| Literature DB >> 31683501 |
Abstract
It is well known that periodontal disease is highly related to dietary habits. As coffee is a typical beverage consumed worldwide, the relationship between coffee and periodontal disease was analyzed in this study using the data from the Korean National Health and Nutrition Survey (KNHANES) 2013-2015. Complex-samples chi square tests were performed for the comparison of the demographic characteristics of the 6528 study subjects and coffee components. Poisson linear regression analysis was performed for the analysis of the periodontal condition and coffee component effects, while complex-samples logistic regression analysis was performed to determine the demographic characteristics and coffee component effects. Over the years, the proportion of people drinking coffee with syrup or drinking a coffee mix containing both syrup and cream has decreased significantly. The results of the analysis, conducted by integrating the study subjects' demographic characteristics and the coffee components, showed that the prevalence of periodontal disease was 0.83-times lower when drinking coffee with cream than when drinking black coffee. Coffee is the world's second largest trade commodity following oil, and about 70%-80% of the world's population drinks coffee. Drinking coffee with milk or cream can have a beneficial impact on periodontal disease.Entities:
Keywords: coffee; dental care; national health insurance; periodontitis
Mesh:
Substances:
Year: 2019 PMID: 31683501 PMCID: PMC6862346 DOI: 10.3390/ijerph16214219
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Comparison of Coffee Components by Survey Year (Unit: N [%]).
| Year | Co | Co+Cr | Co+Sy | Co+Cr+Sy |
|
|---|---|---|---|---|---|
| 2013 | 791 (33.3) | 11 (0.4) | 119 (5.1) | 1474 (61.2) | 0.000 |
| 2014 | 793 (37.0) | 11 (0.7) | 77 (3.5) | 1266 (58.8) | |
| 2015 | 813 (41.1) | 17 (0.8) | 68 (3.2) | 1088 (54.9) | |
| Total | 2397 (37.0) | 39 (0.6) | 264 (4.0) | 3828 (58.4) | |
| †Daily coffee intake | 5.34 ± 0.251 | 5.00 ± 0.000 | 5.35 ± 0.702 | 5.43 ± 0.107 |
By chi square test using complex sampling design; Co (coffee), Cr (cream), and Sy (syrup). † by frequency analysis
Demographic Characteristics by Coffee Component (Unit: N [%]).
| Characteristics | Co | Co+Cr | Co+Sy | Co+Cr+Sy |
| |
|---|---|---|---|---|---|---|
| Gender | Male | 1037 (37.6) | 12 (0.5) | 113 (3.8) | 1661 (58.1) | 0.472 |
| Female | 1360 (36.4) | 27 (0.8) | 151 (4.1) | 2167 (58.7) | ||
| Total | 2397 (37.0) | 39 (0.6) | 264 (4.0) | 3828 (58.4) | ||
| Age | <20 | 550 (36.1) | 4 (0.3) | 47 (2.7) | 925 (60.9) | 0.029 |
| 20–39 | 488 (36.9) | 9 (0.8) | 54 (4.2) | 783 (58.2) | ||
| 40–59 | 705 (38.8) | 11 (0.4) | 70 (3.8) | 1066 (57.0) | ||
| 60≤ | 654 (35.1) | 15 (1.1) | 93 (5.3) | 1099 (58.6) | ||
| Total | 2397 (37.0) | 39 (0.6) | 264 (4.0) | 3828 (58.4) | ||
| Marital Status | Married | 1695 (32.0) | 33 (0.7) | 246 (4.5) | 3364 (62.9) | 0.000 |
| Single | 699 (59.6) | 6 (0.4) | 18 (1.6) | 464 (38.5) | ||
| Total | 2394 (37.0) | 39 (0.6) | 264 (4.0) | 3828 (58.4) | ||
| Education | ≥Elementary | 878 (37.0) | 12 (0.7) | 99 (3.9) | 1410 (58.4) | 0.735 |
| Middle school | 246 (35.2) | 6 (0.5) | 25 (2.9) | 423 (61.3) | ||
| High school | 589 (37.5) | 9 (0.6) | 66 (4.3) | 910 (57.6) | ||
| College≤ | 529 (38.8) | 11 (0.7) | 57 (4.2) | 794 (56.2) | ||
| Total | 2242 (37.5) | 38 (0.6) | 247 (4.0) | 3537 (57.9) | ||
| Household Income | Low | 480 (37.4) | 6 (0.5) | 52 (4.1) | 705 (57.9) | 0.936 |
| Middle-low | 485 (37.1) | 7 (0.5) | 57 (4.5) | 768 (57.9) | ||
| Middle | 481 (37.4) | 6 (0.5) | 49 (3.8) | 801 (58.3) | ||
| Middle-high | 466 (35.7) | 8 (0.5) | 53 (3.8) | 802 (60.0) | ||
| High | 470 (37.3) | 12 (1.0) | 52 (3.6) | 730 (58.1) | ||
| Total | 2382 (36.9) | 39 (0.6) | 263 (4.0) | 3806 (58.5) | ||
| Economic Activity | Active | 1208 (31.7) | 18 (0.5) | 165 (4.3) | 2445 (63.6) | 0.000 |
| None | 909 (48.4) | 16 (0.9) | 64 (3.3) | 894 (47.3) | ||
| Total | 2117 (37.2) | 34 (0.6) | 229 (4.0) | 3339 (58.3) |
By chi square test using complex sampling design; Co (coffee), Cr (cream), and Sy (syrup).
CPI of Maxillary by Region and Coffee Component.
| Characteristics | Maxillary Right Posterior | Maxillary Incisor | Maxillary Left Posterior | ||||||
|---|---|---|---|---|---|---|---|---|---|
|
| OR | 95% CI |
| OR | 95% CI |
| OR | 95% CI | |
| Co+Cr+Sy | 0.008 | 1.096 | 1.025–1.172 | 0.000 | 1.179 | 1.075–1.293 | 0.016 | 1.091 | 1.016–1.171 |
| Co+Sy | 0.010 | 1.225 | 1.051–1.428 | 0.783 | 1.033 | 0.820–1.302 | 0.002 | 1.293 | 1.103–1.516 |
| Co+Cr | 0.592 | −0.881 | 0.553–1.402 | 0.383 | −0.733 | 0.365–1.472 | 0.461 | 1.168 | 0.773–1.754 |
| Co | · | 1 | · | · | 1 | · | · | 1 | · |
By Poisson linear regression analysis.
CPI of Mandibular by Region and Coffee Component.
| Characteristics | Mandibular Right Posterior | Mandibular Incisor | Mandibular Left Posterior | ||||||
|---|---|---|---|---|---|---|---|---|---|
|
| OR | 95% CI |
| OR | 95% CI |
| OR | 95% CI | |
| Co+Cr+Sy | 0.000 | 1.163 | 1.078–1.253 | 0.018 | 1.065 | 1.011–1.122 | 0.000 | 1.164 | 1.085–1.250 |
| Co+Sy | 0.000 | 1.361 | 1.155–1.604 | 0.098 | 1.110 | 0.981–1.256 | 0.000 | 1.449 | 1.246–1.684 |
| Co+Cr | 0.320 | −0.758 | 0.439–1.309 | 0.112 | −0.735 | 0.503–1.075 | 0.035 | −0.512 | 0.275–0.955 |
| Co | · | 1 | · | · | 1 | · | · | 1 | · |
By Poisson linear regression analysis.
Effects of the Subjects’ Demographic Characteristics and the Coffee Components on the Prevalence of Periodontal Disease.
| Characteristics | Model I | Model II | Model III | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| OR | 95% CI |
| OR | 95% CI |
| OR | 95% CI | ||
| Gender | Male | 0.000 | 1.877 | 1.674–2.105 | 0.000 | 1.920 | 1.605–2.296 | |||
| Female | · | 1 | · | · | 1 | · | ||||
| Marital Status | Married | 0.850 | 1.014 | 0.876–1.174 | 0.897 | −0.984 | 0.770–1.258 | |||
| Single | · | 1 | · | · | 1 | · | ||||
| Education | <Elementary | 0.093 | -0.849 | 0.702–1.028 | 0.108 | −0.794 | 0.599–1.052 | |||
| Middle school | 0.600 | 1.053 | 0.867–1.279 | 0.530 | −0.909 | 0.673–1.226 | ||||
| High school | 0.003 | 1.252 | 1.078–1.454 | 0.164 | 1.180 | 0.935–1.488 | ||||
| >College | · | 1 | · | · | 1 | · | ||||
| Household Income | Low | 0.000 | 1.682 | 1.368–2.067 | 0.002 | 1.583 | 1.179–2.125 | |||
| Middle-low | 0.000 | 1.509 | 1.244–1.831 | 0.155 | 1.243 | 0.921–1.679 | ||||
| Middle | 0.028 | 1.260 | 1.026–1.547 | 0.230 | 1.213 | 0.885–1.663 | ||||
| Middle-high | 0.026 | 1.227 | 1.025–1.469 | 0.070 | 1.279 | 0.980–1.669 | ||||
| High | · | 1 | · | · | 1 | · | ||||
| Economic Activity | Active | 0.651 | 1.029 | 0.909–1.164 | 0.484 | 1.070 | 0.885–1.294 | |||
| None | · | 1 | · | · | 1 | · | ||||
| Age | 0.000 | 1.065 | 1.061–1.069 | 0.000 | 1.067 | 1.061–1.074 | ||||
| Co+Cr+Sy | 0.263 | 1.093 | 0.450–0.864 | 0.114 | 1.162 | 0.965–1.400 | ||||
| Co+Sy | 0.005 | 1.604 | 1.157–2.223 | 0.028 | 1.606 | 1.052–2.452 | ||||
| Co+Cr | 0.943 | 1.027 | 0.489–2.160 | 0.654 | −0.830 | 0.368–1.875 | ||||
| Co | · | 1 | · | · | 1 | · | ||||
By multivariable logistic regression analysis using complex sampling design; Co (coffee), Cr (cream), and Sy (syrup). Model I: Nagelkerke R square = 0.171, df1 = 11, df2 = 527, Wald F = 105.625, p < 0.001; Model II: Nagelkerke R square = 0.002, df1 = 3, df2 = 534, Wald F = 2.715, p < 0.05; Model III: Nagelkerke R square = 0.180, df1 = 14, df2 = 520, Wald F = 41.851, p < 0.001