994 resultados para predictive compensation


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Objectives
Evaluate the predictive validity of ActiGraph energy expenditure equations and the classification accuracy of physical activity intensity cut-points in preschoolers.

Methods
Forty children aged 4–6 years (5.3±1.0 years) completed a ~150-min room calorimeter protocol involving age-appropriate sedentary, light and moderate-to vigorous-intensity physical activities. Children wore an ActiGraph GT3X on the right mid-axillary line of the hip. Energy expenditure measured by room calorimetry and physical activity intensity classified using direct observation were the criterion methods. Energy expenditure was predicted using Pate and Puyau equations. Physical activity intensity was classified using Evenson, Sirard, Van Cauwenberghe, Pate, Puyau, and Reilly, ActiGraph cut-points.

Results
The Pate equation significantly overestimated VO2 during sedentary behaviors, light physical activities and total VO2 (P<0.001). No difference was found between measured and predicted VO2 during moderate-to vigorous-intensity physical activities (P = 0.072). The Puyau equation significantly underestimated activity energy expenditure during moderate-to vigorous-intensity physical activities, light-intensity physical activities and total activity energy expenditure (P<0.0125). However, no overestimation of activity energy expenditure during sedentary behavior was found. The Evenson cut-point demonstrated significantly higher accuracy for classifying sedentary behaviors and light-intensity physical activities than others. Classification accuracy for moderate-to vigorous-intensity physical activities was significantly higher for Pate than others.

Conclusion
Available ActiGraph equations do not provide accurate estimates of energy expenditure across physical activity intensities in preschoolers. Cut-points of ≤25counts⋅15 s−1 and ≥420 counts⋅15 s−1 for classifying sedentary behaviors and moderate-to vigorous-intensity physical activities, respectively, are recommended.

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Purpose –
This paper aims to examine and compare the strength of personality and values in predicting brand preferences. It seeks to accomplish three main objectives. First, it will evaluate the strength of personality and values in predicting consumers' brand preferences. Second, it will examine whether values exercise a mediating role between personality and brand preferences. Finally, it will examine the mediating role of prestige sensitivity in influencing brand preferences.

Design/methodology/approach – 

The study opted to use a quantitative approach involving 251 undergraduate students as the study participants. The constructs used in the study are taken from existing scales as well as self-developed branding scales. Structural equation modeling technique is utilised for data analysis.

Findings –
The paper provides empirical insights about how personality and values together affect brand preferences. It suggests that values are indeed better predictors of brand preferences and exercise both direct and indirect effects on brand preferences through the mediating role of prestige sensitivity.

Research limitations/implications –
Because of the self-report method used for personality assessment, there may be bias in terms of the nature of respondents' personality as expressed in the questionnaire.

Practical implications –
The paper suggests implications for the development of a strong brand personality which can appeal to both consumer personality and values.

Originality/value –
This paper poses interesting insights and empirical evidence with regard to the predictive power of personality and values on brand preferences within a fashion context.

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We present a comparative analysis of patterns of exposure to job stressors and stress-related workers’ compensation (WC) claims to provide an evaluation of the adequacy of claims-driven policy and practice. We assessed job strain prevalence in a 2003 population-based survey of Victorian [Australia] workers and compared these results with stress-related WC statistics for the same year. Job strain prevalence was higher among females than males, and elevated among lower vs. higher occupational skill levels. In comparison, claims were higher among females than males, but primarily among higher skill-level workers. There was some congruence between exposure and WC claims patterns. Highly exposed groups in lower socio-economic positions were underrepresented in claims statistics, suggesting that the WC insurance perspective substantially underestimates the job stress problems for these groups. Thus to provide a sufficient evidence base for equitable policy and practice responses to this growing public health problem, exposure or health outcome data are needed as an essential complement to claims statistics.

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The project aimed to explore long--term injured workers’ experiences and perceptions of their mental health as they progressed through the Victorian WorkCover process. The purpose of the project was to assist in understanding these factors in order to identify how workers might be better supported, and to identify changes that compensation authorities, employers and unions can make to reduce mental distress amongst injured workers. As a project based on workers’ accounts of their experiences, it aimed to provide a narrative basis for the development of supportive policy and practice to reduce mental distress amongst people who are clients of the WorkCover system. The project was a qualitative study based on fifteen in--depth interviews with people who had been injured at work and who had been off work for at least six months. The workers who took part in the study were recruited with the assistance of their trade unions, using an advertisement that was distributed via the unions’ regular communication channels. Workers were asked to tell their story of injury and recovery with a particular focus on how they felt and the factors that affected them, both positively and negatively. They were also asked what could or should be changed to support workers’ recovery and improve their experience of the WorkCover system. The workers who took part in the study came from a variety of industry sectors (education, textile and clothing manufacturing and meat industries) and different occupational categories (professional, trade/technical and manual). They included people whose primary injury was physical and those whose primary injury was psychosocial.