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ActiGraph llc model 7164 accelerometer
Model 7164 Accelerometer, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/7164+accelerometer/actigraph+gt3x/pmc12255258-108-23-23
Average 90 stars, based on 1 article reviews
model 7164 accelerometer - by Bioz Stars, 2026-10
90/100 stars

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Article Title: Experimentally increasing sedentary behavior results in decreased life satisfaction
Article Snippet: The GT9X accelerometer by ActiGraph is the newest model of the 7164 ActiGraph accelerometer used for comparison in the 2002 study.

Article Title: Influence of the built environment on pedestrian route choices of adolescent girls
Article Snippet: Previous studies showed the ActiGraph to be reliable and able to detect differing levels of physical activity intensity ( Metcalf, Curnow, Evans, Voss, & Wilkin, 2002 ; Welk, Schaben, & Morrow, 2004 ).

Activity Assay:

Article Title: Peak stepping cadence in free-living adults: 2005-2006 NHANES.
Article Snippet: Background: Analysis of the 2005–2006 National Health and Nutrition Examination Survey (NHANES) accelerometer data provides the descriptive epidemiology of peak 30-minute cadence (defined as the average steps/min recorded for the 30 highest, but not necessarily consecutive, minutes in a day) and peak 1-minute cadence (defined as the steps/min recorded for the highest single minute in a day) by sex, age, and body mass index (BMI).. Methods: Minute-by-minute step data were rank ordered each day to identify the peak 30-minute and 1-minute cadences for 3522 adults (20+ years of age) with complete sex, age, and BMI data and at least 1 valid day (ie, 10/24 hours of accelerometer wear) of accelerometer data.. Peak values were averaged across days within participants by sex, age, and BMI-defined categories.

Article Title: Métodos de avaliação de atividade física: uma revisão sistemática focada em idosos
Article Snippet: .. Trial Brand Type Positioning Days Removal Data considered Harris et al.15 GT1M Actigraph (Manu-facturing Technology Inc) Uniaxial On the hip, attached by a belt 7 days Showering/ swimming ≥ 5 days Copeland and Esliger26 Actigraph model 7164 accelerometer Uniaxial Two side by side, positioned on the right hip using an adjustable nylon belt 7 days Bedtime 10h/day for at least 5 to 7 days Colbert et al.16 GT1M uniaxial accelerometer (Actigraph, LLC, Pensacola, FL) Uniaxial Right side of waist using an elastic strap 7 days - Any day of <10h of usage was excluded Banda et al.17 Actical accelerometer Uniaxial Attached to a neoprene belt that allowed easy and safe positioning of the device on the right hip 7 days - ≥4 days of valid use with ≥12 h of time of valid use Yasunaga et al.19 Electronic accelerometer (modified Kenz Lifecorder, Suzuken Co., Ltd., Nagoya, Aichi, Japan) Attached to a belt on either left or right side of the body 1 month <1.5 MET were excluded McMurdo et al.21 RT3 (RT3 Accelerometry Research Tracker, Stayhealthy Inc., Monrovia, CA) Triaxial Device used on waistband 14 days - The first set of 24-hour data was discarded and days lost were excluded from the analysis Koizumi et al.27 Kenz Lifecorder accelerometer (ACCEL; Suzuken Company, Nagoya, Japan) Uniaxial Able to use the device at waist level 7 days - Minimum of 5 days Morie et al.28 Triaxial accelerometers (Actigraph, Pensacola, FL) Triaxial On an elastic belt on left or right hip 7 days - ≥ 5 days Gill et al.20 Actigraph GT1M monitor (Actigraph, LLC, Fort Walton Beach, FL) Uniaxial Attached to an elastic band on one side of subjects’ body 7 days Activity in water (showering) and at bedtime ≥ 5 days of valid data, of which at least one should be a day on a weekend. .. Harris et al.29 GT1M Actigraph (Acti-graph GT1M, Fl, USA) Uniaxial Worn around the hip on a belt 7 days Showering/ Swimming ≥ 5 days Rev Bras Cineantropom Desempenho Hum 2013, 15(2):256-265 261

Article Title: Accumulated Short Bouts of Physical Activity Are Associated With Reduced Premature All-Cause Mortality: Implications for Physician Promotion of Physical Activity and Revision of Current US Government Physical Activity Guidelines.
Article Snippet: .. Physical activity was assessed using an ActiGraph model 7164 accelerometer; activity counts per minute of 2020ormoredefinedMVPA,with those having at least 4 days of 10 h/d or more of monitoring included in the analyses. ..

Modification:

Article Title: Métodos de avaliação de atividade física: uma revisão sistemática focada em idosos
Article Snippet: .. Trial Brand Type Positioning Days Removal Data considered Harris et al.15 GT1M Actigraph (Manu-facturing Technology Inc) Uniaxial On the hip, attached by a belt 7 days Showering/ swimming ≥ 5 days Copeland and Esliger26 Actigraph model 7164 accelerometer Uniaxial Two side by side, positioned on the right hip using an adjustable nylon belt 7 days Bedtime 10h/day for at least 5 to 7 days Colbert et al.16 GT1M uniaxial accelerometer (Actigraph, LLC, Pensacola, FL) Uniaxial Right side of waist using an elastic strap 7 days - Any day of <10h of usage was excluded Banda et al.17 Actical accelerometer Uniaxial Attached to a neoprene belt that allowed easy and safe positioning of the device on the right hip 7 days - ≥4 days of valid use with ≥12 h of time of valid use Yasunaga et al.19 Electronic accelerometer (modified Kenz Lifecorder, Suzuken Co., Ltd., Nagoya, Aichi, Japan) Attached to a belt on either left or right side of the body 1 month <1.5 MET were excluded McMurdo et al.21 RT3 (RT3 Accelerometry Research Tracker, Stayhealthy Inc., Monrovia, CA) Triaxial Device used on waistband 14 days - The first set of 24-hour data was discarded and days lost were excluded from the analysis Koizumi et al.27 Kenz Lifecorder accelerometer (ACCEL; Suzuken Company, Nagoya, Japan) Uniaxial Able to use the device at waist level 7 days - Minimum of 5 days Morie et al.28 Triaxial accelerometers (Actigraph, Pensacola, FL) Triaxial On an elastic belt on left or right hip 7 days - ≥ 5 days Gill et al.20 Actigraph GT1M monitor (Actigraph, LLC, Fort Walton Beach, FL) Uniaxial Attached to an elastic band on one side of subjects’ body 7 days Activity in water (showering) and at bedtime ≥ 5 days of valid data, of which at least one should be a day on a weekend. .. Harris et al.29 GT1M Actigraph (Acti-graph GT1M, Fl, USA) Uniaxial Worn around the hip on a belt 7 days Showering/ Swimming ≥ 5 days Rev Bras Cineantropom Desempenho Hum 2013, 15(2):256-265 261

Control:

Article Title: Waist-Worn Actigraphy: Population-Referenced Percentiles for Total Activity Counts in U.S. Adults.
Article Snippet: Background: Accelerometer-derived total activity count is a measure of total physical activity (PA) volume.. The purpose of this study was to develop ageand gender-specific percentiles for daily total activity counts (TAC), minutes of moderate-to-vigorous physical activity (MVPA), and minutes of light physical activity (LPA) in U.S. adults.. Methods: Waist-worn accelerometer data from the 2003–2006 National Health and Nutrition Examination Survey were used for this analysis.

Comparison:

Article Title: Physical activity and relationship to physical function, quality of life, and cognitive function in older patients with acute decompensated heart failure.
Article Snippet: .. 37 National health and nutrition examination survey: an external comparison cohort Accelerometry was collected as part of the National Health and Nutrition Examination Survey (NHANES), a US population-based cohort, in 2003-2004 and 2005- 2006 using the ActiGraph model 7164 accelerometer. ..



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Abbreviations used in this figure are as follows: raw data (raw), simple standardization (standard), quantile normalization (quantile), longitudinal ComBat (L-ComBat), proposed integration methods (INTACT and INTACT 0 ), <t>NHANES</t> 2003–2004 data (raw1), and NHANES 2013–2014 data (raw2). (A) Heat map of V ar 1 − V ar 2 . (B) Detection of domain effects. Left: box plots of AUC values; Right: box plots of ARI values. (C) Empirical power for testing the null hypothesis of no age effect, based on resampling 120 subjects per domain. (D) Hazard ratios and corresponding Bonferroni-corrected confidence intervals from Cox model analysis. The black solid line indicates a hazard ratio of 1. (E) Box plots of absolute mean and variance differences in summary statistics between two domains.
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Abbreviations used in this figure are as follows: raw data (raw), simple standardization (standard), quantile normalization (quantile), longitudinal ComBat (L-ComBat), proposed integration methods (INTACT and INTACT 0 ), <t>NHANES</t> 2003–2004 data (raw1), and NHANES 2013–2014 data (raw2). (A) Heat map of V ar 1 − V ar 2 . (B) Detection of domain effects. Left: box plots of AUC values; Right: box plots of ARI values. (C) Empirical power for testing the null hypothesis of no age effect, based on resampling 120 subjects per domain. (D) Hazard ratios and corresponding Bonferroni-corrected confidence intervals from Cox model analysis. The black solid line indicates a hazard ratio of 1. (E) Box plots of absolute mean and variance differences in summary statistics between two domains.
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Abbreviations used in this figure are as follows: raw data (raw), simple standardization (standard), quantile normalization (quantile), longitudinal ComBat (L-ComBat), proposed integration methods (INTACT and INTACT 0 ), <t>NHANES</t> 2003–2004 data (raw1), and NHANES 2013–2014 data (raw2). (A) Heat map of V ar 1 − V ar 2 . (B) Detection of domain effects. Left: box plots of AUC values; Right: box plots of ARI values. (C) Empirical power for testing the null hypothesis of no age effect, based on resampling 120 subjects per domain. (D) Hazard ratios and corresponding Bonferroni-corrected confidence intervals from Cox model analysis. The black solid line indicates a hazard ratio of 1. (E) Box plots of absolute mean and variance differences in summary statistics between two domains.
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Abbreviations used in this figure are as follows: raw data (raw), simple standardization (standard), quantile normalization (quantile), longitudinal ComBat (L-ComBat), proposed integration methods (INTACT and INTACT 0 ), NHANES 2003–2004 data (raw1), and NHANES 2013–2014 data (raw2). (A) Heat map of V ar 1 − V ar 2 . (B) Detection of domain effects. Left: box plots of AUC values; Right: box plots of ARI values. (C) Empirical power for testing the null hypothesis of no age effect, based on resampling 120 subjects per domain. (D) Hazard ratios and corresponding Bonferroni-corrected confidence intervals from Cox model analysis. The black solid line indicates a hazard ratio of 1. (E) Box plots of absolute mean and variance differences in summary statistics between two domains.

Journal: bioRxiv

Article Title: INTACT: A method for integration of longitudinal physical activity data from multiple sources

doi: 10.1101/2025.03.03.641136

Figure Lengend Snippet: Abbreviations used in this figure are as follows: raw data (raw), simple standardization (standard), quantile normalization (quantile), longitudinal ComBat (L-ComBat), proposed integration methods (INTACT and INTACT 0 ), NHANES 2003–2004 data (raw1), and NHANES 2013–2014 data (raw2). (A) Heat map of V ar 1 − V ar 2 . (B) Detection of domain effects. Left: box plots of AUC values; Right: box plots of ARI values. (C) Empirical power for testing the null hypothesis of no age effect, based on resampling 120 subjects per domain. (D) Hazard ratios and corresponding Bonferroni-corrected confidence intervals from Cox model analysis. The black solid line indicates a hazard ratio of 1. (E) Box plots of absolute mean and variance differences in summary statistics between two domains.

Article Snippet: The NHANES 2003–2004 dataset was collected using the Actigraph AM-7164, a hip-worn accelerometer, while the NHANES 2013–2014 dataset used the Actigraph GT3X+, a wrist-worn accelerometer.

Techniques: