Pain exacerbation following physical activity in adults with diabetic neuropathy: Ecological momentary assessment of foot symptoms.

BACKGROUND AND OBJECTIVES: People with diabetic peripheral neuropathy (DPN) report fluctuating foot symptoms. This study used ecological momentary assessment to: (1) compare foot symptoms between days, time points and periods with/without preceding physical activity or pain medication; and (2) determine relationships between symptoms and endogenous pain modulation. METHOD: Ten low-active Australian adults with probable DPN underwent temporal summation of pain (TSP) and conditioned pain modulation (CPM) then completed mobile phone surveys five times daily for seven days, where they recorded the intensity of six foot symptoms and whether they performed physical activity or consumed pain medication in the preceding three hours.  RESULTS: All foot symptoms except numbness were greater in periods following physical activity, whereas periods following pain medication showed greater shooting pain. TSP showed very large correlations with sensitivity to touch, burning pain, shooting pain and prickling/tingling.  DISCUSSION: General practitioners should be aware that physical activity might exacerbate symptoms of DPN when encouraging their patients to be active.

Personal Activity Intelligence eHealth intervention in people with diabetic peripheral neuropathy: A feasibility study.

BACKGROUND AND OBJECTIVES: People with diabetic peripheral neuropathy (DPN) report difficulty exercising. This study tested an innovative intervention to promote physical activity self-management and its impact on foot symptoms. METHOD: Ten adults with DPN not meeting exercise guidelines consented to four weekly sessions involving exercise tasters, behaviour change counselling and Physical Activity Intelligence (PAI) self-monitoring, with a goal to maintain daily PAI scores ≥100. Foot symptoms were assessed using repeated mobile phone surveys at 0 and 12 weeks. RESULTS: Participants attended a mean 3.5 sessions and achieved 100 PAI on 53% and 15% of days during Weeks 2-4 and 5-12, respectively. No major adverse events and large reductions in aching (P=0.02) and burning pain (P=0.03) in the feet were recorded. DISCUSSION: The PAI eHealth intervention was feasible and safe and might reduce foot symptoms. More work is needed to support self-directed exercise maintenance.

High-intensity Interval Training for the Management of Nonalcoholic Steatohepatitis: Participant Experiences and Perspectives.

Background and Aims: High-intensity interval training (HIIT) is a therapeutic option for people with nonalcoholic steatohepatitis (NASH). However, the perspectives and experiences of HIIT for people with NASH are unknown, limiting translation of research. We explored the experiences and perspectives of both professionally supervised and self-directed HIIT in people with NASH and evaluated participant-reported knowledge, barriers, and enablers to commencing and sustaining HIIT. Methods: Twelve participants with NASH underwent 12 weeks of supervised HIIT (3 days/week, 4×4 minutes at 85-95% maximal heart rate, interspersed with 3 minutes active recovery), followed by 12-weeks of self-directed (unsupervised) HIIT. One-on-one, semistructured participant interviews were conducted by exercise staff prior to HIIT and following both supervised and self-directed HIIT to explore prior knowledge, barriers, enablers, and outcomes at each stage. Interviews were audio-recorded, transcribed, coded, and thematically analyzed by two independent researchers. Results: Four dominant themes were identified: (1) no awareness of/experience with HIIT and ambivalence about exercise capabilities; (2) multiple medical and social barriers to commencing and continuing HIIT; (3) exercise specialist support was a highly valued enabler, and (4) HIIT was enjoyed and provided holistic benefits. Conclusions: People with NASH may lack knowledge of and confidence for HIIT, and experience multiple complex barriers to commencing and continuing HIIT. Exercise specialist support is a key enabler to sustained engagement. These factors need to be addressed in future clinical programs to augment the uptake and long-term sustainability of HIIT by people with NASH so they can experience the range of related benefits.

The Relationship between Social Support for Physical Activity and Physical Activity across Nine Years in Adults Aged 60-65 Years at Baseline.

Physical activity is consistently recognized as a key component of healthy aging. The current study aimed to investigate the prospective association between social support specific for physical activity (SSPA) and physical activity across nine years among adults aged 60-65 years at baseline (n = 1984). An observational longitudinal design was used, with mail surveys administered to a population-based sample across four waves. SSPA was measured using a score ranging from 5-25, and physical activity was assessed as time spent in walking, or engaging in moderate and vigorous activity, during the previous week. Data were analyzed using linear mixed-effects models. The results demonstrated a positive significant relationship between SSPA and physical activity, accounting for sociodemographic and health variables. Each unit of increase in SSPA was associated with 11 extra minutes of physical activity per week (p < 0.001). There was a significant interaction between SSPA and wave at the final timepoint, such that the relationship was weaker (p = 0.017). The results highlight the value of even small increases in SSPA. SSPA could be targeted to promote physical activity among older adults, but may be more impactful in young-old adults. More research is needed to understand impactful sources of SSPA, underlying mechanisms between SSPA and physical activity, and potential moderation by age.

Social Support for Physical Activity Over 9 Years in Adults Aged 60-65 Years at Baseline.

Physical activity is a leading determinant of health and well-being in older adults; however, participation is low. Social support can significantly influence physical activity uptake and maintenance; however, most research is cross-sectional and does not differentiate among types of support. The current study assessed four types of social support for physical activity reported over 9 years by adults aged 60-65 at baseline (n = 1,984). Data were collected using a mail survey at four time points. Data were analyzed using linear mixed models. The most common type of support was emotional, with 25% of participants reporting this often/very often. Total support for activity declined by 16% across the 9 years (p < .001). Companionship had the greatest decline among types (17%-18%, p < .001). More work is needed to understand the factors contributing to the decline in support and how to enable access to support for physical activity in older adults.

Effect of Brief Counseling by Allied Health Professionals on Step Count of People With Peripheral Artery Disease: A Randomized Clinical Trial.

Importance: It is unclear how to effectively promote walking in people with peripheral artery disease (PAD). Objective: To test whether brief counseling delivered by allied health professionals increases step count in participants with PAD. Design, Setting, and Participants: In this randomized clinical trial, participants with symptomatic PAD were recruited from sites in Australia and randomly allocated 1:1 to the counseling intervention or an attention control. Data were collected from January 2015 to July 2021, and data were analyzed from March to November 2022. Interventions: Two 1-hour face-to-face and two 15-minute telephone counseling sessions designed to increase walking. Main Outcomes and Measures: The primary outcome was the between-group difference in change in daily step count estimated by accelerometer recordings over 7 days at baseline and 4 months, using imputation for missing values. Other outcomes at 4, 12, and 24 months included step count, 6-minute walk distance, and disease-specific and generic measures of health-related quality of life. Risk of major adverse limb events was assessed over 24 months. Results: Of 200 included participants, 144 (72.0%) were male, and the mean (SD) age was 69.2 (9.3) years. The planned sample of 200 participants was allocated to the counseling intervention group (n = 102) or attention control group (n = 98). Overall, 198 (99.0%), 175 (87.5%), 160 (80.0%) and 143 (71.5%) had step count assessed at entry and 4, 12, and 24 months, respectively. There was no significant between-group difference in the primary outcome of change in daily step count over 4 months (mean steps, 415; 95% CI, -62 to 893; P = .07). Participants in the counseling group had significantly greater improvement in the secondary outcome of disease-specific Intermittent Claudication Questionnaire score at 4 months (3.2 points; 95% CI, 0.1-6.4; P = .04) and 12 months (4.3 points; 95% CI, 0.5-8.1; P = .03) but not at 24 months (1.2 points; 95% CI, -3.1 to 5.6; P = .57). Findings were similar for mean PAD Quality of Life Questionnaire component assessing symptoms and limitations in physical functioning (4 months: 1.5 points; 95% CI, 0.3-2.8; P = .02; 12 months: 1.8 points; 95% CI, 0.3-3.3; P = .02; 24 months: 1.3 points; 95% CI. -0.5 to 3.1; P = .16). There was no significant effect of the intervention on change in mean 6-minute walking distance (4 months: 9.3 m; 95% CI, -3.7 to 22.3; P = .16; 12 months: 13.8 m; 95% CI, -4.2 to 31.7; P = .13; 24 months: 1.2 m; 95% CI, -20.0 to 22.5; P = .91). The counseling intervention did not affect the rate of major adverse limb events over 24 months (12 [6.0%] in the intervention group vs 11 [5.5%] in the control group; P > .99). Conclusions and Relevance: This randomized clinical trial found no significant effect of brief counseling on step count in people with PAD. Alternate interventions are needed to enable walking. Trial Registration: Australian New Zealand Clinical Trials Registry Identifier: ACTRN12614000592640.

Frequency of Physical Activity Done with a Companion: Changes Over Seven Years in Adults Aged 60+ Living in an Australian Capital City.

Objectives:This study examined how often adults 60+ years were physically active with a partner, close family, friends, and neighbors, over 7 years. Methods: Data from 2062 adults living in an Australian capital city were collected using a mail survey at four time points and analyzed using multinomial logistic regression. Results: A partner was the most frequent companion at all time points. From baseline to 7 years, the greatest decline was activity with family 1-4x/month (.79 [.64-.98]) and ≥5x/month (.54 [.36-.80]). There were also decreases in activity 1-4x/month with a partner (OR = .75, [.62-.92]), friends (.55 [.44-.68]), and neighbors (.79 [.64-.98]). Physical activity with friends or neighbors ≥5x/month did not decline. Discussion: Findings extend understanding of physical activity and activity companions among older adults. More research is needed to understand factors contributing to changes in activity done with companions.

Prospective associations between joint categories of physical activity and insomnia symptoms with onset of poor mental health in a population-based cohort.

BACKGROUND: Physical inactivity and insomnia symptoms are independently associated with increased risk of depression and anxiety; however, few studies jointly examine these risk factors. This study aimed to prospectively examine the joint association of physical activity (PA) and insomnia symptoms with onset of poor mental health in adults. METHODS: Participants from the 2013 to 2018 annual waves of the Household Income and Labour Dynamics in Australia panel study who had good mental health (Mental Health Inventory-5 >54) in 2013, and who completed at least 1 follow-up survey (2014-2018), were included (n = 10,977). Poor mental health (Mental Health Inventory-5 ≤ 54) was assessed annually. Baseline (2013) PA was classified as high/moderate/low, and insomnia symptoms (i.e., trouble sleeping) were classified as no insomnia symptoms/insomnia symptoms, with 6 mutually exclusive PA-insomnia symptom groups derived. Associations of PA-insomnia symptom groups with onset of poor mental health were examined using discrete-time proportional-hazards logit-hazard models. RESULTS: There were 2322 new cases of poor mental health (21.2%). Relative to the high PA/no insomnia symptoms group, there were higher odds (odds ratio and 95% confidence interval (95%CI)) of poor mental health among the high PA/insomnia symptoms (OR = 1.87, 95%CI: 1.57-2.23), moderate PA/insomnia symptoms (OR = 1.93, 95%CI: 1.61-2.31), low PA/insomnia symptoms (OR = 2.33, 95%CI: 1.96-2.78), and low PA/no insomnia symptoms (OR = 1.14, 95%CI: 1.01-1.29) groups. Any level of PA combined with insomnia symptoms was associated with increased odds of poor mental health, with the odds increasing as PA decreased. CONCLUSION: These findings highlight the potential benefit of interventions targeting both PA and insomnia symptoms for promoting mental health.

Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries.

AIMS: Prolonged screen time (ST) is a potential concern for poor wellbeing. This study aimed to examine the associations of different types of ST with life satisfaction among adolescents. METHODS: Data were from 380,446 adolescents (aged 11-15 years, 51% girls) across 37 European and North American countries who completed the 2010 and 2014 Health Behaviour in School-Aged Children surveys. Participants reported h/day during free time spent on television, electronic games, and computer/other devices. Life satisfaction was assessed using a 10-point scale (low life satisfaction ⩽5). RESULTS: Generalized additive modelling showed non-linear associations for each ST type, with low life satisfaction increasing monotonically for >1 h/day of electronic gaming or computer/other device and >2 h/day of watching television. Multilevel multivariable modelling showed that >4 h/day of watching television was associated with 26% higher odds for boys (OR 1.26; 95% CI:1.21-1.32) and 52% higher odds for girls (1.52; 1.46-1.59) of low life satisfaction than for ⩽1 h/day of television. Electronic gaming >4 h/day was associated with low life satisfaction with odds 42% higher in boys (1.42, 1.36-1.48) and 69% higher in girls (1.69, 1.61-1.76). A similar association was found for >4 h/day of computer/other device for boys (1.43, 1.37-1.49) and girls (1.71, 1.65-1.77). CONCLUSIONS: Low levels of ST may be beneficial; however, prolonged periods are associated with low life satisfaction among adolescents, in particular among girls. Results support ⩽2 h/day restriction of ST and highlight research is needed to understand underlying mechanisms of ST and wellbeing, which may not reflect active versus passive content.

Sources of occupational stress amongst dentistry academics.

BACKGROUND: Dentistry professionals may experience significantly higher occupational stress than other health professionals and dentistry academics may have specific work content and context sources of stress. AIMS: The aim of this study is to identify common sources of occupational stress, and how these are associated with wellbeing, in dentistry academics. MATERIALS & METHODS: A cross-sectional online survey with staff in Dentistry departments in Australia and New Zealand. Assessment included 23 items from five general domains of occupational stress from the NIOSH-Generic Job Stress Questionnaire, a 23-item list of sources of stress and the 22-item Psychological General Well-Being Index. Analyses used descriptive statistics and multiple linear regression. RESULTS: A total of 107 respondents (average age 50 ± 11.7 years, 56.8% men) completed the survey. Leading sources of occupational stress were job future, time pressure at work, work overload, and administration demands. A multiple linear regression model significantly predicted wellbeing, F(8,77) = 13.141, p = .000, adj.R2  = .53, but there were no significant associations for any of the specific sources of stress. CONCLUSION: The combination of time pressure, workload and responsibility, job dissatisfaction, low social support, and uncertain job future was inversely associated with wellbeing amongst these dentistry academics. Future studies should consider the development and evaluation of interventions to address these concerns.

Longitudinal Association of Physical Activity, Mastery and Psychological Distress in Mid-Aged Adults over 9-Years.

Psychological distress is highly prevalent and associated with significant adverse health outcomes and economic burden. Mastery and physical activity are potential resources to reduce distress and promote wellbeing; however, previous research has not examined their potential interactive relationship over time. The purpose of this study was to explore associations between mastery, physical activity, and distress in mid-aged adults over nine years. Data from a longitudinal mail survey study including the Kessler 6, Pearlin Mastery Scale, and items assessing time spent in physical activity were examined in a sample of 4404 adults aged 40 to 54 years at baseline. Group-Based Trajectory Models identified two distinct trajectories of psychological distress (elevated and low). Generalized Estimating Equations were used to assess mastery and physical activity, adjusting for sociodemographic and health variables, as predictors for the probability of distress group membership. The odds of elevated distress over time were significantly reduced in people with higher mastery (OR = 0.13; 95% 0.11-0.15) and doing at least 150 min/week of physical activity (OR = 0.81; 95% 0.68-0.96). There was no significant interaction between mastery and physical activity. Mastery and physical activity may be important resources to mitigate distress and further research is needed to evaluate interventions promoting these resources and the impact on mid-aged adults experiencing psychological distress.

Diabetes and physical activity: A prospective cohort study.

Diabetes is on the rise as the worldwide population ages. While physical activity can help protect against diabetes, ageing is commonly associated with reduced physical activity. This study aimed to examine if physical activity differs by diabetes status in mid-aged adults, how this association changes over time, and whether physical activity-related sociodemographic factors and health indicators differ in those with and without diabetes. Data came from four waves of the How Areas in Brisbane Influence HealTh and AcTivity (HABITAT), a longitudinal study of mid-age adults living in Brisbane, Australia. Random effects/Expectation-maximisation (RE-EM) regression trees were used to identify factors affecting physical activity among those with and without diabetes, both separately and combined. At study entry, those with diabetes had a higher median age of 58 years (95% CI: 57-60) and a lower median physical activity of 699 MET.min/week (95% CI: 599-799) than people without diabetes (53 years (95% CI: 53-53) and 849 MET.min/week (95% CI: 799-899)). However, the strongest factors influencing physical activity were BMI and gender, not diabetes status. It is vital to promote physical activity among adults, in particular among those with high BMI and women, as well as those with and at high risk of diseases like diabetes.

Accelerometer-measured physical activity in mid-age Australian adults.

BACKGROUND: Raw data from accelerometers can provide valuable insights into specific attributes of physical activity, such as time spent in intensity-specific activity. The aim of this study was to describe physical activity assessed with raw data from triaxial wrist-worn accelerometers in mid-age Australian adults. METHODS: Data were from 700 mid-age adults living in Brisbane, Australia (mean age: 60.4; SD:7.1 years). Data from a non-dominant wrist worn triaxial accelerometer (Actigraph wGT3X-BT), expressed as acceleration in gravitational equivalent units (1 mg = 0.001 g), were used to estimate time spent in moderate-vigorous intensity physical activity (MVPA; >100 mg) using different bout criteria (non-bouted, 1-, 5-, and 10-min bouts), and the proportion of participants who spent an average of at least one minute per day in vigorous physical activity. RESULTS: Mean acceleration was 23.2 mg (SD: 7.5) and did not vary by gender (men: 22.4; women: 23.7; p-value: 0.073) or education (p-value: 0.375). On average, mean acceleration was 10% (2.5 mg) lower per decade of age from age 55y. The median durations in non-bouted, 1-min, 5-min and 10-min MVPA bouts were, respectively, 68 (25th -75th : 45-99), 26 (25th -75th : 12-46), 10 (25th -75th : 3-24) and 8 (25th -75th : 0-19) min/day. Around one third of the sample did at least one minute per day in vigorous intensity activities. CONCLUSION: This population-based cohort provided a detailed description of physical activity based on raw data from accelerometers in mid-age adults in Australia. Such data can be used to investigate how different patterns and intensities of physical activity vary across the day/week and influence health outcomes.

Utilizing Technology for Diet and Exercise Change in Complex Chronic Conditions Across Diverse Environments (U-DECIDE): Protocol for a Randomized Controlled Trial.

BACKGROUND: The metabolic syndrome is common across many complex chronic disease groups. Advances in health technology have provided opportunities to support lifestyle interventions. OBJECTIVE: The purpose of this study is to test the feasibility of a health technology-assisted lifestyle intervention in a patient-led model of care. METHODS: The study is a single-center, 26-week, randomized controlled trial. The setting is specialist kidney and liver disease clinics at a large Australian tertiary hospital. The participants will be adults with a complex chronic condition who are referred for dietetic assessment and display at least one feature of the metabolic syndrome. All participants will receive an individualized assessment and advice on diet quality from a dietitian, a wearable activity monitor, and standard care. Participants randomized to the intervention group will receive access to a suite of health technologies from which to choose, including common base components (text messages) and optional components (online and mobile app-based nutrition information, an online home exercise program, and group-based videoconferencing). Exposure to the optional aspects of the intervention will be patient-led, with participants choosing their preferred level of engagement. The primary outcome will be the feasibility of delivering the program, determined by safety, recruitment rate, retention, exposure uptake, and telehealth adherence. Secondary outcomes will be clinical effectiveness, patient-led goal attainment, treatment fidelity, exposure demand, and participant perceptions. Primary outcome data will be assessed descriptively and secondary outcomes will be assessed using an analysis of covariance. This study will provide evidence on the feasibility of the intervention in a tertiary setting for patients with complex chronic disease exhibiting features of the metabolic syndrome. RESULTS: The study was funded in 2019. Enrollment has commenced and is expected to be completed by June 2022. Data collection and follow up are expected to be completed by December 2022. Results from the analyses based on primary outcomes are expected to be submitted for publication by June 2023. CONCLUSIONS: The study will test the implementation of a health technology-assisted lifestyle intervention in a tertiary outpatient setting for a diverse group of patients with complex chronic conditions. It is novel in that it embeds patient choice into intervention exposure and will inform health service decision-makers in regards to the feasibility of scale and spread of technology-assisted access to care for a broader reach of specialist services. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ACTRN12620001282976; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378337. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37556.

Individual socioeconomic position, neighbourhood disadvantage and mental well-being: a cross-sectional multilevel analysis of mid-age adults.

BACKGROUND: Socioeconomic disadvantage is associated with mental illness, yet its relationship with mental well-being is unclear. Mental well-being is defined as feeling good and functioning well. Benefits of mental well-being include reduced mortality, improved immune functioning and pain tolerance, and increased physical function, pro-social behaviour, and academic and job performance. This study aims to explore the relationship between individual socioeconomic position (SEP), neighbourhood disadvantage and mental well-being in mid-age adults. METHODS: Multilevel modelling was used to analyse data collected from 7866 participants from the second (2009) wave of HABITAT (How Areas in Brisbane Influence healTh and activiTy), a longitudinal study (2007-2018) of adults aged 40-65 years living in Brisbane, Australia. Mental well-being was measured using the Warwick Edinburgh Mental Well-Being Scale (WEMWBS). Exposure measures were education, occupation, household income, and neighbourhood socioeconomic disadvantage. RESULTS: The lowest MWB scores were observed for the least educated (ß = - 1.22, 95%CI = - 1.74, - 0.71), those permanently unable to work (ß = - 5.50, 95%CI = - 6.90, - 4.10), the unemployed (ß = - 2.62, 95%CI = - 4.12, - 1.13), and members of low-income households (ß = - 3.77, 95%CI = - 4.59, - 2.94). Residents of the most disadvantaged neighbourhoods had lower MWB scores than those living in the least disadvantaged neighbourhoods, after adjustment for individual-level SEP (ß = - 0.96, 95%CI = - 1.66, - 0.28). CONCLUSIONS: Both individual-level SEP and neighbourhood disadvantage are associated with mental well-being although the association is stronger for individual-level SEP. This research highlights the need to address individual and neighbourhood-level socioeconomic determinants of mental well-being.

Effects of fitness and fatness on age-related arterial stiffening in people with type 2 diabetes.

People with type 2 diabetes (T2D) are at a greater risk of cardiovascular disease than the general population. Both non-modifiable (age) and modifiable (low aerobic fitness, high body fatness) factors are separately predictive of cardiovascular risk, although they often occur concomitantly. This study aimed to examine the (1) association between age and arterial stiffness, a subclinical marker of cardiovascular risk; and (2) effects of body fatness and aerobic fitness on age-related increases in arterial stiffness in people with T2D. Data from 64 individuals with T2D (age 59.8 ± 8.7 years, 40% female, HbA1c 8.4 ± 1.6%) were included in this cross-sectional analysis. Carotid-femoral pulse wave velocity (cfPWV) was used to quantify arterial stiffness. Aerobic fitness (relative V̇O2peak ) was determined via indirect calorimetry during maximal exercise testing. Central body fatness was determined using waist circumference. Data were analysed using hierarchical multiple regressions. After adjustment for sex and duration of T2D, each one standard deviation (SD) increase in age (8.68 years) was associated with a 0.63 m·s-1 increase in cfPWV (ß = 0.416, p = 0.001). Following adjustment for aerobic fitness and body fatness, the standardized ß was unchanged (0.417). A one SD increase in waist circumference (13.9 cm) and relative V̇O2peak (5.3 ml·kg-1 ·min-1 ) were associated with a similar magnitude of difference in cfPWV (0.47 m·s-1 and -0.44 m·s-1 , respectively). Therefore, age is a significant correlate of increased arterial stiffness in T2D, with higher aerobic fitness attenuating, and higher body fatness exacerbating, this increase. Interventions aimed at improving cardiovascular outcomes in people with T2D should target both increased aerobic fitness and reduced body fatness.

Ageing attitudes and mental health in middle and later adulthood: The buffering effect of education.

OBJECTIVE: Negative attitudes towards ageing have been associated with poor mental well-being, and protective factors are not well-understood. This study examined the relationship between ageing attitudes and symptoms of anxiety and depression, and the potential moderating effect of age, and buffering effects of social support, physical activity and education. METHODS: This study used a subsample of 482 adults aged 50+ years from a mail questionnaire study in Brisbane, Australia. Data were analysed using linear regression. RESULTS: People with more positive ageing attitudes reported fewer symptoms of anxiety and depression, with no moderating effect of age. There was a significant interaction between ageing attitudes and education on depression, and a similar trend for anxiety. CONCLUSIONS: This study confirmed the adverse impacts of negative ageing attitudes on mental health and indicated that those with low education may be most vulnerable. This has implications for future research and targeting interventions for mental health promotion.

Promoting exercise for patients with multiple myeloma: attitudes and practices of clinical haematologists.

PURPOSE: To explore the attitudes and practices of clinical haematologists towards promoting physical activity (PA) and exercise for patients with multiple myeloma (MM). METHODS: Using a quantitative cross-sectional survey, clinical haematologists reported on the perceived benefits and acceptability of PA and exercise and frequency, confidence and barriers to providing exercise advice. RESULTS: Clinical haematologists (n=34; 68% response rate), who cumulatively treated ~340 patients with MM each week, completed the survey. Almost all (97%) agreed that PA was important, with benefits for quality of life, activities of daily living, mental health and fatigue. Whilst 88% discussed PA at least occasionally with their patients, approximately two-thirds were not confident advising specific exercises (68%) or identifying PA resources (62%). Despite this, 44% never referred patients to exercise professionals, with 18% only doing so if the patient asked. Over half did not recommend exercise when patients had spine fractures or were physically unwell. No differences were observed in individual factors (age, gender, practice type and own PA participation) and promotion of PA. CONCLUSIONS: Clinical haematologists perceive PA as important, but lack confidence on what exercise/s to recommend and if exercise is appropriate for specific disease complications. They tend to not refer patients to exercise professionals. IMPLICATIONS FOR CANCER SURVIVORS: Patients with MM often suffer from symptoms and toxicities that may be alleviated through PA. However, PA participation rates are low. Support for clinical haematologists for when and how to discuss exercise, and clearer referral pathways to exercise professionals may improve PA uptake and hence ensure access to optimal care, thereby improving patient outcomes.

Dysfunctional beliefs, sleep hygiene and sleep quality in university students.

ISSUE ADDRESSED: Poor sleep quality is common among university students and can have negative implications for physical, emotional, cognitive and academic wellbeing. Previous research has identified that sleep beliefs and sleep behaviours are associated with poor sleep quality. However, few studies have examined these variables simultaneously. This study explored associations between dysfunctional beliefs about sleep, sleep hygiene and sleep quality in a sample of university students. METHODS: Participants were recruited from a pool of undergraduate psychology students and included 120 male students and 145 female students with an average age of 20 years (SD = 5.10). Participants completed an online survey including the Pittsburgh Sleep Quality Index, Dysfunctional Beliefs and Attitudes About Sleep Scale, Sleep Hygiene Index and demographic items. RESULTS: Overall 60.4% of participants (59.4% of women, 40.6% of men) had poor sleep quality. Logistic regression indicated a significant positive association between sleep hygiene and sleep quality, OR = 1.16, P >.001, 95% CI (1.10, 1.23), and no significant relationship between dysfunctional beliefs about sleep and sleep quality, OR = 1.03, P > .79, 95% CI (0.84, 1.26), after adjusting for covariates. CONCLUSIONS: Sleep interventions for university students are needed and could focus on common hygiene components, such as using the bed for activities other than sleeping, engaging in arousing activities before bed and how to manage thinking and worrying before bed. So What? The results of the study demonstrate poor sleep quality is common among university students and indicates that sleep interventions are warranted. The positive association found between sleep hygiene and sleep quality highlights that interventions should focus on behavioural components of sleep.