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.

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.

We are witnessing a rapidly growing type of Mobile Health. Mobile devices have allowed the control of activity levels in people, their habits and even their mobility through GPS. Vital signs, moods, sleep disorders, heart rates, or skin temperature can also be monitored. Literature specializing in psychosocial therapies addresses the usefulness of mobile phones in patients in general, with greater production from psychology and to a lesser extent from social work. We highlight the research developed in the USA and identify opportunities and limitations in terms of data privacy, access to and use of mobile phones; to reach isolated or poor populations or to facilitate access to social and health services. We conclude with possible orientations, hypotheses and goals for prospective investigation works.

Objective: To explore the relationship between only children’s sleep quality and social support and its influencing factors to provide solid evidence for sleep disorder improvement.

Methods: A total of 13,080 health participants in 18 provinces of China were chosen by random cluster sampling and were assessed by the Chinese People’s Social Support Scale (CPSSS) and the Chinese People’s Sleep Disorder Scale (CPSDS). A variety of statistical methods, such as descriptive statistical analysis, t-test for independent sample, correlation analysis and multiple linear regression analysis, were employed for data processing.

Results: (1) The scores of motile abnormal sleep and immotile abnormal sleep in the only-child group were lower than in the corresponding group (P<0.05). The scores of lethargy in the only-child group were higher than in the corresponding group (P<0.05). The scores of motile abnormal sleep, immotile abnormal sleep in the married group were higher than in the unmarried group (P<0.05). The scores of lethargy and daytime function in the married group were lower than in the unmarried group. All factor scores of sleep disorders in the urban group were higher than in the rural group (P<0.05). (2) The social support scores of Chinese samples in the only-child or not-only-child groups and married status had significant differences (P<0.05); however, the social support score differences of rural-urban groups were not statistically significant (P>0.05). (3) All factors of social support positively correlated with sleep disorders (P<0.05). Multiple regression analysis suggested that all factors of social support were selected into the regressive functions of lethargy and immotile abnormal sleep; they could predict the current status of the above three factors of sleep disorders (P=0.000). Subjective social support and objective social support were selected in the regressive function of daytime function and insomnia; they could predict the current status of daytime function and insomnia (P=0.000).

Conclusion: The current status of social support and sleep disorders in an only child’s demographic sample have significant differences; social support is closely related to an only child’s sleep disorder, and it can predict the only child’s sleep disorder.

One-third of people living with dementia also experience depression. Treating symptoms of depression may be a protective factor and reduce cognitive decline in dementia. People suffering from depression experience sad mood, reduced energy, poor concentration, loss of interest, diminished activity and they are at risk for death by suicide. Screening instruments include the Cornell Scale for Depression in Dementia (CSDD) and the Geriatric Depression Scale (GDS). Typical treatments include antidepressant medications, which may have limited efficacy; and Electroconvulsive Therapy (ECT), which may heighten memory loss. Psychotherapeutic approaches, including cognitive–behavioral therapy, interpersonal therapy and supportive counseling can be helpful. Lifestyle modifications addressing healthy diet, exercise and the inclusion of enjoyable activities can promote improved quality of life. Providing needed education and support to caregivers, who often experience depression, anxiety and sleep disorders themselves is critical. This paper provides health professionals with an overview of approaches for recognizing and responding to co-occurring dementia and depression.