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Introduction: One of the most common problems among children and adolescents who suffer from SPD is having a deficiency in interpersonal relationships. Aim: The current study aims to investigate the Persian version of psychometric properties of the ERQ and social skills among children and adolescents who suffer from SPD. Method: This study was applied and developmental in terms of aim and psychometric type, respectively. The population included all the patients with SPD in Tehran city in 2020-2021, from which 222 children and adolescents with SPD were selected by available sampling. Three scales of Emotion Regulation and Social Skills (2015), Social Interaction (2003), and Social Skills (1983) were used to collect the data. Besides, mean, standard deviation (SD), exploratory factor analysis, confirmatory factor analysis, convergent validity, divergent validity, and SPSS-24 and AMOS-19 were run to analyze the data. Results: The result of factor analysis confirmed that the questionnaire is single-factor and explained 0.54 of that. The reliability was checked via Cronbach’s alpha for the total questionnaire (0.97), and the convergent validity of the parents’ form of this questionnaire was checked by social skill (0.63) and social interaction (0.49). This indicated the criterion and concurrent validity of this questionnaire. Conclusion: The results of this study showed the efficiency of psychometric properties of ERQ and interaction skills, considering the diagnosis of emotional and social features of SPD children. Future studies can use this measure for diagnostic and therapeutic purposes among patients with SPD.

The quality of nursing work life is an important index for assessing the professional health of nurses and providing tailored care services to patients. The study investigates the role of work-family conflict and self-regulation in predicting the quality of work-life among nurses. In this retrospective cross-sectional study, 230 nurses were selected randomly from public and private hospitals. They were asked to fill out Work-related Quality of Life Scale-2, Work-Family Conflict Scale, and Self-Regulation Questionnaire. Moreover, structural equation modeling was used to analyze the data by SPSS-19 and LISREL-8.80 software. The results showed that the model had a good fit to the observed data (RMSEA=0.06, GFI=0.93, AGFI=0.87, NFI=93, CFI=95, IFI=95, and P-value=.073) and the final model was verified. The results also revealed that “behavior-based and time-based work-family conflicts”, “assessing the plan’s effectiveness”, “searching for options”, and “implementing the plan” could significantly predict “stress at work”, “general well-being”, “working conditions”, employees’ engagement”, “job career satisfaction”, and “work-home interference” (p