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College students, as a large part of young adults, are a vulnerable group to several risky behaviors including smoking and drug abuse. This study aimed to utilize and to compare count regression models to identify correlates of cigarette smoking among college students. This was a cross-sectional study conducted on students of Hamadan University of Medical Sciences. The Poisson, negative binomial, generalized Poisson, exponentiated-exponential geometric regression models and their zero-inflated counterparts were fitted and compared using the Vuong test (α = 0.05). A number of 1258 students participated in this study. The majority of students were female (60.8%) and their average age was 23 years. Most of the students were non-smokers (84.6%). Negative binomial regression was selected as the most appropriate model for analyzing the data (comparable fit and simpler interpretation). The significant correlates of the number of cigarettes smoked per day included gender (male: incident-rate-ratio (IRR = 9.21), birth order (Forth: IRR = 1.99), experiencing a break-up (IRR = 2.11), extramarital sex (heterosexual (IRR = 2.59), homosexual (IRR = 3.13) vs. none), and drug abuse (IRR = 5.99). Our findings revealed that several high-risk behaviors were associated with the intensity of smoking, suggesting that these behaviors should be considered in smoking cessation intervention programs for college students.

Background Major depressive disorder (MDD) is a common recurrent mental disorder and one of the leading causes of disability in the world. The recurrence of MDD is associated with increased psychological and social burden, limitations for the patient, family, and society; therefore, action to reduce and prevent the recurrence of this disorder or hospital readmissions for depression among the patients is essential. Methods The data of this retrospective cohort study were extracted from records of 1005 patients with MDD hospitalized in Farshchian hospital in Hamadan city, Iran (2011–2018). The hospital readmissions rate due to depression episodes was modeled using generalized Poisson regression (GPR). Demographic and clinical characteristics of the patients were considered as explanatory variables. SAS v9.4 was used ( P  < 0.05). Results A majority of the patients were male (66.37%). The mean (standard deviation) of age at onset of MDD and the average number of hospital readmissions were 32.39 (13.03) years and 0.53 (1.84), respectively (most patients (74.3%) did not experience hospital readmissions). According to the results of the GPR, the lower age at the onset of the disease (IRR = 1.02; P  = 0.008), illiteracy (IRR = 2.06; P  = 0.003), living in urban areas (IRR = 1.56; P  = 0.015), history of psychiatric illnesses in the family (IRR = 1.75; P  = 0.004), history of emotional problems (IRR = 1.42; P  = 0.028) and having medical disorders (IRR = 1.44; P  = 0.035) were positively associated with the number of hospitalizations. Conclusion According to our findings, urbanization, early onset of the disease, illiteracy, family history of mental illness, emotional problems, and medical disorders are among major risk factors associated with an increased number of hospital readmissions of MDD.

Background Schizophrenia is a chronic, severe, and debilitating mental disorder always considered one of the recurrent psychiatric diseases. This study aimed to use penalized count regression models to determine factors associated with the number of rehospitalizations of schizophrenia disorder. Methods This retrospective cohort study was performed on 413 schizophrenic patients who had been referred to the Sina (Farshchian) Educational and Medical Center in Hamadan, Iran, between March 2011 and March 2019. The penalized count regression models were fitted using R.3.5.2. Results About 73% of the patients were male. The mean (SD) of age and the number of rehospitalizations were 36.16 (11.18) years and 1.21 (2.18), respectively. According to the results, longer duration of illness ( P  < 0.001), having a positive family history of psychiatric illness ( P  = 0.017), having at least three children ( P  = 0.013), unemployment, disability, and retirement ( P  = 0.025), residence in other Hamadan province townships ( P  = 0.003) and having a history of arrest/prison ( P  = 0.022) were significantly associated with an increase in the number of rehospitalizations. Conclusion To reduce the number of rehospitalizations among schizophrenic patients, it is recommended to provide special medical services for patients who do not have access to specialized medical centers and to create the necessary infrastructure for the employment of patients.

Background Sleep disorders can be harmful to our health and treating them can also be expensive. Due to the widespread occurrence and impact of sleep disorders, it is valuable to investigate and study them from an epidemiological perspective. Therefore, this study aimed to determine the prevalence of sleep disorders among Iranian adults in 2022. Method This is a cross-sectional study that examines the prevalence of sleep disorders and problems in Iranian society. The participants were selected using a mixed sampling approach (utilizing virtual space and cluster sampling). A two-part package was used for evaluating participants sleep problems, which included a demographic profile form and the Holland Sleep Disorders Questionnaire. After collecting the data, appropriate statistical tests in SPSS version 25 were utilized for analysis. Results A total of 6013 questionnaires were fully filled out for this research, with participants answering the specific questions. The participants’ score on sleep disorders was 1.94, which means 44.1% of them suffer from sleep disorders. The results indicated that the prevalence of sleep disorders in this study was as follows: insomnia (35%), parasomnia (35.3%), circadian rhythm sleep disorder (38.4%), hypersomnia and excessive daytime sleepiness (39%), restless leg syndrome and leg movements during sleep (43%), and breathing disorders related to sleep (38.4%). The prevalence of sleep disorders among the study participants demonstrated a significant relationship with most of their demographic variables ( P  < 0.001). The Pearson correlation coefficient also revealed an inverse and significant relationship between the prevalence of sleep disorders in the study participants and their age, monthly household income, and BMI ( P  < 0.001). Conclusion Overall, the results depicted a relatively high prevalence of sleep disorders in the studied community. These findings emphasize the need for interventions to prevent and treat sleep disorders in society.

Stability of the brain functional network is directly linked to organization of synchronous and anti-synchronous activities. Nevertheless, impact of arrangement of positive and negative links called links topology requires to be well understood. In this study, we investigated how topology of the functional links reduce balance-energy of the brain network in obsessive-compulsive disorder (OCD) and push the network to a more stable state as compared to healthy controls. Therefore, functional associations between the regions were measured using the phase synchrony between the EEG activities. Subsequently, balance-energy of the brain functional network was estimated based on the quality of triadic interactions. Occurrence rates of four different types of triadic interactions including weak and strong balanced, and unbalanced interactions were compared. In addition, impact of the links topology was also investigated by looking at the tendency of positive and negative links to making hubs. Our results showed although the number of positive and negative links were not statistically different between OCD and healthy controls, but positive links in OCDs’ brain networks have more tendency to make hub. Moreover, lower number of unbalanced triads and higher number of strongly balanced triad reduced the balance-energy in OCDs’ brain networks that conceptually has less requirement to change. We hope these findings could shed a light on better understanding of brain functional network in OCD.

Background Across the globe, depression is a common psychiatric disorder and is the main cause of disability among adolescents. To this end, this study was conducted to screen for the prevalence of depression among secondary school female students in the city of Hamadan, in western Iran. Methods In this cross-sectional study, a total of 670 secondary school female students, within the age range of 15–18 years were investigated using multistage random sampling method. Moreover, the Persian version of Center for Epidemiologic Studies Depression Scale (CES-D) and a researcher-designed questionnaire containing demographic variables were employed as research instruments. Analyses of the findings were made using SPSS version 16 software followed by stratified logistic regression model, which was performed for correlation analysis. Results The mean (standard deviation) age of students was 16.2 (0.68) years. The prevalence of severe depression in female students estimated by the Center for Epidemiologic Studies Depression Scale (CES-D) was equal to 52.6%. A statistically significant relationship was also observed to exist between prevalence of depression and type of school ( P  < 0.001), family income (P < 0.001), living in the suburbs ( P  < 0.001), and field of study at school (P < 0.001). However, no statistically significant correlation was found between depression among students and school grade, type of living with parents, father’s education and occupation, mother’s education and occupation, and family size. Conclusion Depression was prevalent among the secondary school female students examined and it significantly correlated with socioeconomic status. Therefore, periodic screening, psychological training programs, proper diagnosis of high-risk individuals in secondary schools, and early intervention among secondary school female students are urgently needed.

Background College students are at an increased risk of psychiatric distress. So, identifying its important correlates using more reliable statistical models, instead of inefficient traditional variable selection methods like stepwise regression, is of great importance. The objective of this study was to investigate correlates of psychiatric distress among college students in Iran; using group smoothly clipped absolute deviation method (SCAD). Methods A number of 1259 voluntary college students participated in this cross-sectional study (Jan-May 2016) at Hamadan University of Medical Sciences, Iran. The data were collected using a self-administered questionnaire consisting of demographic information, a behavioral risk factors checklist and the GHQ-28 questionnaire (with a cut-off of 23 to measure psychiatric distress, recommended by the Iranian version of the questionnaire). Penalized logistic regression with a group-SCAD regularization method was used to analyze the data (α = 0.05). Results The majority of students were aged 18–25 (87.61%), and 60.76% of them were female. About 41% of students had psychiatric distress. Significant correlates of psychiatric distress among college students selected by group-SCAD included the average grade, educational level, being optimistic about future, having a boy/girlfriend, having an emotional breakup, the average daily number of cigarettes, substance abusing during previous month and having suicidal thoughts ever ( P  < 0.05). Conclusions Penalized logistic regression methods such as group-SCAD and group-Adaptive-LASSO should be considered as plausible alternatives to stepwise regression for identifying correlates of a binary response. Several behavioral variables were associated with psychological distress which highlights the necessity of designing multiple factors and behavioral changes in interventional programs.

Introduction Given the prevalence of Primary ovarian insufficiency (POI) in the community and the limited number of studies on the impact of psychological factors on the sexual health of affected women, this study aimed to investigate the relationship between stress, anxiety and depression with sexual function among women with POI in the west of Iran. Methods This cross-sectional study was conducted on 240 women between December 2023 and April 2025. Participants included women with POI undergoing infertility treatment at the Fatemieh Infertility Center, a referral hospital in Hamadan, Iran. Data collection tools included a demographic and laboratory information form, the short form of the Depression, Anxiety, and Stress Scale (DASS-21), and the Female Sexual Function Index (FSFI) questionnaire. Statistical analyses were performed using Stata software (version 14; StataCorp LLC, College Station, TX, USA), with a significance level of 0.05 set for all p -values. Results Depression, anxiety, and stress exhibit strong inter-correlations (0.48–0.57) and robust inverse correlations with all sexual function domains (negative correlations up to -0.65). Components of the FSFI questionnaire (e.g., desire, arousal, satisfaction) demonstrate high correlations (0.57–0.85). In addition, among the categorical variables analyzed, only economic status (mean FSFI score: 14.55 for low-incomevs. 15.87 for middle-income, p  = 0.02) and family history of infertility (mean FSFI: 14.24 with history vs. 15.86 without, p  = 0.009) show statistically significant associations with total sexual function. The analysis of total mental health scores across categorical variables revealed that family history of infertility showed a statistically significant association ( p  = 0.009), with individuals reporting a family history scoring higher (Mean = 47.94, SD = 5.68) compared to those without (Mean = 45.15, SD = 6.87). Conclusion Depression, anxiety, and stress robust inverse correlations with all sexual function domains.Economic status and family history of infertility show statistically significant associations with total sexual function.Family history of infertility showed a statistically significant association with total mental health scores.Finding is recommended that psychological counseling classes be offered to women with POI.

The aim was to define the association between the severity of depression, prosody, and voice acoustic features in women suffering from depression and its comparisons with nondepressed people. Prosody and acoustic features in 30 women with major depression hospitalized in a psychiatric ward and 30 healthy women were investigated in a cross-sectional study. To define the severity of depression, the Hamilton Rating Scale for Depression (HRS-D) was applied. Acoustic parameters such as jitter, shimmer, cepstral peak prominence (CPP), standard deviation of fundamental frequency (SD F0), harmonic-to-noise ratio, and F0 and also some speech prosodic features including the speed of speech, switching pause duration means, and durations of produced sentences with different modals were measured quantitatively. Also, six raters judged the patient’s prosody qualitatively. SPSS V.28 was used for all statistical analyses (p<0.05). There was a significant correlation between HRS-D with jitter, SD F0, speed of speech, and switching pause means (p≤0.05). The means of CPP and duration of producing emotional sentences differed between the depression and control groups. The HRS-D scores were significantly correlated with switching pauses in patients (Pearson coefficient = 0.47, p=0.05). The results of the perceptual evaluation of prosody judged by six raters showed an 85% correlation between them (p≤0.001). Some acoustic and prosodic parameters are different between healthy women and those with depression disorder (e.g., CPP and duration of emotional sentences) and may also have an association with the severity of depression (e.g., jitter, SD F0, speed of speech, and switching pause means) in women with depression disorder. It was indicated that the best sentence modal to assess prosody in patients with depression would be exclamatory ones compared to declarative and interrogative sentences.

Background: Theory-based tobacco use prevention programs in schools were implemented to evaluate the effectiveness of this peer-led intervention on tobacco use-related knowledge, attitude, normative beliefs, and intention to tobacco use of school children aged 14-17 years old. Methods: A school-based cluster randomized controlled intervention study was conducted among 1st, 2nd, and 3rd grade high school children in Sanandaj City, Iran. 4-h integrated tobacco use prevention program comprising of four structured modules was developed and delivered to the intervention group by trained peer educator. Outcome measures comprised changes in students' smoking-related knowledge, attitude, normative beliefs, and intention to tobacco use from baseline to 6-month follow-up through validated anonymous questionnaire. Results: The present study showed an intervention effect on tobacco use-related knowledge, normative beliefs, and intention to tobacco use but not attitude. The results indicated that there was significant decrease in intention to tobacco use (P ≤ 0.013) observed after 6-month postintervention. The intervention module was also effective in improving smoking knowledge (P ≤ 0.001), normative beliefs with regard to perceived prevalence of cigarette smoking and water-pipe use among adults and adolescents (P ≤ 0.001) in intervention group 6-month postintervention. Conclusions: Participation in the peer-led education program to tobacco use prevention may have improvement in knowledge, normative beliefs, and intention to tobacco use. An implementation of the peer-led behavioral intervention components in the school setting may have a beneficial effect on public health by decreasing intention to tobacco use among nonsmoker adolescents.