The association of the Prime Diet Quality Score (PDQS) with depression and anxiety symptoms: the Isfahan functional disorders (ISFUN) cohort study.

Background: Due to scarce epidemiologic data regarding the Prime Diet Quality Score (PDQS) and mental health disorders, this study aimed to investigate the association of PDQS with depression and anxiety symptoms in Iranian adults.Methods: This cross-sectional analysis was performed using the baseline data collected for the Isfahan functional disorders (ISFUN) cohort study. ISFUN was established in 2017 and enrolled apparently healthy adults, aged 18-65 years in Isfahan, Iran. Information on usual dietary intakes was collected using a validated Dish-based, 106-item food frequency questionnaire. The severity of depression and anxiety was assessed using a validated Iranian version of the Hospital Anxiety and Depression Scale.Results: A total number of1892 participants were enrolled in the present study. In total, 54.50% of subjects were female. In the fully adjusted model, participants with PDQS lower than median compared with those with PDQS higher than median had higher risk of depression (OR = 1.62; 95% CI: 1.11, 2.37) and anxiety (OR: 1.57; 95% CI: 1.08, 2.27). In stratified analysis by sex, males with PDQS lower than median compared with those with PDQS higher than median had greater risk for depressive (OR: 1.57) and anxiety symptoms (OR = 1.52). However, in females, no significant association was found between PDQS and odds of depression, and anxiety in the fully adjusted model.Conclusion: We found evidence indicating a significant inverse association between PDQS and depression and anxiety symptoms among Iranian adults. Further studies, in particular with prospective design, are required to confirm these findings.

Pressure algometry in the general adult population: Age and sex differences.

Experimental pain studies have revealed inter-individual variations in pain perception that are influenced by age, sex, and country of origin. This study aimed to explore the age and sex differences in pressure pain thresholds within the Iranian general population. To assess the pressure pain thresholds, a handheld pressure algometer was applied bilaterally to the middle fingers of both hands. The participants also completed the short form of the McGill Pain Questionnaire to provide a clinical pain rating. This cross-sectional study included 1610 adult subjects (54.96% female, mean age 40.13 ±â€…10.18 years). The findings indicated that females generally exhibited lower pain thresholds than males when assessing pain detection and tolerance parameters (P < .001). Females also demonstrated a significant lower pressure thresholds and clinical pain ratings compared with men (P < .001). Additionally, significant differences were observed between age groups in terms of pain detection and tolerance thresholds (P = .02 and P = .03, respectively). However, the interaction between sex and age was not significant. No significant differences in pain detection thresholds were observed between the right and left hand (P = .11). This study underscores the potential utility of algometry as a valuable tool for objectifying pain in the Iranian population.

All-cause mortality of hospitalized inflammatory bowel disease patients: a multicenter study from Iran.

Aim: In this multicenter study, we investigated all causes of mortality in hospitalized inflammatory bowel disease (IBD) patients. Background: The widespread use of biologics and immune suppressive treatments, along with the longer lifespan of patients with IBD, may have changed the cause of death in this population. Knowing this may lead to better preventive and therapeutic strategies for IBD patients. Methods: This cross-sectional study reviewed records of 1926 IBD patients hospitalized in referral hospitals in Isfahan and Shiraz during 2013-2021. In nine years, 84 patients, 39 from Isfahan and 45 from Shiraz, died. We retrospectively gathered data on demographic, clinical, and laboratory information, as well as the cause of death. We extracted the cause of death from the death sheets and classified it using the International Classification of Diseases (ICD-10). Using the Kaplan-Meier model, we estimated the median survival time from disease diagnosis to death. Results: Males accounted for 47 (55%) of the deceased patients. The mean age of the patients was 48.63 ± 18.7 years. The mortality rates among hospitalized UC and CD patients were 7.2% and 7.8%, respectively. The median duration of admission to death was 8 days, with 19 (22.6%) of IBD patients dying on the first day of their hospital admission. Half of the cohort of deceased IBD patients had survived for 8 years following their disease diagnosis. 32.7% of all recorded causes of death were due to certain infectious diseases. The second and third most common causes of death were diseases of the digestive system and diseases of the circulatory system, including pulmonary embolism, accounting for 30.1% and 14.2%, respectively. Conclusion: According to this study from Iran, infectious diseases are the leading cause of death among hospitalized IBD patients. Prevention and clinical management of pulmonary embolism in IBD patients require more careful consideration. We strongly encourage population-based cohort studies to enhance the findings.

A multidimensional longitudinal dataset on functional somatic syndromes.

Functional disorders represent a prevalent health issue, significantly impacting both individuals and healthcare systems. This multidisciplinary dataset aims to enhance our comprehension of the complex interplay among various factors that contribute to functional somatic syndromes. The dataset comprises data from seemingly healthy adults (aged 18-65) in Isfahan, Iran, who were randomly selected and monitored for four consecutive years. The research data encompasses seven distinct datasets: (a) functional symptom evaluations across multiple body organs, (b) psychological assessments, (c) lifestyle factors, (d) demographic and socioeconomic variables, (e) laboratory measurements, (f) clinical examinations, and (g) historical information. A total of 1930 participants were enrolled at the study's outset in 2017. The first, second, and third annual follow-up rounds were completed with 1697 (2018), 1616 (2019), and 1176 (2020) participants, respectively. This dataset is made available for further analysis by a diverse range of researchers, healthcare policymakers, and clinicians.

Emotion recognition support system: Where physicians and psychiatrists meet linguists and data engineers.

An important factor in the course of daily medical diagnosis and treatment is understanding patients' emotional states by the caregiver physicians. However, patients usually avoid speaking out their emotions when expressing their somatic symptoms and complaints to their non-psychiatrist doctor. On the other hand, clinicians usually lack the required expertise (or time) and have a deficit in mining various verbal and non-verbal emotional signals of the patients. As a result, in many cases, there is an emotion recognition barrier between the clinician and the patients making all patients seem the same except for their different somatic symptoms. In particular, we aim to identify and combine three major disciplines (psychology, linguistics, and data science) approaches for detecting emotions from verbal communication and propose an integrated solution for emotion recognition support. Such a platform may give emotional guides and indices to the clinician based on verbal communication at the consultation time.