A scoping review exploring how adults self-describe and communicate about the listening difficulties they experience

Objective: It is unknown how adults communicate about their experienced listening difficulties with their audiologist. This scoping review aims to explore how adults self-describe the listening difficulties that they experience, and how they communicate about them. Design: A scoping review was conducted between December 2020 and September 2022 to identify published journal articles in which adults described and communicated about their listening difficulties. Study sample: Database searches yielded 10,224 articles initially. After abstract screening and full text review, 55 articles were included for analysis. Results: The listening difficulties that adults described were varied, highlighting the fact that each person has individual experiences. Adults discussed reasons for their listening difficulties, impacts of their listening difficulties, and behavioural responses they adopted to cope with their listening difficulties. Conclusions: This review shows the broad impacts of listening difficulties, and the varied ways in which adults discuss their listening difficulties. There is no available literature reporting how adults communicate about their listening difficulties in a clinical context.</p

Optimising web-based computer-tailored physical activity interventions for prostate cancer survivors: A randomised controlled trial examining the impact of website architecture on user engagement

Background: Web-based computer-tailored interventions can assist prostate cancer survivors to become more physically active by providing personally relevant behaviour change support. This study aimed to explore how changing the website architecture (free choice vs. tunnelled) impacted engagement within a physical activity computer-tailored intervention targeting prostate cancer survivors. Methods: On a 2:2:1 ratio, 71 Australian prostate cancer survivors with local or locally advanced disease (mean age: 66.6 years ± 9.66) were randomised into either a free-choice (N = 27), tunnelled (N = 27) or minimal intervention control arm (N =17). The primary outcome was differences in usage of the physical activity self-monitoring and feedback modules between the two intervention arms. Differences in usage of other website components between the two intervention groups were explored as secondary outcomes. Further, secondary outcomes involving comparisons between all study groups (including the control) included usability, personal relevance, and behaviour change. Results: The average number of physical activity self-monitoring and feedback modules accessed was higher in the tunnelled arm (M 2.6 SD 1.3) compared to the free-choice arm (M 1.5 SD 1.4), p = 0.01. However, free-choice participants were significantly more likely to have engaged with the social support (p = 0.008) and habit formation (p = 0.003) ‘once-off’ modules compared to the standard tunnelled arm. There were no other between-group differences found for any other study outcomes. Conclusion: This study indicated that website architecture influences behavioural engagement. Further research is needed to examine the impact of differential usage on mechanisms of action and behaviour change. © 2020 by the authors. Licensee MDPI, Basel, Switzerland

Patterns of physical activity, sitting time, and sleep in Australian adults: A latent class analysis

Objective: To identify the patterns of activity, sitting and sleep that adults engage in, the demographic and biological correlates of activity-sleep patterns and the relationship between identified patterns and self-rated health. Design and Setting: Online panel of randomly selected Australian adults (n = 2034) completing a cross-sectional survey in October-November 2013. Participants: Panel members who provided complete data on all variables were included (n = 1532). Measurements: Participants self-reported their demographic characteristics, height, weight, self-rated health, duration of physical activity, frequency of resistance training, sitting time, sleep duration, sleep quality, and variability in bed and wake times. Activity-sleep patterns were determined using latent class analysis. Latent class regression was used to examine the relationships between identified patterns, demographic and biological characteristics, and self-rated health. Results: A 4-class model fit the data best, characterized by very active good sleepers, inactive good sleepers, inactive poor sleepers, moderately active good sleepers, representing 38.2%, 22.2%, 21.2%, and 18.4% of the sample, respectively. Relative to the very active good sleepers, the inactive poor sleepers, and inactive good sleepers were more likely to report being female, lower education, higher body mass index, and lower self-rated health, the moderately active good sleepers were more likely to be older, report lower education, higher body mass index and lower self-rated health. Associations between activity-sleep pattern and self-rated health were the largest in the inactive poor sleepers. Conclusions: The 4 activity-sleep patterns identified had distinct behavioral profiles, sociodemographic correlates, and relationships with self-rated health. Many adults could benefit from behavioral interventions targeting improvements in physical activity and sleep. © 2020 National Sleep Foundatio

Self-efficacy, motivation, and habits: psychological correlates of exercise among women with breast cancer

Abstract Purpose The purpose of this analysis was to explore associations between exercise behaviour among breast cancer survivors and three behavioural constructs from distinct theories: self-efficacy from social cognitive theory, motivation from self-determination theory, and habits from habit theory. Methods Breast cancer survivors (n = 204) completed a cross-sectional survey that collected demographic and disease characteristics, exercise levels, and self-efficacy, motivation, and habits. Multivariable linear regression models were used to identify constructs associated with total activity and resistance training. Results Participants were a mean (SD) age of 57.3 (10.8) years and most were diagnosed with early-stage disease (72%) and engaged in sufficient levels of total activity (94%), though only 45% completed ≥ 2 resistance training sessions/week. Identified motivation (ꞵ[95% CI] = 7.6 [3.9–11.3]) and habits (ꞵ[95% CI] = 4.4 [1.4–7.4]) were significantly associated with total activity (as were body mass index and disease stage), whilst identified motivation (ꞵ[95% CI] = 0.6 [0.3–0.9]) and coping self-efficacy (ꞵ[95% CI] = 0.02 [< 0.01–0.03]) were significantly associated with resistance training. The models explained 27% and 16% of variance in total activity and resistance training behaviour, respectively. Conclusion Results suggest that incorporating strategies that support identified motivation, habits, and coping self-efficacy in future interventions could promote increased exercise behaviour among breast cancer populations. Future longitudinal research should examine associations with exercise in a more representative, population-based sample

sj-sps-4-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?

sj-sps-4-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p

sj-sav-1-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?

sj-sav-1-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p

Flex: An App that enhances automatic evaluations

Emotion dysregulation is a known risk factor for a variety of maladaptive eating behaviors, including emotional eating. New passive sensing technologies offer the prospect of detecting emotion dysregulation in real-time through measurement of heart rate variability (HRV), a transdiagnostic bio-signal of emotion regulation, which may in turn signal risk of engaging in a maladaptive eating behavior. In the current study, our primary aim was to test whether momentary changes in HRV can be used to detect risk of experiencing an emotional eating episode in an ecologically valid setting using a wrist worn sensor

sj-spv-3-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?

sj-spv-3-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p

sj-pdf-2-hpq-10.1177_13591053221137184 – for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement?

sj-pdf-2-hpq-10.1177_13591053221137184 for Does matching a personally tailored physical activity intervention to participants’ learning style improve intervention effectiveness and engagement? by Stephanie Alley, Ronald C Plotnikoff, Mitch J Duncan, Camille E Short, Kerry Mummery, Quyen G To, Stephanie Schoeppe, Amanda Rebar and Corneel Vandelanotte in Journal of Health Psychology</p

Flex: An App that enhances automatic evaluations

Emotion dysregulation is a known risk factor for a variety of maladaptive eating behaviors, including emotional eating. New passive sensing technologies offer the prospect of detecting emotion dysregulation in real-time through measurement of heart rate variability (HRV), a transdiagnostic bio-signal of emotion regulation, which may in turn signal risk of engaging in a maladaptive eating behavior. In the current study, our primary aim was to test whether momentary changes in HRV can be used to detect risk of experiencing an emotional eating episode in an ecologically valid setting using a wrist worn sensor