BackgroundAging is one of the most prominent features in recent population dynamics around the world. As populations age, the prevalence of simultaneous chronic diseases increases, which is known as multimorbidity.ObjectiveThe aim of the present study was to determine the prevalence of multimorbidity and associated factors in a sample of elderly Mexican subjects.Materials and methodsA cross-sectional descriptive study was performed on a convenience sample of 139 subjects aged ≥60 years. The dependent variable was the multimorbidity diagnosis performed by a physician, which was categorized as 0 for subjects with no chronic disease or only 1 disease and 1 for subjects with 2 or more chronic diseases. Questionnaires were used to collect the information on the different variables. A statistical analysis was performed in Stata 11.0.ResultsThe mean age was 79.06±9.78 years, and 69.1% of the subjects were women. A total of 69.1% (95% confidence interval =61.3–76.8) reported at least 1 morbidity. The mean morbidity by subject was 1.04±1.90. Cardiovascular diseases (25.9%), hypertension (20.1%), musculoskeletal disorders (19.4%), and diabetes (13.7%) were the most frequently reported conditions. The prevalence of multimorbidity (2 or more diseases) was 27.3% (95% confidence interval =19.8–34.8). No significant differences were observed in the independent variables.ConclusionIn conclusion, the prevalence of multimorbidity in this sample of elderly Mexican subjects was relatively low. The distribution across the included variables was not significantly different. Interventions focused on the health care of older adults with multimorbidity should pay special attention to cardiovascular diseases, hypertension, and musculoskeletal disorders.
The objective of this study was to compare the differences between the measurements performed manually to those obtained using a digital model scanner of patients with orthodontic treatment.A cross-sectional study was performed in a sample of 30 study models from patients with permanent dentition who attended a university clinic between January 2010 and December 2015. For the digital measurement, a Maestro 3D Ortho Studio scanner (Italy) was used and Mitutoyo electronic Vernier calipers (Kawasaki, Japan) were used for manual measurement. The outcome variables were the measurements for maxillary intercanine width, mandibular intercanine width, maxillary intermolar width, mandibular intermolar width, overjet, overbite, maxillary arch perimeter, mandibular arch perimeter, and palate height. The independent variables, besides age and sex, were a series of arc characteristics. The Student t test, paired Student t test, and Pearson correlation in SPSS version 19 were used for the analysis.Of the models, 60% were from women. Two of nine measurements for pre-treatment and 6 of 9 measurements for post-treatment showed a difference. The variables that were different between the manual and digital measurements in the pre-treatment were maxillary intermolar width and palate height (P < .05). Post-treatment, differences were found in mandibular intercanine width, palate height, overjet, overbite, and maxillary and mandibular arch perimeter (P < .05).The models measured manually and digitally showed certain similarities for both vertical and transverse measurements. There are many advantages offered to the orthodontist, such as easy storage; savings in time and space; facilitating the reproducibility of information; and conferring the security of not deteriorating over time. Its main disadvantage is the cost.
Objectives: To determine the factors associated with dental caries in the primary and permanent dentition of children attending a paediatric dentistry clinic at a public university in central Mexico. Methods: A cross-sectional study was performed using the medical records from 309 patients aged 2 to 12 years who attended the Paediatric Dentistry Specialty Clinic at the Autonomous University of the State of Mexico between January 2014 and December 2015. The dependent variables were the experience of caries for each dentition (dmft index for primary dentition and DMFT index for permanent dentition), which were obtained from the clinical history in the diagnostic records. The independent variables were diverse sociodemographic, socioeconomic, and oral and general health indicators. Statistical analysis was performed using nonparametric tests in Stata. Results: The mean age was 5.71±2.43 years and 50.8% were men. The mean dmft index was 8.53±4.18 (prevalence=99%), while the DMFT index was 1.91±2.02 (prevalence=58.9%). The variables age, number of siblings, presence of syndrome, dental pain experience, dental pain presence, as well as oral hygiene with help showed statistically significant differences with dmft. Similarly, age, number of siblings, and dental pain experience were statistically significant with DMFT. Conclusions: The caries experience observed in this sample of self-selected patients was high. We identified several variables associated with dental caries in both dentitions.
The aim of this study was to identify if the prevalence of dental pain (past and / or present) is associated with caries experience in Mexican children, as well as to characterize factors associated with dental pain. A cross-sectional study was conducted in a consecutive sample of 309 children 2 to 12 years old who were patients at a dental school clinic in Toluca, Mexico. Data were collected from clinical records. The dependent variable had three categories: 0 = have never had dental pain, 1 = had dental pain before the appointment, and 2 = current dental pain. Non-parametric statistical tests were used in the analysis. A multivariate multinomial logistic regression model was generated in Stata 11.0. Average age was 5.71 ± 2.43 years and 50.8% were boys. The joint dmft+DMFT index was 9.11 ± 4.19. It was observed that 56.6% of children did not report having experienced dental pain, 30.7% reported having previously had dental pain, and 12.6% had pain when the clinical appointment took place. In the multivariate model, variables associated (p < .05) with previous dental pain were age (OR = 1.13); the dmft + DMFT index (OR = 1.13), having had a last dental visit for curative/emergency reasons (OR = 2.41) and prior experience of dental trauma (OR = 2.59). For current pain, only the joint dmft + DMFT index (OR = 1.10, p < 0.05) had significant associations. Almost half of the children had experienced dental pain in their lifetime. Since caries experience is a factor associated with dental pain, decreasing caries levels may ameliorate suffering from dental pain in children.
Dental caries is a public health problem worldwide according to WHO data. Among 20 treatments in pediatric dentistry, prefabricated metal crowns (PMCs) have been one of the most 21 successful options since they were introduced in cases of considerable tooth destruction. Our
BACKGROUND: Prefabricated metal crowns (PMCs) have been widely used in pediatric dentistry due to their great success in various clinical situations. However, it is important to know the local effects, such as changes in pH in the oral environment. OBJECTIVE: To evaluate the pH variations before and after placement of PMCs. METHODS: A quasi-experimental study (before and after) was performed with 32 pediatric patients who needed rehabilitation with PMCs at a pediatric dentistry clinic in a public university. Measurements were made using a pH potentiometer before PMC placement, one week after, and one month after placement. ANOVA and Pearson correlation were performed in SPSS. RESULTS: The average age of the participants was 5.9 ± 1.6 years, and 53.1% were female. The average pH before, one week after, and one month after crown placement was 7.46 ± 0.37, 7.00 ± 0.32, and 7.1 ± 0.19, respectively. Significant differences (p< 0.05) were observed between the three pH measurements. We found differences when comparing the basal pH values to those at one week (p= 0.001) and one month (p= 0.002). CONCLUSION: Although there were statistically significant differences in the pH change values before and after the placement of crowns, these differences may not have a clinical impact.
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