ArticleJournal of occupational health2020
Identifying characteristics of indicators of sedentary behavior using objective measurements.
Article in Journal of occupational health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Can self-monitoring mobile health apps reduce sedentary behavior? A randomized controlled trial.Journal of occupational health · 2020Trial
- Physical Activity, Sedentary Time, and Obesity in Adolescents: Differences by School Grade.The Journal of school health · 2026Article
- Identifying characteristics of indicators of sedentary behavior using objective measurements.Journal of occupational health · 2020Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveRecent attention has been focused on sedentary behavior (SB) affecting health outcomes, but the characteristics of indicators reflecting SB remain to be identified. This cross-sectional study aims to identify the characteristics of indicators of SB, focusing on the examination of correlations, reliability, and validity of sedentary variables assessed by the smartphone app.
methodObjectively measured data of SB of eligible 46 Japanese workers obtained from smartphones were used. We assessed the characteristics of current indicators being used with a 10-minute or 30-minute thresholds, in addition to the conventional indicators of total sedentary time, mean sedentary bout duration, and total number of sedentary bouts. They were evaluated from three perspectives: (a) association among the indicators, (b) reliability of the indicators, and (c) criterion validity.
resultsTotal sedentary time under 10 minutes (U10) and U30 had negative associations with Total sedentary time (r = -.47 and -.21 respectively). The correlation between Mean sedentary bout duration and Total number of sedentary bouts was -.84, whereas between Mean sedentary bout duration 10, 30 and Total number of sedentary bouts were -.54 and -.21, respectively. The intraclass correlation coefficients of almost all indicators were around .80. Mean sedentary bout duration, Mean sedentary bout duration 10, Total number of sedentary bouts, Total sedentary time 30, U30 and U10 have significant differences between three BMI groups.
conclusionThis study comprehensively revealed the rationale of advantage in the current indicator being used with a 10-minute or 30-minute threshold, rather than the conventional total amount of SB.
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