Nichols, Linda ;
Teale, Elizabeth Ann ;
Mohammed, Mohammed A. ;
Parry, John ;
Marshall, Tom .
AGE AND AGEING, 2016, 45 (03) :353-360
[6]
Ideal Cardiovascular Health Predicts Functional Status Independently of Vascular Events: The Northern Manhattan Study [J].
Dhamoon, Mandip S. ;
Dong, Chuanhui ;
Elkind, Mitchell S. V. ;
Sacco, Ralph L. .
JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2015, 4 (02)
[7]
Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: A meta-analysis [J].
Fang, Na ;
Jiang, Menglin ;
Fan, Yu .
INTERNATIONAL JOURNAL OF CARDIOLOGY, 2016, 214 :280-284
[8]
A proportional hazards model for the subdistribution of a competing risk [J].
Fine, JP ;
Gray, RJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1999, 94 (446) :496-509
[9]
American Heart Association's Life's Simple 7: Avoiding Heart Failure and Preserving Cardiac Structure and Function [J].
Folsom, Aaron R. ;
Shah, Amil M. ;
Lutsey, Pamela L. ;
Roetker, Nicholas S. ;
Alonso, Alvaro ;
Avery, Christy L. ;
Miedema, Michael D. ;
Konety, Suma ;
Chang, Patricia P. ;
Solomon, Scott D. .
AMERICAN JOURNAL OF MEDICINE, 2015, 128 (09) :970-+
[10]
Community Prevalence of Ideal Cardiovascular Health, by the American Heart Association Definition, and Relationship With Cardiovascular Disease Incidence [J].
Folsom, Aaron R. ;
Yatsuya, Hiroshi ;
Nettleton, Jennifer A. ;
Lutsey, Pamela L. ;
Cushman, Mary ;
Rosamond, Wayne D. .
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, 2011, 57 (16) :1690-1696