Oral health status among dental students has been widely studied, and while the repercussions of certain factors, such as personality type, adherence to healthy lifestyle habits and certain eating patterns, have been considered in the past, this study aims to study the combination of such factors and to carry out, in addition, clinical examinations that could provide deeper knowledge of real oral health status. A sample of 195 dental students was gathered and basic sociodemographic data (gender, age, nationality, hygiene habits, body mass index (BMI)) were collected, and type A personality scale (ERCTA), emotional eating (EE) and healthy lifestyle scale (EVS) values were registered. Descriptive analysis, Pearson correlations, a hierarchical linear regression model and moderation analysis were performed. Results showed that higher EE values were associated with a higher BMI, an increase in the decayed, missing, and filled teeth (DMFT) index, a higher number of carious and filled teeth, a higher ERCTA and a lower adherence to the EVS. Likewise, a higher DMFT was associated with a higher BMI, higher bleeding on probing index (BOP) values, higher ERCTA values and lower adherence to EVS. Dental floss disuse, BMI, EE and EVS predicted 25.3% of DMFT. In addition, a type A personality has a moderating effect only in those with medium and high EE levels.

Background: Lifestyle habits such as sleep, hygiene, or eating conducts are nowadays suffering from a lack of consistency, and this situation is being linked to systemic and mental health consequences. Nevertheless, not enough attention has been paid to investigate the plausible relation between lifestyle habits and oral health, and hence, this investigation aims to study the possible effects of certain lifestyle conducts on oral health in dental students. Methods: A sample of 195 dental students was gathered and basic sociodemographic data (gender, age, and nationality), hygiene habits, as well as data related to smoking, adherence to healthy habits, and daily schedule constancy were recorded. Oral health, with reference to decayed, missing, and filled teeth, was recorded using the DMFT index and bleeding upon probing (BOP). The Healthy Lifestyle Scale (EVS) was utilized to record sleep, smoking, and mealtime and diet characteristics. Descriptive analysis, Pearson correlations, a hierarchical linear regression model, and moderation analysis were performed. Results: The present evidence showed a direct relation between healthy lifestyle habits and oral health indicators. Respect to mealtime routines (MT), correct sleep hygiene habits (SR) and eating a balanced diet (BD) exert a moderator effect on caries and smoking. Smoking shows a positive correlation with the number of filled teeth and BOP. Conclusions: Findings suggest that healthy lifestyle habits are related to better oral health status. In addition, correct sleep hygiene habits, a balanced diet, and a mealtime schedule can act as a moderator factor between caries and smoking.

Microimplant-assisted rapid palatal expansion (MARPE) is a technique widely used to treat transverse discrepancies in adult patients. The present study aims to examine how age, sex, maxillary width, and suture bone density might influence MARPE efficacy. It also analyzes bone density variations across the midpalatal suture regions. Materials and Methods: This retrospective study included 30 adult patients who underwent MARPE treatment. Pre- and post-treatment CT scans were analyzed to quantify the maxillary width and bone density measured in Hounsfield units (HUs) in the anterior, middle, and posterior nasal spine regions. Statistical analyses were carried out and included descriptive statistics, t-tests, and effect size calculations. Results: Younger patients (age 22.13 ± 4.58) had significantly higher success rates compared to older patients (aged 25.66 ± 4.67). No significant differences were found regarding sex or the initial maxillary width. Lower bone density in the middle and posterior nasal spine regions was correlated with higher success rates. Data showed that the anterior nasal spine exhibited higher bone density, but this finding did not affect treatment outcomes significantly. Conclusions: Age seems to be a crucial factor in MARPE success, with younger patients showing better outcomes. Regarding bone density, results showed that its values in the middle and posterior nasal spine regions could be a determinant of treatment success. On the contrary, sex and the initial maxillary width did not appear to affect outcomes. These findings emphasize the importance of preoperative assessments and the consideration of individual anatomical variations for optimal MARPE treatment planning.

Background: Pain during orthodontic debonding is a common clinical concern. Although previous studies have mainly focused on mechanical approaches to reduce discomfort, the influence of emotional characteristics of patients on pain perception remains insufficiently explored. In this study, we aimed to evaluate the association between pain perception, emotional affect, and anxiety during orthodontic bracket removal using different clinical protocols. Methods: A prospective observational comparative study was conducted at Rey Juan Carlos University (Madrid, Spain). A total of 140 orthodontic patients underwent bracket removal according to four routine clinical protocols determined by clinical scheduling: ligated with interocclusal cotton rolls (used for tooth stabilization), non-ligated with cotton rolls, ligated without cotton rolls, and non-ligated without cotton rolls. Pain intensity was assessed using a Visual Analog Scale (VAS) immediately before (T0) and after (T1) bracket removal. Baseline pain (T0) was recorded to control for pre-existing discomfort. Anxiety and emotional affect were measured using the State–Trait Anxiety Inventory (STAI) and the Positive and Negative Affect Schedule (PANAS), respectively. Statistical analyses included ANOVA, factorial ANCOVA adjusted for baseline pain, and multivariable regression models. Results: No significant baseline differences were observed among groups. The highest post-debonding pain scores were found in the group without cotton rolls and without ligatures. ANCOVA revealed a significant main effect of cotton roll use, with lower adjusted pain scores in patients treated with cotton rolls, whereas ligation showed no statistically significant independent effect. In multivariable regression analyses, baseline pain, age, and negative affect were independently associated with higher post-debonding pain. Conclusions: Within the limitations of a non-randomized design, cotton roll use was associated with lower post-debonding pain, whereas ligation appeared to have a limited influence. Patient-related factors—particularly negative affect, age, and baseline pain—were also associated with pain perception, supporting a biopsychosocial perspective. These findings should be interpreted as exploratory evidence rather than causal effects.

Background/Objectives: Routine administrative dental data can quantify specialty activity and reconstruct sequential patient movement when operational definitions and analytical provenance are explicit. To reconcile institutional activity through 30 June 2026, describe the derivation of all treatment records, and reconstruct patient transitions across 18 dental services. Methods: The official institutional report was the source of truth for descriptive totals. Patient-level workbooks were used for deduplication and transition analysis after excluding dates later than 30 June 2026. A treatment record was a coded administrative row; appointments and first visits followed the official report definitions. Directed transitions linked different services in consecutive dated patient stages. PageRank, betweenness and modularity were recalculated from the resulting matrix. Results: The official report comprised 98,685 treatment records represented by 476 treatment codes, 24,327 unique appointments and 1351 first visits. There were 7260 unique anonymized patient codes; 13,026 was the non-additive sum of service-specific patient counts. The cutoff-restricted chronology included 3947 multiservice patients and 16,347 dated stages. The network contained 253 directed service pairs and 8777 transitions (density 0.827). The leading PageRank values were RX (0.202), CIRUGÍA BUCAL (0.149), MEA (0.101), MIA (0.088), and MPSI (0.062). Modularity was low (Q = 0.042). Conclusions: The descriptive results are fully reconciled to the official report, while network estimates are restricted to reproducible individual trajectories from 1 January 2025 to 30 June 2026. The observed network characterizes sequential service use and should not be interpreted as proof of formal referral.

Background/Objectives: Routine administrative dental data can quantify specialty activity and reconstruct sequential patient movement when operational definitions and analytical provenance are explicit. To reconcile institutional activity through 30 June 2026, describe the derivation of all treatment records, and reconstruct patient transitions across 18 dental services. Methods: The official institutional report was the source of truth for descriptive totals. Patient-level workbooks were used for deduplication and transition analysis after excluding dates later than 30 June 2026. A treatment record was a coded administrative row; appointments and first visits followed the official report definitions. Directed transitions linked different services in consecutive dated patient stages. PageRank, betweenness and modularity were recalculated from the resulting matrix. Results: The official report comprised 98,685 treatment records represented by 476 treatment codes, 24,327 unique appointments and 1,351 first visits. There were 7,260 unique anonymized patient codes; 13,026 was the non-additive sum of service-specific patient counts. The cutoff-restricted chronology included 3,947 multiservice patients and 16,347 dated stages. The network contained 253 directed service pairs and 8,777 transitions (density 0.827). The leading PageRank values were RX (0.202), CIRUGÍA BUCAL (0.149), MEA (0.101), MIA (0.088), MPSI (0.062). Modularity was low (Q=0.042). Conclusions: The descriptive results are fully reconciled to the official report, while network estimates are restricted to reproducible individual trajectories from 1 January 2025 to 30 June 2026. The observed network characterizes sequential service use and should not be interpreted as proof of formal referral.