Validity of Electronically Administered Recent Physical Activity Questionnaire (RPAQ) in Ten European Countries

Golubić, Rajna; May, Anne M.; Borch, Kristin Benjaminsen; Overvad, Kim; Munier, Charles; Díaz, Magdalena Gómez; Amiano, Pilar; Palli, Domenico; Valanou, Elisavet; Vigl, Matthaeus; Franks, Paul W.; Wareham, Nicholas J.; Ekelund, Ulf; Brage, Sören

doi:10.1371/journal.pone.0092829

Cited by 88 publications

(88 citation statements)

References 51 publications

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“…The four sets of starting data from Method A were: (1) duration (minutes per day) of moderate to vigorous physical activity (MVPA) derived from the Recent Physical Activity Questionnaire (RPAQ) (Besson, Brage, Jakes, Ekelund, & Wareham, 2010); (2) total daily PAEE expressed in kJ•day -1 •kg -1 derived from RPAQ; (3) the four-level categorical Cambridge Index derived by combining occupational physical activity with time participating in cycling and other physical exercise, giving categories of inactive, moderately inactive, moderately active, and active (Golubic et al, 2014;Peters et al, 2012;Wareham et al, 2003); and (4) the mean daily high-pass filter vector magnitude signal from non-dominant wrist acceleration expressed in milli-g (ACC WRIST ) (White et al, 2018;White, Westgate, Wareham, & Brage, 2016).…”

Section: Specific Harmonisation Taskmentioning

confidence: 99%

“…METs (Ainsworth et al, 2011), estimates of PAEE calculated as frequency * duration * intensity (Besson et al, 2010), and the four-level Cambridge Index (Golubic et al, 2014;Wareham et al, 2003). The ACC TRUNK signal from the combined heart and movement sensor was used in the format of mean daily trunk acceleration in m•s -2 , while the HR signal together with treadmill test data was used to derive an individually calibrated estimate of PAEE as previously described (Brage et al, 2007(Brage et al, , 2015.…”

Section: Bridge Equation Ac Five Variations On Bridge Equation Ac Wementioning

confidence: 99%

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Harmonisation of Physical Activity Variables by Indirect Validation: A Doubly Labelled Water Study

Pearce

Bishop

Sharp

et al. 2019

Preprint

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Harmonisation of data for pooled analysis relies on the principle of inferential equivalence between variables from different sources. Ideally, this is achieved using models of the direct relationship with gold standard criterion measures, but the necessary validation data are often unavailable. This study examines an alternative method of harmonisation by indirect validation. Starting methods were self-report or accelerometry, from which we derived indirect models of relationships with doubly labelled water (DLW)-measured physical activity energy expenditure (PAEE) using sets of two bridge equations via one of three intermediate measures. Coefficients and performance of indirect models were compared to corresponding direct validation models (linear regression of DLW-measured PAEE on starting methods). Indirect model beta coefficients were attenuated compared to direct model betas (10-63%), narrowing the range of PAEE values; attenuation was greater when bridge equations were weak. Directly and indirectly harmonised models had similar error variance but most indirectly derived values were biased at group-level. Correlations with DLWmeasured PAEE were identical after harmonisation using continuous linear but not categorical models. Wrist acceleration harmonised to DLW-measured PAEE via combined accelerometry and heart rate sensing had lowest error variance (24.5%) and non-significant mean bias 0.9 (95%CI: -1.6; 3.4) kJ•day -1 •kg -1 . Associations between PAEE and BMI were similar for directly and indirectly harmonised values, but most fell outside the confidence interval of the criterion PAEE-to-BMI association. Indirect models can be used for harmonisation. Performance depends on the measurement properties of original data, variance explained by available bridge equations, and similarity of population characteristics.

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Section: Specific Harmonisation Taskmentioning

confidence: 99%

Section: Bridge Equation Ac Five Variations On Bridge Equation Ac Wementioning

confidence: 99%

Harmonisation of Physical Activity Variables by Indirect Validation: A Doubly Labelled Water Study

Pearce

Bishop

Sharp

et al. 2019

Preprint

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“…The physical activity and sedentariness of the subject was collected by validated questionnaires: -for subjects aged 18-79 years old: the Recent Physical Activity Questionnaire (RPAQ) was included in the SA questionnaire (Golubic, May et al 2014 The present document has been produced and adopted by the bodies identified above as authors. This task has been carried out exclusively by the authors in the context of a contract between the European Food Safety Authority and the authors, awarded following a tender procedure.…”

Section: Physical Activitymentioning

confidence: 99%

“…The physical activity and sedentariness of the subject was collected by validated questionnaires: -for subjects aged 18-79 years old: the Recent Physical Activity Questionnaire (RPAQ) was included in the SA questionnaire (Golubic, May et al 2014); -for children aged 11-17 years old: the validated Youth Risk Behaviour Survey (YRBS) questionnaire was included in the FF questionnaire (Troped, Wiecha et al 2007); -for children aged 3-10 years old: a French-specific questionnaire, developed and compared with an accelerometer in children aged 6-10 years old, was included in the FF questionnaire. The present document has been produced and adopted by the bodies identified above as authors.…”

Section: Physical Activitymentioning

confidence: 99%

The French dietary survey on the general population (INCA3)

Dubuisson¹,

Carrillo²,

Dufour³

et al. 2017

EFS3

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The third French dietary survey, INCA3, was carried out by the French Agency for Food, Environmental and Occupational Health and Safety (ANSES). In the contract CFT/EFSA/DCM/2011/02/02 concluded in 28/10/2011 with the European Food Safety Authority (EFSA), ANSES has committed itself to providing EFSA with French national food consumption data in the required format and suitable for inclusion in the EFSA Comprehensive European Food Consumption Database and in return, EFSA has committed itself to supporting the French national dietary survey. To comply with the EFSA Guidance, the main adaptations of the INCA3 survey methodology concerned the study population, the dietary information collection method and the interview protocol. In more details, the INCA3 study population included infants (0-1 year old) and toddlers (2-3 years old) and the 7-consecutive-day self-reported food record method was replaced by the three non-consecutive 24h-recalls (among 15-79 year-old subjects) or 24h-records (among 0-14 year-old subjects) methods administered by telephone. These adaptations were tested on the field during a pilot study in 2013. The full-scale INCA3 survey was carried out between February 2014 and September 2015 on two representative samples of respectively 2282 adults aged 18-79 years old and 2178 children aged 0-17 years old. For both samples, data were gathered using the GloboDiet software and coded into the FoodEx2 system afterward. A food propensity questionnaire was also used to collect long-term food intake. In addition, information on long-term food supplement use, physical activity and sedentariness levels, special diets and socio-demographic characteristics of the subjects were collected by supplementary questionnaires. Finally, the participants' height and weight were measured. Disclaimer: The present document has been produced and adopted by the bodies identified above as authors. This task has been carried out exclusively by the authors in the context of a contract between the European Food Safety Authority and the authors, awarded following a tender procedure. The present document is published complying with the transparency principle to which the Authority is subject. It may not be considered as an output adopted by the Authority. The European Food Safety Authority reserves its rights, view and position as regards the issues addressed and the conclusions reached in the present document, without prejudice to the rights of the authors. Reproduction is authorised provided the source is acknowledged. The French national dietary survey (INCA3, 2014-2015)www.efsa.europa.eu/publications 3 EFSA Supporting publication 2017:EN-1351The present document has been produced and adopted by the bodies identified above as authors. This task has been carried out exclusively by the authors in the context of a contract between the European Food Safety Authority and the authors, awarded following a tender procedure. The present document is published complying with the transparency principle to which the Authority is s...

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“…Diet-induced thermogenesis is less variable and ordinarily constitutes approximately 10% of total energy expenditure 4 . The predominant source of uncertainty in total energy expenditure estimates is the highly-variable activity energy expenditure component, which has proven difficult to capture by subjective instruments such as questionnaires 5,6 . Body-worn sensors such as accelerometers have the potential to provide a relatively cheap and reliable solution to this problem 7 , if valid inference models can be devised to estimate activity energy expenditure from the measurements they record.…”

Section: Introductionmentioning

confidence: 99%

Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study

White

Westgate

Hollidge

et al. 2018

Preprint

Self Cite

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BackgroundMany large studies have implemented wrist or thigh accelerometry to capture physical activity, but the accuracy of these measurements to infer Activity Energy Expenditure (AEE) and consequently Total Energy Expenditure (TEE) has not been demonstrated. The purpose of this study was to assess the validity of acceleration intensity at wrist and thigh sites as estimates of AEE and TEE under free-living conditions using a gold-standard criterion.MethodsMeasurements for 193 UK adults (105 men, 88 women, aged 40-66 years, BMI 20.4-36.6 kg·m-2) were collected with triaxial accelerometers worn on the dominant wrist, non-dominant wrist and thigh in free-living conditions for 9-14 days. In a subsample (50 men, 50 women) TEE was simultaneously assessed with doubly labelled water (DLW). AEE was estimated from non-dominant wrist using an established estimation model, and novel models were derived for dominant wrist and thigh in the non-DLW subsample. Agreement with both AEE and TEE from DLW was evaluated by mean bias, Root Mean Squared Error (RMSE) and Pearson correlation.ResultsMean TEE and AEE derived from DLW was 11.6 (2.3) MJ·day-1 and 49.8 (16.3) kJ·day-1·kg-1. Dominant and non-dominant wrist acceleration were highly correlated in free-living (r=0.93), but less so with thigh (r=0.73 and 0.66, respectively). Estimates of AEE were 48.6 (11.8) kJ·day-1·kg-1 from dominant wrist, 48.6 (12.3) from non-dominant wrist, and 46.0 (10.1) from thigh; these agreed strongly with AEE (RMSE ~12.2 kJ·day-1·kg-1, r ~0.71) with small mean biases at the population level (~6%). Only the thigh estimate bias was statistically significantly different from the criterion. When combining these AEE estimates with estimated REE, agreement was stronger with the criterion (RMSE ~1.0 MJ·day-1, r ~0.90). Conclusions: In UK adults, acceleration measured at either wrist or thigh can be used to estimate population levels of AEE and TEE in free-living conditions with high precision.

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Validity of Electronically Administered Recent Physical Activity Questionnaire (RPAQ) in Ten European Countries

Cited by 88 publications

References 51 publications

Harmonisation of Physical Activity Variables by Indirect Validation: A Doubly Labelled Water Study

Harmonisation of Physical Activity Variables by Indirect Validation: A Doubly Labelled Water Study

The French dietary survey on the general population (INCA3)

Estimating energy expenditure from wrist and thigh accelerometry in free-living adults: a doubly labelled water study

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