182 resultados para disease prevention


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This article explores the use of probabilistic classification, namely finite mixture modelling, for identification of complex disease phenotypes, given cross-sectional data. In particular, if focuses on posterior probabilities of subgroup membership, a standard output of finite mixture modelling, and how the quantification of uncertainty in these probabilities can lead to more detailed analyses. Using a Bayesian approach, we describe two practical uses of this uncertainty: (i) as a means of describing a person’s membership to a single or multiple latent subgroups and (ii) as a means of describing identified subgroups by patient-centred covariates not included in model estimation. These proposed uses are demonstrated on a case study in Parkinson’s disease (PD), where latent subgroups are identified using multiple symptoms from the Unified Parkinson’s Disease Rating Scale (UPDRS).

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This paper presents the results of a systematic review of literature on the topic of parents’ views about child sexual abuse prevention education. It describes: i) what parents know about child sexual abuse prevention education; ii) what child sexual abuse prevention messages parents provide to their children and what topics they discuss; iii) what parents’ attitudes are towards child sexual abuse prevention education in schools; and iv) their preferences for content. Electronic database searches were conducted to identify relevant literature published in English relating to child sexual abuse prevention programs and parent’s views. A total of 429 papers were evaluated with 13 studies identified as meeting the study’s inclusion criteria. Worldwide, empirical research on parents’ views about child sexual abuse prevention programs is limited and more research is needed in Australia. Implications for future research and practice are outlined.