Journal: PLoS ONE

Article Title: Criterion validity of the ActiGraph and activPAL in classifying posture and motion in office-based workers: A cross-sectional laboratory study

doi: 10.1371/journal.pone.0252659

Figure Lengend Snippet: Number (%) of tasks correctly classified by the activPAL and ActiGraph in repeated measurements.

Article Snippet: Five participants (25%) felt the elastic belt from the ActiGraph disturbing and one male participant felt it unpleasant to install the activPAL monitor on his hairy legs with the adhesive tape.

Techniques:

Journal: PLoS ONE

Article Title: Criterion validity of the ActiGraph and activPAL in classifying posture and motion in office-based workers: A cross-sectional laboratory study

doi: 10.1371/journal.pone.0252659

Figure Lengend Snippet: Percentages of correctly classified tasks for the activPAL and ActiGraph considering all individual measurements (2A) and percentages of correctly classified tasks during both experimental visits, i.e., on repeated occasions (2B). Individual tasks were clustered into sitting (N = 11), standing (N = 5), stepping (N = 5) and postural transitions (N = 3).

Article Snippet: Five participants (25%) felt the elastic belt from the ActiGraph disturbing and one male participant felt it unpleasant to install the activPAL monitor on his hairy legs with the adhesive tape.

Techniques:

Journal: PLoS ONE

Article Title: Criterion validity of the ActiGraph and activPAL in classifying posture and motion in office-based workers: A cross-sectional laboratory study

doi: 10.1371/journal.pone.0252659

Figure Lengend Snippet: Angle measurements for the ActiGraph (3A) and activPAL (3B) using a protractor. The picture in the middle shows the starting position with the devices placed parallel to the floor and the protractor scale reading 0°, representing sitting. The areas in white and grey represent the coded position and angle ranges relative to the horizontal. White = sitting, dark grey = standing, light grey = postural transition (sitting to standing or vice versa). The arrows show the direction in which the devices were moved. The double arrow in 3A shows that the coded position was independent from the direction in which the monitor was moved. The two arrows in 3B highlight differences in the coded posture and postural transition, depending in which direction the monitor was moved.

Article Snippet: Five participants (25%) felt the elastic belt from the ActiGraph disturbing and one male participant felt it unpleasant to install the activPAL monitor on his hairy legs with the adhesive tape.

Techniques:

Journal: Journal for the measurement of physical behaviour

Article Title: Concurrent Agreement Between ActiGraph and activPAL for Measuring Physical Activity in Pregnant Women and Office Workers

doi: 10.1123/jmpb.2021-0050

Figure Lengend Snippet: Summary of MVPA from GT3X and MET-based MVPA and Step-based MVPA minutes from activPAL

Article Snippet: Open in a separate window Figure 1 — Combined sample Bland–Altman plots of agreement between activPAL MET-based MVPA minutes and ActiGraph GT3X MVPA Solid line represents mean difference (GT3X-AP) in min/day and dotted lines represent the upper and lower limits of agreement.

Techniques:

Journal: Journal for the measurement of physical behaviour

Article Title: Concurrent Agreement Between ActiGraph and activPAL for Measuring Physical Activity in Pregnant Women and Office Workers

doi: 10.1123/jmpb.2021-0050

Figure Lengend Snippet: ICC’s between minutes of GT3X MVPA with activPAL3 micro MET-based MVPA across Three Epoch Lengths

Article Snippet: Open in a separate window Figure 1 — Combined sample Bland–Altman plots of agreement between activPAL MET-based MVPA minutes and ActiGraph GT3X MVPA Solid line represents mean difference (GT3X-AP) in min/day and dotted lines represent the upper and lower limits of agreement.

Techniques:

Journal: Journal for the measurement of physical behaviour

Article Title: Concurrent Agreement Between ActiGraph and activPAL for Measuring Physical Activity in Pregnant Women and Office Workers

doi: 10.1123/jmpb.2021-0050

Figure Lengend Snippet: ICC’s between minutes of GT3X MVPA with activPAL3 micro step-based MVPA across three epochs lengths

Article Snippet: Open in a separate window Figure 1 — Combined sample Bland–Altman plots of agreement between activPAL MET-based MVPA minutes and ActiGraph GT3X MVPA Solid line represents mean difference (GT3X-AP) in min/day and dotted lines represent the upper and lower limits of agreement.

Techniques:

Journal: Journal of sports sciences

Article Title: Day-level sedentary pattern estimates derived from hip-worn accelerometer cut-points in 8-12 year olds: Do they reflect postural transitions?

doi: 10.1080/02640414.2019.1605646

Figure Lengend Snippet: Mean differences in sedentary pattern variables between activPAL and the 15-second epoch ActiGraph accelerometer processing methods (N = 902 days from 195 children)

Article Snippet: This approach, which has been previously used ( Kerr et al., 2018 ), was used to infer activPAL non-wear time based on the ActiGraph data, because there is currently no consensus on identifying non-wear from activPAL data.

Techniques: Comparison

Journal: Journal of sports sciences

Article Title: Day-level sedentary pattern estimates derived from hip-worn accelerometer cut-points in 8-12 year olds: Do they reflect postural transitions?

doi: 10.1080/02640414.2019.1605646

Figure Lengend Snippet: Mean differences in sedentary pattern variables between activPAL and the 60-second epoch ActiGraph processing methods (N = 902 days from 195 children)

Article Snippet: This approach, which has been previously used ( Kerr et al., 2018 ), was used to infer activPAL non-wear time based on the ActiGraph data, because there is currently no consensus on identifying non-wear from activPAL data.

Techniques: Comparison

Journal: Journal of sports sciences

Article Title: Day-level sedentary pattern estimates derived from hip-worn accelerometer cut-points in 8-12 year olds: Do they reflect postural transitions?

doi: 10.1080/02640414.2019.1605646

Figure Lengend Snippet: a. Agreement plots for sedentary pattern variables between activPAL and ActiGraph 100 counts per 60-seconds cut-point (N = 899 days from 195 children)

Article Snippet: This approach, which has been previously used ( Kerr et al., 2018 ), was used to infer activPAL non-wear time based on the ActiGraph data, because there is currently no consensus on identifying non-wear from activPAL data.

Techniques:

Journal: Journal of sports sciences

Article Title: Day-level sedentary pattern estimates derived from hip-worn accelerometer cut-points in 8-12 year olds: Do they reflect postural transitions?

doi: 10.1080/02640414.2019.1605646

Figure Lengend Snippet: a. Agreement plots for sedentary pattern variables between activPAL and ActiGraph 300 counts per 60-seconds cut-point (N = 899 days from 195 children)

Article Snippet: This approach, which has been previously used ( Kerr et al., 2018 ), was used to infer activPAL non-wear time based on the ActiGraph data, because there is currently no consensus on identifying non-wear from activPAL data.

Techniques:

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Illustrative figure of a participant wearing the activPal on the right thigh and the ActiGraph GT3X on a belt around the waist. For the measurement, the activPal was packed waterproof and covered with an adhesive patch.

Article Snippet: POPAI classified each activPal sitting and standing event into inactive or active using the ActiGraph counts.

Techniques: Adhesive

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman comparison of daily sedentary time. Average sedentary time for each method with activPal and ActiGraph bias and limit of agreement (LoA), indicated in % of waking hours. 100% equals 15.0 h, n = 100.

Article Snippet: POPAI classified each activPal sitting and standing event into inactive or active using the ActiGraph counts.

Techniques: Comparison

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman plots for total and prolonged sedentary time. Data presented in % of waking hours (100% equals 15.0 h, n = 100). Indicated is the bias (bold line) and 95% limit of agreement (thin lines), both with 95% confidence interval (in grey). Note that the activPal y -axis ranges up to 50% and the ActiGraph y -axis up to 25% of waking hours.

Article Snippet: POPAI classified each activPal sitting and standing event into inactive or active using the ActiGraph counts.

Techniques:

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman comparison of the sedentary accumulation pattern. Sedentary accumulation pattern for each method with activPal and ActiGraph bias and limit of agreement (LoA), n = 100.

Article Snippet: POPAI classified each activPal sitting and standing event into inactive or active using the ActiGraph counts.

Techniques: Comparison

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Illustrative figure of a participant wearing the activPal on the right thigh and the ActiGraph GT3X on a belt around the waist. For the measurement, the activPal was packed waterproof and covered with an adhesive patch.

Article Snippet: The combined posture and physical activity analysis started with the activPal event file, and classified each minute of an event into the corresponding activity level using the time-matched ActiGraph 1-s counts ( ).

Techniques: Adhesive

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman comparison of daily sedentary time. Average sedentary time for each method with activPal and ActiGraph bias and limit of agreement (LoA), indicated in % of waking hours. 100% equals 15.0 h, n = 100.

Article Snippet: The combined posture and physical activity analysis started with the activPal event file, and classified each minute of an event into the corresponding activity level using the time-matched ActiGraph 1-s counts ( ).

Techniques: Comparison

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman plots for total and prolonged sedentary time. Data presented in % of waking hours (100% equals 15.0 h, n = 100). Indicated is the bias (bold line) and 95% limit of agreement (thin lines), both with 95% confidence interval (in grey). Note that the activPal y -axis ranges up to 50% and the ActiGraph y -axis up to 25% of waking hours.

Article Snippet: The combined posture and physical activity analysis started with the activPal event file, and classified each minute of an event into the corresponding activity level using the time-matched ActiGraph 1-s counts ( ).

Techniques:

Journal: International Journal of Environmental Research and Public Health

Article Title: Is Sitting Always Inactive and Standing Always Active? A Simultaneous Free-Living activPal and ActiGraph Analysis

doi: 10.3390/ijerph17238864

Figure Lengend Snippet: Bland-Altman comparison of the sedentary accumulation pattern. Sedentary accumulation pattern for each method with activPal and ActiGraph bias and limit of agreement (LoA), n = 100.

Article Snippet: The combined posture and physical activity analysis started with the activPal event file, and classified each minute of an event into the corresponding activity level using the time-matched ActiGraph 1-s counts ( ).

Techniques: Comparison