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Association between coffee consumption and periodontal diseases: a systematic review and meta-analysis
Abstract
Background
Several studies have demonstrated association between coffee consumption and periodontal diseases. However, no systematic review and meta-analysis was performed. Therefore, we performed a systematic review and meta-analysis to evaluate the association between coffee intake and periodontitis.
Methods
We defined PICO statement as “Do coffee drinkers have a higher association of periodontitis or tooth loss than non-coffee drinkers?”. We searched for articles using the Embase and Medline databases. The odds ratio was used as an effect measure to evaluate the association between coffee and periodontitis We divided coffee intake doses into three groups: no intake (≤ 0.03 cups/day), low intake (0.03 < x < 1 cups/day), and high intake (≥ 1 cup/day). Cohort and cross-sectional studies were eligible for inclusion in this study. The Newcastle–Ottawa scale was used to qualitatively assess the risk of bias. The degree of heterogeneity between studies was quantified using I2 statistics.
Results
Six articles were analysed, including two cohort studies and four cross-sectional studies. The pooled unadjusted odds ratios of periodontitis were 1.14 (0.93–1.39), 1.05 (0.73–1.52), 1.03 (0.91–1.16) and 1.10 (0.84–1.45) in the 4 meta-analyses (coffee drinker vs. non-coffee drinker, high intake vs. low intake, low intake vs. no intake, high intake vs. no intake), respectively.
Conclusion
This is the first meta-analysis to investigate the relationship between coffee consumption and periodontitis. There was no relationship between coffee consumption and periodontitis. Further studies are required to assess whether a relationship between coffee consumption and periodontitis exists or not.
PROSPERO registration number: CRD42022301341.
Supplementary Information
The online version contains supplementary material available at 10.1186/s12903-022-02310-2.
Introduction
Coffee is one of the most consumed beverages in the world. Its consumption is second in the beverage market after water consumption [1]. It has been reported to have many positive effects on human health [2]. Caffeine, a component of coffee, exerts antioxidant and anti-inflammatory effects. Furthermore, one study has suggested that chlorogenic acid from coffee has potent chemopreventive effects [3].
Many studies have investigated the relationship between coffee consumption and systemic diseases. Coffee has been proven to lower the risk of Alzheimer’s disease, Parkinson's disease, type 2 diabetes, liver cancer, and heart attack [4]. In contrast, it has been reported that coffee can also be harmful since it causes insomnia, restlessness, and high blood pressure [5–7].
Periodontal disease is an chronic oral inflammation and infection that damages the supporting tissues around the teeth [8]. Cytokines produced during periodontitis may enter the systemic circulation and can lead to other health complications [9]. It is highly prevalent worldwide and is one of two major oral diseases [10]. Periodontitis is closely associated with lifestyle, especially intake of medications and alcohol [11–13]. It has also been linked to systemic disease such as cancer and respiratory infections [14, 15]. Severe periodontitis also caused oral diseases and tooth loss [16, 17]. Hence, we decided to investigate the influence of coffee on the periodontitis.
Several papers have been published containing information on the association between coffee and periodontitis [18–27]. According to Han et al. (2016), the consumption of two or more cups of coffee each day may be considered as risk factor for periodontitis [22]. Meanwhile, Hong et al. (2021) reported no statistically significant association between coffee and periodontitis [19]. There is no currently systematic review and meta-analysis that comprehensively analysed association between coffee consumption and periodontal diseases. Therefore, we performed a systematic review and meta-analysis to evaluate this association.
Material and methods
Eligibility criteria
We defined PICO statement as “Do coffee drinkers have a higher association of periodontitis or tooth loss than non-coffee drinkers?”. All observational studies with detailed information on coffee consumption and periodontal diseases were eligible for inclusion in this study. Only articles published in English were included; however, publication year was not restricted. We also excluded non-human articles and non-articles type papers from the search.
Information sources and search strategy
This meta-analysis was conducted in accordance with the PRISMA guidelines [28]. We searched for articles using the Embase and Medline databases published until January 3, 2022. The search strategy was as follows: (coffee:ab,ti OR caffeine:ab,ti OR caffeinated:ab,ti) AND (periodontitis:ab,ti OR periodontal disease:ab,ti OR periodontal inflammation:ab,ti OR gum disease:ab,ti OR gum inflammation:ab,ti OR gingivitis:ab,ti OR periodontitis:ab,ti OR paradentitis:ab,ti OR oral health:ab,ti OR oral disease:ab,ti OR oral hygiene:ab,ti OR tooth loss:ab,ti OR missing teeth:ab,ti) AND (risk:ab,ti OR ratio:ab,ti OR prevalence:ab,ti OR incidence:ab,ti OR outcome:ab,ti OR prognosis:ab,ti OR hazard:ab,ti OR odds:ab,ti OR morbidity:ab,ti) AND ([article]/lim OR [article in press]lim) ANd {English]/lim AND [humans]lim.
Selection process
Two authors (YR and YC) independently selected suitable papers from the screened records and evaluated the eligibility of the papers. The same authors searched grey literatures by combining words included in the search strategy using Google and Google Scalar. In evaluating the papers' eligibility, disagreements were resolved through discussion by the authors.
Data collection process and data items
We extracted the following data during the screening phase: title, abstract, author name, publication year, publication type, article language, and summary language. Through a full-text assessment, the name of the disease, study year and region, number of samples, age, sex ratio, and effect sizes were added. We included studies that presented the number of samples or effect sizes according to our dose criteria. Papers containing unavailable data were excluded if they did not match the dose criteria set in this study.
Study risk of bias assessment
The Newcastle–Ottawa scale was used to qualitatively assess the risk of bias in the cohort studies [29]. For cross-sectional studies, the adapted version of the Newcastle–Ottawa scale presented by Herzog et al. was used [30]. The assessment tools are presented in the Additional file 1: Tables. We assessed the risk of bias in the included studies and verified the quality of evidence.
Effect measure
The odds ratio and 95% confidence intervals (CIs) were used to evaluate the association between coffee and periodontal diseases. For articles that did not represent the odds ratio, we calculated the odds ratio using the number of samples. The odds ratio was followed by unadjusted values and 95% CIs.
Synthesis methods
Data were shown as crude odds ratios (ORs) with 95% CIs. The overall degree of heterogeneity between studies was quantified using I2 statistics [31]. We used the random effect model because the heterogeneity of all results was more than 50%. Review Manager 5.4 software was used to synthesize the results. First, we compared coffee drinkers with non-coffee drinkers. Second, we compared high- and low-intake drinkers. Third, we compared low-intake drinkers with non-coffee drinkers. Fourth, we compared high-intake drinkers to non-coffee drinkers. Additionally, we analysed the relationship between coffee consumption and tooth loss. In the case of tooth loss, we compared coffee drinkers with non-coffee drinkers.
Results
Study selection and characteristics
A total of 46 records were identified based on the search terms, and 2 hand searching articles were additionally identified. Nineteen non-human subjects and non-article type papers were excluded. First, 29 studies were screened based on their titles and abstracts. Second, 16 articles that were unrelated to our study topic were excluded. Third, a full-text review was conducted on the remaining 13 articles. We excluded five articles based on the following criteria: no original article (systematic or narrative review), no control group articles, and no quantitative data. Finally, six articles were included (Fig. 1). These included two cohort studies and four cross-sectional studies. The characteristics of the included studies are shown in Table Table11.
Table 1
References | Study design | Country | Year of study | No. of participants | Male/female | Definition of Coffee intake | Definition of periodontal disease | Comments |
---|---|---|---|---|---|---|---|---|
Hong et al. [19] | Cohort | Korea | 2004–2016 | 134,855 | 47,123/87,732 | No drink mild drink (one time a month through six times a week) Heavy drink (one or more times a day) | Periodontitis—Yes or no (based-on questionnaire) | Coffee intake and periodontitis are not significant |
Abbass et al. [20] | Cross-sectional | Egypt | 2018 | 343 | 139/204 | ≤ 2 times/week 3–6 times/week 1–6 times/day | Periodontitis—Clinical and radiographic case identification was performed by trained examiners according to the latest classification of periodontal diseases | Caffeinated drinks were shown to have a positive correlation with periodontitis |
Han et al. [22] | Cross-sectional | Korea | 2008–2010 | 16,730 | 6,716/10,014 | ≤ Once per month Once per month < x ≤ 3 times per week Three times per week < x ≤ 6 times per week Once per day Twice per day Three or more per day | Periodontitis—Yes or no based-on community periodontal index score | Consumption of coffee may be considered an independent risk indicator of periodontal disease in Korean male adults |
Zuccarello et al. [23] | Cohort | Italy | – | 206 | 98/108 | Yes or no information obtained by participants | Chronic periodontitis—The diagnosis was based on the guidelines of the International Workshop for the Classification of Periodontal Disease and Conditions | No association was found between chronic periodontitis and lifestyles (coffee). Only familiarity showed a strong correlation |
Koyama et al. [40] | Cross-sectional | Japan | 2006 | 25,078 | 12,019/13,059 | < 1 cups/day 1–2 cups/day 3–4 cups/day 5 ≥ cups/day | Tooth loss—Yes (< 20 teeth) / no (≥ 20 teeth) | People who consumed more cups of coffee had a lower number of teeth |
Tanaka et al. [41] | Cross-sectional | Japan | 2002–2003 | 1,002 | 0/1,002 | < 1 time/week 1–6 times/week 1 + time/day | Tooth loss—Yes (+ 1 extraction teeth) / no (no extraction teeth) | Coffee consumption was independently associated with an increased prevalence of tooth loss |
Synthesis of the results
4 studies were used to evaluate the association between coffee and periodontitis. The pooled unadjusted odds ratios of periodontitis were 1.14 (95% CI 0.93–1.39; I2, 88%) (Fig. 2), 1.05 (95% CI 0.73–1.52; I2, 97%), 1.03 (95% CI 0.91–1.16; I2, 72%) and 1.10 (95% CI 0.84–1.45; I2, 96%) in the 4 meta-analyses (coffee drinker vs non-coffee drinker, high intake vs low intake, low intake vs no intake, high intake vs no intake), respectively (Table (Table22).
Table 2
Study | Events | Total | Events | Total | Odds ratio | Heterogeneity | Test for overall effect | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Weight | M-H, Random, 95% CI | Year | Chi2 | I2 | Z | p | |||||
Coffee drinker | Non-coffee drinker | ||||||||||
Zuccarello D. et al | 92 | 175 | 9 | 31 | 5.3% | 2.71 [1.18, 6.22] | 2014 | 17.09 | 88% | 1.27 | 0.20 |
Han K. et al | 4606 | 13,895 | 832 | 2835 | 46.1% | 1.19 [1.09, 1.30] | 2016 | ||||
Hong S.J. et al | 8320 | 113,082 | 1613 | 21,773 | 48.6% | 0.99 [0.94, 1.05] | 2021 | ||||
Overall | 13,018 | 127,152 | 2454 | 24,639 | 100.0% | 1.14 [0.93, 1.39] | |||||
High Intake | Low Intake | ||||||||||
Han K. et al | 3666 | 10,598 | 940 | 3297 | 44.3% | 1.33 [1.22, 1.44] | 2016 | 63.45 | 97% | 0.26 | 0.79 |
Abbass M.M.S. et al | 256 | 286 | 52 | 57 | 10.6% | 0.82 [0.30, 2.21] | 2020 | ||||
Hong S.J. et al | 6121 | 85,597 | 2199 | 27,485 | 45.0% | 0.89 [0.84, 0.93] | 2021 | ||||
Overall | 10,043 | 96,481 | 3191 | 30,839 | 100.0% | 1.05 [0.73, 1.52] | |||||
Low Intake | No Intake | ||||||||||
Han K. et al | 940 | 3297 | 832 | 2835 | 43.4% | 0.96 [0.86, 1.07] | 2016 | 3.54 | 72% | 0.48 | 0.63 |
Hong S.J. et al | 2199 | 27,485 | 1613 | 21,773 | 56.6% | 1.09 [1.02, 1.16] | 2021 | ||||
Overall | 3139 | 30,782 | 2445 | 24,608 | 100.0% | 1.03 [0.91, 1.16] | |||||
High Intake | No Intake | ||||||||||
Han K. et al | 3666 | 10,598 | 832 | 2835 | 49.2% | 1.27 [1.16, 1.39] | 2016 | 26.39 | 96% | 0.71 | 0.48 |
Hong S.J. et al | 6121 | 85,597 | 1613 | 21,773 | 50.8% | 0.96 [0.91, 1.02] | 2021 | ||||
Overall | 9787 | 96,195 | 2445 | 24,608 | 100.0% | 1.10 [0.84, 1.45] |
2 studies were used to evaluate the association between coffee and periodontitis. As severe periodontitis often leads to tooth loss, we also analysed two studies that included information on tooth loss cases depending on the consumption of coffee (Table (Table3).3). The odds ratio was 1.17 (95% CI 0.75–1.83; I2, 88%) (Fig. 3). Similar to the above results, the association between tooth loss and coffee intake was not statistically significant.
Table 3
Study | Events | Total | Events | Total | Odds ratio | Heterogeneity | Test for overall effect | ||||
---|---|---|---|---|---|---|---|---|---|---|---|
Weight | M-H, Random, 95% CI | Year | Chi2 | I2 | Z | p | |||||
Coffee drinker | Non-coffee drinker | ||||||||||
Tanaka K. et al | 171 | 597 | 85 | 405 | 44.7% | 1.51 [1.12, 2.04] | 2008 | 8.61 | 88% | 0.71 | 0.48 |
Koyama Y. et al | 5792 | 19,770 | 1742 | 5769 | 55.3% | 0.96 [0.90, 1.02] | 2010 | ||||
Overall | 5963 | 20,367 | 1827 | 6174 | 100.0% | 1.17 [0.75, 1.83] |
Risk of bias in studies
Risk of bias was evaluated for 2 cohort studies and 4 cross-sectional studies. The risk of bias of 2 cohort studies and 3 cross-sectional studies was rated as 'good', and 1 cross-sectional study was evaluated as ‘satisfactory’ (Additional file 1).
Certainty assessment
The quality of evidence was evaluated for the main outcome. The quality of evidence was assessed to be very low, based on the GRADE method (Table (Table44).
Table 4
Outcome | Quality assessment | ||||||||
---|---|---|---|---|---|---|---|---|---|
Required domains | Additional domains | Grade | |||||||
Study limitations | Consistency | Directness of evidence | Precision | Reporting bias | Dose–response association | Plausible confounding that would decrease observed effect | Strength of association (magnitude of effect) | ||
Periodontitis | Higha | Inconsistentb | Indirect | Precisec | Unevaluabled | Undetected | Presente | Weakf | ⨁◯◯◯ Very low |
Tooth loss | Higha | Inconsistentb | Indirect | Precisec | Unevaluabled | Undetected | Presente | Weakf | ⨁◯◯◯ Very low |
aAll-included studies are observational design
bConsiderable heterogeneity (I2 > 50%)
cSample size over 4000
dDue to small number of included studies
eAll-included studies are observational design, and all analyses were based on unadjusted estimates
fOR < 2.0
Discussion
Coffee intake was not found to be associated with periodontitis or tooth loss. This is the first meta-analysis to investigate the association between coffee consumption and periodontal diseases.
The effect of coffee on chronic inflammatory diseases remains controversial. C-reactive protein (CRP) is a known biomarker for inflammation [34]. One study found no association between coffee consumption and CRP [35]. On the contrary, some studies have suggested that coffee is beneficial for chronic inflammation [36]. Periodontitis is induced by an imbalance between the oral microbiota and the immune system, and coffee enhances the richness of the oral microbiome [9, 37]. Previous studies have shown that coffee consumption is not related to periodontitis; however, it is necessary to further analyse this relationship through a large-scale cohort study.
Periodontitis is an inflammatory condition where immune cells produce cytokines, such as IL-1 and IL-6. These factors activate osteoclasts, which destroy the alveolar bone, and inhibit bone forming osteoblasts. In addition, periodontal pathogenic bacteria directly inhibit osteoblasts and cause alveolar bone destruction, leading to tooth loss [38, 39]. According to our result, odds ratio for coffee intake and tooth loss was 1.17. Although we analysed only two cross-sectional studies, one of them had a significant result. Therefore, further large-scale cohort studies are required.
Our study had several limitations. First, the number of included studies was small. In addition, the criteria for dividing the dose levels varied in each study included in the analysis. Therefore, we had to create a new standard that could be applied to all six studies to categorise coffee doses. During this process, we assumed ‘less than 1 time per month (= less than 0.03 times per day)’ as ‘no coffee intake’. In addition, the exact quantity of coffee intake measured in these studies was not clear. The unit for the dose measurement was often indicated as ‘times’ or ‘cups’, and the exact amount of coffee or espresso shots included in each ‘time’ or ‘cup’ was not mentioned. Finally, there was variability among the definitions of periodontitis (e.g., clinical-based, self-reported questionnaire).
Despite these limitations, our study has several strengths. Our analysis was not on coffee consumption only, but was also done by the level of doses (low or high). Our odds ratios were consistent across all circumstances. Finally, as shown in the Additional file 1: Tables, most of included studies in our analysis were high quality.
Conclusion
In conclusion, there was no association between coffee consumption and periodontal diseases according to our study There is a lack of research on coffee and periodontal disease, and each paper defines coffee consumption and periodontal disease differently. Thus, it is important to interpret the results carefully. Future research needs to be conducted with a large number of subjects, including a more detailed definition of coffee consumption and periodontal disease.
Acknowledgements
Not applicable.
Author contributions
KK, and YHK conceptualised and designed the study. YR and YC collected, selected the data. YR, YC, and JP analysed the data. YR, YC, and JP drafted the manuscript. KK, YHK, and HRP revised the manuscript. All authors read and approved the final manuscript.
Funding
This work was supported by the Medical Research Center (MRC) program [Grant Number NRF-2018R1A5A2023879] and the Basic Science Research Program [Grant Number NRF-2020R1C1C1003741] through a National Research Foundation of Korea grant funded by the Korean government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Availability of data and materials
All data generated or analysed during this study are included in this published article.
Declarations
Not applicable.
Not applicable.
None of the authors had any conflict of interest.
Footnotes
Publisher's Note
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Yeonjae Rhee and Yongjun Choi contributed equally to this work as first authors.
Contributor Information
Kihun Kim, Email: moc.revan@3067nuhik.
Yun Hak Kim, Email: rk.ca.nasup@01501kahnuy.