METHODS: Parental-proxy scores of the Pediatric Quality of Life Inventory 4.0 core scales were obtained for 179 children with CHD and 172 siblings. Intra-class coefficients were derived to determine the levels of proxy-child agreement in 66 children aged 8-18 years. Multiple regression analysis was used to determine factors that impacted Pediatric Quality of Life Inventory scores.
RESULTS: Proxy scores were lower in children with CHD than siblings for all scales except physical health. Maximum differences were noted in children aged 5-7 years, whereas there were no significant differences in the 2-4 and 13-18 years age groups. Good levels of proxy-child agreement were found in children aged 8-12 years for total, psychosocial health, social, and school functioning scales (correlation coefficients 0.7-0.8). In children aged 13-18 years, the level of agreement was poor to fair for emotional and social functioning. The need for future surgery and severity of symptoms were associated with lower scores.
CONCLUSION: Differences in proxy perception of quality of life appear to be age related. The level of proxy-child agreement was higher compared with other reported studies, with lower levels of agreement in teenagers. Facilitating access to surgery and optimising control of symptoms may improve quality of life in this group of children.
Materials and Methods: We have developed and validated 2D and 3D QSAR models by using multiple linear regression, partial least square regression, and k-nearest neighbor-molecular field analysis methods.
Results: 2D QSAR models had q2: 0.950 and pred_r2: 0.877 and 3D QSAR models had q2: 0.899 and pred_r2: 0.957. These results showed that the models werere predictive.
Conclusion: Parameters such as hydrogen count and hydrophilicity were involved in 2D QSAR models. The 3D QSAR study revealed that steric and hydrophobic descriptors were negatively contributed to neuraminidase inhibitory activity. The results of this study could be used as platform for design of better anti-influenza drugs.
METHODS: A cross sectional study was conducted in three districts in Selangor, from 11th June to 30th December 2012. The sampling frame was obtained from the Department of Statistics Malaysia (DOS) in May 2012, using the National Population and Housing Census 2010. Adults aged 18 years and above, living in the selected living quarters were approached to participate in the study and requested to complete a set of questionnaires.
RESULTS: A total of 1,556 out of 2,152 participants participated in this study, giving an overall study response rate of 61.90%. Patient Health Questionnaire 9 (PHQ-9) was used to determine the presence of depression. The prevalence of depression was 10.3%, based on the PHQ-9 cut off point of 10 and above. Based on multiple logistic regression analysis, the predictors of depression were presence of anxiety, serious problems at work, unhappy relationship with children, high perceived stress, domestic violence, unhappy relationship with spouse, low self-esteem, unhappy relationship with family, serious financial constraint and presence of chronic diseases. When reanalyzed after removing anxiety, high perceived stress and low self-esteem, additional predictors of depression were found to be serious marital problems and religiosity.
CONCLUSION: The prevalence of depression in this study is similar to that found in other studies. Findings from this study are being used as baseline data to develop an effective program to assist in the management of common mental health disorders in the community, in particular depression. The identification of predictors of depression in the community is important to identify the target population for the program.