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Smoking, Smoking Cessation, and Risk of Tooth Loss 



Abstract 

The aim of this study was to investigate the association between cigarette smoking and smoking cessation and the prevalence and  

incidence of tooth loss in a large cohort study in Germany. We analyzed data of  participants of the European Prospective 

Investigation into Cancer and Nutrition (EPIC)–Potsdam study recruited between 1994 and 1998 from the general population in  

Potsdam and other parts of Brandenburg, Germany, who had complete data on cigarette smoking, tooth loss, and covariates. Negative  

binomial regression and tooth-specific logistic regression models were fit to evaluate the association between smoking and the baseline  

prevalence and incidence of tooth loss during follow-up, respectively. Cigarette smoking was associated with higher prevalence of tooth  

loss at baseline as well as higher incidence of tooth loss during follow-up. The association between smoking and the incidence of tooth  

loss was stronger in men than women and stronger in younger versus older individuals. Heavy smoking (≥15 cigarettes/d) was associated  

with >3 times higher risk of tooth loss in men (odds ratio, 3.6; 95% confidence interval, and more than twice the risk of tooth  

loss in women (odds ratio, 2.5; 95% confidence interval) younger than 50 y when compared with never smokers. Smoking  

cessation was consistently associated with a reduction in tooth loss risk, with the risk of tooth loss approaching that of never smokers  

after approximately 10 to 20 y of cessation. 


Introduction 

Tooth loss remains to be a major public health problem worldwide . With  

about 30% of people aged 65 to 74 y being edentulous globally,  

“sustainable improvements in oral health and a reduction in  

inequalities may be achieved by controlling the risk factors for  

oral diseases” 

Cigarette smoking is a major established risk factor for periodontitis and has been linked with higher prevalence of edentulism and fewer remaining teeth in a number of cross-sectional  

studiesand with increased rates of tooth loss in  

longitudinal studies

 However, evidence is scarce from large  

epidemiologic studies on the dose-dependent effects of smoking  

and smoking cessation on the incidence of tooth loss in the general population . 

The purpose of the present study was to evaluate the association between cigarette smoking and smoking cessation and  

the prevalence and incidence of tooth loss in a large cohort  

study in Germany. 

Materials 

Study Population 

The European Prospective Investigation into Cancer and  

Nutrition (EPIC)–Potsdam Study is part of the large-scale  

Europe-wide prospective cohort study EPIC and includes

individuals. Details of the  

cohort design and recruitment can be found elsewhere. Briefly, participants were recruited between 1994  

and 1998 from the general population with the preferred ages of  

35 to 65 y in women and 40 to 65 y in men. Participants attended  

the study center for a baseline examination, self-administered  

questionnaires, and personal computer-guided interviews.  

Information on incident diseases and changes in lifestyle or diet  

is assessed by mailed follow-up questionnaires Response rates for all follow-up rounds thus far have  

exceeded 90% on each occasion. All participants gave written  

informed consent, and the Ethics Committee of the Federal State  

Brandenburg approved all study procedures. This study conforms to the STROBE guidelines. 

Methods 

Assessment of Cigarette Smoking 

The baseline questionnaire asked detailed questions on the history of cigarette smoking, including the number of cigarettes  

smoked per day, smoking duration (in years), and time since  

cessation for former smokers (in years). Pack-years of smoking was calculated from these data (smoking duration in  

years × numbers of cigarettes smoked per day / 20). 

Assessment of Risk Factors and Covariates 

Educational attainment was expressed as “vocational school or  

less” (equal to or less than a lower education of 10 y of school  

education with 2 y of additional professional training), “technical school” (10 y of school followed by >2 y of professional  

training), or “university.” Body mass index and waist-to-hip  

ratio were calculated from measured body weight and height  

and from waist and hip circumferences, respectively.  

Hypertension was defined as systolic blood pressure >140 mm  

Hg, diastolic blood pressure >90 mm Hg, self-reporting of a  

diagnosis, or use of antihypertensive medication. Self-reported  

diagnosis of diabetes mellitus at baseline was validated by a  

study physician using medical record review. Dietary habits— 

including alcohol consumption and intake of vitamins or mineral supplements during the preceding year—were assessed by  

a validated self-administered food frequency questionnaire  


Assessment of Tooth Loss 

In the fourth follow-up questionnaire returned between 2004  

and 2006, patients reported the number of natural teeth and the  

number of teeth lost since study baseline. We calculated the  

baseline number of teeth by adding the number of teeth lost  

during the follow-up period to the number of teeth present at  

the fourth follow-up. 

Data Analysis 

With the exception of data on tooth loss, data assessed at study  

baseline (1994 to 1998) were used for all analyses. However,  

because data on tooth loss were collected only at the fourth  

follow-up between 2004 and 2006, we restricted the analyses  

to participants who returned the fourth follow-up questionnaire. Of these(1.2%) had to be excluded, as they did  

not respond to either of the tooth loss questions, and an additional (0.4%) were excluded because they gave inconsistent responses to the questions on tooth loss. We also excluded  

 (1.7%) participants with missing data on cigarette smoking and  (0.8%) participants with missing data in any of the  

covariates. 

For the analysis of the association between smoking and  

number of teeth at baseline, negative binomial regression models were fit to obtain relative risks and 95% confidence intervals (CIs). These relative risks should be interpreted as the  

ratio of the mean number of teeth in different smoking habit  

categories, adjusted for covariates. For the analysis of the association between smoking and incidence of tooth loss during  

follow-up, tooth-specific logistic models were fit, with tooth  

loss as the dependent variable to obtain odds ratios (ORs) and  

95% CIs. To account for clustering of teeth within subjects,  

generalized estimating equations with an exchangeable correlation matrix were used. Here, ORs should be interpreted as the  

relative risk of a tooth being lost as a function of smoking  

exposure, adjusted for covariates. 

Smoking exposure was modeled via mutually exclusive categories: never smokers, former smokers (<10, 10 to <20, ≥20 y  

since cessation), and current smokers (<15 and ≥15 cigarettes/d).  

Basic models adjusted for age (baseline prevalence) and age  

and follow-up time (incidence during follow-up) and fully  

adjusted models adjusted for age, sex, education, diabetes,  

body mass index, waist-to-hip ratio, hormone replacement  

therapy, contraception, intake of vitamins and mineral supplements, physical activity, alcohol intake, hypertension, and cardiovascular disease at baseline. These variables were included






in the fully adjusted models, as they are possible risk markers  

of tooth loss or other causes of tooth loss, including dental disease and health behaviors. 

Interaction terms were used to explore prespecified interactions of smoking with sex and 3 age groups (<50, 50 to 59,  

≥60 y). For all subsequent analyses, separate models were fit  

for men and women. 

All statistical analyses were performed with STATA 11  

(STATA Corp., College Station, TX, USA). 

This report conforms to the STROBE statement. 

Results 

Characteristics of the Population 

The final analytic sample consisted of participants  

 men and  women; mean age at baseline, 50 y;  

range, 20 to 70 y), who at baseline had a median of 25 natural  

teeth present, with 1,566 (6.7%) being edentulous. The number  

of teeth at baseline decreased with increasing age and was  

slightly lower for women than men. Men <50 y had a median  

of 28 teeth present, compared with 25 and 18 teeth for men  

aged 50 to 59 and ≥60 y, respectively; the corresponding figures for women were 27, 23, and 17 teeth. A total of 4,394  

(19%) participants were current cigarette smokers, and 7,268  

(31%) were former cigarette smokers. Compared with never  

smokers, current smokers were more likely to be male, less  

educated, more likely to be hypertensive, and less likely to take  

vitamins/mineral supplements, and they had higher alcohol  

consumption  

Cigarette Smoking and Baseline Prevalence  

of Tooth Loss 

We found a negative dose-dependent association between cigarette smoking and smoking cessation and number of natural  

teeth at baseline. However, the association was 


stronger among men than women (for interaction, P = 0.0004)  

and stronger in older men than in men <50 y (for interaction,  

P < 0.0001) as well as in older women than younger women  

(for interaction, P = 0.0001). 

Men <50 y who had never smoked had a median number of  

28 teeth remaining, compared with 25 teeth for current smokers smoking >15 cigarettes/d (Table 2). After multivariate  

adjustment, current heavy smokers had on average 13% (95%  

CI: 7 to 18) fewer teeth than those who never smoked (Table  

2). Men ≥60 y who had never smoked had a median number of  

22 teeth remaining, compared with 7 teeth for current heavy  

smokers. After multivariable adjustment, current heavy smokers had 48% (95% CI: 42 to 54), and current light smokers had  

35% (95% CI: 27 to 42) fewer teeth on average than never  

smokers (Table 2). 

Female never smokers <50 y had a median number of 27  

natural teeth, compared with 25 in those smoking ≥15  

cigarettes/d. After multivariate adjustment, when compared  

with those who never smoked, current heavy smokers had on  

average 12% (95% CI: 7 to 16) fewer teeth and current light  

smokers, 7% (95% CI: 4 to 10; Table 3). Women ≥60 y who  

had never smoked had a median number of 18 teeth remaining,  

compared with 11 teeth for current heavy smokers. After multivariable adjustment, when compared with never smokers,  

current heavy smokers had 29% (95% CI: 17 to 39) fewer teeth  

on average and current light smokers, 23% (95% CI: 16 to 30;  


Among men and women, participants who had quit smoking  

prior to baseline had lost more teeth than never smokers but had  

on average more teeth remaining than current smokers. There  

was a positive association between time since cessation and  

number of remaining teeth across all subgroups; however, in  

particular among older participants, former smokers had fewer  

remaining teeth even after 10 y of abstinence 

Cigarette Smoking and Incidence of Tooth Loss 

The 21,810 participants who had at least 1 natural tooth  

remaining at baseline were followed for a mean of 8.6 y (range,  

6.8 to 13.1 y). Over the course of follow-up, 32,478 (6.4%) of




the 509,700 remaining teeth at baseline were lost, and 3,843  

men (46%) and 5,707 women (42%) lost at least 1 tooth. 

We found a positive dose- and time-dependent association  

between baseline cigarette smoking and incidence of tooth loss  

during follow-up. The association was stronger  

among men than women (for interaction, P = 0.02), and significant effect measure modification by age was found among  

men (for interaction, P = 0.02) and women (for interaction, P =  

0.002). For men <50 y, each tooth in current heavy smokers  

had 3 to 4 times higher odds of being lost during follow-up as 

compared with never smokers (OR = 3.6; 95% CI: 3.0 to 4.4).  

For men ≥60 y, teeth of current heavy smokers had >2 times  

higher odds (OR = 2.5; 95% CI: 1.8 to 3.3) of being lost when  

compared with teeth of never smokers . For women  

<50 y, teeth of current heavy smokers (OR = 2.5; 95% CI: 2.1  

to 2.9) and current light smokers (OR = 1.7; 95% CI: 1.5 to 2.0)  

were more likely to be lost than those of never smokers. Similar  

but somewhat weaker associations were observed among  

women ≥60 y  

Among men and women, teeth of individuals who had quit  

smoking prior to baseline had a higher risk of being lost than  

that of the teeth of never smokers. There was a negative association between time since cessation and risk of tooth loss  

across all subgroups, with the risk of tooth loss approaching  

that in never smokers after about 10 to 20 y of abstinence  

Discussion 

In this large population-based prospective cohort study of men  

and women in the state of Brandenburg, Germany, we found a  

strong dose-dependent association between cigarette smoking  

and the prevalence and incidence of tooth loss, independent of  

other risk factors and potential confounders. The risk of tooth  

loss declined after smoking cessation as a function of time  

since cessation; however, compared with that of never smokers, the risk of tooth loss remained elevated until approximately 20 y after smoking cessation. The association between  

smoking and tooth loss was stronger in men than in women and  

was stronger in younger compared with older men and women. 

Periodontitis is likely to be an important intermediate factor  

in the association between smoking and tooth loss observed in  

this study. However, there is emerging evidence that cigarette  

smoking may also be a risk factor for dental caries 

 and periapical pathosis 


Following smoking cessation, there is a time-dependent  

reduction of the smoking-associated excess risk of tooth loss,  

with marked benefits of cessation evident within the first 10 y  

after smoking cessation. However, it may take up to 20 y for  

the risk to decline to that of never smokers. These results are 

largely consistent with the findings from previous studies in  

the United States and Australia 

The observed sex differences are intriguing. In the present  

study, stronger associations were consistently observed among  

men compared with women. Women had more missing teeth at  

baseline  and a higher incidence of tooth loss during follow-up compared with men  These latter findings are consistent with data from another large German  

population based cohort study, where more tooth loss was  

observed in women compared with men, even though, paradoxically, the prevalence of periodontitis was lower in women  

than men . This illustrates that incident  

tooth loss is not simply the end point of dental disease but is



also affected by factors related to dental care, including treatment preferences and ability/willingness to pay for dental  

treatment 

Although this is somewhat speculative, the higher relative  

risks associated with smoking among men compared with  

women may thus be merely the reflection of the lower background incidence of tooth loss as well as the higher risk of  

periodontitis in men, rendering men—in relative terms—more  

susceptible to the effects of smoking. However, this finding  

may not generalize to other populations. For example, a study  

of young adults in Finland reported a lower prevalence of tooth  

loss and a stronger association between smoking and prevalent  

tooth loss in women compared with men 

Important strengths of this study are its population-based  

prospective design, large sample size, and detailed data on  

smoking history, allowing for fine exposure categories and precise estimates.

 Considering that tooth loss is the outcome of a  

complex process that may involve numerous factors that may  

also be related to cigarette smoking  

another strength of this study is our ability to control for a variety of potential confounders. Furthermore, the population is  

comparatively homogeneous in terms of race and access to  

dental care, as the study population is almost exclusively  

Caucasian and dental care, including restorative dental care, is  

included in the statutory general health insurance. A limitation  

of this study is the lack of detailed data on oral health status,  

oral hygiene habits, and dental care utilization, limiting our  

ability to explore the mechanistic link between smoking and

tooth loss. Furthermore, there is the possibility that the effect  

estimates in this study are confounded by differences in oral  

hygiene status or oral hygiene habits between smokers and  

nonsmokers. However, previous studies have failed to consistently demonstrate marked differences in oral hygiene between  

smokers and nonsmokers . As  

with any observational study, there is the possibility of residual  

confounding and confounding by other unknown or unmeasured confounders, which could result in over- or underestimation of the causal association of cigarette smoking and tooth  

loss. Assessment of tooth loss was based on individuals’ selfreport, which has been demonstrated to have high validity in  

several studies in various populations ;  

 in terms of number of  

teeth present as well as incident tooth loss. However, some  

measurement error is likely to have occurred, given that in our  

study respondents had to recall tooth loss over approximately a  

10-y period. While it may be reasonable to assume that such  

measurement error would have been independent of a subject’s  

smoking status, this may have resulted in an attenuation of  

relative risk estimates. Last, the results may not be generalizable to other populations, in particular to populations with a  

different racial/ethnic composition or markedly different reasons for tooth loss or access to and/or utilization of dental care. 

In conclusion, there is a strong dose-dependent association  

between cigarette smoking and the risk of tooth loss. The risk  

declines after cessation of cigarette smoking; however, the risk  

may remain elevated for up to 20 y compared with never smokers. Efforts to improve the oral health of the population should  

include the prevention of smoking as well the promotion of  

smoking cessation.









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د/أمير أبو الغيط

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