Mapping the social and physical contexts of physical activity across adolescence using ecological momentary assessment

Dunton, Genevieve F.; Whalen, Carol K.; Jamner, Larry D.; Floro, Josh

doi:10.1007/bf02872669

Cited by 98 publications

(120 citation statements)

References 42 publications

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“…The activities considered as 'job' activities were a mixture of both paid (eg, paper-round) and unpaid (eg, Boy Scouts) activities, which might be conducted either indoors or outdoors. A positive association between the time spent outdoors and increased physical activity has previously been suggested 32 and our results are in agreement with this. A key and consistent finding in this study is that the more active boys reported playing more sport.…”

Section: Comparison With Other Studiessupporting

confidence: 94%

The Association Between the Type, Context, and Levels of Physical Activity Amongst Adolescents

Koorts¹,

Mattocks²,

Ness³

et al. 2011

Journal of Physical Activity and Health

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Background:Little is known about how the type and context of physical activity behaviors varies among adolescents with differing activity levels. The aim of this study was to assess differences in the type and context of physical activity behaviors in adolescents by level of objectively measured physical activity. Methods: Cross-sectional analysis of 2728 adolescents (1299 males, 1429 females) participating in the Avon Longitudinal Study of Parents and Children (ALSPAC). The mean (SD) age was 13.8 (+0.1) years. Physical activity was measured using an Actigraph over 7 days. Adolescents were categorized into tertiles of activity (less, moderately, highly active) using counts/min and min/d of moderate-to-vigorous activity (MVPA). Activity type was reported using the Previous Day Physical Activity Recall (PDPAR). Differences in the type and context of activity by activity level were analyzed using Chi squared. Results: Highly active boys reported more job, outside, and sports activities on school days (P < .05), and more sports activities on nonschool days (P < .05). Highly active girls reported more outside activities on school days (P < .05). Conclusions: Identifying the type and context of physical activity behaviors associated with more active adolescents, can help inform policy and physical activity interventions aimed at increasing activity levels in adolescents.

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Section: Comparison With Other Studiessupporting

confidence: 94%

The Association Between the Type, Context, and Levels of Physical Activity Amongst Adolescents

Koorts¹,

Mattocks²,

Ness³

et al. 2011

Journal of Physical Activity and Health

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“…London children aged 11-12 years reported that sedentary activities became more common in cold weather (Brodersen et al 2005). Dunton et al (2007) made electronically prompted diary recordings every 30 min for 4 days on 502 Californian students in Grades 9-12; deliberate exercise and walking were again recorded more frequently in the fall and spring than during the winter. Some of the objective data are for spring and fall rather than summer and winter; thus, Goran et al (1998) used doubly labelled water and gas consumption measurements to demonstrate that the active energy expenditures of 7-to 8-year-old children in Vermont and Alabama were 0.21-0.42 MJ/day greater in the spring than in the fall (ns).…”

Section: Childrenmentioning

confidence: 99%

Seasonal variations in physical activity and implications for human health

2009

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This review explores the implications of seasonal changes in physical activity for fitness and human health. Photosensitivity and nutrient shortages mediate animal hibernation via the hypothalamus and changes in leptin and ghrelin concentrations. Opportunities for hunting and crop cultivation determine seasonal activity in under-developed human societies, but in developed societies temperature and rainfall are dominant influences, usually over-riding innate rhythms. Both questionnaire data and objective measurements show that many groups from children to the elderly increase their physical activity from winter to spring or summer. Measurements of maximal oxygen intake and muscle strength commonly show parallel seasonal changes. However, potential effects upon body mass and body fat may be counteracted by changes of food intake; subsistence agriculturists sometimes maintain or increase physical activity at the expense of a decrease in body mass. In developed societies, body fat commonly increases during the winter, with parallel changes in blood lipids, blood pressure and blood coagulability; moreover, these changes are not always fully reversed the following summer. Most developed societies show increased all-cause and cardiac mortalities in the winter. Health consequences of seasonal variations in physical activity including an increased vulnerability to cardiac catastrophe and a year-by-year increase in total body fat seem most likely if the average level of physical activity for the year is low. Public health recommendations should underline the importance of maintaining physical activity during adverse environmental conditions by adapting clothing, modifying behaviour and exploiting any available air-conditioned indoor facilities.

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“…While the articles to date have provided some evidence for the feasibility of collecting behavioral parameters from adolescents over a short period of time [8], the methodology commonly lacks physiological measurement and is limited to examining variables for a short duration (i.e., 4 days) [4]. The development of dynamical regulatory systems models will require long assessment windows or frequent repeated assessments; comprehensive assessment of behavioral, physiological, and subjective variables; and participants who are willing to comply with the methods necessary to develop intensive longitudinal data.…”

mentioning

confidence: 99%

The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study

Brannon

Cushing

Crick

et al. 2016

Behav. Med. Pract. Policy Res.

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Intervention development can be accelerated by using wearable sensors and ecological momentary assessment (EMA) to study how behaviors change within a person. The purpose of this study was to determine the feasibility and acceptability of a novel, intensive EMA method for assessing physiology, behavior, and psychosocial variables utilizing two objective sensors and a mobile application (app). Adolescents (n = 20) enrolled in a 20-day EMA protocol. Participants wore a physiological monitor and an accelerometer that measured sleep and physical activity and completed four surveys per day on an app. Participants provided approximately 81 % of the expected survey data. Participants were compliant to the wrist-worn accelerometer (75.3 %), which is a feasible measurement of physical activity/sleep (74.1 % complete data). The data capture (47.8 %) and compliance (70.28 %) with the physiological monitor were lower than other study variables. The findings support the use of an intensive assessment protocol to study real-time relationships between biopsychosocial variables and health behaviors. KeywordsFeasibility, Ecological momentary assessment, Physical activity, Adolescents, Wearable sensors Understanding how behaviors change within a person has the potential to inform intervention development. To date, however, health behavior data has not been assessed with enough precision or with a high enough sampling rate to use computational modeling approaches to understand dynamic processes [1]. In recent years, wearable sensors combined with subjective reports of internal states (e.g., ecological momentary assessment) have emerged as technologies that hold tremendous potential for identifying drivers of human behavior and accelerating behavioral medicine research. Ecological momentary assessment refers to the collection of behavioral, physiological, or self-reported data in nearly real time and in a person's natural environment. Therefore, this kind of data capture is less susceptible to recall bias and is more sensitive to contextual factors that may influence variables of interest.Wearable sensors provide precise and temporally dense information regarding the behavioral, physiological, and even affective states of individuals throughout the day [1]. With enough observations of intensive longitudinal data combining wearable sensors and ecological momentary assessment technologies, it may be possible to develop dynamical systems models of high value health behaviors such as sedentary activity, moderate to vigorous physical activity, sleep, and diet.Dynamical system modeling, a computational approach to understanding relationships in measured data, allows for the study of the relationships between variables, within a system (i.e., an individual) over time, and provides a comprehensive analytic technique for testing theories of behavior change [2]. In order for dynamical systems models to be maximally effective, high-throughput data indicating the state of the system needs to be available in high temporal density. This ...

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Mapping the social and physical contexts of physical activity across adolescence using ecological momentary assessment

Cited by 98 publications

References 42 publications

The Association Between the Type, Context, and Levels of Physical Activity Amongst Adolescents

The Association Between the Type, Context, and Levels of Physical Activity Amongst Adolescents

Seasonal variations in physical activity and implications for human health

The promise of wearable sensors and ecological momentary assessment measures for dynamical systems modeling in adolescents: a feasibility and acceptability study

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