Doubly labeled water validation of a computerized use-of-time recall in active young people

Foley, Louise; Maddison, Ralph; Rush, Elaine; Olds, Tim; Ridley, Kate; Jiang, Yannan

doi:10.1016/j.metabol.2012.07.021

Cited by 39 publications

(34 citation statements)

References 41 publications

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“…Although the MARCA has been well validated [16,19], self-report can result in social desirability bias and errors due to memory lapses [32]. In addition, higher socio-economic status has been associated with more physical activity and computer use [6,8] so the higher levels of education and income in this sample could have biased the results, although the findings do not support this concern.…”

Section: Limitationsmentioning

confidence: 77%

“…The MARCA has demonstrated high same day test-retest reliability in adults (ICC ≥ 0.99) for minutes spent in screen time and sleep, good convergent validity for physical activity level with accelerometry (rho = 0.72) [16] and good criterion validity for TDEE with doubly labeled water (rho = 0.70, p < 0.001) [19].…”

Section: Use Of Time Measurementmentioning

confidence: 99%

“…The general health sub-scale comprises five Likert scale items, which are summed to create a total score of 25 (range: 5-25). The scores were categorised into tertiles: fair (5-17); good (18)(19); or excellent (20-25) health.…”

Section: Health Variablementioning

confidence: 99%

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Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

et al. 2016

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Section: Limitationsmentioning

confidence: 77%

Section: Use Of Time Measurementmentioning

confidence: 99%

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Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

et al. 2016

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“…The adult version of the MARCA has test-retest reliabilities in adults of 0.920-0.997 [28] for major activity sets such as sleep, physical activity and screen time and convergent validity between physical activity level (estimated average rate of energy expenditure) and accelerometer counts/minute of rho = 0.72 [28]. A comparison of the child and adolescent version of the MARCA with the gold standard doubly labeled water showed correlations of rho = 0.70 for total daily energy expenditure [30]. …”

Section: Methodsmentioning

confidence: 99%

Testing the activitystat hypothesis: a randomised controlled trial

et al. 2016

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BackgroundIt has been hypothesised that an ‘activitystat’ may biologically regulate energy expenditure or physical activity levels, thereby limiting the effectiveness of physical activity interventions. Using a randomised controlled trial design, the aim of this study was to investigate the effect of a six-week exercise stimulus on energy expenditure and physical activity, in order to empirically test this hypothesis.MethodsPreviously inactive adults (n = 129) [age (mean ± SD) 41 ± 11 year; body mass index 26.1 ± 5.2 kg/m2] were randomly allocated to a Control group (n = 43) or a 6-week Moderate (150 min/week) (n = 43) or Extensive (300 min/week) (n = 43) exercise intervention group. Energy expenditure and physical activity were measured using a combination of accelerometry (total counts, minutes spent in moderate to vigorous physical activity) and detailed time use recalls using the Multimedia Activity Recall for Children and Adults (total daily energy expenditure, minutes spent in moderate to vigorous physical activity) at baseline, mid- and end-intervention and 3- and 6-month follow up. Resting metabolic rate was measured at baseline and end-intervention using indirect calorimetry. Analysis was conducted using random effects mixed modeling.ResultsAt end-intervention, there were statistically significant increases in all energy expenditure and physical activity variables according to both accelerometry and time use recalls (p < 0.001) in the Moderate and Extensive groups, relative to Controls. There was no significant change in resting metabolic rate (p = 0.78).ConclusionTaken together, these results show no evidence of an “activitystat” effect. In the current study, imposed exercise stimuli of 150–300 min/week resulted in commensurate increases in overall energy expenditure and physical activity, with no sign of compensation in either of these constructs.Trial registration numberACTRN12610000248066 (registered prospectively 24 March 2010)

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“…The test-retest reliability, conducted on adults on the one day, was high for the domains of screen time and sleep (ICC = 0.990 to 0.997) [16]. Validity for physical activity level is moderate-to-strong compared with doubly labelled water (rho = 0.70) [18] and for sedentary behaviour, moderate to strong compared with ActivPAL (r = 0.77) (r = 0.77) [19].…”

Section: Use Of Time Measurementmentioning

confidence: 96%

Changes in use of time across retirement: A longitudinal study

et al. 2017

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Objectives. This study aimed to investigate how daily use of time changes across the retirement transition and how these changes may differ according to socio-demographic characteristics.Study design. This longitudinal cohort study was based on interviews with 124 people at preretirement and at three, six and 12 months after retirement. Main outcome measures. The Multimedia Activity Recall for Children and Adults(MARCA), a computer-assisted telephone interview, measured use of time. Random effects mixed modelling (REMM) was used to examine time use changes across retirement, and ANCOVA to investigate the extent of the change by sex, education and health.2 Results. Apart from the decrease in time spent in work across retirement (-122 min/day, p < 0.001), less time was also spent in both active and passive transport (-26 min/day, p < 0.001).There were significant increases in time spent on Chores (+55 min/day, p < 0.001), Screen time (+32 min/day, p < 0.001), Sleep (+32 min/day, p < 0.001), Quiet time (+17 min/day, p = 0.02), Self-care (+8 min/day, p = 0.01) and Physical activity (+7 min/day, p = 0.01). There was little variation in change between sex, education and health sub-groups. Most changes occurred at retirement, with time use patterns fairly stable between three and 12 months postretirement.Conclusions. The small amount of time spent in physical activity, combined with less time spent in active transport and increased time spent watching television, indicate the need for a more active lifestyle.

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Doubly labeled water validation of a computerized use-of-time recall in active young people

Cited by 39 publications

References 41 publications

Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

Patterns and correlates of time use and energy expenditure in older Australian workers: A descriptive study

Testing the activitystat hypothesis: a randomised controlled trial

Changes in use of time across retirement: A longitudinal study

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