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DataSheet1_Exploring Associations Between Device-Based Occupational Sedentary Behavior and Need for Recovery in White Collar Workers: A Compositional Data-Analysis.pdf

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/DataSheet1_Exploring_Associations_Between_Device-Based_Occupational_Sedentary_Behavior_and_Need_for_Recovery_in_White_Collar_Workers_A_Compositional_Data-Analysis_pdf/26391811
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ObjectivesWhite collar workers spend an increasing amount of time in occupational sedentary behavior (OSB) and are thereby at risk for adverse health outcomes. Nevertheless, the association between OSB and the need for recovery (NFR), an important indicator of wellbeing, is unknown and therefore examined. MethodsBaseline data from a cluster randomized controlled trial was used. A subgroup of 89 white collar workers wore a triaxial accelerometer for 7 days. NFR was measured using the Questionnaire on the Experience and Evaluation of Work. Compositional data analysis was applied to determine the composition of different OSB bouts (short, medium and long) and occupational physical activity (OPA) (light, moderate and vigorous and standing). Linear regression analyses were performed to explore the associations between occupational compositions and NFR. ResultsRelatively more time spent in long OSB bouts was associated with a lower NFR (β: −11.30, 95% CI: −20.2 to −2.4). Short and medium OSB bouts and OPA were not associated with NFR. ConclusionAssociations between OSB bouts, OPA and NFR hinted at contrasting trends, suggesting the need to consider different bout lengths of OSB in future studies.

研究目的:白领人群的职业久坐行为(occupational sedentary behavior, OSB)时长持续增加,由此面临不良健康结局的风险。然而,职业久坐行为与作为健康福祉重要评价指标的恢复需求(need for recovery, NFR)之间的关联尚未明确,本研究就此展开探讨。 研究方法:本研究采用整群随机对照试验的基线数据。89名白领受试者组成的亚组佩戴三轴加速度记录仪(triaxial accelerometer)连续7天。采用《工作体验与评估问卷》(Questionnaire on the Experience and Evaluation of Work)测量恢复需求。通过成分数据分析(compositional data analysis)明确不同时长职业久坐时段(短、中、长)与职业体力活动(occupational physical activity, OPA,涵盖轻、中、高强度活动及站立状态)的构成情况。采用线性回归分析(linear regression analyses)探究职业活动构成与恢复需求之间的关联。 研究结果:较长时长的职业久坐时段与更低的恢复需求显著相关(β=-11.30,95%CI:-20.2~-2.4)。短、中时长的职业久坐时段及职业体力活动与恢复需求无显著关联。 研究结论:职业久坐时段、职业体力活动与恢复需求之间的关联呈现相反趋势,提示未来研究需考量职业久坐时段的不同时长划分。
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