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1.
Int J Sports Med ; 44(4): 236-246, 2023 Apr.
Article in English | MEDLINE | ID: mdl-36122585

ABSTRACT

There are many immediate and longer-term physical, psychological and metabolic benefits of being active during adolescence. These benefits exist when exercise and physical activity are undertaken in a state of energy balance. When exercise occurs in an environment of low energy availability, this is currently termed relative energy deficiency in sport and there are potential significant negative effects on mental well-being, bone, endocrine and metabolic health. Therefore, relative energy deficiency in sport may present to many different specialists or allied health professionals depending upon the symptoms or reasons for seeking help, which include injury, such as bone stress or soft tissue problems, irregular or absent menstruation, stress, anxiety or low mood, or sporting underperformance as examples. The promotion of physical activity in adolescence is a critical part of public health strategy. In parallel with this positive public health message, there needs to be an increase in the awareness of, and education about, relative energy deficiency in sport for those working with and looking after adolescents.This review provides an up to date, practical evidenced based guide on the recognition, investigation and management of relative energy deficiency in sport in the adolescent, both male and female.


Subject(s)
Relative Energy Deficiency in Sport , Sports , Humans , Male , Adolescent , Female , Exercise , Relative Energy Deficiency in Sport/therapy
2.
Br J Sports Med ; 56(8): 427-438, 2022 Apr.
Article in English | MEDLINE | ID: mdl-34649919

ABSTRACT

INTRODUCTION: The benefits of physical activity for people living with long-term conditions (LTCs) are well established. However, the risks of physical activity are less well documented. The fear of exacerbating symptoms and causing adverse events is a persuasive barrier to physical activity in this population.This work aimed to agree clear statements for use by healthcare professionals about medical risks of physical activity for people living with LTCs through expert consensus. These statements addressed the following questions: (1) Is increasing physical activity safe for people living with one or more LTC? (2) Are the symptoms and clinical syndromes associated with common LTCs aggravated in the short or long term by increasing physical activity levels? (3) What specific risks should healthcare professionals consider when advising symptomatic people with one or more LTCs to increase their physical activity levels? METHODS: Statements were developed in a multistage process, guided by the Appraisal of Guidelines for Research and Evaluation tool. A patient and clinician involvement process, a rapid literature review and a steering group workshop informed the development of draft symptom and syndrome-based statements. We then tested and refined the draft statements and supporting evidence using a three-stage modified online Delphi study, incorporating a multidisciplinary expert panel with a broad range of clinical specialties. RESULTS: Twenty-eight experts completed the Delphi process. All statements achieved consensus with a final agreement between 88.5%-96.5%. Five 'impact statements' conclude that (1) for people living with LTCs, the benefits of physical activity far outweigh the risks, (2) despite the risks being very low, perceived risk is high, (3) person-centred conversations are essential for addressing perceived risk, (4) everybody has their own starting point and (5) people should stop and seek medical attention if they experience a dramatic increase in symptoms. In addition, eight symptom/syndrome-based statements discuss specific risks for musculoskeletal pain, fatigue, shortness of breath, cardiac chest pain, palpitations, dysglycaemia, cognitive impairment and falls and frailty. CONCLUSION: Clear, consistent messaging on risk across healthcare will improve people living with LTCs confidence to be physically active. Addressing the fear of adverse events on an individual level will help healthcare professionals affect meaningful behavioural change in day-to-day practice. Evidence does not support routine preparticipation medical clearance for people with stable LTCs if they build up gradually from their current level. The need for medical guidance, as opposed to clearance, should be determined by individuals with specific concerns about active symptoms. As part of a system-wide approach, consistent messaging from healthcare professionals around risk will also help reduce cross-sector barriers to engagement for this population.


Subject(s)
Cognitive Dysfunction , Exercise , Consensus , Health Personnel , Humans
3.
BMC Public Health ; 21(1): 1471, 2021 07 28.
Article in English | MEDLINE | ID: mdl-34320954

ABSTRACT

BACKGROUND: During public health emergencies, people with opioid use disorder (PWOUD) may be particularly impacted. Emergent disasters such as the COVID-19 pandemic disrupt already-strained harm reduction efforts and treatment availability. This study aims to answer three research questions. How do public health emergencies impact PWOUD? How can health systems respond to novel public health emergencies to serve PWOUD? How can the results of this scoping review be contextualized to the province of Alberta to inform local stakeholder responses to the pandemic? METHODS: We conducted a scoping review using the 6-stage Arksey and O'Malley framework to analyse early-pandemic and pre-pandemic disaster literature. The results of the scoping review were contextualized to the local pandemic response, through a Nominal Group Technique (NGT) process with frontline providers and stakeholders in Alberta, Canada. RESULTS: Sixty one scientific journal articles and 72 grey literature resources were included after full-text screening. Forty sources pertained to early COVID-19 responses, and 21 focused on OUD treatment during other disasters. PWOUD may be more impacted than the general population by common COVID-19 stressors including loss of income, isolation, lack of rewarding activities, housing instability, as well as fear and anxiety. They may also face unique challenges including threats to drug supplies, stigma, difficulty accessing clean substance use supplies, and closure of substance use treatment centres. All of these impacts put PWOUD at risk of negative outcomes including fatal overdose. Two NGT groups were held. One group (n = 7) represented voices from urban services, and the other (n = 4) Indigenous contexts. Stakeholders suggested that simultaneous attention to multiple crises, with adequate resources to allow attention to both social and health systems issues, can prepare a system to serve PWOUD during disasters. CONCLUSION: This scoping review and NGT study uncovers how disasters impact PWOUD and offers suggestions for better serving PWOUD.


Subject(s)
COVID-19 , Disasters , Opioid-Related Disorders , Alberta , Emergencies , Humans , Opioid-Related Disorders/epidemiology , Opioid-Related Disorders/therapy , Pandemics/prevention & control , Public Health , SARS-CoV-2
4.
JMIR Ment Health ; 7(9): e18407, 2020 Sep 28.
Article in English | MEDLINE | ID: mdl-32985995

ABSTRACT

BACKGROUND: Suicide is a growing global public health problem that has resulted in an increase in the demand for psychological services to address mental health issues. It is expected that 1 in 6 people on a waiting list for mental health services will attempt suicide. Although suicidal ideation has been shown to be linked to a higher risk of death by suicide, not everybody openly discloses their suicidal thoughts or plans to friends and family or seeks professional help before suicide. Therefore, new methods are needed to track suicide risk in real time together with a better understanding of the ways in which people communicate or express their suicidality. Considering the dynamic nature and challenges in understanding suicide ideation and suicide risk, mobile apps could be better suited to prevent suicide as they have the ability to collect real-time data. OBJECTIVE: This study aims to report the practicalities and acceptability of setting up and trialing digital technologies within an inpatient mental health setting in the United Kingdom and highlight their implications for future studies. METHODS: Service users were recruited from 6 inpatient wards in the north west of England. Service users who were eligible to participate and provided consent were given an iPhone and Fitbit for 7 days and were asked to interact with a novel phone app, Strength Within Me (SWiM). Interaction with the app involved journaling (recording daily activities, how this made them feel, and rating their mood) and the option to create safety plans for emotions causing difficulties (identifying strategies that helped with these emotions). Participants also had the option to allow the study to access their personal Facebook account to monitor their social media use and activity. In addition, clinical data (ie, assessments conducted by trained researchers targeting suicidality, depression, and sleep) were also collected. RESULTS: Overall, 43.0% (80/186 response rate) of eligible participants were recruited for the study. Of the total sample, 67 participants engaged in journaling, with the average number of entries per user being 8.2 (SD 8.7). Overall, only 24 participants created safety plans and the most common difficult emotion to be selected was feeling sad (n=21). This study reports on the engagement with the SWiM app, the technical difficulties the research team faced, the importance of building key relationships, and the implications of using Facebook as a source to detect suicidality. CONCLUSIONS: To develop interventions that can be delivered in a timely manner, prediction of suicidality must be given priority. This paper has raised important issues and highlighted lessons learned from implementing a novel mobile app to detect the risk of suicidality for service users in an inpatient setting.

5.
JMIR Mhealth Uhealth ; 8(6): e15901, 2020 06 26.
Article in English | MEDLINE | ID: mdl-32442152

ABSTRACT

BACKGROUND: Digital phenotyping and machine learning are currently being used to augment or even replace traditional analytic procedures in many domains, including health care. Given the heavy reliance on smartphones and mobile devices around the world, this readily available source of data is an important and highly underutilized source that has the potential to improve mental health risk prediction and prevention and advance mental health globally. OBJECTIVE: This study aimed to apply machine learning in an acute mental health setting for suicide risk prediction. This study uses a nascent approach, adding to existing knowledge by using data collected through a smartphone in place of clinical data, which have typically been collected from health care records. METHODS: We created a smartphone app called Strength Within Me, which was linked to Fitbit, Apple Health kit, and Facebook, to collect salient clinical information such as sleep behavior and mood, step frequency and count, and engagement patterns with the phone from a cohort of inpatients with acute mental health (n=66). In addition, clinical research interviews were used to assess mood, sleep, and suicide risk. Multiple machine learning algorithms were tested to determine the best fit. RESULTS: K-nearest neighbors (KNN; k=2) with uniform weighting and the Euclidean distance metric emerged as the most promising algorithm, with 68% mean accuracy (averaged over 10,000 simulations of splitting the training and testing data via 10-fold cross-validation) and an average area under the curve of 0.65. We applied a combined 5×2 F test to test the model performance of KNN against the baseline classifier that guesses training majority, random forest, support vector machine and logistic regression, and achieved F statistics of 10.7 (P=.009) and 17.6 (P=.003) for training majority and random forest, respectively, rejecting the null of performance being the same. Therefore, we have taken the first steps in prototyping a system that could continuously and accurately assess the risk of suicide via mobile devices. CONCLUSIONS: Predicting for suicidality is an underaddressed area of research to which this paper makes a useful contribution. This is part of the first generation of studies to suggest that it is feasible to utilize smartphone-generated user input and passive sensor data to generate a risk algorithm among inpatients at suicide risk. The model reveals fair concordance between phone-derived and research-generated clinical data, and with iterative development, it has the potential for accurate discriminant risk prediction. However, although full automation and independence of clinical judgment or input would be a worthy development for those individuals who are less likely to access specialist mental health services, and for providing a timely response in a crisis situation, the ethical and legal implications of such advances in the field of psychiatry need to be acknowledged.


Subject(s)
Mental Health , Suicide Prevention , Algorithms , Feasibility Studies , Humans , Machine Learning
6.
J Med Entomol ; 55(4): 995-1001, 2018 06 28.
Article in English | MEDLINE | ID: mdl-29546382

ABSTRACT

The San Joaquin kit fox (Vulpes macrotis mutica Merriam (Carnivora, Canidae)) is an endangered small carnivore endemic to the San Joaquin Valley of California. Commercial and agricultural land expansion has contributed to the species' decline and invasion of more cosmopolitan species, providing means for potential ecological shifts in disease vector and host species. Fleas are common ectoparasites that can serve as important indicators of cross-species interactions and disease risk. We compared flea load and species composition on kit foxes inhabiting urban and nonurban habitats to determine how urbanization affects flea diversity and potential disease spillover from co-occurring species. We identified Echidnophaga gallinacea (Westwood) (Siphonaptera, Pulicidae) and Pulex spp. (L.) in both urban and nonurban populations, and Ctenocephalides felis (Bouche) (Siphonaptera, Pulicidae) only in the urban population. Flea load scores differed significantly across capture sites and with respect to concomitant sarcoptic mange infestation in the urban population, with milder flea infestations more typical of healthy foxes. All observed flea species are known vectors for pathogens that have been detected in mesocarnivores. Further examination of kit fox fleas and their associated pathogens will help to direct conservation and disease preventive measures for both wildlife and humans in the region.


Subject(s)
Flea Infestations/veterinary , Foxes , Scabies/veterinary , Siphonaptera/physiology , Animals , California/epidemiology , Cities , Endangered Species , Female , Flea Infestations/epidemiology , Flea Infestations/parasitology , Male , Prevalence , Scabies/epidemiology , Scabies/parasitology
8.
J Anal Toxicol ; 39(2): 140-3, 2015 Mar.
Article in English | MEDLINE | ID: mdl-25342718

ABSTRACT

In Australia, it is a requirement of workplace oral fluid (OF) drugs of abuse testing that drug recovery from collection devices be verified by an accredited laboratory. Recovery data are used in conjunction with collection volume imprecision data and uncertainty of measurement to provide an estimation of drug concentration in neat OF. The manufacturer's product information for the DCD5000 collection device indicates that the collection volume of the swab is 380 µL. Recovery data for the swab when used with the isopropanol provided by the manufacturer are not available. A series of experiments using fortified drug-free OF were performed to assess the collection volume imprecision of the Dräger DCD5000 swab and the recovery of drugs from the swab using isopropanol. The fortified OF was collected with the swabs (n = 16), and swabs were discharged into vials of isopropanol as per the manufacturer's instructions. The mean collection volume of the DCD5000 swab was 487 µL with an imprecision of 1.3%. Recovery of drug from the device ranged from 86 to 98% for drugs listed in the Australian OF workplace testing standard. Recovery of methadone, buprenorphine and norbuprenorphine ranged from 93 to 102%. Recovery of 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidene was 45%, suggesting that urine is more suitable sample if methadone therapy is being monitored. Overall, drug recovery from the device using isopropanol was acceptable when the increased collection volume of the swab was taken into account.


Subject(s)
Substance Abuse Detection/instrumentation , 2-Propanol/analysis , Australia , Humans
9.
J Nurs Educ ; 53(9): 519-25, 2014 Sep.
Article in English | MEDLINE | ID: mdl-25199107

ABSTRACT

The purpose of this project was to examine the clinical judgment and reasoning skills of nursing students in high-fidelity simulation. Two levels of students (N = 104), novices and those who are slightly more advanced, participated in individual videotaped simulations. Afterward, interviews were conducted to explore what the student was thinking and feeling during simulation. Five themes emerged from the interviews: thinking like a nurse, assessment, looking for answers, communication, and magical or reflective thinking. There was a clear distinction in the reasoning skills of the novice students compared with students with more clinical experience. Tanner's model of clinical judgment in nursing is used to understand the findings of the study.


Subject(s)
Clinical Competence , Judgment , Learning , Students, Nursing/psychology , Thinking , Communication , Education, Nursing, Baccalaureate/methods , Humans , Nursing Assessment , Nursing Education Research , Nursing Evaluation Research , Nursing Methodology Research , Patient Simulation , Qualitative Research , Students, Nursing/statistics & numerical data , Videotape Recording
11.
Cortex ; 45(8): 943-9, 2009 Sep.
Article in English | MEDLINE | ID: mdl-19393992

ABSTRACT

Impairments of semantic processing and inhibition have been observed in Parkinson's disease (PD), however, the consequences of faulty meaning selection and suppression have not been considered in terms of subsequent lexical processing. The present study employed a lexical ambiguity repetition paradigm where the first presentation of an ambiguity paired with a target biasing its dominant or subordinate meaning (e.g., bank - money or bank - river) was followed after several intervening trials by a presentation of the same ambiguity paired with a different target that biases the same (congruent) or a different (incongruent) meaning to that biased on the first presentation. Meaning dominance (dominant or subordinate weaker meanings) and interstimulus interval (ISI) were manipulated. Analyses conducted on the second presentation indicated priming of congruent meanings and no priming for the incongruent meanings at both short and long ISIs in the healthy controls, consistent with suppression of meanings competing with the representation biased in the first presentation. In contrast, the PD group failed to dampen activation for the incongruent meaning at the long ISI when the first presentation was subordinate. This pattern is consistent with an impairment of meaning suppression which is observed under controlled processing conditions and varies as a function of meaning dominance of the first presentation. These findings further refine our understanding of lexical-semantic impairments in PD and suggest a mechanism that may contribute to discourse comprehension impairments in this population.


Subject(s)
Cognition , Inhibition, Psychological , Parkinson Disease/psychology , Semantics , Aged , Aged, 80 and over , Analysis of Variance , Female , Humans , Male , Middle Aged , Neuropsychological Tests , Reaction Time , Task Performance and Analysis , Time Factors
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