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International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2023 Mar 1;20(5):4423. doi: 10.3390/ijerph20054423

Association between Smoking and Periodontal Disease in South Korean Adults

Ka-Yun Sim 1,2, Yun Seo Jang 1,2, Ye Seul Jang 1,2, Nataliya Nerobkova 1,2, Eun-Cheol Park 2,3,*
Editor: Paul B Tchounwou
PMCID: PMC10002277  PMID: 36901429

Abstract

Smoking poses a threat to global public health. This study analyzed data from the 2016–2018 National Health and Nutrition Examination Survey to investigate smoking’s impact on periodontal health and identify potential risk factors associated with poor periodontal health in Korean adults. The final study population was 9178 patients, with 4161 men and 5017 women. The dependent variable was the Community Periodontal Index (CPI), to investigate periodontal disease risks. Smoking was the independent variable and was divided into three groups. The chi-squared test and multivariable logistic regression analyses were used in this study. Current smokers had a higher risk of periodontal disease than non-smokers (males OR: 1.78, 95% CIs = 1.43–2.23, females OR: 1.44, 95% CIs = 1.04–1.99). Age, educational level, and dental checkups affected periodontal disease. Men with a higher number of pack years had a higher risk of periodontal disease than non-smokers (OR: 1.84, 95% CIs = 1.38–2.47). Men who quit smoking for less than five years had a higher risk of periodontal disease than non-smokers but lower than current smokers (current OR: 1.78, 95% CIs = 1.43–2.23, ex OR: 1.42, 95% CIs = 1.04–1.96). Those who had quit smoking for less than five years had a higher risk of periodontal disease than non-smokers but lower than current smokers (males OR: 1.42, 95% CIs = 1.04–1.96, females OR: 1.11, 95% CIs = 1.71–1.74). It is necessary to motivate smokers by educating them on the importance of early smoking cessation.

Keywords: periodontal health, periodontal disease, smoking, Community Periodontal Index (CPI)

1. Introduction

Smoking is one of the biggest threats to public health [1]. According to the World Health Organization, more than 8 million people have been killed, including approximately 1.2 million deaths from exposure to secondhand smoke [2]. Moreover, since tobacco has more than 7000 toxic chemicals [3], smoking is associated with numerous preventable chronic diseases [4]. In Korea, the smoking rate has been decreasing; however, as of 2018, the prevalence of daily smoking among men in Korea reached 30.5%, the third-highest rate among the Organization for Economic Co-operation and Development (OECD) members [5]. The authorities have made intensive efforts to eliminate tobacco use by implementing strong and effective tobacco control policies and measures, such as cigarette tax hikes and media campaigns [4,6].

The association between smoking and various diseases, including major causes of death, has been well-established. A cohort study in the US reported that smokers had a higher risk of developing bladder cancer and pancreatic cancer than non-smokers [7]. Another study found that smokers were more likely to have elevated levels of blood insulin and triglycerides compared to non-smokers [8,9].

Smoking can negatively impact the oral cavity, particularly in non-inflammatory oral diseases [10]. Harmful substances in tobacco products, such as nicotine, can harm the gingival tissue, decrease blood flow to the gums, and compromise the immune system [11]. Tobacco use can increase susceptibility to oral infections, stain teeth, cause dryness in the mouth, and delay the healing of oral wounds [12].

Periodontal diseases are considered to be chronic destructive inflammatory diseases [13]. They are characterized by the destruction of the periodontal tissue, loss of adhesion to connective tissues, loss of alveolar bone, and the formation of pathological sacs around the teeth [14,15,16]. In addition, poor periodontal health is associated with systemic diseases, such as cancer, heart disease, and diabetes; therefore, management is important [17,18,19]. Previous studies have shown that smoking is associated with poor periodontal health, even among young adults [20]. Another study in Korea revealed that quitting smoking within a decade could potentially improve periodontal health for former smokers [21]. A study in the US, which used large-scale data, concluded that smoking is a significant risk factor for periodontitis and may account for more than 50% of periodontitis in adults [22].

While previous studies have examined the association between smoking and periodontal diseases, additional evidence is needed to encourage healthy habits that promote smoking cessation. This study aimed to investigate the relationship between smoking and the risk of periodontal diseases in Korean adults, using a nationwide cross-sectional survey with a large sample size. Furthermore, this study aimed to provide more robust evidence for the importance of early smoking cessation by analyzing the relationship between smoking cessation in five-year intervals, which was more detailed than in previous studies.

2. Materials and Methods

2.1. Data

The data for this study were obtained from the 2016–2018 Korea National Health and Nutrition Examination Survey (KNHANES) and used a separate raw dataset (HNYN_OE). The KNHANES has been conducted by the Korea Disease Control and Prevention Agency (KDCA) since 1998 to investigate national statistics through a survey of the health level, health-related behavior, and nutritional status of 10,000 Koreans annually. The KDCA Research Ethics Review Board approved the data collection protocols for the KNHANES. The data are available for download from the KDCA website (https://knhanes.kdca.go.kr/knhanes/sub03/sub03_02_05.do, accessed on 1 January 2023). Thus, this study did not need extra approval from the ethics review board. The KNHANES is a self-reported survey using a stratified, two-stage, clustered sampling design conducted annually for South Koreans of all ages, divided into three age groups: (children: 1–11 years old, adolescents: 12–18 years old, and adults: 19 years or older).

2.2. Study Population

The total number of participants who completed the health examination survey for KNHANES 2016–2018 was 16,489 (7485 males and 9004 females). The exclusion criteria consisted of three categories: (a) under 19 years of age (N = 3299), (b) unable to perform oral examination due to tooth loss (N = 2581), and (c) missing values in health assessment or survey (N = 1440). The final study population was 9178, with 4161 men and 5017 women (Figure 1).

Figure 1.

Figure 1

Flowchart of the study participants displaying the inclusion and exclusion criteria.; CPI, Community Periodontal Index; KNHANES, Korea National Health and Nutrition Examination Survey.

2.3. Variables

The dependent variable in this study was the Community Periodontal Index (CPI), used to measure the risk of periodontal disease. The oral health examinations were conducted by public health dentists and local public health dentists at the city and provincial levels under the supervision of the Korea Disease Control and Prevention Agency (KDCA). The risk to periodontal health was assessed by dividing the upper and lower jaws into three sections and recording the highest CPI score for each section. The CPI score was based on periodontal pocket depth, calculus attachment, and gingival bleeding measurements. The scores ranged from 0 to 4, with 0 indicating healthy, 1 indicating bleeding, 2 indicating dental calculus, 3 indicating a superficial periodontal pocket of 4–5 mm, and 4 indicating a deep periodontal pocket of 6 mm or more. Using the sum of the CPI scores, we assessed the risk of periodontal disease as the outcome variable.

The independent variable was the smoking status, classified into three groups: non-smokers, ex-smokers, and current smokers. Smoking status was based on the question, “Do you currently smoke cigarettes?”. We also used pack years and smoking cessation status as variables in the subgroup analysis. Pack years indicate the number of cigarettes a person has smoked in their lifetime, calculated by multiplying the total number of cigarettes smoked per day by the total number of years a person smoked.

The covariate variables were controlled for, as potential confounding factors. These included socioeconomic factors, such as sex, age, household income, and region, and factors related to health behaviors, such as current drinking status and physical activity. Oral health habits were also included as covariates. Teeth brushing frequency was investigated, based on the number of times teeth were brushed during the previous day, while dental checkup status was surveyed based on the question, “Did you have a dental checkup in the past 12 months?”.

2.4. Statistical Analysis

A chi-squared test was conducted to explore the general characteristics of the study population. The general characteristics of the final study population were represented as frequency and percentage. To assess the relationship between smoking and periodontal disease using the sum of the CPI scores in adults, we used multivariable logistic regression analysis with covariate adjustment. Subgroup analyses were performed to evaluate the relationship between pack years, smoking cessation status, and periodontal disease. All the results were presented as odds ratios (ORs) and 95% confidence intervals (CIs). The analyses were performed using stratified sampling variables. All the estimates were estimated using weighted variables to generalize the data. SAS version 9.4 software (SAS Institute, Cary, NC, USA) was used for all the statistical analyses. Statistical significance was determined as a two-sided p-value of <0.05.

3. Results

Table 1 summarizes the characteristics of the study population, classified according to sex. Of the 9178 participants, 4161 were male (45.3%), and 5017 were female (54.7%). A total of 3042 (73.1%) males and 3143 (62.6%) females had periodontal disease risks, as expressed by the CPI. Among the males, 1484 (35.7%) were current smokers, 1623 (39.0%) were ex-smokers, and 1054 (25.3%) were non-smokers. Among the females, 282 (5.6%) were current smokers, 344 (6.9%) were ex-smokers, and 4391 (87.5%) were non-smokers.

Table 1.

General characteristics of the study population.

Variables Community Periodontal Index (CPI)
Male Female
Total No Yes p-Value Total No Yes p-Value
N % N % N % N % N % N %
Total (N = 9178) 4161 45.3 1119 26.9 3042 73.1 5017 54.7 1874 37.4 3143 62.6
Smoking Behavior <0.0001 0.0130
Non-smoker 1054 25.3 376 35.7 678 64.3 4391 87.5 1668 38.0 2723 62.0
Ex-smoker 1623 39.0 419 25.8 1204 74.2 344 6.9 123 35.8 221 64.2
Current smoker 1484 35.7 324 21.8 1160 78.2 282 5.6 83 29.4 199 70.6
Age <0.0001 <0.0001
20–29 645 15.5 276 42.8 369 57.2 688 13.7 361 52.5 327 47.5
30–39 800 19.2 250 31.3 550 68.8 1007 20.1 453 45.0 554 55.0
40–49 936 22.5 238 25.4 698 74.6 1215 24.2 447 36.8 768 63.2
50–59 810 19.5 175 21.6 635 78.4 1044 20.8 319 30.6 725 69.4
60–69 585 14.1 114 19.5 471 80.5 718 14.3 202 28.1 516 71.9
≥70 385 9.3 66 17.1 319 82.9 345 6.9 92 26.7 253 73.3
Marital status <0.0001 <0.0001
Married 2916 70.1 683 23.4 2233 76.6 3507 69.9 1234 35.2 2273 64.8
Divorced 146 3.5 30 20.5 116 79.5 302 6.0 80 26.5 222 73.5
Single 1099 26.4 406 36.9 693 63.1 1208 24.1 560 46.4 648 53.6
Educational level <0.0001 <0.0001
Middle school 673 16.2 85 12.6 588 87.4 1057 21.1 250 23.7 807 76.3
High school 1498 36.0 416 27.8 1082 72.2 1767 35.2 652 36.9 1115 63.1
College 1990 47.8 618 31.1 1372 68.9 2193 43.7 972 44.3 1221 55.7
Household income <0.0001 <0.0001
Low 477 11.5 93 19.5 384 80.5 632 12.6 179 28.3 453 71.7
Mid-low 939 22.6 230 24.5 709 75.5 1239 24.7 449 36.2 790 63.8
Mid-high 1280 30.8 345 27.0 935 73.0 1526 30.4 592 38.8 934 61.2
High 1465 35.2 451 30.8 1014 69.2 1620 32.3 654 40.4 966 59.6
Region <0.0001 <0.0001
Metropolitan 1973 47.4 533 27.0 1440 73.0 2437 48.6 927 38.0 1510 62.0
Urban 1556 37.4 479 30.8 1077 69.2 1891 37.7 798 42.2 1093 57.8
Rural 632 15.2 107 16.9 525 83.1 689 13.7 149 21.6 540 78.4
Perceived stress level 0.2388 0.1054
Low 636 15.3 150 23.6 486 76.4 663 13.2 234 35.3 429 64.7
Mid-low 2433 58.5 667 27.4 1766 72.6 2858 57.0 1059 37.1 1799 62.9
Mid-high 934 22.4 259 27.7 675 72.3 1214 24.2 485 40.0 729 60.0
High 158 3.8 43 27.2 115 72.8 282 5.6 96 34.0 186 66.0
Occupational categories <0.0001 <0.0001
White 1433 34.4 463 32.3 970 67.7 1419 28.3 633 44.6 786 55.4
Pink 495 11.9 128 25.9 367 74.1 846 16.9 284 33.6 562 66.4
Blue 1309 31.5 229 17.5 1080 82.5 657 13.1 174 26.5 483 73.5
Inoccupation 924 22.2 299 32.4 625 67.6 2095 41.8 783 37.4 1312 62.6
Current drinking status <0.0001 0.7788
Never 1019 24.5 274 26.9 745 73.1 2457 49.0 914 37.2 1543 62.8
Monthly 1640 39.4 515 31.4 1125 68.6 1847 36.8 700 37.9 1147 62.1
Weekly 1502 36.1 330 22.0 1172 78.0 713 14.2 260 36.5 453 63.5
Physical activity <0.0001 0.0002
Adequate 2077 49.9 614 29.6 1463 70.4 2210 44.1 888 40.2 1322 59.8
Inadequate 2084 50.1 505 24.2 1579 75.8 2807 55.9 986 35.1 1821 64.9
Teeth Brushing Frequency <0.0001 <0.0001
≤1 464 11.2 102 22.0 362 78.0 164 3.3 43 26.2 121 73.8
2 1694 40.7 399 23.6 1295 76.4 1779 35.5 619 34.8 1160 65.2
≥3 2003 48.1 618 30.9 1385 69.1 3074 61.3 1212 39.4 1862 60.6
Dental checkup status <0.0001 <0.0001
No 2616 62.9 609 23.3 2007 76.7 3016 60.1 1004 33.3 2012 77.7
Yes 1545 37.1 510 33.0 1035 67.0 2001 39.9 870 24.0 1131 76.0

Table 2 presents the multivariate logistic regression analysis results that explore the association between smoking and periodontal disease while adjusting for covariates. The smokers had a higher risk of periodontal disease than the non-smokers. While the ex-smokers were statistically insignificant, the current smokers were significant for males (OR: 1.78, 95% CIs = 1.43–2.23) and females (OR: 1.44, 95% CIs = 1.04–1.99). As age increased, the participants showed an elevated risk of periodontal disease. The participants with a middle school education or lower had a higher risk of periodontal disease than those with a college education (males OR: 1.63, 95% CIs = 1.15–2.23, females OR: 1.59, 95% CIs = 1.18–2.14). The individuals who did not receive dental checkups were likelier to have periodontal diseases (males OR: 1.62, 95% CIs = 1.36–1.93, females OR: 1.60, 95% CIs = 1.39–1.84).

Table 2.

Results of factors associated with smoking and community periodontal index.

Variables Community Periodontal Index (CPI)
Male Female
OR 95% CIs OR 95% CIs
Smoking Behavior
Non-smoker 1.00 1.00
Ex-smoker 1.20 (0.95–1.50) 1.19 (0.89–1.60)
Current smoker 1.78 * (1.43–2.23) 1.44 * (1.04–1.99)
Age
20–29 1.00 1.00
30–39 1.41 (0.99–2.00) 1.18 (0.91–1.54)
40–49 1.77 * (1.24–2.51) 1.63 * (1.24–2.15)
50–59 1.83 * (1.24–2.69) 1.93 * (1.44–2.57)
60–69 2.36 * (1.53–3.64) 1.79 * (1.27–2.52)
≥70 2.87 * (1.70–4.83) 1.88 * (1.20–2.96)
Marital status
Married 1.00 1.00
Divorced 0.77 (0.51–1.17) 1.36 (0.97–1.92)
Single 0.86 (0.64–1.14) 0.79 * (0.63–0.98)
Educational level
Middle school 1.63 * (1.15–2.23) 1.59 * (1.18–2.14)
High school 1.10 (0.89–1.35) 1.10 (0.92–1.31)
College 1.00 1.00
Household income
Low 1.47 * (1.01–2.15) 1.03 (0.78–1.37)
Mid-low 1.15 (0.90–1.46) 0.99 (0.82–1.21)
Mid-high 1.05 (0.86–1.28) 0.93 (0.78–1.12)
High 1.00 1.00
Region
Metropolitan 1.00 1.00
Urban 0.77 (0.59–1.02) 0.73 (0.57–0.92)
Rural 1.39 (0.91–2.10) 1.78 * (1.19–2.67)
Perceived stress level
Low 1.00 1.00
Mid-low 0.89 (0.69–1.14) 1.02 (0.83–1.26)
Mid-high 0.93 (0.68–1.27) 0.98 (0.77–1.25)
High 0.94 (0.59–1.50) 1.25 (0.881.77)
Occupational categories
White 1.00 1.00
Pink 1.13 (0.85–1.52) 1.17 (0.92–1.48)
Blue 1.48 * (1.17–1.89) 1.06 (0.80–1.41)
Inoccupation 0.72 * (0.57–0.91) 1.00 (0.83–1.20)
Current drinking status
Never 1.00 1.00
Monthly 0.92 (0.74–1.14) 1.24 * (1.07–1.43)
Weekly 1.21 (0.95–1.55) 1.17 (0.95–1.45)
Physical activity
Adequate 1.00 1.00
Inadequate 1.03 (0.87–1.22) 1.04 (0.90–1.21)
Teeth Brushing Frequency
≤1 1.17 (0.87–1.57) 1.57 * (1.03–2.39)
2 1.21 * (1.02–1.43) 1.02 (0.88–1.17)
≥3 1.00 1.00
Dental checkup status
No 1.62 * (1.36–1.93) 1.60 * (1.39–1.84)
Yes 1.00 1.00

* p-value < 0.05.

Table 3 presents the results of the subgroup analysis for the independent variables stratified by smoking behavior. Most of the ex-smokers did not have significant results. The observed results were more significant in the males than in the females. The risk of periodontal disease generally increased with age in men who are current smokers but was not statistically significant in their 50s. The current smokers had a higher risk of periodontal disease in all education levels, and the risk was highest for those with middle school education or lower (OR: 3.15; 95% CIs = 1.37–7.21). The current smokers had a risk of periodontal disease, regardless of their physical activity status (male, adequate: OR = 1.83, 95% CIs = 1.35–2.50; inadequate: OR = 1.77, 95% CIs = 1.30–2.42). Similarly, regardless of whether they received regular dental checkups, current smokers had a higher risk of periodontal disease (male, checkups: OR = 1.90, 95% CIs = 1.40–2.59; no checkups: OR = 1.73, 95% CIs = 1.29–2.33).

Table 3.

Results of subgroup analysis stratified by independent variables.

Variables Community Periodontal Index (CPI)
Male Female
Non Ex-Smoker Current Smoker Non Ex-Smoker Current Smoker
OR OR 95% CIs OR 95% CIs OR OR 95% CIs OR 95% CIs
Age
 20–29 1.00 1.10 (0.63–1.92) 1.82 * (1.16–2.86) 1.00 0.83 (0.45–1.55) 0.87 (0.41–1.83)
 30–39 1.00 1.40 (0.85–2.31) 1.78 * (1.16–2.73) 1.00 1.23 (0.76–2.00) 2.73 * (1.45–5.17)
 40–49 1.00 1.31 (0.84–2.04) 2.21 * (1.37–3.29) 1.00 1.34 (0.74–2.42) 1.37 (0.72–2.61)
 50–59 1.00 0.88 (0.49–1.57) 1.34 (0.72–2.48) 1.00 1.88 (0.72–4.92) 1.62 (0.64–4.10)
 60–69 1.00 1.38 (0.75–2.54) 2.57 * (1.10–6.03) 1.00 0.98 (0.32–1.71) 1.76 (0.36–8.70)
 ≥70 1.00 1.59 (0.68–3.71) 2.71 (0.68–10.71) 1.00 3.56 (0.45–28.27) - -
Marital status
 Married 1.00 1.26 (0.96–1.65) 1.91 * (1.44–2.53) 1.00 1.18 (0.81–1.72) 1.51 (0.81–1.72)
 Divorced 1.00 0.07 * (0.01–0.89) 0.06 (0.00–1.32) 1.00 0.90 (0.34–2.35) 4.44 * (1.49–13.27)
 Single 1.00 1.06 (0.65–1.72) 1.70 * (1.18–2.43) 1.00 1.14 (0.70–1.86) 1.07 (0.61–1.87)
Educational level
 Middle school 1.00 1.70 (0.87–3.30) 3.15 * (1.37–7.21) 1.00 1.12 (0.43–2.90) 11.40 * (2.93–44.45)
 High school 1.00 1.21 (0.83–1.77) 1.67 * (1.14–2.44) 1.00 1.14 (0.68–1.93) 1.25 (0.77–2.03)
 College 1.00 1.14 (0.85–1.52) 1.76 * (1.34–2.32) 1.00 1.19 (0.80–1.77) 1.13 (0.66–1.93)
Household income
 Low 1.00 0.78 (0.37–1.67) 1.95 (0.84–4.55) 1.00 1.28 (0.44–3.72) 2.73 (0.95–7.87)
 Mid-low 1.00 1.38 * (1.47–4.45) 2.56 * (1.47–4.47) 1.00 1.45 (0.83–2.54) 1.61 (0.85–3.05)
 Mid-high 1.00 1.17 (0.78–1.74) 1.82 * (1.22–2.71) 1.00 1.16 (0.72–1.88) 1.27 (0.72–2.27)
 High 1.00 1.19 (0.85–1.68) 1.51 * (1.09–2.11) 1.00 1.04 (0.61–1.77) 1.14 (0.60–2.17)
Region
 Metropolitan 1.00 1.39 * (1.00–1.95) 2.16 * (1.57–2.95) 1.00 1.19 (0.80–1.77) 0.95 (0.59–1.55)
 Urban 1.00 1.22 (0.88–1.70) 1.75 * (1.24–2.47) 1.00 1.18 (0.76–1.86) 2.24 * (1.32–3.80)
 Rural 1.00 0.43 (0.19–1.00) 0.74 (0.35–1.59) 1.00 1.19 (0.32–4.40) 1.48 (0.67–3.29)
Perceived stress level
 Low 1.00 1.41 (0.82–2.42) 4.02 * (1.96–8.27) 1.00 1.52 (0.59–3.91) 1.96 (0.63–6.12)
 Mid-low 1.00 1.16 (0.87–1.54) 1.72 * (1.29–2.31) 1.00 1.17 (0.78–1.76) 1.48 (0.93–2.36)
 Mid-high 1.00 1.28 (0.79–2.06) 1.87 * (1.18–2.96) 1.00 1.18 (0.64–2.19) 1.25 (0.70–2.23)
 High 1.00 0.55 (0.13–2.37) 0.75 (0.23–2.43) 1.00 0.93 (0.40–2.16) 1.29 (0.51–3.27)
Occupational categories
 White 1.00 1.19 (0.86–1.63) 1.68 * (1.21–2.33) 1.00 1.21 (0.76–1.93) 1.23 (0.64–2.38)
 Pink 1.00 0.72 (0.33–1.54) 1.29 (0.71–2.36) 1.00 0.95 (0.46–1.97) 1.57 (0.79–3.12)
 Blue 1.00 1.08 (0.71–1.65) 1.80 * (1.16–2.80) 1.00 0.65 (0.23–1.82) 2.92 * (1.07–1.82)
 Inoccupation 1.00 1.57 (0.99–2.48) 2.10 * (1.28–3.43) 1.00 1.44 (0.91–2.28) 1.26 (0.75–2.28)
Current drinking status
 Never 1.00 1.48 (0.98–2.23) 1.90 * (1.23–2.94) 1.00 1.22 (0.74–2.01) 1.84 * (1.01–3.38)
 Monthly 1.00 1.27 (0.92–1.76) 1.88 * (1.37–2.57) 1.00 1.32 (0.87–1.99) 1.12 (0.67–1.89)
 Weekly 1.00 0.87 (0.56–1.36) 1.45 (0.95–2.21) 1.00 1.09 (0.59–2.11) 1.59 (0.95–2.66)
Physical activity
 Adequate 1.00 1.12 (0.83–1.50) 1.83 * (1.35–2.50) 1.00 0.97 (0.66–1.43) 1.11 (0.68–1.81)
 Inadequate 1.00 1.32 (0.96–1.82) 1.77 * (1.30–2.42) 1.00 1.43 (0.96–2.21) 1.88 * (1.26–2.79)
Teeth Brushing Frequency
 ≤1 1.00 1.12 (0.52–2.39) 1.32 (0.62–2.84) 1.00 4.59 (0.64–32.98) 3.18 (0.59–17.18)
 2 1.00 1.52 * (1.04–2.22) 1.41 * (1.48–3.05) 1.00 1.26 (0.83–1.92) 1.21 (0.71–2.05)
 ≥3 1.00 1.05 (0.77–1.42) 1.70 * (1.26–2.29) 1.00 1.16 (0.81–1.65) 1.65 * (1.08–2.51)
Dental checkup status
 No 1.00 1.06 (0.79–1.43) 1.73 * (1.29–2.33) 1.00 1.05 (0.74–1.48) 1.95 * (1.29–2.95)
 Yes 1.00 1.39 * (1.01–1.91) 1.90 * (1.40–2.59) 1.00 1.57 * (1.02–2.42) 0.82 (0.48–1.38)

* p-value < 0.05.

The results of the subgroup analysis, which were stratified by pack years and smoking cessation, are presented in Table 4. The males showed a statistically significant positive association. Those with a higher number of pack years had a higher risk of periodontal diseases than the non-smokers (over 20 pack years OR: 1.84, 95% CIs = 1.38–2.47). Those who had quit smoking for less than five years had a higher risk of periodontal disease than the non-smokers but lower than the current smokers (males OR: 1.42, 95% CIs = 1.04–1.96; females OR: 1.11, 95% CIs = 1.71–1.74).

Table 4.

Results of subgroup analysis stratified by pack years and smoking cessation.

Variables Community Periodontal Index (CPI)
Male Female
OR 95% CIs OR 95% CIs
Pack-Years
Non-smoker 1.00 1.00
Pack Years < 5 1.11 (0.87–1.42) 1.16 (0.90–1.50)
5 ≤ Pack Years < 10 1.75 * (1.34–2.27) 1.71 (0.94–3.13)
10 ≤ Pack Years < 15 1.47 * (1.10–2.27) 1.47 (0.72–3.00)
15 ≤ Pack Years < 20 1.80 * (1.27–2.56) 1.96 (0.62–6.18)
20 ≤ Pack Years 1.84 * (1.38–2.47) 2.69 (0.90–8.05)
Smoking Cessation Status
Non-smoker 1.00 1.00
Ex-smoker (5 yr. > Cessation) 1.42 * (1.04–1.96) 1.11 * (1.71–1.74)
Ex-smoker (5 yr. ≤ Cessation < 10 yr.) 1.69 * (1.16–2.47) 1.07 (0.61–1.87)
Ex-smoker (10 yr. ≤ Cessation) 0.93 (0.71–1.21) 1.32 (0.81–2.14)

* p-value < 0.05.

4. Discussion

Despite the reduction in smoking prevalence over the past 30 years, the total number of smokers has increased from 0.99 billion in 1990 to 1.14 billion in 2019 worldwide, due to population growth [23]. The American Academy of Periodontology has pointed out that smoking negatively impacts the healing and treatment of periodontitis [24]. The purpose of the study was two main issues. First, we used a nationwide survey with a large sample size to investigate the association between smoking and periodontal disease. Second, we attempted to support the importance of early smoking cessation by analyzing the relationship between smoking cessation in five-year intervals compared to the previous studies using ten-year intervals.

The mechanisms underlying the association between smoking and periodontal disease were the following. Smoking stimulates the establishment of pathogenic microflora, diminishes the immune host response, and elevates the release of inflammatory mediators [14,15,16,25]. As smokers are more likely to absorb pathogenic microorganisms than non-smokers, previous studies have reported an increase in particular pathogens in smokers, such as Actinobacillus actinomycetemcomitans and Bacteroides forsythus, although the pathogen levels may have varied, based on the methods used in the studies [14,26,27]. Smoking can affect host inflammatory and immune responses, such as the immunosuppressive effects of macrophages on cell-mediated immune responses, inhibition of human periodontal ligament fibroblast migration, and repression of alkaline phosphatase production by nicotine [28,29]. As with this mechanism, Table 2 shows current smokers had a higher risk of periodontal diseases than non-smokers. It supports previous studies’ results that smoking is a risk factor for oral health, even among young smokers [20]. Additionally, the results in Table 2 are in the same vein as previous studies, showing that smoking significantly influences periodontitis, using a large sample in the US [22].

Notable points in Table 2 were the results of age, education level, and dental checkup status variables. In the case of age, it was consistent with the results of previous studies that the prevalence of periodontal disease tends to increase as the age of participants increases. Previous studies in Brazil and India have reported that age increases affect the severity and prevalence of periodontal disease, regardless of gender [30,31]. The education level affected periodontal health. Middle school or lower education participants had a higher risk of periodontal disease than those with a college or higher education. As some studies have reported similar findings [22,32], education progressively decreases the risk of periodontal diseases. This finding implies that education regarding periodontal health is important. There was a higher risk of periodontal disease in people who did not undergo oral examinations, which supports previous studies that those who regularly underwent oral examinations had a lower risk of periodontal disease than those who did not [33,34].

In Table 3, male smokers in their 50s were not statistically significant. This counterintuitive finding can be explained by aging, which affects tooth loss [4,35]. Even if good physical activity habits and dental checkups were regularly undertaken, the current smokers had a higher risk of periodontal disease than the non-smokers. This result could explain that current smokers cannot avoid the risk of periodontal disease, even if they have good health habits.

As shown in Table 4, the men with high pack years had a higher risk of periodontal disease. However, the women showed statistically insignificant results. The results can be explained in the WHO Framework Convention on Tobacco Control (WHO FCTC) context. The WHO FCTC emphasized the need to consider gender when developing tobacco control strategies, as perceptions of smoking habits related to gender continue to differ depending on social contexts and cultural norms. Specifically, in Confucian Asian countries, there is still a tendency for views on female smoking to be more conservative than those on male smoking [36]. The smoking rate of women is also increasing in Korea. However, considering the social context, the data on the female smoking rate collected by voluntary reporting may not be accurate, due to the opposing views of some female smokers.

We found that ex-smokers with relatively short smoking cessation periods had a lower risk of periodontal disease than current smokers. This result can be compared to a previous study that reported the possibility of reversing the risk of periodontal disease if an individual quits smoking for ten years [15]. The sentence that smoking is harmful was too clear and simple, but the results of this study tried to support the importance of early smoking cessation. It could motivate smokers to quit smoking by revealing that people who quit smoking for a relatively short period, fewer than five years, have a lower risk of periodontal disease.

This study had several limitations. First, clarifying an inverse causal association was difficult since it was a cross-sectional study. Second, the KNHANES data were collected through a self-reported survey. The data on smoking behavior, health habits, and socioeconomic variables may not be accurately estimated. There was a possibility of recall bias. Third, it was impossible to identify the type of smoking, such as whether the participants used conventional cigarettes, e-cigarettes, or both. In addition, we could not use biological indicators, such as urine cotinine, in the subjects. Therefore, further studies are needed, considering these limitations.

Despite these limitations, our study has several strengths. The main strength of this study is the use of nationally representative, large, and high-quality data. KNHANES was conducted using a random cluster design, which can generalize the study’s results to the general population. Second, oral health examination datasets collected by public health doctors may effectively estimate periodontal disease risks. It was possible to estimate the risk of periodontal disease more precisely by using the CPI score through a doctor’s examination than by using the participant’s subjective oral symptom self-reported survey. Third, our study supported the importance of early smoking cessation. Compared to previous studies, we provided more proactive evidence for the importance of early smoking cessation.

5. Conclusions

This study demonstrated a strong association between smoking and periodontal disease in South Korean adults. Long-term smoking was closely related to poor periodontal health. The findings that even a relatively short period of smoking cessation, less than five years, had a positive impact on periodontal disease could be a powerful motivator for smokers. There is a need for effective tobacco control measures to reduce the prevalence of periodontitis. Tailored smoking cessation policies and educational interventions, highlighting the benefits of short-term smoking abstinence in reducing periodontal disease risk, could encourage current smokers to quit and ultimately improve public oral health.

Acknowledgments

The authors all agree with the manuscript and express appreciation to the professor and our colleagues from the Department of Public Health, Graduate School of Yonsei University, for their advice on our manuscript. The authors are responsible for the contents, including the data analysis. The statements in the study do not necessarily represent the official views of the Korea Disease Control and Prevention Agency.

Author Contributions

K.-Y.S. designed this study, performed the statistical analysis, and drafted and completed the manuscript. Y.S.J. (Yun Seo Jang), Y.S.J. (Ye Seul Jang) and N.N. contributed to the concept and design of the study and revised the manuscript. E.-C.P. conceived, designed, and directed this study. All authors have read and agreed to the published version of the manuscript.

Institutional Review Board Statement

The KNHANES survey collection protocols were approved by the KDCA Research Ethics Review Board. This survey did not require extra approval from the ethics review board because the data were accessible for downloading on the website.

Informed Consent Statement

Patient consent was waived due to the use of open-source data.

Data Availability Statement

The dataset used in this study is publicly accessible (https://knhanes.kdca.go.kr/knhanes/sub03/sub03_02_05.do (accessed on 1 January 2023)).

Conflicts of Interest

The authors declare no conflict of interest.

Funding Statement

The authors received no specific funding for this study.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The dataset used in this study is publicly accessible (https://knhanes.kdca.go.kr/knhanes/sub03/sub03_02_05.do (accessed on 1 January 2023)).


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