Objectives: This study aimed to understand the experience and impact of a physical activity and sleep wrist-worn tracker (Fitbit)-based healthy lifestyle intervention for older patients attending a memory assessment s...Objectives: This study aimed to understand the experience and impact of a physical activity and sleep wrist-worn tracker (Fitbit)-based healthy lifestyle intervention for older patients attending a memory assessment service, who are experiencing cognitive impairment but do not receive a dementia diagnosis. Methods: A qualitative design was employed. Semi-structured interviews were conducted with a purposeful sample of thirteen participants recruited from a memory assessment service. Thematic analysis, that was data driven and inductive, was undertaken to analyse the data. Results: Two global themes were developed. “Understanding exercise and sleep as part of my lifestyle” was made up of themes representing how participants viewed exercise and sleep as part of their lifestyles in terms of acknowledging the positive impacts and the barriers to exercise and sleep. The second global theme “Understanding my experience of the healthy lifestyle intervention” was made up of themes that identified the positive impact of the intervention regarding improving health and wellbeing, enabling validation of proactive behaviours and motivation to engage in healthy lifestyle behaviours, so promoting positive behaviour change. Conclusion: Patients experiencing age-related cognitive impairment, applied and benefited from a healthy lifestyle Fitbit-based intervention to facilitate and promote physical activity, better sleep hygiene and healthy lifestyles.展开更多
Research Background: Compared to the general population, people experiencing age-related cognitive decline are more likely to have low levels of physical activity and sleep problems. Sufficient physical activity and q...Research Background: Compared to the general population, people experiencing age-related cognitive decline are more likely to have low levels of physical activity and sleep problems. Sufficient physical activity and quality sleep are protective factors against cognitive decline and poor health and can improve coping with stressors. The “Active Feedback” intervention comprises a wearable activity and sleep tracker (Fitbit), access to Fitbit software healthy lifestyle software apps;one session with Memory Assessment Service (MAS) staff providing physical activity and sleep hygiene advice and two further engagement, discussion, and feedback sessions. Purpose/Aim: This study investigates the acceptability and feasibility of Active Feedback and the effect on stress, mental wellbeing, and sleep quality, and the links between these factors. Methods: An open-label patient cohort design with no control group was used. Pre-intervention, 4-week and 8-week intervention assessments were performed using participant self-report measures: Perceived Stress Scale (PSS), Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS), and Sleep Conditioning Index (SCI). Twenty-five participants completed an eight-week three-session intervention (18 males and 7 females), with the age range of 66 - 84 years old, and average age of 73.8 years (SD = 5.09). Fifteen participants had a diagnosis of MCI, ten participants did not. Results: There were non-significant improvements in SCI scores from 21.0 (SD = 8.84) to 21.6 (SD = 6.20) at 8 weeks, PSS scores from 17.5 (SD = 5.89) to 17.0 (SD = 6.20) at 8 weeks, and WEMWBS scores from 46.9 (SD = 9.23) to 48.8 (SD = 9.69) at 8 weeks. There were negative correlations between WEMWBS and PSS. Conclusion: Active Feedback intervention was found to be feasible and acceptable. Active Feedback could be enhanced to include motivational interviewing and goal setting.展开更多
Background: Compared to the general population, people who are at a high risk of or experience severe mental illness (SMI) such as psychosis, are more likely to have low levels of physical activity, high levels of sed...Background: Compared to the general population, people who are at a high risk of or experience severe mental illness (SMI) such as psychosis, are more likely to have low levels of physical activity, high levels of sedentary behaviour, and sleep problems. Intervention: The Well-Track intervention comprises a wearable activity and sleep tracker (Fitbit);one session with mental health service staff providing physical activity and sleep hygiene advice;a brief motivational interview;completing a goal setting workbook;and one or two further engagement, feedback and discussion sessions. Participants: Twenty-four participants using an early intervention in psychosis (EIP) or at-risk mental state (ARMS) service completed an eight-week, three session intervention (14 males and 10 females), with an age range of 18 - 61, and average age of 27.75 years. Methods: An open-label patient cohort design with no control group. Pre-intervention, 4-week and 8-week intervention assessments using participant self-report measures: Patient Health Questionnaire (PHQ-9) (depression), Warwick–Edinburgh Mental Wellbeing Scale (WEMWBS), and Sleep Conditioning Index (SCI);and clinician measurement of body weight. Results: Mean scores showed a significant improvement in PHQ-9 from 9.29 (SD 5.89) to 5.58 (SD 3.68) at 4 weeks and to 5.83 (SD 4.40) at 8 weeks, with large effect sizes. For those who met a diagnosis of depression at baseline, at 4 week follow-up seven participants (26%) experienced remission and nine (33%) reliable improvement, and at 8 week follow-up four (21%) experienced remission and seven (37%) reliable improvement. WEMWBS scores significantly improved, from 44.04 (SD 9.44) to 48.54 (SD 8.71) at 4 weeks and to 48.67 (SD 8.76) at 8 weeks, with large effect sizes. Body weight did not change significantly, remaining unchanged at 4 weeks and reduced from a mean of 82.8 kg (baseline) to 80.15 kg at 8 weeks, a reduction of 2.65 kg. Conclusion: Well-Track was integrated into an EIP and ARMS service and was found to be beneficial in t展开更多
Background: Physical activity and sleep are interconnected with mental health, physical health, wellbeing, quality of life, cognition, and functioning. Compared to the general population, people who experience psychos...Background: Physical activity and sleep are interconnected with mental health, physical health, wellbeing, quality of life, cognition, and functioning. Compared to the general population, people who experience psychosis are more likely to have low levels of physical activity, high levels of sedentary behaviour, and sleep problems. Intervention: The Well-Track intervention addresses these issues through: provision of a wearable activity and sleep tracker (Fitbit);physical activity and sleep hygiene advice;a brief motivational interview;a goal-setting workbook;and three engagement, feedback and discussion sessions with early intervention in psychosis (EIP) staff. Participants: Thirty participants using an EIP service took part in an eight-week intervention. Thirteen participants (6 males;7 females) with an age range of 18 to 61 years old (M = 28 years) took part in an interview. Methods: A qualitative approach was used to conduct in-depth semi-structured interviews. Thematic and content analyses were employed to analyse the data. Results: Participants set goals, made lifestyle changes to their daily routine and integrated a Fitbit and its functions into their lives that resulted in more physical activity and enabled more effective sleep. This resulted in improved self-management, positive feelings and thoughts, motivation, confidence, social engagement, mood, health, and wellbeing. Participants made progress towards goals they had set. Conclusion: Well-Track has been successfully integrated into an EIP service and it could be delivered through all EIP and other healthcare services where there is a need to promote healthy lifestyle behaviours.展开更多
Purpose This study aimed to examine the effects of a multi-component mobile health intervention(wearable,apps,and social media)on cancer survivors’(CS')physical activity(PA),quality of life,and PA determinants co...Purpose This study aimed to examine the effects of a multi-component mobile health intervention(wearable,apps,and social media)on cancer survivors’(CS')physical activity(PA),quality of life,and PA determinants compared to exercise prescription only,social media only,and attention control conditions.Methods A total of 126 CS(age=60.37±7.41 years,mean±SD)were recruited from the United States.The study duration was 6 months and participants were randomly placed into 4 groups.All participants received a Fitbit tracker and were instructed to install its companion app to monitor their daily PA.They(1)received previously established weekly personalized exercise prescriptions via email,(2)received weekly Facebook health education and interacted with one another,(3)received both Conditions 1 and 2,or(4)were part of the control condition,meaning they adopted usual care.CS PA daily steps,quality of life(i.e.,physical health and mental health),and PA determinants(e.g.,self-efficacy,social support)were measured at baseline,3 months,and 6 months.Results The final sample size included 123 CS.The results revealed only the multi-component condition had greater improvements in PA daily steps than the control condition post-intervention(95%confidence interval(95%CI):368–2951;p<0.05).Similarly,those in the multi-component condition had significantly greater increased physical health than the control condition(95%CI:–0.41 to–0.01;p<0.05)over time.In addition,the social media condition had significantly greater increased perceived social support than the control condition(95%CI:0.01–0.93;p<0.05).No other significant differences on outcomes were identified.Conclusion The study findings suggest that the implementation of a multi-component mobile health intervention had positive effects on CS PA steps and physical health.Also,offering social media intervention has the potential to improve CS perceived social support.展开更多
Purpose: Compared to levels in the general population, people with experiences of psychosis have poorer physical fitness, more sedentary behaviour, lower physical activity, more sleep problems, and a higher incidence ...Purpose: Compared to levels in the general population, people with experiences of psychosis have poorer physical fitness, more sedentary behaviour, lower physical activity, more sleep problems, and a higher incidence of insomnia. The aim of the current study was to examine the feasibility and impact of an intervention with the goal of addressing these issues. Method: Design: intervention with outcome measure data collection, with no control group. Forty-nine early intervention psychosis (EIP) service patients took part in an intervention: provision of a Fitbit, Fitbit software apps, sleep hygiene, and physical activity guidance, and three discussion sessions with clinicians. The sample consisted of 29 males and 20 females, with age range of 17 - 54 years, and average age of 29.5 years. Measures used were Fitbit activity and sleep data, and self-rated Warwick–Edinburgh Mental Wellbeing Scale (WEMWBS) and Positive and Negative Affect Schedule (PANAS). Results: WEMWBS scores significantly improved, with a medium effect size. PANAS negative affect (NA) dropped significantly. Analysis of Fitbit activity and sleep data yielded non-significant results. Conclusion: The intervention was acceptable to EIP patients and is feasible. Improvements in mental wellbeing and negative affect indicate the positive impact of the intervention on mental health. EIP services should consider assessing sleep quality and physical activity/exercise levels, and using this study’s intervention to promote wellbeing and mental health within recovery focused practice. Further research could be undertaken through a sufficiently powered randomised control trial (RCT) comparing this intervention and treatment as usual (TAU).展开更多
Consumer-wearable activity trackers have been used for monitoring health-related metrics to estimate steps, distance, physical activity, energy expenditure, and sleep. The purpose of this mini review was to summarize ...Consumer-wearable activity trackers have been used for monitoring health-related metrics to estimate steps, distance, physical activity, energy expenditure, and sleep. The purpose of this mini review was to summarize the evidence for validity of the most popular wrist-worn activity tracker (Fitbit) to estimate those health-related metrics in Parkinson disease. We researched full-length English studies in PubMed, Science Direct, Google Scholar, and Scopus, through September, 2021. In total, 27 studies and a textbook description were included in the review. To adapt consumer-wearable activity trackers for evaluating health-related metrics in Parkinson’s disease (PD) patients, there may be some points to be elucidated and conquered. First, measurement accuracy and precision are required. Second, inter-device reliability for measuring steps, distance, and energy expenditure must be considered. Third, wearability: there are some types of device such as wrist-worn, ankle-worn, belt-fixed, and so on. Overall, Fitbit has advantage for these points. This mini review indicates that Fitbit has enough measurement accuracy and precision to estimate health-related metrics of PD patients including amount of step, physical activity energy expenditure, and quality of sleep.展开更多
Background: In psychosis physical activity, sleep, mental health, physical health, wellbeing, quality of life, cognition and functioning are interconnected. People who experience psychosis are more likely than the gen...Background: In psychosis physical activity, sleep, mental health, physical health, wellbeing, quality of life, cognition and functioning are interconnected. People who experience psychosis are more likely than the general population to have low levels of physical activity, high levels of sedentary behaviour and sleep problems. This project was innovative in seeking to address these issues through provision of a wearable activity and sleep tracker (a Fitbit) and sleep hygiene advice. Participants: Participants using an early intervention psychosis (EIP) service took part in an eight-week intervention, which incorporated the provision of a Fitbit, sleep hygiene advice as well as three engagement, feedback and discussion points with a clinician. Methods: A qualitative approach was used to conduct in-depth semi-structured interviews with 12 of the 25 intervention participants (5 male;7 female). Thematic and content analyses were employed to analyse the data. Results: Participants provided valuable insights into their experience of sleep, exercise, Fitbit use and sleep hygiene advice use. It was found that participants placed a high value on effective night time sleep, recognized improvements in physical activity and noted a positive effect on mood and wellbeing as a result of Fitbit use. The negative impact of having ineffective night time sleep and insufficient physical activity was described. Participants demonstrated a good level of understanding of the connection between sleep, exercise, wellbeing, and health. Conclusion: Participants reported the Fitbit and sleep hygiene advice received through an EIP service to be beneficial for improved levels of physical activity and exercise, and more effective sleep. This is a simple and low cost intervention which could be made widely available through EIP and other mental health services.展开更多
Exercise is an essential contributor to both physical and mental health and is a significant part of a person’s overall lifestyle.With the increasing popularity of exercise trackers,researchers were interested in the...Exercise is an essential contributor to both physical and mental health and is a significant part of a person’s overall lifestyle.With the increasing popularity of exercise trackers,researchers were interested in the effects of sham exercise trackers on perceptions of workouts and affect.Researchers predicted participants wearing a sham Fitbit band would report greater perceptions of workout intensity,challenge,and satisfaction compared to those without sham Fitbit bands.In addition,those wearing sham Fitbit bands were predicted to report greater positive affect and lower negative affect than those without bands.One hundred twenty student participants(60 in each group;one group with a sham Fitbit and one group with no Fitbit)were recruited from campus workout classes of Zumba,spinning,and body sculpting.Participants worked out and completed a PANAS survey,plus other workout perception questions.When using a sham Fitbit,participants believed the workout was more intense,physically challenging,and they were more satisfied with their workout.However,presence of a sham Fitbit band did not significantly affect mood.Results suggest that knowledge of wearing an exercise tracker,even without any workout data feedback,has an effect on workout perceptions,but has little effect on mood.展开更多
文摘Objectives: This study aimed to understand the experience and impact of a physical activity and sleep wrist-worn tracker (Fitbit)-based healthy lifestyle intervention for older patients attending a memory assessment service, who are experiencing cognitive impairment but do not receive a dementia diagnosis. Methods: A qualitative design was employed. Semi-structured interviews were conducted with a purposeful sample of thirteen participants recruited from a memory assessment service. Thematic analysis, that was data driven and inductive, was undertaken to analyse the data. Results: Two global themes were developed. “Understanding exercise and sleep as part of my lifestyle” was made up of themes representing how participants viewed exercise and sleep as part of their lifestyles in terms of acknowledging the positive impacts and the barriers to exercise and sleep. The second global theme “Understanding my experience of the healthy lifestyle intervention” was made up of themes that identified the positive impact of the intervention regarding improving health and wellbeing, enabling validation of proactive behaviours and motivation to engage in healthy lifestyle behaviours, so promoting positive behaviour change. Conclusion: Patients experiencing age-related cognitive impairment, applied and benefited from a healthy lifestyle Fitbit-based intervention to facilitate and promote physical activity, better sleep hygiene and healthy lifestyles.
文摘Research Background: Compared to the general population, people experiencing age-related cognitive decline are more likely to have low levels of physical activity and sleep problems. Sufficient physical activity and quality sleep are protective factors against cognitive decline and poor health and can improve coping with stressors. The “Active Feedback” intervention comprises a wearable activity and sleep tracker (Fitbit), access to Fitbit software healthy lifestyle software apps;one session with Memory Assessment Service (MAS) staff providing physical activity and sleep hygiene advice and two further engagement, discussion, and feedback sessions. Purpose/Aim: This study investigates the acceptability and feasibility of Active Feedback and the effect on stress, mental wellbeing, and sleep quality, and the links between these factors. Methods: An open-label patient cohort design with no control group was used. Pre-intervention, 4-week and 8-week intervention assessments were performed using participant self-report measures: Perceived Stress Scale (PSS), Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS), and Sleep Conditioning Index (SCI). Twenty-five participants completed an eight-week three-session intervention (18 males and 7 females), with the age range of 66 - 84 years old, and average age of 73.8 years (SD = 5.09). Fifteen participants had a diagnosis of MCI, ten participants did not. Results: There were non-significant improvements in SCI scores from 21.0 (SD = 8.84) to 21.6 (SD = 6.20) at 8 weeks, PSS scores from 17.5 (SD = 5.89) to 17.0 (SD = 6.20) at 8 weeks, and WEMWBS scores from 46.9 (SD = 9.23) to 48.8 (SD = 9.69) at 8 weeks. There were negative correlations between WEMWBS and PSS. Conclusion: Active Feedback intervention was found to be feasible and acceptable. Active Feedback could be enhanced to include motivational interviewing and goal setting.
文摘Background: Compared to the general population, people who are at a high risk of or experience severe mental illness (SMI) such as psychosis, are more likely to have low levels of physical activity, high levels of sedentary behaviour, and sleep problems. Intervention: The Well-Track intervention comprises a wearable activity and sleep tracker (Fitbit);one session with mental health service staff providing physical activity and sleep hygiene advice;a brief motivational interview;completing a goal setting workbook;and one or two further engagement, feedback and discussion sessions. Participants: Twenty-four participants using an early intervention in psychosis (EIP) or at-risk mental state (ARMS) service completed an eight-week, three session intervention (14 males and 10 females), with an age range of 18 - 61, and average age of 27.75 years. Methods: An open-label patient cohort design with no control group. Pre-intervention, 4-week and 8-week intervention assessments using participant self-report measures: Patient Health Questionnaire (PHQ-9) (depression), Warwick–Edinburgh Mental Wellbeing Scale (WEMWBS), and Sleep Conditioning Index (SCI);and clinician measurement of body weight. Results: Mean scores showed a significant improvement in PHQ-9 from 9.29 (SD 5.89) to 5.58 (SD 3.68) at 4 weeks and to 5.83 (SD 4.40) at 8 weeks, with large effect sizes. For those who met a diagnosis of depression at baseline, at 4 week follow-up seven participants (26%) experienced remission and nine (33%) reliable improvement, and at 8 week follow-up four (21%) experienced remission and seven (37%) reliable improvement. WEMWBS scores significantly improved, from 44.04 (SD 9.44) to 48.54 (SD 8.71) at 4 weeks and to 48.67 (SD 8.76) at 8 weeks, with large effect sizes. Body weight did not change significantly, remaining unchanged at 4 weeks and reduced from a mean of 82.8 kg (baseline) to 80.15 kg at 8 weeks, a reduction of 2.65 kg. Conclusion: Well-Track was integrated into an EIP and ARMS service and was found to be beneficial in t
文摘Background: Physical activity and sleep are interconnected with mental health, physical health, wellbeing, quality of life, cognition, and functioning. Compared to the general population, people who experience psychosis are more likely to have low levels of physical activity, high levels of sedentary behaviour, and sleep problems. Intervention: The Well-Track intervention addresses these issues through: provision of a wearable activity and sleep tracker (Fitbit);physical activity and sleep hygiene advice;a brief motivational interview;a goal-setting workbook;and three engagement, feedback and discussion sessions with early intervention in psychosis (EIP) staff. Participants: Thirty participants using an EIP service took part in an eight-week intervention. Thirteen participants (6 males;7 females) with an age range of 18 to 61 years old (M = 28 years) took part in an interview. Methods: A qualitative approach was used to conduct in-depth semi-structured interviews. Thematic and content analyses were employed to analyse the data. Results: Participants set goals, made lifestyle changes to their daily routine and integrated a Fitbit and its functions into their lives that resulted in more physical activity and enabled more effective sleep. This resulted in improved self-management, positive feelings and thoughts, motivation, confidence, social engagement, mood, health, and wellbeing. Participants made progress towards goals they had set. Conclusion: Well-Track has been successfully integrated into an EIP service and it could be delivered through all EIP and other healthcare services where there is a need to promote healthy lifestyle behaviours.
基金funded by College of Education and Human Development Acceleration Research Award at the University of Minnesota Twin Cities,USA
文摘Purpose This study aimed to examine the effects of a multi-component mobile health intervention(wearable,apps,and social media)on cancer survivors’(CS')physical activity(PA),quality of life,and PA determinants compared to exercise prescription only,social media only,and attention control conditions.Methods A total of 126 CS(age=60.37±7.41 years,mean±SD)were recruited from the United States.The study duration was 6 months and participants were randomly placed into 4 groups.All participants received a Fitbit tracker and were instructed to install its companion app to monitor their daily PA.They(1)received previously established weekly personalized exercise prescriptions via email,(2)received weekly Facebook health education and interacted with one another,(3)received both Conditions 1 and 2,or(4)were part of the control condition,meaning they adopted usual care.CS PA daily steps,quality of life(i.e.,physical health and mental health),and PA determinants(e.g.,self-efficacy,social support)were measured at baseline,3 months,and 6 months.Results The final sample size included 123 CS.The results revealed only the multi-component condition had greater improvements in PA daily steps than the control condition post-intervention(95%confidence interval(95%CI):368–2951;p<0.05).Similarly,those in the multi-component condition had significantly greater increased physical health than the control condition(95%CI:–0.41 to–0.01;p<0.05)over time.In addition,the social media condition had significantly greater increased perceived social support than the control condition(95%CI:0.01–0.93;p<0.05).No other significant differences on outcomes were identified.Conclusion The study findings suggest that the implementation of a multi-component mobile health intervention had positive effects on CS PA steps and physical health.Also,offering social media intervention has the potential to improve CS perceived social support.
文摘Purpose: Compared to levels in the general population, people with experiences of psychosis have poorer physical fitness, more sedentary behaviour, lower physical activity, more sleep problems, and a higher incidence of insomnia. The aim of the current study was to examine the feasibility and impact of an intervention with the goal of addressing these issues. Method: Design: intervention with outcome measure data collection, with no control group. Forty-nine early intervention psychosis (EIP) service patients took part in an intervention: provision of a Fitbit, Fitbit software apps, sleep hygiene, and physical activity guidance, and three discussion sessions with clinicians. The sample consisted of 29 males and 20 females, with age range of 17 - 54 years, and average age of 29.5 years. Measures used were Fitbit activity and sleep data, and self-rated Warwick–Edinburgh Mental Wellbeing Scale (WEMWBS) and Positive and Negative Affect Schedule (PANAS). Results: WEMWBS scores significantly improved, with a medium effect size. PANAS negative affect (NA) dropped significantly. Analysis of Fitbit activity and sleep data yielded non-significant results. Conclusion: The intervention was acceptable to EIP patients and is feasible. Improvements in mental wellbeing and negative affect indicate the positive impact of the intervention on mental health. EIP services should consider assessing sleep quality and physical activity/exercise levels, and using this study’s intervention to promote wellbeing and mental health within recovery focused practice. Further research could be undertaken through a sufficiently powered randomised control trial (RCT) comparing this intervention and treatment as usual (TAU).
文摘Consumer-wearable activity trackers have been used for monitoring health-related metrics to estimate steps, distance, physical activity, energy expenditure, and sleep. The purpose of this mini review was to summarize the evidence for validity of the most popular wrist-worn activity tracker (Fitbit) to estimate those health-related metrics in Parkinson disease. We researched full-length English studies in PubMed, Science Direct, Google Scholar, and Scopus, through September, 2021. In total, 27 studies and a textbook description were included in the review. To adapt consumer-wearable activity trackers for evaluating health-related metrics in Parkinson’s disease (PD) patients, there may be some points to be elucidated and conquered. First, measurement accuracy and precision are required. Second, inter-device reliability for measuring steps, distance, and energy expenditure must be considered. Third, wearability: there are some types of device such as wrist-worn, ankle-worn, belt-fixed, and so on. Overall, Fitbit has advantage for these points. This mini review indicates that Fitbit has enough measurement accuracy and precision to estimate health-related metrics of PD patients including amount of step, physical activity energy expenditure, and quality of sleep.
文摘Background: In psychosis physical activity, sleep, mental health, physical health, wellbeing, quality of life, cognition and functioning are interconnected. People who experience psychosis are more likely than the general population to have low levels of physical activity, high levels of sedentary behaviour and sleep problems. This project was innovative in seeking to address these issues through provision of a wearable activity and sleep tracker (a Fitbit) and sleep hygiene advice. Participants: Participants using an early intervention psychosis (EIP) service took part in an eight-week intervention, which incorporated the provision of a Fitbit, sleep hygiene advice as well as three engagement, feedback and discussion points with a clinician. Methods: A qualitative approach was used to conduct in-depth semi-structured interviews with 12 of the 25 intervention participants (5 male;7 female). Thematic and content analyses were employed to analyse the data. Results: Participants provided valuable insights into their experience of sleep, exercise, Fitbit use and sleep hygiene advice use. It was found that participants placed a high value on effective night time sleep, recognized improvements in physical activity and noted a positive effect on mood and wellbeing as a result of Fitbit use. The negative impact of having ineffective night time sleep and insufficient physical activity was described. Participants demonstrated a good level of understanding of the connection between sleep, exercise, wellbeing, and health. Conclusion: Participants reported the Fitbit and sleep hygiene advice received through an EIP service to be beneficial for improved levels of physical activity and exercise, and more effective sleep. This is a simple and low cost intervention which could be made widely available through EIP and other mental health services.
文摘Exercise is an essential contributor to both physical and mental health and is a significant part of a person’s overall lifestyle.With the increasing popularity of exercise trackers,researchers were interested in the effects of sham exercise trackers on perceptions of workouts and affect.Researchers predicted participants wearing a sham Fitbit band would report greater perceptions of workout intensity,challenge,and satisfaction compared to those without sham Fitbit bands.In addition,those wearing sham Fitbit bands were predicted to report greater positive affect and lower negative affect than those without bands.One hundred twenty student participants(60 in each group;one group with a sham Fitbit and one group with no Fitbit)were recruited from campus workout classes of Zumba,spinning,and body sculpting.Participants worked out and completed a PANAS survey,plus other workout perception questions.When using a sham Fitbit,participants believed the workout was more intense,physically challenging,and they were more satisfied with their workout.However,presence of a sham Fitbit band did not significantly affect mood.Results suggest that knowledge of wearing an exercise tracker,even without any workout data feedback,has an effect on workout perceptions,but has little effect on mood.
