2022 Volume 10 Issue 3
Creative Commons License

OBESITY AND DEMOGRAPHICS INFLUENCE ON PERIAPICAL LESIONS, DENTAL CARIES, AND ORAL HEALTH IN ADULTS

Basel Mohammed Abozor1, Asaad Abdulrahman Abduljawad2*

1Institute of Cleveland Dental, Saint Vincent Charity Medical Center, USA.

2Department of Public Health, College of Health Sciences, Umm Al-Qura University, Makkah, 11343, Kingdom of Saudi Arabia. [email protected]


ABSTRACT

According to the World Health Organization (WHO), there are over 2 billion people around the world who are either overweight or obese, growing in numbers and also in the kingdom of Saudi Arabia, which is a major public health issue. With the rising amounts of funds and dental expenditure in the Kingdom of Saudi Arabia, a financial and economic burden on 16.5% of Saudis who happen to spend over 10% of their income on costly procedures of those uninsured such as endodontic root canals or root filled teeth (RFT), which could be associated with the rise of obesity and periapical chronic lesions affecting hard and soft tissues surrounding teeth resulting in bone loss, microorganisms, and toxins released into the pulp visualized by radiographic images. This cross-sectional observational study conducted at a dental school in Jeddah, Saudi Arabia studies the correlation between obesity and RFTs and PLs alongside with other demographics such as gender, age, educational level, and waist circumference.  Data was collected from 317 patients visiting the endodontics department clinics and was quantitatively and statistically analyzed using IBM SPSS 24 software package. The study concluded a strong and positive correlation between obesity, waist circumference, age, and male gender with root filled teeth and periapical lesions, and an insignificant correlation with educational levels. The researchers recommended public health policy makers to tax sugary foods, pop drinks, and increased healthcare insurance policy rates on obese individuals.

Key words: Public health, Oral health, Obesity, Demographics, Endodontics, Health policy.


Introduction

With the rise of Catastrophic Dental Expenditure (CDE), equivalent to 10% of an individual’s income paid on dental care, 16.5% of the population in the Kingdom of Saudi Arabia were exposed to CDE spent on several dental procedures of them is endodontics and root canal treatments, due to them being uninsured, which is a financial and economic burden on the Saudis [1]. In addition CDE could be correlated to obesity which has a growing prevalence in Saudi Arabia and is also an emerging and serious public health issue worldwide [2].

According to Victoria et al. The Kingdom has higher than average obesity prevalence rates which is at over 35% of the national population compared to 13% worldwide [3]. Another study conducted in Saudi Arabia in 2020 by Althumiri et al. concluded that the obesity prevalence rates between Saudis in 13 Saudi provinces with a BMI over 30 was almost between 20-25% of the population [4]. According to the World Health Organization, as of 2016, overweight and obese adults are more than underweight. There are over 2 billion people over 18 years that are overweight, of which 25% of them are obese. People’s weight is categorized according to the Body Mass Index (BMI) as underweight, normal, overweight, and obese. BMI is calculated by dividing weight by the mass squared [5].

Obesity has been considered a risk factor for several systemic diseases including type 2 diabetes, hyperlipidemia, hypertension, cholelithiasis, arteriosclerosis, and cardiovascular, and cerebrovascular diseases [6]. Saudi Arabia has one of the highest prevalence rates of overweight and obesity. The combination of persisting traditional cultural practices, high weather temperatures during the year, modern cultural changes and economic prosperity leads to unhealthy eating, sedentary lifestyles and weight gain [7]. The prevalence of obesity among adults in Saudi Arabia increased from 22% in 1990-1993 to 36% in 2005 and the overall rate is projected to reach 41% in men and 78% in women by 2022 [8]. Concerning obesity, the association with periodontal inflammation is well established in the literature. The possible connection between chronic oral inflammatory processes of infectious origin and systemic health is becoming one of the most interesting aspects faced by the medical and dental scientific community [9]. Obesity was associated with an increased incidence and prevalence of periodontal disease in adults [10, 11].

A study performed in the Kingdom showed that there was a positive correlation between age and obesity. The study also revealed that males had larger WC compared to female counterparts [12].

Higher BMI values were observed to be positively related to the severity of periodontal attachment loss [13]. Besides, obese individuals were at greater risk for the progression of periodontal disease despite the divergent results, a plethora of studies were performed relating obesity to dental caries in adults [14]. Numerous studies also relate obesity to dental caries [15-19]. Of note, few studies found a relation between obese subjects and teeth movement during the early phases of orthodontic treatment [20, 21]. Hence, there is a possibility that obesity may also have a link to periapical lesions (PLs) as well.

In a recent study in 2022 performed in Jeddah, Saudi Arabia, researchers found that females had higher dental awareness and knowledge, and better oral health than males; also higher educational levels positively correlated with better oral health outcomes [22].

Kyung Jae et al., concluded in an observational study in South Korea that dental decay and caries leading to root-filled teeth (RFT) was directly associated with overweight , obesity, older age groups, and surprisingly specifically women [23]. Schmidt et al, also concluded that obesity deteriorates oral health, and is a main risk factor indicating  poor periodontal status and increases the incidents of carious lesions [24].

People’s educational levels are categorized as being educated with a collegial degree or higher, high school, middle school, elementary school, or no education. A study conducted by Min Hee-Hong and Su-Jin Jung conducted a study to evaluate 191 elderly individuals ages 65 and older oral health status related to their level of education. The study indicates a positive correlation between the level and degree of education and better oral health conditions [25]. A study conducted in Saudi Arabia in 2020, Mosli et al. concluded that there was a negative association between the prevalence of obesity and the educational levels, however the group of high income people who are less educated had higher obesity prevalence rates in the Kingdom [26].

PL is an unpleasant outcome of a protective response to the bacteria derived from the infected root canal system, resulting in chronic inflammation [27]. Numerous studies documented the interrelationship between PL and systemic diseases. For example, radiolucent PLs were noted in patients who experienced coronary artery disease and acute myocardial infection [28, 29]. A significant association between PL and type 2 diabetes was well recognized [30-33]. Also, radiolucency patients were likelier to have hepatic disorders [34].  In the literature, relating the presence of  PL in obese individuals has so far been subjected to only a single study [15]. Thus, the prime objective of the present study was to investigate the possible association between obesity and the radiographic evidence of PL in dental patients. Researchers in this clinical investigation associate RFT and PL with obesity, waist circumference (WC), and demographics such as age, gender, and educational level. In addition, it concludes by ranking the effects of each of these demographic factors and obesity on both RFT and PL.

Materials and Methods

This cross-sectional study was conducted at Ibn Sina National College of dentistry, Jeddah, Saudi Arabia between July 2019 and February 2020.  The study subjects were recruited from dental patients who came consecutively to the dental clinics seeking dental care for the first time at the college hospital. A total of 317 dental patients of both genders who fulfilled the inclusion/ exclusion criteria were the subjects included in this study. The inclusion criteria were patients aged 20 years or older willing to undergo clinical, radiographic examination, and anthropometric measurements. The exclusion criteria included smokers/former smokers, diabetic patients, pregnant women, and patients with less than twenty remaining teeth. The institutional ethics committee approved the study, and signed informed consent was obtained from the participants before their enrollment. The data collection consisted of three parts: intraoral examination, radiographic examination, and body weight and height measurements. Patient data collection was completed on the same day visit for each participant.

A single calibrated dental examiner conducted a full mouth clinical examination.  Dental caries was measured using the counts of carious teeth. The teeth were examined visually after being blown dry and probed on each surface. The periodontal examination included probing depth, the presence of plaque, and bleeding on probing. All periodontal parameters were assessed for each tooth at six sites or tooth surfaces: mesiobuccal, midbuccal, distobuccal and three corresponding lingual/palatal sites. In addition, the number of teeth present was recorded.

The number of teeth having identifiable PL, root-filled teeth (RFT) and number of RFT having identifiable PL were evaluated based om a specialized endodontist’s examination of digital panoramic and periapical radiographs. A tooth was considered root filled if radio-opaque material was evident in the root canal system. The periapical status was assessed according to pre-established criteria.  Each tooth was assessed at 0 for normal: the periodontal ligament space and the surrounding alveolar bone exhibited no alteration at the periapical area -and 1 for periapical lesion (PL): the presence of apical radiolucency or widening of the periodontal ligament space at the apical region to more than twice the normal width [35]. Multi-rooted teeth were evaluated as a single unit. The method of viewing the images was standardized during the radiographic analysis. Third molars (wisdom teeth) were disregarded in clinical and radiographic examinations.

The Body Mass index (BMI) was calculated by dividing the weight in kilograms by the square of height in meters to assess obesity. The clinician registered the weight and height of each participant in a standardized manner using a medical scale and calculated the BMI. The participants were asked to remove their shoes and heavy garment before taking the measurements. The BMI values were classified according to the World Health Organization (WHO) guidelines into: underweight, normal weight, overweight and obese [36]. All four categories were included in the study.

Data were collected, tabulated and subjected to statistical analysis using SPSS statistical software for Windows (version 24, SPSS Inc., Chicago, IL). A P value of 0.05 or less was considered statistically significant.

Results and Discussion

In total, 317 subjects formed the basis for the current study. The participants were divided into four groups based on their BMI value. After six months of collecting data and patients the researchers found that of the 317 included in the study 123 patients (38.8%) had at least one RFT, and 108 patients (34.1%) had PL.

Qualitative data were described using numbers and percentages. Comparison between different groups regarding categorical variables was tested using Chi-square test. Quantitative data were described using mean and standard deviation for normally distributed data, and the comparison between two independent populations was performed using the independent t-test. Significance test results are quoted as two-tailed probabilities and results were judged at the 5% level. Regression analysis was done to study the effect of body mass index on dental disease.

The relationship between root-filled teeth (RFT) and demographic data, regarding the BMI category found that (83.7%) of positive cases were with root filled teeth were obese cases, where the data shows a significant relationship between the increase in BMI and root-filled teeth.

Regarding the level of education there was a significant increase in the incidence of root-filled teeth in the low- level education group, so there was a significant relationship between the level of education and the root- filled teeth.

The age of the patients showed a significant relation with root-filled teeth; the majority of the positive root-filled teeth group (84.6%) was in age group 25-50 years. Finally, males show significantly higher incidents of RFT compared than females as shown in Table 2.

Table 1. Distribution of studied patient groups regarding basic demographic data.

 

Number

Percent

Gender

 

 

Male

244

77.0

Female

73

23.0

Age group

 

 

<25 years

82

25.9

25-50

202

63.7

>50

33

10.4

Age

Range

Mean

SD

20.0-60.0

34.8801

10.54608

Level of Education

 

 

No education

74

23.3

Primary school

75

23.7

Middle school

33

10.4

High school

72

22.7

College

63

19.9

BMI category

 

 

Under weight

62

19.6

Normal weight

70

22.1

Over weight

44

13.9

Obese

141

44.5

BMI

Range

Mean

SD

17.10-58.5

30.81

7.146

W.C

Range

Mean

SD

52.0-142.0

105.30

14.95

 

The relationship between periapical lesion and demographics regarding the BMI category, where approximately (82.4%) of positive periapical lesions belonged to obese patients. This demonstrates a significant relationship between the increase in BMI and periapical lesion.

Regarding the level of education, it was found that there was no significant relation between the incidence of periapical lesions and the level of education group. However, age of patients showed a significant relation with periapical lesion, most of the positive periapical lesion group, which comprises of (89.0%) was in age group of 25-50 years. Finally, speaking about gender males have significantly higher than female incidence rates of periapical lesions, as shown in Table 3.

Table 2. Relation between basic demographic data and root-filled teeth incidence.

 

Root filled teeth

BMI category

Negative

Positive

No

%

No

%

Under weight

50

25.8

12

9.8

Normal weight

66

34.0

4

3.3

Over weight

40

20.6

4

3.3

Obese

38

19.6

103

83.7

X2

P

128.150

0.0001*

Level of Ed

 

 

 

 

No education

40

20.6

34

27.6

Primary school

47

24.2

28

22.8

Middle school

28

14.4

5

4.1

High school

41

21.1

31

25.2

College

38

19.6

25

20.3

X2

P

10.001

0.040*

Age group

 

 

 

 

<25 years

70

36.1

12

9.8

25-50

98

50.5

104

84.6

>50

26

13.4

7

5.7

X2

P

38.154

0.001*

Gender

 

 

 

 

Male

139

71.6

105

85.4

Female

55

28.4

18

14.6

X2

P

7.990

0.003*

The relationship between basic demographic data and root-filled teeth incidence rates with the mean BMI in positive cases being 34.09±6.92, while in negative cases it was 29.12±6.67, and there was a significant increase in BMI in positive cases with root-filled teeth.

The age in positive root-filled teeth cases was 38.44±8.19 years, while in negative cases was 33.03±11.15 years. There was a significant increase in age in positive cases more than in negative cases.

The WC in positive cases was 114.36±11.63, while in negative cases was 100.61±14.33; it showed a significant increase in WC in positive root-filled teeth cases more than negative cases.

However, the relationship between basic demographic data and periapical lesion incidence rates with the mean BMI in positive cases being 34.47±6.95, while in negative cases it was 28.50±6.25, apparently there was a significant increase in BMI in positive cases with the periapical lesion.

The age in positive periapical lesion cases was 39.03±7.97 years, while in negative cases was 32.24±11.13 years, showing a significant increase in age in positive cases compared to those in negative cases.

The WC in positive cases was 114.79±11.02, while in negative cases was 99.28±13.98; it showed a significant increase in WC in positive periapical lesion cases compared to negative cases.

Table 4, shows the correlation between both the number of root-filled teeth having periapical lesions and the number of root-filled teeth concerning BMI, age and WC; it was found that there was a significant positive correlation between both number of root-filled teeth having periapical lesion and number of root-filled teeth against the BMI, age and WC. i.e., the increase in BMI, age and WC faced by increasing the number of root-filled teeth having periapical lesion, and the number of root-filled teeth.

Table 3. Relation between basic demographic data and incidence of periapical lesion

 

Periapical lesion

BMI category

Negative

Positive

No

%

 

 

Under weight

50

23.9

12

11.1

Normal weight

67

32.1

3

2.8

Over weight

40

19.1

4

3.7

Obese

52

24.9

89

82.4

X2

P

0.001*

Level of Ed

 

 

 

 

No education

45

21.5

29

26.9

Primary school

51

24.4

24

22.2

Middle school

28

13.4

5

4.6

High school

42

20.1

30

27.8

College

43

20.6

20

18.5

X2

P

8.266

0.082

Age group

 

 

 

 

<25 years

70

33.5

12

11.1

25-50

113

54.1

89

82.4

>50

26

12.4

7

6.5

X2

P

25.193

0.001*

Gender

 

 

 

 

Male

151

72.2

93

86.1

Female

58

27.8

15

13.9

X2

P

7.719

0.003*

 

Table 5, shows the multivariable linear regression of different risk factors on root-filled teeth; from this model, it was found that RFT was affected by different risk factors; the most significant risk factors was increasing in BMI, followed by gender, the WC and finally the age, while the level of education show insignificant effect in this model.

Table 4. Correlation between both the number of root- filled teeth having periapical lesion,              Number of root -filled teeth in relation to BMI, age and WC.

 

Number of root-filled teeth having periapical lesion

Number of root- filled teeth

BMI

Pearson Correlation

.292**

.304**

P value

.000

.000

Age

Pearson Correlation

.176**

.226**

P value

.002

.000

WC

Pearson Correlation

.428**

.413**

P value

.000

.000

Table 5. Multivariable linear regression of different risk factors of root-filled teeth.

Model

Unstandardized Coefficients

Standardized Coefficients

T

Sig.

B

Std. Error

Beta

(Constant)

-.775

.192

 

-4.028

0.0001*

Age

.008

.002

.173

3.576

0.004*

Gender

-.165

.053

-.143

-3.129

0.002*

WC

.007

.002

.216

3.291

0.001*

Level of Ed

-.018

.015

-.056

-1.219

0.224

BMI category

.134

.026

.328

5.223

0.0001*

a. Dependent Variable: Root-filled teeth

Table 6, shows the multivariable linear regression of different risk factors on periapical lesions; from this model, it was found that the periapical lesion was affected by different risk factors; the most significant risk factors were increasing in BMI, followed by gender, the WC and finally the age, while the level of education shows insignificant effect in this model.

The present study aimed to explore the probable association between obesity and root-filled teeth, and the presence of PL based on radiographic examination in dentate individuals visiting dental school clinics. The study also compared the participants categorized according to their BMI regarding different dental and demographic variables, such as age, gender, and educational levels.

Table 6. Multivariable linear regression of different risk factors of Periapical lesion.

Model

Unstandardized Coefficients

Standardized Coefficients

T

Sig.

 

B

Std. Error

Beta

 

(Constant)

-.595

.200

 

-2.967

.003*

 

Age

.005

.002

.120

2.307

.022*

 

Gender

-.158

.055

-.140

-2.873

.004*

 

WC

.006

.002

.195

2.772

.006*

 

Level of education

-.014

.016

-.044

-.901

.368

 

BMI

.112

.027

.283

4.197

.0001*

 

a. Dependent Variable: Periapical lesion

The present results revealed a strong correlation between obesity and the presence of PL in the investigated sample with the same correlation of obesity to root-filled teeth. There is scarce information addressing the association between obesity and PL in which the number of PL was examined as a component of the dental index [15]. This study’s results found that contribution of obesity to the number of PL teeth was not neglectable.

In the present study, most of RFT were identified with PL in all four groups. Although, we did not have insight into the quality of the endodontic filling in RFT, poorly performed root canal treatments were highly associated with the radiographic appearance of PL among the Saudi population [37-39]. This situation may have occurred because most of the endodontic treatment is performed by general dentists in Saudi Arabia [40, 41]. The limited number of specialized endodontists in the Kingdom of Saudi Arabia as well and the low inclination of general dentists  to refer patients could be why the endodontic treatment falls below the general standards of care in Saudi Arabia [40]. However, it should be considered that the identified RFT with PL in the present study may have been in a healing phase since we had no data on the time when RFT received treatment.

Individuals with obesity appeared to have poor oral health behavior. Studies showed that individuals with increased BMI had slightly worse dental health represented by multiple missing teeth, increased number of decayed teeth and severity of the periodontal disease [10]. In another study, obese patients were least likely to use inter-dental brushes/flossing regularly and had more missing teeth [42]. Also, those with higher BMI were positively related to bleeding on probing [43]. Poor oral care habits displayed by lower daily frequency of tooth brushing, usage of fewer secondary oral products and irregular dental visits were identified in obese individuals [19, 44]. Periapical radiographs and cone beam computed tomography (CBCT) are more accurate for detecting radiolucent PLs [45]. No significant difference was found in the detection of periapical radiolucency when comparing orthopantomogram (OPG) and  periapical radiographs [46, 47]. In this study, the use of digital panoramic radiographs was feasible due to the availability of the digital panoramic machine in the college hospital. Besides, OPG allows all teeth to be examined on a single image, resulting in a relatively low radiation dose. To eliminate the effect of smoking and diabetes on the frequency of PL, current/former smokers and diabetic patients were excluded from the present study.  It was reported that radiolucent PL was significantly associated with diabetes and smoking [31, 38], given the increasing prevalence of both conditions among the Saudi population [48, 49].

BMI was used as indicator of obesity in the current study. However, BMI is not the gold standard for diagnosing obesity; different conclusions have been drawn regarding the superiority of using BMI or other obesity indices to predict obesity [50]. Hence, the use of BMI to assess obesity is still controversial and different results may be obtained with other obesity parameters.

This study’s main is being cross-sectional, making it impossible to determine the direction of causal relations. Also, this study sample was taken from one institution in one city; thus, the findings are preliminary and cannot be generalized to the whole nation of Saudi Arabia. Moreover, several potentially important variables were not incorporated in the present analysis; biochemical measurements of inflammatory mediators were not assessed, and the effect of socio-demographic factors was not examined. Finally, results may have been influenced by the unequal numbers in BMI categories.

As it has been reported Saudis are amongst the highest consumers of carbonated drinks worldwide, and ranked at the fourth highest level globally. With that fact taken into consideration alongside the findings of this study it shows the importance of approaching obesity as a national public health issue. It calls for effective prevention strategies and policies to reduce its prevalence in different age groups and halt its growth rate in the future. These suggested policies could include taxation on sugary sweets, drinks, and increased healthcare insurance policy rates for obese individuals.

Conclusion

Within the recognized limitations of the present study, the findings demonstrated a strong correlation between obesity as determined by BMI and the occurrence of PL, and RFT evaluated by panoramic radiographs.

Acknowledgments: None

Conflict of interest: None

Financial support: None

Ethics statement: Ethical approval was obtained from the institutional ethics committee at the Umm Al-Qura University in Kingdom of Saudi Arabia.

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Issue 3 Volume 12 - 2024