Walking Behaviors Reported in the American Time Use Survey 2003–2005

2008 ◽  
Vol 5 (5) ◽  
pp. 633-647 ◽  
Author(s):  
Catrine Tudor-Locke ◽  
Sandra A. Ham

Background:We report walking for shopping, exercise, transportation, and walking the dog, among other sources captured in the 2003 to 2005 American Time Use Survey (ATUS).Methods:We extracted and analyzed 8 walking behaviors (by sex, age, education level, and race/ethnicity) from 24 hours of activities recalled by telephone interview for 15,175 males and 19,518 females age ≥15 years.Results:On any given day in 2003 to 2005, 45.8% of Americans participated in a median of 45 minutes of any walking activities; 31.6% walked for shopping purposes, 12.5% walked for transportation, 4.8% walked for exercise, and 2.5% walked the dog. College-educated respondents more commonly reported walking while shopping, walking for exercise, and dog walking. Those with less than a high school education more commonly reported walking for transportation.Conclusions:Despite limitations identified in imputing explicit and implicit performance of walking behaviors in the ATUS, Americans engage in a wide variety of walking behaviors that are not well represented by surveys focused only on leisure-time behaviors. Public health implications include increased availability of multiple and varied opportunities for walking, especially through environmental shifts toward more walkable places and destinations and policy shifts that support walking behaviors over competing transportation modes.

2009 ◽  
Vol 6 (1) ◽  
pp. 6-14 ◽  
Author(s):  
Sandra A. Ham ◽  
Judy Kruger ◽  
Catrine Tudor-Locke

Background:Given the evidence that regular physical activity produces substantial health benefits, participation in sports, exercise, and recreation is widely encouraged. The objective of this study was to describe participation in sports, exercise, and recreational physical activities among US adults.Methods:Data from 2 national surveys of respondents age 18 years and older were analyzed. Respondents to the American Time Use Survey (ATUS) from 2003 through 2005 (N = 45,246) reported all activities on 1 randomly selected survey day. Respondents to the National Health and Nutrition Examination Survey (NHANES) from 1999 through 2004 (N = 17,061) reported leisure-time physical activities in the 30 days before the interview.Results:One-quarter of adults participated in any sport, exercise, or recreational activity on a random day, and 60.9% of adults participated in any leisure-time activity in the previous 30 days. The most common types of activities were walking, gardening and yard work, and other forms of exercise. The sports and recreational activities had typical durations of 1/2 to 3 hours per session, and the exercise activities typically lasted 1 hour or less.Conclusions:The prevalence of sports, exercise, and recreational physical activities is generally low among US adults; exercise is the most commonly reported type of activity.


2020 ◽  
Author(s):  
Kelsey Jeanne Drotning

Over the last several decades, there has been an increase in the number of single person households which has implications for how much time people are spending alone and who is socially isolated. Using an intersectional framework, I examine how gender and race-ethnicity shape how much time people spend alone by analyzing time diary data from the American Time Use Survey, 2003-2018. Following McCall’s (2005) method of intercategorical intersectional analysis, I find that Black men spend the most time alone compared to seven other gender-race groups. I also find that marriage and employment have varying effects on how much time each group spends alone with Black men, unemployed persons, and older adults spending more time alone than other groups. This research highlights the importance of examining how much time people spend alone by both gender and race and identifies groups who may be at greater risk of social isolation due to disparate rates of time spent alone.


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.


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.


Sign in / Sign up

Export Citation Format

Share Document