Fitbit-Tracked Micromovement for Cardiometabolic Health in Rural Women (RISE-W)
Rural Initiative for Inflammatory Screening & Engagement for Women
This pilot study tests whether a low-burden prevention program can be integrated into routine care to identify and reduce cardiometabolic risk in rural women. Rural women face high rates of cardiometabolic syndrome, a cluster of conditions (elevated blood pressure, abdominal obesity, abnormal cholesterol, and high blood sugar) that raises the risk of heart disease and diabetes, yet often face barriers to prevention and screening.
The study enrolls physically inactive adult women with multiple cardiometabolic risk factors who receive care at a rural federally qualified health center. At a baseline visit, participants complete surveys and clinical assessments including inflammatory biomarkers (C-reactive protein and interleukin-6), metabolic labs, blood pressure, waist circumference, menopausal status, and social determinants of health. Participants then take part in a 12-week program of brief, frequent daily movement supported by a wearable activity tracker. Assessments are repeated at 12 weeks.
Because this is a single-group pilot, every participant receives the program and serves as her own comparison. The study evaluates whether the model is feasible to run within routine clinic workflows and examines preliminary changes in cardiometabolic and inflammatory risk indicators. Findings will inform larger studies of scalable prevention strategies for rural women.
調査の概要
詳細な説明
Thought process Thought process Here are both, written to PRS conventions and ready to paste. Brief Summary is lay-facing and concise; Detailed Description carries the technical detail.
Brief Summary This pilot study tests whether a low-burden prevention program can be integrated into routine care to identify and reduce cardiometabolic risk in rural women. Rural women face high rates of cardiometabolic syndrome, a cluster of conditions (elevated blood pressure, abdominal obesity, abnormal cholesterol, and high blood sugar) that raises the risk of heart disease and diabetes, yet often face barriers to prevention and screening.
The study enrolls physically inactive adult women with multiple cardiometabolic risk factors who receive care at a rural federally qualified health center. At a baseline visit, participants complete surveys and clinical assessments including inflammatory biomarkers (C-reactive protein and interleukin-6), metabolic labs, blood pressure, waist circumference, menopausal status, and social determinants of health. Participants then take part in a 12-week program of brief, frequent daily movement supported by a wearable activity tracker. Assessments are repeated at 12 weeks.
Because this is a single-group pilot, every participant receives the program and serves as her own comparison. The study evaluates whether the model is feasible to run within routine clinic workflows and examines preliminary changes in cardiometabolic and inflammatory risk indicators. Findings will inform larger studies of scalable prevention strategies for rural women.
Detailed Description Background. Cardiometabolic syndrome (CMS) substantially increases the risk of cardiovascular disease, type 2 diabetes, and early mortality. Rural women experience disproportionately high rates of CMS due to structural and social barriers, and risk is often identified only after disease has progressed. Systemic inflammation contributes to CMS development, and biomarkers such as C-reactive protein (CRP) and interleukin-6 (IL-6) can rise before metabolic abnormalities appear, offering an opportunity for earlier risk identification. Physical inactivity and prolonged sedentary time contribute to metabolic dysregulation; brief, frequent bouts of movement supported by wearable trackers may help interrupt sedentary behavior.
Purpose. This pilot evaluates the feasibility of the Rural Initiative for Inflammatory Screening and Engagement for Women (RISE-W), a pragmatic prevention model designed to support early identification and reduction of cardiometabolic risk among physically inactive rural women receiving care at a federally qualified health center.
Design. Prospective, single-group, pre-post pilot interventional design. All enrolled participants receive the RISE-W intervention and serve as their own control, with outcomes assessed at baseline and at the conclusion of the 12-week intervention.
Objectives.
Evaluate the feasibility of integrating inflammatory biomarkers, metabolic screening, and cardiometabolic risk assessment into routine care.
Implement and assess the acceptability of and adherence to a low-burden prevention strategy incorporating micro-movement physical activity.
Examine preliminary changes in cardiometabolic risk indicators (inflammatory biomarkers, metabolic markers, blood pressure, and waist circumference) over 12 weeks.
Assess the feasibility of embedding the model within existing clinic workflows without increasing clinician workload.
Intervention. A 12-week pragmatic prevention strategy consisting of micro-movement physical activity: brief bouts of light-to-moderate movement each hour during waking hours (target of at least 10 hours per day), supported by a wearable activity tracker (Fitbit Inspire 3) providing automated hourly movement reminders and self-monitoring.
Assessments. At baseline, participants complete demographic and health questionnaires, a social determinants of health questionnaire, and menopausal staging, along with anthropometric measurements (waist circumference, height, weight), blood pressure, and fasting blood samples for metabolic indicators (fasting glucose, triglycerides, HDL) and inflammatory biomarkers (CRP, IL-6). Post-intervention assessments at 12 weeks (study day 84 ± 14 days) repeat anthropometric measures, blood pressure, and biomarker collection, and include a self-report follow-up survey and download of the full activity-tracker dataset.
Outcomes. Primary outcomes are change from baseline to 12 weeks in cardiometabolic risk indicators (waist circumference, systolic and diastolic blood pressure, fasting glucose, triglycerides, HDL) and inflammatory biomarkers (CRP, IL-6), together with feasibility and adherence metrics (assessment completion and adherence to micro-movement activity). Secondary outcomes include anthropometric change (weight, BMI), self-reported physical activity, and exploratory associations of menopausal status and social determinants of health with adherence and outcomes.
Sample size. A target of 125 participants was selected to evaluate feasibility metrics and provide preliminary estimates of effect size and variability to inform future larger trials; the study is not powered for formal hypothesis testing.
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究場所
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Texas
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Lubbock、Texas、アメリカ、79430
- Texas Tech University Health Sciences Center Clinical Research Institute
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コンタクト:
- CRI Research Assistant
- 電話番号:806-743-4222
- メール:clinicalresearch@ttuhsc.edu
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参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
Female, aged 18 to 80 years Physically inactive, defined as less than 150 minutes of moderate-intensity physical activity per week (by self-report) Metabolic syndrome, defined as three or more cardiometabolic risk factors consistent with NCEP ATP III criteria, based on documented diagnosis or clinical history: waist circumference >88 cm; blood pressure ≥130/85 mmHg; fasting blood glucose ≥100 mg/dL; triglycerides ≥150 mg/dL; HDL cholesterol <50 mg/dL Access to a personal or household smartphone (Apple iOS 16.4 or higher, or Android OS 11.0 or higher) capable of installing the Fitbit application; no cellular data plan required Working email address Able to understand and provide written informed consent in English or Spanish Receiving care at one of the three Larry Combest Community Health & Wellness Center sites
Exclusion Criteria:
Current pregnancy or planning to become pregnant during the study period Medical conditions that preclude safe participation in light-to-moderate physical activity (e.g., unstable cardiovascular disease, uncontrolled hypertension, severe musculoskeletal limitations), as determined by the PI through EHR review Participation in another structured lifestyle or cardiometabolic intervention study within the past 6 months (self-report) Use of medications or treatments that significantly alter inflammation or metabolism (e.g., systemic corticosteroids, recent chemotherapy), as determined by the PI through EHR review Inability to comply with study procedures, including wearing the activity tracker or completing follow-up assessments No access to a smartphone, or a smartphone unable to run the Fitbit application due to operating system incompatibility
研究計画
研究はどのように設計されていますか?
デザインの詳細
- 主な目的:防止
- 割り当て:なし
- 介入モデル:単一グループの割り当て
- マスキング:なし(オープンラベル)
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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実験的:RISE-W Intervention
Participants receive the 12-week RISE-W micro-movement prevention program: brief bouts of light-to-moderate movement each waking hour (target ≥10 hours/day), supported by a wearable activity tracker that provides hourly movement reminders and enables self-monitoring.
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Brief, frequent bouts of light-to-moderate movement performed each waking hour (target ≥10 hours/day) over 12 weeks, supported by a Fitbit Inspire 3 activity tracker that delivers automated hourly movement reminders and enables self-monitoring.
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この研究は何を測定していますか?
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Study completion rate (feasibility)
時間枠:Baseline through 12 weeks
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Proportion of enrolled participants who complete both baseline and 12-week follow-up assessments.
Reported as a percentage; higher indicates greater feasibility.
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Baseline through 12 weeks
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Adherence to micro-movement intervention (feasibility)
時間枠:Over the 12-week intervention period
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Adherence measured by the wearable activity tracker as the percentage of hourly movement goals met across the intervention period.
Reported as a percentage; higher indicates greater adherence.
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Over the 12-week intervention period
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Change in waist circumference
時間枠:Baseline and 12 weeks
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Change in waist circumference measured in centimeters using a non-stretch tape per standardized protocol.
A decrease indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in blood pressure
時間枠:Baseline and 12 weeks
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Change in systolic and diastolic blood pressure (mmHg), measured after 5-minute seated rest as the average of two readings.
A decrease indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in fasting blood glucose
時間枠:Baseline and 12 weeks
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Change in fasting blood glucose (mg/dL) from a fasting venous sample.
A decrease indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in triglycerides
時間枠:Baseline and 12 weeks
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Change in triglycerides (mg/dL) from a fasting venous sample.
A decrease indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in HDL cholesterol
時間枠:Baseline and 12 weeks
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Change in high-density lipoprotein cholesterol (mg/dL) from a fasting venous sample.
An increase indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in C-reactive protein (CRP)
時間枠:Baseline and 12 weeks
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Change in serum C-reactive protein (mg/L).
A decrease indicates reduced systemic inflammation.
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Baseline and 12 weeks
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Change in interleukin-6 (IL-6)
時間枠:Baseline and 12 weeks
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Change in serum interleukin-6 (pg/mL).
A decrease indicates reduced systemic inflammation.
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Baseline and 12 weeks
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Change in body weight and BMI
時間枠:Baseline and 12 weeks
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Change in body weight (kg) and body mass index (kg/m²) from calibrated clinic measurements.
A decrease indicates reduced cardiometabolic risk.
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Baseline and 12 weeks
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Change in self-reported physical activity
時間枠:Baseline and 12 weeks
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Change in self-reported physical activity (frequency and duration) via structured survey.
An increase indicates improved activity.
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Baseline and 12 weeks
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協力者と研究者
捜査官
- 主任研究者:Jeni Page, PhD, APRN, ACNP-BC、Texas Tech University Health Sciences Center
出版物と役立つリンク
一般刊行物
- Bell ML, Whitehead AL, Julious SA. Guidance for using pilot studies to inform the design of intervention trials with continuous outcomes. Clin Epidemiol. 2018 Jan 18;10:153-157. doi: 10.2147/CLEP.S146397. eCollection 2018.
- National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III) final report. Circulation. 2002 Dec 17;106(25):3143-421. No abstract available.
- Ferguson T, Olds T, Curtis R, Blake H, Crozier AJ, Dankiw K, Dumuid D, Kasai D, O'Connor E, Virgara R, Maher C. Effectiveness of wearable activity trackers to increase physical activity and improve health: a systematic review of systematic reviews and meta-analyses. Lancet Digit Health. 2022 Aug;4(8):e615-e626. doi: 10.1016/S2589-7500(22)00111-X.
- Fahed G, Aoun L, Bou Zerdan M, Allam S, Bou Zerdan M, Bouferraa Y, Assi HI. Metabolic Syndrome: Updates on Pathophysiology and Management in 2021. Int J Mol Sci. 2022 Jan 12;23(2):786. doi: 10.3390/ijms23020786.
- Scott J, Dardas L, Sloane R, Wigington T, Noonan D, Simmons LA. Understanding Social Determinants of Cardiometabolic Disease Risk in Rural Women. J Community Health. 2020 Feb;45(1):1-9. doi: 10.1007/s10900-019-00710-0.
- Wan KW, Dai ZH, Wong PS, Huang WY, Lei EF, Little JP, Lin FC, Tam BT. Effects of Exercise Snacks on Cardiometabolic Health and Body Composition in Adults: A Systematic Review and Meta-Analysis. Scand J Med Sci Sports. 2025 Aug;35(8):e70114. doi: 10.1111/sms.70114.
- Ridker PM, MacFadyen JG, Glynn RJ, Bradwin G, Hasan AA, Rifai N. Comparison of interleukin-6, C-reactive protein, and low-density lipoprotein cholesterol as biomarkers of residual risk in contemporary practice: secondary analyses from the Cardiovascular Inflammation Reduction Trial. Eur Heart J. 2020 Aug 14;41(31):2952-2961. doi: 10.1093/eurheartj/ehaa160.
- Chan A, Chan D, Lee H, Ng CC, Yeo AHL. Reporting adherence, validity and physical activity measures of wearable activity trackers in medical research: A systematic review. Int J Med Inform. 2022 Apr;160:104696. doi: 10.1016/j.ijmedinf.2022.104696. Epub 2022 Jan 31.
- Batsis JA, McClure AC, Weintraub AB, Kotz DF, Rotenberg S, Cook SB, Gilbert-Diamond D, Curtis K, Stevens CJ, Sette D, Rothstein RI. Feasibility and acceptability of a rural, pragmatic, telemedicine-delivered healthy lifestyle programme. Obes Sci Pract. 2019 Oct 17;5(6):521-530. doi: 10.1002/osp4.366. eCollection 2019 Dec.
- Alexe DI, Saha S, Choudhary PK, Alexe CI, Choudhary S, Tohanean DI. Exercise Snacks as a Strategy to Interrupt Sedentary Behavior: A Systematic Review of Health Outcomes and Feasibility. Healthcare (Basel). 2025 Dec 9;13(24):3216. doi: 10.3390/healthcare13243216.
研究記録日
主要日程の研究
研究開始 (推定)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- IRB-FY2026-236 (その他の識別子:Texas Tech University Health Sciences Center Institute of Telehealth and Digital Innovation)
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
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