Context Little is known about non–time-loss (NTL) injury patterns in basketball athletes. Knowledge of these patterns may aid in the development of prevention and management strategies for patients with these injuries. Objective To describe the epidemiology of time-loss (TL) and NTL injuries sustained by secondary school boys' and girls' basketball athletes. Design Descriptive epidemiology study. Setting Eighty-six unique schools provided data, with 84 and 83 contributing to boys' and girls' basketball, respectively. Patients or Other Participants Athletes participating in secondary school-sponsored boys' and girls' basketball. Main Outcome Measure(s) Boys' and girls' basketball data from the National Athletic Treatment, Injury and Outcomes Network (NATION) injury-surveillance program (2011–2012 through 2013–2014 years) were analyzed. Injury counts, rates, and rate ratios (IRRs) were reported with 95% confidence intervals (CIs). Results The NATION captured 2653 injuries over 364 355 athlete-exposures (AEs) for boys' basketball and 2394 injuries over 288 286 AE for girls' basketball, producing rates of 7.28/1000 AEs (95% CI = 7.00, 7.56) for boys and 8.30/1000 AEs (95% CI = 7.97, 8.64) for girls. The overall injury rates were slightly lower for boys (IRR = 0.88; 95% CI = 0.83, 0.93). For boys, 559 (21.1%) injuries were TL and 2094 (78.9%) were NTL, producing a TL injury rate of 1.53/1000 AEs (95% CI = 1.40, 1.66) and an NTL injury rate of 5.75/1000 AEs (95% CI = 5.50, 5.99). For girls, 499 (20.8%) injuries were TL and 1895 (79.2%) were NTL, producing a TL injury rate of 1.73/1000 AEs (95% CI = 1.58, 1.88) and an NTL injury rate of 6.57/1000 AEs (95% CI = 6.28, 6.87). Rates of TL injuries were similar between boys' and girls' basketball (IRR = 0.89; 95% CI = 0.79, 1.00); NTL injury rates were lower for boys (IRR = 0.87; 95% CI = 0.82, 0.93). Conclusions When NTL injuries were included, the rates of injury in boys' and girls' secondary school basketball were higher than previously reported.
Clinical Scenario:Mild traumatic brain injury, or concussion, has been associated with physical, cognitive, and emotional sequelae. Little is understood in regard to many characteristics, such as anxiety, and their effect on post-concussion symptoms.Clinical Question:Is state anxiety, trait anxiety, or anxiety sensitivity a clinical predictor of symptoms in those presenting with mild traumatic brain injury or concussion?Summary of Key Findings:A literature search returned 3 possible studies; 3 studies met inclusion criteria and included. One study reported in athletes that greater social support was associated with decreased state-anxiety, lower state anxiety post-concussion was associated with increased social support, and that those with greater social support may experience reduced anxiety, regardless of injury type sustained. One study reported baseline trait anxiety in athletes was not significantly associated with post-concussion state anxiety, but that symptoms of depression at baseline was the strongest predictor for post-concussion state anxiety. Three studies reported that state and trait anxiety are not related to increased post-concussion symptom scores. One study reported that greater anxiety sensitivity is related to higher reported post-concussion symptom scores, which may manifest as somatic symptoms following concussion, and revealed that anxiety sensitivity may be a risk factor symptom development.Clinical Bottom Line:There is low-level to moderate evidence to support that anxiety sensitivity is linked to post-concussion symptoms. State and trait anxiety do not appear to be related to post-concussion symptoms alone. Post-concussion state anxiety may occur if post-concussion symptoms of depression are present or if baseline symptoms of depression are present. Better social support may improve state anxiety post-concussion.Strength of Recommendation:There is grade B evidence to support that state and trait anxiety are not risk factors for post-concussion symptom development. There is grade C evidence to support anxiety sensitivity as a risk factor for developing post-concussion symptoms.
AimsThe role of perfectionism as a correlate of perinatal depressive symptomatology, and as a predictor of postpartum depressive disorder was examined.Methods386 women in their third trimester of pregnancy (mean age = 30.08 years; SD = 4.205; range = 19–44) completed the Portuguese versions of Multidimensional Perfectionism Scale, Beck Depression Inventory-II/BDI-II, Postpartum Depression Screening Scale/PDSS and three additional questions evaluating anxiety trait, life stress perception and social support. Diagnoses of depression (ICD-10/DSM-IV) were obtained using the Portuguese version of the Diagnostic Interview for Genetic Studies/OPCRIT system. Women who were clinically depressed in pregnancy (ICD-10/DSM-IV) were excluded from the analysis.ResultsSelf-Oriented Perfectionism/SOP and Socially Prescribed Perfectionism/SPP subcomponents were significant correlates of depressive symptomatology (BDI-II/PDSS) in pregnancy. SPP-Others High Standards/OHS was a significant predictor of postpartum depressive symptomatology (BDI-II/PDSS), and SPP-Conditional Acceptance/CA was a predictor of postpartum depressive symptomatology (PDSS). None of the perfectionism subscales predicted postpartum depressive disorder (ICD-10/DSM-IV).ConclusionsSOP and SPP have shown to be relevant correlates of depressive symptomatology in pregnancy. In the present study, SPP-OHS and SPP-CA were also significant correlates of perinatal depressive symptomatology, as well as important risk factors for depressive symptomatology in postpartum. Perfectionism subscales were not significant predictors of postpartum depressive disorder (ICD-10/DSM-IV). While SPP maladaptive influence was supported, SOP was shown to be more heterogeneous in its consequences. These findings may have important implications both for clinical practice and for research.
Buddhism as a spiritual discipline is concerned with freedom from suffering, conceptualizing suffering as originating in false views about the nature of self and reality. Buddhist psychology conceptualizes emotions and mental habits as being wholesome or unwholesome based on the tendency of these habits to promote or hinder the quest for enlightenment, and contains a rich diversity of methods to transform unwholesome emotional tendencies. Many of these emotions, such as anger, fear, and despair, are commonly dealt with in clinical or therapy settings. Buddhist ideas about the genesis and cessation of suffering can be used as an overarching model to organize a diversity of therapeutic techniques, bridge different therapy models, and select particular techniques at particular times in the treatment of emotional disorders. Learning objectives: after this session, participants will be able to use the Buddhist Yogacara model of mind and karma as a model of how negative emotions are transformed. After this session, participants will be able to describe indirect methods (evoking wholesome feelings) in order to transform negative emotional tendencies and how this overlaps with current therapy models such as supportive and compassion-focused therapy. After the session, participants will be able to conceptualize how Buddhist “direct methods” of mindful awareness and contemplating right view overlaps with methods used in cognitive behavioural therapy, marital therapy, or acceptance and commitment therapy. Self-assessment questions: according to Buddhist psychology, what is the primary cause of negative emotions? Broadly speaking, what are 3 types of techniques for transforming emotional habits?Disclosure of interestThe author has not supplied his/her declaration of competing interest.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.