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039, binary logistic regression p = 0.027, OR = 0.28, 95%CI = 0.09-0.86). In survival analysis, SVC and PV isolation group was also associated with improved freedom from ATs (log-rank test p = 0.017, Cox regression p = 0.026, HR = 0.31, 95%CI = 0.11-0.87).

Superior vena cava isolation with the CB in addition to PVI might improve freedom from ATs if compared to PVI alone at 1-year follow-up.

Superior vena cava isolation with the CB in addition to PVI might improve freedom from ATs if compared to PVI alone at 1-year follow-up.

The course and corresponding characteristics of quality of life (QOL) domains in trauma population are unclear. Our aim was to identify longitudinal QOL trajectories and determine and predict the sociodemographic, clinical, and psychological characteristics of trajectory membership in physical trauma patients using a biopsychosocial approach.

Patients completed a questionnaire set after inclusion, and at 3, 6, 9, and 12months follow-up. Trajectories were identified using repeated-measures latent class analysis. The trajectory characteristics were ranked using Cohen's d effect size or phi coefficient.

Altogether, 267 patients were included. The mean age was 54.1 (SD = 16.1), 62% were male, and the median injury severity score was 5.0 [2.0-9.0]. Four latent trajectories were found for psychological health and environment, five for physical health and social relationships, and seven trajectories were found for overall QOL and general health. The trajectories seemed to remain stable over time. For each QOL domain, the identified trajectories differed significantly in terms of anxiety, depressive symptoms, acute stress disorder, post-traumatic stress disorder, Neuroticism, trait anxiety, Extraversion, and Conscientiousness.

Psychological factors characterized the trajectories during 12months after trauma. Health care providers can use these findings to identify patients at risk for impaired QOL and offer patient-centered care to improve QOL.

Psychological factors characterized the trajectories during 12 months after trauma. Health care providers can use these findings to identify patients at risk for impaired QOL and offer patient-centered care to improve QOL.

No previous study has used a data-driven approach to explore symptom subclasses among patients with lower urinary tract symptoms (LUTS). The objectives of this study were to use latent class analysis (LCA) to identify distinct classes of LUTS among primary care patients and to assess the class differences in health-related quality of life (HRQOL).

In this cross-sectional study, 500 patients were randomly recruited, and 18 symptoms according to the International Continence Society 2002 criteria were assessed. Classes were identified by LCA. Patient HRQOL was measured using the 12-item Short Form Health Survey (version 2), the modified Incontinence Impact Questionnaire-Short Form and the HRQOL item from the International Prostate Symptom Score.

Six distinct LUTS classes were identified "asymptomatic" (26.0%), "mild symptoms" (22.6%), "moderate multiple symptoms" (17.0%), "urgency symptoms" (13.8%), "urinary incontinence" (12.0%) and "severe multiple symptoms" (8.6%). Multinomial regression analysis found differences in the gender distribution and prevalence of heart diseases across classes, and multiple linear regression found that patients with "severe multiple symptoms" and "urinary incontinence" had the poorest HRQOL.

Almost three quarters of the primary care patients in this study were suffering from varying degrees of LUTS. The poor HRQOL in "severe multiple symptoms" and "urinary incontinence" implies that patients in these classes require additional attention and treatments.

Almost three quarters of the primary care patients in this study were suffering from varying degrees of LUTS. The poor HRQOL in "severe multiple symptoms" and "urinary incontinence" implies that patients in these classes require additional attention and treatments.

Severe restrictions related to COVID-19 were implemented almost simultaneously in Italy and Israel in early March 2020, although the epidemic situation in both countries was significantly different. Therefore, the purpose of this study was to examine how and to what extent the severe restrictions affected the mental health and health-related quality of life of non-infected people, in a comparison between Israel and Italy.

A cross-sectional study was conducted during the first week of May 2020 among 510 Israeli and 505 Italian participants. Anxiety and depression levels were measured using the Patient Health Questionnaire-4 (PHQ-4), and the short form-8 health survey (SF-8) questionnaire measured health-related quality of life. Linear hierarchic regression forced steps analysis was performed to measure the unique contribution of each variable to predicting health-related quality of life.

After adjusting for socioeconomic variables, the results showed a significantly higher anxiety level and lower health-related quality of life in the Italian participants. The anxiety and depression variables predicted lower health-related quality of life. Physical activity was found to be a protective factor.

The results suggest that early monitoring of anxiety and depression in situations such as quarantine may detect the risk for decline in health-related quality of life. Establishment of professional interventions is needed in order to prevent the negative health consequences of the pandemic-related policy.

The results suggest that early monitoring of anxiety and depression in situations such as quarantine may detect the risk for decline in health-related quality of life. Establishment of professional interventions is needed in order to prevent the negative health consequences of the pandemic-related policy.

This study aimed to explore gender differences among sedentary occupation workers with regard to their quality of life (QoL), physical activity, and risk for high blood pressure, and to identify factors associated with QoL.

A convenience sample of 2562 employees from randomly selected ten ministries in Kuwait completed self-administered questionnaires. Collected data included employees' socio-demographic characteristics, levels of QoL (using World Health Organization QoL-Brief tool), and physical activity (using the New Zealand Physical Activity Questionnaire Short Form), and anthropometric measures of weight, height, and blood pressure. read more Multinomial regression analysis, Chi-square, ANOVA, and student's t tests were implemented. A p value of 0.05 was considered significant.

Participants' mean age was 35.3years. QoL mean scores were total QoL (74.7), physical health (81.1), psychological health (75.4), social relationship (71.1), and environment (70.8). Females showed worse level of QoL, better physical activity, and higher prevalence of hypertension relative to males.