Severe mental disorders as bipolar disorder and schizophrenia often co-occur with chronic medical illnesses, especially cardiovascular disease and diabetes. Our aim was to estimate the prevalence of physical health problems in hospitalized patients and to determine the sociodemographic and clinical factors associated with physical comorbidity.

The medical records of all inpatients followed up between September 2007 and September 2009 were reviewed retrospectively.

144 patients were evaluted of which 59 (%41) had schizophrenia, 31(%21.5) had bipolar disorder and 54 (%37.5) had other disorders. 43 (%29.9) patients had at least one medical illness, hypertension being the most common (%30) followed by thyroid disorders (%16) and diabetes mellitus (%11). Diabetes Mellitus was detected only in bipolar patients (p=0.005). Females were affected more than males regarding physical comorbidity (p=0.009). Patients with physical comorbidity were older (42.9 vs 35.54 yrs) and had a longer duration of illness (16.2 vs 10.0 yrs). Their hemoglobin levels were lower, blood glucose, urea, thyroid stimulating hormone levels were higher than the patients with no physical illness and the differences were all statistically significant (p=0.05). There was no difference regarding length of hospital stay, drug compliance, previous neuroleptic use, family history for medical and mental illness.

Conclusions: Although it is generally accepted that many physical conditions have been associated with serious mental disorders, the exact nature of the relationship between them is still unclear. Further research is required to identify medical comorbidity risk factors in order to improve the physical health of these patients.

Boundary violations and boundary crossings have been constantly ignored in clinical settings due to its sensitive nature. Recent studies have identified several number of boundaries identified through quantitative and qualitative research. Large instruments have been developed for detecing boundary excursions in clinical settings. Rasch modeling offers a ground-breaking method for validating such large instruments.

The aim of this study is to introduce Rasch analysis features that enable to study large instruments like clinical boundary excursion questionnaire in a psychiatry setting.

An 88 item boundary excursion questionnaire was administered among 50 subjects during the period Jan-May 2008. Eligibility criteria for subjects included physicians, nurses and healthcare staff working in Psychiatry department at Rumeilah Hospital. Data was analysed using the Winsteps software.

The boundary excursion questionnaire showed high reliability. The instrument also showed high unidimensional construct according to rasch analysis with only few items violating the criterion for unidimensionality.

Rasch analysis provides signigicant amount of information to researchers regarding the presence of invariance and mesearurement of separation of items which are otherwise not detected in traditional analysis. The advantages of the using rasch map given large number of items are further discussed.

To determine the prevalence of DSM-IV psychiatric disorders in a representative sample of children and adolescents living in Santiago, Chile, as part of a national sample.

subjects from 4 to 18 years of age were selected in an aleatory stratified multistage fashion. As part of a national sample, 10 counties in Santiago were selected, then blocks, homes and the child or adolescent to be interviewed. Psychology graduate students applied the Spanish computer version of DISC-IV, as well as a questionnaire on family risk factors, socioeconomic index and service use.

a sample of 792 children and adolescents was evaluated, obtaining 76.7% of participation. Using the most stringent impairment algorithm, the prevalence for any psychiatric disorders was 25.4%, being 20.7% in boys and 30.3% in girls, mainly explained by anxious and affective disorders. Prevalence was higher in the 4-11 years of age than in the 12-18 (31.9% and 18.2% respectively). This difference was mainly accounted for by disruptive disorders. Prevalence of anxious disorders was the highest, but less associated with impairment, while most of the children and adolescents with affective disorders were impaired.

prevalence of psychiatric disorders in Santiago is high in this age group, and this study will be used for improving mental health services.

Depression seems to be an important clinical risk factor for the prediction of suicide attempts, similar to risk factors such as substance use disorders and borderline personality disorder. All of these factors share the same diathesis for increased impulsivity and suicidal ideation, which could explain comorbidity and suicidal behaviour (Pezawas L et al., 2002). Insufficient treatment of depression is one of the most important causes of suicide (Althaus D et al., 2007).

1. - The occur of suicidal behaviour (thoughts or attempts) - with focus on type of depressive disorder, age, gender, treatment and changes in the frequency of suicidal behaviour compared to a baseline

2. - The number of suicidal behaviour (thoughts or attempts) during depression

1. - Outpatient's files with depression from all Slovakia regions during 3 months in comparison with past

2. - Depressive disorder, n = 2570 (female 1800, male = 770) (DSM-IV), average age = 49 years

3. - 3090 questionnaires from 200 psychiatrists

1. - Every third patient with depression - suicidal thoughts and every tenth patient

2. - suicidal attempt (male more as female, NF)

3. - We observed the most frequent suicidal behaviour in patients with depression: 41 - 60 years (21 - 20 years)

4. - It was interesting: decreasing of consumption of hypnotics - decreasing of suicidal behaviour (SF), increasing of consumption of antidepressants - decreasing of suicidal behaviour (NF)

The eating disorders are a group of complex psychiatric disorders, severe and frequent medical complications.

symptoms occur along a continuum between the extremes of anorexia and bulimia nervosa. so, we found that more than half of patients develop anorexic and bulimic symptoms that many bulimic patients have a history of anorexia.

We analyzed sociodemographic and clinical variables of a sample of patients attending our clinic within the study period from January to September 2009.

We performed a retrospective descriptive study with data collected from the medical records of 42 patients treated in our mental health center within the study period, who met diagnostic criteria for eating disorders.

Regarding the demographics variables, most of the sample are women (96%), average age 23.5 years, single marital status (54.8%), from middle class (74.1%).

in relation to family history, 53.8% in any family member with pathologies, where mothers have the highest percentage. in personal ancedentes, we found that 35% had childhood obesity and anorexia in 14% of children.

the average age of disease onset was 15.6 years. 66.8% of the sample had had bulimic behavior and the majority (92%) compensatory behaviors.

The eating disorders are a group of chronic and severe. data analysis of our sample showed a profile similar to those provided by epidemiological studies: most women, single, between 10 and 25 years, middle class. Have symptoms frequently comorbid anxiety and depression.

There is no epidemiological study in France, that's why we make an epidemiological study on the prevalence of pathological gambling.

We wanted to study the prevalence of pathological gambling in a sample of 529 persons: 368 gamers of Pari Mutuel Urbain and La Française des Jeux, and 161 persons in the general population.

We used as instruments: SOGS for screening of pathological gambling, BIS-10 for impulsiveness's evaluation, HAD scale to assess anxiety and depression and ASRS for the evaluation of attention deficit disorder / hyperactivity disorder.

The results show that the rate of pathological gambling in general population is 1.24% (this result is similar to those found in other countries such as Quebec)

Men are overrepresented in the group of pathological gamblers (88.9%), also with consumption of alcohol and tobacco. Depression and anxiety are particularly high, 40% of JPs with an anxiety score significantly higher.

It would be necessary to establish follow-up studies of populations and patients as well as specific studies on people who frequent casinos, racetracks and Internet gambling. Almost 20% of players have a gambling problem or risk and these people do not consult despite their psychological problems, family, work, debts…

Evidence has been accumulating for association between PD and addiction in case report, retrospective and epidemiological study but generally focused on only one substance/behaviour and without taking any comparison group. The central question is PD patients are they prone to addictive behaviours more than general population do?

A cross-sectional, self questionnaire-based study was undertaken. The self-report (AUDIT, Fagerström, TDAS, SOGS…) explored addictions with substance (alcohol, tobacco…) or without (gambling, sex) in PD patients and healthy controls, mood disorders were also evaluated.

After screening full filed questionnaire and appropriate age- and sex-matched controls, we obtained 115 patients and controls. Dopamine dysregulation syndrome (DDS) is described in the total PD patients population (n=139).

We found a higher prevalence of smokers and positive for harmful drinking or alcohol dependence in the control group than in PD patients (2.6% smokers, 6.4% for alcohol). There is more over no significant differences between the two groups concerning gamblers prevalence. Pathologic hypersexuality prevalence is 1.8% in PD group (no case in controls) and 11.5% for DDS. Anxiety disorders in PD patients with DDS are more frequent than in PD patients without and 3 patients develop another addiction besides DDS.

Compared with general population and against all expectations HS and PG prevalence seems not to differ. However, the DDS seems to be a frequent syndrome which draws our attention to better screen this problem, especially taking into account the fact that anxiety appears to be closely link to it.

To examine rates of nonmedical use (NMU) of prescription extended-release (ER) amphetamines and ER methylphenidate, relative to availability.

Prescribing data were acquired from IMS Health. Data relevant to ER amphetamine and ER methylphenidate were collected from two studies in the RADARS® (Researched Abuse, Diversion and Addiction-Related Surveillance) System (Q3 2007-Q2 2009). First, the Drug Diversion System provides a law enforcement perspective based on surveys of diversion investigators throughout the US. Second, the Poison Center System provides data on exposures to prescription drugs based on spontaneous calls. RADARS System data are presented as rates per 1,000 Unique Recipients of Dispensed Drug (URDD) to account for drug availability.

From July 2007-June 2009, 18,315,404 prescriptions were filled for ER amphetamines, 26,674,152 for ER methylphenidate. RADARS System Drug Diversion trends nearly overlap for ER amphetamine and ER methylphenidate, relative to URDD (running average of 0.042 vs. 0.024 drug diversion reports per 1,000 URDD). Similarly, trends in RADARS System Poison Center calls are generally similar for ER amphetamine and ER methylphenidate, although ER amphetamine trends slightly lower (running average of 0.15 vs. 0.22 intentional exposures per 1,000 URDD).

Trends from the US RADARS System, which controls for utilization rates, suggest diversion and poison center call rates are similar for ER amphetamine and ER methylphenidate.

Supported by funding from Shire Development Inc.

In Andalucia (Spain), exist a high prescription of antidepressants, joined to an elevated variability in the choice of it.

To describe associated variables with the prescription of antidepressants in Andalucia. To determinate percentage of depresive disorder in antidepressants users.

Observational, descriptive

Primary Health Care, with Health Centers of Andalusian Community participating.

Patients older than 18 years old, users of antidepressants. The inclusion in the study will require informed consent by the patient.

Sociodemographics; Familiars and Personals precedents of mental disorders; number and duration of episodes in which it has taken antidepressants; Hamilton anxiety-depression index; Beck‘s depression index; Diagnosis of depressive disorder or another with need of antidepressant treatment; Comorbility ; Origin of the presciption. Variables in relation with the prescriptor will be mesurement.

It is calculated by accepting a signification level of 95%, and a percentage of depresive disorder over antidepressants users unknowed (p = q = 50%). A sample size of 770 patients is estimated, including losses.

Determinations will be carried out through descriptive statistics; frequency distribution, dispersion and central tendency measurements. A measurement of possible associations between variables through contrast of hypothesis test will also be calculated. So, Pearson's chi-square test for qualitatives variables and analysis of variance (ANOVA) for quantitatives. The study will be finished studig association between potentials variables existing in antidepressants users and depression diagnosis through model of binary logistic regression.

Present study shows the socio-demographic and clinical profile of patients with severe mental illness in Mancha Centro health area. Furthermore, it is a descriptive approach to the current state of clinical assistance in the area.

Socio-demographic and clinical variables were collected in a sample of 55 patients, 37 men and 18 women with severe mental illness, treated at the Mancha Centro Mental Health Centre. Using SPSS.15, analysis of qualitative and quantitative variables was made.

Average age was 39, 25 years +/− 8, 82; 72, 7% lived with their families and 85, 5% had the support of relatives. Main diagnosis were: psychotic disorder (81,2%) with high proportion of schizoaffective disorder; mood disorders (9,1%), personality disorders (5,5%) and OCD (3,6%). In the last two years, 25, 5% was admitted in a medium-stay psychiatric unit, 15% in a short- time stay psychiatric unit and, in the last six months, 4% came to emergency service. Patients with higher number of admissions and emergency consultations were those with schizophrenia and schizoaffective disorder. The average time of follow up was 10 years (+/− 6, 84), every 49, 45 days (+/− 19,1). 80% receive group therapy, 85,5% family intervention and 54,5% cognitive rehabilitation.

We found a profile of young man with significant family support, low number of admissions and emergency consultations. Results could be in relation to: geographical dispersion, emergency access difficulties and protective socio-cultural factors. Better knowledge about needs would allow a better assistance in the future.

To determine the incidence of delirium in those patients presenting to a psychiatric clinic in Nigeria and to examine if any demographic or clinical variables were correlated with this diagnosis.

To determine the incidence and correlates of delirium in patients referred to a psychiatric clinic in Nigeria

A prospective survey design. 264 consecutive new referrals to a psychiatric clinic in Nigeria were assessed for the presence of delirium using a standardised diagnostic scale. Data was analysed for normality and appropriate statistical test employed to examine the relationships between the presence of delirium and demographic and clinical variables.

18.2% of individuals presenting to the mental health clinics had delirium. No demographic variable was significant regarding the presence or absence of delirium. With regards to clinical variables duration of current symptoms, referral source, and the presence of co-morbid physical illness were significantly associated with the presence of delirium. Most delirium was due to infections. Nearly all patients with delirium were prescribed psychotropic medication (95.2%) and most attributed their symptoms to a spiritual cause.

Delirium presents more commonly to psychiatry services in the less developed world compared to the West. Development efforts should focus on recognition and management of delirium to improve outcomes and maximise resources.

The spread of drug abuse in our country was influenced by many factors, and as the most important are the following social factors caused by changed conditions of life increase in delinquency and deviant behavior, and a new style of life, loss of cultural identity, conflict, feeling of insecurity and helplessness, which can be encouraged and by influential groups in the environment.

1. The aim of this work is an indication of socio-demographic characteristics of addicts in our clinic, and view profiles addicts Šumadija district.

We used the following medical documentation:

1. Ø history of disease addicts

2. Ø protocols examined and treated addicts in this institution from 2002 - 2006. year.

Following some socio-demographic characteristics of drug addicts treated in our clinic, we came to the profile of addicts Šumadija county:

1. Ø these are the people in the age of 20 - 30 years

2. Ø male

3. Ø from the urban environment

4. Ø without rešenog marital status

5. Ø without the employment relationship

6. Ø hospital treated several times, who because of his behavior asocijalnog came into conflict with the law

2. The obtained profile of addicts should provide adequate treatment of this disease and to point out that drug addiction is a medical, but also a sociological problem.

3. Only adequate preventive measures such as teaching in elementary and secondary schools, in the form of various discussions, through the media where they would be included all the relative factors (SO, Red Cross, Center for social work, police, judiciary and others) can give results in the fight against this disease.

In 1984 the Psychiatric Andalusian Reform began, with the objective of replacing the institutionalization manicomial system with an alternative model of integrated network of services, based on the community. This carried a dramatic reduction of inpatient beds and subsequent increase in pressure on available beds in hospitalisation units, as well as the appearance of a higher risk of readmission.

The purpose of this retrospective study is to identify clinical and demographic variables that correlated with readmission in our Psychiatry Unit, over a two year period (from January 2006 to December 2008).

Data were abstracted from medical records for retrospective analysis. Repeat users were defined as those individuals receiving two or more inpatient admissions to our Psychiatry Unit during the study period. Statistical comparisons were made between repeat and single admission groups to identify variables predictive of rehospitalization, such as age, gender, diagnosis, comorbidity of mood and personality disorders, alcohol dependence / abuse, number of previous admissions, number of compulsory admissions, length of admission and treatment among others.

Most important predictors for readmissions included age, previous psychiatric admission, alcohol and illegal substance dependence / abuse, comorbidity of personality disorder and early drop-out of treatment.

Our results indicated that there are several factors involved in a higher risk of readmission in our Psychiatry Unit. By identifying predictors of readmission and intervening appropriately, unnecessary readmission may be prevented.

It has been recognised that poor sleep quantity (i.e. short sleep duration) is associated with an increased risk for physical and mental diseases. However, there have been fewer studies on the associations of poor sleep quality with physical and mental health.

The subjects were 3684 (2471 males and 1213 females) employees aged 20-65 working in local government in Japan. A questionnaire survey was conducted in January 2003. Sleep quality and physical and mental health were evaluated using Pittsburgh Sleep Quality Index (PSQI) and Short Form 36 (SF-36), respectively. Logistic regression analysis was used to evaluate whether each subscale of PSQI was independently associated with poor physical and mental health (the lowest 25 percentile of the Physical and Mental Component Summary (PCS and MCS) Scores of SF-36), after adjustment for potential confounding factors.

Subjective sleep quality, sleep disturbances, use of sleep medication, and daytime dysfunction were significantly associated with poor physical health. Subjective sleep quality, sleep latency, sleep disturbances, and daytime dysfunction were significantly associated with poor mental health. The associations of subscale scores of poor sleep quality with health were relatively stronger for poor mental health than for poor physical health. Sleep duration (i.e. sleep quantity) was not associated with poor physical and mental health.

Some of the poor sleep quality measures were independently associated with both poor physical and mental health of Japanese civil servants. Longitudinal study is necessary to confirm the causal relationships between sleep quality and health.