Actical Accelerometer Sedentary Activity Thresholds for Adults

Wong, Sylvie Lo Fo; Colley, Rachel C.; Gorber, Sarah Connor; Tremblay, Mark S.

doi:10.1123/jpah.8.4.587

Cited by 140 publications

(133 citation statements)

References 17 publications

Supporting

Mentioning

132

Contrasting

Order By: Relevance

“…To be included in the analyses, participants were required to have 4 or more valid days, with ≥10 h of wear time (Colley et al 2010). Sedentary time was defined as <100 counts per minute (cpm) (Wong et al 2011), LPA as 100-1499 cpm, and MVPA as ≥1500 cpm (Puyau et al 2004). Minutes per day of sedentary time, LPA, and MVPA were calculated.…”

Section: Movement Behavioursmentioning

confidence: 99%

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Carson

Tremblay

Chaput

et al. 2016

Appl. Physiol. Nutr. Metab.

327

397

View full text Add to dashboard Cite

Abstract:The purpose of this study was to examine the relationships between movement behaviours (sleep duration, sedentary time, physical activity) and health indicators in a representative sample of children and youth using compositional analyses. Cross-sectional findings are based on 4169 children and youth (aged 6-17 years) from cycles 1 to 3 of the Canadian Health Measures Survey. Sedentary time (SB), light-intensity physical activity (LPA), and moderate-to vigorous-intensity physical activity (MVPA) were accelerometer-derived. Sleep duration was subjectively measured. Body mass index z scores, waist circumference, blood pressure, behavioural strengths and difficulties, and aerobic fitness were measured in the full sample. Triglycerides, high-density lipoprotein-cholesterol, C-reactive protein, and insulin were measured in a fasting subsample. The composition of movement behaviours was entered into linear regression models via an isometric log ratio transformation and was found to be associated with all health indicators (p < 0.01). Relative to other movement behaviours, time spent in SB or LPA was positively associated (p < 0.04) and time spent in MVPA or sleep was negatively associated (p < 0.02) with obesity risk markers. Similarly, LPA was positively associated (p < 0.005) and sleep was negatively associated (p < 0.03) with unfavourable behavioural strengths and difficulties scores and systolic blood pressure. Relative to other movement behaviours, time spent in SB was negatively associated (p < 0.001) and time spent in MVPA (p < 0.001) was positively associated with aerobic fitness. Likewise, MVPA was also negatively associated with several cardiometabolic risk markers (p < 0.008). Compositional data analyses provide novel insights into collective health implications of 24-h movement behaviours and can facilitate interesting avenues for future investigations.Key words: physical activity, sedentary behaviour, sleep, obesity, fitness, metabolic syndrome, cardiovascular disease, compositional analysis, children, youth.Résumé : Cette étude a pour objectif d'analyser la relation entre les comportements kinésiques (durée du sommeil, temps sédentaire, activité physique) et les indicateurs de santé dans un échantillon représentatif d'enfants et de jeunes en utilisant des analyses compositionnelles. Ces observations transversales sont basées sur 4169 enfants et jeunes (conclusions transversales sont basées sur 4169 enfants et les jeunes (âgés de 6-17 ans) des cycles 1 à 3 de l'Enquête canadienne sur les mesures de la santé. Le temps de sédentarité (« SB »), l'activité physique d'intensité légère (« LPA ») et l'activité physique d'intensité modérée à vigoureuse (« MVPA ») sont des mesures provenant d'accéléromètres. La durée du sommeil est mesurée subjectivement. Chez tous les jeunes, on mesure la cote z de l'indice de masse corporelle, le tour de taille, la pression sanguine, les forces et les faiblesses comportementales et la condition physique aérobie. Dans un sous-échantillon à jeun, on mesure les triglycérid...

show abstract

Section: Movement Behavioursmentioning

confidence: 99%

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Carson

Tremblay

Chaput

et al. 2016

Appl. Physiol. Nutr. Metab.

327

397

View full text Add to dashboard Cite

show abstract

“…17 The cut-points used for determining PA intensity were: SED (25 counts per 15-second epoch and 100 counts per 60-second epoch) and MVPA (288 counts per 15-second epoch and 1,150 counts per 60-second epoch). 16,23 Any values between these cut-points were categorized as light PA.…”

Section: Data Treatmentmentioning

confidence: 99%

Outdoor time, physical activity and sedentary time among young children: The 2012–2013 Canadian Health Measures Survey

Larouche

Garriguet

Tremblay

2016

Can J Public Health

View full text Add to dashboard Cite

OBJECTIVES: Previous studies have shown that children who spend more time outdoors are more active and spend less time sedentary, but these studies were limited by the use of small convenience samples. We examined the relationship between outdoor time and measures of physical activity (PA), screen time and sedentary time in a nationally-representative sample of young children.METHODS: Parental reports of outdoor time were obtained for 594 children aged 3-6 years (47.8% girls) who participated in the 2012-2013 Canadian Health Measures Survey. Participants were asked to wear an Actical accelerometer for seven consecutive days. Outdoor time and screen time were assessed by parent reports. The relationships between outdoor time and measures of PA, screen time and sedentary time were examined with linear regression models. Adherence to PA guidelines was estimated based on a betabinomial distribution, and adherence with the screen time guidelines was assessed through logistic regression models. All analyses were stratified by age group (3-4 and 5-6 year olds) and adjusted for sex, parental education and household income.RESULTS: Among 5-6 year olds, each additional hour spent outdoors was associated with an additional 10 minutes of moderate-to-vigorous PA (95% CI: 6-14), 27,455 more accelerometer counts/day (95% CI: 11,929-42,980) and an increased likelihood of meeting the PA guidelines (OR = 2.53; 95% CI: 1.68-3.82). No significant relationships were observed among 3-4 year olds. CONCLUSION:Outdoor time has a large effect on PA among 5-6 year olds at a population level. Future studies should examine the correlates of outdoor time to inform novel PA promotion interventions.KEY WORDS: Motor activity; child; television; surveys and questionnaires La traduction du résumé se trouve à la fin de l'article.

show abstract

“…20 Standard cut-points were used to measure time spent in various levels of movement intensity, including sedentary, light, moderate and vigorous. 20,21 Adherence to the Canadian Society for Exercise Physiology's (CSEP) Canadian PA guidelines for adults was used to classify the women as 'active' or 'non-active'. These guidelines recommend 150 minutes of moderate to vigorous PA (MVPA) per week accumulated in 10-minute bouts, to maintain good health.…”

Section: Accelerometrymentioning

confidence: 99%

Self-report Pregnancy Physical Activity Questionnaire overestimates physical activity

Brett

Wilson

Ferraro

et al. 2015

Can J Public Health

View full text Add to dashboard Cite

OBJECTIVES: Physical activity (PA) research during pregnancy relies heavily on indirect/subjective measures of PA, which may be less accurate than directly measured PA. We tested whether the Pregnancy Physical Activity Questionnaire (PPAQ) could accurately estimate PA by comparing PPAQ results to directly measured PA. METHODS:In a sample of 29 women who completed the PPAQ, PA was directly measured in the second trimester of pregnancy using Actical® accelerometers (valid day = 10+ hours; 4-7 valid days). Activity variables from the PPAQ were calculated using all questions, and also by only considering the leisure time section. Women were classified as 'active' or 'non-active' using Canadian PA guidelines for adults (150 minutes moderate to vigorous PA (MVPA)/ week, bouts of 10+ minutes). Bonferroni corrections were used to adjust for multiple comparisons. Data presented as mean ± standard deviation or median (interquartile range). RESULTS:The PPAQ overestimated MVPA by 12.12 (14.34) hours/week in the combined sample, and the difference remained substantial when investigating the non-active [overestimate = 11.54 (10.10) hrs/wk] and the active women [overestimate = 16 ± 11 hrs/wk] separately. PPAQ-measured PA variables did not correlate with any of their respective Actical®-measured variables (p > 0.008). The leisure time PPAQ questions overestimated MVPA by 1 ± 3 hrs/wk, with a positive correlation between PPAQ-leisure time MVPA and Actical®-measured MVPA (r = 0.565, p = 0.001). CONCLUSION:The PPAQ significantly overestimates MVPA and does not provide an accurate estimate of PA in pregnancy. While PPAQ leisure time questions may help distinguish trends in PA, data from subjective questionnaires may result in misinterpretation of relationships between prenatal PA and health outcomes.KEY WORDS: Maternal health; accelerometry; quantitative evaluation; qualitative evaluation; physical activity La traduction du résumé se trouve à la fin de l'article.

show abstract

Actical Accelerometer Sedentary Activity Thresholds for Adults

Abstract: These findings suggest that a threshold of 100 cpm is appropriate for classifying sedentary activity of adults when using the Actical. As such, wear periods with minutes registering less than 100 cpm would be classified as time spent performing sedentary activity.

Cited by 140 publications

References 17 publications

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses

Outdoor time, physical activity and sedentary time among young children: The 2012–2013 Canadian Health Measures Survey

Self-report Pregnancy Physical Activity Questionnaire overestimates physical activity

Contact Info

Product

Resources

About