This 12-week trial will test the efficacy of a multi-component, personalized text-message delivered behavior change technique (BCT) intervention to encourage habitual physical activity (defined as regular walking of 1,000 or more steps during a one-hour period on 7 consecutive days according to a personalized walking plan) among care providers of persons with AD/ADRD via the key mechanism of behavior change (MoBC) of automaticity. The main question it aims to answer whether a multi-component, personalized BCT intervention to increase a walking habit of 1,000 steps/day will lead to successful development of habitual walking among 60 percent of caregivers enrolled.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
BASIC_SCIENCE
Masking
NONE
Enrollment
100
Behavior Change Technique 1: Goal setting (Behavior) (BCT 1.1). Goal setting for behavior is defined as setting a goal for the behavior to be achieved. Behavior Change Technique 2: Action planning (BCT 1.4). Action planning is defined as detailing the plan of where, for how long, and at what time taking medication is going to be performed. Behavior Change Technique 3: Self-monitoring of behavior (BCT 2.3). Self-monitoring of behavior is defined as monitoring and recording behavior. Behavior Change Technique 4: Prompts/Cues (BCT 7.1) This BCT is defined as prompt rehearsal and repetition of the behavior in the same context repeatedly, so that the context elicits the behavior.
Institute of Health System Science
New Hyde Park, New York, United States
RECRUITINGBinary indicator of habit formation
Binary indicator of habit formation, defined as a daily walking habit of 1,000 steps during a pre-determined period identified during baseline. Assessing the efficacy of the personalized BCT intervention by testing the null hypothesis of habit formation rate equal to 40% using a 1-sample binomial test at the 5% level 2-sided. Rate of habit formation will be summarized using the observed proportion, along with a 95% confidence interval.
Time frame: Baseline to intervention period (12 weeks)
Habit formation association with changes in automaticity
Examine whether habit formation will be associated with positive changes in automaticity, using Fisher's exact test (5% 2-sided). Specifically, for each participant, the difference between average automaticity during the last 2 weeks of intervention and average baseline automaticity will be calculated. Rate of habit formation between the group of participants, whose automaticity increased and the participants whose automaticity did not, will be compared using a Fisher's exact test. Logistic regression will be used to assess the effects of automaticity on the development of a daily walking habit with adjustment for other factors, such caregiver demographic characteristics and factors related to caregiving.
Time frame: Baseline (first 2 weeks of study) and last 2 weeks of intervention
Longitudinal association between automaticity and habitual walking over time
Weekly automaticity and its association with habit formation using a multivariate Bayesian logistic regression model, trained using iPIPE,238 a novel statistical learning method.
Time frame: Baseline to intervention period (12 weeks)
Heterogeneity of treatment effects for habit formation and on changes in automaticity
Conduct analyses of heterogeneity of treatment effects (HTEs) across participants. This will involve examining the heterogeneity in time to achieving habitual daily walking due to the BCT intervention.
Time frame: Baseline to intervention period (12 weeks)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.