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Effects of physical activity at work and life-style on sleep in workers from an Amazonian Extractivist Reserve

Overview of attention for article published in Sleep Science, July 2026
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)

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Article details
Title
Effects of physical activity at work and life-style on sleep in workers from an Amazonian Extractivist Reserve
Published in
Sleep Science, July 2026
DOI 10.1016/j.slsci.2016.10.001
Pubmed ID
Authors
Abstract

Physical activity has been recommended as a strategy for improving sleep. Nevertheless, physical effort at work might not be not the ideal type of activity to promote sleep quality. The aim of this study was to evaluate the effects of type of job (low vs. high physical effort) and life-style on sleep of workers from an Amazonian Extractivist Reserve, Brazil. A cross-sectional study of 148 low physical activity (factory workers) and 340 high physical activity (rubber tappers) was conducted between September and November 2011. The workers filled out questionnaires collecting data on demographics (sex, age, occupation, marital status and children), health (reported morbidities, sleep disturbances, musculoskeletal pain and body mass index) and life-style (smoking, alcohol use and practice of leisure-time physical activity). Logistic regression models were applied with the presence of sleep disturbances as the primary outcome variable. The prevalence of sleep disturbances among factory workers and rubber tappers was 15.5% and 27.9%, respectively. The following independent variables of the analysis were selected based on a univariate model (p<0.20): sex, age, marital status, work type, smoking, morbidities and musculoskeletal pain. The predictors for sleep disturbances were type of job (high physical effort); sex (female); age (>40 years), and having musculoskeletal pain (≥5 symptoms). Rubber tapper work, owing to greater physical effort, pain and musculoskeletal fatigue, was associated with sleep disturbances. Being female and older than 40 years were also predictors of poor sleep. In short, these findings suggest that demanding physical exertion at work may not improve sleep quality.

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X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 126 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 126 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 19 15%
Student > Master 17 13%
Student > Ph. D. Student 9 7%
Researcher 8 6%
Student > Doctoral Student 4 3%
Other 21 17%
Unknown 48 38%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 18 14%
Sports and Recreations 12 10%
Medicine and Dentistry 10 8%
Psychology 7 6%
Engineering 5 4%
Other 19 15%
Unknown 55 44%
Attention Score in Context

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 24 March 2022.
All research outputs
#22,093,451
of 33,151,542 outputs
Outputs from Sleep Science
#182
of 329 outputs
Outputs of similar age
#60,160
of 175,554 outputs
Outputs of similar age from Sleep Science
#3
of 3 outputs
Altmetric has tracked 33,151,542 research outputs across all sources so far. This one is in the 31st percentile – i.e., 31% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one is in the 41st percentile – i.e., 41% 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 175,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.