Validation and reliability of two activity monitors for energy expenditure assessment

Brazeau, Anne‐Sophie; Beaudoin, Nadia; Belisle, V.; Messier, Virginie; Karelis, Antony D.; Rabasa‐Lhoret, Rémi

doi:10.1016/j.jsams.2014.11.001

Cited by 42 publications

(34 citation statements)

References 29 publications

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“…Further development of objective, field capable measurement devices are needed to more accurately ascertain exposure to occupational and leisure-time PA and understand their relationship with health outcomes (Holtermann, 2015). Several recent studies and systematic reviews have assessed the validity and/or reliability of PA monitors among participants in controlled laboratory environments and/or during free-living conditions (AguilarFarías et al, 2014;Brazeau et al, 2014;Grydeland et al, 2014;Jarrett et al, 2014;John et al, 2010John et al, , 2013Kelly et al, 2013;Kowalski et al, 2012;Van Remoortel et al, 2012;Thiese, 2014;Vanhelst et al, 2010;Welk et al, 2012;Yang and Hsu, 2010). Results have generally suggested a high level of heterogeneity (Van Remoortel et al, 2012), indicating a need for researchers to cautiously select monitors and summary metrics that are appropriate for their research questions (Kowalski et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of four sensor locations for physical activity assessment

2016

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Section: Discussionmentioning

confidence: 99%

Evaluation of four sensor locations for physical activity assessment

2016

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“…This validated SenseWear System® (Brazeau et al, 2016) recorded continuous physiological activity data using heat flux, galvanic skin response, skin temperature, and a three-axis accelerometer that was recorded at one-minute intervals. Daily times spent in sedentary, light, moderate, and vigorous activity were used for this analysis.…”

Section: Methodsmentioning

confidence: 99%

Fear of hypoglycemia: Influence on glycemic variability and self-management behavior in young adults with type 1 diabetes

Martyn‐Nemeth

Quinn

Penckofer

et al. 2017

Journal of Diabetes and its Complications

101

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Purpose The purpose of this study was to examine how fear of hypoglycemia (FOH) is associated with glycemic variability (GV) and self-management behavior in young adults (aged 18–35) with type 1 diabetes (T1DM). Procedures Using a prospective repeated-measures design, in 35 young adults, within- and between-person and temporal associations of FOH, specific self-management behaviors, and GV were measured. The data were collected using questionnaires and real-time measures using daily diaries, insulin pump downloads, actigraphy, and continuous glucose monitoring. Findings FOH was associated with greater glycemic variability. Significant temporal associations emerged. Concurrent day (glucose SD, p = .011) and previous-evening fear levels were associated with GV (glucose SD, p = .007). FOH was also associated with greater calorie intake (r = .492, p = .003) and less physical activity (light activity, r = −.341, p = .045). Conclusions The significant associations of FOH with GV, dietary patterns, and physical activity provide evidence for FOH as an important psychological factor associated with diabetes care.

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“…The number of steps and the METS were used to estimate participants level of physical activity using a validated triaxial accelerometer (SenseWear ® Mini Armband) as previously described by Brazeau et al [68],Colbert et al [69]. Participants had to wear the device in the left arm all the time during 7 consecutive days, except when taking a shower or swimming.…”

Section: Energy Balancementioning

confidence: 99%

Muscle adaptation in response to a high-intensity interval training in obese older adults: effect of daily protein intake distribution

et al. 2019

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Background Aging is associated with declines in muscle mass, strength and quality, leading to physical impairments. An even protein distribution in daily meals has recently been proposed along with adequate total protein intake as important modulators of muscle mass. In addition, due to its short duration, high-intensity interval training (HIIT) has been highlighted as a promising intervention to prevent physical deterioration. However, the interaction between daily protein intake distribution and HIIT intervention in elderlies remain unknown. Objective To investigate muscle adaptation following HIIT in older adults according to daily protein intake distribution. Methods Thirty sedentary obese subjects who completed a 12-week elliptical HIIT program were matched [criteria: age (± 2 years), sex, BMI (± 2 kg/m 2 )] and divided a posteriori into 2 groups according to the amount of protein ingested at each meal: < 20 g in at least one meal (P20−, n = 15, 66.8 ± 3.7 years) and ≥ 20 g in each meal (P20+, n = 15, 68.1 ± 4.1 years). Body composition, functional capacity, muscle strength, muscle power, physical activity level, and nutritional intakes were measured pre-and post-intervention. A two way repeated ANOVA was used to determine the effect of the intervention (HIIT) and protein distribution (P20− vs P20+, p < 0.05). Results No difference was observed at baseline between groups. Following the HIIT intervention, we observed a significant decrease in waist and hip circumferences and improvements in functional capacities in both P20− and P20 + group (p < 0.05). However, no protein distribution effect was observed. Conclusion A 12-week HIIT program is achievable and efficient to improve functional capacities as well as body composition in obese older adults. However, consuming at least 20 g of proteins in every meal does not further enhance muscle performance in response to a 12-week HIIT intervention.

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Validation and reliability of two activity monitors for energy expenditure assessment

Cited by 42 publications

References 29 publications

Evaluation of four sensor locations for physical activity assessment

Evaluation of four sensor locations for physical activity assessment

Fear of hypoglycemia: Influence on glycemic variability and self-management behavior in young adults with type 1 diabetes

Muscle adaptation in response to a high-intensity interval training in obese older adults: effect of daily protein intake distribution

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