A community-based qualitative study identified multilevel influences on sleep duration, quality, and timing in 10 to 12-year-old Latino pre-adolescents via 11 focus groups with 46 children and 15 interviews with parents. An iterative content analysis revealed three themes negatively and positively impacted sleep: (1) Individual-level; (2) Social-level; and (3) Environmental-level influences. At the individual level, use of technology (e.g., phones), activity levels (e.g., sitting all day), dietary intake (e.g., junk food) and emotions (e.g., stress/anxiety) were reported to impact children’s sleep. Social-level influences included interactions with peers and family members as well as time hanging out and arguing/fighting. Environmental-level influences were living in home and neighborhood settings with certain sounds (e.g., soothing music), uncomfortable temperatures, and items/things (e.g., stuffed animal) in the sleeping area. Parent reports indicated that some factors at each level were exacerbated by the COVID-19 pandemic. Findings that influences at various levels interacted to impact sleep illustrate the need to simultaneously account for multiple levels of influence to best inform intervention development. Thus, application of social ecological models of behavior change to interventions may enhance sleep duration, quality, and timing among Latino pre-adolescents, as these models account for single as well as interacting influences to explain behavior.
Sociotechnical Design Opportunities for Pervasive Family Sleep Technologies
Getting the right amount of high quality sleep is crucial for overall health and wellbeing, and pervasive and ubiquitous computing technologies have shown promise for allowing individuals to track and manage their sleep quality. However, sleep technology research has traditionally focused on individual-level solutions. In this paper, we elucidate social requirements for family sleep technologies. We take a family informatics approach to sleep, through an in-home interview study with 10 families with young children. We describe families’ current practices, values, and perceived role for technology, showing that sleep technology has many opportunities beyond individual-level tracking. We also provide design dimensions and implications for family-based sleep technologies, especially the potential for technologies that support family activities and rituals, encourage children’s independence, and provide comfort.
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- Award ID(s):
- 1850273
- NSF-PAR ID:
- 10232588
- Date Published:
- Journal Name:
- 14th EAI International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth ’20)
- Page Range / eLocation ID:
- 11 to 20
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3421937.3421979
