Risk Profiles for Metabolic Syndrome and its Transition Analysis for the Elderly in Beijing, 1992-2009
Background: There were few reports for the development of the metabolic disorders, especially when they were considered as a cluster. This study was to describe risk profiles for metabolic syndrome in elderly dwellers in Beijing, and to find their transition patterns over time. Methods: Data were derived from Beijing Longitudinal Study of Aging, a community-based cohort study hosted by Xuanhu hospital. There were 3,257 elderly people aged 55 years or over recruited in 1992. Metabolic syndrome (MetS) was assessed at the years 1992, 2000 and 2009. The criteria of metabolic syndrome recommended by Chinese Diabetes Society were adopted. Subjects with information in at least two waves were involved in this study. Latent transition analysis (LTA) was used to calculate the transition probabilities between the adjacent visits. Results: A risk typology consisting of four time-invariant groups was detected based on the components of metabolic syndrome for male and female respectively. For male, a FPG-BMI abnormal group, Low MetS group, SBP-TG abnormal group and SBP group were found. The probability to stay at the same status was higher except for the SBP-TG group to SBP group at the first interval. For female, Hypertension group, TG abnormal group, SBP-BMI abnormal group and SBP-TG abnormal group were identified. The probability to stay at the same status was higher except for the SBP-TG group to Hypertension group at the second interval. Conclusions: A risk typology consisting of four groups was extracted based on three assessments for the components of metabolic syndrome, together with their transition probability patterns. Findings suggested a various trajectory for MetS components. Different combinations of intervention strategy might be needed for MetS risk groups.
Metabolic syndrome Elderly Latent transition analysis Longitudinal study
Wei Wang Xia Li Qi Gao Lijuan Wu Yanxia Luo Zhe Tang Xiuhua Guo
Department of Epidemiology and Health Statistics, School of Public Health and Family Medicine,Capita Department of Epidemiology and Health Statistics,School of Public Health and Family Medicine,Capital Department of Epidemiology and Health Statistics,School of Public Health and Family Medicine,Capital Xuanwu Hospital,Capital Medical University,Beijing 100053,China Beijing Geriatric Clinical and Resea
国际会议
Second Joint Biostatistics Symposium(第二届生物统计国际研讨会2012)
北京
英文
151-165
2012-07-08（万方平台首次上网日期，不代表论文的发表时间）