Aim. The aim of the study was to determine the prevalence and risk factors of asthma and asthma‐like symptoms in seasonal agricultural workers living in fields with toxic chemical exposure. Methods. European Community Respiratory Health Survey (ECRHS) questionnaire was used to assess the prevalence of asthma and asthma‐like symptoms in the study. Results. Of the study group, 51.1% (267) were male and the age of the study group ranged from 18 to 88 years and the mean (SD) was 45.68 (13.39) years. The prevalence of asthma attacks in seasonal agricultural workers in the last one year (current prevalence) was 11.2%; the prevalence of asthma (cumulative prevalence) was 15.1%. In the study, smoking was found to be an important risk factor for current asthma. The prevalence of cumulative asthma was higher in seasonal agricultural workers with allergic rhinitis (p < 0.05 for each). Conclusions. Seasonal agricultural workers are exposed to the worst conditions of working groups. These difficult conditions also cause many health problems. Asthma has also been identified as an important health problem among seasonal agricultural workers.

Background: Familial Mediterranean Fever (FMF) is a lifelong autoinflammatory disease that typically begins in childhood and requires continuous treatment and follow-up. The disease is characterized by recurrent inflammatory attacks, and the unpredictable nature of these episodes often leads to anxiety, depression, and a decreased quality of life. The aim of this study was to evaluate the quality of life in patients with FMF and to identify the clinical and psychological factors that influence it, with a particular focus on the roles of disease severity, anxiety, and depression. Methods: This cross-sectional study included 150 patients diagnosed with Familial Mediterranean Fever according to the Tel-Hashomer or Sheba Medical Center criteria. Participants completed the Short Form-36 and Hospital Anxiety and Depression Scale questionnaires. Clinical data and MEFV gene mutations were retrieved from the hospital registry. Disease severity was assessed using the International Severity Score for FMF. Associations between quality of life and clinical features, disease severity, anxiety, and depression were analyzed. Statistical analyses were performed using SPSS, with p ≤ 0.05 considered significant. Results: Among the participants, anxiety was more prevalent than depression (84% vs. 70%). However, no significant correlation was found between anxiety (HADS-A) or depression (HADS-D) scores and age, gender, presence of comorbidities, or FMF severity scores. This suggests that psychological symptoms in FMF patients may occur independently of clinical or demographic characteristics, indicating that the disease itself may contribute directly to the development of anxiety and depression. Conclusions: FMF negatively affects quality of life both physically and psychologically. The high rates of anxiety and depression, independent of clinical factors, highlight the importance of incorporating psychosocial evaluation into routine FMF care.

Objective: Statins are commonly used in the management of dyslipidemia, with their efficacy varying based on type and dose. They are prescribed for both primary and secondary cardiovascular prevention. However, achieving recommended low-density lipoprotein cholesterol (LDL-C) targets remains a challenge in clinical practice. This study aimed to assess achievement of target LDL-C levels in statin users and to identify modifiable factors related to treatment failure. Methods: This cross-sectional study was conducted in a family medicine outpatient clinic and included adults (≥18 years) on statin therapy for at least six months. Data were collected through face-to-face interviews using a sociodemographic questionnaire and the Adherence to Refills and Medications Scale (ARMS-7). Cardiovascular risk levels were classified using the SCORE risk calculator, and LDL-C goal attainment was assessed based on risk categories. Results: Of 334 participants, 51.8% were male. LDL-C levels exceeded 100 mg/dL in 43.1% of patients. According to SCORE classifications, 55.4% were identified as being at very high cardiovascular risk. Overall, 87.1% of participants failed to achieve target LDL-C levels. Target LDL-C levels were achieved by 30.4% of participants in the low-to-moderate risk group, 16.5% in the high-risk group, and only 6.5% in the very high-risk group (p

Aim: Asthma is a heterogeneous airway disease comprising distinct inflammatory phenotypes with variable clinical characteristics and treatment responses. Increasing evidence suggests that obesity-related metabolic dysfunction contributes to asthma pathogenesis; however, its relationship with eosinophilic asthma remains incompletely understood. This study aimed to evaluate metabolic dysfunction in patients with asthma and investigate its association with the eosinophilic phenotype using multiple insulin resistance-related metabolic indices. Methods: In this retrospective cross-sectional study, 90 patients with asthma and 131 healthy controls were included. Metabolic dysfunction was assessed using body mass index (BMI), homeostatic model assessment for insulin resistance (HOMA-IR), triglyceride-glucose (TyG) index, cholesterol-glucose (CHG) index, and metabolic score for insulin resistance (METS-IR). Eosinophilic asthma was defined as a peripheral blood eosinophil count ≥ 300 cells/µL. Group comparisons and multivariable logistic regression analyses were performed to identify factors associated with eosinophilic asthma. Results: Compared with healthy controls, patients with asthma demonstrated significantly higher BMI, HOMA-IR, METS-IR, peripheral eosinophil counts, and neutrophil-to-lymphocyte ratio (NLR), indicating greater metabolic dysfunction and systemic inflammation. Among patients with asthma, 27.8% were classified as having eosinophilic asthma. Patients with eosinophilic asthma had significantly lower BMI and METS-IR values than those with non-eosinophilic asthma. In the multivariable logistic regression analysis, METS-IR showed an inverse but non-significant association with eosinophilic asthma after adjustment for age, sex, inhaled corticosteroid (ICS) use, and NLR. Conclusions: Metabolic dysfunction was more prevalent in patients with asthma than in healthy individuals. Although eosinophilic asthma was associated with lower BMI and METS-IR values in univariate analyses, these associations were not confirmed after adjustment for potential confounders. These findings suggest that metabolic dysfunction may contribute to asthma phenotypic heterogeneity and warrant confirmation in larger prospective studies.

Background Behçet's Disease (BD) is characterized by oral and genital ulcers, arthritis, skin manifestations, uveitis, gastrointestinal tract, and central nervous system involvement. Although it is known to be more severe in men, there are studies in the literature with conflicting results regarding gender and the distribution of clinical findings. This study aimed to examine the relationship between clinical findings and gender in BD patients and to compare our results with the literature. Methods 506 patients diagnosed with Behçet's disease were included in the study. Demographic data, laboratory, and clinical findings of the patients were obtained retrospectively from hospital records. The distribution of clinical findings according to gender was evaluated. Results A total of 280 males (55.3%) and 226 females (44.7%) were included in the study. There was no significant difference between male and female patients regarding age at diagnosis (p=0.662). Genital ulcer (47.6% vs 52.4%, p=0.011), superficial thrombophlebitis (20.9% vs 79.1%, p=0.002), uveitis (33.7% vs 66.3%, p=0.02), deep vein thrombosis (22.5% vs 77.5%, p=0.00) and pulmonary artery aneurysm (11.1% vs 88.9%, p=0.046) were more common in males. There was no significant difference between the sexes in other clinical findings, HLA B5, and pathergy positivity. Conclusion Gender impacts the clinical manifestations of BD and should be considered in patient follow-up. However, it is a heterogeneous disease, other factors may certainly affect the emergence of clinical findings.