Chronic PTSD is associated with dyslipidemia, leading to an increased risk of coronary artery disease. Environmental factors and coping strategies should be considered as important factors for the occurrence and persistence of PTSD.

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Learning to read is one of the most important academic accomplishments in the early grades of elementary school. Knowing what factors contribute to reading ability would improve instructional practices. The goal of the present study was to examine the effects of semantic fluency, phonological fluency, rapid naming, inhibitory control, selective attention, and visual motor integration on reading fluency in 140 second and third grade students. The results of this study indica ted that significant predictors of reading fluency were: selective attention, semantic fluency, inhibitory control, and rapid naming. However, the association between predictor variables and reading fluency was moderated by the students' grade. The article concludes with some suggestions on how to improve reading fluency in elementary school children, given that all predictors are susceptible to instruction.

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Since the development of the original Support Intensity Scale—Adult Version (SIS-A) and the Support Intensity Scale—Child Version (SIS-C), the interest in supporting people with intellectual disabilities (ID) has changed. Resource allocation, better quality of resource utilization in the rehabilitation process, the development of support systems, and redefining the roles of organizations that support people with ID are just some of the changes. The aim of this study was to determine the factor structure of the SIS-C conducted on a sample of Bosnian–Herzegovinian (B&H) children (SISC B&H). The study included 377 children ID in B&H, aged 5-16. The data was analyzed with the SPSS 21 software (with the AMOS package). Exploratory factor analysis (EFA) was used to examine the factor structure of the SIS-C. Confirmatory factor analysis (CFA) was applied to determine the factor and constructive validity of SIS-C B&H. The CFA results indicated a poor fit of both the theoretical and empirical models even after modifications were made. The EFA showed the opposite results. This could be explained by the fact that within the factor solutions obtained from the EFA, various aslope or orthogonal models, linear or hierarchical, can be constructed. Among these models, some exhibited good fit to the data. Thus, data from the current study could be used to generate new hypotheses and deliver more conclusive answers.