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Risk profiles for metabolic syndrome and its transition patterns for the elderly in Beijing, 1992–2009

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Abstract

There have been few reports on the development of metabolic disorders, especially when they are considered as a cluster. The purpose of this study was to describe risk profiles for metabolic syndrome (MetS) in elderly dwellers in Beijing, and to find their transition patterns over time. Data were derived from Beijing longitudinal study of aging, a community-based cohort study hosted by Xuanwu hospital. There were 3,257 elderly people aged 55 years or over recruited in 1992. MetS was assessed for the years 1992, 2000, and 2009. Finally, 363 subjects with complete information for components of MetS in the three years were included in the study. The criteria of MetS recommended by the joint interim statement criteria were adopted. Latent transition analysis was used to calculate the transition probabilities between adjacent visits. A risk typology consisting of four time-invariant groups was detected based on the components of MetS for all subjects. Low MetS risk group, BP risk group, BP–HDL risk group, and BP–FPG–TG risk group were found. The probability of staying at the same status was higher at the two intervals across 18 years. Four latent groups were extracted based on three assessments for the components of MetS, together with their transition patterns. Findings suggested various trajectories for MetS components. Different combinations of intervention strategy might be needed for MetS risk groups.

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Acknowledgments

The study has been funded by the Major Project of Natural Science Fund of Beijing (Serial Number: 7131002); Key Projects in the National Science & Technology Pillar Program in the Twelfth Five-year Plan Period of China (2011BAI08B01); the Program of Natural Science Fund of China (Serial Number: 81172772); and the Program of Natural Science Fund of Beijing (Serial Number: 4112015).

Conflict of interest

The authors declare no conflict of interest.

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Authors and Affiliations

  1. School of Public Health, Capital Medical University, 10 Xitoutiao, Youanmenwai, Fengtai, Beijing, 100069, China

    Li-Xin Tao, Hui-Ping Zhu, Tao Zhou, Lei Pan, Qi Gao, Yan-Xia Luo, Li-Juan Wu, Xia Li & Xiu-Hua Guo

  2. Beijing Municipal Key Laboratory of Clinical Epidemiology, 10 Xitoutiao, Youanmenwai, Fengtai, Beijing, 100069, China

    Li-Xin Tao, Hui-Ping Zhu, Tao Zhou, Lei Pan, Qi Gao, Yan-Xia Luo, Li-Juan Wu, Xia Li & Xiu-Hua Guo

  3. Department of Integrated Early Childhood Development, Capital Institute of Pediatrics, Beijing, 100020, China

    Wei Wang

  4. Institute for Infectious Disease and Endemic Disease Control, Beijing Center for Disease Prevention and Control, Beijing, 100013, China

    Da Huo

  5. Department of Epidemiology & Public Health, University College Cork, Cork, 78746, Ireland

    Xia Li

  6. Beijing Geriatric Clinical and Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China

    Zhe Tang

Authors
  1. Li-Xin Tao
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  5. Tao Zhou
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  8. Yan-Xia Luo
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  9. Li-Juan Wu
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  10. Xia Li
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  11. Zhe Tang
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  12. Xiu-Hua Guo
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Corresponding authors

Correspondence to Xia Li, Zhe Tang or Xiu-Hua Guo.

Additional information

Li-Xin Tao and Wei Wang are joint first authors. They contributed equally to the work.

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Tao, LX., Wang, W., Zhu, HP. et al. Risk profiles for metabolic syndrome and its transition patterns for the elderly in Beijing, 1992–2009. Endocrine 47, 161–168 (2014). https://doi.org/10.1007/s12020-013-0143-4

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  • DOI: https://doi.org/10.1007/s12020-013-0143-4

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