Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study
BackgroundYoung adulthood (ages 18-29 years) is marked by substantial weight gain, leading to increased lifetime risks of chronic diseases. Engaging in sufficient levels of physical activity and sleep, and limiting sedentary time are important contributors to the prevention o...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-07-01
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| Series: | JMIR Research Protocols |
| Online Access: | https://www.researchprotocols.org/2022/7/e36666 |
| _version_ | 1797734909209477120 |
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| author | Shirlene Wang Stephen Intille Aditya Ponnada Bridgette Do Alexander Rothman Genevieve Dunton |
| author_facet | Shirlene Wang Stephen Intille Aditya Ponnada Bridgette Do Alexander Rothman Genevieve Dunton |
| author_sort | Shirlene Wang |
| collection | DOAJ |
| description |
BackgroundYoung adulthood (ages 18-29 years) is marked by substantial weight gain, leading to increased lifetime risks of chronic diseases. Engaging in sufficient levels of physical activity and sleep, and limiting sedentary time are important contributors to the prevention of weight gain. Dual-process models of decision-making and behavior that delineate reflective (ie, deliberative, slow) and reactive (ie, automatic, fast) processes shed light on different mechanisms underlying the adoption versus maintenance of these energy-balance behaviors. However, reflective and reactive processes may unfold at different time scales and vary across people.
ObjectiveThis paper describes the study design, recruitment, and data collection procedures for the Temporal Influences on Movement and Exercise (TIME) study, a 12-month intensive longitudinal data collection study to examine real-time microtemporal influences underlying the adoption and maintenance of physical activity, sedentary behavior, and sleep.
MethodsIntermittent ecological momentary assessment (eg, intentions, self-control) and continuous, sensor-based passive monitoring (eg, location, phone/app use, activity levels) occur using smartwatches and smartphones. Data analyses will combine idiographic (person-specific, data-driven) and nomothetic (generalizable, theory-driven) approaches to build models that may predict within-subject variation in the likelihood of behavior “episodes” (eg, ≥10 minutes of physical activity, ≥120 minutes of sedentary time, ≥7 hours sleep) and “lapses” (ie, not attaining recommended levels for ≥7 days) as a function of reflective and reactive factors.
ResultsThe study recruited young adults across the United States (N=246). Rolling recruitment began in March 2020 and ended August 2021. Data collection will continue until August 2022.
ConclusionsResults from the TIME study will be used to build more predictive health behavior theories, and inform personalized behavior interventions to reduce obesity and improve public health.
International Registered Report Identifier (IRRID)DERR1-10.2196/36666 |
| first_indexed | 2024-03-12T12:50:15Z |
| format | Article |
| id | doaj.art-1ff287bd010e4102b3a5ce97447a4290 |
| institution | Directory Open Access Journal |
| issn | 1929-0748 |
| language | English |
| last_indexed | 2024-03-12T12:50:15Z |
| publishDate | 2022-07-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Research Protocols |
| spelling | doaj.art-1ff287bd010e4102b3a5ce97447a42902023-08-28T22:43:32ZengJMIR PublicationsJMIR Research Protocols1929-07482022-07-01117e3666610.2196/36666Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational StudyShirlene Wanghttps://orcid.org/0000-0002-9132-4427Stephen Intillehttps://orcid.org/0000-0002-0287-2553Aditya Ponnadahttps://orcid.org/0000-0003-0072-1089Bridgette Dohttps://orcid.org/0000-0003-1601-9139Alexander Rothmanhttps://orcid.org/0000-0002-7847-4500Genevieve Duntonhttps://orcid.org/0000-0002-4129-3829 BackgroundYoung adulthood (ages 18-29 years) is marked by substantial weight gain, leading to increased lifetime risks of chronic diseases. Engaging in sufficient levels of physical activity and sleep, and limiting sedentary time are important contributors to the prevention of weight gain. Dual-process models of decision-making and behavior that delineate reflective (ie, deliberative, slow) and reactive (ie, automatic, fast) processes shed light on different mechanisms underlying the adoption versus maintenance of these energy-balance behaviors. However, reflective and reactive processes may unfold at different time scales and vary across people. ObjectiveThis paper describes the study design, recruitment, and data collection procedures for the Temporal Influences on Movement and Exercise (TIME) study, a 12-month intensive longitudinal data collection study to examine real-time microtemporal influences underlying the adoption and maintenance of physical activity, sedentary behavior, and sleep. MethodsIntermittent ecological momentary assessment (eg, intentions, self-control) and continuous, sensor-based passive monitoring (eg, location, phone/app use, activity levels) occur using smartwatches and smartphones. Data analyses will combine idiographic (person-specific, data-driven) and nomothetic (generalizable, theory-driven) approaches to build models that may predict within-subject variation in the likelihood of behavior “episodes” (eg, ≥10 minutes of physical activity, ≥120 minutes of sedentary time, ≥7 hours sleep) and “lapses” (ie, not attaining recommended levels for ≥7 days) as a function of reflective and reactive factors. ResultsThe study recruited young adults across the United States (N=246). Rolling recruitment began in March 2020 and ended August 2021. Data collection will continue until August 2022. ConclusionsResults from the TIME study will be used to build more predictive health behavior theories, and inform personalized behavior interventions to reduce obesity and improve public health. International Registered Report Identifier (IRRID)DERR1-10.2196/36666https://www.researchprotocols.org/2022/7/e36666 |
| spellingShingle | Shirlene Wang Stephen Intille Aditya Ponnada Bridgette Do Alexander Rothman Genevieve Dunton Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study JMIR Research Protocols |
| title | Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study |
| title_full | Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study |
| title_fullStr | Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study |
| title_full_unstemmed | Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study |
| title_short | Investigating Microtemporal Processes Underlying Health Behavior Adoption and Maintenance: Protocol for an Intensive Longitudinal Observational Study |
| title_sort | investigating microtemporal processes underlying health behavior adoption and maintenance protocol for an intensive longitudinal observational study |
| url | https://www.researchprotocols.org/2022/7/e36666 |
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