CAJ | 학술논문

目的：探讨皮褶厚度及体脂率与呼吸暂停综合征（SAS）的关系，为预防 SAS 的发生提供科学依据。方法采用回顾性病例对照研究，所有研究对象均经多导睡眠图仪（PSG）检查，病例组50例患者按照睡眠呼吸暂停指数（AHI）≥10次/ h 作为诊断标准诊断为 SAS。对照组为未患 SAS 的其他科室患者。采用一般健康状况调查表对研究对象进行调查。采用 Logistic 回归模型对患者皮褶厚度及体脂率与 SAS 关系的比值比（OR）及其相应的95%可信区间（CI）进行估计。结果病例组肱三头肌皮褶厚度（TSF）、肩胛下皮褶厚度（SSF）及体脂率均值均明显高于对照组，差异均有统计学意义（P ﹤0.05）。经单因素 Logistic 回归分析发现，SSF 与 SAS 的发生呈显著正相关（OR =1.302，95% CI：1.023~1.916，P =0.003），随着体脂率的增加，发生 SAS 的危险性也会增加（OR =1.561，95% CI：1.170~2.069，P =0.013）。多因素 Logistic 回归分析的结果表明，TSF、SSF 及体脂率是 SAS 的危险因素（OR =1.746，95% CI：1.168~2.614；OR =1.653，95% CI：1.187~2.308；OR =1.487，95% CI：1.074~1.934）。结论皮褶厚度及体脂率对 SAS 发生有较显著性的影响。
목적：탐토피습후도급체지솔여호흡잠정종합정（SAS）적관계，위예방 SAS 적발생제공과학의거。방법채용회고성병례대조연구，소유연구대상균경다도수면도의（PSG）검사，병례조50례환자안조수면호흡잠정지수（AHI）≥10차/ h 작위진단표준진단위 SAS。대조조위미환 SAS 적기타과실환자。채용일반건강상황조사표대연구대상진행조사。채용 Logistic 회귀모형대환자피습후도급체지솔여 SAS 관계적비치비（OR）급기상응적95%가신구간（CI）진행고계。결과병례조굉삼두기피습후도（TSF）、견갑하피습후도（SSF）급체지솔균치균명현고우대조조，차이균유통계학의의（P ﹤0.05）。경단인소 Logistic 회귀분석발현，SSF 여 SAS 적발생정현저정상관（OR =1.302，95% CI：1.023~1.916，P =0.003），수착체지솔적증가，발생 SAS 적위험성야회증가（OR =1.561，95% CI：1.170~2.069，P =0.013）。다인소 Logistic 회귀분석적결과표명，TSF、SSF 급체지솔시 SAS 적위험인소（OR =1.746，95% CI：1.168~2.614；OR =1.653，95% CI：1.187~2.308；OR =1.487，95% CI：1.074~1.934）。결론피습후도급체지솔대 SAS 발생유교현저성적영향。
Objective To investigate the relationship between sleep apnea syndrome(SAS)and skinfold and body fat rate,and provide scientific evidence for the prevention of SAS. Methods A retro-spective case-control study was conducted. All subjects were tested by PSG,the 50 patients with SAS in the observation group were confirmed by the AHI≥10 times/ h. The patients in control group were admit-ted to the same hospital for different diseases not related with SAS. All subjects were investigated using general health question-naires. Logistic regression models were used to estimate the relationship between SAS and skinfold and body fat rate by the odds ratios(OR)and 95% confidence intervals(CI). Results Triceps skinfold (TSF),subscapular skinfold(SSF),and body fat rate in the observation group was significantly higher than that of the control group(P ﹤ 0. 05). The results of univariate Logistic regression showed that SSF was positively correlated with SAS(OR = 1. 302,95% CI:1. 023 - 1. 916,P = 0. 003). It also showed that the SAS risk increased with the body fat rate(OR = 1. 561,95% CI:1. 170 - 2. 069,P = 0. 013). The multiple Logistic regression analysis showed that TSF,SSF and body fat rate were risk factors of SAS (OR = 1. 746,95% CI:1. 168 - 2. 614;OR = 1. 653,95% CI:1. 187 - 2. 308;OR = 1. 487,95%CI:1. 074 - 1. 934). Conclusions Skinfold and body fat rate has significant impact on SAS.