Background: Dentofacial anomalies, including malocclusion, emerge from the interplay of genetic, clinical, and environmental determinants. Understanding the factors associated with these anomalies is crucial at the primary care level. Our study aimed to determine the possible associated factors with dentofacial anomalies in patients attended at the primary care level. Methods: A multivariate logistic regression model was applied to a primary care population, with the presence of dentofacial anomalies as the dependent variable. Independent variables included age and selected clinical conditions of dental and neurological origin. Results: Age was inversely associated with dentofacial anomalies (OR = 0.991; 95% CI 0.985–0.998; p = 0.013). Significant clinical factors included vertigo (OR = 2.59; 95% CI 1.42–4.71; p = 0.002), hearing loss (OR = 4.34; 95% CI 2.44–7.72; p < 0.001), trigeminal neuralgia (OR = 8.54; 95% CI 3.22–22.67; p < 0.001), Bell’s palsy (OR = 9.19; 95% CI 4.01–21.04; p < 0.001), caries limited to enamel (OR = 17.92; 95% CI 12.99–24.71; p < 0.001), and acute gingivitis (OR = 10.64; 95% CI 5.61–20.20; p < 0.001). Conclusions: Both oral and neurological conditions showed strong associations with dentofacial anomalies. The model identified key factors that may facilitate early detection and guide the development of targeted preventive strategies in oral health practice and policy, supporting the integration of multidisciplinary approaches to patient care.
Asthma is a multifactorial respiratory condition affected by demographic, clinical, and lifestyle factors. Recognizing sex-related differences in risk factors may help develop personalized preventive strategies and ultimately enhance clinical outcomes. This study aims to compare the characteristics of male and female patients with asthma and to identify the primary risk factors linked to the condition in each group as well. A comparative analysis was conducted using regression models to evaluate the association between asthma and potential risk factors. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to estimate the strength of associations for men and women separately. In females, obesity (OR, 1.85; 95% CI, 1.24–2.75), chronic obstructive pulmonary disease (COPD) (OR, 3.37; 95% CI, 1.77–6.43), chronic sinusitis (OR, 4.37; 95% CI, 1.02–18.64), and hypothyroidism (OR, 1.79; 95% CI, 1.09–2.94) were significantly associated with asthma. In males, COPD was the strongest predictor (OR, 4.35; 95% CI, 1.18–15.97), while other factors showed weaker or non-significant associations. Age was not a significant predictor in either sex. The findings highlight important sex differences in the risk profile for asthma. These results underscore the need for sex-specific approaches in the prevention, diagnosis, and management of asthma.
Background and Objectives: Oral health is a key but often overlooked component of healthy aging and functional wellbeing in older adults. Population aging, multimorbidity, and social determinants of health interact in order to shape oral disease patterns, particularly in primary care settings. Understanding age- and sex-specific distributions of oral diseases is essential for informing integrated public health strategies aimed at promoting healthy aging. Materials and Methods: We conducted a cross-sectional population-based analysis using the SIMEF primary care database, including 7386 adults aged 60 years and older, who were attended between January and December 2022. Oral diseases were identified using ICD-10 codes K00–K14. Prevalence estimates were calculated by life decade and sex. Associations were assessed using chi-square tests and sex-stratified analyses. Results: The overall prevalence of oral diseases was 5.2%, with a significant and progressive decline across age groups, from 6.5% in sexagenarians to 1.6% in nonagenarians (p < 0.001). The most prevalent conditions were disorders of teeth and supporting structures (2.6%, 95% confidence interval [95% CI] 2.3–3.0), dentofacial anomalies (2.2%, 95% CI 1.8–2.5), and dental caries (1.7%, 95% CI 1.4–2.0). Women showed a slightly higher prevalence of selected oral and mucosal conditions. Among older adults with oral diseases (n = 384), the most frequent comorbidities were hypertension (40.4% 95% CI 35.7–45.3), type 2 diabetes (29.2% 95% CI 24.7–33.8), and dyslipidemia (21.1% 95% CI 17.2–25.3), with marked sex-specific differences in endocrine, urinary, musculoskeletal, and mental health conditions. Conclusions: Oral disease burden in older adults decreases with advancing age but remains strongly linked to cardiometabolic and systemic comorbidities, reflecting shared risk factors relevant to healthy aging. The observed age- and sex-specific patterns underscore the need to integrate oral health into primary care and public health policies targeting aging populations, supporting comprehensive and equitable strategies for healthy longevity.