| Literature DB >> 30949062 |
Railson de Oliveira Ferreira1, Marcio Gonçalves Corrêa1, Marcela Baraúna Magno2, Anna Paula Costa Ponte Sousa Carvalho Almeida1, Nathália Carolina Fernandes Fagundes3, Cassiano Kuchenbecker Rosing4, Lucianne Cople Maia2, Rafael Rodrigues Lima1.
Abstract
Background: Regular physical activity boosts several physical capacities and reduces many inflammatory markers of several diseases. In this sense, periodontal disease is a multifactorial inflammatory disease of tooth supporting tissues that has been claimed to trigger processes of systemic alterations. The aim of this systematic review and meta-analysis was to assess the effects of physical activity on periodontal disease.Entities:
Keywords: PRISMA; periodontal disease; periodontitis; physical activity; systematic review
Year: 2019 PMID: 30949062 PMCID: PMC6438044 DOI: 10.3389/fphys.2019.00234
Source DB: PubMed Journal: Front Physiol ISSN: 1664-042X Impact factor: 4.566
Data extraction of the selected articles.
| Sakki et al., | Cross-sectional | 55 years | Probing depth Periodontal pockets > 3mm | None | Questionaire–Low exercise–Less than 15 min walking, cycling, walking to work and exercised only once or less in a week High – Other practices over low exercise rate | Logistic regression analysis | Lifestyle had an independent association with periodontal health. Periodontal pocketing increased with annanheallhier lifestyle | Lifestyle could explain some of the social and sex differences in periodontal health | |
| Al-Zahrani et al., | Cross-sectional | Mean age (SE) Without periodontitis 47.4(0.5) With periodontitis 50.3(0.9) | Probing depth Clinical Attachment loss | None | Questionnaire -nine-leisure time activities - –walking a mile, running, cycling, aerobics exercise, dancing, swimming, calisthenics, garden or yard work and weight lifting | Multivariable logistic regression analysis | Engaging in the recommend level of physical activity (OR 0.58, 95% CI, 0.35–0.96; | Engaging in the recommended level of exercise is associated with lower periodontitis prevalence, especially among never and former smokers | |
| Al-Zahrani et al., | Cross-sectional | N° enhancing-behaviors Mean age (SE) 0–43.4 (0.45) 1–40.2 (0.64) 2 −39.7 (0.80) 3–48.8 (1.43) | Probing depth Gingival bleeding | None | Comparison Periodontitis Three-enhancing behaviors 1—Questionnaire of nine-leisure time walking mile, running, cycling, aerobics exercise, dancing, swimming, calisthenics, garden or yard work and weight lifting. 2—Maintaining body mass index 3—Dietary quality—Healthy Eating Index (HEI) | Multivariable logistic regression analysis | Engaging in one health behavior is associated with 16% reduction in the prevalence of periodontitis ([OR] = 0.84; 95% [CI] = 0.77-0.93). Engaging Three healthy behaviors were associated with 40% reduction of periodontitis prevalence compared to individuals with none of these health-enhancing behaviors | An increase number of healthy-behaviors is associated with lower periodontitis prevalence | |
| Sanders et al., | Case-control | (143)18–44 years (201) 45–64 years (108) 65+ years | Probing depth and Gengival Recession to obtain the Clinical Attachment Loss | GCF e IL-1b (ELISA methods) | Questionnaire-Leisure-time physical activity. Physical activity A sufficiently active group (>150 min over 5 sessions) vs. an insufficiently active group (< 150 min. over 5 sessions). | Unconditional logistic regression | Subjects, with a prescribed threshold for leisure-time physical activity had lower adjusted odds of elevated IL-1b: OR 0.69, (95% CI 0.50–0.94) and detectable CRP: OR 0.70 (0.50–0.98) than less active adults. Physical activity was not associated with periodontitis: OR 1.14 (0.80–1.62) | Leisure-time physical activity may protect against an excessive inflammatory response in periodontitis | |
| Bawadi et al., | Cross-sectional | 18–70 years Mean 36± 14.9 years | Plaque index, Gingival Index Probing depth Clinical Attachment Loss | None | Questionnaire- International Physical Activity Questionnaire (IPAQ) | General Linear Model Multivariate procedure. This procedure provided regression analysis and analysis of variance for multiple dependent variables (periodontal parameters) by different explanatory variables and covariates. | Individuals who were highly physically active had a significantly lower PI, GI, CAL and percentage of sites with CAL± 3 mm compared to individuals with a low and moderate level of physical activity | A low physical activity level and a poor diet were significantly associated with increased odds of periodontal disease. Further studies are needed to understand this relationship in greater detail | |
| Merchant et al., | Cause Cohort | Age: 35–49 50–54 55–59 60–64 65–69 70+ | Radiographic analysis Sub-sample ( | None | Questionnaire– Hours per week walking (walking to work), hiking, jogging, running, bicycling, using a stationary bicycle, swimming, playing tennis, squash, or aerobics, and the numbers of flights of stairs that participants climbed. | Cox regression analysis–Relative risk and Hazard Ratios Cox regression analysis–Relative risk and Hazard Ratios | A linear inverse association of sustained physical activity and periodontitis was found after confounders adjustment. A healthy lifestyle that incorporates physical activity, including walking, may be beneficial to periodontal health | ||
| Samnieng et al., | Cross-sectional | Mean = 68.8 ± 5.9 years | Probing depth Clinical attachment loss | None | Questionnaire Subjects were dichotomized into a high health practices group (six to seven practices) and a low health practices (zero to five practices) group based on the number of desirable health practices. | ANCOVA analysis. | ANCOVA analysis demonstrated the following significant association: physical activity with periodontal disease and salivary flow rate | Health practices were also associated with better oral health outcomes such as higher number of teeth present, fewer DT, less periodontal disease, oral malodour, and higher salivary flow rate |
Figure 1Flow diagram of the screened articles accordingly PRISMA statement.
Quality assessment of methods and risk of bias for selected studies.
| Study design appropriate to objectives? | Objective common design | |||||||
| Prevalence Cross-sectional | ||||||||
| Prognosis cohort | ||||||||
| Treatment controlled trial | ||||||||
| Cause Cohort, case-control, cross-sectional | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Study sample representative? | Source of sample | 0 | ++ | 0 | 0 | 0 | 0 | 0 |
| Sampling method | ++ | ++ | ++ | + | 0 | 0 | 0 | |
| Sample size | + | + | + | 0 | 0 | + | 0 | |
| Entry criteria/exclusion | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Non-respondents | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Control group acceptable? | Definition of controls | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Source of controls | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Matching/randomization | 0 | + | + | 0 | + | 0 | 0 | |
| Comparable characteristics | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Quality of measurements and outcomes? | Validity | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Reproducibility | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Blindness | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Quality control | + | + | 0 | 0 | 0 | 0 | 0 | |
| Completeness | Compliance | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Drop outs | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Deaths | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Missing data | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Distorting influences? | Extraneous treatments | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Contamination | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Changes over time | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Confounding factors | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Distortion reduced by analysis | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
| Summary questions | Bias: | |||||||
| Are the results erroneously biased in certain direction? | NO | NO | NO | NO | NO | NO | NO | |
| Confounding: | ||||||||
| Are there any serious confusing or other distorting influences? | NO | NO | NO | NO | NO | NO | NO | |
| Chance: | ||||||||
| Is it likely that the results occurred by chance? | NO | NO | NO | NO | NO | NO | NO |
Figure 2Forest plot of association between physical activity and prevalence of PD.
Summary of findings of physical activity/active compared to sedentary/inactive individuals for periodontal disease prevalence.
| 6 | Observational studies | Not serious | Not serious | Not serious | Not serious | All plausible residual confounding would reduce the demonstrated effect | 1,324/6,810 (19.4%) | 1,268/5,580 (22.7%) | OR 0.67 (0.56 to 0.81) | 63 fewer per 1.000 (from 35 fewer to 86 fewer) | ⊕⊕⊕○ MODERATE |
| 6 | Observational studies | Not serious | Not serious | Not serious | Not serious | All plausible residual confounding would reduce the demonstrated effect | 1,324/6,810 (19.4%) | 1,268/5,580 (22.7%) | OR 0.78 (0.65 to 0.93) | 41 fewer per 1.000 (from 12 fewer to 67 fewer) | ⊕⊕⊕○ MODERATE |
CI, confidence interval; OR, odds ratio.
Although the substantial overall heterogeneity (68%), the subgroup analysis detected that it is related with the presence of adjusted model in statistical model of primary studies. There was not wide variation in the effect estimates across studies. Therefore, the authors did not considered it a serious or very serious inconsistency.
Figure 3Forest plot of log OR between physical active and periodontal disease.