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How Accurate and Precise Can We Measure the Posture and the Energy Expenditure Component of Sedentary Behaviour with One Sensor?

Kuster, Roman P (author)
Karolinska Institutet,Karolinska Institutet, Stockholm, Sweden
Grooten, Wilhelmus J A (author)
Karolinska Institutet,Karolinska Institutet, Stockholm, Sweden
Blom, Victoria (author)
Gymnastik- och idrottshögskolan,Institutionen för fysisk aktivitet och hälsa,Karolinska Institutet, Stockholm, Sweden,Fysisk aktivitet och hjärnhälsa
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Baumgartner, Daniel (author)
ZHAW Zurich University of Applied Sciences, Winterthur, Switzerland
Hagströmer, Maria (author)
Karolinska Institutet,Karolinska Institutet, Stockholm, Sweden
Ekblom, Örjan, 1971- (author)
Gymnastik- och idrottshögskolan,Institutionen för fysisk aktivitet och hälsa,Fysisk aktivitet och hjärnhälsa
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 (creator_code:org_t)
2021-05-27
2021
English.
In: International Journal of Environmental Research and Public Health. - : MDPI. - 1661-7827 .- 1660-4601. ; 18:11
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Sedentary behaviour is an emergent public health topic, but there is still no method to simultaneously measure both components of sedentary behaviour-posture and energy expenditure-with one sensor. This study investigated the accuracy and precision of measuring sedentary time when combining the proprietary processing of a posture sensor (activPAL) with a new energy expenditure algorithm and the proprietary processing of a movement sensor (ActiGraph) with a published posture algorithm. One hundred office workers wore both sensors for an average of 7 days. The activPAL algorithm development used 38 and the subsequent independent method comparison 62 participants. The single sensor sedentary estimates were compared with Bland-Atman statistics to the Posture and Physical Activity Index, a combined measurement with both sensors. All single-sensor methods overestimated sedentary time. However, adding the algorithms reduced the overestimation from 129 to 21 (activPAL) and from 84 to 7 min a day (ActiGraph), with far narrower 95% limits of agreements. Thus, combining the proprietary data with the algorithms is an easy way to increase the accuracy and precision of the single sensor sedentary estimates and leads to sedentary estimates that are more precise at the individual level than those of the proprietary processing are at the group level.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Idrottsvetenskap (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Sport and Fitness Sciences (hsv//eng)

Keyword

ActiGraph
Posture and Physical Activity Index (POPAI)
activPAL
calibration
free-living behaviour
machine learning
objective measurement
office worker
physical activity
validation
Medicin/Teknik
Medicine/Technology

Publication and Content Type

ref (subject category)
art (subject category)

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