83 resultados para National Longitudinal Survey of Youth Labor Market Experience (U.S.)


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OBJECTIVES: We examined the longitudinal effect of schools' drug policies on student marijuana use. METHODS: We used data from the International Youth Development Study, which surveyed state-representative samples of students from Victoria, Australia, and Washington State. In wave 1 (2002), students in grades 7 and 9 (n = 3264) and a school administrator from each participating school (n = 188) reported on school drug policies. In wave 2 (2003), students reported on their marijuana use. We assessed associations between student-reported and administrator-reported policy and student self-reported marijuana use 1 year later. RESULTS: Likelihood of student marijuana use was higher in schools in which administrators reported using out-of-school suspension and students reported low policy enforcement. Student marijuana use was less likely where students reported receiving abstinence messages at school and students violating school policy were counseled about the dangers of marijuana use. CONCLUSIONS: Schools may reduce student marijuana use by delivering abstinence messages, enforcing nonuse policies, and adopting a remedial approach to policy violations rather than use of suspensions.

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With the launch of the ‘My School’ website in 2010, Australia became a relative latecomer to the publication of national school performance comparisons. This paper primarily seeks to explore the school choice experience as framed by ‘My School’ website, for participating middle-class families. We will draw on Bourdieusian theory of cultural capital and relationship networks and Australian-based school choice research in order to contribute to understandings regarding the application of ‘My School’ data within participating families. Data collection consisted of qualitative, semi-structured, in-depth interviews with five families, each based within inner-city suburbs of Melbourne, Victoria. The findings of this small-scale study indicate that participating middle-class families possessed highly developed strategies for locating and achieving enrolment in school-of-choice and therefore did not seek to apply available data on ‘My School’ to decision-making, despite each participant reviewing the available data.

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Deteriorating job control has been previously shown to predict poor mental health. The impact of improvement in job control on mental health is less well understood, yet it is of policy significance. We used fixed-effects longitudinal regression models to analyze 10 annual waves of data from a large Australian panel survey (2001-2010) to test within-person associations between change in self-reported job control and corresponding change in mental health as measured by the Mental Component Summary score of Short Form 36. We found evidence of a graded relationship; with each quintile increase in job control experienced by an individual, the person's mental health increased. The biggest improvement was a 1.55-point increase in mental health (95% confidence interval: 1.25, 1.84) for people moving from the lowest (worst) quintile of job control to the highest. Separate analyses of each of the component subscales of job control-decision authority and skill discretion-showed results consistent with those of the main analysis; both were significantly associated with mental health in the same direction, with a stronger association for decision authority. We conclude that as people's level of job control increased, so did their mental health, supporting the value of targeting improvements in job control through policy and practice interventions.

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 This study explores the longitudinal effect of adolescent volunteering behaviour on young adult volunteering and the completion of secondary school. Utilising data from the Australian sample of the International Youth Development Study, frequency of volunteering in Grade 9 (mean age = 15 years) and in young adulthood (mean age = 21 years), and completion of secondary school were measured. Mixed effect logistic regression analyses revealed that adolescent volunteering was associated with an increased likelihood of volunteering in young adulthood (Odds Ratio [OR] 1.29; 95% Confidence Interval [CI] 1.20–1.39; N = 2,648) and of Grade 12 completion (OR 1.14; CI 1.03–1.28; N = 2,648), after controlling for family socioeconomic status and adolescent school adjustment. These findings suggest that adolescent volunteering may lead to further involvement in young adult volunteering and have a positive effect on school completion.

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Most software testing research has focused on the development of systematic, standardised, and automated testing methodologies and tools. The abilities and expertise needed to apply such techniques and tools - such as personality traits, education, and experience - have attracted a comparatively small amount of research attention. However, the limited research in the area to date provides some indication that the human traits of software testers are important for effective testing. This paper presents the opinions of software testers themselves, collected through an online survey, on the importance of a variety of factors that influence effective testing, including testing-specific training, experience, skills, and human qualities like dedication and general intelligence. The survey responses strongly suggest that while testing tools and training are important, human factors were similarly considered highly important. Domain knowledge, experience, intelligence, and dedication, amongst other traits, were considered crucial for a software tester to be effective. As such, while systematic methodologies are important, the individual most clearly does matter in software testing. The results of our research have implications for education, recruitment, training and management of software testers.

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Objective. The aim of the present study was to investigate non-clinical work conducted by Australian doctors.
Methods. This study was an exploratory descriptive study using data from Wave 5 of the Medicine in Australia: Balancing Employment and Life (MABEL) longitudinal survey, collected in 2012 from Australian medical practitioners (2200 general practitioners (GPs), 3455 specialists, 1270 specialists in training and 1656 hospital non-specialists). The main outcome measure was the number of hours worked per week in non-clinical work. Regression analysis was used to determine associations between non-clinical activities (i.e. education-related, management and administration and other) and personal and professional characteristics, including age, gender, job and life satisfaction, total clinical working hours, sector of practice
(public or private) and doctor type.
Results. Australian doctors spend an average of just under 7 h per week, or 16% of their working time, on non-clinical activities. Doctors who worked more hours on non-clinical activities overall, and in education-related and management and
administration specifically, were male, younger, had lower life satisfaction and generally spent fewer hours on clinical work. Lower job satisfaction was associated with longer management and administration hours, but not with time spent in
education-related activities. Specialists were more likely to work long non-clinical hours, whereas GPs were more likely to report none. Hospital non-specialists reported relatively high management and administration hours.
Conclusions. Further work is required to better understand the full range of non-clinical activities doctors are involved in and how this may impact future workforce projections.

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OBJECTIVE: To investigate whether cost-related non-collection of prescription medication is associated with a decline in health. SETTINGS: New Zealand Survey of Family, Income and Employment (SoFIE)-Health. PARTICIPANTS: Data from 17 363 participants with at least two observations in three waves (2004-2005, 2006-2007, 2008-2009) of a panel study were analysed using fixed effects regression modelling. PRIMARY OUTCOME MEASURES: Self-rated health (SRH), physical health (PCS) and mental health scores (MCS) were the health measures used in this study. RESULTS: After adjusting for time-varying confounders, non-collection of prescription items was associated with a 0.11 (95% CI 0.07 to 0.15) unit worsening in SRH, a 1.00 (95% CI 0.61 to 1.40) unit decline in PCS and a 1.69 (95% CI 1.19 to 2.18) unit decline in MCS. The interaction of the main exposure with gender was significant for SRH and MCS. Non-collection of prescription items was associated with a decline in SRH of 0.18 (95% CI 0.11 to 0.25) units for males and 0.08 (95% CI 0.03 to 0.13) units for females, and a decrease in MCS of 2.55 (95% CI 1.67 to 3.42) and 1.29 (95% CI 0.70 to 1.89) units for males and females, respectively. The interaction of the main exposure with age was significant for SRH. For respondents aged 15-24 and 25-64 years, non-collection of prescription items was associated with a decline in SRH of 0.12 (95% CI 0.03 to 0.21) and 0.12 (95% CI 0.07 to 0.17) units, respectively, but for respondents aged 65 years and over, non-collection of prescription items had no significant effect on SRH. CONCLUSION: Our results show that those who do not collect prescription medications because of cost have an increased risk of a subsequent decline in health.

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BACKGROUND: A core component of family-centred nursing care during the provision of end-of-life care in intensive care settings is information sharing with families. Yet little is known about information provided in these circumstances.

OBJECTIVE: To identify information most frequently given by critical care nurses to families in preparation for and during withdrawal of life-sustaining treatment.

DESIGN: An online cross-sectional survey.

METHODS: During May 2015, critical care nurses in Australia and New Zealand were invited to complete the Preparing Families for Treatment Withdrawal questionnaire. Data analysis included descriptive statistics to identify areas of information most and least frequently shared with families. Cross tabulations with demographic data were used to explore any associations in the data.

RESULTS: From the responses of 159 critical care nurses, information related to the emotional care and support of the family was most frequently provided to families in preparation for and during withdrawal of life-sustaining treatment. Variation was noted in the frequency of provision of information across body systems and their associated physical changes during the dying process. Significant associations (p<0.05) were identified between the variables gender, nursing experience and critical care experiences and some of the information items most and least frequently provided.

CONCLUSIONS: The provision of information during end-of-life care reflects a family-centred care approach by critical care nurses with information pertaining to emotional care and support of the family paramount. The findings of this study provide a useful framework for the development of interventions to improve practice and support nurses in communicating with families at this time.