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Longitudinal assessment of daily activity patterns on weight change after involuntary job loss: the ADAPT study protocol

Overview of attention for article published in BMC Public Health, October 2017
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2 tweeters

Citations

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6 Dimensions

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71 Mendeley
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Title
Longitudinal assessment of daily activity patterns on weight change after involuntary job loss: the ADAPT study protocol
Published in
BMC Public Health, October 2017
DOI 10.1186/s12889-017-4818-2
Pubmed ID
Authors

Patricia L. Haynes, Graciela E. Silva, George W. Howe, Cynthia A. Thomson, Emily A. Butler, Stuart F. Quan, Duane Sherrill, Molly Scanlon, Darlynn M. Rojo-Wissar, Devan N. Gengler, David A. Glickenstein

Abstract

The World Health Organization has identified obesity as one of the most visible and neglected public health problems worldwide. Meta-analytic studies suggest that insufficient sleep increases the risk of developing obesity and related serious medical conditions. Unfortunately, the nationwide average sleep duration has steadily declined over the last two decades with 25% of U.S. adults reporting insufficient sleep. Stress is also an important indirect factor in obesity, and chronic stress and laboratory-induced stress negatively impact sleep. Despite what we know from basic sciences about (a) stress and sleep and (b) sleep and obesity, we know very little about how these factors actually manifest in a natural environment. The Assessing Daily Activity Patterns Through Occupational Transitions (ADAPT) study tests whether sleep disruption plays a key role in the development of obesity for individuals exposed to involuntary job loss, a life event that is often stressful and disrupting to an individual's daily routine. This is an 18-month closed, cohort research design examining social rhythms, sleep, dietary intake, energy expenditure, waist circumference, and weight gain over 18 months in individuals who have sustained involuntary job loss. Approximately 332 participants who lost their job within the last 3 months are recruited from flyers within the Arizona Department of Economic Security (AZDES) Unemployment Insurance Administration application packets and other related postings. Multivariate growth curve modeling will be used to investigate the temporal precedence of changes in social rhythms, sleep, and weight gain. It is hypothesized that: (1) unemployed individuals with less consistent social rhythms and worse sleep will have steeper weight gain trajectories over 18 months than unemployed individuals with stable social rhythms and better sleep; (2) disrupted sleep will mediate the relationship between social rhythm disruption and weight gain; and (3) reemployment will be associated with a reversal in the negative trajectories outlined above. Positive findings will provide support for the development of obesity prevention campaigns targeting sleep and social rhythms in an accessible subgroup of vulnerable individuals.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 15%
Student > Bachelor 10 14%
Researcher 7 10%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 5 7%
Other 13 18%
Unknown 19 27%
Readers by discipline Count As %
Nursing and Health Professions 11 15%
Medicine and Dentistry 8 11%
Psychology 6 8%
Social Sciences 6 8%
Engineering 4 6%
Other 18 25%
Unknown 18 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 December 2017.
All research outputs
#7,417,030
of 12,348,212 outputs
Outputs from BMC Public Health
#5,965
of 8,352 outputs
Outputs of similar age
#144,614
of 278,860 outputs
Outputs of similar age from BMC Public Health
#77
of 120 outputs
Altmetric has tracked 12,348,212 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,352 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 278,860 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.