Obesity and obstructive sleep apnea risk among Nigerians.
Obesity and obstructive sleep apnea risk among Nigerians.
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DOI：
10.4103/jomt.jomt_17_17
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发表时间：
2017-07
期刊：
影响因子：
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通讯作者：
Agaba EI
中科院分区：
文献类型：
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作者：
Akanbi MO;Agaba PA;Ozoh OB;Ocheke AN;Gimba ZM;Ukoli CO;Agaba EI
在尼日利亚，肥胖对阻塞性睡眠呼吸暂停(OSA)的影响描述得很少。我们的目标是比较尼日利亚城市肥胖和非肥胖成年人OSA的风险。进行了一项分析性横断面研究。参与者使用世界卫生组织非传染性疾病问卷进行了访谈。使用Stop-bang调查问卷进行阻塞性睡眠呼吸暂停综合征风险评估。Stop-bang问卷的≥总分为3分，表示阻塞性睡眠呼吸暂停的风险，而≥5的总分则表示阻塞性睡眠呼吸暂停高风险。肥胖的定义是体重指数(BMI)&30公斤/平方米。用卡方和Logistic回归模型检验肥胖与阻塞性睡眠呼吸暂停的关系，以控制混杂因素。共有744名受访者，平均年龄为44岁(标准差为10岁)。共有2 0 6人[27.7%，95%可信区间(CI)2 4.46~30.9]为肥胖(体重指数≥为30 kg/m2)。≥3分(41.3%，95%可信区间37.7~44.9)，≥5分(37分，4.9%，95%可信区间3.6~6.7)。肥胖者多于非肥胖者[57.8%(119/206)比34.9%(188/538)]。同样，与非肥胖者相比，更多的肥胖者[10.3%(21/206)]符合高风险阻塞性睡眠呼吸暂停综合征的标准[3%(16/538)]；P<；0.001。在调整了吸烟和饮酒的Logistic回归模型中，与BMI为18.5-24.99的人群相比，体重指数为35公斤/平方米的人群患阻塞性睡眠呼吸暂停的风险为15.76(95%可信区间为7.44-33.9)。肥胖和阻塞性睡眠呼吸暂停综合症在尼日利亚可能比之前预测的更普遍。肥胖独立增加了这一人群中OSA的风险。
The contribution of obesity to obstructive sleep apnea (OSA) is poorly described in Nigeria. We aimed to compare OSA risk between obese and nonobese adults in urban Nigeria. An analytic cross-sectional study was conducted. Participants were interviewed using the World Health Organization Non-Communicable Disease questionnaire. OSA risk assessment was performed using the STOP-BANG questionnaire. A total score of ≥3 on the STOP-BANG questionnaire indicated OSA risk, whereas a score ≥5 indicated high OSA risk. Obesity was defined as body mass index (BMI) >30 kg/m2. Relationship between obesity and OSA was tested using chi-square and logistic regression models used to control for confounding factors. There were 744 respondents, with a mean age of 44 (standard deviation 10) years. A total of 206 [27.7%, 95% confidence interval (CI) 24.46–30.9] respondents were obese (BMI ≥30 kg/m2). A total of 307 (41.3%, 95% CI 37.7–44.9) respondents scored ≥3 on the STOP-BANG questionnaire, whereas 37 (4.9%, 95% CI 3.6–6.7) scored ≥5. More number of obese than nonobese [57.8% (119/206) versus 34.9% (188/538)] respondents met the criteria for OSA risk (P < 0.001). Similarly, more obese persons [10.3% (21/206)] met the criteria for high-risk OSA compared to the nonobese [3% (16/538)]; P < 0.001. In logistic regression models adjusted for cigarette smoking and alcohol consumption, the odds for OSA risk was 15.76 (95% CI 7.44–33.9) in persons with BMI >35 kg/m2 compared to those with a BMI range of 18.5–24.99. Obesity and OSA may be more prevalent in Nigeria than previously predicted. Obesity independently increased OSA risk in this population.