49 resultados para cluster analysis


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BACKGROUND/OBJECTIVES: Evidence suggests diet, physical activity (PA) and sedentary behaviour cluster together in children, but research supporting an association with overweight/obesity is equivocal. Furthermore, the stability of clusters over time is unknown. The aim of this study was to examine the clustering of diet, PA and sedentary behaviour in Australian children and cross-sectional and longitudinal associations with overweight/obesity. Stability of obesity-related clusters over 3-years was also examined. SUBJECTS/METHODS: Data were drawn from the baseline (T1: 2002/03) and follow-up waves (T2: 2005/06) of the Health Eating and Play Study. Parents of Australian children aged 5-6 (n=87) and 10-12 years (n=123) completed questionnaires. Children wore accelerometers and height and weight were measured. Obesity-related clusters were determined using K-medians cluster analysis. Multivariate regression models assessed cross-sectional and longitudinal associations between cluster membership, and BMI z-score and weight status. Kappa statistics assessed cluster stability over time. RESULTS: Three clusters, labelled 'most Healthy', 'Energy-dense (ED) consumers who watch TV' and 'high sedentary behaviour/low moderate-to-vigorous physical activity' were identified at baseline and at follow-up. No cross-sectional associations were found between cluster membership, and BMI z-score or weight status at baseline. Longitudinally, children in the 'ED consumers who watch TV' cluster had a higher odds of being overweight/obese at follow-up (OR=2.8; 95% CI: 1.1, 6.9; P<0.05). Tracking of cluster membership was fair to moderate in younger (K=0.24; P=0.0001) and older children (K=0.46; P<0.0001). CONCLUSIONS: This study identified an unhealthy cluster of TV viewing with ED food/drink consumption which predicted overweight/obesity in a small longitudinal sample of Australian children. Cluster stability was fair to moderate over three years and is a novel finding. Prospective research in larger samples is needed to examine how obesity-related clusters track over time and influence the development of overweight and obesity.International Journal of Obesity accepted article preview online, 24 April 2015. doi:10.1038/ijo.2015.66.

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Violent offender rehabilitation programs aim to reduce the risk of re-offending in known offenders by addressing a range of different treatments needs, often with core intervention targets of improving anger regulation and altering antisocial beliefs and thinking styles. Such programs have proven efficacy in reducing recidivism for some, but not all, violent offenders, and little is known about the effects of these programs on different offender types. This study investigates whether subtypes of violent offenders can be meaningfully identified and considers how this influences short-term treatment outcomes. Cluster analysis identified three distinctive violent offender groups within a sample of 305 male offenders who had been assessed for participation in a violent offender rehabilitation program. An "unregulated" group had high levels of anger experience and expression and low levels of anger control, and held beliefs that were strongly supportive of a criminal lifestyle. A "regulated" group demonstrated levels of anger and beliefs supporting criminal activity that were not in a range that warranted treatment. Finally, an "overregulated" group was assessed as the group at highest risk of violent re-offending and had low levels of anger experience and expression and an absence of beliefs supporting criminal activity. The unregulated group appeared to gain the most benefit from treatment, although it had the highest levels of criminal thinking and problematic anger. These findings nonetheless offer support for the hypothesis that violent offender treatment programs may be optimally effective when targeted at particular types of offenders.

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Objective: To comprehensively identify components of the physical limitation concept in knee osteoarthritis (OA) and to rate the clinical importance of these using perspectives of both patients and health professionals.Design: Concept mapping, a structured group process, was used to identify and organize data in focus groups (patients) and via a global web-based survey (professionals). Ideas were elicited through a nominal group technique and then organized using multidimensional scaling, cluster analysis, participant validation, rating of clinical importance, and thematic analyses to generate a conceptual model of physical limitations in knee OA. Results: Fifteen Danish patients and 200 international professionals contributed to generating the conceptual model. Five clusters emerged: ‘Limitations/physical deficits’; ‘Everyday hurdles’; ‘You’re not the person you used to be’; ‘Need to adjust way of living’; and ‘External limitations,’ each with sub-clusters. Patients generally found their limitations more important than the professionals did. Conclusion: Patients and professionals agreed largely on the physical limitation concept in knee OA. Some limitations of high importance to patients were lower rated by the professionals, highlighting the importance of including patients when conceptualizing patient outcomes. These data offer new knowledge to guide selection of clinically relevant outcomes and development of outcome measures in knee OA.

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BACKGROUND: Current population-based anti-obesity campaigns often target individuals based on either weight or socio-demographic characteristics, and give a 'mass' message about personal responsibility. There is a recognition that attempts to influence attitudes and opinions may be more effective if they resonate with the beliefs that different groups have about the causes of, and solutions for, obesity. Limited research has explored how attitudinal factors may inform the development of both upstream and downstream social marketing initiatives. METHODS: Computer-assisted face-to-face interviews were conducted with 159 parents and 184 of their children (aged 9-18 years old) in two Australian states. A mixed methods approach was used to assess attitudes towards obesity, and elucidate why different groups held various attitudes towards obesity. Participants were quantitatively assessed on eight dimensions relating to the severity and extent, causes and responsibility, possible remedies, and messaging strategies. Cluster analysis was used to determine attitudinal clusters. Participants were also able to qualify each answer. Qualitative responses were analysed both within and across attitudinal clusters using a constant comparative method. RESULTS: Three clusters were identified. Concerned Internalisers (27% of the sample) judged that obesity was a serious health problem, that Australia had among the highest levels of obesity in the world and that prevalence was rapidly increasing. They situated the causes and remedies for the obesity crisis in individual choices. Concerned Externalisers (38% of the sample) held similar views about the severity and extent of the obesity crisis. However, they saw responsibility and remedies as a societal rather than an individual issue. The final cluster, the Moderates, which contained significantly more children and males, believed that obesity was not such an important public health issue, and judged the extent of obesity to be less extreme than the other clusters. CONCLUSION: Attitudinal clusters provide new information and insights which may be useful in tailoring anti-obesity social marketing initiatives.