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CONCLUSIONS We estimated consistent and immediate positive associations between daily suicide and daily change of elevated ambient temperature and duration of sunshine in a high rated area of Hungary.BACKGROUND Depression is a common mental health disorder which has become a global public health issue. It constitutes around 35 to 45% of mental health problems in Iran and covers 8% to 20% of population of Iran. Therefore, the present study aimed to determine the prevalence of depression among the Iranian patients through systematic review and meta-analysis. METHOD For the present study information were searched in Web of Science, Scopus, PubMed, Google Scholar, and in Iranian databases including Iran Medex, SID, MedLib, Scientific Information Database, MagIran, using the following keywords "depression", "prevalence" and Iran. The data from these databases were analyzed through meta-analysis (random effects model). Heterogeneity among the results of the studies was examined by I2 index. Beck Depression Inventory (BDI), Depression Anxiety and Stress Scale-21 (DASS-21), General Health Questionnaire-28 (GHQ-28), and Geriatric Depression Scale (GDS) were used in this study, and statistical analyses were performed using STATA Ver.16. RESULTS A total of 46 studies conducted in Iran based on a sample size of 2960 individuals was found during the time period of 2010 and 2018. Prevalence of depression among Iranian patients was estimated to be 34.26 (95% CI, 24.12% - 44.10%). Thus, the findings indicated that there exists a moderate prevalence of depression which is continuously growing. CONCLUSION The prevalence of depression in Iran is moderate and growing which is alarming as it may turn out to be a massive increase in incidence rate of depression in coming years. This indicates a greater risk for Iranian population and calls for effective measures to be taken to control the mental health problems among Iranian patients.Discovery and development of the selective serotonin reuptake inhibitors mark a milestone in neuropharmacology. Drugs from this class alter the functioning of the serotonin system by the potentiation of serotonin through the negative allosteric modulation of its neuronal uptake by the human serotonin transporter. Selective serotonin reuptake inhibitors show few side effects compared to those caused by traditional antidepressants and they vary in the binding interactions formed during binding. Generally, their binding involves three specific regions of the drug structures, each participating in vital interactions, such as salt bridge formation and additional hydrophobic interactions with conserved residues in the central binding site of the target protein. Side effects, however, such as the initial lack of response to treatment, or drowsiness, nausea, and sexual dysfunction occasionally may arise. Additional binding studies, furthermore, highlighted the importance of enantioselectivity in the binding of these compounds, raising concerns about the beneficial application of racemate mixtures of some of these compounds. Therefore, additional characterisation of binding and further structural improvement of this class of drugs is necessary. The recently synthesized sertraline salts, and functional derivatives of fluoxetine and citalopram show promising results in delivering antidepressant activity as well as in effectively overcoming anorexigenic side-effects in rodent models. Hence, despite certain non-desired effects associated with selective serotonin reuptake inhibitor applications, this class of drugs is considered as first-line medication in the management of major depression, and is carrying an excellent potential for the development and refinement of the currently available and novel antidepressant therapies.BACKGROUND Systemic sclerosis (SSc), or scleroderma, is a rare disease that often results in significant disruptions to activities of daily living and can negatively affect physical and psychological well-being. Because there is no known cure, SSc treatment focuses on reducing symptoms and disability and improving health-related quality of life (HRQoL). Self-management programs are known to increase self-efficacy for disease management in many chronic diseases. The Scleroderma Patient-centered Intervention Network (SPIN) developed a Web-based self-management program (SPIN self-management; SPIN-SELF) to increase self-efficacy for disease management and to improve HRQoL for patients with SSc. OBJECTIVE The proposed study aims to assess the feasibility of conducting a full-scale randomized controlled trial (RCT) of the SPIN-SELF program by evaluating the trial implementation processes, required resources and management, scientific aspects, and participant acceptability and usage of the SPIN-SELF program. METHODSrch Protocols (http//www.researchprotocols.org), 24.04.2020.BACKGROUND Online support groups (OSGs) are one way for people with chronic diseases, their family or friends, and health professionals to communicate, gain information, and provide social support. learn more As the number of peer-to-peer OSGs for chronic musculoskeletal conditions grows, it is important to gain insight into the different designs of groups available, who is accessing them, if and how they may be effective, and what strategies are being used to implement or increase consumer engagement. OBJECTIVE The objectives of this systematic review of people with musculoskeletal conditions were to (1) describe the design features (functions, usage options, moderation, and expert input) of peer-to-peer OSGs, (2) describe the characteristics of the individuals using peer-to-peer OSGs, (3) synthesize the evidence on outcomes of participation, and (4) identify strategies used in the delivery and maintenance of OSGs. METHODS A search comprising terms related to the population (people with musculoskeletal disorders) and toutcomes for people with chronic musculoskeletal conditions resulting from participation in OSGs. TRIAL REGISTRATION PROSPERO International Prospective Register of Systematic Reviews CRD42018090326; https//www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42018090326. ©Liam R Maclachlan, Kathryn Mills, Belinda J Lawford, Thorlene Egerton, Jenny Setchell, Leanne M Hall, Melanie L Plinsinga, Manuela Besomi, Pek Ling Teo, Jillian P Eyles, Rebecca Mellor, Luciano Melo, Sarah Robbins, Paul W Hodges, David J Hunter, Bill Vicenzino, Kim L Bennell. Originally published in the Journal of Medical Internet Research (http//www.jmir.org), 24.04.2020.