Huajun Xu1,2, Jian Guan3,4, Hongliang Yi1,2, Jianyin Zou2, Lili Meng1, Xulan Tang1, Huaming Zhu1, Dongzhen Yu1,2, Huiqun Zhou1, Kaiming Su1,2, Yue Wang5, Jian Wang6, Shankai Yin1,2. 1. Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China. 2. Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China. 3. Department of Otolaryngology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, 600 Yishan Road, Shanghai, 200233, China. guanjian0606@sina.com. 4. Otolaryngology Institute of Shanghai Jiao Tong University, Shanghai, China. guanjian0606@sina.com. 5. The Center for Disease Control and Prevention of China, Beijing, China. 6. School of Human Communication Disorders, Dalhousie University, Halifax, Canada.
Abstract
BACKGROUND: Lipid metabolism disorder is recognized to be associated with obstructive sleep apnea (OSA); however, inconsistent results have been reported. The aim of this study was to evaluate the association between lipid profile and OSA with adjustments for multiple confounding factors. METHODS: In total, 2983 subjects were recruited from the Shanghai Sleep Health Study (SSHS) during 2007-2013. Data for overnight polysomnography (PSG) parameters, serum lipids, fasting blood glucose, insulin levels, and anthropometric measurements were collected. Multivariable logistic regression analyses were used to determine the correlation between lipid profile and OSA with adjustments for confounders including lipids, age, gender, Epworth sleepiness scale, body mass index, waist/hip ratio, glucose, insulin resistance, hypertension, and smoking. RESULTS: The prevalence of hyper total cholesterol (TC), hyper triglycerides, hypo high-density lipoprotein cholesterol, hyper low-density lipoprotein cholesterol (LDL-C), hyper apolipoprotein (apo) A-I, and hyper apoB differed significantly between the non-OSA and OSA patients. Without considering the interaction across different lipids, TC, LDL-C, and apoB were independently associated with OSA in primary multivariable logistic regression analyses; the odds ratios (ORs) and 95 % confidence intervals (CIs) were 1.262 (1.109-1.438), 1.432 (1.233-1.664), and 5.582 (2.643-11.787), respectively. However, only LDL-C (OR = 1.430, 95 % CI = 1.221-1.675) was found to be an independent risk factor for OSA in further multivariable logistic regression analyses. CONCLUSIONS: We demonstrated that patients with OSA had a higher percentage of dyslipidemia than subjects without OSA. Of the various components in serum lipid, only LDL-C was independently associated with OSA.
BACKGROUND:Lipid metabolism disorder is recognized to be associated with obstructive sleep apnea (OSA); however, inconsistent results have been reported. The aim of this study was to evaluate the association between lipid profile and OSA with adjustments for multiple confounding factors. METHODS: In total, 2983 subjects were recruited from the Shanghai Sleep Health Study (SSHS) during 2007-2013. Data for overnight polysomnography (PSG) parameters, serum lipids, fasting blood glucose, insulin levels, and anthropometric measurements were collected. Multivariable logistic regression analyses were used to determine the correlation between lipid profile and OSA with adjustments for confounders including lipids, age, gender, Epworth sleepiness scale, body mass index, waist/hip ratio, glucose, insulin resistance, hypertension, and smoking. RESULTS: The prevalence of hyper total cholesterol (TC), hyper triglycerides, hypo high-density lipoprotein cholesterol, hyper low-density lipoprotein cholesterol (LDL-C), hyper apolipoprotein (apo) A-I, and hyper apoB differed significantly between the non-OSA and OSA patients. Without considering the interaction across different lipids, TC, LDL-C, and apoB were independently associated with OSA in primary multivariable logistic regression analyses; the odds ratios (ORs) and 95 % confidence intervals (CIs) were 1.262 (1.109-1.438), 1.432 (1.233-1.664), and 5.582 (2.643-11.787), respectively. However, only LDL-C (OR = 1.430, 95 % CI = 1.221-1.675) was found to be an independent risk factor for OSA in further multivariable logistic regression analyses. CONCLUSIONS: We demonstrated that patients with OSA had a higher percentage of dyslipidemia than subjects without OSA. Of the various components in serum lipid, only LDL-C was independently associated with OSA.
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