Disability and sleep duration: Evidence from the American Time Use Survey

2014 ◽  
Vol 7 (3) ◽  
pp. 325-334 ◽  
Author(s):  
Carrie L. Shandra ◽  
Allison Kruger ◽  
Lauren Hale
Author(s):  
Michael Osei Mireku ◽  
Alina Rodriguez

The objective was to investigate the association between time spent on waking activities and nonaligned sleep duration in a representative sample of the US population. We analysed time use data from the American Time Use Survey (ATUS), 2015–2017 (N = 31,621). National Sleep Foundation (NSF) age-specific sleep recommendations were used to define recommended (aligned) sleep duration. The balanced, repeated, replicate variance estimation method was applied to the ATUS data to calculate weighted estimates. Less than half of the US population had a sleep duration that mapped onto the NSF recommendations, and alignment was higher on weekdays (45%) than at weekends (33%). The proportion sleeping longer than the recommended duration was higher than those sleeping shorter on both weekdays and weekends (p < 0.001). Time spent on work, personal care, socialising, travel, TV watching, education, and total screen time was associated with nonalignment to the sleep recommendations. In comparison to the appropriate recommended sleep group, those with a too-short sleep duration spent more time on work, travel, socialising, relaxing, and leisure. By contrast, those who slept too long spent relatively less time on each of these activities. The findings indicate that sleep duration among the US population does not map onto the NSF sleep recommendations, mostly because of a higher proportion of long sleepers compared to short sleepers. More time spent on work, travel, and socialising and relaxing activities is strongly associated with an increased risk of nonalignment to NSF sleep duration recommendations.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A86-A86
Author(s):  
S Iao ◽  
K Shedden ◽  
E C Jansen ◽  
L M O’Brien ◽  
R D Chervin ◽  
...  

Abstract Introduction Sleep hygiene recommendations discourage eating close to bedtime, though published data on the impact are not consistent. Associations between eating or drinking, within 1-hour prior to bedtime, sleep duration and sleep fragmentation were examined in a nationally-representative sample. Methods Data from the American Time Use Survey (ATUS), administered to a nationally representative sample of n=201,151 US residents aged ≥15 years were utilized. In an annual phone interview, ATUS participants were asked to record their activities during a 24-hour period (04:00am to 04:00am on the interview day) and were randomly selected to report weekdays or weekend activities. The present analysis included data from 2003–2018 and restricted to weekday respondents (n=124,242). Reporting of eating/drinking activities within 1-hour prior to bedtime was considered as a dichotomous variable (yes/no). Sleep fragmentation was defined as any awakening during the primary sleep episode (yes/no). Linear and logistic regression models, adjusted for age, sex, cohabitation, education and employment, were used to examine associations between eating/drinking and sleep duration or sleep fragmentation. Results In this ATUS sample, 56% of respondents were female and the mean age was 45 years. Mean sleep duration was 8.02 (0.007) hours, and 6% of survey participants ate/drank within 1-hour prior to bedtime. Overall, eating/drinking within 1-hour prior to bedtime was associated with longer sleep duration (p&lt;0.01). Women and men who ate/drank within 1-hour prior to bedtime, in comparison to those who did not, had 35 minutes and 26 minutes longer sleep duration (p- value&lt;0.0001) Eating/drinking activities within 1-hour prior to bedtime were associated with 1.8 higher odds of fragmented sleep (p&lt;0.001). Conclusion In this large population-based survey, weekday eating or drinking within 1-hour prior to bedtime was associated with sleep fragmentation and longer sleep duration. Causal pathways would be difficult to discern, though sleep fragmentation could lead to compensatory increases in sleep duration. Support None


2021 ◽  
pp. 1-30
Author(s):  
Su I Iao ◽  
Erica C. Jansen ◽  
Kerby Shedden ◽  
Louise M. O’Brien ◽  
Ronald D. Chervin ◽  
...  

Abstract Sleep hygiene recommendations discourage eating before bedtime, however, the impact of mealtime on sleep has been inconsistent. We examined gender-stratified associations between eating or drinking <1, <2 and <3 hours before bedtime, sleep duration, and wake after sleep onset (WASO>30 minutes). This study utilized 2003-2018 data from the American Time Use Survey (ATUS), a nationally representative sample of US residents aged≥15. Participants recorded weekday/weekend activities during a 24-hour period. Age-specific Sleep duration and WASO were estimated categorically and continuously. Eating or drinking were identified from all activities recorded <1, <2 and <3 hours before bedtime. Mean±SE sleep duration was 8.0±0.006 hours, and 6% of participants ate or drank <1 hour prior to weekdays bedtime. Overall, eating or drinking <1 hour prior to bedtime was associated with longer weekdays sleep duration. Women and men who ate or drank <1 hour before bedtime, vs. those who did not, had 35 minutes [95%CI (30,39)] and 25 minutes [95%CI (21,29)] longer sleep duration, respectively, as well as increased odds of WASO; women [OR=2.03,95%CI (1.66,2.49)] and men [OR=2.64,95%CI (2.08,3.36)]. As the interval of eating or drinking prior to bedtime expanded, odds of short and long sleep durations and WASO decreased. This population-based data linked eating or drinking <1 hour before bedtime to longer sleep duration, but increased WASO. Eating or drinking further from bedtime lowers the odds of short and long sleep duration and WASO. Causal pathways are difficult to discern, though inefficient sleep after late-night eating could increase WASO and trigger compensatory increases in sleep duration.


2020 ◽  
Author(s):  
Lena Hensvik ◽  
Thomas Le Barbanchon ◽  
Roland Rathelot

2020 ◽  
Author(s):  
Kamila Kolpashnikova

In this paper, I will demonstrate how to create tempograms using the original American Time Use Survey data from the US Bureau of Labor Statistics2. For this project, the 2003-2018sample of diaries is used (file names: atusact0318 and atussum0318).Additionally, I identify the bottleneck, where the performance of Stata’s underlying functions could be optimised to improve the work with time-use data for researchers who use Stata.


PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252843
Author(s):  
Kamila Kolpashnikova ◽  
Sarah Flood ◽  
Oriel Sullivan ◽  
Liana Sayer ◽  
Ekaterina Hertog ◽  
...  

Time-use data can often be perceived as inaccessible by non-specialists due to their unique format. This article introduces the ATUS-X diary visualization tool that aims to address the accessibility issue and expand the user base of time-use data by providing users with opportunity to quickly visualize their own subsamples of the American Time Use Survey Data Extractor (ATUS-X). Complementing the ATUS-X, the online tool provides an easy point-and-click interface, making data exploration readily accessible in a visual form. The tool can benefit a wider academic audience, policy-makers, non-academic researchers, and journalists by removing accessibility barriers to time use diaries.


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