Skip to main content
Erschienen in: BMC Public Health 1/2024

Open Access 01.12.2024 | Research

Association between tea types and number of teeth: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey

verfasst von: Zheqi Huang, Kahori Kawamura, Hideki Yoshimatsu, Tatsuro Miyake

Erschienen in: BMC Public Health | Ausgabe 1/2024

Abstract

Background

Previous studies have suggested that tea consumption may have a positive impact on oral health. However, the effects of different tea types on oral health remain unclear. Therefore, this study aimed to determine the association between residual teeth and consumption habits of different types of tea (green tea, black tea, oolong tea, and scented tea) in older adults.

Methods

We conducted a secondary analysis using data from the Chinese Longitudinal Healthy Longevity Survey in 2018. In a sample of 6,387 older adults, we performed logistic regression analysis to examine the relationship between persistent tea consumption and oral health according to sex and brushing frequency. The indices for particularly healthy oral health and relative health were set at more than 20 teeth and more than 10 teeth, respectively.

Results

The study included 2,725 males and 3,662 females, both aged 65 and older. Among individuals with more than 20 teeth, drinking green tea significantly improved oral health in men (adjusted odds ratio [ORs]: 1.377; 95% confidence interval [CI]: 1.082–1.752) and drinking black tea significantly improved the oral health of women (ORs: 2.349, 95%CI: 1.028–5.366). In the daily brushing group, green tea had a significant beneficial effect on increasing the number of teeth in men and black tea had a significant beneficial effect in women. Among individuals with more than 10 teeth, drinking green tea significantly improved oral health in men (ORs: 1.539; 95% CI: 1.209–1.959) and drinking green tea and scented tea significantly improved the oral health of women (ORs: 1.447, 95%CI: 1.052–1.991; ORs: 1.948, 95%CI: 1.137–3.340). In the daily brushing group, consumption of green tea and black tea had significant beneficial effects on increasing the number of teeth in men, whereas that of green tea, black tea, and scented tea had significant beneficial effects in women.

Conclusion

Long-term green tea consumption in males and black tea consumption in females were significantly associated with maintaining functional dentition (≥20 teeth). Similarly, long-term green tea consumption in males and green tea and scented tea consumption in females were associated with avoiding severe tooth loss (≥10 teeth). Furthermore, in the daily tooth brushing group, long-term consumption of black tea was associated with avoiding severe tooth loss in both sexes. However, tea consumption alone had no effect on oral health without good brushing habits.
Hinweise

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
CI
Confidence interval
CLHLS
Chinese Longitudinal Healthy Longevity Survey
ORs
Odds ratio
SD
Standard deviation
ADL
Activities of daily living
BMI
Body mass index

Background

According to the World Health Organization, tooth loss is the most common oral disease, affecting an estimated 1 billion people worldwide [1]. Tooth loss and its underlying mechanisms are widely associated with systemic diseases and nutritional status [2, 3], which have considerable effects on the overall health of older adults, resulting in enormous social and economic burdens [4]. The World Health Organization has proposed a goal of maintaining ≥20 teeth in adults aged 80 years, as a measure of good dental health [5]. Moreover, having <10 teeth is indicative of severe tooth loss, which seriously affects oral function [6].
Tea is among the most popular beverages worldwide and in China [7]. The three main types of tea are black tea (fully fermented), oolong tea (semi-fermented), and green tea (non-fermented). Another popular tea type is scented tea [8]. The consumption of green tea is correlated with oral health [9]. Specifically, catechins in green tea have been reported to have a bactericidal effect on Streptococcus mutans, Candida albicans, and Porphyromonas gingivalis, thereby improving oral microflora and periodontal conditions [1013]. Similarly, theaflavins in black tea have antifungal effects against C. albicans [14]. Additionally, the components in oolong tea have been shown to exert antifungal effects against C. albicans [15]. Regarding scented tea, its extract has reportedly shown strong antibacterial effects against bacteria (S. mutans and P. gingivalis) in the oral cavity [16, 17].
Brushing teeth is important for oral health [18], and drinking tea can cause tooth discoloration, which may be eliminated by brushing or rinsing the mouth [19]. However, there are few studies on the oral health of people who are less aware of oral health and prefer drinking tea. There are significant sex-related differences in the association between tea consumption and cardiovascular disease [20, 21]. Accordingly, this study aimed to investigate the impact of different tea types on oral health according to sex and differences in tooth brushing frequency [9, 22]. We hypothesized that long-term tea consumption of various types would affect dental count in older adults differentiated by sex.

Methods

Study population

The data used for this study were obtained from the seventh wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) dataset in 2018. The CLHLS conducted face-to-face interviews with centenarians (people aged 100 or above) randomly chosen across 23 Chinese provinces. For each centenarian, two local residents (same village, street, town, or city district) were also interviewed [23]. Predefined age and sex were randomly determined based on the assigned code numbers for matched comparisons of both sexes in each age group [7]. Interviews and basic physical assessments were conducted at participants' homes. Specifically, the survey covered diverse aspects of their lives, including demographics, family structure, diet, chronic diseases, healthcare, smoking and alcohol consumption, early nutrition, and health-related conditions. Refusal rates among the Chinese elderly were minimal due to their enjoyment of interaction and pride in their longevity [23]. For disabled individuals, proxy respondents (typically spouses or other close family members) were interviewed [23]. The survey included 15,874 older adults in 23 out of 31 Chinese provinces; among them, 67.4% were aged ≥80 years. The CLHLS study was approved by the Institutional Review Board of Duke University (Pro00062871) and the Biomedical Ethics Committee of Peking University (IRB00001052–13,074). The study protocol was approved by the Ethics Committee of Osaka Dental University (approval number: 111229; August 23, 2022), which waived the requirement for additional informed consent. Figure 1 presents the flowchart for patient selection. After excluding ineligible participants, 6,387 participants were included in the final analysis. Generally, we excluded outliers and missing values for the tooth number variable, the tea variable, and other covariates.

Assessment of tooth loss

To collect information regarding tooth count, the survey asked respondents, “how many natural teeth does the respondent have (excluding false teeth)?” and “Do you have false teeth?” False teeth included both fixed and removable dentures in this study [24]. Based on previous reports, we categorized the number of teeth into two groups: more than 20 or less and more than 10 or less [5, 6].

Exposure assessments

The items regarding the tea type were as follows: “What type of tea do you mainly drink at present?” and “What type of tea did you mainly drink around age 60?”. The responses regarding the frequency of tea drinking included the following: almost every day, not every day but at least once per week, not every week but at least once per month, not every month but occasionally, rarely or never. We selected people aged 60 years who were drinking the same type of tea almost every day. This was because the study focused on people aged >65 years who had consumed the same tea type for at least 5 years. The tea types included green tea, black tea, oolong tea, white tea, yellow tea, dark tea, compressed tea, scented tea, and others. Based on the sample size of the tea drinking population, we selected green tea, oolong tea, black tea, and scented tea.

Covariates measurement

Age was divided into five groups: 65–69, 70–74, 75–79, 80–84, and ≥85 years. The participant characteristics included sex (male/female), ethnicity (Han/minority), residence (city/rural), and geographical region (northern China/eastern China/central China/south-western China). Educational level was divided into three categories according to years of education: 0, 1–6, and >6 years. Health level was classified as good, average, and poor. Household income was divided into five 20-percentile groups. Smoking habits were divided into three groups according to the number of years smoking as follows: never smoked, 0–14 years, and ≥15 years. Drinking habits were classified as never, current drinker, and former drinker. Marital status was assessed by providing a yes/no response to the following options: divorced, widowed, married but not living with a spouse, and never married. Brushing frequency was determined based on the daily frequency: less than once and once or more. Further, the presence of hypertension, diabetes, and cardiovascular disease was assessed based on a yes/no response. Body mass index (BMI) was classified based on the World Health Organization classification as follows: <18.5 kg/m2, 18.5–24.9 kg/m2, and ≥25 kg/m2 [25]. The frequency of sugar consumption was assessed based on the following responses: almost every day, at least once per week or month, rarely or occasionally. Activity of daily living (ADL) grades were also classified as disabled and non-disabled based on a previous study [26].

Statistical analysis

Baseline characteristics are described according to the type of tea used. Continuous data are presented as mean ± standard deviation (SD) and categorical data as frequency with percentage. To determine the association between the type of tea and number of teeth, we set the target variable as two models with more than 20 teeth and 10 teeth or less. To calculate adjusted odds ratios (ORs) and 95% confidence intervals (CI), we performed multivariate analysis according to sex and brushing frequency with the following covariates: age, ethnicity, residence, geographical region, educational level, health, household income, smoking habit, drinking habit, marital status, hypertension, diabetes, BMI, cardiovascular disease, sugar frequency, and activities of daily living (ADL) capacity. Statistical significance was set at p<0.05, and all statistical analyses were performed using Stata version 17.0 (Stata Corp, College Station, TX, USA).

Results

Table 1 summarizes the baseline characteristics by sex of the remaining 6,387 participants after excluding missing values and outliers among the 15,874 participants. A total of 2,725 men and 3,662 women accounted for 42.7% and 57.3% of the participants, respectively. Moreover, for man, 73.9% did not drink tea; among them, the mean number of remaining teeth was 10.7 ± 10.7. Additionally, 17.8%, 2.4%, 1.1%, and 4.8% of the total men consumed green, black, oolong, and scented tea, respectively, while the corresponding average number of remaining teeth was 14.7 ± 10.6, 16.0 ± 11.5, 12.7 ± 11.1, and 12.9 ± 11.1, respectively. For woman, 90.2% did not drink tea; among them, the mean number of remaining teeth was 8.9 ± 10.3. Additionally, 6.2%, 0.8%, 0.5%, and 2.3% of the total women consumed green, black, oolong, and scented tea, respectively, while the corresponding average number of remaining teeth was 13.0 ± 10.3, 16.1 ± 11.1, 10.6 ± 12.7, and 13.3 ± 10.6, respectively. In the male group, we found that in comparison to those who did not drink tea, those who had a higher ratio of tea consumption were younger older adults (65–69 years old), married, and resided in the city and had an education level >6 years, good health, a household income in the 5th quintile, a smoking habit of ≥15 years, a current drinking habit, a brushing frequency of once or more per day, a sugar frequency of almost every day, and no disability. In the female group, young and old people (65–69 years old), those with an education level >6 years, good health, a household income in the 5th quintile, who were married, and had a brushing frequency of once or more per day exhibited a higher ratio of tea consumption.
Table 1
Characteristics of the study participants by sex (%)
Variable
 
Male
Female
Subgroups
No tea
Green tea
Black tea
Oolong tea
Scented tea
Total sample
No tea
Green tea
Black tea
Oolong tea
Scented tea
Total sample
Total sample, n (Average remaining teeth)
2,013
484
65
31
132
2,725
3,304
228
30
17
83
3,662
 
%
73.9
17.8
2.4
1.1
4.8
100
90.2
6.2
0.8
0.5
2.3
100
Teeth
Number
10.7±10.7
14.7±10.6
16.0±11.5
12.7±11.1
12.9±11.1
11.7±10.8
8.9±10.3
13.0±10.3
16.1±11.1
10.6±12.7
13.3±10.6
9.3±10.4
Age
Years
83.0±10.7
79.9±10.3
76.7±9.4
78.4±10.2
78.7±9.2
82.0±10.7
85.4±12.1
82.1±11.6
79.1±11.1
82.4±14.5
81.1±11.9
85.1±12.1
Age group
Years
            
65–69
325 (16.1)
100 (20.7)
20 (30.8)
8 (25.8)
30 (22.7)
483 (17.7)
457 (13.8)
49 (21.5)
11 (36.7)
5 (29.4)
21 (25.3)
543 (14.8)
70–74
263 (13.1)
100 (20.7)
16 (24.6)
6 (19.4)
25 (18.9)
410 (15.0)
397 (12.0)
26 (11.4)
1 (3.3)
2 (11.8)
14 (16.9)
440 (12.0)
75–79
275 (13.7)
83 (17.1)
12 (18.5)
7 (22.6)
29 (22.0)
406 (14.9)
413 (12.5)
37 (16.2)
6 (20.0)
2 (11.8)
11 (13.3)
469 (12.8)
80–84
318 (15.8)
63 (13.0)
5 (7.7)
2 (6.5)
13 (9.8)
401 (14.7)
412 (12.5)
36 (15.8)
5 (16.7)
3 (17.6)
7 (8.4)
463 (12.6)
≥ 85
832 (41.3)
138 (28.5)
12 (18.5)
8 (25.8)
35 (26.5)
1,025 (37.6)
1,625 (49.2)
80 (35.1)
7 (23.3)
5 (29.4)
30 (36.1)
1,747 (47.7)
Ethnicity
Han
1,811 (90.0)
465 (96.1)
62 (95.4)
31 (100.0)
129 (97.7)
2,498 (91.7)
3,002 (90.9)
221 (96.9)
29 (96.7)
17 (100.0)
81 (97.6)
3,350 (91.5)
Minority
202 (10.0)
19 (3.9)
3 (4.6)
0 (0.00)
3 (2.3)
227 (8.3)
302 (9.1)
7 (3.1)
1 (3.3)
0 (0.00)
2 (2.4)
312 (8.5)
Residence
City
1,121 (55.7)
325 (67.1)
41 (63.1)
19 (61.3)
87 (65.9)
1,593 (58.5)
1,749 (52.9)
144 (63.2)
15 (50.0)
12 (70.6)
60 (72.3)
1,980 (54.1)
Rural
892 (44.3)
159 (32.9)
24 (36.9)
12 (38.7)
45 (34.1)
1,132 (41.5)
1,555 (47.1)
84 (36.8)
15 (50.0)
5 (29.4)
23 (27.7)
1,682 (45.9)
Geographical region
Northern China
415 (20.6)
103 (21.3)
22 (33.8)
5 (16.1)
71 (53.8)
616 (22.6)
745 (22.5)
36 (15.8)
16 (53.3)
2 (11.8)
52 (62.7)
851 (23.2)
Eastern China
533 (26.5)
175 (36.2)
19 (29.2)
11 (35.5)
7 (5.3)
745 (27.3)
860 (26.0)
87 (38.2)
4 (13.3)
10 (58.8)
5 (6.0)
966 (26.4)
Central China
481 (23.9)
110 (22.7)
10 (15.4)
4 (12.9)
5 (3.8)
610 (22.4)
803 (24.3)
81 (35.5)
3 (10.0)
1 (5.9)
7 (8.4)
895 (24.4)
South-western China
584 (29.0)
96 (19.8)
14 (21.5)
11 (35.5)
49 (37.1)
754 (27.7)
896 (27.1)
24 (10.5)
7 (23.3)
4 (23.5)
19 (22.9)
950 (25.9)
Education level, years
0
538 (26.7)
56 (11.6)
9 (13.8)
2 (6.5)
21 (15.9)
626 (23.0)
2,153 (65.2)
90 (39.5)
9 (30.0)
12 (70.6)
31 (37.3)
2,295 (62.7)
1–6
906 (45.0)
196 (40.5)
21 (32.3)
14 (45.2)
50 (37.9)
1,187 (43.6)
766 (23.2)
70 (30.7)
13 (43.3)
2 (11.8)
32 (38.6)
883 (24.1)
>6
569 (28.3)
232 (47.9)
35 (53.8)
15 (48.4)
61 (46.2)
912 (33.5)
385 (11.7)
68 (29.8)
8 (26.7)
3 (17.6)
20 (24.1)
484 (13.2)
Health
Good
998 (49.6)
263 (54.3)
40 (61.5)
21 (67.7)
68 (51.5)
1,390 (51.0)
1,512 (45.8)
114 (50.0)
19 (63.3)
9 (52.9)
46 (55.4)
1,700 (46.4)
Average
766 (38.1)
158 (32.6)
14 (21.5)
7 (22.6)
55 (41.7)
1,000 (36.7)
1,303 (39.4)
79 (34.6)
7 (23.3)
4 (23.5)
31 (37.3)
1,424 (38.9)
Poor
249 (12.4)
63 (13.0)
11 (16.9)
3 (9.7)
9 (6.8)
335 (12.3)
489 (14.8)
35 (15.4)
4 (13.3)
4 (23.5)
6 (7.2)
538 (14.7)
Household income
1 (poor)
446 (22.2)
61 (12.6)
17 (26.2)
8 (25.8)
15 (11.4)
547 (20.1)
828 (25.1)
27 (11.8)
6 (20.0)
5 (29.4)
6 (7.2)
872 (23.8)
2
453 (22.5)
75 (15.5)
6 (9.2)
7 (22.6)
22 (16.7)
563 (20.7)
756 (22.9)
36 (15.8)
8 (26.7)
1 (5.9)
17 (20.5)
818 (22.3)
3
483 (24.0)
97 (20.0)
14 (21.5)
5 (16.1)
30 (22.7)
629 (23.1)
796 (24.1)
44 (19.3)
7 (23.3)
2 (11.8)
21 (25.3)
870 (23.8)
4
263 (13.1)
98 (20.2)
11 (16.9)
3 (9.7)
30 (22.7)
405 (14.9)
382 (11.6)
42 (18.4)
4 (13.3)
1 (5.9)
23 (27.7)
452 (12.3)
5 (wealthy)
368 (18.3)
153 (31.6)
17 (26.2)
8 (25.8)
35 (26.5)
581 (21.3)
542 (16.4)
79 (34.6)
5 (16.7)
8 (47.1)
16 (19.3)
650 (17.7)
Smoking habit
Never
1,020 (50.7)
145 (30.0)
16 (24.6)
8 (25.8)
46 (34.8)
1,235 (45.3)
3,090 (93.5)
212 (93.0)
28 (93.3)
14 (82.4)
71 (85.5)
3,415 (93.3)
0–14 years
550 (27.3)
165 (34.1)
22 (33.8)
13 (41.9)
49 (37.1)
799 (29.3)
171 (5.2)
13 (5.7)
0 (0.0)
1 (5.9)
10 (12.0)
195 (5.3)
≥15 years
443 (22.0)
174 (36.0)
27 (41.5)
10 (32.3)
37 (28.0)
691 (25.4)
43 (1.3)
3 (1.3)
2 (6.7)
2 (11.8)
2 (2.4)
52 (1.4)
Drinking habit
Never
1,177 (58.5)
232 (47.9)
29 (44.6)
17 (54.8)
58 (43.9)
1,513 (55.5)
2,973 (90.0)
189 (82.9)
25 (83.3)
15 (88.2)
72 (86.7)
3,274 (89.4)
Current drinker
462 (23.0)
165 (34.1)
23 (35.4)
8 (25.8)
47 (35.6)
705 (25.9)
183 (5.5)
23 (10.1)
4 (13.3)
0 (0.0)
4 (4.8)
214 (5.8)
Former drinker
374 (18.6)
87 (18.0)
13 (20.0)
6 (19.4)
27 (20.5)
507 (18.6)
148 (4.5)
16 (7.0)
1 (3.3)
2 (11.8)
7 (8.4)
174 (4.8)
Marital status
Married
1,209 (60.1)
343 (70.9)
50 (76.9)
22 (71.0)
94 (71.2)
1,718 (63.0)
1,041 (31.5)
96 (42.1)
13 (43.3)
9 (52.9)
32 (38.6)
1,191 (32.5)
Unmarried
804 (39.9)
141 (29.1)
15 (23.1)
9 (29.0)
38 (28.8)
1,007 (37.0)
2,263 (68.5)
132 (57.9)
17 (56.7)
8 (47.1)
51 (61.4)
2,471 (67.5)
Brush frequency
Less than once
655 (32.5)
82 (16.9)
13 (20.0)
0 (0.0)
27 (20.5)
777 (28.5)
1,061 (32.1)
32 (14.0)
5 (16.7)
2 (11.8)
14 (16.9)
1,114 (30.4)
Once or more
1,358 (67.5)
402 (83.1)
52 (80.0)
31 (100.0)
105 (79.5)
1,948 (71.5)
2,243 (67.9)
196 (86.0)
25 (83.3)
15 (88.2)
69 (83.1)
2,548 (69.6)
Hypertension
Yes
763 (37.9)
242 (50.0)
31 (47.7)
16 (51.6)
61 (46.2)
1,113 (40.8)
1,445 (43.7)
109 (47.8)
18 (60.0)
6 (35.3)
48 (57.8)
1,626 (44.4)
No
1,250 (62.1)
242 (50.0)
34 (52.3)
15 (48.4)
71 (53.8)
1,612 (59.2)
1,859 (56.3)
119 (52.2)
12 (40.0)
11 (64.7)
35 (42.2)
2,036 (55.6)
Diabetes
Yes
170 (8.4)
67 (13.8)
11 (16.9)
3 (9.7)
18 (13.6)
269 (9.9)
319 (9.7)
33 (14.5)
5 (16.7)
1 (5.9)
15 (18.1)
373 (10.2)
No
1,843 (91.6)
417 (86.2)
54 (83.1)
28 (90.3)
114 (86.4)
2,456 (90.1)
2,985 (90.3)
195 (85.5)
25 (83.3)
16 (94.1)
68 (81.9)
3,289 (89.8)
BMI
<18.5
263 (13.1)
56 (11.6)
5 (7.7)
4 (12.9)
9 (6.8)
337 (12.4)
615 (18.6)
33 (14.5)
2 (6.7)
4 (23.5)
8 (9.6)
662 (18.1)
18.5–24.9
1,285 (63.8)
287 (59.3)
38 (58.5)
21 (67.7)
68 (51.5)
1,699 (62.3)
1,916 (58.0)
138 (60.5)
17 (56.7)
7 (41.2)
43 (51.8)
2,121 (57.9)
≥25
465 (23.1)
141 (29.1)
22 (33.8)
6 (19.4)
55 (41.7)
689 (25.3)
773 (23.4)
57 (25.0)
11 (36.7)
6 (35.3)
32 (38.6)
879 (24.0)
Cardiovascular
Yes
483 (24.0)
126 (26.0)
15 (23.1)
5 (16.1)
41 (31.1)
670 (24.6)
796 (24.1)
65 (28.5)
8 (26.7)
2 (11.8)
27 (32.5)
898 (24.5)
No
1,530 (76.0)
358 (74.0)
50 (76.9)
26 (83.9)
91 (68.9)
2,055 (75.4)
2,508 (75.9)
163 (71.5)
22 (73.3)
15 (88.2)
56 (67.5)
2,764 (75.5)
Sugar frequency
Almost every day
219 (10.9)
64 (13.2)
11 (16.9)
5 (16.1)
24 (18.2)
323 (11.9)
387 (11.7)
22 (9.6)
3 (10.0)
5 (29.4)
15 (18.1)
432 (11.8)
At least per week or month
635 (31.5)
149 (30.8)
17 (26.2)
10 (32.3)
44 (33.3)
855 (31.4)
952 (28.8)
72 (31.6)
13 (43.3)
4 (23.5)
28 (33.7)
1,069 (29.2)
Rarely or occasionally
1,159 (57.6)
271 (56.0)
37 (56.9)
16 (51.6)
64 (48.5)
1,547 (56.8)
1,965 (59.5)
134 (58.8)
14 (46.7)
8 (47.1)
40 (48.2)
2,161 (59.0)
ADL capacity
Non-disabled
1,658 (82.4)
445 (91.9)
60 (92.3)
28 (90.3)
114 (86.4)
2,305 (84.6)
2,533 (76.7)
196 (86.0)
24 (80.0)
15 (88.2)
62 (74.7)
2,830 (77.3)
Disabled
355 (17.6)
39 (8.1)
5 (7.7)
3 (9.7)
18 (13.6)
420 (15.4)
771 (23.3)
32 (14.0)
6 (20.0)
2 (11.8)
21 (25.3)
832 (22.7)
Age and teeth are expressed as mean ± SD. Categorical variables are indicated by the number of people (%)
As shown in Table 2, age, living in eastern China, income, smoking status, drinking status, tooth brushing frequency, ADL status, and daily consumption of green tea (ORs: 1.377, 95%CI: 1.082–1.752) were associated with men having more than 20 teeth. Age, living in central China, education status, health status, brushing frequency, BMI, sugar intake, ADL status, and daily consumption of black tea (ORs: 2.349, 95%CI: 1.028–5.366) were associated with women having more than 20 teeth.
Table 2
Adjusted odds ratio and 95% confidence interval of the variables associated with having ≥20 teeth
 
Male (n=2,725)
Female (n=3,662)
Teeth categorization, n (%)
 ≥20 teeth
880 (32.3)
882 (24.1)
 <20 teeth
1,845 (67.7)
2,780 (75.9)
Variable
Adjusted odds ratios
P value
Adjusted odds ratios
P value
Age group
 65-69
    
 70-74
0.579 (0.437-0.765)
<0.001
0.557 (0.425-0.731)
<0.001
 75-79
0.389 (0.291-0.521)
<0.001
0.322 (0.242-0.427)
<0.001
 80-84
0.284 (0.207-0.388)
<0.001
0.244 (0.176-0.336)
<0.001
 ≥85
0.118 (0.086-0.162)
<0.001
0.114 (0.083-0.157)
<0.001
Ethnicity
 Han
    
 Minority
1.336 (0.956-1.866)
0.090
0.842 (0.600-1.182)
0.320
Residence
 City
    
 Rural
0.835 (0.684-1.019)
0.076
0.867 (0.717-1.050)
0.144
Geographical region
 Northern China
    
 Eastern China
0.712 (0.541-0.937)
0.015
0.885 (0.675-1.161)
0.378
 Central China
1.191 (0.900-1.575)
0.221
1.431 (1.090-1.870)
0.009
 South-western China
0.862 (0.656-1.131)
0.284
0.889 (0.678-1.166)
0.396
Education level, years
 0
    
 1-6
1.032 (0.791-1.346)
0.816
1.205 (0.970-1.498)
0.093
 >6
1.261 (0.945-1.683)
0.114
1.922 (1.461-2.530)
<0.001
Health
 Good
    
 Average
0.987 (0.803-1.213)
0.901
0.810 (0.664-0.987)
0.037
 Poor
0.947 (0.691-1.298)
0.734
0.836 (0.630-1.110)
0.216
Household income
 1(poor)
    
 2
1.181 (0.875-1.592)
0.277
0.920 (0.700-1.210)
0.553
 3
1.235 (0.921-1.656)
0.158
1.013 (0.774-1.326)
0.927
 4
1.488 (1.066-2.079)
0.020
1.067 (0.772-1.476)
0.694
 5(wealthy)
1.455 (1.057-2.003)
0.021
1.292 (0.956-1.747)
0.095
Smoking habit
 Never
    
 0–14 years
0.734 (0.582-0.926)
0.009
1.004 (0.648-1.557)
0.984
 ≥15 years
0.605 (0.474-0.771)
<0.001
0.695 (0.314-1.539)
0.369
Drinking habit
 Never
    
 Current drinker
1.376 (1.097-1.726)
0.006
0.827 (0.547-1.250)
0.368
 Former drinker
1.108 (0.856-1.435)
0.436
1.495 (0.967-2.312)
0.070
Marital status
 Married
    
 Unmarried
0.819 (0.653-1.027)
0.084
0.827 (0.673-1.017)
0.072
Brush frequency
 Less than once
    
 Once or more
1.770 (1.389-2.257)
<0.001
1.758 (1.370-2.256)
<0.001
Hypertension
 Yes
    
 No
0.856 (0.704-1.040)
0.117
0.960 (0.794-1.160)
0.670
Diabetes
 Yes
    
 No
0.832 (0.614-1.128)
0.236
0.995 (0.757-1.308)
0.970
BMI
 <18.5
    
 18.5–24.9
1.045 (0.755-1.445)
0.791
1.477 (1.084-2.013)
0.014
 ≥25
1.147 (0.801-1.642)
0.456
2.106 (1.503-2.950)
<0.001
Cardiovascular
 Yes
    
 No
1.247 (0.995-1.563)
0.056
1.102 (0.890-1.364)
0.373
Sugar frequency
 Almost every day
    
 At least per week or month
0.879 (0.634-1.217)
0.437
1.219 (0.848-1.753)
0.285
 Rarely or occasionally
1.099 (0.810-1.491)
0.543
2.046 (1.456-2.875)
<0.001
ADL capacity
 Non-disabled
    
 Disabled
0.499 (0.350-0.710)
<0.001
0.593 (0.433-0.811)
0.001
Tea
 No tea
    
 Green tea
1.377 (1.082-1.752)
0.009
1.090 (0.779-1.524)
0.615
 Black tea
1.286 (0.733-2.255)
0.381
2.349 (1.028-5.366)
0.043
 Oolong tea
1.124 (0.500-2.527)
0.777
1.281 (0.386-4.248)
0.685
 Scented tea
1.045 (0.687-1.687)
0.837
1.068 (0.611-1.866)
0.818
As shown in Table 3, age, living in rural areas, educational status, smoking status, tooth brushing frequency, ADL status, diabetes status, and daily consumption of green tea (ORs: 1.539, 95%CI: 1.209–1.959) were associated with men having more than 10 teeth. Age, living in central China, educational status, tooth brushing frequency, BMI, sugar intake frequency, ADL status, drinking green tea, and scented tea daily (ORs: 1.447, 95%CI: 1.052–1.991; ORs: 1.948, 95%CI: 1.137–3.340) were associated with women having more than 10 teeth.
Table 3
Adjusted odds ratio and 95% confidence interval of the variables associated with having ≥10 teeth
 
Male (n=2,725)
Female (n=3,662)
Teeth categorization, n (%)
 ≥10 teeth
1,357 (49.8)
1,434 (39.2)
 <10 teeth
1,368 (50.2)
2,228 (60.8)
Variable
Adjusted odds ratios
P value
Adjusted odds ratios
P value
Age group
 65-69
    
 70-74
0.570 (0.416-0.783)
0.001
0.586 (0.437-0.784)
<0.001
 75-79
0.355 (0.260-0.486)
<0.001
0.353 (0.265-0.470)
<0.001
 80-84
0.277 (0.200-0.382)
<0.001
0.297 (0.219-0.404)
<0.001
 ≥85
0.111 (0.081-0.152)
<0.001
0.127 (0.095-0.171)
<0.001
Ethnicity
 Han
    
 Minority
1.214 (0.882-1.670)
0.235
0.790 (0.590-1.057)
0.113
Residence
 City
    
 Rural
0.823 (0.683-0.991)
0.040
0.901 (0.764-1.063)
0.217
Geographical region
 Northern China
    
 Eastern China
0.824 (0.636-1.067)
0.142
1.072 (0.843-1.363)
0.571
 Central China
1.061 (0.812-1.386)
0.666
1.590 (1.252-2.020)
<0.001
 South-western China
0.933 (0.719-1.210)
0.601
1.045 (0.823-1.327)
0.718
Education level, years
 0
    
 1-6
0.990 (0.787-1.245)
0.931
1.348 (1.111-1.637)
0.003
 >6
1.311 (1.011-1.701)
0.041
2.015 (1.552-2.616)
<0.001
Health
 Good
    
 Average
1.132 (0.932-1.374)
0.212
0.954 (0.801-1.135)
0.593
 Poor
1.010 (0.753-1.356)
0.945
1.027 (0.802-1.315)
0.834
Household income
 1(poor)
    
 2
1.262 (0.961-1.656)
0.094
1.119 (0.886-1.413)
0.345
 3
1.070 (0.818-1.400)
0.621
1.107 (0.878-1.396)
0.391
 4
1.323 (0.969-1.808)
0.078
1.233 (0.926-1.641)
0.152
 5(wealthy)
1.291 (0.961-1.735)
0.090
1.295 (0.993-1.689)
0.056
Smoking habit
 Never
    
 0–14 years
0.756 (0.608-0.940)
0.012
0.842 (0.586-1.209)
0.351
 ≥15 years
0.583 (0.460-0.737)
<0.001
0.691 (0.357-1.337)
0.272
Drinking habit
 Never
    
 Current drinker
1.133 (0.910-1.410)
0.263
0.899 (0.638-1.267)
0.544
 Former drinker
1.075 (0.843-1.369)
0.560
1.395 (0.960-2.027)
0.080
Marital status
 Married
    
 Unmarried
0.864 (0.707-1.055)
0.152
0.857 (0.707-1.036)
0.110
Brush frequency
 Less than once
    
 Once or more
1.561 (1.266-1.924)
<0.001
1.641 (1.353-1.991)
<0.001
Hypertension
 Yes
    
 No
0.860 (0.715-1.036)
0.112
0.925 (0.783-1.092)
0.356
Diabetes
 Yes
    
 No
0.680 (0.497-0.932)
0.017
1.090 (0.840-1.416)
0.515
BMI
 <18.5
    
 18.5–24.9
0.974 (0.740-1.283)
0.854
1.523 (1.202-1.930)
<0.001
 ≥25
1.092 (0.794-1.502)
0.589
1.669 (1.269-2.195)
<0.001
Cardiovascular
 Yes
    
 No
1.175 (0.947-1.458)
0.142
1.022 (0.845-1.237)
0.820
Sugar frequency
 Almost every day
    
 At least per week or month
0.950 (0.706-1.278)
0.736
1.297 (0.971-1.732)
0.079
 Rarely or occasionally
1.026 (0.775-1.357)
0.859
1.631 (1.243-2.140)
<0.001
ADL capacity
 Non-disabled
    
 Disabled
0.527 (0.399-0.696)
<0.001
0.699 (0.556-0.879)
0.002
Tea
 No tea
    
 Green tea
1.539 (1.209-1.959)
0.001
1.447 (1.052-1.991)
0.023
 Black tea
1.447 (0.797-2.624)
0.225
2.292 (0.970-5.415)
0.059
 Oolong tea
0.701 (0.318-1.546)
0.378
0.762 (0.244-2.381)
0.641
 Scented tea
0.854 (0.565-1.291)
0.454
1.948 (1.137-3.340)
0.015
In the model of the remaining 20 teeth (Table 4), we found that drinking tea significantly increased the number of teeth only in the population that brushed their teeth. In the daily brushing group, green tea had a significant beneficial effect on increasing the number of teeth in men (ORs: 1.401, 95%CI: 1.077–1.821) and black tea had a significant beneficial effect in women (ORs: 2.653, 95%CI: 1.088–6.468).
Table 4
Adjusted odds ratio and 95% confidence interval of the tea types associated with having ≥20 teeth
Variable
Male (n=2,725)
Female (n=3,662)
Number of teeth (≥20)
Number of teeth (≥20)
Brush less than once
No tea
  
Green tea
1.115 (0.569–2.185)
0.864 (0.206–3.626)
Black tea
0.510 (0.128–2.119)
0.515 (0.030–8.933)
Oolong tea
NA
NA
Scented tea
0.478 (0.151–1.515)
0.989 (0.178–5.499)
Brush once or more
No tea
  
Green tea
1.401* (1.077–1.821)
1.079 (0.762–1.529)
Black tea
1.578 (0.833–2.990)
2.653* (1.088–6.468)
Oolong tea
1.155 (0.513–2.601)
1.734 (0.490–6.137)
Scented tea
1.212 (0.766–1.919)
1.034 (0.568–1.884)
Adjusted for age, ethnicity, residence, geographical region, educational level, health, household income, smoking habit, drinking habit, marital status, hypertension, diabetes, BMI, cardiovascular, sugar frequency and ADL capacity
*p<0.05
In the model of the remaining 10 teeth shown in Table 5, we found that tea consumption had a significant effect on increasing the number of teeth only in the population that brushed their teeth. In the daily brushing group, consumption of green tea and black tea had significant beneficial effects on increasing the number of teeth in men (ORs: 1.748, 95%CI: 1.329–2.299; ORs: 2.133, 95%CI: 1.031–4.416), whereas that of green tea, black tea, and scented tea had significant beneficial effects in women (ORs: 1.474, 95%CI: 1.044–2.081; ORs: 3.212, 95%CI: 1.181–8.736; ORs: 2.320, 95%CI: 1.270–4.239).
Table 5
Adjusted odds ratio and 95% confidence intervals of the tea type associated with having ≥10 teeth
Variable
Male (n=2,725)
Female (n=3,662)
Number of teeth (≥10)
Number of teeth (≥10)
Brush less than once
No tea
  
Green tea
0.705 (0.393–1.264)
0.982 (0.368–2.619)
Black tea
0.373 (0.100–1.390)
0.125 (0.008–1.877)
Oolong tea
NA
NA
Scented tea
0.389 (0.141–1.072)
0.859 (0.199–3.713)
Brush once or more
No tea
  
Green tea
1.748** (1.329–2.299)
1.474* (1.044–2.081)
Black tea
2.133* (1.031–4.416)
3.212* (1.181–8.736)
Oolong tea
0.755 (0.341–1.669)
0.996 (0.289–3.429)
Scented tea
0.978 (0.614–1.557)
2.320** (1.270–4.239)
Adjusted for age, ethnicity, residence, geographical region, educational level, health, household income, smoking habit, drinking habit, marital status, hypertension, diabetes, BMI, cardiovascular, sugar frequency and ADL capacity
*p<0.05
**p<0.01

Discussion

In this study, we found that daily tea consumption over a long period of time may be significantly related to the number of teeth remaining in older adults. Previous studies have reported that diet and drinking water were significantly associated with a reduction in the number of teeth among older adults in China [24]. We stratified the total population according to sex and toothbrushing frequency and performed multivariate logistic regression analysis using two models: threshold of 10 remaining teeth and 20 remaining teeth. Among all tea types, green tea contains the highest amount of catechins [27, 28]. Sex was significantly associated with tooth loss, which is also consistent with previous findings and may be attributed to sex-related differences in genetics and hormone production as well as sex-based cultural influences [2932]. There are sex-related differences in the incidence of many chronic diseases, which affect general health and further impact oral health [21, 33]. Green tea can improve oral health in both men and women, whereas black tea can improve oral health in women and those with the habit of brushing teeth. Moreover, scented tea only improves oral health in women with more than 10 teeth. However, our findings did not indicate that oolong tea improved oral health, which may be attributed to the small sample size. Our findings are consistent with those of previous reports, regardless of the type of tea beneficial to oral health [16, 34, 35].
Age is a major risk factor for tooth loss [36, 37], which is consistent with our findings. Additionally, we found that geographical factors may be associated with oral health, which is consistent with previous findings [38]. Moreover, men living in rural areas have a higher prevalence of severe oral tooth loss (<10 teeth), which is consistent with our findings using the same dataset analysis [23]. This may be attributed to the poor geographical accessibility of dental services for men in rural areas, and delayed treatment may contribute to this trend [3941]. Furthermore, this may be due to geographical differences in drinking water sources and fluoride levels; however, there is no clear evidence indicating that fluoride levels vary widely across regions in China [24]. We also found that marital status was associated with a reduction in tooth count even with daily brushing, which could be attributed to social networking, similar to that reported in previous Japanese studies [42]. Compared with men, women experienced an obvious effect of education status on improvement in oral health. This may be due to sex-related differences in educational status among the Chinese older adults, with the illiteracy rate being 62.7% in women and 23.0% in men. Household income had a significant relationship with maintaining good oral health but not with severe tooth loss, which may be attributed to the fact that there are too many factors for severe tooth loss and the reduced influence of income factors on oral health [43].
We observed a significant adverse effect of smoking on oral health among men, which is consistent with previous findings [4446]. Among men with a current drinking habit, there was an improvement in oral health, which is inconsistent with previous findings [44, 47]; however, two Japanese studies showed that, among men, current drinkers had a significantly lower risk of having <20 teeth [48, 49]. It is well-known that the frequency of teeth brushing is strongly correlated with oral health [50], which is consistent with our findings. Increasing the frequency of tooth brushing can significantly improve oral health. Another study based on this data found that the prevalence of chronic diseases significantly decreased with age [51]. In our study, hypertension and diabetes revealed an association between age and the risk of tooth loss. After adjusting for age and other risk factors in the logistic function, this correlation was no longer statistically significant [21].
Sugar is crucially involved in the occurrence of dental caries [52] and seldom or occasional sugar intake significantly improved oral health in this study, which is also consistent with the theory that less sugar consumption benefits oral health. The oral health of people with disabilities having ADL abilities significantly declined, which may be attributed to the inconvenience of visiting a doctor. To address this issue, we should provide them with more assistance, such as dental home visits [53].
Our study has several advantages, including a large sample size and CLHLS being a well-designed project with relatively reliable data. To the best of our knowledge, this is the first study to investigate the relationship between tea types and oral health. However, this study has some limitations. First, because this was a cross-sectional study, there are many potential residual confounding factors, which may have resulted in bias. Although we selected people who had been drinking the same tea for 5 consecutive years through questionnaire surveys, we could not infer a causal relationship between tooth loss and tea drinking habits [54]. Second, the questionnaire only collected data on the frequency of tea consumption rather than the amount of tea consumed each time. Third, the number of natural teeth in the CLHLS was self-reported, which may introduce measurement error. However, Western and Asian populations in previous studies indicated that self-reports were considered valid alternatives to clinical measures to estimate tooth counts in adult population [55, 56]. Finally, the study population comprised a very old sample, with participants generally being older than the older adult population in China. Therefore, the findings may not be applicable to other populations.
Future studies should consider combining epidemiological data with basic research (i.e., antibacterial experiments) for each type of tea to verify the effects of tea consumption on oral health. In future public health recommendations and in clinical practice, health professionals should pay careful attention to dental status and the type of tea consumed by sex-specific groups. Additionally, the importance of brushing one’s teeth and active promotion of oral health awareness should be emphasized to improve oral health outcomes.

Conclusions

Among the elderly population in China, long-term consumption of green tea by men and black tea by women may be significantly associated with maintaining functional dentition (≥20 teeth). For men, long-term consumption of green tea, and for women, long-term consumption of both green tea and scented tea, may be linked to avoiding severe tooth loss (≥10 teeth). In the daily toothbrushing group, in addition to confirming the above conclusions, long-term consumption of black tea may be associated with avoiding severe tooth loss for both men and women. However, tea consumption alone did not have an impact on oral health without good brushing habits.

Acknowledgements

The authors thank the CLHLS participants for their contribution to this project.

Declarations

The CLHLS study was approved by the Institutional Review Board of Duke University (Pro00062871) and the Biomedical Ethics Committee of Peking University (IRB00001052–13,074). The study protocol was approved by the Ethics Committee of Osaka Dental University (approval number: 111229; August 23, 2022). The Ethics Committee of Osaka Dental University waived the requirement for informed consent.
Not applicable.

Competing interests

The authors declare no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
2.
Zurück zum Zitat Renvert S, Persson RE, Persson GR. Tooth loss and periodontitis in older individuals: results from the swedish national study on aging and care. J Periodontol. 2013;84:1134–44.PubMedCrossRef Renvert S, Persson RE, Persson GR. Tooth loss and periodontitis in older individuals: results from the swedish national study on aging and care. J Periodontol. 2013;84:1134–44.PubMedCrossRef
3.
Zurück zum Zitat Zelig R, Goldstein S, Touger-Decker R, Firestone E, Golden A, Johnson Z, et al. Tooth loss and nutritional status in older adults: a systematic review and meta-analysis. JDR Clin Transl Res. 2022;7:4–15. Zelig R, Goldstein S, Touger-Decker R, Firestone E, Golden A, Johnson Z, et al. Tooth loss and nutritional status in older adults: a systematic review and meta-analysis. JDR Clin Transl Res. 2022;7:4–15.
4.
Zurück zum Zitat Botelho J, Machado V, Leira Y, Proença L, Chambrone L, Mendes JJ. Economic burden of periodontitis in the United States and Europe: an updated estimation. J Periodontol. 2022;93:373–9.PubMedCrossRef Botelho J, Machado V, Leira Y, Proença L, Chambrone L, Mendes JJ. Economic burden of periodontitis in the United States and Europe: an updated estimation. J Periodontol. 2022;93:373–9.PubMedCrossRef
5.
Zurück zum Zitat Müller F, Naharro M, Carlsson GE. What are the prevalence and incidence of tooth loss in the adult and elderly population in Europe? Clin Oral Implants Res. 2007;18(SUPPL. 3):2–14.PubMedCrossRef Müller F, Naharro M, Carlsson GE. What are the prevalence and incidence of tooth loss in the adult and elderly population in Europe? Clin Oral Implants Res. 2007;18(SUPPL. 3):2–14.PubMedCrossRef
6.
Zurück zum Zitat Laguzzi PN, Schuch HS, Medina LD, de Amores AR, Demarco FF, Lorenzo S. Tooth loss and associated factors in elders: results from a national survey in Uruguay. J Public Health Dent. 2016;76:143–51.PubMedCrossRef Laguzzi PN, Schuch HS, Medina LD, de Amores AR, Demarco FF, Lorenzo S. Tooth loss and associated factors in elders: results from a national survey in Uruguay. J Public Health Dent. 2016;76:143–51.PubMedCrossRef
7.
Zurück zum Zitat Ruan R, Feng L, Li J, Ng TP, Zeng Y. Tea consumption and mortality in the oldest-old Chinese. J Am Geriatr Soc. 2013;61:1937–42.PubMedCrossRef Ruan R, Feng L, Li J, Ng TP, Zeng Y. Tea consumption and mortality in the oldest-old Chinese. J Am Geriatr Soc. 2013;61:1937–42.PubMedCrossRef
8.
Zurück zum Zitat Ng TP, Feng L, Niti M, Kua EH, Yap KB. Tea consumption and cognitive impairment and decline in older Chinese adults. Am J Clin Nutr. 2008;88:224–31.PubMedCrossRef Ng TP, Feng L, Niti M, Kua EH, Yap KB. Tea consumption and cognitive impairment and decline in older Chinese adults. Am J Clin Nutr. 2008;88:224–31.PubMedCrossRef
9.
Zurück zum Zitat Nanri H, Yamada Y, Itoi A, Yamagata E, Watanabe Y, Yoshida T, et al. Consumption of green tea but not coffee is associated with the oral health-related quality of life among an older Japanese population: Kyoto-Kameoka cross-sectional study. Eur J Clin Nutr. 2019;73:577–84.PubMedCrossRef Nanri H, Yamada Y, Itoi A, Yamagata E, Watanabe Y, Yoshida T, et al. Consumption of green tea but not coffee is associated with the oral health-related quality of life among an older Japanese population: Kyoto-Kameoka cross-sectional study. Eur J Clin Nutr. 2019;73:577–84.PubMedCrossRef
10.
Zurück zum Zitat Hirasawa M, Takada K, Makimura M, Otake S. Improvement of periodontal status by green tea catechin using a local delivery system: a clinical pilot study. J Periodontal Res. 2002;37:433–8.PubMedCrossRef Hirasawa M, Takada K, Makimura M, Otake S. Improvement of periodontal status by green tea catechin using a local delivery system: a clinical pilot study. J Periodontal Res. 2002;37:433–8.PubMedCrossRef
11.
Zurück zum Zitat Schneider-Rayman M, Steinberg D, Sionov RV, Friedman M, Shalish M. Effect of epigallocatechin gallate on dental biofilm of Streptococcus mutans: an in vitro study. BMC Oral Health. 2021;21:1–11.CrossRef Schneider-Rayman M, Steinberg D, Sionov RV, Friedman M, Shalish M. Effect of epigallocatechin gallate on dental biofilm of Streptococcus mutans: an in vitro study. BMC Oral Health. 2021;21:1–11.CrossRef
12.
Zurück zum Zitat Farkash Y, Feldman M, Ginsburg I, Steinberg D, Shalish M. Green tea polyphenols and padma hepaten inhibit Candida albicans biofilm formation. Evid Based Complement Alternat Med. 2018;2018:1690747.PubMedPubMedCentralCrossRef Farkash Y, Feldman M, Ginsburg I, Steinberg D, Shalish M. Green tea polyphenols and padma hepaten inhibit Candida albicans biofilm formation. Evid Based Complement Alternat Med. 2018;2018:1690747.PubMedPubMedCentralCrossRef
13.
Zurück zum Zitat Araghizadeh A, Kohanteb J, Fani MM. Inhibitory activity of green tea (Camellia sinensis) extract on some clinically isolated cariogenic and periodontopathic bacteria. Med Princ Pract. 2013;22:368–72.PubMedPubMedCentralCrossRef Araghizadeh A, Kohanteb J, Fani MM. Inhibitory activity of green tea (Camellia sinensis) extract on some clinically isolated cariogenic and periodontopathic bacteria. Med Princ Pract. 2013;22:368–72.PubMedPubMedCentralCrossRef
14.
Zurück zum Zitat Sitheeque MAM, Panagoda GJ, Yau J, Amarakoon AMT, Udagama URN, Samaranayake LP. Antifungal activity of black tea polyphenols (catechins and theaflavins) against candida species. Chemotherapy. 2009;55:189–96.PubMedCrossRef Sitheeque MAM, Panagoda GJ, Yau J, Amarakoon AMT, Udagama URN, Samaranayake LP. Antifungal activity of black tea polyphenols (catechins and theaflavins) against candida species. Chemotherapy. 2009;55:189–96.PubMedCrossRef
15.
Zurück zum Zitat Chen M, Zhai L, Arendrup MC. In vitro activity of 23 tea extractions and epigallocatechin gallate against Candida species. Med Mycol. 2015;53:194–8.PubMedCrossRef Chen M, Zhai L, Arendrup MC. In vitro activity of 23 tea extractions and epigallocatechin gallate against Candida species. Med Mycol. 2015;53:194–8.PubMedCrossRef
16.
Zurück zum Zitat Tsai TH, Tsai TH, Chien YC, Lee CW, Tsai PJ. In vitro antimicrobial activities against cariogenic streptococci and their antioxidant capacities: a comparative study of green tea versus different herbs. Food Chem. 2008;110:859–64.PubMedCrossRef Tsai TH, Tsai TH, Chien YC, Lee CW, Tsai PJ. In vitro antimicrobial activities against cariogenic streptococci and their antioxidant capacities: a comparative study of green tea versus different herbs. Food Chem. 2008;110:859–64.PubMedCrossRef
17.
Zurück zum Zitat YoungSook H, Kang S, Park S, Seon-sook L, Song H. Antibacterial activities of flower tea extracts against oral bacteria. Korean J Food Cook Sci. 2011;27:21–8.CrossRef YoungSook H, Kang S, Park S, Seon-sook L, Song H. Antibacterial activities of flower tea extracts against oral bacteria. Korean J Food Cook Sci. 2011;27:21–8.CrossRef
18.
Zurück zum Zitat Zhu H, Zhou H, Qin Q, Zhang W. Association between smoking and sugar-sweetened beverage consumption, tooth brushing among adolescents in China. Children. 2022;9:1008.PubMedPubMedCentralCrossRef Zhu H, Zhou H, Qin Q, Zhang W. Association between smoking and sugar-sweetened beverage consumption, tooth brushing among adolescents in China. Children. 2022;9:1008.PubMedPubMedCentralCrossRef
19.
Zurück zum Zitat Manabe A, Kato Y, Finger WJ, Kanehira M, Komatsu M. Discoloration of coating resins exposed to staining solutions in vitro. Dent Mater J. 2009;28:338–43.PubMedCrossRef Manabe A, Kato Y, Finger WJ, Kanehira M, Komatsu M. Discoloration of coating resins exposed to staining solutions in vitro. Dent Mater J. 2009;28:338–43.PubMedCrossRef
20.
Zurück zum Zitat Arab L, Biggs ML, O’Meara ES, Longstreth WT, Crane PK, Fitzpatrick AL. Gender differences in tea, Coffee, and cognitive decline in the elderly: the cardiovascular health study. J Alzheimer’s Dis. 2011;27:553–66.CrossRef Arab L, Biggs ML, O’Meara ES, Longstreth WT, Crane PK, Fitzpatrick AL. Gender differences in tea, Coffee, and cognitive decline in the elderly: the cardiovascular health study. J Alzheimer’s Dis. 2011;27:553–66.CrossRef
21.
Zurück zum Zitat Peng X, Zhang M, Wang X, Wu K, Li Y, Li L, et al. Sex differences in the association between green tea consumption and hypertension in elderly Chinese adults. BMC Geriatr. 2021;21:1–7.CrossRef Peng X, Zhang M, Wang X, Wu K, Li Y, Li L, et al. Sex differences in the association between green tea consumption and hypertension in elderly Chinese adults. BMC Geriatr. 2021;21:1–7.CrossRef
22.
Zurück zum Zitat Kumar S, Tadakamadla J, Johnson NW. Effect of toothbrushing frequency on incidence and increment of dental caries: a systematic review and meta-analysis. J Dent Res. 2016;95:1230–6.PubMedCrossRef Kumar S, Tadakamadla J, Johnson NW. Effect of toothbrushing frequency on incidence and increment of dental caries: a systematic review and meta-analysis. J Dent Res. 2016;95:1230–6.PubMedCrossRef
23.
Zurück zum Zitat Yang H, Han R, Wang Z. Socioeconomics, health-related factors, and tooth loss among the population aged over 80 years in China. BMC Public Health. 2022;22:1–11.CrossRef Yang H, Han R, Wang Z. Socioeconomics, health-related factors, and tooth loss among the population aged over 80 years in China. BMC Public Health. 2022;22:1–11.CrossRef
24.
Zurück zum Zitat Zhao D, Ning J, Zhao Y, Lu E. Associations of dietary and drinking water habits with number of natural teeth: a longitudinal study in the Chinese elderly population. BMC Geriatr. 2021;21:1–16.CrossRef Zhao D, Ning J, Zhao Y, Lu E. Associations of dietary and drinking water habits with number of natural teeth: a longitudinal study in the Chinese elderly population. BMC Geriatr. 2021;21:1–16.CrossRef
25.
Zurück zum Zitat James PT, Leach R, Kalamara E, Shayeghi M. The worldwide obesity epidemic. Obes Res. 2001;9(Suppl 4):228S-33S.PubMed James PT, Leach R, Kalamara E, Shayeghi M. The worldwide obesity epidemic. Obes Res. 2001;9(Suppl 4):228S-33S.PubMed
26.
Zurück zum Zitat Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged: the index of ADL: a standardized measure of biological and psychosocial function. JAMA. 1963;185:914–9.PubMedCrossRef Katz S, Ford AB, Moskowitz RW, Jackson BA, Jaffe MW. Studies of illness in the aged: the index of ADL: a standardized measure of biological and psychosocial function. JAMA. 1963;185:914–9.PubMedCrossRef
27.
Zurück zum Zitat Zhao CN, Tang GY, Cao SY, Xu XY, Gan RY, Liu Q, et al. Phenolic profiles and antioxidant activities of 30 tea infusions from green, black, oolong, white, yellow and dark teas. Antioxidants. 2019;8:9–13.CrossRef Zhao CN, Tang GY, Cao SY, Xu XY, Gan RY, Liu Q, et al. Phenolic profiles and antioxidant activities of 30 tea infusions from green, black, oolong, white, yellow and dark teas. Antioxidants. 2019;8:9–13.CrossRef
28.
Zurück zum Zitat Tang GY, Zhao CN, Xu XY, Gan RY, Cao SY, Liu Q, et al. Phytochemical composition and antioxidant capacity of 30 Chinese teas. Antioxidants. 2019;8:180.PubMedPubMedCentralCrossRef Tang GY, Zhao CN, Xu XY, Gan RY, Cao SY, Liu Q, et al. Phytochemical composition and antioxidant capacity of 30 Chinese teas. Antioxidants. 2019;8:180.PubMedPubMedCentralCrossRef
29.
Zurück zum Zitat Thistle JE, Yang B, Petrick JL, Fan JH, Qiao YL, Abnet CC, et al. Association of tooth loss with liver cancer incidence and chronic liver disease mortality in a rural Chinese population. PLoS One. 2018;13:1–12.CrossRef Thistle JE, Yang B, Petrick JL, Fan JH, Qiao YL, Abnet CC, et al. Association of tooth loss with liver cancer incidence and chronic liver disease mortality in a rural Chinese population. PLoS One. 2018;13:1–12.CrossRef
30.
Zurück zum Zitat Lukacs JR. Gender differences in oral health in South Asia: metadata imply multifactorial biological and cultural causes. Am J Hum Biol. 2011;23:398–411.PubMedCrossRef Lukacs JR. Gender differences in oral health in South Asia: metadata imply multifactorial biological and cultural causes. Am J Hum Biol. 2011;23:398–411.PubMedCrossRef
31.
Zurück zum Zitat Russell SL, Gordon S, Lukacs JR, Kaste LM. Sex/gender differences in tooth loss and edentulism. Historical perspectives, biological factors, and sociologic reasons. Dent Clin North Am. 2013;57:317–37.PubMedCrossRef Russell SL, Gordon S, Lukacs JR, Kaste LM. Sex/gender differences in tooth loss and edentulism. Historical perspectives, biological factors, and sociologic reasons. Dent Clin North Am. 2013;57:317–37.PubMedCrossRef
32.
Zurück zum Zitat Alkhaldi AK, Alshiddi H, Aljubair M, Alzahrani S, Alkhaldi A, Al-Khalifa KS, et al. Sex differences in oral health and the consumption of sugary diets in a Saudi Arabian population. Patient Prefer Adherence. 2021;15:1121–31.PubMedPubMedCentralCrossRef Alkhaldi AK, Alshiddi H, Aljubair M, Alzahrani S, Alkhaldi A, Al-Khalifa KS, et al. Sex differences in oral health and the consumption of sugary diets in a Saudi Arabian population. Patient Prefer Adherence. 2021;15:1121–31.PubMedPubMedCentralCrossRef
33.
Zurück zum Zitat Han S, Mo G, Gao T, Sun Q, Liu H, Zhang M. Age, sex, residence, and region-specific differences in prevalence and patterns of multimorbidity among older Chinese: evidence from Chinese Longitudinal Healthy Longevity Survey. BMC Public Health. 2022;22:1–11.CrossRef Han S, Mo G, Gao T, Sun Q, Liu H, Zhang M. Age, sex, residence, and region-specific differences in prevalence and patterns of multimorbidity among older Chinese: evidence from Chinese Longitudinal Healthy Longevity Survey. BMC Public Health. 2022;22:1–11.CrossRef
34.
Zurück zum Zitat Goswami P, Kalita C, Bhuyan AC. Antibacterial activity of black tea extract against S. mutans, S. aureus, L. acidophilus, Klebsiella and E. coli. J Evol Med Dent Sci. 2020;9:18–22.CrossRef Goswami P, Kalita C, Bhuyan AC. Antibacterial activity of black tea extract against S. mutans, S. aureus, L. acidophilus, Klebsiella and E. coli. J Evol Med Dent Sci. 2020;9:18–22.CrossRef
35.
Zurück zum Zitat Naderi NJ, Niakan M, Kharazi Fard MJ, Zardi S. Antibacterial activity of Iranian green and black tea on streptococcus mutans: an in vitro study. J Dent (Tehran). 2011;8:55–9.PubMedPubMedCentral Naderi NJ, Niakan M, Kharazi Fard MJ, Zardi S. Antibacterial activity of Iranian green and black tea on streptococcus mutans: an in vitro study. J Dent (Tehran). 2011;8:55–9.PubMedPubMedCentral
36.
Zurück zum Zitat Ishikawa S, Konta T, Susa S, Kitabatake K, Ishizawa K, Togashi H, et al. Risk factors for tooth loss in community-dwelling Japanese aged 40 years and older: the Yamagata (Takahata) study. Clin Oral Investig. 2019;23:1753–60.PubMedCrossRef Ishikawa S, Konta T, Susa S, Kitabatake K, Ishizawa K, Togashi H, et al. Risk factors for tooth loss in community-dwelling Japanese aged 40 years and older: the Yamagata (Takahata) study. Clin Oral Investig. 2019;23:1753–60.PubMedCrossRef
37.
Zurück zum Zitat Musacchio E, Perissinotto E, Binotto P, Sartori L, Silva-Netto F, Zambon S, et al. Tooth loss in the elderly and its association with nutritional status, socio-economic and lifestyle factors. Acta Odontol Scand. 2007;65:78–86.PubMedCrossRef Musacchio E, Perissinotto E, Binotto P, Sartori L, Silva-Netto F, Zambon S, et al. Tooth loss in the elderly and its association with nutritional status, socio-economic and lifestyle factors. Acta Odontol Scand. 2007;65:78–86.PubMedCrossRef
38.
Zurück zum Zitat Maupome G, Martínez-Mier EA, Holt A, Medina-Solís CE, Mantilla-Rodríguez A, Carlton B. The association between geographical factors and dental caries in a rural area in Mexico. Cad Saude Publica. 2013;29:1407–14.PubMedCrossRef Maupome G, Martínez-Mier EA, Holt A, Medina-Solís CE, Mantilla-Rodríguez A, Carlton B. The association between geographical factors and dental caries in a rural area in Mexico. Cad Saude Publica. 2013;29:1407–14.PubMedCrossRef
39.
Zurück zum Zitat Voinea-Griffin A, Solomon ES. Dentist shortage: an analysis of dentists, practices, and populations in the underserved areas. J Public Health Dent. 2016;76:314–9.PubMedCrossRef Voinea-Griffin A, Solomon ES. Dentist shortage: an analysis of dentists, practices, and populations in the underserved areas. J Public Health Dent. 2016;76:314–9.PubMedCrossRef
40.
Zurück zum Zitat Tennant M, Kruger E. Turning Australia into a “flat-land”: what are the implications for workforce supply of addressing the disparity in rural-city dentist distribution? Int Dent J. 2014;64:29–33.PubMedCrossRef Tennant M, Kruger E. Turning Australia into a “flat-land”: what are the implications for workforce supply of addressing the disparity in rural-city dentist distribution? Int Dent J. 2014;64:29–33.PubMedCrossRef
41.
Zurück zum Zitat Hamano T, Takeda M, Tominaga K, Sundquist K, Nabika T. Is accessibility to dental care facilities in rural areas associated with number of teeth in elderly residents? Int J Environ Res Public Health. 2017;14:10–5.CrossRef Hamano T, Takeda M, Tominaga K, Sundquist K, Nabika T. Is accessibility to dental care facilities in rural areas associated with number of teeth in elderly residents? Int J Environ Res Public Health. 2017;14:10–5.CrossRef
42.
Zurück zum Zitat Hoshi M, Aida J, Kusama T, Yamamoto T, Kiuchi S, Yamamoto T, et al. Is the association between green tea consumption and the number of remaining teeth affected by social networks?: a cross-sectional study from the Japan gerontological evaluation study project. Int J Environ Res Public Health. 2020;17:1–10.CrossRef Hoshi M, Aida J, Kusama T, Yamamoto T, Kiuchi S, Yamamoto T, et al. Is the association between green tea consumption and the number of remaining teeth affected by social networks?: a cross-sectional study from the Japan gerontological evaluation study project. Int J Environ Res Public Health. 2020;17:1–10.CrossRef
43.
Zurück zum Zitat Singh A, Peres MA, Watt RG. The relationship between income and oral health: a critical review. J Dent Res. 2019;98:853–60.PubMedCrossRef Singh A, Peres MA, Watt RG. The relationship between income and oral health: a critical review. J Dent Res. 2019;98:853–60.PubMedCrossRef
44.
Zurück zum Zitat Morse DE, Avlund K, Christensen LB, Fiehn NE, Molbo D, Holmstrup P, et al. Smoking and drinking as risk indicators for tooth loss in middle-aged Danes. J Aging Health. 2014;26:54–71.PubMedCrossRef Morse DE, Avlund K, Christensen LB, Fiehn NE, Molbo D, Holmstrup P, et al. Smoking and drinking as risk indicators for tooth loss in middle-aged Danes. J Aging Health. 2014;26:54–71.PubMedCrossRef
45.
Zurück zum Zitat Hach M, Christensen LB, Lange T, Hvidtfeldt UA, Danielsen B, Diderichsen F, et al. Social inequality in tooth loss, the mediating role of smoking and alcohol consumption. Community Dent Oral Epidemiol. 2019;47:416–23.PubMedCrossRef Hach M, Christensen LB, Lange T, Hvidtfeldt UA, Danielsen B, Diderichsen F, et al. Social inequality in tooth loss, the mediating role of smoking and alcohol consumption. Community Dent Oral Epidemiol. 2019;47:416–23.PubMedCrossRef
46.
Zurück zum Zitat Nanri H, Yamada Y, Itoi A, Yamagata E, Watanabe Y, Yoshida T, et al. Consumption of green tea but not coffee is associated with the oral health-related quality of life among an older Japanese population: Kyoto-Kameoka cross-sectional study. Eur J Clin Nutr. 2019;73:577–84.PubMedCrossRef Nanri H, Yamada Y, Itoi A, Yamagata E, Watanabe Y, Yoshida T, et al. Consumption of green tea but not coffee is associated with the oral health-related quality of life among an older Japanese population: Kyoto-Kameoka cross-sectional study. Eur J Clin Nutr. 2019;73:577–84.PubMedCrossRef
47.
Zurück zum Zitat Zupo R, Castellana F, De Nucci S, Dibello V, Lozupone M, Giannelli G, et al. Beverages consumption and oral health in the aging population: a systematic review. Front Nutr. 2021;8:762383.PubMedPubMedCentralCrossRef Zupo R, Castellana F, De Nucci S, Dibello V, Lozupone M, Giannelli G, et al. Beverages consumption and oral health in the aging population: a systematic review. Front Nutr. 2021;8:762383.PubMedPubMedCentralCrossRef
48.
Zurück zum Zitat Ando A, Ohsawa M, Yaegashi Y, Sakata K, Tanno K, Onoda T, et al. Factors related to tooth loss among community-dwelling middle-aged and elderly Japanese men. J Epidemiol. 2013;23:301–6.PubMedCrossRef Ando A, Ohsawa M, Yaegashi Y, Sakata K, Tanno K, Onoda T, et al. Factors related to tooth loss among community-dwelling middle-aged and elderly Japanese men. J Epidemiol. 2013;23:301–6.PubMedCrossRef
49.
Zurück zum Zitat Hanioka T, Ojima M, Tanaka K, Aoyama H. Association of total tooth loss with smoking, drinking alcohol and nutrition in elderly Japanese: analysis of national database. Gerodontology. 2007;24:87–92.ADSPubMedCrossRef Hanioka T, Ojima M, Tanaka K, Aoyama H. Association of total tooth loss with smoking, drinking alcohol and nutrition in elderly Japanese: analysis of national database. Gerodontology. 2007;24:87–92.ADSPubMedCrossRef
50.
Zurück zum Zitat Kong J, Zhang G, Xia K, Diao C, Yang X, Zuo X, et al. Tooth brushing using toothpaste containing theaflavins reduces the oral pathogenic bacteria in healthy adults. 3 Biotech. 2021;11:1–11.CrossRef Kong J, Zhang G, Xia K, Diao C, Yang X, Zuo X, et al. Tooth brushing using toothpaste containing theaflavins reduces the oral pathogenic bacteria in healthy adults. 3 Biotech. 2021;11:1–11.CrossRef
51.
Zurück zum Zitat Huang Y, Fan C, Shi Y. Research on prevalence rate and related factors of hypertension and diabetes in senile people based on cross-sectional data of CLHLS study in. J Clin Med Pr. 2018;25:49–53. Huang Y, Fan C, Shi Y. Research on prevalence rate and related factors of hypertension and diabetes in senile people based on cross-sectional data of CLHLS study in. J Clin Med Pr. 2018;25:49–53.
52.
Zurück zum Zitat Rezende G, Arthur RA, Grando D, Hashizume LN. Cariogenic potential of sucrose associated with maltodextrin on dental enamel. Caries Res. 2017;51:129–35.PubMedCrossRef Rezende G, Arthur RA, Grando D, Hashizume LN. Cariogenic potential of sucrose associated with maltodextrin on dental enamel. Caries Res. 2017;51:129–35.PubMedCrossRef
53.
Zurück zum Zitat Ishimaru M, Ono S, Morita K, Matsui H, Yasunaga H. Domiciliary dental care among homebound older adults: a nested case-control study in Japan. Geriatr Gerontol Int. 2019;19:679–83.PubMedCrossRef Ishimaru M, Ono S, Morita K, Matsui H, Yasunaga H. Domiciliary dental care among homebound older adults: a nested case-control study in Japan. Geriatr Gerontol Int. 2019;19:679–83.PubMedCrossRef
54.
Zurück zum Zitat Esteves RSS, Mambrini JVM, Oliveira ACB, Abreu MHNG. Performance of primary dental care services: an ecological study in a large Brazilian city. Sci World J. 2013;2013:6–11.CrossRef Esteves RSS, Mambrini JVM, Oliveira ACB, Abreu MHNG. Performance of primary dental care services: an ecological study in a large Brazilian city. Sci World J. 2013;2013:6–11.CrossRef
55.
Zurück zum Zitat Matsui D, Yamamoto T, Nishigaki M, Miyatani F, Watanabe I, Koyama T, et al. Validity of self-reported number of teeth and oral health variables. BMC Oral Health. 2016;17:17.PubMedPubMedCentralCrossRef Matsui D, Yamamoto T, Nishigaki M, Miyatani F, Watanabe I, Koyama T, et al. Validity of self-reported number of teeth and oral health variables. BMC Oral Health. 2016;17:17.PubMedPubMedCentralCrossRef
56.
Zurück zum Zitat Hovik H, Kolberg M, Gjora L, Nymoen LC, Skudutyte- Rysstad R, Hove LH, et al. The validity of self-reported number of teeth and edentulousness among Norwegian older adults, the HUNT Study. BMC Oral Health. 2022;22:82.PubMedPubMedCentralCrossRef Hovik H, Kolberg M, Gjora L, Nymoen LC, Skudutyte- Rysstad R, Hove LH, et al. The validity of self-reported number of teeth and edentulousness among Norwegian older adults, the HUNT Study. BMC Oral Health. 2022;22:82.PubMedPubMedCentralCrossRef
Metadaten
Titel
Association between tea types and number of teeth: a cross-sectional study of the Chinese Longitudinal Healthy Longevity Survey
verfasst von
Zheqi Huang
Kahori Kawamura
Hideki Yoshimatsu
Tatsuro Miyake
Publikationsdatum
01.12.2024
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2024
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-17874-7

Weitere Artikel der Ausgabe 1/2024

BMC Public Health 1/2024 Zur Ausgabe