Literature DB >> 18006171

Clinical significance of the metabolic syndrome in the absence of established hypertension and diabetes: A community-based study.

Pai-Feng Hsu1, Shao-Yuan Chuang, Hao-Min Cheng, Shih-Tzer Tsai, Pesus Chou, Chen-Huan Chen.   

Abstract

AIMS/HYPOTHESIS: Our aim was to determine the predictive values on the all-cause and cardiovascular mortality and the future risks of hypertension and diabetes of the metabolic syndrome defined by the third report of the National Cholesterol Education Program's Adult Treatment Panel in the absence of established hypertension and diabetes (who may still have elevated blood pressure within 130-139/85-89mmHg and/or elevated fasting blood glucose within 5.5-6.9mmol/L (100-125mg/dL)).
METHODS: A community-based population of 11,058 Chinese aged 30 years and above in Kinmen island was followed up for 10.6 years. All-cause and cardiovascular mortality and incidence of hypertension and diabetes mellitus were determined.
RESULTS: The hazard ratios and 95% confidence intervals for all-cause and cardiovascular mortality in subjects with metabolic syndrome but without hypertension and diabetes versus subjects without metabolic syndrome, hypertension, and diabetes, were 0.81 (0.51-1.30) and 0.89 (0.57-1.37) in men, and 1.14 (0.45-2.92) and 0.73 (0.27-2.68) in women, respectively. In the non-diabetic non-hypertensives at baseline, the odds ratios and 95% confidence intervals for predicting hypertension and diabetes for subjects with versus without the metabolic syndrome were 2.25 (1.80-2.82) and 3.12 (2.30-4.24), respectively. CONCLUSIONS/
INTERPRETATION: In this Chinese population, metabolic syndrome in the absence of hypertension and diabetes was not associated with increased risk of all-cause or cardiovascular mortality. In contrast, the presence of metabolic syndrome predicted future risk of hypertension and diabetes. Therefore, the intervention strategies for subjects with metabolic syndrome may be focused on the prevention of hypertension and diabetes.

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Year:  2007        PMID: 18006171     DOI: 10.1016/j.diabres.2007.09.021

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  10 in total

1.  Analysis of risk factors of metabolic syndrome using a structural equation model: a cohort study.

Authors:  Zhimin Ma; Ditian Li; Siyan Zhan; Feng Sun; Chaonan Xu; Yunfeng Wang; Xinghua Yang
Journal:  Endocrine       Date:  2018-08-21       Impact factor: 3.633

2.  Metabolic syndrome, its components, and mortality in the elderly.

Authors:  Tasnime N Akbaraly; Mika Kivimaki; Marie-Laure Ancelin; Pascale Barberger-Gateau; Thibault Mura; Christophe Tzourio; Jacques Touchon; Karen Ritchie; Claudine Berr
Journal:  J Clin Endocrinol Metab       Date:  2010-09-01       Impact factor: 5.958

3.  Metabolic syndrome and all-cause mortality: a meta-analysis of prospective cohort studies.

Authors:  Sheng Hui Wu; Wu Sheng Hui; Zhong Liu; Suzanne C Ho
Journal:  Eur J Epidemiol       Date:  2010-04-28       Impact factor: 8.082

4.  Central versus ambulatory blood pressure in the prediction of all-cause and cardiovascular mortalities.

Authors:  Chi-Ming Huang; Kang-Ling Wang; Hao-Min Cheng; Shao-Yuan Chuang; Shih-Hsien Sung; Wen-Chung Yu; Chih-Tai Ting; Edward G Lakatta; Frank Cp Yin; Pesus Chou; Chen-Huan Chen
Journal:  J Hypertens       Date:  2011-03       Impact factor: 4.844

5.  Excessive 5-year weight gain predicts metabolic syndrome development in healthy middle-aged adults.

Authors:  Yu-Cheng Lin; Jong-Dar Chen; Pau-Chung Chen
Journal:  World J Diabetes       Date:  2011-01-15

Review 6.  Update on the metabolic syndrome: hypertension.

Authors:  Kristi Reynolds; Rachel P Wildman
Journal:  Curr Hypertens Rep       Date:  2009-04       Impact factor: 5.369

7.  Worksite health screening programs for predicting the development of Metabolic Syndrome in middle-aged employees: a five-year follow-up study.

Authors:  Yu-Cheng Lin; Jong-Dar Chen; Su-Huey Lo; Pau-Chung Chen
Journal:  BMC Public Health       Date:  2010-12-02       Impact factor: 3.295

8.  Follow-ups of metabolic, inflammatory and oxidative stress markers, and brachial-ankle pulse wave velocity in middle-aged subjects without metabolic syndrome.

Authors:  Oh Yoen Kim; Jean Kyung Paik; Ju Young Lee; Sang-Hyun Lee; Jong Ho Lee
Journal:  Clin Exp Hypertens       Date:  2012-11-13       Impact factor: 1.749

9.  The relationship between serum vitamin D levels and ankle-brachial index in patients with metabolic syndrome.

Authors:  Davoud Kazemisaleh; Keivan Kiani; Masoumeh Sadeghi; Hamidreza Roohafza; Minoo Dianatkhah; Nizal Sarrafzadegan
Journal:  ARYA Atheroscler       Date:  2018-01

10.  The Cohort Study on Prediction of Incidence of All-Cause Mortality by Metabolic Syndrome.

Authors:  Zhixia Li; Xinghua Yang; Jun Yang; Zhirong Yang; Shengfeng Wang; Feng Sun; Siyan Zhan
Journal:  PLoS One       Date:  2016-05-19       Impact factor: 3.240

  10 in total

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