Background: Personality traits can be used to predict an individual’s behaviors in different life situations, including marital life situations. Marital satisfaction that is influenced by different factors is a criterion used to assess couples’ relationship quality. The goal of the present study was to review Iranian studies on the correlation between personality traits and marital satisfaction.Methods: In this systematic review, all the related Iranian studies in international databases, including Google Scholar, PubMed, Web of Science (ISI) and Scopus, and national databases, including Scientific Information Database (SID) and MagIran were reviewed. The following keywords and also combinations of them were used to search the databases: “Marital satisfaction,” “Personality traits,” “Personality factors,” “Big five model of personality,” and “Iran.”Results: A total of 18 correlational studies, without any time limitation, with a total sample of 4049, were reviewed. The following correlation coefficients were found between marital satisfaction and personality traits: r = − 0.439 with neuroticism (95% Confidence Interval [CI]: 0.27–0.60), r = 0.833 with extraversion (95% CI: 0.77–0.88), r = 0.777 with openness (95% CI: 0.70–0.84), r = 0.855 with agreeableness (95% CI: 0.80–0.90), and r = 0.90 with conscientiousness (95% CI: 0.84–0.95).Conclusions: Couples high in Neuroticism experience lower levels of marital satisfaction, and couples high in Conscientiousness are more satisfied with their marital life.

Context: Several studies have been conducted on the relationship between depression and metabolic syndrome, which have had conflicting results. The purpose of this study was a meta-analysis of studies that have examined the relationship between these two variables. Evidence Acquisition: This meta-analysis systematically reviewed the relationship between depression and metabolic syndrome. Scientific databases including IranMedex, SID, Magiran, Scopus, PubMed, Google Scholar, and Science Direct were searched and 17 articles were extracted from 2000 to 2014. Selected studies data were analyzed using meta-analysis and random effects model. Heterogeneity between the studies was examined using I2. Data were analyzed using STATA software version 12.1. Results: Seventeen studies were analyzed with a sample size of 31880 people. Analysis by the type of studies showed that the relationship between the two variables in cross-sectional studies (OR = 1.51, CI 95% = 1.36 - 1.68) and cohort studies (OR = 1.6, CI 95% = 1.23 - 2.08) was significant. In general, the heterogeneity test results among the studies was not significant (P for heterogeneity = 0.08, I² = 39.8%). Conclusions: There is a relationship between depression and metabolic syndrome. Keywords: Meta-Analysis; Depression; Metabolic Syndrome

Introduction: Inadequate knowledge on pressure injury (PI) can have a detrimental effect on preventive care strategies. The aim of this study was to assess the overall knowledge of nurses on PI prevention based on their scores on the Pressure Ulcer Knowledge Assessment Tool (PUKAT) and its subscales in different settings. Methods: In this systematic review and meta-analysis, databases including Web of Science, Science Direct, Google Scholar, PubMed, and Scopus were searched, using the following keywords: Pressure Ulcer, Pressure injury, Bedsore, Pressure Sore, Decubitus Ulcer, knowledge, and their possible combinations. Based on heterogeneity between the studies, the data were analyzed using a random effects model. All of the analyses were performed using STATA v.12 software. Results: In all three groups (nurses, assistant nurses, and nursing students), the lowest knowledge scores were for prevention measures to reduce the amount of pressure/shear. Nurses’ knowledge (55.4%, 95% CI: 42.4–68.4) was higher than that of nursing students (52.7%, 95% CI: 3–49.56) and assistant nurses (42.2%, 95% CI: 16.4–68). Conclusion: The overall knowledge of nurses on PI prevention was lower than the recommended level (60%). Regular training courses and review of PI prevention guidelines can be useful in updating the knowledge of nurses, especially assistant nurses and nursing students on PI prevention.

Background: Patients with type-2 diabetes have poor adherence to the therapeutic regime. It can result in various complications in body systems associated with undesirable metabolic control. Purpose: The present study aimed to explore the inhibitors of medication adherence in patients with type-2 diabetes. Patients and methods: This was a qualitative study using a conventional content analysis method. Participants were 12 patients with type-2 diabetes referred to the diabetes unit in Saghez, Kurdistan Province in 2015. The purposive sampling method was used with a maximum variation in sampling, and data collection was continued until data saturation was achieved. Semi-structured interviews were used for data collection. Interviews were recorded and immediately transcribed verbatim. Results: Data analysis led to the development of four main categories including disbelief in medical explanatory/prescriptive knowledge, lived experiences of the disease, challenges of everyday life, and interactive/economic challenges. The main inhibitors were the patient’s understanding of his/her own physical status and strategies used for maintaining the internal balance. Healthcare providers need to take patients’ perceptions into account when they are prescribing medicinal diets. Another inhibitor was the incidents of everyday life, including economic and social challenges, and interactions to receive education and skills for living with the disease. Conclusion: Beliefs of the medical team and patients should be brought closer to each other, and patients’ trust in the medical team should be increased. Nurses should consider the unique experience of every patient when giving healthcare recommendations, and try to limit the existing challenges as much as possible.

Introduction: Prevalence of hypertension (HTN) is increasing in the developing countries like Iran. Various studies have reported different rates of HTN in Iran. The purpose of this study was to estimate an overall prevalence of HTN in Iran. Methodology: Using the English and Persian key derived from Mesh, the databases including MagIran, Iran Medex, SID, Web of Sciences, PubMed, Science Direct and Google Scholar as a searching engine were reviewed: from 2004 to 2018. The overall prevalence of MA was estimated using Random effect model. The I2 test was used to assess the heterogeneity of the studies. Additionally, the quality of studies was evaluated using a standard tool. Publication bias was conducted with the Egger test. Meta-regression and analysis of subgroups were analyzed based on variables such as age, marital status, region and tools. Data were analyzed using STATA 12 software. Results: Analysis of 58 primary articles with a sample size of 902580 showed that the prevalence of HTN in Iran was 25% (with 95% CI of 22-28). The highest prevalence of HTN was related to elderly (42%). The prevalence of HTN was 25% (95% CI: 19-31) in women and 24% (95% CI: 20-28) in men with no significant difference (p = 0.758). The results also indicated that the prevalence of HTN was not related to the year of studies (p = 0.708) or sample size (p = 769). Conclusion: Despite the advancements in science and technology, along with health and prevention of diseases, the overall prevalence of HTN raised in Iran. Since HTN is a silent disease with significant health consequences and economic burden, programs designed to better HTN control seem vital to enhance community health.

Introduction: The link between metabolic syndrome and depression has always been controversial. Different studies that have examined the relationship between metabolic syndrome and depression have reported different results. Therefore, the goal of the present study was to examine the association between depression and MetS by meta-analysis. Methods: Embase, Scopus, PubMed, and ISI were searched for publications in English from January 1990 to February 2020. Search included cohort and cross-sectional studies aimed at examining the association between depression and MetS. The risk of bias was assessed by Newcastle-Ottawa Scale. Heterogeneity and publication bias were tested, subgroup analysis and meta-regression were conducted. Results: 49 studies with total sample size 399,494 were analyzed. Results indicated the odds of MetS was higher in depressed compared to non-depressed individuals [OR: 1.48; 95 %CI: 1.33–1.64) vs. (OR: 1.38; 95 %CI: 1.17–1.64)]. For cross-sectional studies, depressed patients in Europe (OR = 1.35; 95 %CI: 1.47–1.99) were at higher odds of MetS compared to those in America and Asia. For cohort studies, depressed patients in America (OR = 1.46; 95 %CI: 1.16–1.84) were at higher odds of MetS than those in Europe. Cross-sectional studies indicated women with depression were at higher odds of MetS (OR = 1.95; 95 %CI: 1.38–2.74) compared to men. In both types of studies, the odds of MetS decreased with age. Conclusions: Metabolic syndrome is more common in depressed compared to non-depressed individuals.