Relationship between body mass index and oral health indicators: a cross-sectional study

Abdolsamadi, Hamidreza; Poormoradi, Banafshe; Yaghoubi, Ghazale; Farhadian, Maryam; Jazaeri, Mina

doi:10.4081/ejtm.2023.11259

Cited by 4 publications

(1 citation statement)

References 25 publications

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“…Body mass index (BMI) is the most appropriate anthropometric measurement used for the analysis of the nutritional status of an individual. 5 , 6 Body mass index is calculated by dividing weight in kilograms by height in meters squared (BMI = (Weight in kg)/(Height in m) 2 ). Based on BMI, the World Health Organization (WHO) classifies adults as underweight, normal, overweight, and obese.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Relationship Between Oral Health and Body Mass Index

2023

Eurasian J Med

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Objective: The objectives of this study is to evaluate oral health comparatively in four different groups separated according to body mass index (BMI). Materials and Methods: A total of 352 patients who applied for different dental reasons were divided into groups according to BMI and examined radiologically. The incidence of oral health parameters (dental caries, alveolar bone loss, tooth loss, and periapical lesion) was evaluated. Results: While there was a significant difference between the groups in terms of caries, alveolar bone loss, and tooth loss ( P < .05), there was no difference in the incidence of periapical lesions ( P > .05). Conclusion: Obese individuals have a higher prevalence of alveolar bone loss, caries, and tooth loss. These results show that an above-normal BMI is an important factor that can negatively affect oral health.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Relationship Between Oral Health and Body Mass Index

2023

Eurasian J Med

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Evaluation of the Relationship Between Salivary Adipokine Levels With Appetite and Anthropometric Indices in Patients With Type 2 Diabetes

Akbarzadeh,

Borzouei,

Khazaei

et al. 2024

Endocrino Diabet & Metabol

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ObjectiveThis study aimed to evaluate the association between salivary adipokine levels, including leptin, chemerin, resistin and interleukin‐6, with body mass index (BMI), waist and wrist circumference and appetite in patients with type 2 diabetes.MethodsIn this cross‐sectional study, 104 participants were divided into three groups: 35 diabetic patients, 35 pre‐diabetic individuals and 34 healthy controls. Unstimulated saliva samples were collected using the spitting method, and salivary levels of leptin, chemerin, resistin and interleukin‐6 were measured via ELISA. Appetite was assessed using a standard questionnaire, and BMI, waist and wrist circumferences were measured with a tape measure. Statistical analysis was performed using SPSS 26, with a significance threshold set at 0.01.ResultsSignificant differences were found in the salivary levels of leptin, chemerin, and resistin among the three groups (p < 0.01), but no significant difference was observed in the salivary levels of interleukin‐6 (p > 0.01). Analysis also revealed significant differences in appetite traits among the groups, with the highest appetite trait observed in pre‐diabetic subjects (p = 0.0002). The salivary level of chemerin was significantly associated with appetite traits regardless of diabetic status (p = 0.009). Appetite was also significantly related to BMI (p = 0.002) and waist circumference (p = 0.001) in all subjects. However, no significant relationship was observed between appetite and fasting plasma glucose or HbA1c levels (p > 0.01).ConclusionThe results of this study indicate that salivary levels of certain adipokines, such as leptin, chemerin and resistin, may be significantly higher in diabetic patients, although this is not true for all adipokines. While pre‐diabetic patients exhibited a higher level of appetite, no positive correlation was found between salivary adipokine levels (except chemerin) and appetite or anthropometric characteristics, irrespective of diabetic status.

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Updates on Caries Risk Assessment—A Literature Review

Ng,

Luo,

Lam

et al. 2024

Dentistry Journal

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This narrative review aims to provide an update on caries risk assessment (CRA) and the available CRA tools. CRA can be used to monitor the status of oral care, as well as for documentation and research purposes. Caries risk is determined by the interplay of risk and protective factors. Common risk factors include suboptimal oral hygiene practices, previous caries experience, low plaque acidity, frequent snacking, cariogenic diet, enamel defects, reduced salivary flow, polypharmacy, and radiotherapy experience. Caries risk can be reduced through some preventive measures, such as the use of fluoride, gum chewing, dental sealants. The CRA process can be categorized as single or multifactor tools. Single-factor CRA tools include diet analysis questionnaires, cariogenic bacteria testing and saliva testing kits, whereas multifactor CRA tools encompass Caries Management by Risk Assessment (CAMBRA), Cariogram, and PreViser. Some CRA tools may quantify risk and protective factors to compute caries risk. Additionally, they can generate visual and educational presentations that foster success in oral care. Clinicians consider CRA beneficial for developing personalized care plans. However, the literature fails to reflect this and reveals limited studies supporting its use as evidence-based practice for caries management.

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Relationship between body mass index and oral health indicators: a cross-sectional study

Cited by 4 publications

References 25 publications

Evaluation of the Relationship Between Oral Health and Body Mass Index

Evaluation of the Relationship Between Oral Health and Body Mass Index

Evaluation of the Relationship Between Salivary Adipokine Levels With Appetite and Anthropometric Indices in Patients With Type 2 Diabetes

Updates on Caries Risk Assessment—A Literature Review

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