跳至主要内容
临床试验/NCT04882267
NCT04882267Unknown不适用

General Health, Attitudes, and Activity in Self-directed Exercise in Patients With Cystic Fibrosis (GAINS-CF)

University of Virginia0 个研究点目标入组 12 人开始时间: 2021年5月31日最近更新:
适应症
干预措施

试验速览

阶段
不适用
入组人数
12
主要终点
Activity levels

研究概览

简要总结

Exercise helps people with CF lead long, fulfilling lives. Regular exercise reduces depression and fatigue, and may play a role in preventing exacerbation. However, little is known about exercise habits in adults with CF, or the barriers to exercise that they face.

During the COVID-19 pandemic, lockdowns and social distancing saw gym memberships plummet; while sale of personal exercise technology, smart-watches, and interactive home equipment exploded. As this technology becomes more cost-effective and accessible, can it be leveraged to improve CF care? This study will examine barriers to exercise in CF and the role of smart devices in exercise. Adults with CF will participate in the Exercise Behaviors/Barriers Survey, followed by a qualitative discussion on attitudes toward exercise technology, and how CF impacts exercise. We anticipate that many perceived barriers will be universal (e.g. time), while others will be unique to CF.

Participants will be fitted with wrist actigraphy (FitBit Inspire 2) to measure baseline exercise. They will receive access to three smartphone apps designed for home exercise, as well as an exercise website designed for the CF community (www.activate65.org), and receive weekly phone calls from the CF care team offering motivational interviewing. Actigraphy, heart and respiratory rate, and app usage will be analyzed. After four weeks, participants will no longer receive calls. Actigraphy will be monitored four additional weeks to determine if exercise is sustained. We anticipate that exercise will increase during the intervention period, and that some activity will be sustained in the follow up period.

The findings of this study will pave the way for a larger trial using this "Team and Technology" approach to investigate clinical outcomes. This study highlights the critical and timely need to investigate the barriers to exercise in CF, and effective solutions to develop sustainable exercise habits using widely-available technology from home.

详细描述

Adults with CF aged 18 and above, who have access to either Google Play (Google LLC) or Apple (Apple Inc.) smart device, and are patients of the University of Virginia Adult CF clinic will be enrolled in this study. Subjects will be invited by the PI during routine pre-visit planning for quarterly appointments. Subjects who are unable to provide consent, pregnant or trying to become pregnant, or have a known physical condition that precludes exercise will be excluded. Enrolled subjects will serve as their own controls, and there will be an additional four healthy non-CF controls. We will recruit subjects from each lung function subgroup FEV1 < 40%, FEV1 40-79%, and FEV1 >80%.

Enrolled subjects will be screened using the Physical Activity Readiness Questionnaire (PAR-Q) prior to exercise. Respondents who are not eligible for exercise based on PAR-Q results will be excluded. Subjects will participate in the Exercise Benefits/Barriers Scale (EB/BS) to identify perceived benefits and barriers to exercise via online secured Qualtrics Research Suite link. They will participate in a one-on-one conversation with the PI answering open-ended questions about how their life experience with CF may impact exercise behavior, as well as their attitudes toward use of personal technology in exercise. Input will be qualitatively analyzed for themes that may aid in developing more personalized plans for exercise engagement.

Subjects will complete the Short General Health Questionnaire (GHQ 12) to establish self-reported baseline levels of general physical and mental health. They will be fitted with a wrist actigrapher (FitBit Inspire 2; Google, LLC). They will receive training on FitBit usage and how to safely export data via HIPAA-secured electronic communication. For four weeks, physical activity will be logged, including steps per day, time spent in aerobic activity, respiratory rate, and heart rate. This will establish baseline levels of activity.

Subjects will then begin the "Team & Technology" exercise intervention. Team: Participants will receive weekly phone calls from members of the CF care team encouraging exercise and offering motivational interviewing personalized from earlier interviews. Technology: Participants will take part in a live demonstration of three subscription-based exercise apps compatible with Apple and Google Play personal devices, and will receive unlimited access to all apps. They will also receive access to a mobile-friendly exercise community website designed by UVA patient partner for adults with CF (www.activate65.org, Elize Hewitt, 2021). The apps were selected based of their ability to provide a variety of workouts from home using only body weight, without specialized equipment. Apps included in this study are BodBot (BodBot, LLC), an AI-learning exercise app that customizes exercise plans to the user and incorporates body weight and aerobic exercise; SHRED (Shred Labs, LLC), an AI-learning exercise app that incorporates both muscle-building and aerobic exercise; Seven (Perigee AB), and J&J Official 7 Minute Workouts (Johnson & Johnson Health and Wellness Solutions, Inc) two apps that generate high-intensity interval training (HIIT) workouts in 7-minute intervals based on self-selected skill level. Subjects will be encouraged to exercise using any method they wish, including using any combination of the technology options, or their own methods. Multiple apps with different methods and styles have been selected so that any one specific app does not become the intervention per se, but rather provides exercise options. Physical activity will be logged, along with app and website usage. After four weeks, EB/BS and GHQ 12 surveys will be repeated.

After the intervention period, motivational phone calls will end. Subjects will still have unlimited access to the technology, and will continue to wear actigraphers. Technology usage and physical activity will be logged at the end of an additional four weeks to assess for sustainability of exercise habits. Finally, EB/BS and GHQ 12 surveys will be repeated during a debrief phase.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Sequential
主要目的
Supportive Care
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者
是

入选标准

  • •Age 18 and above
  • •Must have access to either Google Play (Google LLC) or Apple (Apple Inc.) smart device
  • •Patients of the University of Virginia Adult CF clinic

排除标准

  • •Unable to exercise based on PAR-Q survey
  • •Known physical condition that precludes exercise
  • •Pregnant, or trying to become pregnant
  • •Unable to provide informed consent
  • •Prisoners
  • •Does not own and feel comfortable using a smart device
  • •Unwilling to use smart devices for research purposes

研究组 & 干预措施

Determination of attitudes and perceived barriers to exercise

No Intervention

Adults with CF will take part in a quantitative modified Exercise Benefits/Barriers Scale (EB/BS) survey to identify universal and unique benefits and barriers to regular exercise activity. Subjects will be surveyed on potential ways to engage in exercise, including perceptions and prior use of smart device exercise technology. Qualitative input will be incorporated to better understand potential solutions to barriers, and develop more personalized plans for exercise engagement.

Determination of baseline exercise activity (Baseline Period)

No Intervention

Adults with CF who identify as 'willing to use technology' and own compatible smart phones/tablets will undergo the Short General Health Questionnaires (GHQ 12) to establish baseline levels of general and mental health. Subjects will be fitted with wrist actigraphy and monitored for four weeks to establish baseline levels of exercise activity at home. Anticipated outcomes: Access to actigraphy will encourage personal accountability, and physical activity will increase during the first two weeks before reaching a plateau.

Engagement in home self-directed exercise incorporating Team and Technology (Intervention Period)

Experimental

Subjects will take part in a live demonstration of three subscription-based AI-learning home exercise apps, and one self-directed exercise website designed by a CF patient partner. Subjects will be surveyed on willingness to use technology, and provide feedback on exercise options. They will be given free full access to the apps and website ("Technology"), and receive a phone call once a week from their CF specialty team offering encouragement and positive reinforcement ("Team"). App and website usage, actigraphy, EB/BS and GHQ 12 scores will be measured at the end of four weeks. Anticipated outcomes: Activity will increase significantly during the Team and Technology intervention period, barriers on the EB/BS score will decrease, and GHQ 12 scores will increase.

干预措施: Team and Technology (Behavioral)

Determination of sustainability (Sustainability Period)

Active Comparator

Phone calls will cease, but subjects will maintain access to apps, websites, and actigraphy. After four weeks, EB/BS and GHQ 12 scores, physical activity, app and website use will be reassessed. Anticipated outcomes: Activity will decrease during the sustainability period, but will remain significantly greater than the pre-intervention period. Overall GHQ 12 and EB/BS scores will improve.

干预措施: Team and Technology (Behavioral)

结局指标

主要结局

Activity levels

时间窗: ten weeks

Activity measured in steps per day

Perceived barriers and benefits of exercise

时间窗: ten weeks

Perceived barriers and benefits of exercise as measured by serial EB/BS surveys

General and Mental Health

时间窗: ten weeks

General and mental health scores as measured by the GHQ 12

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Lindsay Somerville, MD

Associate Director of Adult CF Medicine

University of Virginia

相似试验

General Health, Attitudes, and Activity in... | 临床试验