Determinants of weekly raw milk use by at-home meal preparers in the USA: evidence from the 2014–2016 American Time Use Survey – Eating and Health Module

2020 ◽  
pp. 1-12
Author(s):  
M. Taylor Rhodes ◽  
Fred Kuchler
Keyword(s):  
At Risk ◽  
Time Use ◽  
Raw Milk ◽  
Human Consumption ◽  
American Time Use Survey ◽  
Time Use Survey ◽  
The Usa ◽  
Legislative Changes ◽  
Additional Education ◽  
At Home

Abstract Objective: The number of states in the USA that allows sales of raw milk for human consumption has been trending upwards and reached thirty-eight in 2016. These legislative changes could encourage raw milk consumption. The current study examined the determinants of weekly raw milk use by at-home meal preparers in the USA. Design: Using the 2014–2016 American Time Use Survey – Eating and Health Module, multivariate logit regressions and average marginal associations were estimated to examine how at-home meal preparer characteristics, time use and shopping choices, underlying health and the presence of at-risk individuals in households and raw milk legalisation status are associated with the probability an at-home meal preparer consumed or served raw milk during an average week. Setting: USA. Participants: At-home meal preparers aged 18 years and above. Results: Estimated average marginal associations suggested younger at-home meal preparers, male at-home meal preparers, larger sized households and households located in non-metropolitan areas were more likely to use raw milk during an average week. Married households and households with a person aged 62 years or above were less likely to use raw milk. Variables indicating health characteristics of at-home meal preparers or the presence of an at-risk individual in the household were not statistically significant. Conclusions: There are many government-sponsored information resources about the risks of raw milk currently available. Additional education may be needed to prevent illnesses from raw milk.

scholarly journals Time Spent at Home and Alone in the United States, 2019

2021 ◽  
Author(s):  
Kelsey Jeanne Drotning
Keyword(s):  
United States ◽  
Time Use ◽  
Low Income ◽  
Black People ◽  
The United States ◽  
Foreign Born ◽  
Social Distancing ◽  
American Time Use Survey ◽  
Time Use Survey ◽  
At Home

Social distancing conditions implemented in response to the Covid-19 pandemic significantly altered where and with whom people were able to spend their time. By examining data from the 2019 American Time Use Survey, this study provides a baseline of how much time people spent at home, alone, and alone at home prior to the onset of the pandemic. Men, Black people, older adults, low-income households, foreign-born adults, people who live alone, and people who are unemployed spend more time alone than other groups. These findings highlight which groups in the United States already spent more time at home and more time alone pre-pandemic, forecasting how other groups time use may shift in response to Covid-19 pandemic social distancing regulations.

scholarly journals Sleep Duration and Waking Activities in Relation to the National Sleep Foundation’s Recommendations: An Analysis of US Population Sleep Patterns from 2015 to 2017

2021 ◽  
Vol 18 (11) ◽  
pp. 6154
Author(s):  
Michael Osei Mireku ◽  
Alina Rodriguez
Keyword(s):  
Sleep Duration ◽  
Time Use ◽  
Variance Estimation ◽  
Estimation Method ◽  
Short Sleep Duration ◽  
Weighted Estimates ◽  
American Time Use Survey ◽  
Increased Risk ◽  
The Us ◽  
Time Use Survey

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.

scholarly journals Which Jobs are Done from Home? Evidence from the American Time Use Survey

2020 ◽  
Author(s):  
Lena Hensvik ◽  
Thomas Le Barbanchon ◽  
Roland Rathelot
Keyword(s):  
Time Use ◽  
American Time Use Survey ◽  
Time Use Survey

scholarly journals Graphical Representation of Time Use Diaries in Stata: ATUS Tempograms

2020 ◽  
Author(s):  
Kamila Kolpashnikova
Keyword(s):  
Survey Data ◽  
Time Use ◽  
Graphical Representation ◽  
American Time Use Survey ◽  
The Us ◽  
Time Use Survey ◽  
Representation Of Time

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.

scholarly journals Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252843
Author(s):  
Kamila Kolpashnikova ◽  
Sarah Flood ◽  
Oriel Sullivan ◽  
Liana Sayer ◽  
Ekaterina Hertog ◽  
...  
Keyword(s):  
Time Use ◽  
Visualization Tool ◽  
Policy Makers ◽  
Online Tool ◽  
American Time Use Survey ◽  
Use Patterns ◽  
Accessibility Barriers ◽  
Academic Researchers ◽  
Time Use Survey ◽  
Daily Time

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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