Psychiatry, as we know it, is at a crucial point because it needs to adapt to the modern time and still maintain the integrity and ethic aspects of the therapeutic alliance. Bearing in mind the rising prevalence of new addictions like Internet and online gaming addictions, one can see that, however, disputed, there is a whole new category of psychiatric illnesses on the rise. An example of these kinds of illnesses is Hikikomori. Hikikomori, or severe social withdrawal, pertains to patients who have stopped participating in everyday routine and would spend the majority of time confined in their room for the period of 6 months or more, with no evident psychosis. Although this syndrome was originally described in Japan, over the course of last few years it has been documented in several parts of the world, spreading like a silent epidemic. Our case study, being the first documented case in Southeast Europe, according to our experience and literature search, is a vivid example of this syndrome. In this report we discuss differential diagnosis, show what kind of therapy was efficient in the successful treatment of this syndrome and how it can be prevented in the future
The confounding influence of meteorological parameters on human health and behavior has been widely observed from ancient history onwards. Intentional selfharm emergency admissions are critical issues among the general population and are classified among the leading causes of death and injuries worldwide. Approximately 3 million individuals die by suicide each year (Nock et al. 2008).The aim of this research was to test the hypothesis of a positive association between meteorological parameters and self-harm incidents. It was tested in the Krapinsko-zagorska county, Republic of Croatia, that includes about 130,000 inhibitans. This study is based on retrospective evaluation of intentional self-harm admissions to Emergency Medical Departments in Krapina-Zagorje County, Croatia, registered in one year (between April 2012 and March 2013).This study differentiates days with no emergency admissions and days with at least 1 emergency admission using a categorical binary outcome. The binary outcome was compared with the meteorological conditions on that specific day and meteorological conditions on the preceding day. The meteorological parameters were considered as possible predictors and were based on data collected by the Meteorological and Hydrological Service of Croatia. The parameters included temperature measured at 7 AM (°C), temperature measured at 2 PM (33°C), maximum, daily temperature (°C), minimum daily temperature (°C), temperature amplitude (°C), humidity measured at 7 AM (%), humidity measured at 2 PM (%), pressure measured at 7 AM (hPa), pressure measured at 2 PM (hPa), cloud cover at 7 AM and cloud cover at 2 PM (decas), mean wind speed (m/s) and season (categorical variables).Most of the emergency admissions occurred during winter (33.33%) and spring (30.16%), while lower emergency admission frequencies were recorded during summer (19.05%) and fall (17.46%). Air pressure at 2 PM is significantly negatively related to emergency admission odds. An increase of 10 hPa in air pressure at 2 PM was accompanied by a 78.17% decrease in emergency admission odds and this decrease could be as little as 0.3% or high as 95.2% with a 95% confidence interval (while keeping all other variables in the model constant). Mean daily wind speed is significantly related to emergency admission odds. The relationship is nonlinear in logit, thus the effect must be described at each level. The emergency admission odds are positively related to mean wind speed for mean daily wind speed up to 2.539 m/s. At wind speed of 1 m/s, an increase in 1 m/s in wind speed was accompanied by 63.35% increase in emergency admission odds and this increase could be as little as 3.92% or high as 156.78% with a 95% confidence interval (while keeping all other variables in the model constant). The emergency admission odds are negatively related to mean wind speed for mean daily wind speed higher than 2.539 m/s. Moreover, at wind speed 5 m/s, an increase in 1 m/s in wind speed was accompanied by 99.63% decrease in emergency admission odds and this decre...
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.