| Literature DB >> 35641122 |
Li Zou1, Mingye Zhang2, Wenning Fu3,4, Yifang Liu3, Jing Wen3, Zuxun Lu2.
Abstract
It is unclear whether the frequency of tooth brushing affects the risk of hypertension; thus, we conducted the first meta-analysis to focus on this topic. In this meta-analysis, we systematically searched the PubMed, Scopus, and Web of Science databases from their inception to October 2021 to identify eligible studies, while reference lists from retrieved review paper were also reviewed. We then conducted a meta-analysis of the highest compared with the lowest tooth brushing frequency, along with a dose-response meta-analysis, to explore this association. Subgroup and sensitivity analyses were conducted to identify the sources of heterogeneity. Publication bias was evaluated using Begg's and Egger's tests. We found eight relevant studies, three cohort and five cross-sectional, involving a total of 274 124 patients. Compared to the highest tooth brushing frequency, the lowest increased the risk of hypertension by 84.0% (OR 1.84; 95% CI, 1.44-2.35). Furthermore, a nonlinear dose-response relationship was observed (P < .05). The exclusion of any studies did not significantly alter the combined risk estimate, and no publication bias was detected. In conclusions, we report that epidemiological evidence supports the hypothesis that a lower frequency of tooth brushing is significantly associated with a higher risk of hypertension. Preventive interventions, such as adopting a good oral health routine, should be encouraged to maintain good general health.Entities:
Keywords: hypertension; meta-analysis; tooth brushing
Mesh:
Year: 2022 PMID: 35641122 PMCID: PMC9180317 DOI: 10.1111/jch.14498
Source DB: PubMed Journal: J Clin Hypertens (Greenwich) ISSN: 1524-6175 Impact factor: 2.885
FIGURE 1Flow‐chart showing the process of study retrieval, selection and inclusion adopted in the present systematic review and meta‐analysis
Characteristics of included studies
| Study ID | Author | Year | Study Size | Country | Gender | Mean Age (SD) | Study design | Adjustment of covariates |
|---|---|---|---|---|---|---|---|---|
| 1 | Kajikawa | 2014 | 190 | Japan | M&F | 57±18 | Cross‐sectional | None |
| 2 | Choi | 2015 | 19560 | Korea | M&F | 19‐95 | Cross‐sectional | Adjusted for age, sex, total body fat percentage, smoking, drinking, exercise, education, income, total energy intake, fat intake, and periodontitis. |
| 3 | Kuwabara | 2016 | 85864 | Japan | M&F | 47±11.5 | Cross‐sectional | Adjusted for age, gender, body mass index, hypertension, diabetes mellitus, dyslipidemia, hyperuricemia and chronic kidney disease, and also for lifestyle habits—smoking, drinking, walk time and sleep time. |
| 4 | Matsui | 2017 | 896 | Japan | M&F | 61 | Cohort | None |
| 5 | Kuwabara | 2017 | 10471 | Japan | M&F | 30–85 | Cohort | None |
| 6 | Hwang | 2018 | 8370 | Korea | M&F | >30 | Cross‐sectional | Adjusted for age, gender, and significant covariates (P <.05) |
| 7 | Fujita | 2009 | 76552 | Japan | M&F | 40–79 | Cross‐sectional | None |
| 8 | Daiki | 2020 | 72221 | Japan | M&F | 45.6 (12.2) | Cohort | None |
Results of quality assessment
| Study ID | ||||||||
|---|---|---|---|---|---|---|---|---|
| Criteria | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
| 1. Was the research question or objective in this paper clearly stated? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 2. Was the study population clearly specified and defined? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 3. Was the participation rate of eligible persons at least 50%? | Yes | Yes | Yes | No | Yes | Yes | Yes | Yes |
| 4. Were all the patients selected or recruited from the same or similar populations (including the same time period)? Were inclusion and exclusion criteria for being in the study prespecified and applied uniformly to all participants? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 5. Was a sample size justification, power description, or variance and effect estimates provided? | No | No | No | No | No | No | No | No |
| 6. For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured? | Yes | No | Yes | Yes | Yes | Yes | No | Yes |
| 7. Was the time frame sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed? | No | No | No | No | No | No | No | No |
| 8. For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome (eg, categories of exposure, or exposure measured as continuous variable)? | Yes | Yes | Yes | Yes | Yes | No | Yes | Yes |
| 9. Were the exposure measures (independent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 10. Was the exposure(s) assessed more than once over time? | No | No | No | No | No | No | No | No |
| 11. Were the outcome measures (dependent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | Yes | Yes | Yes | Yes | Yes | Yes | Yes | Yes |
| 12. Were the outcome assessors blinded to the exposure status of participants? | No | No | No | No | No | No | No | Yes |
| 13. Was loss to follow‐up after baseline 20% or less? | No | No | No | No | No | No | No | No |
| 14. Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)? | No | Yes | Yes | No | No | Yes | No | No |
| Total score | 8 | 8 | 9 | 7 | 8 | 8 | 7 | 9 |
FIGURE 2Association between tooth brushing and the risk of hypertension in a meta‐analysis of observational studies. CI, confidence interval
FIGURE 3Forest plot of the summary odds ratio hypertension for a decrement of one time of tooth brushing per day
Results of subgroup analyses about tooth brushing and the risk of hypertension
| Subgroup | Number of studies | OR/RR | 95% confidence intervals |
| P for heterogeneity | P for meta‐regression |
|---|---|---|---|---|---|---|
| Sex | 0.235 | |||||
| Male | 2 | 1.147 | 0.988 | 1.306 | 0 | 0.506 |
| Female | 1 | 2.259 | 1.656 | 2.862 | NA | NA |
| Mixed | 8 | 1.765 | 1.471 | 2.058 | 92.9 | <.001 |
| Study design | 0.776 | |||||
| Cross‐sectional | 5 | 1.98 | 1.32 | 2.65 | 95.8 | <.001 |
| cohort | 3 | 1.53 | 1.11 | 1.95 | 46.6 | 0.154 |
| Adjustment of Covariates | 0279 | |||||
| Yes | 3 | 1.47 | 1.11 | 1.82 | 83.9 | 0.002 |
| No | 5 | 2.19 | 1.23 | 3.15 | 94.5 | <.001 |
| Sample size | 0.933 | |||||
| <1000 | 2 | 2.14 | 1.33 | 3.44 | 42.7 | 0.186 |
| 1000–20000 | 3 | 1.29 | 1.10 | 1.52 | 55.9 | 0.103 |
| 20000–100000 | 3 | 1.84 | 1.44 | 2.35 | 96.1 | <.001 |
FIGURE 4Funnel plot with 95% confidence interval