The Associations between Anthropometric Indices and Obstructive Sleep Apnea in a Korean Population

Kang, Hyeon Hui; Kang, Ji Young; Ha, Jeonghoon; Lee, Jongmin; Kim, Sung Kyoung; Moon, Hwa Sik; Lee, Sang Haak

doi:10.1371/journal.pone.0114463

Cited by 60 publications

(55 citation statements)

References 28 publications

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“…Twenty of the included studies used a cross sectional design [10], [11], [13], [23], [24], [25], [26], [27], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37], [38], [39], nine were case controlled [5], [12], [40], [41], [42], [43], [44], [45], [46], and two were cohort studies [47], [48]. Eleven were conducted in Asia (five studies in Korea, two studies in India, one study in Israel, one study in Taiwan, one study in Japan, and one study in Pakistan) [5], [11], [24], [25], [28], [29], [30], [38], [39], [40], [42]; ten in US [13], [23], [27], [34], [35], [36], [37], [44], [47], [48], four in Australia [33], [43], [45], [46]; five in Europe (Denmark, United Kingdom, Ireland, Norway, Germany) [10], [12], [26], [32], [41], and one in Africa [31].…”

Section: Resultsmentioning

confidence: 99%

“…Eleven were conducted in Asia (five studies in Korea, two studies in India, one study in Israel, one study in Taiwan, one study in Japan, and one study in Pakistan) [5], [11], [24], [25], [28], [29], [30], [38], [39], [40], [42]; ten in US [13], [23], [27], [34], [35], [36], [37], [44], [47], [48], four in Australia [33], [43], [45], [46]; five in Europe (Denmark, United Kingdom, Ireland, Norway, Germany) [10], [12], [26], [32], [41], and one in Africa [31].…”

Section: Resultsmentioning

confidence: 99%

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Alcohol and the risk of sleep apnoea: a systematic review and meta-analysis

2018

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ObjectiveA systematic review and meta-analysis of the association between alcohol consumption and risk of sleep apnoea in adults.MethodsWe searched Medline, EMBASE and Web of Science databases from 1985 to 2015 for comparative epidemiological studies assessing the relation between alcohol consumption and sleep apnoea. Two authors independently screened and extracted data. Random effects meta-analysis was used to estimate pooled effect sizes with 95% confidence intervals (CI). Heterogeneity was quantified using I2 and explored using subgroup analyses based on study exposure and outcome measures, quality, design, adjustment for confounders and geographical location. Publication bias was assessed using a funnel plot and Egger's test.ResultsWe identified 21 studies from which estimates of relative risk could be obtained. Meta-analysis of these estimates demonstrated that higher levels of alcohol consumption increased the risk of sleep apnoea by 25% (RR 1.25, 95%CI 1.13–1.38, I2 = 82%, p < 0.0001). This estimate's differences were robust in alcohol consumption and sleep apnoea definitions, study design, and quality but was greater in Low and Middle Income Country locations. We detected evidence of publication bias (p = 0.001). A further eight included studies reported average alcohol consumption in people with and without sleep apnoea. Meta-analysis revealed that mean alcohol intake was two units/week higher in those with sleep apnoea, but this difference was not statistically significant (p = 0.41).ConclusionThese findings suggest that alcohol consumption is associated with a higher risk of sleep apnoea, further supporting evidence that reducing alcohol intake is of potential therapeutic and preventive value in this condition.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Alcohol and the risk of sleep apnoea: a systematic review and meta-analysis

2018

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“…According to Pływaczewski's study [29], in men the neck circumference value is higher and equals 46 ±3.4 cm, and, moreover, patients with obesity and abnormal neck circumference were more often diagnosed with obstructive sleep apnoea. Similarly, in the study by Kang et al [30] a crucial influence of increased anthropometric indicators (neck circumference and BMI) on the occurrence of obstructive sleep apnoea has been proven. In a metaanalysis by Cho et al [31], only neck circumference was strongly associated with obstructive sleep apnoea, and no influence of BMI, waist circumference, or ratio of waist and hip was proven.…”

Section: Discussionmentioning

confidence: 69%

Socio-demographic differentiation of selected risk factors in a group of patients with respiratory system diseases

Bartoszek¹,

Kocka²,

Dejneka³

et al. 2017

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Introduction: Tobacco smoking is the major risk factor of respiratory system diseases. However, it is worth noticing other crucial factors increasing the risk of such diseases, such as alcohol consumption, obesity, excess fat tissue around the neck and throat, malnutrition, tranquilisers and soporifics, and previous respiratory system diseases. Aim of the research: To analyse the socio-demographic differentiation of selected respiratory system diseases risk factors in a group of pulmonological patients. Material and methods: The research covered 126 pulmonological patients with chronic obstructive pulmonary disease (COPD), tuberculosis, or lung cancer. The study employed standardised research tools: the Fagerström test, Mini Nutritional Assessment (MNA), and a self-designed questionnaire. Neck circumference and body weight measurements were performed to calculate body mass index and waist-hip ratio. The significance level was established at p < 0.05. Results: Most patients smoked tobacco in the past or were active smokers. Over 50% reported occasional alcohol drinking and demonstrated malnutrition risk or abdominal obesity. Smoking was more often practised by men, people with lower education, and COPD and tuberculosis patients. Malnutrition risk was associated with tuberculosis and lung cancer. Tobacco consumption as a respiratory system diseases risk factor more often applied to men and people below 50 years of age. The use of soporifics increased with age and concerned lung cancer patients. Previous respiratory system diseases correlated with the respondents' education. Conclusions:The most frequent respiratory system diseases risk factors are smoking, malnutrition, and abdominal obesity. Respiratory system diseases risk factors are significantly correlated with sex, age, place of residence, and previous respiratory system diseases.

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“…The STOP-BANG questionnaire misclassified 51/182 (28%) patients with OSA and had a sensitivity of 82.8% (95% CI 71.9-90.8), a specificity of 65.2% (95% CI 55.6-73.9), the positive likelihood ratio was 2.38 and the negative likelihood ratio was 0.26 when compared to the level III sleep study. On exploratory ROC analysis using our data as a derivation dataset, a modified STOP-BANG questionnaire with an age cutoff of 40 years, a BMI of 28 and a neck circumference of 36 cm [16,17] was used to test the performance of the questionnaire. Sensitivity improved to 90% (95% CI 80.5-95.9) with a loss of specificity (18.8% [95% CI 12-27.2]) when compared to the level III sleep study.…”

Section: Resultsmentioning

confidence: 99%

Undiagnosed Obstructive Sleep Apnea and Postoperative Outcomes: A Prospective Observational Study

et al. 2017

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Background: The prevalence of undiagnosed obstructive sleep apnea (OSA) during preoperative evaluation and the best method to screen OSA and its association with postoperative complications remain unclear. Objectives: To determine the prevalence of undiagnosed OSA in preoperative Indian patients undergoing noncardiac surgery, to compare the diagnostic accuracy of the STOP-BANG questionnaire to a preoperative level III sleep study, and to assess the association of OSA with postoperative complications. Methods: A prospective cohort of 245 consecutive adults with ≥2 risk factors for OSA who underwent noncardiac surgery between July 2011 and February 2013 were studied. The STOP-BANG questionnaire was administered to all patients, and 182/245 (74.2%) patients underwent a preoperative level III sleep study. Patients were followed for postoperative complications in hospital and contacted at 30 days after surgery. Results: 70/182 (38.5%) obtained a new diagnosis of OSA, including 11/182 (6%) with moderate to severe OSA (apnea-hypopnea index ≥15/h). On logistic regression analyses, the presence of OSA was independently associated with postoperative oxygen desaturation (OR 5.96, 95% CI 2.35-15.1, p < 0.01), a postoperative complication within 7 days (OR 3.63, 95% CI 1.77-7.45, p < 0.01) and within 30 days (OR 3.5, 95% CI 1.74-7.1, p < 0.01). The STOP-BANG questionnaire did not identify 12/70 (17%) of the patients diagnosed with OSA and classified 28% of the cohort as OSA when the level III sleep study was negative. Conclusions: Unrecognized OSA is common in preoperative patients and is independently associated with postoperative complications. The STOP-BANG questionnaire had a lower performance in the diagnosis of OSA in a South Indian population than the level III sleep study.

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The Associations between Anthropometric Indices and Obstructive Sleep Apnea in a Korean Population

Cited by 60 publications

References 28 publications

Alcohol and the risk of sleep apnoea: a systematic review and meta-analysis

Alcohol and the risk of sleep apnoea: a systematic review and meta-analysis

Socio-demographic differentiation of selected risk factors in a group of patients with respiratory system diseases

Undiagnosed Obstructive Sleep Apnea and Postoperative Outcomes: A Prospective Observational Study

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