Search results for "C841 Health Psychology"

showing 2 items of 2 documents

Implicit versus explicit attitude to doping: which better predicts athletes’ vigilance towards unintentional doping?

2018

Abstract Objectives This preliminary study examined whether implicit doping attitude, explicit doping attitude, or both, predicted athletes’ vigilance towards unintentional doping. Design A cross-sectional correlational design. Methods Australian athletes (N = 143; Mage = 18.13, SD = 4.63) completed measures of implicit doping attitude (brief single-category implicit association test), explicit doping attitude (Performance Enhancement Attitude Scale), avoidance of unintentional doping (Self-Reported Treatment Adherence Scale), and behavioural vigilance task of unintentional doping (reading the ingredients of an unfamiliar food product). Results Positive implicit doping attitude and explicit…

AdultMaleAdolescentTreatment adherencePerformance-enhancing drugsmedia_common.quotation_subjectPhysical Therapy Sports Therapy and RehabilitationAttitude scaledoping050105 experimental psychologyYoung Adult03 medical and health sciencesC890 Psychology not elsewhere classified0302 clinical medicineC841 Health PsychologyC810 Applied PsychologyurheiluAvoidance LearningHumans0501 psychology and cognitive sciencesOrthopedics and Sports Medicineta315implicit association testmedia_commondoping in sportDoping in Sports05 social sciencesAustraliaImplicit-association testprohibited substances030229 sport sciencesC800 PsychologyCross-Sectional StudiesAttitudeAthletesUnintentional dopingLinear Modelsperformance enhancing drugsFemaleImplicit attitudePsychologyPerformance enhancementSocial psychologyVigilance (psychology)
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Lay understanding of the causes of binge drinking in the United Kingdom and Australia: a network diagram approach

2017

​Binge drinking is associated with deleterious health, social and economic outcomes. This study explored the lay understanding of the causes of binge drinking in members of the general public in the United Kingdom and Australia. Participants in the United Kingdom (N = 133) and Australia (N = 102) completed a network diagram exercise requiring them to draw causal paths and provide path strength ratings between 12 candidate factors (24-h opening, age, alcohol advertizing, alcohol availability, boredom, drinking culture, income, low cost, parental influence, peer pressure, stress and supermarket discounts) and binge drinking. Results indicated good consistency in paths across samples, although…

AdultMaleC850 Cognitive Psychologymedicine.medical_specialtyC840 Clinical Psychologypeer pressure030508 substance abuseBinge drinkingPublic opinionboredomPeer GroupEducationParental influence03 medical and health sciencesC841 Health PsychologyC810 Applied Psychology0302 clinical medicinemedicineHumans030212 general & internal medicinePeer pressurePsychiatryPath analysis (statistics)Causal modelModels Statisticalbusiness.industryAustraliaPublic Health Environmental and Occupational HealthSocial Supportta3141BoredomDrinking cultureAwarenessC800 PsychologyUnited Kingdombinge drinkingFemaleethanolmedicine.symptom0305 other medical sciencebusinessPsychologyHealth Education Research
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