CONTEXT AND OBJECTIVE: The metabolic syndrome (MetS) has been shown to predict mortality in the middle-aged, but less is known on the impact of MetS and its components on mortality risk in the elderly. Our objectives were 1) to examine the association of MetS with the risk of all-cause and cause-specific mortality in a French elderly community-dweller cohort and 2) to determine the main components driving these associations. PARTICIPANTS AND METHODS: Prospective analyses were carried out on 7118 men and women aged 65 yr and over from the Three-City cohort. Association between MetS (defined using the National Cholesterol Education Program Adult Treatment Panel III criteria) and mortality risk over the 7-yr follow-up was assessed using Cox proportional hazards models. RESULTS: After adjusting for sociodemographic variables, health behaviors, and health status, a 50% increased risk for all-cause mortality was observed in participants with MetS at baseline compared with those without, with a hazard ratio of 1.54 [95% confidence interval (CI) = 1.24-1.92]. Elevated fasting blood glucose, high triglycerides, and low high-density lipoprotein cholesterol were the major contributors to this association, acting synergistically on mortality risk. For coronary heart disease mortality and cancer mortality, the hazard ratios associated with MetS were 2.21 (95% CI = 1.07-4.55) and 1.49 (95% CI = 1.04-2.14), respectively. CONCLUSIONS: By showing that an elevated fasting blood glucose potentiates the excess mortality risk associated with lipid abnormality, our study supports the status of MetS as a risk factor for mortality in the elderly. Our findings emphasize the importance of MetS screening and managing dyslipidemia and hyperglycemia in older persons in general practice.
CONTEXT AND OBJECTIVE: The metabolic syndrome (MetS) has been shown to predict mortality in the middle-aged, but less is known on the impact of MetS and its components on mortality risk in the elderly. Our objectives were 1) to examine the association of MetS with the risk of all-cause and cause-specific mortality in a French elderly community-dweller cohort and 2) to determine the main components driving these associations. PARTICIPANTS AND METHODS: Prospective analyses were carried out on 7118 men and women aged 65 yr and over from the Three-City cohort. Association between MetS (defined using the National Cholesterol Education Program Adult Treatment Panel III criteria) and mortality risk over the 7-yr follow-up was assessed using Cox proportional hazards models. RESULTS: After adjusting for sociodemographic variables, health behaviors, and health status, a 50% increased risk for all-cause mortality was observed in participants with MetS at baseline compared with those without, with a hazard ratio of 1.54 [95% confidence interval (CI) = 1.24-1.92]. Elevated fasting blood glucose, high triglycerides, and low high-density lipoprotein cholesterol were the major contributors to this association, acting synergistically on mortality risk. For coronary heart disease mortality and cancer mortality, the hazard ratios associated with MetS were 2.21 (95% CI = 1.07-4.55) and 1.49 (95% CI = 1.04-2.14), respectively. CONCLUSIONS: By showing that an elevated fasting blood glucose potentiates the excess mortality risk associated with lipid abnormality, our study supports the status of MetS as a risk factor for mortality in the elderly. Our findings emphasize the importance of MetS screening and managing dyslipidemia and hyperglycemia in older persons in general practice.
Authors: Javed Butler; Nicolas Rodondi; Yuwei Zhu; Kathleen Figaro; Sergio Fazio; Douglas E Vaughan; Suzanne Satterfield; Anne B Newman; Bret Goodpaster; Douglas C Bauer; Paul Holvoet; Tamara B Harris; Nathalie de Rekeneire; Susan Rubin; Jingzhong Ding; Stephen B Kritchevsky Journal: J Am Coll Cardiol Date: 2006-03-27 Impact factor: 24.094
Authors: Lynn E Eberly; Ronald Prineas; Jerome D Cohen; Gabriela Vazquez; Xin Zhi; James D Neaton; Lewis H Kuller Journal: Diabetes Care Date: 2006-01 Impact factor: 19.112
Authors: Giovanni Ravaglia; Paola Forti; Fabiola Maioli; Luciana Bastagli; Martina Chiappelli; Fausta Montesi; Luigi Bolondi; Christopher Patterson Journal: Diabetes Care Date: 2006-11 Impact factor: 19.112
Authors: Abel Romero-Corral; Victor M Montori; Virend K Somers; Josef Korinek; Randal J Thomas; Thomas G Allison; Farouk Mookadam; Francisco Lopez-Jimenez Journal: Lancet Date: 2006-08-19 Impact factor: 79.321
Authors: Gary Whitlock; Sarah Lewington; Paul Sherliker; Robert Clarke; Jonathan Emberson; Jim Halsey; Nawab Qizilbash; Rory Collins; Richard Peto Journal: Lancet Date: 2009-03-18 Impact factor: 79.321
Authors: Giovanni Zuliani; Mario Luca Morieri; Stefano Volpato; Marcello Maggio; Antonio Cherubini; Daniela Francesconi; Stefania Bandinelli; Giuseppe Paolisso; Jack M Guralnik; Luigi Ferrucci Journal: Atherosclerosis Date: 2014-06-10 Impact factor: 5.162
Authors: Nicholas J Everage; Crystal D Linkletter; Annie Gjelsvik; Stephen T McGarvey; Eric B Loucks Journal: Biomed Res Int Date: 2014-02-25 Impact factor: 3.411
Authors: Nan H Kim; Hyun J Cho; Soriul Kim; Ji H Seo; Hyun J Lee; Ji H Yu; Hye S Chung; Hye J Yoo; Ji A Seo; Sin Gon Kim; Sei Hyun Baik; Dong Seop Choi; Chol Shin; Kyung Mook Choi Journal: Medicine (Baltimore) Date: 2016-02 Impact factor: 1.889