Article Data

  • Views 478
  • Dowloads 75

Original Research

Open Access

Associations of Sleep Disturbance, Atopy, and Other Health Measures with Chronic Overlapping Pain Conditions

  • Anne E. Sanders1,*,
  • Joel D. Greenspan2
  • Roger B. Fillingim3
  • Nuvan Rathnayaka4
  • Richard Ohrbach5
  • Gary D. Slade6

1Division of Pediatric and Public Health, Adams School of Dentistry, Department of Dental Ecology, University of North Carolina, Chapel Hill, North Carolina, USA

2Department of Neural and Pain Sciences, Brotman Facial Pain Clinic, School of Dentistry, University of Maryland, Baltimore, Maryland, USA

3Department of Community Dentistry & Behavioral Science, Pain Research and Intervention Center of Excellence, College of Dentistry, University of Florida, Gainesville, Florida, USA

4Department of Biostatistics, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA

5Department of Oral Diagnostic Sciences, University at Buffalo School of Dental Medicine, Buffalo, New York, USA

6Division of Pediatric and Public Health, Adams School of Dentistry, Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina, USA

DOI: 10.11607/ofph.2577 Vol.34,Issue S1,April 2020 pp.73-84

Submitted: 07 August 2019 Accepted: 02 April 2020

Published: 30 April 2020

*Corresponding Author(s): Anne E. Sanders E-mail: anne_sanders@unc.edu

Abstract

Aims: To quantify the contributions of atopic disorders, sleep disturbance, and other health conditions to five common pain conditions. Methods: This cross-sectional analysis used data from 655 participants in the OPPERA study. The authors investigated the individual and collective associations of five chronic overlapping pain conditions (COPCs) with medically diagnosed atopic disorders and self-reported sleep disturbance, fatigue, and symptoms of obstructive sleep apnea. Atopic disorders were allergies, allergic rhinitis, atopic dermatitis, allergic asthma, urticaria, allergic conjunctivitis, and food allergy. Logistic regression models estimated odds ratios as measures of association with temporomandibular disorders, headache, irritable bowel syndrome, low back pain, and fibromyalgia. Measures of sleep and atopy disorders were standardized to z scores to determine the relative strength of their associations with each COPC. Sociodemographic characteristics and body mass index were covariates. Random forest regression analyzed all variables simultaneously, computing importance metrics to determine which variables best differentiated pain cases from controls. Results: Fatigue and sleep disturbance were strongly associated with each COPC and with the total number of COPCs. An increase of one standard deviation in fatigue or sleep disturbance score was associated with approximately two-fold greater odds of having a COPC. In random forest models, atopic disorders contributed more than other health measures to differentiating between cases and controls of headache, whereas other COPCs were best differentiated by measures of fatigue or sleep. Conclusion: Atopic disorders, previously recognized as predictors of poor sleep, are associated with COPCs after accounting for sleep problems.

Keywords

allergy; atopy; fatigue; sleep disturbance; symptom cluster

Cite and Share

Anne E. Sanders,Joel D. Greenspan,Roger B. Fillingim,Nuvan Rathnayaka,Richard Ohrbach,Gary D. Slade. Associations of Sleep Disturbance, Atopy, and Other Health Measures with Chronic Overlapping Pain Conditions. Journal of Oral & Facial Pain and Headache. 2020. 34(S1);73-84.

References

1. Aaron LA, Burke MM, Buchwald D. Overlapping conditions among patients with chronic fatigue syndrome, fibromyalgia, and temporomandibular disorder. Arch Intern Med 2000;160:221–227.

2. Alsaadi SM, McAuley JH, Hush JM, Maher CG. Prevalence of sleep disturbance in patients with low back pain. Eur Spine J 2011;20:737–743.

3. Jarrett M, Heitkemper M, Cain KC, Burr RL, Hertig V. Sleep disturbance influences gastrointestinal symptoms in women with irritable bowel syndrome. Dig Dis Sci 2000;45:952–959.

4. Ødegård SS, Engstrøm M, Sand T, Stovner LJ, Zwart JA, Hagen K. Associations between sleep disturbance and primary headaches: The third Nord-Trøndelag Health Study. J Headache Pain 2010;11:197–206.

5. Lavigne G, Zucconi M, Castronovo C, Manzini C, Marchettini P, Smirne S. Sleep arousal response to experimental thermal stimulation during sleep in human subjects free of pain and sleep problems. Pain 2000;84:283–290.

6. Lautenbacher S, Kundermann B, Krieg JC. Sleep deprivation and pain perception. Sleep Med Rev 2006;10:357–369.

7. Finan PH, Goodin BR, Smith MT. The association of sleep and pain: An update and a path forward. J Pain 2013;14: 1539–1552.

8. Rains JC, Davis RE, Smitherman TA. Tension-type headache and sleep. Curr Neurol Neurosci Rep 2015;15:520.

9. Sanders AE, Akinkugbe AA, Bair E, Fillingim RB, Greenspan JD, Ohrbach R, et al. Subjective sleep quality deteriorates before development of painful temporomandibular disorder. J Pain 2016;17:669–677.

10. Sanders AE, Slade GD, Bair E, et al. General health status and incidence of first-onset temporomandibular disorder: The OPPERA prospective cohort study. J Pain 2013;14(12 suppl):T51–T62.

11. McNicholas WT, Tarlo S, Cole P, et al. Obstructive apneas during sleep in patients with seasonal allergic rhinitis. Am Rev Respir Dis 1982;126:625–628.

12. Young T, Finn L, Kim H. Nasal obstruction as a risk factor for sleep-disordered breathing. The University of Wisconsin Sleep and Respiratory Research Group. J Allergy Clin Immunol 1997;99:s757–s762.

13. Stuck BA, Czajkowski J, Hagner AE, et al. Changes in daytime sleepiness, quality of life, and objective sleep patterns in seasonal allergic rhinitis: A controlled clinical trial. J Allergy Clin Immunol 2004;113:663–668.

14. Beltrani VS. Managing atopic dermatitis. Dermatol Nurs 1999; 11:171–176,179–185.

15. Chang YS, Chou YT, Lee JH, et al. Atopic dermatitis, melatonin, and sleep disturbance. Pediatrics 2014;134:e397–e405.

16. Chang YS, Chiang BL. Sleep disorders and atopic dermatitis: A 2-way street? J Allergy Clin Immunol 2018;142:1033–1040.

17. Silverberg JI. Association between childhood eczema and headaches: An analysis of 19 US population-based studies. J Allergy Clin Immunol 2016;137:492.e5–499.e5.

18. von Elm E, Altman DG, Egger M, et al. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet 2007;370:1453–1457.

19. Slade GD, Bair E, By K, et al. Study methods, recruitment, sociodemographic findings, and demographic representativenessin the OPPERA study. J Pain 2011;12(11 suppl):T12–T26.

20. Bair E, Brownstein NC, Ohrbach R, Greenspan JD, Dubner R, Fillingim RB, et al. Study protocol, sample characteristics, and loss to follow-up: The OPPERA prospective cohort study. J Pain 2013;14(12 suppl):T2–T19.

21. Schiffman E, Ohrbach R, Truelove E, et al. Diagnostic Criteria for Temporomandibular Disorders (DC/TMD) for clinical and research applications: Recommendations of the International RDC/TMD Consortium Network* and Orofacial Pain Special Interest Group. J Oral Facial Pain Headache 2014;28:6–27.

22. Headache Classification Committee of the International Headache Society (IHS). The International Classification of Headache Disorders, 3rd edition. Cephalalgia 2018;38:1–211.

23. Lipton RB, Dodick D, Sadovsky R, et al. A self-administered screener for migraine in primary care: The ID Migraine validation study. Neurology 2003;61:375–382.

24. Longstreth GF, Thompson WG, Chey WD, Houghton LA, Mearin F, Spiller RC. Functional bowel disorders. Gastro-enterology 2006;130:1480–1491.

25. Dionne CE, Dunn KM, Croft PR, et al. A consensus approach toward the standardization of back pain definitions for use in prevalence studies. Spine (Phila Pa 1976) 2008;33:95–103.

26. Wolfe F, Smythe HA, Yunus MB, et al. The American College of Rheumatology 1990 Criteria for the Classification of Fibromyalgia. Report of the Multicenter Criteria Committee. Arthritis Rheum 1990;33:160–172.

27. Christodoulou C, Schneider S, Junghaenel DU, Broderick JE, Stone AA. Measuring daily fatigue using a brief scale adapted from the Patient-Reported Outcomes Measurement Information System (PROMIS). Qual Life Res 2014;23:1245–1253.

28. Ameringer S, Elswick RK Jr, Menzies V, et al. Psychometric evaluation of the patient-reported outcomes measurement information system fatigue-short form across diverse popula-tions. Nurs Res 2016;65:279–289.

29. Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: A new instrument for psychiatric practice and research. Psychiatry Res 1989; 28:193–213.

30. Backhaus J, Junghanns K, Broocks A, Riemann D, Hohagen F. Test-retest reliability and validity of the Pittsburgh Sleep Quality Index in primary insomnia. J Psychosom Res 2002;53: 737–740.

31. Grandner MA, Kripke DF, Yoon IY, Youngstedt SD. Criterion validity of the Pittsburgh Sleep Quality Index: Investigation in a non-clinical sample. Sleep Biol Rhythms 2006;4:129–139.

32. Mollayeva T, Thurairajah P, Burton K, Mollayeva S, Shapiro CM, Colantonio A. The Pittsburgh Sleep Quality Index as a screening tool for sleep dysfunction in clinical and non-clinical samples: A systematic review and meta-analysis. Sleep Med Rev 2016;25:52–73.

33. Chung F, Yegneswaran B, Liao P, et al. STOP questionnaire: A tool to screen patients for obstructive sleep apnea. Anesthesiology 2008;108:812–821.

34. Richardson DB, Rzehak P, Klenk J, Weiland SK. Analyses of case-control data for additional outcomes. Epidemiology 2007;18:441–445.

35. Monsees GM, Tamimi RM, Kraft P. Genome-wide association scans for secondary traits using case-control samples. Genet Epidemiol 2009;33:717–728.

36. Bair E, Ohrbach R, Fillingim RB, et al. Multivariable modeling of phenotypic risk factors for first-onset TMD: The OPPERA pro-spective cohort study. J Pain 2013;14(12 suppl):T102–T115.

37. Tang F, Ishwaran H. Random Forest Missing Data Algorithms. Stat Anal Data Min 2017;10:363–377.

38. Fernández-Delgado M, Cernadas E, Barro S, Amorim D. Do we need hundreds of classifiers to solve real world classification problems? J Machine Learning Res 2014;15:3133–3181.

39. Lever J, Krzywinski M, Altman N. Points of significance: Classification evaluation. Nature Methods 2016;13:603–604.

40. Rufibach K. Use of Brier score to assess binary predictions. J Clin Epidemiol 2010;63:938–939.

41. Wallach H. Evaluation metrics for hard classifiers [technical report]. Cambridge: Cavendish Laboratory, University of Cambridge, 2006.

42. Cormier RE. Sleep disturbances. In: Walker HK, Hall WD, Hurst JW (eds). Clinical Methods: The History, Physical, and Laboratory Examinations, ed 3. Boston: Butterworths, 1990.

43. Sanders AE, Essick GK, Fillingim R, et al. Sleep apnea symptoms and risk of temporomandibular disorder: OPPERA cohort. J Dent Res 2013;92(7 suppl):70S–77S.

44. Kluger BM, Krupp LB, Enoka RM. Fatigue and fatigability in neurologic illnesses: Proposal for a unified taxonomy. Neurology 2013;80:409–416.

45. Stedman TL. Stedman’s Medical Dictionary. Philadelphia: Lippincott Williams & Wilkins, 2000.

46. Jones MP, Walker MM, Ford AC, Talley NJ. The overlap of atopy and functional gastrointestinal disorders among 23,471 patients in primary care. Aliment Pharmacol Ther 2014;40: 382–391.

47. Schneider S, Mohnen SM, Schiltenwolf M, Rau C. Comorbidity of low back pain: Representative outcomes of a national health study in the Federal Republic of Germany. Eur J Pain 2007;11:387–397.

48. Theoharides TC, Donelan J, Kandere-Grzybowska K, Konstantinidou A. The role of mast cells in migraine patho-physiology. Brain Res Brain Res Rev 2005;49:65–76.

49. Logadottir Y, Delbro D, Fall M, al. Cytokine expression in patients with bladder pain syndrome/interstitial cystitis ESSIC type 3C. J Urol 2014;192:1564–1568.

50. Done JD, Rudick CN, Quick ML, Schaeffer AJ, Thumbikat P. Role of mast cells in male chronic pelvic pain. J Urol 2012;187:1473–1482.

51. Blanco I, Béritze N, Argüelles M, et al. Abnormal overexpression of mastocytes in skin biopsies of fibromyalgia patients. Clin Rheumatol 2010;29:1403–1412.

52. Harlow BL, He W, Nguyen RH. Allergic reactions and risk of vulvodynia. Ann Epidemiol 2009;19:771–777.

53. Goetsch MF, Morgan TK, Korcheva VB, Li H, Peters D, Leclair CM. Histologic and receptor analysis of primary and secondary vestibulodynia and controls: A prospective study. Am J Obstet Gynecol 2010;202:614.e1–e8.

54. Forsythe P, Bienenstock J. The mast cellnerve functional unit: A key component of physiologic and pathophysiologic responses. Chem Immunol Allergy 2012;98:196–221.

55. Pinho-Ribeiro FA, Verri WA Jr, Chiu IM. Nociceptor sensory neuron-immune interactions in pain and inflammation. Trends Immunol 2017;38:5–19.

56. Ren K, Dubner R. Interactions between the immune and nervous systems in pain. Nat Med 2010;16:1267–1276.

57. Aich A, Afrin LB, Gupta K. Mast cell-mediated mechanisms of nociception. Int J Mol Sci 2015;16:29069–29092.

58. Chatterjea D, Martinov T. Mast cells: Versatile gatekeepers of pain. Mol Immunol 2015;63:38–44.

59. Gupta K, Harvima IT. Mast cell-neural interactions contribute to pain and itch. Immunol Rev 2018;282:168–187.

60. Shiri R, Karppinen J, Leino-Arjas P, Solovieva S, Viikari-Juntura E. The association between obesity and low back pain: A meta-analysis. Am J Epidemiol 2010;171:135–154.

61. Mork PJ, Vasseljen O, Nilsen TI. Association between physical exercise, body mass index, and risk of fibromyalgia: Longitudinal data from the Norwegian Nord-Trøndelag Health Study. Arthritis Care Res (Hoboken) 2010;62:611–617.

62. Yunus MB, Arslan S, Aldag JC. Relationship between body mass index and fibromyalgia features. Scand J Rheumatol 2002;31:27–31.

63. Ornello R, Ripa P, Pistoia F, et al. Migraine and body mass index categories: A systematic review and meta-analysis of observational studies. J Headache Pain 2015;16:27.

64. Lacy BE, Patel NK. Rome Criteria and a Diagnostic Approach to Irritable Bowel Syndrome. J Clin Med 2017;6(11). pii: E99.

Abstracted / indexed in

Science Citation Index (SCI)

Science Citation Index Expanded (SCIE)

BIOSIS Previews

Scopus

Cumulative Index to Nursing and Allied Health Literature (CINAHL)

Submission Turnaround Time

Conferences

Top