Clinical assessment of the physical activity pattern of chronic fatigue syndrome patients: a validation of three methods

Scheeres, Korine; Knoop, Hans; Meer, van der Jos; Bleijenberg, Gijs

doi:10.1186/1477-7525-7-29

Cited by 38 publications

(34 citation statements)

References 22 publications

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“…Similar problems have been reported using the long form of IPAQ to assess PA in patients with chronic fatigue syndrome [39] and with short form of the IPAQ in healthy Swedish adults [40]. This may be due to the intrinsic difficulty that entails the assessment of PA by questionnaire [3].…”

Section: Discussionsupporting

confidence: 55%

Adiposity and Age Explain Most of the Association between Physical Activity and Fitness in Physically Active Men

et al. 2010

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BackgroundTo determine if there is an association between physical activity assessed by the short version of the International Physical Activity Questionnaire (IPAQ) and cardiorespiratory and muscular fitness.Methodology/Principal FindingsOne hundred and eighty-two young males (age range: 20–55 years) completed the short form of the IPAQ to assess physical activity. Body composition (dual-energy X-Ray absorptiometry), muscular fitness (static and dynamic muscle force and power, vertical jump height, running speed [30 m sprint], anaerobic capacity [300 m running test]) and cardiorespiratory fitness (estimated VO2max: 20 m shuttle run test) were also determined in all subjects.Activity-related energy expenditure of moderate and vigorous intensity (EEPAmoderate and EEPAvigorous, respectively) was inversely associated with indices of adiposity (r = −0.21 to −0.37, P<0.05). Cardiorespiratory fitness (VO2max) was positively associated with LogEEPAmoderate (r = 0.26, P<0.05) and LogEEPAvigorous (r = 0.27). However, no association between VO2max with LogEEPAmoderate, LogEPPAvigorous and LogEEPAtotal was observed after adjusting for the percentage of body fat. Multiple stepwise regression analysis to predict VO2max from LogEEPAwalking, LogEEPAmoderate, LogEEPAvigorous, LogEEPAtotal, age and percentage of body fat (%fat) showed that the %fat alone explained 62% of the variance in VO2max and that the age added another 10%, while the other variables did not add predictive value to the model [VO2max = 129.6−(25.1× Log %fat) − (34.0× Log age); SEE: 4.3 ml.kg−1. min−1; R2 = 0.72 (P<0.05)]. No positive association between muscular fitness-related variables and physical activity was observed, even after adjusting for body fat or body fat and age.Conclusions/SignificanceAdiposity and age are the strongest predictors of VO2max in healthy men. The energy expended in moderate and vigorous physical activities is inversely associated with adiposity. Muscular fitness does not appear to be associated with physical activity as assessed by the IPAQ.

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Section: Discussionsupporting

confidence: 55%

Adiposity and Age Explain Most of the Association between Physical Activity and Fitness in Physically Active Men

et al. 2010

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“…The IPAQ–short is an internationally widely used instrument to measure physical activity. In The Netherlands, the validity in the general population31 33 and in chronic fatigue syndrome34 35 was found to be comparable with other self-reported measures of physical activity.…”

Section: Methodsmentioning

confidence: 59%

Physical activity and physical activity cognitions are potential factors maintaining fatigue in patients with primary Sjögren's syndrome

et al. 2011

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“…For the accelerometer device (excluding pedometers), and for the fitness measures, several different units were used and were not consistent across studies. Of the seventeen studies using an accelerometer as the objective standard (8 in Table 2[18-20,29,31-33,39], 4 in Table 3[38,40,42,43], and 5 in both [23,25,34-36]), four types of units were commonly reported (with some studies reporting multiple different units). These included (i) raw accelerometry counts without transformation (Counts [17,25,29,31,33,35,36,40,43]), (ii) count data to energy expenditure (TEE/AEE/PAL [23,34,39]), (iii) MET scores (MET min/wk [19,25,31,32,36,38,40,42]), and (iv) time spent (Total PA min/wk [25,31,36,38-40,42,43]).…”

Section: Resultsmentioning

confidence: 99%

Performance of the international physical activity questionnaire (short form) in subgroups of the Hong Kong chinese population

Lee

McDowell

et al. 2011

Int J Behav Nutr Phys Act

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BackgroundThe International Physical Activity Questionnaire (IPAQ-SF) has been validated and recommended as an efficient method to assess physical activity, but its validity has not been investigated in different population subgroups. We examined variations in IPAQ validity in the Hong Kong Chinese population by six factors: sex, age, job status, educational level, body mass index (BMI), and visceral fat level (VFL).MethodsA total of 1,270 adults (aged 42.9 ± SD 14.4 years, 46.1% male) completed the Chinese version of IPAQ (IPAQ-C) and wore an accelerometer (ActiGraph) for four days afterwards. The IPAQ-C and the ActiGraph were compared in terms of estimated Metabolic Equivalent Task minutes per week (MET-min/wk), minutes spent in activity of moderate or vigorous intensity (MVPA), and agreement in the classification of physical activity.ResultsThe overall Spearman correlation (ρ) of between the IPAQ-C and ActiGraph was low (0.11 ± 0.03; range in subgroups 0.06-0.24) and was the highest among high VFL participants (0.24 ± 0.05). Difference between self-reported and ActiGraph-derived MET-min/wk (overall 2966 ± 140) was the smallest among participants with tertiary education (1804 ± 208). When physical activity was categorized into over or under 150 min/wk, overall agreement between self-report and accelerometer was 81.3% (± 1.1%; subgroup range: 77.2%-91.4%); agreement was the highest among those who were employed full-time in physically demanding jobs (91.4% ± 2.7%).ConclusionsSex, age, job status, educational level, and obesity were found to influence the criterion validity of IPAQ-C, yet none of the subgroups showed good validity (ρ = 0.06 to 0.24). IPAQ-SF validity is questionable in our Chinese population.

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Clinical assessment of the physical activity pattern of chronic fatigue syndrome patients: a validation of three methods

Abstract: Background: Effective treatment of chronic fatigue syndrome (CFS) with cognitive behavioural

Cited by 38 publications

References 22 publications

Adiposity and Age Explain Most of the Association between Physical Activity and Fitness in Physically Active Men

Adiposity and Age Explain Most of the Association between Physical Activity and Fitness in Physically Active Men

Physical activity and physical activity cognitions are potential factors maintaining fatigue in patients with primary Sjögren's syndrome

Performance of the international physical activity questionnaire (short form) in subgroups of the Hong Kong chinese population

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