Marianna Tsatali

A Decision-Support Framework for Promoting Independent Living and Ageing Well

Artificial intelligence and decision support systems offer a plethora of health monitoring capabilities in ambient assisted living environment. Continuous assessment of health indicators for elderly people living on their own is of utmost importance, so as to prolong their independence and quality of life. Slow varying, long-term deteriorating health trends are not easily identifiable in seniors. Thus, early sign detection of a specific condition, as well as, any likely transition from a healthy state to a pathological one are key problems that the herein proposed framework aims at resolving. Statistical process control concepts offer a personalized approach toward identification of trends that are away from the atypical behavior or state of the seniors, while fuzzy cognitive maps knowledge representation and inference schema have proved to be efficient in terms of disease classification. Geriatric depression is used as a case study throughout the paper, so to prove the validity of the framework, which is planned to be pilot tested with a series of lone-living seniors in their own homes.

Depression and Anxiety Levels Increase Chronic Musculoskeletal Pain in Patients with Alzheimer's Disease

BACKGROUND/OBJECTIVES During the next decades a rapid increase is expected in the number of patients with dementia suffering from pain who often take less medication compared to normal elderly, due to several diagnostic barriers. Comorbid mood disorders result in great difficulties in pain assessment and further treatment. DESIGN Twenty five patients with Alzheimers disease, comorbid mood disorders, and chronic musculoskeletal pain (experimental group) and thirty one patients with Alzheimers disease and chronic musculoskeletal pain without comorbid mood disorders (control group) were examined. The assessment tools used were Geriatric Pain Measure, Patient Health Questionnaire, Pain Assessment in Advanced Dementia, Mini Mental State Examination and Pain Anxiety Symptom Scale. Statistical analysis was performed by SPSS v17.0, using the Pearson correlation and the multiple linear regression analysis. RESULTS The correlation between mood disorders and levels of pain intensity in the experimental group was found to be statistically higher than that in the control group (p<.001). Among all quantitative variables, highly significant correlation (p<.001) was observed between stress and depression symptomatology (r =.550, p<.001) in the experimental group. Normal regression analysis was used to assess possible differences between demographic data and PASS scores. Scores in fearful thinking and physiological responses scales of PASS were higher in female than male (p=.014), whereas scores in the cognitive anxiety scale of PASS have shown a highly significant positive correlation with years of education (p<.001). DISCUSSION It seems that depression and anxiety are associated with chronic musculoskeletal pain intensity in dementia, thus need to be taken into consideration by health professionals for patients management.

The Role of Gender in Shame, Hostility, and Aggression Experienced by Caregivers for Patients With Dementia

The aim of this study was to investigate the differences between male and female caregivers for patients with dementia in the way they experience various psychosocial parameters such as shame, hostility, and aggression. The sample included 55 caregivers of patients with moderate and severe dementia, whereas the average age was 51 years. Female caregivers were found to experience significantly higher levels of external shame, measured by Other As Shamer scale, than male caregivers, t (53) = 2.54, P < .01. A significant difference was also found between the female and male caregivers regarding their recorded levels of internal shame, measured by Experience of Shame Scale, with female caregivers experiencing more internal shame than their male counterparts, t (53) = 2.11, P < .01. However, no significant differences were found in hostility and aggression between males and females. These results demonstrate the existence of gender differences in the levels of shame experienced by care providers for patients with dementia.

Enabling active and healthy ageing decision support systems with the smart collection of TV usage patterns.

Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring sensors, devices and software tools. To this end, a smart monitoring system has been used in order to extract meaningful information about television (TV) usage patterns and subsequently associate them with clinical findings of experts. The smart TV operating state remote monitoring system was installed in four elderly women homes and gathered data for more than 11 months. Results suggest that TV daily usage (time the TV is turned on) can predict mental health change. Conclusively, the authors suggest that collection of smart device usage patterns could strengthen the inference capabilities of existing health DSSs applied in uncontrolled settings such as real senior homes.

Role of depression in chronic pain among people with Alzheimer's disease

Melbourne,Australia; CSIRO, Parkville,Australia; Edith Cowan University, Perth, Australia; CogState Ltd, Melbourne,Australia; Macquarie University, Sydney, NSW, Australia; St Georges Hospital, Kew, Australia; National Ageing Research Institute Inc. (NARI), Melbourne, Australia; University of Melbourne, Melbourne, VIC,Australia; Austin Hospital, Melbourne, Australia; National Ageing Research Institute Inc. (NARI), Parkville, Australia; CSIRO, Parkville,Australia. Contact e-mail: ping.zhang@csiro.au