Neck circumference. metabolic syndrome and obstructive sleep apnea syndrome; Evaluation of possible linkage

Ahbab, Süleyman; Ataoğlu, Hayriye Esra; Tuna, Mazhar Müslüm; Karasulu, Levent; Çetin, Faik; Temiz, Levent Ümit; Yenigün, Mustafa

doi:10.12659/msm.883776

Cited by 71 publications

(23 citation statements)

References 33 publications

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“…Several recent studies showed correlations of AHI with BMI, neck, and waist circumference, which is consistent with our study [22, 23, 39, 40]. However, there are mixed reports on better correlates, with few studies showing neck circumference as better correlated with AHI [23, 24, 39, 40], and others showing waist circumference as a better correlate [22, 41], findings which are consistent with our study. In addition, there are a few studies where BMI values are better correlates of AHI than waist and neck circumferences [42, 43].…”

Section: Discussionsupporting

confidence: 93%

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

et al. 2018

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PURPOSE The body mass index (BMI), an estimate of body fat, provides a rather imprecise indication of risk for obstructive sleep apnea (OSA). We examined whether other measures, including waist and neck circumference, provide improved indicators of risk in treatment-naïve OSA subjects. METHODS We studied 59 OSA subjects [age, 48.8±10.0 years; BMI, 31.9±6.6 kg/m2; apnea-hypopnea-index (AHI), 38.5±23.0 events/hour; sleep efficiency index (SEI, n=52), 78.6±14.4%; lowest oxygen saturation (SaO2 nadir), 79.5±8.0%; systolic blood pressure (BP), 127.4±15.7 mmHg; diastolic BP, 80.1±9.1 mmHg; 43 male), and determined waist and neck circumferences (waist, 107.4±15.3 cm; neck, 41.8±4.7 cm), daytime sleepiness [Epworth sleepiness scale (ESS), 8.7±4.6], sleep quality [Pittsburgh sleep quality index (PSQI), 8.5±4.1], depression levels [Beck depression inventory II (BDI-II), 6.6±5.7), and anxiety levels [Beck anxiety inventory (BAI), 6.2±7.2]. We used partial correlation procedures (covariates, age and gender) to examine associations between BMI, waist, and neck circumferences vs. AHI, sleep, and neuropsychological variables. RESULTS BMI, waist, and neck circumferences were significantly correlated with SaO2 nadir (BMI; r=−0.423, p=0.001; waist; r=−0.457, p<0.001; neck; r=−0.263, p=0.048), AHI (BMI; r=0.349, p=0.008; waist; r=0.459, p<0.001; neck; r=0.276, p=0.038), and systolic BP (BMI; r=0.354, p=0.007; waist; r=0.321, p=0.015; neck; r=0.388, p=0.003). SEI was significantly correlated with waist circumference (r=0.28, p=0.049), but higher with BMI (r=0.291, p=0.04). CONCLUSIONS No other significant waist or neck correlations emerged. This study suggests that waist and neck measures correlate better than BMI with select disease severity (SaO2 nadir and AHI) in OSA subjects. The findings offer an easily-measured, ancillary means to assess OSA risk.

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Section: Discussionsupporting

confidence: 93%

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

et al. 2018

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“…The reported figures of mean NC (men 43.2 cm vs. women 40.6 cm� by Ho et al �2011�. 16 Similar findings were observed by Ahbab et al (2013), that mean value of NC among men were significantly greater com� pared to women �P < 0.001�. 14 Apart from NC per se, we found that when corrected for height �NC/Ht� as a predic� tor for severity of OSA, MLR analysis result was not sig� nificant (P = 0.367� �Table 5�.…”

Section: Discussionsupporting

confidence: 83%

“…The mean value of BMI was reported to be higher in those with severe OSA with significant difference from the non�severe OSA �P = 0.02�. 14,28 From our study however, the result showed otherwise �r 2 = 0.04, P = 0.28� �Table 4�. Kasey et al �2000� showed that while higher BMI were reportedly associated with severity of OSA, the severity of OSA however persists despite after this factor was elimi� nated.…”

Section: Discussioncontrasting

confidence: 50%

“…13 The greater the NC the more severe the OSA will be, as evidenced by significantly higher in mean NC among the apneic subjects compared to non�apneic subjects. 14 Obese people in general have thicker neck as compared to that of non-obese people. The size of NC of 40 cm or more is more specific and sensitive to predict the severity of OSA when compared to other parameter such as body mass index �BMI�, 15,16 while 29% of female subjects with NC of more than 37.1 cm and male subjects with NC of more than 42.9 cm suffered from sleep�disordered breathing.…”

Section: Introductonmentioning

confidence: 99%

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Diabetes – the history of research and treatment

Baranowska-Jurkun

Stefanowicz-Rutkowska

Matuszewski

et al. 2020

Pol. Ann. Med.

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Introduction The history of diabetes is a fascinating journey – from the times before the current era to the modern day. This history is rich in a lot of discoveries, advancements in science and technology, renowned scientists, doctors and their achievements as well as challenges. Aim To present the history of research on diabetes and its treatment. Material and methods A review of literature concerning the history of research on diabetes and methods of its treatment. Results and discussion First descriptions of diabetes, today a well-known disease, date back to ancient Egypt; its mysteries were discovered by Hippocrates, Aretaeus of Cappadocia and an Arabic doctor Avicenna. The term ‘diabetes mellitus’ was first used in 1797 and the greatest breakthrough in research on diabetes took place in 1922, when insulin was discovered. This revolutionised the treatment, yet led to the development of a number of chronic vascular complications. Conclusions At present, diabetes – as a non-communicable disease – is perceived by the World Health Organisation as an epidemics, and only getting to know its history can mean having complete knowledge about the disease.

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“…NC has been also related to various metabolic risk factors such as blood pressure and lipids [ 3 , 4 ], independent of overall adiposity (body mass index) and central obesity (waist circumference or visceral adipose tissue) [ 1 ]. It remains unclear whether these risk factors modify the relation between NC and IR [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Synergistic effects of neck circumference and metabolic risk factors on insulin resistance: the Cardiometabolic Risk in Chinese (CRC) study

Liang

Teng

Liu

et al. 2014

Diabetol Metab Syndr

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ObjectivesRecent studies have associated neck circumference (NC) with insulin resistance (IR). We examined whether such relation was modified by other metabolic risk factors.MethodsThe study samples were from a community-based health examination survey in central China. A total of 2588 apparently healthy Chinese men and women were included.ResultsPlasma levels of total cholesterol (TC), HDL-C, uric acid (UA) and diastolic blood pressure (DBP) were independently associated with NC after adjusted for age, sex, body mass index (BMI), waist circumference (WC) and hip circumference (HC) (P = 0.009, 0.001, 0.015 and 0.015, respectively). We observed significant interactions of NC with triglyceride (TG) and UA (all the p for interaction = 0.001) in relation to HOMA-IR. It appeared that the associations between NC and HOMA-IR were more evident in those with higher UA or TG level.ConclusionsOur data indicate that in apparently healthy Chinese adults, there were synergistic effects of UA, TG and neck circumference on insulin resistance.

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Neck circumference. metabolic syndrome and obstructive sleep apnea syndrome; Evaluation of possible linkage

Cited by 71 publications

References 33 publications

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

Diabetes – the history of research and treatment

Synergistic effects of neck circumference and metabolic risk factors on insulin resistance: the Cardiometabolic Risk in Chinese (CRC) study

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