Fan Wang1,2,3, Xiaolu Xiong4, Huajun Xu5,6,7, Hengye Huang8, Yue Shi9, Xinyi Li1,2,3, Yingjun Qian1,2,3, Jianyin Zou1,2,3, Hongliang Yi1,2,3, Jian Guan10,11,12, Shankai Yin1,2,3. 1. Department of Otolaryngology Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Road 600, Shanghai, 200233, China. 2. Shanghai Key Laboratory of Sleep Disordered Breathing, Yishan Road 600, Shanghai, 200233, China. 3. Otolaryngological Institute, Shanghai Jiao Tong University, Yishan Road 600, Shanghai, 200233, China. 4. Department of Endocrinology, Drum Tower Hospital, Affiliated to Nanjing University Medical School, Nanjing, 210008, China. 5. Department of Otolaryngology Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Road 600, Shanghai, 200233, China. sunnydayxu2010@163.com. 6. Shanghai Key Laboratory of Sleep Disordered Breathing, Yishan Road 600, Shanghai, 200233, China. sunnydayxu2010@163.com. 7. Otolaryngological Institute, Shanghai Jiao Tong University, Yishan Road 600, Shanghai, 200233, China. sunnydayxu2010@163.com. 8. Department of Epidemiology, School of Public Health, Shanghai Jiao Tong University, 225 South Chongqing Road, Shanghai, 200020, China. huanghy1107@qq.com. 9. Department of Epidemiology, School of Public Health, Shanghai Jiao Tong University, 225 South Chongqing Road, Shanghai, 200020, China. 10. Department of Otolaryngology Head and Neck Surgery & Center of Sleep Medicine, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Yishan Road 600, Shanghai, 200233, China. guanjian0606@sina.com. 11. Shanghai Key Laboratory of Sleep Disordered Breathing, Yishan Road 600, Shanghai, 200233, China. guanjian0606@sina.com. 12. Otolaryngological Institute, Shanghai Jiao Tong University, Yishan Road 600, Shanghai, 200233, China. guanjian0606@sina.com.
Abstract
BACKGROUND: Growing evidence suggests an independent relationship between obstructive sleep apnea syndrome (OSAS) and metabolic syndrome (MS). Patients with OSAS always show clustering of metabolic components. However, the understanding of interplay between OSAS and metabolic components is still lacking. METHODS: Participants were consecutively enrolled from our sleep center during the period 2009-2013. Anthropometric variables, metabolic indicators, and sleep parameters were collected from all participants. The factor structure for MS in OSAS and non-OSAS was examined by confirmatory factor analysis. RESULTS: The OSAS and non-OSAS demonstrated clustering of metabolic components. MS in patients with OSAS was strongly associated with insulin resistance (standardized factor loading = 0.93, p < 0.001), obesity (loading = 0.92, p < 0.001), and the lipid profile (loading = 0.72, p < 0.001). Furthermore, insulin resistance was correlated with obesity and lipid profile (r = 0.86, p < 0.001; r = 0.68, p < 0.001, respectively). Obesity and lipid profile were also highly correlated in OSAS (r = 0.66, p < 0.001). In non-OSAS, MS was strongly associated with insulin resistance, obesity, and lipid profile (loading = 0.95, p < 0.001; loading = 0.74, p < 0.001; loading = 0.68, p < 0.001, respectively). Insulin resistance was most strongly associated with fasting insulin (loading = 0.65, p < 0.001). Lipid profile was most strongly associated with TG (loading = 0.88, p < 0.001). Obesity was most strongly associated with BMI (loading = 0.80, p < 0.001). CONCLUSIONS: OSAS is more prone to show clustering of metabolic components compared with non-OSAS. In particular, insulin resistance, obesity, and the lipid profile were independently and strongly correlated with MS in OSAS.
BACKGROUND: Growing evidence suggests an independent relationship between obstructive sleep apnea syndrome (OSAS) and metabolic syndrome (MS). Patients with OSAS always show clustering of metabolic components. However, the understanding of interplay between OSAS and metabolic components is still lacking. METHODS: Participants were consecutively enrolled from our sleep center during the period 2009-2013. Anthropometric variables, metabolic indicators, and sleep parameters were collected from all participants. The factor structure for MS in OSAS and non-OSAS was examined by confirmatory factor analysis. RESULTS: The OSAS and non-OSAS demonstrated clustering of metabolic components. MS in patients with OSAS was strongly associated with insulin resistance (standardized factor loading = 0.93, p < 0.001), obesity (loading = 0.92, p < 0.001), and the lipid profile (loading = 0.72, p < 0.001). Furthermore, insulin resistance was correlated with obesity and lipid profile (r = 0.86, p < 0.001; r = 0.68, p < 0.001, respectively). Obesity and lipid profile were also highly correlated in OSAS (r = 0.66, p < 0.001). In non-OSAS, MS was strongly associated with insulin resistance, obesity, and lipid profile (loading = 0.95, p < 0.001; loading = 0.74, p < 0.001; loading = 0.68, p < 0.001, respectively). Insulin resistance was most strongly associated with fasting insulin (loading = 0.65, p < 0.001). Lipid profile was most strongly associated with TG (loading = 0.88, p < 0.001). Obesity was most strongly associated with BMI (loading = 0.80, p < 0.001). CONCLUSIONS: OSAS is more prone to show clustering of metabolic components compared with non-OSAS. In particular, insulin resistance, obesity, and the lipid profile were independently and strongly correlated with MS in OSAS.
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