Optimal psychological states in advanced climbers: Antecedents,characteristics, and consequences of flow and clutch states

ObjectivesOptimal psychological states (e.g., flow) are particularly valued by rock-climbers. The integrated model of flow and clutch states has shown promise for better understanding optimal states in sport psychology. The current study examined the antecedents, characteristics, and consequences of these states among rock-climbers in relation to the integrated model. A secondary objective was to compare optimal psychological states across outdoor and indoor rock-climbing contexts.DesignA sequential-explanatory (QUAN → qual) design was used.MethodNine male and four female advanced rock-climbers completed a flow questionnaire immediately after every climbing route during two separate climbing sessions (i.e., one outdoor, one indoor). Intensity sampling was used to identify participants for 13 semi-structured interviews, based on high- or low-score thresholds established by the research team. Data were analysed using reflexive thematic analysis and abductive reasoning.ResultsParticipants reported an optimal state during at least one of their climbs in 72% of their outdoor sessions and 40% of their indoor sessions. A focus on exploring routes was reported as preceding flow states, which were characterised by enjoyment of effortless movement for its own sake. In contrast, specific goals and additional risk-based pressure were reported as preceding clutch states, which were described as exerting maximal effort. After experiencing flow, participants reported additional vitality. Following clutch states, participants reported feeling accomplished, despite reporting exhaustion.ConclusionsThis study suggests potential antecedents, characteristics, and consequences of two distinct, yet overlapping, optimal states that appear to occur during both indoor and outdoor climbing. Findings extend understanding of the integrated flow and clutch state model beyond traditional sport and exercise contexts and demonstrates the utility of the model for adventure recreation. Recommendations for future research include testing, refining, and expanding the integrated model of flow and clutch.     

Proneness for psychological flow in everyday life: Associations with personality and intelligence

Flow is an experience of enjoyment, concentration, and low self-awareness that occurs during active task performance. We investigated associations between the tendency to experience flow (flow proneness), Big Five personality traits and intelligence in two samples. We hypothesized a negative relation between flow proneness and neuroticism, since negative affect could interfere with the affective component of flow. Secondly, since sustained attention is a component of flow, we tested whether flow proneness is positively related to intelligence. Sample 1 included 137 individuals who completed tests for flow proneness, intelligence, and Big Five personality. In Sample 2 (all twins; n = 2539), flow proneness and intelligence, but not personality, were measured. As hypothesized, we found a negative correlation between flow proneness and neuroticism in Sample 1. Additional exploratory analyses revealed a positive association between flow proneness and conscientiousness. There was no correlation between flow proneness and intelligence. Although significant for some comparisons, associations between intelligence and flow proneness were also very weak in Sample 2. We conclude that flow proneness is associated with personality rather than intelligence, and discuss that flow may be a state of effortless attention that relies on different mechanisms from those involved in attention during mental effort.     

Using self-determination theory to understand motivation for walking: Instrument development and model testing using Bayesian structural equation modelling

ObjectiveThe motivational processes underpinning walking behaviour are not well understood. This study aimed to develop walking-specific motivation measures drawn from self-determination theory (SDT), assess the psychometric properties of the measures, incorporating Baysesian structural equation modelling (BSEM), and examine how these variables relate to walking behaviour.MethodParticipants (n = 298; mean age = 41.69; S.D. = 11.06; male = 57) completed the Behavioural Regulations in Walking Questionnaire (BRWQ), Psychological Needs Satisfaction for Walking Scale (PNSWS) and the IPAQ-long form, from which measures of workplace, transport and leisure walking were extracted. BSEM was used to test the hypothesized factor structures of the BRWQ and PNSWS. Internal reliabilities were assessed using the composite reliability coefficient. Convergent and discriminant validity were assessed by examining the relationships between the variables in relation to established theory.ResultsBSEM showed excellent fit for the BRWQ and PNSWS measurement models. The scales demonstrated good internal consistency. The associations within and between the BRWQ and PNSWS subscales were generally as expected. The relationship between the BRWQ subscales and walking for transport and leisure were also generally as expected, but there were no significant relationships for walking at work. Two PNSWS subscales were significantly related to walking for leisure, but no significant relationships were evident for walking for transport and at work.ConclusionsThere is preliminary evidence for the acceptable psychometric properties of instruments to measure SDT constructs in walking, and the findings highlight the advantages of BSEM. The findings also suggest that the motivational processes underpinning walking may vary by type of walking.