title: Social inequalities in clustering of oral health related behaviors in a national sample of British adults.
abstract: OBJECTIVE
  1. To assess clustering of oral health related behaviors among a sample of British adults. 2. To determine the variation in clustering of oral health related behaviors by socioeconomic position.
  
  
  METHODS
  We used secondary analysis of the Adult Dental Health Survey 2009 data. Health behaviors referred to smoking, tooth brushing frequency, dental visits and sugar consumption. Clustering was assessed by pairwise correlations, counts of clustering of health compromising behaviors and comparison of observed/expected ratios. Logistic regression was used to assess variation in clustering of oral health related behaviors by socioeconomic position crudely and adjusted for age, gender and self-rated oral health.
  
  
  RESULTS
  There were weak correlations between four health behaviors. Very low prevalence of clustering was reported. Higher observed to expected ratio was observed for clustering patterns with lower prevalence. Multivariate logistic regression showed clear, strong and significant educational gradients in associations between different clustering patterns of health compromising behaviors and educational attainment. These educational gradients remained significant after adjusting for age, gender and self-reported oral health.
  
  
  CONCLUSIONS
  Very clear and strong educational gradients were observed throughout patterns of clustering of oral health compromising behaviors, suggesting chances of having detrimental behavioral clustering are lower in more educated groups in population.
authors: Department of Epidemiology and Public Health, UCL, 1-19 Torrington Place, London, WC1E 6BT, United Kingdom. ankur.singh@phfi.org
authors: A
authors: A
authors: Singh
authors: P
authors: P
authors: Rouxel
authors: R G
authors: RG
authors: Watt
authors: G
authors: G
authors: Tsakos
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002908:Chronic Disease / Q000453:epidemiology; D016000:Cluster Analysis; D005260:Female; D015438:Health Behavior / Q000208:ethnology; D007722:Health Knowledge, Attitudes, Practice; D006306:Health Surveys; D054625:Healthcare Disparities / Q000706:statistics & numerical data*; D006801:Humans; D008019:Life Style; D008297:Male; D008875:Middle Aged; D009517:New South Wales; D009660:Northern Ireland; D009909:Oral Health / Q000208:ethnology / Q000706:statistics & numerical data*; D012907:Smoking / Q000009:adverse effects / Q000453:epidemiology / Q000523:psychology; D012923:Social Class; D011795:Surveys and Questionnaires; D006113:United Kingdom; D055815:Young Adult
keywords: Adult health; Cross-sectional studies; Health behavior; Oral health; Social inequalities