Risk indicators of periodontal disease in older Thai adults.

Department of Periodontology, Faculty of Dentistry, Chulalongkorn University, Bangkok, Thailand.
Journal of Periodontology (Impact Factor: 2.57). 05/2005; 76(4):558-65. DOI: 10.1902/jop.2005.76.4.558
Source: PubMed

ABSTRACT The aim of this study was to identify risk indicators for periodontitis using cross-sectional data from a group of older Thai adults.
The study group consisted of 2,005 individuals, aged 50 to 73 years old. They received detailed medical examinations and periodontal examinations including plaque score, probing depth, and clinical attachment level. These individuals were categorized into mild, moderate, or severe periodontitis if mean clinical attachment level was <2.5 mm, 2.5 to 3.9 mm, or > or = 4.0 mm, respectively. The degree of association between the severity of periodontitis and various independent variables was investigated using multinomial logistic regression analysis.
The percentage of subjects classified as mild, moderate, and severe periodontitis was 30.5, 53.6, and 15.9, respectively. The prevalence of severe periodontitis was higher in males and increased with age. In univariate analysis, older subjects, males, less educated persons, persons with lower income, persons with higher plaque score, smokers, drinkers, and diabetics were more likely to have both moderate and severe periodontitis. In multivariate analysis, males, less educated persons, persons with higher plaque score, and current smokers were more likely to have moderate periodontitis. Three additional factors including older age, former smokers, and diabetes significantly increased the odds for having severe periodontitis. Income, alcohol consumption, body mass index, and waist circumference had no significant effects on periodontal disease severity in the multivariate model.
Our data suggest that age, gender, education, oral hygiene status, smoking, and diabetes are significantly associated with periodontal disease severity in this study group. Longitudinal studies will establish whether these variables are true risk factors.

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    • "Al-Zahrani et al., 2003 19 Borges et al., 2007 20 D'Aiuto et al., 2008 21 Dalla Vecchia et al., 2005 22 Dumitrescu; Kawamura, 2010 12 Ekuni et al., 2008 23 Furuta et al., 2010 24 Genco et al., 2005 7 Haffajee; Socransky, 2009 25 Han et al., 2009 13 Khader et al., 2009 14 Kongstad et al., 2009 17 Kumar et al., 2009 26 Kushiyama et al.,2009 18 Li et al., 2009 27 Linden et al., 2007 28 Lundin et al., 2004 29 Machado et al., 2005 30 Morita et al., 2009 31 Pitiphat et al., 2008 32 Saito et al., 2001 33 Saito et al., 2005 34 Saito, 2008 35 Saxlin et al. 2010 36 Saxlin et al., 2008 37 Shimazaki et al., 2007 38 Torrungruang et al., 2005 39 Wang et al., 2009 40 Wood et al., 2003 41 Wood; Johnson, 2008 42 Borges-Yáñez et al., 2006 "
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    Ciência & Saúde Coletiva 06/2014; 19(6):1763-1772. DOI:10.1590/1413-81232014196.13482013 · 0.40 Impact Factor
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    • "It was also demonstrated in the present study that the association between periodontitis and alcohol use was independent of smoking (non-smokers OR ranged from 1.22 to 3.02). Similar findings were also reported (Shizukuishi et al. 1998, Tezal et al. 2001, Copeland et al. 2004, Torrungruang et al. 2005, Amaral et al. 2008). "
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    • "The association of BMI and periodontal disease is equivocal ( Al Zahrani et al . 2003 , Wood et al . 2003 , Torrungruang et al . 2005 ) . NHANES III data showed an association between BMI in young subjects ( 18 – 34 year olds ) and perio - dontal disease ; however , no association was detected in the older age groups ( Al Zahrani et al . 2003 ) . A cross - sectional study in Japanese subjects showed that in the highest categories of BMI , obesity was a significant ris"
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