Relationship of obesity with periodontitis among patients attending a dental college in Chennai: A cross-sectional survey

Francis, Delfin Lovelina; Raja, B Kumara; Chandran, Chitraa R

doi:10.4103/jiaphd.jiaphd_109_17

Cited by 5 publications

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“…This finding is strengthened by other studies,[ 20 - 24 ] suggesting no association between obesity and periodontitis in adults after adjusting for potential confounders. This result is contrary to other epidemiological studies[ 25 - 28 ] that reported a substantial relationship between obesity and periodontitis.…”

Section: Discussioncontrasting

confidence: 99%

Association between Body Mass Index and Severity of Periodontal Disease among Adult South Indian Population: A Cross-sectional Study

Venkat,

Janakiram

2023

Indian Journal of Community Medicine

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Background: Periodontal disease is one of the top six chronic noncommunicable diseases (NCDs) and is recognized as a severe global public health problem. This study aimed to assess the association between various levels of body mass index (BMI) and periodontal disease severity in Indian adults. Material and Methods: The study was designed as a hospital-based cross-sectional study involving 212 participants aged between 18 and 65. A questionnaire assessed by an investigator was used to assess oral health-associated risky behavior and demographical factors. Participants were also assessed using full-mouth clinical periodontal and anthropometric measurements. The mean number of sites with pocket probing depth (PPD) ≥4 mm and the presence of periodontal disease were used as outcome measures. Bivariate analysis and multiple logistic regressions were performed. Results: The overall proportion of participants with periodontal disease was 50%, that is, sites with PPD ≥4 mm (n = 106). Multivariate analysis showed that BMI (odds ratio (OR) = 0.77, 95% confidence interval (CI): 0.43, 1.37) was not associated with periodontal disease, but smoking (OR = 3.90, 95% CI: 1.63, 5.89), alcohol consumption (OR = 1.24, 95% CI: 0.72, 2.13), age (OR = 2.51, 95% CI: 1.08, 5.84), and diabetic mellitus (OR = 1.69, 95% CI: 0.92, 3) were positively associated with periodontal disease. Conclusion: A positive association was found between smoking, alcohol consumption, age, gender, history of diabetic mellitus, and periodontal disease. No significant association exists between obesity and periodontal disease in South Indian adults.

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Section: Discussioncontrasting

confidence: 99%

Association between Body Mass Index and Severity of Periodontal Disease among Adult South Indian Population: A Cross-sectional Study

Venkat,

Janakiram

2023

Indian Journal of Community Medicine

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“…A study by Francis and his colleagues in the year 2017, found there was a well-established association between demographic characteristics and periodontal status. Sociodemographic and socioeconomic characteristics play a major role in the periodontal health of an individual [17], however there is a lack of data that justifies the association of periodontal disease with demographic characteristics and a person's individual habits. Hence, the aim of this study was to analyse the association of sociodemographic factors, habits, and periodontal disease among Indian adults.…”

Section: Introductionmentioning

confidence: 99%

Demographic and Habitual Factors of Periodontal Disease among South Indian Adults

Selvaraj

Naing

Wan-Arfah

et al. 2021

IJERPH

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The aim of this study was to evaluate the performance of a set of sociodemographic and habits measures on estimating periodontal disease among south Indian adults. This cross-sectional study was carried out among 288 individuals above 18 years old in Tamil Nadu, India. The outcome of the study was periodontal disease, measured by WHO criteria. The covariates were age, ethnicity, smoking and alcohol habit. The assessment of factors predicting periodontal disease was carried out by multiple logistic regression analysis using R version 3.6.1. The demographic factors like age group (AOR = 3.56; 95% CI 1.69–7.85), ethnicity (AOR = 6.07; 95% CI 2.27–18.37), non-alcoholic (AOR = 0.31; 95% CI 0.13–0.64) and non-smoking (AOR = 0.33; 95% CI 0.15–0.67) were found to be associated with the outcome. The maximum log likelihood estimate value was −30.5 and AIC was 385 for the final model, respectively. Receiver operating characteristic (ROC) curve for the periodontal disease was 0.737. We can conclude that sociodemographic factors and habits were useful for predicting periodontal diseases.

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“…2 However, if untreated, it can progress to periodontitis, which is a severe and irreversible form and impacts significantly on overall general health. 3 Periodontitis has been reported as a possible risk factor for some systemic conditions such as low birth weight, 4 cerebrovascular diseases, 5,6 diabetes, 7,8 cardiovascular disease, 9 respiratory diseases, 10 obesity 11 and complications of pregnancy. 12 The impact of periodontitis on overall health is via the initiation of systemic inflammation.…”

Section: Introductionmentioning

confidence: 99%

Assessment of knowledge of the association between periodontitis and systemic conditions among clinical medical and nursing students

ALADE,

OTAKHOIGBOGIE

2024

Nig J Dent Res

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Background: Periodontitis has been linked to some systemic conditions. The knowledge of this association by qualified health professionals and those in training is very vital in holistic patient care. Objective: To assess knowledge of the association between periodontitis and systemic conditions among clinical medical and nursing students Method: This was a descriptive cross-sectional study conducted among clinical medical and clinical nursing students of the University of Port Harcourt, Rivers State, Nigeria. A total of 200 questionnaires were administered with 156 properly filled. Section A of the questionnaire had questions on the sociodemographic characteristics of the respondents, while section B included questions on the assessment of participants’ awareness and knowledge regarding the possible link between periodontitis and some systemic conditions. Data analysis was done using SPSS version 25.0 with p ≤ 0.05 considered statistically significant. Results: A total number of 156 clinical medical and nursing students participated in the study, 99 (63.5%) were females, while the remaining 57 (36.5%) were males. The age range of the participants was 19-35 years with a mean age of 23.31 ± 2.50 years. Of the 156 participants, 85 (54.5 %) were clinical medical students while 71 (45.5%) were clinical nursing students. 74.4% of the medical students and 35.7% of the nursing students knew that there was a possible link between periodontitis and diabetes mellitus (p=0.000). 54.9% of medical students and 30.0% of nursing students agreed that there is a possible link between periodontitis and cardiovascular disease (p=0.001). Using Bloom’s concept, 69 (81.2%) of the medical students and 53 (74.6%) of nursing students demonstrated low knowledge about the link between periodontitis and systemic conditions, Conclusion: There was an inadequate level of knowledge of the possible association between periodontitis and some systemic conditions among the participants. Hence, there is a need to include oral health education in the undergraduate curriculum of both medical and nursing students.

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Relationship of obesity with periodontitis among patients attending a dental college in Chennai: A cross-sectional survey

Cited by 5 publications

References 0 publications

Association between Body Mass Index and Severity of Periodontal Disease among Adult South Indian Population: A Cross-sectional Study

Association between Body Mass Index and Severity of Periodontal Disease among Adult South Indian Population: A Cross-sectional Study

Demographic and Habitual Factors of Periodontal Disease among South Indian Adults

Assessment of knowledge of the association between periodontitis and systemic conditions among clinical medical and nursing students

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