Risk factors for dental caries among children with cerebral palsy in a low-resource setting

Dev Med Child Neurol. 2017 May;59(5):538-543. doi: 10.1111/dmcn.13359. Epub 2016 Dec 9.

Abstract

Aim: To describe the oral health status and investigate factors affecting dental caries experience among children with cerebral palsy (CP) in rural Bangladesh.

Method: A cross-sectional study was conducted among children with CP who are part of the Bangladesh Cerebral Palsy Register (BCPR) study. Caries experience was measured by identifying decayed, missing, and filled teeth for deciduous and permanent teeth (dmft/DMFT). Clinical periodontal index, body mass index, oral hygiene behaviour, masticatory ability, and dietary habits were recorded. CP motor types and severity of functional mobility (Gross Motor Function Classification System [GMFCS]) were assessed.

Results: Of 90 children with CP (mean age 9y 7mo, range 2-17y, 37.8% female and 62.2% male), 35% of 2 to 6 year olds, and 70% of 7 to 11 year olds (p=0.014) experienced caries (dmft+DMFT>0). The mean values (standard deviation [SD]) of dmft and DMFT were 2.46 (3.75) and 0.72 (1.79) respectively. After adjusting for age and sex, binary logistic regression analysis showed a significant relationship with dental caries for children who had quadriplegia (odds ratio [OR] 5.56, p=0.035), tooth cleaning less than one time/day (OR 0.08, p=0.016), using toothpowder or charcoal for cleaning (OR 7.63, p=0.015), and snacking between meals more than one time/day (OR 6.93, p=0.012).

Interpretation: Early oral health preventive care is required for children with CP because dental caries is highly prevalent in these children.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Age Distribution
  • Bangladesh / epidemiology
  • Body Mass Index
  • Cerebral Palsy / epidemiology*
  • Child
  • Child, Preschool
  • Cross-Sectional Studies
  • Dental Caries / epidemiology*
  • Female
  • Humans
  • Male
  • Neurologic Examination
  • Oral Hygiene*
  • Prevalence
  • Registries
  • Regression Analysis
  • Risk Factors
  • Severity of Illness Index