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Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics

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Abstract

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 circumferences, 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/h; 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, and waist and neck circumferences vs. AHI, sleep, and neuropsychological variables.

Results

BMI, and 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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Abbreviations

AHI:

Apnea–hypopnea index

AI:

Arousal index

BAI:

Beck Anxiety Inventory

BDI-II:

Beck Depression Inventory (II)

BMI:

Body mass index

BP:

Blood pressure

ESS:

Epworth sleepiness scale

HR:

Heart rate

MoCA:

Montreal cognitive assessment

OSA:

Obstructive sleep apnea

PSG:

Polysomnography

PSQI:

Pittsburgh sleep quality index

SaO2 nadir:

Lowest oxygen saturation rate

∆SaO2 :

SaO2 baseline–SaO2 nadir

SEI:

Sleep-efficiency index

TMT:

Trail-making tests

References

  1. Peppard PE, Young T, Barnet JH, Palta M, Hagen EW, Hla KM. Increased prevalence of sleep-disordered breathing in adults. Am J Epidemiol. 2013;177(9):1006–14.

    Article  Google Scholar 

  2. Lee W, Nagubadi S, Kryger MH, Mokhlesi B. Epidemiology of obstructive sleep apnea: a population-based perspective. Expert Rev Respir Med. 2008;2(3):349–64.

    Article  Google Scholar 

  3. Knauert M, Naik S, Gillespie MB, Kryger M. Clinical consequences and economic costs of untreated obstructive sleep apnea syndrome. World J Otorhinolaryngol Head Neck Surg. 2015;1(1):17–27.

    Article  Google Scholar 

  4. Cook NR, Cohen J, Hebert PR, Taylor JO, Hennekens CH. Implications of small reductions in diastolic blood pressure for primary prevention. Arch Intern Med. 1995;155(7):701–9.

    Article  CAS  Google Scholar 

  5. Sasaki N, Ozono R, Edahiro Y, Okita T, Teramen K, Kisaka T, Fujiwara S, Kihara Y. Short-term blood pressure variability in hypertensive patients with obstructive sleep apnea syndrome. Sleep Biol Rhythms. 2014;13(2):117–26.

    Article  Google Scholar 

  6. Shi J, Piao J, Liu B, Pan Y, Gong Y, Deng X, Sun W, Lu S, Li Y. Obstructive sleep apnea increases systolic and diastolic blood pressure variability in hypertensive patients. Blood Press Monit. 2017;22(4):208–12.

    Article  Google Scholar 

  7. Nasilowska-Barud A, Kowalik M. Characteristics of depressive changes and anxiety in patients with essential hypertension. Ann Univ Mariae Curie Sklodowska Med. 2004;59(1):428–33.

    PubMed  Google Scholar 

  8. Dumitrescu A, Dumitrescu DM, Lepadatu D, Molfea VA, Pandele GI. Clinical characteristics of depressive disorders in hypertensive patients. Rev Med Chir Soc Med Nat Iasi. 2009;113(2):386–90.

    PubMed  Google Scholar 

  9. Regestein Q, Natarajan V, Pavlova M, Kawasaki S, Gleason R, Koff E. Sleep debt and depression in female college students. Psychiatry Res. 2010;176(1):34–9.

    Article  Google Scholar 

  10. Slater G, Steier J. Excessive daytime sleepiness in sleep disorders. J Thorac Dis. 2012;4(6):608–16.

    PubMed  PubMed Central  Google Scholar 

  11. Bucks RS, Olaithe M, Eastwood P. Neurocognitive function in obstructive sleep apnoea: a meta-review. Respirology. 2013;18(1):61–70.

    Article  Google Scholar 

  12. Young T, Peppard PE, Taheri S. Excess weight and sleep-disordered breathing. J Appl Physiol. (1985). 2005;99(4):1592–9.

    Article  Google Scholar 

  13. Rajala R, Partinen M, Sane T, Pelkonen R, Huikuri K, Seppalainen AM. Obstructive sleep apnoea syndrome in morbidly obese patients. J Intern Med. 1991;230(2):125–9.

    Article  CAS  Google Scholar 

  14. Richman RM, Elliott LM, Burns CM, Bearpark HM, Steinbeck KS, Caterson ID. The prevalence of obstructive sleep apnoea in an obese female population. Int J Obes Relat Metab Disord. 1994;18(3):173–7.

    CAS  PubMed  Google Scholar 

  15. Vgontzas AN, Tan TL, Bixler EO, Martin LF, Shubert D, Kales A. Sleep apnea and sleep disruption in obese patients. Arch Intern Med. 1994;154(15):1705–11.

    Article  CAS  Google Scholar 

  16. Laaban JP, Cassuto D, Orvoen-Frija E, Iliou MC, Mundler O, Leger D, Oppert JM. Cardiorespiratory consequences of sleep apnoea syndrome in patients with massive obesity. Eur Respir J. 1998;11(1):20–7.

    Article  CAS  Google Scholar 

  17. Van Boxem TJ, De Groot GH. Prevalence and severity of sleep disordered breathing in a group of morbidly obese patients. Neth J Med. 1999;54(5):202–6.

    Article  Google Scholar 

  18. Punjabi NM, Sorkin JD, Katzel LI, Goldberg AP, Schwartz AR, Smith PL. Sleep-disordered breathing and insulin resistance in middle-aged and overweight men. Am J Respir Crit Care Med. 2002;165(5):677–82.

    Article  Google Scholar 

  19. Vgontzas AN, Papanicolaou DA, Bixler EO, Hopper K, Lotsikas A, Lin HM, Kales A, Chrousos GP. Sleep apnea and daytime sleepiness and fatigue: relation to visceral obesity, insulin resistance, and hypercytokinemia. J Clin Endocrinol Metab. 2000;85(3):1151–8.

    Article  CAS  Google Scholar 

  20. Millman RP, Carlisle CC, Mcgarvey ST, Eveloff SE, Levinson PD. Body fat distribution and sleep apnea severity in women. Chest. 1995;107(2):362–6.

    Article  CAS  Google Scholar 

  21. Dancey DR, Hanly PJ, Soong C, Lee B, Shepard J Jr, Hoffstein V. Gender differences in sleep apnea: the role of neck circumference. Chest. 2003;123(5):1544–50.

    Article  Google Scholar 

  22. Kang HH, Kang JY, Ha JH, Lee J, Kim SK, Moon HS, Lee SH. The associations between anthropometric indices and obstructive sleep apnea in a Korean population. PLoS ONE. 2014;9(12):e114463.

    Article  Google Scholar 

  23. Ahbab S, Ataoglu HE, Tuna M, Karasulu L, Cetin F, Temiz LU, Yenigun M. Neck circumference, metabolic syndrome and obstructive sleep apnea syndrome: evaluation of possible linkage. Med Sci Monit. 2013;19:111–7.

    Article  CAS  Google Scholar 

  24. Onat A, Hergenc G, Yuksel H, Can G, Ayhan E, Kaya Z, Dursunoglu D. Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clin Nutr. 2009;28(1):46–51.

    Article  Google Scholar 

  25. Ho AW, Moul DE, Krishna J. Neck circumference-height ratio as a predictor of sleep related breathing disorder in children and adults. J Clin Sleep Med. 2016;12(3):311–7.

    Article  Google Scholar 

  26. Davidson TM, Patel MR. Waist circumference and sleep disordered breathing. Laryngoscope. 2008;118(2):339–47.

    Article  Google Scholar 

  27. Soylu AC, Levent E, Sariman N, Yurtlu S, Alparslan S, Saygi A. Obstructive sleep apnea syndrome and anthropometric obesity indexes. Sleep Breath. 2012;16(4):1151–8.

    Article  Google Scholar 

  28. Carpenter JS, Andrykowski MA. Psychometric evaluation of the Pittsburgh Sleep Quality Index. J Psychosom Res. 1998;45(1):5–13.

    Article  CAS  Google Scholar 

  29. Johns MW. Reliability and factor analysis of the Epworth sleepiness scale. Sleep. 1992;15(4):376–81.

    Article  CAS  Google Scholar 

  30. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131(7):485–91.

    Article  CAS  Google Scholar 

  31. Beck AT, Steer RA, Ball R, Ranieri W. Comparison of Beck Depression Inventories-IA and -II in psychiatric outpatients. J Pers Assess. 1996;67(3):588–97.

    Article  CAS  Google Scholar 

  32. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56(6):893–7.

    Article  CAS  Google Scholar 

  33. Moses JA Jr. Test review-comprehensive trail making test (CTMT). Arch Clin Neuropsychol. 2004;19(5):703–8.

    Article  Google Scholar 

  34. Tombaugh TN. Trail making test A and B: normative data stratified by age and education. Arch Clin Neuropsychol. 2004;19(2):203–14.

    Article  Google Scholar 

  35. Nasreddine ZS, Phillips NA, Bedirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc. 2005;53(4):695–9.

    Article  Google Scholar 

  36. Dopp JM, Reichmuth KJ, Morgan BJ. Obstructive sleep apnea and hypertension: mechanisms, evaluation, and management. Curr Hypertens Rep. 2007;9(6):529–34.

    Article  Google Scholar 

  37. Punjabi NM. The epidemiology of adult obstructive sleep apnea. Proc Am Thorac Soc. 2008;5(2):136–43.

    Article  Google Scholar 

  38. Peppard PE, Young T, Palta M, Dempsey J, Skatrud J. Longitudinal study of moderate weight change and sleep-disordered breathing. JAMA. 2000;284(23):3015–21.

    Article  CAS  Google Scholar 

  39. Cizza G, De Jonge L, Piaggi P, Mattingly M, Zhao X, Lucassen E, Rother KI, Sumner AE, Csako G, NIDDK Sleep Extension Study. Neck circumference is a predictor of metabolic syndrome and obstructive sleep apnea in short-sleeping obese men and women. Metab Syndr Relat Disord. 2014;12(4):231–41.

    Article  CAS  Google Scholar 

  40. Borges PT, Filho ES, Araujo TM, Neto JM, Borges NE, Neto BM, Campelo V, Paschoal JR, Li LM. Correlation of cephalometric and anthropometric measures with obstructive sleep apnea severity. Int Arch Otorhinolaryngol. 2013;17(3):321–8.

    PubMed  PubMed Central  Google Scholar 

  41. Kim JH, Koo YC, Cho HJ, Kang JW. Relationship between various anthropometric measures and apnea-hypopnea index in Korean men. Auris Nasus Larynx. 2017;45(2):295–300.

    Article  Google Scholar 

  42. Franco I, Reis R, Ferreira D, Xara S, Ferreira W, Bettencourt N, Antunes A. The impact of neck and abdominal fat accumulation on the pathogenesis of obstructive sleep apnea. Rev Port Pneumol. (2006). 2016;22(4):240–2.

    CAS  Google Scholar 

  43. Wu WT, Tsai SS, Shih TS, Lin MH, Chou TC, Ting H, Wu TN, Liou SH. The association between obstructive sleep apnea and metabolic markers and lipid profiles. PLoS ONE. 2015;10(6):e0130279.

    Article  Google Scholar 

  44. Buxton OM, Marcelli E. Short and long sleep are positively associated with obesity, diabetes, hypertension, and cardiovascular disease among adults in the United States. Soc Sci Med. 2010;71(5):1027–36.

    Article  Google Scholar 

  45. Wysocki J, Charuta A, Kowalcze K, Ptaszynska-Sarosiek I. Anthropometric and physiologic assessment in sleep apnoea patients regarding body fat distribution. Folia Morphol (Warsz). 2016;75(3):393–9.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors would like to thank Mr. Luke Ehlert, Ms. Karen A. Harada, and Ms. Kelly A. Hickey for their assistance with data collection.

Funding

This research work was supported by National Institutes of Health R01 HL-113251 and R01 NR-015038.

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Correspondence to Rajesh Kumar.

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The authors declare that they have no conflict of interest.

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Chloe Tom and Bhaswati Roy are equally first co-author.

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Tom, C., Roy, B., Vig, R. et al. Correlations Between Waist and Neck Circumferences and Obstructive Sleep Apnea Characteristics. Sleep Vigilance 2, 111–118 (2018). https://doi.org/10.1007/s41782-018-0041-1

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  • DOI: https://doi.org/10.1007/s41782-018-0041-1

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