Building capacity in sexuality education : The Northern Bay College experience : Report of the first phase of the sexuality education and community support (SECS) project

The Sexuality Education and Community Support (SECS) project aims to introduce a P-12 approach to sexuality education at Northern Bay P-12 College (NBC) through a collaborative partnership process between the schools within the College and local, regional, and state health and education agencies and has set out to change current sexual health education practice in the College and assist other schools in the region to do the same. The Project’s goal is a ‘sustainable, responsive, whole school, regionally consistent, best practice sexuality education’. During this first or establishment phase of the SECS project strategies have been implemented to begin the process of building capacity in sexuality education at NBC. These strategies are aimed at developing a sustainable approach during the next three and a half years.

Striving for success or addiction? Exercise dependence among elite Australian athletes

Exercise dependence is a condition that involves a preoccupation and involvement with training and exercise, and has serious health and performance consequences for athletes. We examined the validity of a biopsychosocial model to explain the development and maintenance of exercise dependence among elite Australian athletes. Participants were 234 elite Australian athletes recruited from institutes and academies of sport. Thirty-four percent of elite athletes were classified as having exercise dependence based on high scores on the measure of exercise dependence. These athletes had a higher body mass index, and more extreme and maladaptive exercise beliefs compared to non-dependent athletes. They also reported higher pressure from coaches and teammates, and lower social support, compared to athletes who were not exercise dependent. These results support the utility of a biopsychosocial model of exercise dependence in understanding the aetiology of exercise dependence among elite athletes. Limitations of the study and future research directions are highlighted.

Body image and self-esteem among Asian, Pacific Islander, and white college students in Hawaii and Australia

Body image and its relationship to self-esteem was examined among Asian, Pacific Islander, and White women and men from Hawaii and Australia (n = 172). Although Pacific Islander and White participants had higher body mass indices than Asians, Pacific Islanders were more satisfied than Asians with their health and more satisfied than Asians and Whites with their appearance. Thus, higher body weight and greater body satisfaction may co-occur among Pacific Islanders, whereas lower weight and lower body satisfaction may co-occur among Asians. The findings suggest different levels of risk for body image dissatisfaction, and its associated psychological consequences, across ethnic groups.

Perceptions of engineering from female secondary college students in regional Victoria

Survey and focus group interviews with female students in regional Victoria resulted in identification of four perceived barriers that influence them to exclude engineering as a career choice. These barriers were identified as a lack of interest in the perceived image, a lack of knowledge, a traditionally maledominated industry, and limited recognisable role models. This paper reports on what Year 10 females are saying about the barriers and, consequently, how engineering can be promoted to overcome these barriers.

The effects of training on performance and performance-related states in individual elite athletes : a dynamic approach

There are difficulties undertaking controlled training studies with elite athletes. Thus, data from non-elite performers are often presented in scientific journals and subsequently used to guide general training principles. This information may not be transferable or specific enough to inform training practices in an individual elite athlete. However, the nature of athletic participation at elite levels provides the opportunity to collect training data, performance-related variables, and performance data of elite athletes over long periods. In this paper, we describe how dynamic linear models provide an opportunity to use these data to inform training. Data from an elite female triathlete collected over a 111-day training period were used to model the relationship between training and self-reported fatigue. The dynamic linear model analysis showed the independent effects of the three modes of triathlon training on fatigue, how these can change across time, and the possible influence of other unmeasured variables. This paper shows the potential for the use of dynamic linear models as an aid to planning training in elite athletes.

Single-subject research designs and data analyses for assessing elite athletes’ conditioning

Research in conditioning (all the processes of preparation for competition) has used group research designs, where multiple athletes are observed at one or more points in time. However, empirical reports of large inter-individual differences in response to conditioning regimens suggest that applied conditioning research would greatly benefit from single-subject research designs. Single-subject research designs allow us to find out the extent to which a specific conditioning regimen works for a specific athlete, as opposed to the average athlete, who is the focal point of group research designs. The aim of the following review is to outline the strategies and procedures of single-subject research as they pertain to the assessment of conditioning for individual athletes. The four main experimental designs in single-subject research are: the AB design, reversal (withdrawal) designs and their extensions, multiple baseline designs and alternating treatment designs. Visual and statistical analyses commonly used to analyse single-subject data, and advantages and limitations are discussed. Modelling of multivariate single-subject data using techniques such as dynamic factor analysis and structural equation modelling may identify individualised models of conditioning leading to better prediction of performance. Despite problems associated with data analyses in single-subject research (e.g. serial dependency), sports scientists should use single-subject research designs in applied conditioning research to understand how well an intervention (e.g. a training method) works and to predict performance for a particular athlete.