Associations between adult attachment and: oral health-related quality of life, oral health behaviour, and self-rated oral health
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Although adult attachment theory has been revealed as a useful theoretical framework for understanding a range of health parameters, the associations between adult attachment patterns and a range of oral health parameters have not yet been examined. The aim of this study was to examine potential associations between attachment insecurity and: (1) oral health-related quality of life (OHRQoL), (2) oral health behaviours, and (3) self-rated oral health. In association with this aim, sample characteristics were compared with normative data.
The sample in this cross-sectional study was comprised of 265 healthy adults, recruited via convenience sampling. Data were collected on attachment patterns (Experiences in Close Relationships Scale-Short Form, ECR-S), OHRQoL (Oral Health Impact Profile-14, OHIP-14), oral health behaviours (modified Dental Neglect Scale, m-DNS), and self-rated oral health (one-item global rating of oral health). Multivariate regression models were performed.
Both dimensions of attachment insecurity were associated with lowered use of favourable dental visiting behaviours, as well as decreased OHRQoL for both overall well-being and specific aspects of OHRQoL. Attachment avoidance was linked with diminished self-rated oral health.
This study supports the potential value of an adult attachment framework for understanding a range of oral health parameters. The assessment of a client’s attachment pattern may assist in the identification of people who are at risk of diminished OHRQoL, less adaptive dental visiting behaviours, or poorer oral health. Further research in this field may inform ways in which attachment approaches can enhance oral health-related interventions.
KeywordsAdult attachment Oral health-related quality of life Oral health behaviours Self-rated oral health Psychosocial factors
Compliance with ethical standards
Conflict of interest
The authors declare no conflicts of interest.
- 13.Brennan, K. A., Clark, C. L., & Shaver, P. R. (1998). Self-report measurement of adult attachment: An integrative overview. In J. A. Simpson & W. S. Rholes (Eds.), Attachment theory and close relationships (pp. 46–76). New York: The Guildford Press.Google Scholar
- 15.Ainsworth, M. D. S., Blehar, M. C., Waters, E., & Wall, R. (1978). Patterns of attachment: Assessed in the strange situation and at home. Hillsdale: Erlbaum.Google Scholar
- 25.Sambunjak, D., Nickerson, J. W., Poklepovic, T., Johnson, T. M., Imai, P., Tugwell, P., et al. (2011). Flossing for the management of periodontal diseases and dental caries in adults. Cochrane Database of Systematic Reviews, 12(12), 17–20. doi: 10.1002/14651858.CD008829.pub2.
- 26.Zimmermann, H., Zimmermann, N., Hagenfeld, D., Veile, A., Kim, T. S., & Becher, H. (2014). Is frequency of tooth brushing a risk factor for periodontitis? A systematic review and meta‐analysis. Community Dentistry and Oral Epidemiology, 43(2), 116–127.Google Scholar
- 35.SurveyMonkey, L. L. C. (2012). SurveyMonkey ®. Palo Alto: SurveyMonkey, LLC.Google Scholar
- 36.Wright, K. B. (2005). Researching internet-based populations: Advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. Journal of Computer-Mediated Communication, 10(3).Google Scholar
- 38.Brennan, K. A., Clark, C. L., & Shaver, P. R. (1998). Self-report measurement of adult romantic attachment: An integrative overview. In J. A. Simpson & W. S. Rholes (Eds.), Attachment theory and close relationships. New York: Guilford Press.Google Scholar
- 43.Harford, J. E., & Islam, S. (2013). Adult oral health and dental visiting in Australia: Results from the national dental telephone interview survey 2010. Canberra: Australian Institute of Health and Welfare.Google Scholar
- 44.Carter, K. D., & Stewart, J. F. (2002). National dental telephone interview survey 1999. Adelaide: Australian Institute of Health and Welfare Dental Statistics and Research Unit.Google Scholar
- 45.IBM Corp. (2013). IBM SPSS Statistics for Windows, Version 22.0. Armonk, NY: IBM Corp.Google Scholar
- 46.Finlayson, T. L., Williams, D. R., Siefert, K., Jackson, J. S., & Nowjack-Raymer, R. (2010). Oral health disparities and psychosocial correlates of self-rated oral health in the National Survey of American Life. American Journal of Public Health, 100(Suppl 1), S246–S255.CrossRefPubMedPubMedCentralGoogle Scholar
- 47.Australian Bureau of Statistics. (2011). 2011 Census QuickStats: Australia. http://www.censusdata.abs.gov.au/census_services/getproduct/census/2011/quickstat/0
- 48.Australian Bureau of Statistics. (2013). Education and work 2013. Canberra: Australian Bureau of Statistics.Google Scholar
- 49.Chrisopoulos, S., & Harford, J. E. (2013). Oral health and dental care in Australia: Key facts and figures 2012. Canberra: Australian Institute of Health and Welfare.Google Scholar
- 50.Sanders, A. E. (2007). Social determinants of oral health: Conditions linked to socioeconomic inequalities in oral health in the Australian population. Canberra: Australian Institute of Health and Welfare and the Australian Research Centre for Population Oral Health.Google Scholar
- 62.Beltrán-Aguilar, E. D., Barker, L. K., Canto, M. T., Dye, B. A., Gooch, B. F., Griffin, S. O., et al. (2005). Surveillance for dental caries, dental sealants, tooth retention, edentulism, and enamel fluorosis—United States, 1988–1994 and 1999–2002. Morbidity and Mortality Weekly Report Surveillance Summaries, 54(3), 1–43.PubMedGoogle Scholar
- 64.Consedine, N. S., Tuck, N. L., & Fiori, K. L. (2013). Attachment and health care utilization among middle-aged and older african-descent men: Dismissiveness predicts less frequent digital rectal examination and prostate-specific antigen screening. American Journal of Men’s Health, 7(5), 382–393.CrossRefPubMedGoogle Scholar