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Joint interaction effect of metabolic syndrome and obstructive sleep apnea on hypertension.


ABSTRACT: Numerous studies have observed a relationship between obstructive sleep apnea and hypertension, but the effects of metabolic syndrome on hypertension, and their interaction with obstructive sleep apnea, remain unclear. For this study, a total of 2972 patients were recruited from the Shanghai Sleep Health Study. Data from overnight polysomnography parameters, serum lipids, fasting blood glucose, blood pressure, and anthropometric measurements were collected. The authors then explored the independent associations and multiplicative and additive interactions of predictors of metabolic syndrome with hypertension. A positive dose-response relationship was observed between systolic blood pressure and diastolic blood pressure and quartiles of fasting glucose, triglyceride, low-density lipoprotein cholesterol, body mass index, and apnea-hypopnea index. Furthermore, logistic regression analysis showed that, in men, a high triglyceride level, hyperglycemia, and overweight status (and their interaction effect on obstructive sleep apnea) were associated with hypertension. Being overweight and hyperglycemic may markedly augment the adverse effect of obstructive sleep apnea on hypertension in men. Therefore, hypertension therapy should be individualized based on the specific comorbidities of each patient.

SUBMITTER: Zhao X 

PROVIDER: S-EPMC8031209 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Joint interaction effect of metabolic syndrome and obstructive sleep apnea on hypertension.

Zhao Xiaolong X   Xu Huajun H   Zou Jianyin J   Qian Yingjun Y   Yi Hongliang H   Guan Jian J   Yin Shankai S  

Journal of clinical hypertension (Greenwich, Conn.) 20180612


Numerous studies have observed a relationship between obstructive sleep apnea and hypertension, but the effects of metabolic syndrome on hypertension, and their interaction with obstructive sleep apnea, remain unclear. For this study, a total of 2972 patients were recruited from the Shanghai Sleep Health Study. Data from overnight polysomnography parameters, serum lipids, fasting blood glucose, blood pressure, and anthropometric measurements were collected. The authors then explored the independ  ...[more]

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