Background: In Canada, industrial wind operations are important parts of the country’s long-term energy strategy and Wind Turbines (WTs) are represented as environmentally friendly projects; however, suspected health-related effects of exposure to WT noise have attracted much public attention. Sleep disturbance and degraded Health-Related Quality of Life (HRQoL) have been among the most common complaints reported by residents living close to wind farms.

Objective: The objective of this study was to evaluate the association between changes in sleep quality and HRQoL among residents living close to wind farms.

Methods: Pre- and post-natural experiments were conducted with two data collection periods, before and after WTs became operational; sleep quality was measured by using the Pittsburgh Sleep Quality Index (PSQI), and HRQoL was measured using the 12-item Short Form (SF-12) Health Survey of 50 participants.

Results: Changes in the SF-12 mental component summary (ΔMCS) were correlated inversely with the changes in PSQI score (ΔPSQI, Spearman’s correlation r_S= -0.595). The median values for ΔMCS were significantly associated with ΔPSQI (p=0.039) after controlling for age, sex, distance and attitude to WTs, in a quantile regression analysis.

Conclusion: Changes in sleep quality reported by residents living nearby WTs were a significant independent predictor of the degraded mental health domain of HRQoL.

In Japan, there is a recognized need for further research into stigma in the workplace toward persons with mental illness. Toward that end, I will discuss here two studies that we have conducted with the aim of (I) elucidating the stigma experienced in the workplace by persons with mental illness, and (II) elucidating employers’ attitudes toward persons with mental illness.

International literature has detected high levels of academic stress in students of universities and colleges, which manifests itself with clinical symptoms [1] and constitutes an obstacle to the activation of adaptive, functional and coping responses

It is known that edema is a rare side effect of quetiapine. Until now only nine cases of peripheral edema related to quetiapine have been reported in the literature. We have determined five cases of pretibial edema associated with quetiapine during two years period of time. The common feature of these cases reported here are comorbid medical disorders, such as venous insufficiency, bladder tumor, chronic obstructive pulmonary disease, diabetes mellitus with excessive elevation of blood sugar. Although treatment protocol of edema and those comorbid medical diseases have been applied separately, at the end of these treatments it is seen that PTE has not been resolved. In all cases reported here that when the dose of quetiapine is reduced, it is observed that PTE is reduced or disappeared. This result brings to mind that there could be a relation between edema and quetiapine.

T he scientific literature has highlighted how the incoming and outgoing transitions through the university represent stressful moments for students. Generally, an adaptation of one’s self it’s needed

War, quarrel, and some conflict were devastating. In some family for reasons of emotion, influence by other people, ideology, honor, politics, geography or the simple environment, elder brother can find themselves on opposing sides of a war and force them to be in facing battlefield. If we searching the reason for the quarrel between incent brothers, there may be the negligible reason. In straightforward, reasons for the quarrel were not very big.

Acute psychiatric illness is associated with alterations of serum thyroid hormone levels including normal or high T3 levels and elevated T4 levels with normal or high TSH that have no clinical signs or symptoms and resolve within 2 weeks. This phenomenon is called euthyroid hyperthyroxinemia. We present a case of primary hyperparathyroidism contributing to a patient’s depression with psychosis that developed euthyroid hyperthyroxinemia. We also review the literature to present current thoughts about pathophysiology and treatment.

This study investigated potential correlation between the inflammatory marker, Calprotectin, and a S.O.S questionnaire from forty-nine Autistic children. Symptom and behavioral questionnaires were completed contemporaneously with stool sample collection. Mixed Model data analysis showed strong correlation between some questionnaire parameters and Calprotectin. ‘Need for a fixed routine’ was highly significantly correlated with Calprotectin (????<0.00009) with Multivariate Coefficient of 3.227, whilst paradoxically ‘constipation’ indicated significant change (????<0.02) with negative Multivariate Coefficient (-1.584). The negative ‘constipation’ appears to associate with the positive ‘need for a fixed routine’ indicating possibility of reciprocal, independent prediction of gastrointestinal inflammation. Results suggest that ‘need for a fixed routine’ and ‘constipation’ be included in a screening questionnaire as independent predictors of bowel dysfunction in these children.

Background: Improved real world functioning is the ultimate goal of cognitive rehabilitation (which was developed for an acquired brain injury population), however, cognitive remediation for psychiatric populations focuses primarily on cognitive interventions (e.g., computerized cognitive training) and utilizes cognitive test results as outcomes. A broader range of neuropsychological interventions and outcome measures, incorporating real-world measures of functioning, is recommended for cognitive remediation program evaluation.

Objective: To determine the feasibility and explore the effectiveness of a holistic cognitive remediation program administered by clinical neuropsychologists for a community-based mixed psychiatric treatment seeking sample.

Method: Twenty-five adults of mixed psychiatric aetiology were referred for a 10-week intervention (including four hours of weekly individual and group-based sessions). A broad array of outcomes was assessed post-intervention. Functional status, self-reported cognitive symptoms and quality of life was assessed at 11.3 months follow-up.

Results: Eighteen of the referred participants (72%) completed the intervention. Completers showed: a high rate of functional cognitive goal attainment; increased employment rates; improved symptoms of psychological distress and quality of life; reduced self-report of cognitive difficulties; and improved auditory attention span and verbal memory. Self-report of reduced cognitive difficulties and improved quality of life was maintained approximately one year later. The majority of participants reported very high levels of satisfaction with the program.

Conclusions: This intervention was acceptable to participants and associated with high satisfaction rates and gains in cognitive, psychological and functional outcomes. Findings suggest there are multiple benefits to adopting an intervention program that is holistic, individualized to the goals of the patient and facilitated by trained neuropsychologists.

Objective: Quality of life is influenced by psychological and social factors. Our main objective is to better understand and characterize the impact of social and psychological characteristic in quality of life in aging population with and without diabetes and other chronic disease.

Method: The data was collected at the national level. The sample is composed of 1,330 people 62.2% of which were female, with ages ranging between 55 and 75 years old. 48.2% of the sample mention having a chronic condition, 34.4% of which had diabetes.

Three regression models were created in order to understand the quality of life in aging population with and without chronic illness in a biopsychosocial perspective.

Results: Results showed that quality of life in aging population is influenced by psychological factors (purpose of life and stress management skills) and by social factors (social support satisfaction and relationships with supervisor at work). Having a chronic disease, such as diabetes, can also influence quality of life.

Conclusions: Our study allowed us to conclude that quality of life is influenced by physical health, psychological health and social health. The psychological factors presented a more systematic and strong influence in quality of life in population with and without chronic disease.