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Showing 1 to 12 of 18 entries
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Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions.

Journal for the measurement of physical behaviour

Martinez J, Decker A, Cho CC, Doherty A, Swartz AM, Staudenmayer JW, Strath SJ.
PMID: 34337345
J Meas Phys Behav. 2021;4(1):47-52. doi: 10.1123/jmpb.2020-0038. Epub 2021 Feb 24.

PURPOSE: To assess the convergent validity of body worn wearable camera (WC) still-images (IMGs) for determining posture compared with activPAL (AP) classifications.METHODS: Participants (n=16, mean age 46.7±23.8yrs, 9F) wore an Autographer WC above the xyphoid process and an AP...

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Martinez J, Decker A, Cho CC, et al. Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions. J Meas Phys Behav. 2021;4(1):47-52doi: 10.1123/jmpb.2020-0038.
Martinez, J., Decker, A., Cho, C. C., Doherty, A., Swartz, A. M., Staudenmayer, J. W., & Strath, S. J. (2021). Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions. Journal for the measurement of physical behaviour, 4(1), 47-52. https://doi.org/10.1123/jmpb.2020-0038
Martinez, Julian, et al. "Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions." Journal for the measurement of physical behaviour vol. 4,1 (2021): 47-52. doi: https://doi.org/10.1123/jmpb.2020-0038
Martinez J, Decker A, Cho CC, Doherty A, Swartz AM, Staudenmayer JW, Strath SJ. Validation of Wearable Camera Still Images to Assess Posture in Free-Living Conditions. J Meas Phys Behav. 2021;4(1):47-52. doi: 10.1123/jmpb.2020-0038. Epub 2021 Feb 24. PMID: 34337345; PMCID: PMC8320753.
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Accelerometer Calibration: The Importance of Considering Functionality.

Journal for the measurement of physical behaviour

Strath SJ, Rowley TW, Cho CC, Hyngstrom A, Swartz AM, Keenan KG, Martinez J, Staudenmayer JW.
PMID: 34355136
J Meas Phys Behav. 2021;4(1):68-78. doi: 10.1123/jmpb.2020-0027. Epub 2021 Feb 25.

PURPOSE: To compare the accuracy and precision of a hip-worn accelerometer to predict energy cost during structured activities across motor performance and disease conditions.METHODS: 118 adults self-identifying as healthy (RESULTS: All activities' accelerometer counts per minute (CPM) were 29.5-72.6%...

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Strath SJ, Rowley TW, Cho CC, et al. Accelerometer Calibration: The Importance of Considering Functionality. J Meas Phys Behav. 2021;4(1):68-78doi: 10.1123/jmpb.2020-0027.
Strath, S. J., Rowley, T. W., Cho, C. C., Hyngstrom, A., Swartz, A. M., Keenan, K. G., Martinez, J., & Staudenmayer, J. W. (2021). Accelerometer Calibration: The Importance of Considering Functionality. Journal for the measurement of physical behaviour, 4(1), 68-78. https://doi.org/10.1123/jmpb.2020-0027
Strath, Scott J, et al. "Accelerometer Calibration: The Importance of Considering Functionality." Journal for the measurement of physical behaviour vol. 4,1 (2021): 68-78. doi: https://doi.org/10.1123/jmpb.2020-0027
Strath SJ, Rowley TW, Cho CC, Hyngstrom A, Swartz AM, Keenan KG, Martinez J, Staudenmayer JW. Accelerometer Calibration: The Importance of Considering Functionality. J Meas Phys Behav. 2021;4(1):68-78. doi: 10.1123/jmpb.2020-0027. Epub 2021 Feb 25. PMID: 34355136; PMCID: PMC8330493.
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Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults.

Journal for the measurement of physical behaviour

Carlson JA, Tuz-Zahra F, Bellettiere J, Ridgers ND, Steel C, Bejarano C, LaCroix AZ, Rosenberg DE, Greenwood-Hickman MA, Jankowska MM, Natarajan L.
PMID: 34447927
J Meas Phys Behav. 2021;4(2):151-162. doi: 10.1123/jmpb.2020-0045. Epub 2021 Apr 22.

BACKGROUND: The authors assessed agreement between participant diaries and two automated algorithms applied to activPAL (PAL Technologies Ltd, Glasgow, United Kingdom) data for classifying awake wear time in three age groups.METHODS: Study 1 involved 20 youth and 23 adults...

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Carlson JA, Tuz-Zahra F, Bellettiere J, et al. Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults. J Meas Phys Behav. 2021;4(2):151-162doi: 10.1123/jmpb.2020-0045.
Carlson, J. A., Tuz-Zahra, F., Bellettiere, J., Ridgers, N. D., Steel, C., Bejarano, C., LaCroix, A. Z., Rosenberg, D. E., Greenwood-Hickman, M. A., Jankowska, M. M., & Natarajan, L. (2021). Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults. Journal for the measurement of physical behaviour, 4(2), 151-162. https://doi.org/10.1123/jmpb.2020-0045
Carlson, Jordan A, et al. "Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults." Journal for the measurement of physical behaviour vol. 4,2 (2021): 151-162. doi: https://doi.org/10.1123/jmpb.2020-0045
Carlson JA, Tuz-Zahra F, Bellettiere J, Ridgers ND, Steel C, Bejarano C, LaCroix AZ, Rosenberg DE, Greenwood-Hickman MA, Jankowska MM, Natarajan L. Validity of Two Awake Wear-Time Classification Algorithms for activPAL in Youth, Adults, and Older Adults. J Meas Phys Behav. 2021;4(2):151-162. doi: 10.1123/jmpb.2020-0045. Epub 2021 Apr 22. PMID: 34447927; PMCID: PMC8386818.
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An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing.

Journal for the measurement of physical behaviour

John D, Tang Q, Albinali F, Intille S.
PMID: 34308270
J Meas Phys Behav. 2019 Dec;2(4):268-281. doi: 10.1123/jmpb.2018-0068.

BACKGROUND: Physical behavior researchers using motion sensors often use acceleration summaries to visualize, clean, and interpret data. Such output is dependent on device specifications (e.g., dynamic range, sampling rate) and/or are proprietary, which invalidate cross-study comparison of findings when...

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John D, Tang Q, Albinali F, et al. An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing. J Meas Phys Behav. 2019;2(4):268-281doi: 10.1123/jmpb.2018-0068.
John, D., Tang, Q., Albinali, F., & Intille, S. (2019). An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing. Journal for the measurement of physical behaviour, 2(4), 268-281. https://doi.org/10.1123/jmpb.2018-0068
John, Dinesh, et al. "An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing." Journal for the measurement of physical behaviour vol. 2,4 (2019): 268-281. doi: https://doi.org/10.1123/jmpb.2018-0068
John D, Tang Q, Albinali F, Intille S. An Open-Source Monitor-Independent Movement Summary for Accelerometer Data Processing. J Meas Phys Behav. 2019 Dec;2(4):268-281. doi: 10.1123/jmpb.2018-0068. PMID: 34308270; PMCID: PMC8301210.
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Infant Leg Activity Intensity Before and After Naps.

Journal for the measurement of physical behaviour

Trujillo-Priego IA, Zhou J, Werner IF, Deng W, Smith BA.
PMID: 34109304
J Meas Phys Behav. 2020 Jun;3(2):157-163. doi: 10.1123/jmpb.2019-0011.

Wearable sensors are being used to measure intensity of infant physical activity across full days. The variability of infant activity intensity within and across days is important to study given the potential impact of physical activity on developmental trajectories....

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Trujillo-Priego IA, Zhou J, Werner IF, et al. Infant Leg Activity Intensity Before and After Naps. J Meas Phys Behav. 2020;3(2):157-163doi: 10.1123/jmpb.2019-0011.
Trujillo-Priego, I. A., Zhou, J., Werner, I. F., Deng, W., & Smith, B. A. (2020). Infant Leg Activity Intensity Before and After Naps. Journal for the measurement of physical behaviour, 3(2), 157-163. https://doi.org/10.1123/jmpb.2019-0011
Trujillo-Priego, Ivan A, et al. "Infant Leg Activity Intensity Before and After Naps." Journal for the measurement of physical behaviour vol. 3,2 (2020): 157-163. doi: https://doi.org/10.1123/jmpb.2019-0011
Trujillo-Priego IA, Zhou J, Werner IF, Deng W, Smith BA. Infant Leg Activity Intensity Before and After Naps. J Meas Phys Behav. 2020 Jun;3(2):157-163. doi: 10.1123/jmpb.2019-0011. PMID: 34109304; PMCID: PMC8186238.
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Alternative Wear-time Estimation Methods Compared to Traditional Diary Logs for Wrist-Worn ActiGraph Accelerometers in Pregnant Women.

Journal for the measurement of physical behaviour

Ehrlich SF, Casteel AJ, Crouter SE, Hibbing PR, Hedderson MM, Brown SD, Galarce M, Coe DP, Bassett DR, Ferrara A.
PMID: 33997656
J Meas Phys Behav. 2020 Jun;3(2):110-117. doi: 10.1123/jmpb.2019-0049.

BACKGROUND: This study sought to compare three sensor-based wear-time estimation methods to conventional diaries for ActiGraph wGT3X-BT accelerometers worn on the non-dominant wrist in early pregnancy.METHODS: Pregnant women (n= 108) wore ActiGraph wGT3X-BT accelerometers for 7 days and recorded...

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Ehrlich SF, Casteel AJ, Crouter SE, et al. Alternative Wear-time Estimation Methods Compared to Traditional Diary Logs for Wrist-Worn ActiGraph Accelerometers in Pregnant Women. J Meas Phys Behav. 2020;3(2):110-117doi: 10.1123/jmpb.2019-0049.
Ehrlich, S. F., Casteel, A. J., Crouter, S. E., Hibbing, P. R., Hedderson, M. M., Brown, S. D., Galarce, M., Coe, D. P., Bassett, D. R., & Ferrara, A. (2020). Alternative Wear-time Estimation Methods Compared to Traditional Diary Logs for Wrist-Worn ActiGraph Accelerometers in Pregnant Women. Journal for the measurement of physical behaviour, 3(2), 110-117. https://doi.org/10.1123/jmpb.2019-0049
Ehrlich, Samantha F, et al. "Alternative Wear-time Estimation Methods Compared to Traditional Diary Logs for Wrist-Worn ActiGraph Accelerometers in Pregnant Women." Journal for the measurement of physical behaviour vol. 3,2 (2020): 110-117. doi: https://doi.org/10.1123/jmpb.2019-0049
Ehrlich SF, Casteel AJ, Crouter SE, Hibbing PR, Hedderson MM, Brown SD, Galarce M, Coe DP, Bassett DR, Ferrara A. Alternative Wear-time Estimation Methods Compared to Traditional Diary Logs for Wrist-Worn ActiGraph Accelerometers in Pregnant Women. J Meas Phys Behav. 2020 Jun;3(2):110-117. doi: 10.1123/jmpb.2019-0049. PMID: 33997656; PMCID: PMC8121263.
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Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health.

Journal for the measurement of physical behaviour

Bellettiere J, Tuz-Zahra F, Carlson JA, Ridgers ND, Liles S, Greenwood-Hickman MA, Walker RL, LaCroix AZ, Jankowska MM, Rosenberg DE, Natarajan L.
PMID: 34708190
J Meas Phys Behav. 2021 Mar;4(1):79-88. doi: 10.1123/jmpb.2020-0036. Epub 2021 Feb 16.

Little is known about how sedentary behaviour (SB) metrics derived from hip-worn and thigh-worn accelerometers agree for older adults. Thigh-worn activPAL micro monitors were concurrently worn with hip-worn ActiGraph GT3X+ accelerometers (with SB measured using the 100 count-per-minute (cpm)...

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Bellettiere J, Tuz-Zahra F, Carlson JA, et al. Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health. J Meas Phys Behav. 2021;4(1):79-88doi: 10.1123/jmpb.2020-0036.
Bellettiere, J., Tuz-Zahra, F., Carlson, J. A., Ridgers, N. D., Liles, S., Greenwood-Hickman, M. A., Walker, R. L., LaCroix, A. Z., Jankowska, M. M., Rosenberg, D. E., & Natarajan, L. (2021). Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health. Journal for the measurement of physical behaviour, 4(1), 79-88. https://doi.org/10.1123/jmpb.2020-0036
Bellettiere, John, et al. "Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health." Journal for the measurement of physical behaviour vol. 4,1 (2021): 79-88. doi: https://doi.org/10.1123/jmpb.2020-0036
Bellettiere J, Tuz-Zahra F, Carlson JA, Ridgers ND, Liles S, Greenwood-Hickman MA, Walker RL, LaCroix AZ, Jankowska MM, Rosenberg DE, Natarajan L. Agreement of sedentary behaviour metrics derived from hip-worn and thigh-worn accelerometers among older adults: with implications for studying physical and cognitive health. J Meas Phys Behav. 2021 Mar;4(1):79-88. doi: 10.1123/jmpb.2020-0036. Epub 2021 Feb 16. PMID: 34708190; PMCID: PMC8547742.
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Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns).

Journal for the measurement of physical behaviour

Dall PM, Skelton DA, Dontje ML, Coulter EH, Stewart S, Cox SR, Shaw RJ, Čukić I, Fitzsimons CF, Greig CA, Granat MH, Der G, Deary IJ, Chastin S.
PMID: 30159548
J Meas Phys Behav. 2018 Mar;1(1):26-31. doi: 10.1123/jmpb.2017-0004.

The Seniors USP study measured sedentary behaviour (activPAL3, 9 day wear) in older adults. The measurement protocol had three key characteristics: enabling 24-hour wear (monitor location, waterproofing); minimising data loss (reducing monitor failure, staff training, communication); and quality assurance...

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Dall PM, Skelton DA, Dontje ML, et al. Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns). J Meas Phys Behav. 2018;1(1):26-31doi: 10.1123/jmpb.2017-0004.
Dall, P. M., Skelton, D. A., Dontje, M. L., Coulter, E. H., Stewart, S., Cox, S. R., Shaw, R. J., Čukić, I., Fitzsimons, C. F., Greig, C. A., Granat, M. H., Der, G., Deary, I. J., & Chastin, S. (2018). Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns). Journal for the measurement of physical behaviour, 1(1), 26-31. https://doi.org/10.1123/jmpb.2017-0004
Dall, P M, et al. "Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns)." Journal for the measurement of physical behaviour vol. 1,1 (2018): 26-31. doi: https://doi.org/10.1123/jmpb.2017-0004
Dall PM, Skelton DA, Dontje ML, Coulter EH, Stewart S, Cox SR, Shaw RJ, Čukić I, Fitzsimons CF, Greig CA, Granat MH, Der G, Deary IJ, Chastin S. Characteristics of a protocol to collect objective physical activity/sedentary behaviour data in a large study: Seniors USP (understanding sedentary patterns). J Meas Phys Behav. 2018 Mar;1(1):26-31. doi: 10.1123/jmpb.2017-0004. PMID: 30159548; PMCID: PMC6110380.
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Use of Objective Measures to Estimate Sedentary Time in Youth.

Journal for the measurement of physical behaviour

Crouter SE, Hibbing PR, LaMunion SR.
PMID: 32705076
J Meas Phys Behav. 2018 Sep;1(3):136-142. doi: 10.1123/jmpb.2018-0007.

The purpose of the study was to conduct a comprehensive evaluation of the ActiGraph GT3X+ (AG) and activPAL (AP) for assessing time spent in sedentary behaviors (SB) in youth using structured and free-living activities. Forty-four participants (mean±SD; age, 12.7±0.8...

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Crouter SE, Hibbing PR, LaMunion SR. Use of Objective Measures to Estimate Sedentary Time in Youth. J Meas Phys Behav. 2018;1(3):136-142doi: 10.1123/jmpb.2018-0007.
Crouter, S. E., Hibbing, P. R., & LaMunion, S. R. (2018). Use of Objective Measures to Estimate Sedentary Time in Youth. Journal for the measurement of physical behaviour, 1(3), 136-142. https://doi.org/10.1123/jmpb.2018-0007
Crouter, Scott E, et al. "Use of Objective Measures to Estimate Sedentary Time in Youth." Journal for the measurement of physical behaviour vol. 1,3 (2018): 136-142. doi: https://doi.org/10.1123/jmpb.2018-0007
Crouter SE, Hibbing PR, LaMunion SR. Use of Objective Measures to Estimate Sedentary Time in Youth. J Meas Phys Behav. 2018 Sep;1(3):136-142. doi: 10.1123/jmpb.2018-0007. PMID: 32705076; PMCID: PMC7377317.
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Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study.

Journal for the measurement of physical behaviour

Lee IM, Shiroma EJ, Evenson KR, Kamada M, LaCroix AZ, Buring JE.
PMID: 30666321
J Meas Phys Behav. 2018 Jun;1(2):60-69. doi: 10.1123/jmpb.2018-0005.

In recent years, it has become feasible to use devices for assessing physical activity and sedentary behavior among large numbers of participants in epidemiologic studies, allowing for more precise assessments of these behaviors and quantification of their associations with...

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Lee IM, Shiroma EJ, Evenson KR, et al. Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study. J Meas Phys Behav. 2018;1(2):60-69doi: 10.1123/jmpb.2018-0005.
Lee, I. M., Shiroma, E. J., Evenson, K. R., Kamada, M., LaCroix, A. Z., & Buring, J. E. (2018). Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study. Journal for the measurement of physical behaviour, 1(2), 60-69. https://doi.org/10.1123/jmpb.2018-0005
Lee, I-Min, et al. "Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study." Journal for the measurement of physical behaviour vol. 1,2 (2018): 60-69. doi: https://doi.org/10.1123/jmpb.2018-0005
Lee IM, Shiroma EJ, Evenson KR, Kamada M, LaCroix AZ, Buring JE. Using Devices to Assess Physical Activity and Sedentary Behavior in a Large Cohort Study, the Women's Health Study. J Meas Phys Behav. 2018 Jun;1(2):60-69. doi: 10.1123/jmpb.2018-0005. PMID: 30666321; PMCID: PMC6338453.
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Review of Validity and Reliability of Garmin Activity Trackers.

Journal for the measurement of physical behaviour

Evenson KR, Spade CL.
PMID: 32601613
J Meas Phys Behav. 2020 Jun;3(2):170-185. doi: 10.1123/jmpb.2019-0035.

PURPOSE: A systematic review to summarize the validity and reliability of steps, distance, energy expenditure, speed, elevation, heart rate, and sleep assessed by Garmin activity trackers.METHODS: Searches included studies published through December 31, 2018. Correlation coefficients (CC) were assessed...

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Evenson KR, Spade CL. Review of Validity and Reliability of Garmin Activity Trackers. J Meas Phys Behav. 2020;3(2):170-185doi: 10.1123/jmpb.2019-0035.
Evenson, K. R., & Spade, C. L. (2020). Review of Validity and Reliability of Garmin Activity Trackers. Journal for the measurement of physical behaviour, 3(2), 170-185. https://doi.org/10.1123/jmpb.2019-0035
Evenson, Kelly R, and Spade, Camden L. "Review of Validity and Reliability of Garmin Activity Trackers." Journal for the measurement of physical behaviour vol. 3,2 (2020): 170-185. doi: https://doi.org/10.1123/jmpb.2019-0035
Evenson KR, Spade CL. Review of Validity and Reliability of Garmin Activity Trackers. J Meas Phys Behav. 2020 Jun;3(2):170-185. doi: 10.1123/jmpb.2019-0035. PMID: 32601613; PMCID: PMC7323940.
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Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images.

Journal for the measurement of physical behaviour

Carlson JA, Hipp JA, Kerr J, Horowitz TS, Berrigan D.
PMID: 31263802
J Meas Phys Behav. 2018 Sep;1(3):143-154. doi: 10.1123/jmpb.2018-0021.

OBJECTIVES: To document challenges to and benefits from research involving the use of images by capturing examples of such research to assess physical activity- or nutrition-related behaviors and/or environments.METHODS: Researchers (i.e., key informants) using image capture in their research...

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Carlson JA, Hipp JA, Kerr J, et al. Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images. J Meas Phys Behav. 2018;1(3):143-154doi: 10.1123/jmpb.2018-0021.
Carlson, J. A., Hipp, J. A., Kerr, J., Horowitz, T. S., & Berrigan, D. (2018). Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images. Journal for the measurement of physical behaviour, 1(3), 143-154. https://doi.org/10.1123/jmpb.2018-0021
Carlson, Jordan A, et al. "Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images." Journal for the measurement of physical behaviour vol. 1,3 (2018): 143-154. doi: https://doi.org/10.1123/jmpb.2018-0021
Carlson JA, Hipp JA, Kerr J, Horowitz TS, Berrigan D. Unique Views on Obesity-Related Behaviors and Environments: Research Using Still and Video Images. J Meas Phys Behav. 2018 Sep;1(3):143-154. doi: 10.1123/jmpb.2018-0021. PMID: 31263802; PMCID: PMC6602079.
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Showing 1 to 12 of 18 entries