Purpose: This study describes the early educational and vocational outcomes of Australian adolescents and young adults (AYAs) after cancer diagnosis and examines factors associated with these outcomes.
Methods: Within this cross-sectional national Australian study, 196 AYAs aged 15-25 years at cancer diagnosis and within 6-24 months of diagnosis were recruited from 18 sites. Participants completed a survey that included questions about school and work outcomes, support received regarding necessary changes to education and vocation, and validated measures of anxiety, depression, and post-traumatic stress.
Results: Almost half of the sample (43%) was not fully "back on track" with their previous educational and vocational plans. Post-traumatic stress and emotional symptoms were associated with poorer school/work functioning (β = -0.95, p = 0.009 and β = -1.27, p = 0.001, respectively). Higher PedsQL school/work functioning was associated with a slightly greater likelihood of being "back on track" with education and work plans (OR 1.03, p = 0.001). AYAs who felt well supported regarding changes to education and work plans more frequently reported receiving support from formal sources and from more sources than those who felt less supported. Unmet need of accessing an educational or vocational advisor was significantly more frequent in adult than in pediatric settings (42% vs. 17%; p = 0.024). Parents were the most common source of educational or vocational support for AYAs rather than professionals.
Conclusion: This study highlights the connection between school and work participation and mental health in a national sample of AYAs with cancer. It suggests distinct benefits of educational and vocational support.
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http://dx.doi.org/10.1089/jayao.2017.0045 | DOI Listing |
Sci Rep
December 2024
School of Physical Education, Shanghai University of Sport, Shanghai, 200438, China.
Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.
Methods: A stratified, clustered, and phased sampling method was employed.
BMC Med Educ
December 2024
Nursing Department, Shuguang Hospital Affiliated to Shanghai University of TCM, Shanghai, China.
Background: Integration of clinical medicine and other subjects has laid more emphasis on the cultivation of high-quality medical talents, with the increasing demand for interprofessional education (IPE). IPE has been promoted by a number of universities to create and sustain authentic IPE activities, with which students can engage. Although IPE has achieved certain results, there are still many problems.
View Article and Find Full Text PDFBMC Nurs
December 2024
Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Background: The physical demands of nurses during their work and education are high. In addition, shortage in nursing staff increases the individual workload. However, an appropriate tool to measure perceived physical exertion in nursing students is missing.
View Article and Find Full Text PDFBMC Public Health
December 2024
School of Physical Education, South China University of Technology, Guangzhou, China.
Since the World Health Organization declared COVID-19 no longer a public health emergency in 2023, over a year has passed. However, there has been insufficient research into whether the physical health of adolescents has recovered post-Pandemic. The COVID-19 Pandemic profoundly impacted the lives and health of adolescents globally, with prolonged lockdowns and social isolation measures potentially causing adverse effects on their physical health.
View Article and Find Full Text PDFPsychol Res Behav Manag
December 2024
Department of Psychiatry, Sleep Medical Center, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Purpose: Network analysis is a statistical method that explores the complex interrelationships among variables by representing them as nodes and edges in a network structure. This study aimed to examine the interconnections between family functioning, anxiety, and depression among vocational school students through network analysis approach.
Participants And Methods: A sample of 2728 higher vocational school students participated in a survey utilizing the Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Disorder Scale (GAD-7), and Patient Health Questionnaire (PHQ-9).
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