Assessing the validity and reliability and determining cut-points of the Actiwatch 2 in measuring physical activity

Kemp, Chadley; Pienaar, Paula R; Henst, Rob H P; Roden, Laura C.; Kolbe-Alexander, Tracy; Rae, Dale E.

doi:10.1088/1361-6579/aba80f

Cited by 9 publications

(12 citation statements)

References 25 publications

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“…Although no well-established cut-point exists for Actiwatch measurement of physical activity intensity in people with COPD, a cut-point of 256 cpm has been established for sedentary behavior in healthy adults. 44 In this study, the mean cpm value for all subjects was 246 ( SD = 87.6), indicating sedentary behavior. This result suggests that people with COPD and insomnia have low levels of physical activity, or exhibit sedentary behavior, regardless of their class membership.…”

Section: Discussionmentioning

confidence: 51%

Symptom Cluster Profiles in Adults with Chronic Obstructive Pulmonary Disease and Insomnia

et al. 2023

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Background: People with chronic obstructive pulmonary disease (COPD) and insomnia may experience multiple symptoms that can affect physical function, but little research has focused on symptom clusters in this population. Objectives: This study aimed to identify subgroups of people with COPD and insomnia based on a pre-specified symptom cluster and determine whether physical function differed in the subgroups. Methods: This secondary data analysis included 102 people with insomnia and COPD. Latent profile analysis classified subgroups of individuals sharing similar patterns of five symptoms: insomnia, dyspnea, fatigue, anxiety, and depression. Multinomial logistic regression and multiple regression determined factors associated with the subgroups and whether physical function differed among them. Results: Three groups of participants were identified based on the severity of all five symptoms: low (Class 1), intermediate (Class 2), and high (Class 3). Compared to Class 1, Class 3 showed lower self-efficacy for sleep and for COPD management and more dysfunctional beliefs and attitudes about sleep. Class 3 showed more dysfunctional beliefs and attitudes about sleep than Class 2. Class 1 showed significantly better physical function than Classes 2 and 3. Conclusions: Self-efficacy for sleep and for COPD management and dysfunctional beliefs and attitudes about sleep were associated with class membership. As physical function differed among subgroups, interventions to improve self-efficacy for sleep and for COPD management and minimize dysfunctional beliefs and attitudes about sleep may reduce symptom cluster severity, in turn enhancing physical function.

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Section: Discussionmentioning

confidence: 51%

Symptom Cluster Profiles in Adults with Chronic Obstructive Pulmonary Disease and Insomnia

et al. 2023

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“…The studies included in the analysis achieved scores on the Downs and Black checklist that ranged from 10 to 14, with an average score of 11.35. Two articles were assessed as high quality [32,45], whereas the remaining studies were categorized as medium quality [28][29][30][31][33][34][35][36][37][38][39][40][41][42][43][44]46,47] (Additional File S2).…”

Section: Methodological Qualitymentioning

confidence: 99%

“…The current study conducted a comprehensive analysis of 20 scholarly articles, encompassing a participant cohort of 1247 individuals. Among the studies included in this analysis, a total of 16 studies [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43] diligently provided information on the average age of the participants. The mean age, calculated meticulously across the amalgamated studies, was determined to be 27.68 ± 17.99 years.…”

Section: General Characteristics Of the Studiesmentioning

confidence: 99%

“…The mean age, calculated meticulously across the amalgamated studies, was determined to be 27.68 ± 17.99 years. Furthermore, thirteen studies [28][29][30][31][32][33][34][35]37,38,40,42,43] provided valuable insights into the body mass index (BMI) of 432 participants. The mean body mass index (BMI) was accurately calculated and found to be 23.05 ± 0.22 kg/m 2 (refer to Table 3).…”

Section: General Characteristics Of the Studiesmentioning

confidence: 99%

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Validity of Actigraph for Measuring Energy Expenditure in Healthy Adults: A Systematic Review and Meta-Analysis

Wu,

Yu,

Tai

et al. 2023

Sensors

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Purpose: The objective of this systematic review and meta-analysis was to assess the validity of the Actigraph triaxial accelerometer device in measuring physical activity energy expenditure (PAEE) in healthy adults, with indirect calorimetry (IC) serving as the validity criterion. Methods: A comprehensive search was conducted using the PubMed, Web of Science, and sportdiscuss databases, in addition to manual searches for supplementary sources. Search strategies were employed that involved conducting single keyword searches using the terms “gt3x” and “Actigraph gt3x”. The literature search encompassed the timeframe spanning from 1 January 2010 to 1 March 2023. The methodological quality of the studies included in the analysis was evaluated using both the Downs and Black checklist and the Consensus-Based Criteria for Selection of Measurement Instruments (COSMIN) checklist. The meta-analysis was conducted using the Review Manager 5.4 software. The standardized mean difference (SMD) was calculated and expressed as a 95% confidence interval (CI). The significance level was set at α = 0.05. A systematic assessment of the Actigraph’s performance was conducted through the descriptive analysis of computed effect sizes. Results: A total of 4738 articles were retrieved from the initial search. After eliminating duplicate articles and excluding those deemed irrelevant, a comprehensive analysis was conducted on a total of 20 studies, encompassing a combined sample size of 1247 participants. The scores on the Downs and Black checklist ranged from 10 to 14, with a mean score of 11.35. The scores on the COSMIN checklist varied from 50% to 100%, with an average score of 65.83%. The meta-analysis findings revealed a small effect size (SMD = 0.01, 95% CI = 0.50–0.52, p = 0.97), indicating no statistically significant difference (p > 0.05). Conclusions: The meta-analysis revealed a small effect size when comparing the Actigraph and IC, suggesting that the Actigraph can be utilized for assessing total PAEE. Descriptive analyses have indicated that the Actigraph device has limited validity in accurately measuring energy expenditure during specific physical activities, such as high-intensity and low-intensity activities. Therefore, caution should be exercised when utilizing this device for such purposes. Furthermore, there was a significant correlation between the activity counts measured by the Actigraph and the PAEE, indicating that activity counts can be utilized as a predictive variable for PAEE.

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“…Other research has validated the ability of the actiwatch to differentiate PA intensity (e.g., Kemp et al, 2020;Lee & Tse, 2019;Neil-Sztramko et al, 2017). Because our data epoch length was 30 s, as opposed to 1 min, we scored the data using PA intensity cutoffs that were half of the counts-per-minute cutoffs used in Lee and Tse (2019).…”

Section: Exploratory Analysis Of Pa Intensitymentioning

confidence: 99%

The impact of restricting sleep duration on physical activity: Secondary analysis of a randomized crossover study.

McElroy,

Dickinson,

Vale

2024

Health Psychology

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Objectives: This study investigated the causal impact of sleep durations on participants' physical activity (PA) in real-world conditions. Method: We performed a secondary analysis of PA data from 146 young adults using a randomized crossover design: both restricted (5-6 hr/night) and well-rested (8-9 hr/night) sleep weeks were assessed, with a washout week in between. Sleep and activity were tracked via research-grade actigraphy. Data analysis of PA involved repeated-measures analysis of variance (ANOVA) and regression techniques. Results: Analysis plans and hypothesis were preregistered before data analysis. The exogenously assigned sleep restriction (SR) treatment reduced nightly sleep an average of 92.65 min (+40.44 min) compared to one's wellrested sleep treatment. The impact of SR on PA was substantial, leading to a 7% reduction in average hourly PA: 18,081.2 (well-rested) versus 16,818.2 (restricted sleep). Significant findings were revealed in daily, F(1, 6) = 84.37, p , .001, η p 2 = 0.934, and hourly comparisons, F(1, 166) = 30.47, p , .001, η p 2 = 0.155. Further, sensitivity analysis using a variety of regression specifications also found that exogenously assigned SR decreased average wake-hour activity counts by approximately 4.4%-4.7% (p , .01 in all cases) when controlling for other factors. Exploratory analysis showed the PA effects of SR manifested via reductions in PA intensity with concurrent increases in the proportion of time considered as sedentary. Conclusions: SR significantly lowered PA by around 7%, characterized by reduced intensity and elevated sedentary behavior in a naturalistic setting. Public Significance StatementAn alarming one-third of adults do not get adequate sleep, and a considerable proportion of the global population does not meet the recommended physical activity (PA) levels, impacting human health, longevity, and overall quality of life. The current study reports a randomized crossover sleep manipulation used to determine the causal impact of sleep amount on average hourly PA. The results provide compelling evidence that sleep-restriction causes lower PA levels, a finding that should be crucial for developing specific guidelines to improve human health.

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Assessing the validity and reliability and determining cut-points of the Actiwatch 2 in measuring physical activity

Abstract: This document is the author's post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.

Cited by 9 publications

References 25 publications

Symptom Cluster Profiles in Adults with Chronic Obstructive Pulmonary Disease and Insomnia

Symptom Cluster Profiles in Adults with Chronic Obstructive Pulmonary Disease and Insomnia

Validity of Actigraph for Measuring Energy Expenditure in Healthy Adults: A Systematic Review and Meta-Analysis

The impact of restricting sleep duration on physical activity: Secondary analysis of a randomized crossover study.

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