S Ebel1, H Blättermann1, U Weik1, J Margraf-Stiksrud2, R Deinzer1. 1. 1 Department of Medicine, Justus-Liebig-University Giessen, Giessen, Germany. 2. 2 Department of Psychology, Philipps University of Marburg, Marburg, Germany.
Abstract
OBJECTIVES: Previous studies have shown high levels of dental plaque after toothbrushing and poor toothbrushing performance. There is a lack of evidence about what oral hygiene behavior predicts persistent plaque. The present cross-sectional study thus relates toothbrushing behavior to oral cleanliness after brushing and to gingivitis. METHODS: All young adults from a central town in Germany who turned 18 y old in the year prior to the examination were invited to participate in the study. They were asked to clean their teeth to their best abilities while being filmed. Videos were analyzed regarding brushing movements (vertical, circular, horizontal, modified Bass technique) and evenness of distribution of brushing time across vestibular (labial/buccal) and palatinal (lingual/palatinal) surfaces. Dental status, gingival bleeding, and oral cleanliness after oral hygiene were assessed. RESULTS: Ninety-eight young adults participated in the study. Gingival margins showed persistent plaque at 69.48% ± 12.31% sites (mean ± SD) after participants brushed to their best abilities. Regression analyses with the brushing movements and evenness of distribution of brushing time as predictors explained 15.2% (adjusted R2 = 0.152, P = 0.001) of the variance in marginal plaque and 19.4% (adjusted R2 = 0.194, P < 0.001) of the variance in bleeding. Evenness of distribution of brushing time was the most important behavioral predictor. CONCLUSION: Even when asked to perform optimal oral hygiene, young German adults distributed their brushing time across surfaces unevenly. Compared with brushing movements, this factor turned out to be of more significance when explaining the variance of plaque and bleeding. KNOWLEDGE TRANSFER STATEMENT: Results of this study can help clinicians and patients understand the meaning of specific behavioral aspects of toothbrushing for oral cleanliness and oral health.
OBJECTIVES: Previous studies have shown high levels of dental plaque after toothbrushing and poor toothbrushing performance. There is a lack of evidence about what oral hygiene behavior predicts persistent plaque. The present cross-sectional study thus relates toothbrushing behavior to oral cleanliness after brushing and to gingivitis. METHODS: All young adults from a central town in Germany who turned 18 y old in the year prior to the examination were invited to participate in the study. They were asked to clean their teeth to their best abilities while being filmed. Videos were analyzed regarding brushing movements (vertical, circular, horizontal, modified Bass technique) and evenness of distribution of brushing time across vestibular (labial/buccal) and palatinal (lingual/palatinal) surfaces. Dental status, gingival bleeding, and oral cleanliness after oral hygiene were assessed. RESULTS: Ninety-eight young adults participated in the study. Gingival margins showed persistent plaque at 69.48% ± 12.31% sites (mean ± SD) after participants brushed to their best abilities. Regression analyses with the brushing movements and evenness of distribution of brushing time as predictors explained 15.2% (adjusted R2 = 0.152, P = 0.001) of the variance in marginal plaque and 19.4% (adjusted R2 = 0.194, P < 0.001) of the variance in bleeding. Evenness of distribution of brushing time was the most important behavioral predictor. CONCLUSION: Even when asked to perform optimal oral hygiene, young German adults distributed their brushing time across surfaces unevenly. Compared with brushing movements, this factor turned out to be of more significance when explaining the variance of plaque and bleeding. KNOWLEDGE TRANSFER STATEMENT: Results of this study can help clinicians and patients understand the meaning of specific behavioral aspects of toothbrushing for oral cleanliness and oral health.
Authors: Hsiu-Yueh Liu; Ping-Ho Chen; Wun-Jyun Chen; Shan-Shan Huang; Jen-Hao Chen; Ching-Teng Yao Journal: Int J Environ Res Public Health Date: 2021-01-22 Impact factor: 3.390