Effects of sleep self-monitoring via app on subjective sleep markers in student athletes

Jakowski, Sarah; Stork, Moritz

doi:10.1007/s11818-022-00395-z

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Sleep Cycle is a smartphone application (Sleep Cycle AB, Gothenburg, Sweden) that tracks night-time sound and movement. Sleep Cycle app has been used and evaluated in several studies (Patel et al, 2017;Bianchi, 2018;Choi et al, 2018;Jakowski and Stork, 2022). Countries' sleep duration ranged from 6 h 15 min (coded as score 1 for analyses) to 7 h 30 min (score 6).…”

Section: Methodsmentioning

confidence: 99%

Sleep and happiness: socio-economic, population and cultural correlates of sleep duration and subjective well-being in 52 countries

2023

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IntroductionGetting enough sleep is one of the essential lifestyle factors influencing health and well-being. However, there are considerable differences between countries in how much people sleep on average. The present study investigated how socio-economic factors, population variables, and cultural value dimensions are related to sleep duration in a sample of 52 countries.MethodThe study design was ecological, i.e., the aggregate values for each country were obtained, and their correlations to national average sleep duration were analysed. The sleep duration estimates were based on Sleep Cycle Application (Sleep Cycle AB, Gothenburg, Sweden) data. The socio-economic variables included the economic health of a country (GDP per capita), how well a country is governed (governance quality measured with WGI), and the economic inequality (the gap between rich and poor measured with the Gini index) within a nation. The population variables included the urbanisation rate (proportion of people living in urbanised areas), life expectancy at birth, mean years of schooling among the population aged 25 years and older, median age of the population, and the prevalence of obesity (% of adults with BMI ≥ 30). The cultural value dimensions were measured with Hofstede's cultural value dimensions (power distance, individualism, masculinity, uncertainty avoidance, long-term orientation, and indulgence). The data were analysed by using zero-order correlations, partial correlations, and canonical correlation analyses.ResultsResults showed a relatively strong intercorrelation between the national average of sleep duration and national happiness, i.e., subjective well-being. Among the socio-economic variables, WGI had the strongest relationship to sleep, whereas among population variables, schooling and obesity had the strongest correlations with sleep. Zero-order correlations between sleep and power distance and individualism were statistically significant, whereas in the partial correlations, individualism and masculinity appeared as important factors. Canonical correlation analysis showed strong correlations between the well-being variables (sleep and happiness) and the socio-economic variables, well-being variables and population variables, and cultural values and well-being variables.DiscussionThe present study is an opening for a new line of research in which sleep is seen as an essential part of societal life and collective well-being.

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Section: Methodsmentioning

confidence: 99%

Sleep and happiness: socio-economic, population and cultural correlates of sleep duration and subjective well-being in 52 countries

2023

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Behavioral interventions and behavior change techniques used to improve sleep outcomes in athlete populations: A scoping review

Wilson,

Sparks,

Cline

et al. 2024

Behavioral Sleep Medicine

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Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study

Tsai

Rajput

Gao

et al. 2023

Journal of the American Medical Informatics Association

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Interactive data visualization can be a viable way to discover patterns in patient-generated health data and enable health behavior changes. However, very few studies have investigated the design and usability of such data visualization. The present study aimed to (1) explore user experiences with sleep data visualizations in the Fitbit app, and (2) focus on end users’ perspectives to identify areas of improvement and potential solutions. The study recruited eighteen pre-medicine college students, who wore Fitbit watches for a two-week sleep data collection period and participated in an exit semi-structured interview to share their experience. A focus group was conducted subsequently to ideate potential solutions. The qualitative analysis identified six pain points (PPs) from the interview data using affinity mapping. Four design solutions were proposed by the focus group to address these PPs and illustrated by a set of mock-ups. The study findings informed four design considerations: (1) usability, (2) transparency and explainability, (3) understandability and actionability, and (4) individualized benchmarking. Further research is needed to examine the design guidelines and best practices of sleep data visualization, to create well-designed visualizations for the general population that enables health behavior changes.

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Effects of sleep self-monitoring via app on subjective sleep markers in student athletes

Cited by 3 publications

References 30 publications

Sleep and happiness: socio-economic, population and cultural correlates of sleep duration and subjective well-being in 52 countries

Sleep and happiness: socio-economic, population and cultural correlates of sleep duration and subjective well-being in 52 countries

Behavioral interventions and behavior change techniques used to improve sleep outcomes in athlete populations: A scoping review

Improving the design of patient-generated health data visualizations: design considerations from a Fitbit sleep study

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