The Associated Factors with Scaling Experience among Some Workers in Small and Medium-Sized Companies

Jae Ra Lee, Mi Ah Han, Jong Park, So Yeon Ryu, Chul Gab Lee, Sang Eun Moon
2017 Journal of dental hygiene science  
The prevalence of periodontal disease was steadily increased. The best prevention methods for periodontal disease are teeth brushing and scaling. The purpose of this study was to investigate the status of scaling experience and related factors among some workers. Total 455 workers in 5 manufacturing companies in Gwangju were selected using convenience sampling method. General characteristics, work-related characteristics, oral health-related characteristics and scaling experience were collected
more » ... by self-reported questionnaires. Chi-square tests, t-tests and multiple logistic regression analysis were performed to investigate the factors influencing the scaling experience using SPSS software. Statistical significance was defined as a p-value<0.05. The proportion of scaling experience during the past year was 47.0%. In simple analysis, age, current working position, number of oral disease, interest in oral health, use of secondary oral products, oral health screening use, oral health education experience and awareness of scaling inclusion in the National Health Insurance (NHI) coverage were associated with scaling experience. Finally, the odds ratios (ORs) for scaling experience were significantly higher in younger subjects (adjusted OR [aOR], 3.09; 95% confidence internal [CI], 1.60∼5.96), assistant manager (aOR, 2.68; 95% CI, 1.55∼4.63), subjects with high interest in oral health (aOR, 2.15; 95% CI, 1.02∼4.52), subjects with oral health screening use (aOR, 2.76; 95% CI, 1.50∼5.11) and awareness of scaling inclusion in the NHI coverage (aOR; 2.91, 95% CI, 1.80∼4.72) in multiple logistic regression analysis. Scaling experience was relatively low (47.0%). The related factors with scaling experience were age, working position, use of screening and awareness of scaling inclusion in the NHI coverage. Considering these factors will increase the utilization rate of scaling.
doi:10.17135/jdhs.2017.17.4.333 fatcat:a5swbzihr5cjxd2pkhswzap7ey