131 Salivary film thickness and MUC5B levels 31. Dijkema T, Terhaard CH, Roesink JM, Raaijmakers CP, van den Keijbus PA, Brand HS, et al. MUC5B levels in submandibular gland saliva of patients treated with radiotherapy for head-and-neck cancer: a pilot study. Radiat Oncol. 2012;7:91. doi: 10.1186/1748-717x-7-91. 32. Sonesson M, Wickström C, Kinnby B, Ericson D, Matsson L. Mucins MUC5B and MUC7 in minor salivary gland secretion of children and adults. Archives of oral biology. 2008;53(6):523-7. doi: 10.1016/j.archoralbio.2008.01.002. 33. Silva DG, Stevens RH, Macedo JM, Hirata R, Pinto AC, Alves LM, et al. Higher levels of salivary MUC5B and MUC7 in individuals with gastric diseases who harbor Helicobacter pylori. Archives of oral biology. 2009;54(1):86-90. doi: 10.1016/j. archoralbio.2008.08.003. 34. Veerman EC, Bolscher JG, Appelmelk BJ, Bloemena E, van den Berg TK, Nieuw Amerongen AV. A monoclonal antibody directed against high M(r) salivary mucins recognizes the SO3-3Gal beta 1-3GlcNAc moiety of sulfo-Lewis(a): a histochemical survey of human and rat tissue. Glycobiology. 1997;7(1):37-43. doi: 10.1093/glycob/7.1.37. 35. Ligtenberg AJM, Meuffels M, Veerman ECI. Effects of environmental temperature on saliva flow rate and secretion of protein, amylase and mucin 5B. Arch. Oral Biol. 2020;109:104593. doi: 10.1016/j.archoralbio.2019.104593. 36. Hallgren KA. Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial. Tutorials in quantitative methods for psychology. 2012;8(1):23-34. 37. McGraw K, Wong SP. Forming Inferences About Some Intraclass Correlation Coefficients. Psychological Methods. 1996;1:30-46. doi: 10.1037/1082-989X.1.1.30. 38. Koo TK, Li MY. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. Journal of chiropractic medicine. 2016;15(2):15563. doi: 10.1016/j.jcm.2016.02.012. 39. Akoglu H. User’s guide to correlation coefficients. Turkish journal of emergency medicine. 2018;18(3):91-3. doi: 10.1016/j.tjem.2018.08.001. 40. Marcoulides KM, Raykov T. Evaluation of Variance Inflation Factors in Regression Models Using Latent Variable Modeling Methods. Educ Psychol Meas. 2019;79(5):87482. doi: 10.1177/0013164418817803. 41. Kim JH. Multicollinearity and misleading statistical results. Korean J Anesthesiol. 2019;72(6):558-69. doi: 10.4097/kja.19087. 42. Dawes C. Salivary flow patterns and the health of hard and soft oral tissues. Journal of the American Dental Association (1939). 2008;139 Suppl:18s-24s. doi: 10.14219/jada. archive.2008.0351. 43. Assy Z, Brand HS, Ligtenberg AJM. [The relationship between xerostomia and saliva secretion in young adults]. Nederlands tijdschrift voor tandheelkunde. 2020;127(10):573-80. doi: 10.5177/ntvt.2020.10.19121. 44. Thomson WM. Measuring change in dry-mouth symptoms over time using the Xerostomia Inventory. Gerodontology. 2007;24(1):30-5. doi: 10.1111/j.17412358.2007.00137.x. 45. Thomson WM, Chalmers JM, Spencer AJ, Slade GD. Medication and dry mouth: findings from a cohort study of older people. Journal of public health dentistry. 2000;60(1):12-20. doi: 10.1111/j.1752-7325.2000.tb03286.x. 6
RkJQdWJsaXNoZXIy MTk4NDMw