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Roybal Via Habit Formation (Via Habit)

2026년 9월 23일 업데이트: Shiyu Li, PhD, Louisiana State University and A&M College

Automata Modeling Approach to Identify and Pilot-Test Receptive Windows for Physical Activity Habit Formation in Midlife Adults

This pilot study will develop and evaluate ViaHabit, a personalized walking intervention designed to promote physical activity habit formation among sedentary midlife adults (ages 45-65). During an initial 2-week observation period, participants' daily routines will be characterized using data collected from wearable devices, smartphones, and digital calendars. Personalized models will identify routine transitions, defined as periods between everyday activities, that may serve as receptive opportunities for initiating physical activity. Participants will then complete a 4-week intervention in which they create individualized "if-then" action plans linking routine transitions to a 15-minute brisk walk and receive automated smartwatch prompts at selected cue times. The study will assess the feasibility and acceptability of identifying routine transitions and delivering timely physical activity prompts, while exploring changes in walking behavior, habit strength, and physical activity engagement.

연구 개요

상태

아직 모집하지 않음

개입 / 치료

상세 설명

This pilot study will develop and evaluate ViaHabit, a personalized, cue-based walking intervention designed to promote physical activity habit formation among sedentary midlife adults. The study is based on the premise that routine transitions, defined as periods when one daily activity has ended and another has not yet begun, may represent receptive opportunities for initiating new health behaviors. The long-term goal is to increase physical activity during midlife, a critical period for reducing risk factors associated with cognitive decline and dementia.

The study will enroll approximately 10 adults aged 45 to 65 years who are physically inactive and experience competing work, caregiving, parenting, or other role demands. Participants must own or be willing to use an iPhone-compatible device and be able to walk without assistance.

The study uses a 12-week, single-arm, within-subject design consisting of two phases. During Phase 1 (2-week observation period), participants will use an Apple Watch, smartphone applications, and digital calendar tools to collect multimodal data on daily behavior, including physical activity, location patterns, calendar events, and contextual information. These data will be used to develop individualized computational models of participants' daily routines and identify recurring routine transitions that may serve as effective cues for physical activity initiation.

Following model development, participants will enter Phase 2 (4-week intervention period). In a virtual coaching session, participants will identify up to two routine transitions that can function as cues for walking and will create personalized "if-then" action plans linking those cues to a 15-minute brisk walk. Automated smartwatch notifications will be delivered when the selected routine transitions occur to increase cue salience and support initiation of physical activity. Walking behavior will be continuously monitored through wearable devices.

The primary objectives are to evaluate the feasibility of identifying individualized routine transitions from passive sensing data and the feasibility and acceptability of delivering a personalized, cue-based walking intervention anchored to those transitions. Secondary and exploratory outcomes include adherence to study procedures, walking behavior, cue-triggered behavioral enactment, habit strength, physical activity levels, and cognitive function. Habit strength will be assessed using measures of behavioral automaticity, while cognitive function will be evaluated through mobile cognitive assessments administered during the intervention period.

The findings will inform the development of scalable, data-driven interventions that leverage naturally occurring daily routines to support physical activity habit formation and healthy aging.

연구 유형

중재적

등록 (추정된)

10

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

  • 이름: Shiyu Li, PhD
  • 전화번호: 225-578-0977
  • 이메일: sli40@lsu.edu

연구 연락처 백업

  • 이름: Kimberly Allen, MA
  • 전화번호: 225-578-2363

연구 장소

    • Louisiana
      • Baton Rouge, Louisiana, 미국, 70803
        • Louisiana State University School of Kinesiology

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

45년 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

Inclusion Criteria:

  • Age 45 to 65 years.
  • Reports no leisure-time physical activity during the past month and engages in <400 MET-minutes/week of physical activity as assessed by the IPAQ-Short Form.
  • Has competing role demands, defined as ≥10 hours/week of paid work, caregiving, parenting, or volunteer activities.
  • Owns an iPhone (iOS smartphone) with reliable internet access and is willing to use study-related mobile applications and wearable devices.
  • Able to walk without assistance.
  • Uses, or is willing to use, a digital calendar application and share de-identified event timing data with the study team.
  • Able to understand study procedures and provide informed consent.

Exclusion Criteria:

  • Plans to relocate or engage in extended travel during the next 3 months.
  • Pregnant or planning to become pregnant during the study period.
  • Currently participating in another physical activity or behavioral intervention study.
  • Has a medical condition that may limit safe participation in walking, impair the ability to provide informed consent, or interfere with study adherence.

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 방지
  • 할당: 해당 없음
  • 중재 모델: 단일 그룹 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
실험적: ViaHabit Intervention

Participants complete a 2-week observation period during which individualized routine models are developed using wearable, smartphone, and calendar data, followed by a 4-week ViaHabit intervention consisting of routine-transition cue selection, if-then action planning, and automated smartwatch prompts to support initiation of 15-minute brisk walks.

ViaHabit is a personalized, cue-based walking intervention designed to promote physical activity habit formation in sedentary midlife adults. Following a 2-week observation period, individualized routine models are developed using data collected from wearable devices, smartphones, and digital calendars. Participants then complete a coaching session to identify up to two routine transitions that can serve as cues for physical activity and develop personalized if-then action plans linking each cue to a 15-minute brisk walk. During the 4-week intervention period, automated smartwatch notifications are delivered at the selected routine-transition cues to increase cue salience and support initiation of walking behavior. The intervention aims to strengthen cue-behavior associations through repeated pairing of routine completion cues with walking, thereby increasing behavioral automaticity and physical activity participation.

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Feasibliity of the ViaHabit Intervention - Recruitment
기간: Week 8 (end of intervention)

Feasibility will be assessed by participant recruitment rates.

Week 8 (end of intervention)
Feasibliity of the ViaHabit Intervention - Retention
기간: Week 8 (end of intervention)

Feasibility will be assessed by participant retention rates.

Week 8 (end of intervention)
Feasibliity of the ViaHabit Intervention - Data Collection
기간: Week 8 (end of intervention)

Feasibility will be assessed by participant completion of Phase 1 data collection.

Week 8 (end of intervention)

2차 결과 측정

결과 측정
측정값 설명
기간
Habit Strength for Walking
기간: Baseline and weekly during the 4 week intervention period through Week 8

Habit strength will be assessed using the 4-item Self-Reported Behavioral Automaticity Index (SRBAI), adapted to each participant's selected routine-transition cue. Higher scores indicate greater automaticity of walking behavior in response to the cue.

Baseline and weekly during the 4 week intervention period through Week 8

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (추정된)

2026년 10월 1일

기본 완료 (추정된)

2027년 4월 30일

연구 완료 (추정된)

2027년 6월 30일

연구 등록 날짜

최초 제출

2026년 9월 9일

QC 기준을 충족하는 최초 제출

2026년 9월 23일

처음 게시됨 (실제)

2026년 9월 29일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

2026년 9월 29일

QC 기준을 충족하는 마지막 업데이트 제출

2026년 9월 23일

마지막으로 확인됨

2026년 8월 1일

추가 정보

이 연구와 관련된 용어

추가 관련 MeSH 약관

기타 연구 ID 번호

  • AM260787
  • AM260787 (기타 보조금/기금 번호: University of Michigan Roybal Center)

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

아니요

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

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