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工人的全天工作量与次日的认知表现。

Workers' whole day workload and next day cognitive performance.

作者信息

Hernandez Raymond, Jin Haomiao, Pyatak Elizabeth A, Roll Shawn C, Schneider Stefan

机构信息

Dornsife Center for Economic & Social Research, University of Southern California, 90089 Los Angeles, CA USA.

Chan Division of Occupational Science and Occupational Therapy, University of Southern California, 90089 Los Angeles, CA USA.

出版信息

Curr Psychol. 2023 Mar 3;43(3):1-14. doi: 10.1007/s12144-023-04400-y.

Abstract

Workload experienced over the whole day, not just work periods, may impact worker cognitive performance. We hypothesized that experiencing greater than typical whole day workload would be associated with lower visual processing speed and lower sustained attention ability, on the next day. To test this, we used dynamic structural equation modeling to analyze data from 56 workers with type 1 diabetes. For a two-week period, on smartphones they answered questions about whole day workload at the end of each day, and completed cognitive tests 5 or 6 times throughout each day. Repeated smartphone cognitive tests were used, instead of traditional one- time cognitive assessment in the laboratory, to increase the ecological validity of the cognitive tests. Examples of reported occupations in our sample included housekeeper, teacher, physician, and cashier. On workdays, the mean number of work hours reported was 6.58 (SD 3.5). At the within-person level, greater whole day workload predicted decreased mean processing speed the next day (standardized estimate=-0.10, 95% CI -0.18 to -0.01) using a random intercept model; the relationship was not significant and only demonstrated a tendency toward the expected effect (standardized estimate= -0.07, 95% CI -0.15 to 0.01) in a model with a random intercept and a random regression slope. Whole day workload was not found to be associated with next-day mean sustained attention ability. Study results suggested that just one day of greater than average workload could impact next day processing speed, but future studies with larger sample sizes are needed to corroborate this finding.

摘要

一整天(而非仅仅工作时段)所经历的工作量可能会影响员工的认知表现。我们假设,经历超过平常一整天的工作量会与次日较低的视觉处理速度和持续注意力相关。为了验证这一点,我们使用动态结构方程模型分析了56名1型糖尿病患者的数据。在为期两周的时间里,他们每天通过智能手机在一天结束时回答有关一整天工作量的问题,并在一天中完成5次或6次认知测试。我们采用重复的智能手机认知测试,而非传统的实验室一次性认知评估,以提高认知测试的生态效度。我们样本中报告的职业包括管家、教师、医生和收银员。在工作日,报告的平均工作时长为6.58小时(标准差为3.5)。在个体层面,使用随机截距模型,更大的一整天工作量预示着次日平均处理速度会下降(标准化估计值=-0.10,95%置信区间为-0.18至-0.01);在一个具有随机截距和随机回归斜率的模型中,这种关系并不显著,仅显示出预期效应的一种趋势(标准化估计值=-0.07,95%置信区间为-0.15至0.01)。未发现一整天工作量与次日平均持续注意力相关。研究结果表明,仅仅一天高于平均水平的工作量就可能影响次日的处理速度,但需要更大样本量的未来研究来证实这一发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd9f/10858101/b0ce208c4fc3/12144_2023_4400_Fig1_HTML.jpg

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