| Literature DB >> 28209191 |
Makiko Nishi1, Máiréad Harding2, Virginia Kelleher2, Helen Whelton3, Finbarr Allen4.
Abstract
BACKGROUND: A previous study has shown deficient knowledge of caries risk factors/indicators in a Japanese adult population regarded to have a high interest in preventive dentistry. No prior research has investigated caries risk knowledge in an Irish adult population. We hypothesise there may be unexpected differences or similarities in knowledge across countries with similar levels of economic development when comparing groups with different socio-economic and cultural profiles. Understanding what influences knowledge is important for the development of effective and efficient caries prevention strategies. The current paper aims to describe the knowledge of caries risk factors/indicators in two groups with different socio-economic profiles from two culturally distinct countries.Entities:
Keywords: Cross-cultural comparison; Dental caries; Fluorides; Ireland; Japan; Knowledge; Risk factors; Saliva; Social determinants of health; Socioeconomic factors
Mesh:
Year: 2017 PMID: 28209191 PMCID: PMC5314636 DOI: 10.1186/s12903-017-0345-x
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Correspondence table of questions on caries risk/indicator knowledge and other items
| Question category | Japanese studya | Irish study | |
|---|---|---|---|
| Caries risk | Generally speaking, what do you think is (are) the reason(s) for susceptibility (risk) of getting tooth-decay? Please choose all that apply. | d | Generally speaking, which of the following do you think would increase the risk of developing dental decay? Please choose all that apply. |
| Not brushing your teeth properly | Not brushing your teeth properly | ||
| Bad eating habit | e | Consuming too much sugary foods and drinks | |
| Consuming sugary foods and drinks too often | |||
| Consuming sugary foods and drinks just before bedtime | |||
| Having naturally ‘weak teeth’ | Having naturally “weak teeth” | ||
| Not visiting the dentist for a dental maintenance programme (check-ups and cleaning) | d | Not visiting the dentist for check-up and cleaning | |
| Not using fluoride | Not using fluoride | ||
| Having particular bacteria in the mouth that contribute to the development of dental decay | Having particular bacteria in the mouth that contribute to the development of dental decay | ||
| Low saliva flow rate | d | Having a reduced amount of saliva (spit) in the mouth | |
| Low quality of salivac | d | Having saliva (spit) that does not have the right composition to protect against decayc | |
| Other (please specify): | Other (please specify): | ||
| Opinion | How strongly do you agree with these statements? | ||
| The more I visit the dentist for check-ups, the more teeth, I think, are drilled. (Strongly agree, Somewhat agree, Neither agree nor disagree, Somewhat disagree, Strongly disagree) | |||
| Attendance for check-up and cleaning | Do you go to the dentist for a dental maintenance programme (check-ups and cleaning)? Yes, No | Do you go to the dentist for a dental maintenance programme (check-ups and cleaning)? Yes, No | |
| Gender | Male, Female | Male, Femaleb | |
| Age | 19 or younger than 19, 20–29, 30–39, 40–49, 50–59, 60 or older than 60 | d | Age at informed consent was calculated with the date of birthb. |
| Dental professionals | Are you a dental professional (dentist, dental hygienist, dental assistant and dental technician)? Yes, No |
English language versions of the questionnaires are provided as additional files (see Additional files 1 and 2)
aThe original questionnaire was in Japanese
bInformation was derived from the case report form which the dentist filled in
cWording used for low saliva buffering capacity
dThe questions were slightly different between the Japanese and Irish studies
eThe question was different between the Japanese and Irish studies
Number of dentists and respondents per dentist
| Japanese study | Irish study | ||
|---|---|---|---|
| Number of dentists |
|
| |
| Respondents per dentist | |||
| min. | 1 | 1 | |
| avg. | 9.3 | 19.9 | |
| s.d. | 5.1 | 26.5 | |
| max. | 18 | 83 | |
| Number of respondents |
|
| |
| Gender (%) | Male | 30.9 | 32.1 |
| Female | 69.1 | 67.9 | |
| Age (%) | 20–29 | 8.1 | 22.0 |
| 30–39 | 19.9 | 33.3 | |
| 40–49 | 23.4 | 24.5 | |
| 50–59 | 19.7 | 13.2 | |
| 60+ | 28.8 | 6.9 | |
| Gender & Age | |||
| Males |
|
| |
| Age (%) | 20–29 | 7.4 | 25.5 |
| 30–39 | 16.8 | 25.5 | |
| 40–49 | 15.4 | 27.5 | |
| 50–59 | 22.8 | 15.7 | |
| 60+ | 37.6 | 5.9 | |
| Females |
|
| |
| Age (%) | 20–29 | 8.4 | 20.4 |
| 30–39 | 21.3 | 37.0 | |
| 40–49 | 27.0 | 23.1 | |
| 50–59 | 18.3 | 12.0 | |
| 60+ | 24.9 | 7.4 | |
| Attendance for check-up and cleaning (%) |
|
| |
| Yes | 91.5 | 69.2 | |
| No | 8.5 | 30.8 | |
The table shows number of dentists and respondents per dentist; respondents by gender, age group and attendance for check-up and cleaning in the Japanese and Irish studies
Fig. 1Flow diagram showing numbers of patients at each stage of the Japanese and Irish studies. PSAP: Promoting Scientific Assessment in Prevention of Tooth Decay and Gum Disease. OHSRC: Oral Health Services Research Centre
Percentage (and 95% CI) of respondents from the Japanese and Irish studies identifying each risk factor/indicatora
| Risk factor/indicator Age group | Yes response by country (%) | Odds ratio (99%CI)b
| |||||
|---|---|---|---|---|---|---|---|
| Japanese study | Irish study | Country * Age interaction | Age | Country | |||
| Not brushing your teeth properlyc | e | e | e | ||||
| 20–39 | 94.8 | (89.1–97.6) | 94.3 | (87.2–98.1) | |||
| 40+ | 91.6 | (87.9–94.3) | 91.5 | (82.5–96.8) | |||
| All ages | 92.5 | (89.6–94.7) | 93.1 | (88.0–96.5) | |||
| Bad eating habitd | N.A. | e | N.A. | ||||
| 20–39 | 65.2 | (55.8–73.5) | |||||
| 40+ | 60.8 | (54.4–66.9) | |||||
| All ages | 62.0 | (56.3–67.4) | |||||
| Consuming too much sugary foods and drinksd | N.A. | e | N.A. | ||||
| 20–39 | 86.4 | (77.4–92.8) | |||||
| 40+ | 83.1 | (72.3–91.0) | |||||
| All ages | 84.9 | (78.4–90.1) | |||||
| Consuming sugary foods and drinks too oftend | N.A. | e | N.A. | ||||
| 20–39 | 77.3 | (67.1–85.5) | |||||
| 40+ | 84.5 | (74.0–92.0) | |||||
| All ages | 80.5 | (73.5–86.4) | |||||
| Consuming sugary foods and drinks just before bedtimed | N.A. | 2 (0.804–4.977) | N.A. | ||||
| 20–39 | 61.4 | (50.4–71.6) | Z = 1.96 | ||||
| 40+ | 76.1 | (64.5–85.4) |
| ||||
| All ages | 67.9 | (60.1–75.1) | |||||
| Having naturally ‘weak teeth’c | Z = 2.18 | N.R. | N.R. | ||||
| 20–39 | 47.4 | (39.0–56.0) | 48.9 | (38.1–59.8) |
| ||
| 40+ | 59.9 | (55.2–64.6) | 40.8 | (29.3–53.2) | |||
| All ages | 56.4 | (51.7–61.0) | 45.3 | (37.4–53.4) | |||
| Not visiting the dentist for check-up and cleaningc | e | e | 2.655 (1.550–4.547) | ||||
| 20–39 | 50.4 | (41.7–59.1) | 75.0 | (64.6–83.6) | Z = 4.68 | ||
| 40+ | 57.3 | (51.6–62.9) | 78.9 | (67.6–87.7) |
| ||
| All ages | 55.4 | (50.5–60.2) | 76.7 | (69.4–83.1) | |||
| Not using fluoridec | |||||||
| 20–39 | 32.6 | (22.2–45.1) | 37.5 | (27.4–48.5) | e | e | 1.714 (1.049–2.802) |
| 40+ | 26.5 | (21.0–32.9) | 43.7 | (31.9–56.0) | Z = 2.82 | ||
| All ages | 28.2 | (22.9–34.2) | 40.3 | (32.6–48.3) |
| ||
| Having particular bacteria in the mouth that contribute to the development of dental decayc | e | e | e | ||||
| 20–39 | 60.0 | (48.8–70.3) | 46.6 | (35.9–57.5) | |||
| 40+ | 46.4 | (39.2–53.8) | 49.3 | (37.2–61.4) | |||
| All ages | 50.2 | (43.0–57.4) | 47.8 | (39.8–55.9) | |||
| Having a reduced amount of saliva (spit) in the mouthc | e | e | 1.714 (0.159–0.433) | ||||
| 20–39 | 68.1 | (57.8–77.0) | 30.7 | (21.3–41.4) | Z = −6.88 | ||
| 40+ | 62.8 | (55.7–69.4) | 33.8 | (23.0–46.0) |
| ||
| All ages | 64.3 | (58.4–69.8) | 32.1 | (24.9–39.9) | |||
| Having saliva (spit) that does not have the right composition to protect against decayc | Z = −2.42 | N.R. | N.R. | ||||
| 20–39 | 32.6 | (24.5–41.9) | 22.7 | (14.5–32.9) |
| ||
| 40+ | 24.5 | (19.0–30.9) | 35.2 | (24.2–47.5) | |||
| All ages | 26.8 | (21.7–32.6) | 28.3 | (21.5–36.0) | |||
| % of subjects choosing 7 factors/indicators excluding diet item(s)c | e | e | e | ||||
| 20–39 | 11.9 | (6.7–20.0) | 9.1 | (4.0–17.1) | |||
| 40+ | 9.8 | (6.9–13.8) | 12.7 | (6.0–22.7) | |||
| All ages | 10.4 | (7.6–14.0) | 10.7 | (6.4–16.6) | |||
The table includes percentage (and 95% CI) of respondents choosing seven factors/indicators excluding diet item(s) according to age groups
N.A not applicable; N.R not relevant when interaction term was significant, e eliminated from model due to non-significance
aThe items were from the Irish study except “Bad eating habit”
bOdds ratio, reported for significant main effects in model and not for significant interactions
cStep1: full model fitted: Intercept + Age + Country + Country * Age; followed by backward elimination process
dFull model fitted: Intercept + Age
Average (and 95% CI) and standard deviation of the number of identified caries risk factor/indicator
| Age group | Japanese study | Irish study | Z, Significance level for terms in final modela | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Average | (95% CI) | sd | Average | (95% CI) | sd | Country* Age interaction | Age | Country | |
| 20–39 | 3.87 | (3.44–4.31) | 1.76 | 3.58 | (3.20–3.96) | 1.79 | e | e | e |
| 40+ | 3.71 | (3.54–3.88) | 1.62 | 3.76 | (3.30–4.22) | 1.95 | |||
| All ages | 3.75 | (3.56–3.95) | 1.66 | 3.66 | (3.37–3.95) | 1.86 | |||
The results were calculated excluding diet item(s) by age group
e: eliminated from model due to non-significance
aFull model: Intercept + Age + Country + Country *Age
Percentage of Japanese respondents agreeing with the statement by age group (n = 469)
| Age group | |||
|---|---|---|---|
| Statement | 20–39 | 40+ | All ages |
| The more I visit the dentist for check-ups, the more teeth, I think, are drilled. | |||
| Strongly/Somewhat agree | 12.6 | 9.9 | 10.7 |
| Neither agree nor disagree | 41.5 | 45.5 | 44.3 |
| Strongly/Somewhat disagree | 45.9 | 44.6 | 45.0 |