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Feasibility of three wearable sensors for 24 hour monitoring in middle-aged women

Overview of attention for article published in BMC Women's Health, July 2015
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Title
Feasibility of three wearable sensors for 24 hour monitoring in middle-aged women
Published in
BMC Women's Health, July 2015
DOI 10.1186/s12905-015-0212-3
Pubmed ID
Authors

Jennifer Huberty, Diane K. Ehlers, Jonathan Kurka, Barbara Ainsworth, Matthew Buman

Abstract

The purpose of this study is to determine the feasibility of three widely used wearable sensors in research settings for 24 h monitoring of sleep, sedentary, and active behaviors in middle-aged women. Participants were 21 inactive, overweight (M Body Mass Index (BMI) = 29.27 ± 7.43) women, 30 to 64 years (M = 45.31 ± 9.67). Women were instructed to wear each sensor on the non-dominant hip (ActiGraph GT3X+), wrist (GENEActiv), or upper arm (BodyMedia SenseWear Mini) for 24 h/day and record daily wake and bed times for one week over the course of three consecutive weeks. Women received feedback about their daily physical activity and sleep behaviors. Feasibility (i.e., acceptability and demand) was measured using surveys, interviews, and wear time. Women felt the GENEActiv (94.7 %) and SenseWear Mini (90.0 %) were easier to wear and preferred the placement (68.4, 80 % respectively) as compared to the ActiGraph (42.9, 47.6 % respectively). Mean wear time on valid days was similar across sensors (ActiGraph: M = 918.8 ± 115.0 min; GENEActiv: M = 949.3 ± 86.6; SenseWear: M = 928.0 ± 101.8) and well above other studies using wake time only protocols. Informational feedback was the biggest motivator, while appearance, comfort, and inconvenience were the biggest barriers to wearing sensors. Wear time was valid on 93.9 % (ActiGraph), 100 % (GENEActiv), and 95.2 % (SenseWear) of eligible days. 61.9, 95.2, and 71.4 % of participants had seven valid days of data for the ActiGraph, GENEActiv, and SenseWear, respectively. Twenty-four hour monitoring over seven consecutive days is a feasible approach in middle-aged women. Researchers should consider participant acceptability and demand, in addition to validity and reliability, when choosing a wearable sensor. More research is needed across populations and study designs.

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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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
United States 1 <1%
Denmark 1 <1%
Brazil 1 <1%
Unknown 150 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Researcher 21 14%
Student > Master 18 12%
Student > Bachelor 17 11%
Unspecified 10 6%
Other 36 23%
Unknown 28 18%
Readers by discipline Count As %
Medicine and Dentistry 22 14%
Sports and Recreations 14 9%
Computer Science 11 7%
Unspecified 10 6%
Nursing and Health Professions 10 6%
Other 46 30%
Unknown 41 27%
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 25 September 2015.
All research outputs
#14,235,639
of 22,824,164 outputs
Outputs from BMC Women's Health
#1,097
of 1,815 outputs
Outputs of similar age
#135,298
of 263,155 outputs
Outputs of similar age from BMC Women's Health
#18
of 22 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,815 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 36th percentile – i.e., 36% 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 263,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.