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Association between salivary flow rate and depressive symptoms with adjustment for genetic and family environmental factors in Japanese twin study

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Abstract

Objectives

The association between salivary flow rate (SFR) and depressive symptoms have been inconclusive. The present study aimed to investigate the association between SFR and depressive symptoms with and without adjustment for genetic and family environmental factors.

Materials and methods

We conducted a cross-sectional study using twins and measured SFR and depressive symptoms as the outcome and explanatory variables, respectively. We also performed three-step regression analyses by first analysing the association between SFR and depressive symptoms without adjustment for genetic and family environmental factors (individual-level analyses). We then performed between–within analyses using monozygotic (MZ) and same-sex dizygotic (DZ) twin pairs, and finally using only MZ twin pairs. These between–within analyses estimated the coefficients adjusted for genetic and family environmental factors. Furthermore, differences in the associations between individual-level and between–within suggest confounding by genetic and family environmental factors.

Results

We conducted 448 twins aged ≥20 years. In individual-level analyses in males and between–within analyses using MZ and same-sex DZ male twin pairs, SFR associated with depressive symptoms. In between–within analyses using only MZ male twin pairs, SFR did not associate with depressive symptoms. In females, SFR did not associate with depressive symptoms in both individual-level and between–within analyses.

Conclusions

The present study revealed that the association between SFR and depressive symptoms was affected by common genetic factors in males.

Clinical relevance

Understanding this association between SFR and depressive symptoms with adjustment for genetic and family environmental factors could lead to an important consideration for the prevention and treatment of hyposalivation.

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References

  1. Ikebe K, Morii K, Matsuda K et al (2006) Association of candidal activity with denture use and salivary flow in symptom-free adults over 60 years. J Oral Rehabil 33:36–42

  2. Ikebe K, Matsuda K, Morii K et al (2007) Impact of dry mouth and hyposalivation on oral health-related quality of life of elderly Japanese. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 103:216–222. doi:10.1016/j.tripleo.2005.12.001

    Article  PubMed  Google Scholar 

  3. Cunha-Cruz J, Scott J, Rothen M, et al (2013) Salivary characteristics and dental caries: evidence from general dental practices. J Am Dent Assoc 144(5):e31–e40

  4. Strongin EI, Hinsie LE (1938) Parotid gland secretions in manic-depressive patients. Am J Psychiatry 94:1459–1466

  5. Bolwig TG, Rafaelsen OJ (1972) Salivation in affective disorders. Psychol Med 2:232–238

    Article  PubMed  Google Scholar 

  6. Takiguchi T, Yoshihara A, Takano N, Miyazaki H (2015) Oral health and depression in older Japanese people. Gerodontology. doi:10.1111/ger.12177

    PubMed  Google Scholar 

  7. Bergdahl M, Bergdahl J (2000) Low unstimulated salivary flow and subjective oral dryness: association with medication, anxiety, depression, and stress. J Dent Res 79:1652–1658

    Article  PubMed  Google Scholar 

  8. Hugo FN, Hilgert JB, Corso S et al (2008) Association of chronic stress, depression symptoms and cortisol with low saliva flow in a sample of south-Brazilians aged 50 years and older. Gerodontology 25:18–25. doi:10.1111/j.1741-2358.2007.00188.x

    Article  PubMed  Google Scholar 

  9. Ohara Y, Hirano H, Yoshida H et al (2013) Prevalence and factors associated with xerostomia and hyposalivation among community-dwelling older people in Japan. Gerodontology. doi:10.1111/ger.12101

    PubMed  Google Scholar 

  10. Bergdahl J, Bergdahl M (2001) Environmental illness: evaluation of salivary flow, symptoms, diseases, medications, and psychological factors. Acta Odontol Scand 59:104–110

    Article  PubMed  Google Scholar 

  11. Kurushima Y, Ikebe K, Matsuda K et al (2015) Influence of genetic and environmental factors on oral diseases and function in aged twins. J Oral Rehabil 42:49–56. doi:10.1111/joor.12228

    Article  PubMed  Google Scholar 

  12. Sullivan PF, Neale MC, Kendler KS (2000) Genetic epidemiology of major depression: review and meta-analysis. Am J Psychiatr 157:1552–1562. doi:10.1176/appi.ajp.157.10.1552

    Article  PubMed  Google Scholar 

  13. Vatta MS, Hope SI, Prendes GM et al (2002) Salivary glands and noradrenergic transmission in diabetic rats. Auton Autocoid Pharmacol 22:65–71

    Article  Google Scholar 

  14. Lambert G, Johansson M, Agren H, Friberg P (2000) Reduced brain norepinephrine and dopamine release in treatment-refractory depressive illness: evidence in support of the catecholamine hypothesis of mood disorders. Arch Gen Psychiatry 57:787–793

    Article  PubMed  Google Scholar 

  15. Toda M, Ichikawa H (2012) Effect of laughter on salivary flow rates and levels of chromogranin a in young adults and elderly people. Environ Health Prev Med 17:494–499. doi:10.1007/s12199-012-0279-5

    Article  PubMed  PubMed Central  Google Scholar 

  16. Tennant C (2002) Life events, stress and depression: a review of recent findings. A N Z J Psychiat 36:173–182

    Article  Google Scholar 

  17. Carlin JB, Gurrin LC, Sterne JA et al (2005) Regression models for twin studies: a critical review. Int J Epidemiol 34:1089–1099. doi:10.1093/ije/dyi153

    Article  PubMed  Google Scholar 

  18. Dwyer T, Blizzard L (2005) A discussion of some statistical methods for separating within-pair associations from associations among all twins in research on fetal origins of disease. Paediatr Perinat Epidemiol 19(Suppl 1):48–53. doi:10.1111/j.1365-3016.2005.00615.x

    Article  PubMed  Google Scholar 

  19. Hayakawa K, Iwatani Y (2013) An overview of multidisciplinary research resources at the Osaka University Center for twin research. Twin Res Hum Genet : Off J Int Soc Twin Stud 16:217–220. doi:10.1017/thg.2012.141

    Article  Google Scholar 

  20. Krenke BE, Tereba A, Anderson SJ et al (2002) Validation of a 16-locus fluorescent multiplex system. J Forensic Sci 47:773–785

    Article  PubMed  Google Scholar 

  21. Ikebe K, Sajima H, Kobayashi S et al (2002) Association of salivary flow rate with oral function in a sample of community-dwelling older adults in Japan. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 94:184–190

    Article  PubMed  Google Scholar 

  22. Bougoeis A, Unes Le A, Michael M (2010) Full-sacle and short-form of profile of mood states: a factor analytic comparison. Journal of Sport Behavior 33(4):355–375

  23. Patterson K, Young C, Woods SP et al (2006) Screening for major depression in persons with HIV infection: the concurrent predictive validity of the profile of mood states depression-dejection scale. Int J Methods Psychiatr Res 15:75–82. doi:10.1002/mpr.184

    Article  PubMed  Google Scholar 

  24. Bergdahl M (2000) Salivary flow and oral complaints in adult dental patients. Community Dent Oral Epidemiol 28:59–66

    Article  PubMed  Google Scholar 

  25. Rad M, Kakoie S, Niliye Brojeni F, Pourdamghan N (2010) Effect of long-term smoking on whole-mouth salivary flow rate and oral health. J Dent Res Dent Clin Dent Prosp 4:110–114. doi:10.5681/joddd.2010.028

    Google Scholar 

  26. Wiener RC, Wiener MA, McNeil DW (2015) Comorbid depression/anxiety and teeth removed: behavioral risk factor surveillance system 2010. Community Dent Oral Epidemiol 43:433–443. doi:10.1111/cdoe.12168

    Article  PubMed  PubMed Central  Google Scholar 

  27. Luger TM, Suls J, Vander Weg MW (2014) How robust is the association between smoking and depression in adults? A meta-analysis using linear mixed-effects models. Addict Behav 39:1418–1429. doi:10.1016/j.addbeh.2014.05.011

    Article  PubMed  Google Scholar 

  28. Sreebny LM, Schwartz SS (1986) A reference guide to drugs and dry mouth. Gerodontology 5:75–99

    Article  PubMed  Google Scholar 

  29. Saleh J, Figueiredo MAZ, Cherubini K, Salum FG (2015) Salivary hypofunction: an update on aetiology, diagnosis and therapeutics. Arch Oral Biol 60:242–255. doi:10.1016/j.archoralbio.2014.10.004

    Article  PubMed  Google Scholar 

  30. Wu AJ, Ship JA (1993) A characterization of major salivary gland flow rates in the presence of medications and systemic diseases. Oral Surg Oral Med Oral Pathol 76:301–306

    Article  PubMed  Google Scholar 

  31. Bates D, Maechler M, Bolker B, Walker S (2014) lme4: Linear mixed-effects models using Eigen and S4

  32. R Core Team (2014) R: a language and environment for statistical computing

  33. Marshall A, Altman DG, Holder RL (2010) Comparison of imputation methods for handling missing covariate data when fitting a cox proportional hazards model: a resampling study. BMC Med Res Methodol 10:112. doi:10.1186/1471-2288-10-112

    Article  PubMed  PubMed Central  Google Scholar 

  34. Calil CM, Lima PO, Bernardes CF et al (2008) Influence of gender and menstrual cycle on volatile sulphur compounds production. Arch Oral Biol 53:1107–1112. doi:10.1016/j.archoralbio.2008.06.008

    Article  PubMed  Google Scholar 

  35. Minicucci EM, Pires RBC, Vieira RA et al (2013) Assessing the impact of menopause on salivary flow and xerostomia. Aust Dent J 58:230–234. doi:10.1111/adj.12057

    Article  PubMed  Google Scholar 

  36. Altemus M, Sarvaiya N, Neill Epperson C (2014) Sex differences in anxiety and depression clinical perspectives. Front Neuroendocrinol 35:320–330. doi:10.1016/j.yfrne.2014.05.004

    Article  PubMed  PubMed Central  Google Scholar 

  37. Federenko IS, Schlotz W, Kirschbaum C et al (2006) The heritability of perceived stress. Psychol Med 36:375–385. doi:10.1017/S0033291705006616

    Article  PubMed  Google Scholar 

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Acknowledgments

We would like to thank all the participants of the study. We would like to acknowledge Kei Matsumaru’s contribution to the English revision. We also would like to thank Yoshinori Iwatani, Jun Hatazawa, Shiro Yorifuji and Mikio Watanabe who are members of Center for Twin Research, Osaka University Graduate School of Medicine.

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Correspondence to Haruka Tanaka.

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The authors declare that they have no conflict of interest.

Funding

This study was supported by University Grants from Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) and MEXT KAKENHI Grant Number 26293151.

Ethical approval

Participants provide written informed consent in the present study. The consent procedure and the present study were approved by the Institutional Review Board for Clinical Research at Osaka University Hospital and Research Ethics Committee of Osaka University.

Informed consent

We obtained informed consent from all participants.

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Tanaka, H., Ogata, S., Ikebe, K. et al. Association between salivary flow rate and depressive symptoms with adjustment for genetic and family environmental factors in Japanese twin study. Clin Oral Invest 21, 1291–1297 (2017). https://doi.org/10.1007/s00784-016-1883-3

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  • DOI: https://doi.org/10.1007/s00784-016-1883-3

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