AIM: To investigate whether or not the metabolic syndrome (MetS) can predict the incidence of diabetes and all-cause mortality among elderly subjects. METHODS: Analyses were based on data collected by the Italian Longitudinal Study on Aging (ILSA) that, between 1992 and 1996, enrolled 5632 participants aged 65 to 84 years. The analyses included 3081 participants for whom complete data were available. Logistic-regression models were designed to study the influence of the MetS on the incidence of diabetes, adjusting for individual MetS components and possible confounders. Data on mortality collected between baseline and the 1996 follow-up were also considered, and Cox's proportional hazards models were used to determine the death risk attributable to the synergistic relationship between the MetS and diabetes. RESULTS: The MetS was strongly associated with an increased risk of diabetes (OR: 5.53, 95% CI: 2.89-10.60). After adjusting for its individual components and possible confounders, the MetS maintained an important role in predicting the incidence of diabetes (OR: 2.65, 95% CI: 0.97-7.24) together with the fasting glucose component (OR: 5.89, 95% CI: 2.89-11.98). Over the 4-year follow-up, participants with diabetes, but without the MetS, and subjects with the MetS, but without diabetes, had no significant risk of death compared with the reference group. Elderly subjects who had both the MetS and diabetes had almost double the risk of death vs the reference group (HR: 1.80, 95% CI: 1.04-3.12). CONCLUSION: The MetS is associated with the incidence of diabetes, and the synergy between the MetS and diabetes is an important risk factor for all-cause mortality in elderly subjects.
AIM: To investigate whether or not the metabolic syndrome (MetS) can predict the incidence of diabetes and all-cause mortality among elderly subjects. METHODS: Analyses were based on data collected by the Italian Longitudinal Study on Aging (ILSA) that, between 1992 and 1996, enrolled 5632 participants aged 65 to 84 years. The analyses included 3081 participants for whom complete data were available. Logistic-regression models were designed to study the influence of the MetS on the incidence of diabetes, adjusting for individual MetS components and possible confounders. Data on mortality collected between baseline and the 1996 follow-up were also considered, and Cox's proportional hazards models were used to determine the death risk attributable to the synergistic relationship between the MetS and diabetes. RESULTS: The MetS was strongly associated with an increased risk of diabetes (OR: 5.53, 95% CI: 2.89-10.60). After adjusting for its individual components and possible confounders, the MetS maintained an important role in predicting the incidence of diabetes (OR: 2.65, 95% CI: 0.97-7.24) together with the fasting glucose component (OR: 5.89, 95% CI: 2.89-11.98). Over the 4-year follow-up, participants with diabetes, but without the MetS, and subjects with the MetS, but without diabetes, had no significant risk of death compared with the reference group. Elderly subjects who had both the MetS and diabetes had almost double the risk of death vs the reference group (HR: 1.80, 95% CI: 1.04-3.12). CONCLUSION: The MetS is associated with the incidence of diabetes, and the synergy between the MetS and diabetes is an important risk factor for all-cause mortality in elderly subjects.
Authors: Liou Y Sun; Adam Spong; William R Swindell; Yimin Fang; Cristal Hill; Joshua A Huber; Jacob D Boehm; Reyhan Westbrook; Roberto Salvatori; Andrzej Bartke Journal: Elife Date: 2013-10-29 Impact factor: 8.140
Authors: Samir Ben Ali; Hanen Belfki-Benali; Hajer Aounallah-Skhiri; Pierre Traissac; Bernard Maire; Francis Delpeuch; Noureddine Achour; Habiba Ben Romdhane Journal: Biomed Res Int Date: 2014-03-31 Impact factor: 3.411