Assessing physical activity through questionnaires – A consensus of best practices and future directions

Nigg, Claudio R.; Fuchs, Reinhard; Gerber, Markus; Jekauc, Darko; Koch, Theresa; Krell‐Roesch, Janina; Lippke, Sonia; Mnich, Carina; Novak, Bernhard; Ju, Qianqian; Sattler, Matteo C.; Schmidt, Steffen; Poppel, Mireille van; Reimers, Anne K.; Wagner, Petra; Woods, Catherine; Wöll, Alexander

doi:10.1016/j.psychsport.2020.101715

Cited by 63 publications

(64 citation statements)

References 72 publications

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“…So, selection of the best measurement to assess physical activity depends on the purpose, construct, measurement unit, population, setting etc. (Nigg et al, 2020).…”

Section: Practical Implications and Further Researchmentioning

confidence: 99%

“…Therefore, an accurate and efficient measurement instrument for assessing (self-reported) physical activity in people with physical disabilities is essential. Although multiple measures of physical activity (e.g., accelerometer-derived in combination with self-report) might be preferred (Cervantes & Porretta, 2010), mostly it is not practically feasible, and it is too expensive among large-scale populations in interventions and/ or observational cohort studies (Nigg et al, 2020). Self-reports are frequently used measurement tools to assess physical activity in disabled populations, both in rehabilitation practice and in research (Booth, 2000;Cervantes & Porretta, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Self-reports are frequently used measurement tools to assess physical activity in disabled populations, both in rehabilitation practice and in research (Booth, 2000;Cervantes & Porretta, 2010). Also, questionnaires are easy to fill in (Nigg et al, 2020;Rennie & Wareham, 1998;Wendel-Vos et al, 2003). However, self-reported physical activity depends on the persons' recall and mostly is not sensitive for light physical activities at home (e.g., walking from the bedroom to the toilet and from the kitchen to the dining table) or outside (e.g., walking to the mailbox to post a letter), as was found in adults with spinal cord injury (Ma et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…The Physical Activity Scale for Individuals with Physical Disabilities (PASIPD) (Ploeg et al, 2007) was considered for the ReSpAct study, since it is commonly used amongst the target population. To precisely assess the physical activity behaviour before and after a physical activity promotion intervention (Nigg et al, 2020), and to clarify the dose-response relationship between physical activity and the received counselling during the intervention (Prince et al, 2008), frequency, intensity, duration and type of the activity should be measured. The PASIPD assesses duration and type of physical activities but does not specifically assess the frequency and intensity of physical activities, whereby it was considered not applicable for the ReSpAct cohort.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Seves

Hoekstra

Schoenmakers

et al. 2020

Journal of Sports Sciences

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“…So, selection of the best measurement to assess physical activity depends on the purpose, construct, measurement unit, population, setting etc. (Nigg et al, 2020).…”

Section: Practical Implications and Further Researchmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Seves

Hoekstra

Schoenmakers

et al. 2020

Journal of Sports Sciences

View full text Add to dashboard Cite

“…Self-reports are frequently used measurement tools to assess physical activity in disabled populations, both in rehabilitation practice and in research [2,3]. Also, questionnaires are easy to fill in [4–6]. However, self-reported physical activity depends on the persons’ recall and mostly is not sensitive for light physical activities at home (e.g.…”

Section: Introductionmentioning

confidence: 99%

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Seves

Hoekstra

Schoenmakers

et al. 2020

Preprint

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The current study determined the test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities. Before filling in the Adapted-SQUASH twice with a recall period of two weeks, participants wore the Actiheart activity monitor up to one week. For the test-retest reliability (N=68), Intraclass correlation coefficients (ICCs) were 0.67 (p<0.001) for the total activity score (min x intensity/week) and 0.76 (p<0.001) for the total minutes of activity (min/week). For the concurrent validity (N=58), the Spearman correlation coefficient was 0.40 (p=0.002) between the total activity score of the first administration of the Adapted-SQUASH and activity energy expenditure from the Actiheart (kcals kg-1 min-1). The ICC was 0.22 (p=0.027) between the total minutes of activity assessed with the first administration of the Adapted-SQUASH and Actiheart. The Adapted-SQUASH is an acceptable measure to assess self-reported physical activity in large populations of adults with disabilities, but is not applicable at the individual level due to wide limits of agreement. Self-reported physical activity assessed with the Adapted-SQUASH does not accurately represent physical activity assessed with the Actiheart in adults with disabilities, as indicated with a systematic bias between both instruments in the Bland-Altman analysis.

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Individual Barriers to an Active Lifestyle at Older Ages Among Whitehall II Study Participants After 20 Years of Follow-up

Chen

Yerramalla

Hees³

et al. 2022

JAMA Netw Open

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IMPORTANCEIdentification of individual-level barriers associated with decreased activity in older age is essential to inform effective strategies for preventing the health outcomes associated with high sedentary behavior and lack of physical activity during aging. OBJECTIVE To assess cross-sectional and prospective associations of a large set of factors with objectively assessed sedentary time and physical activity at older age. DESIGN, SETTING, AND PARTICIPANTS This population-based cohort study was conducted among participants in the Whitehall II accelerometer substudy with accelerometer data assessed in 2012 to 2013. Among 4880 participants invited to the accelerometer substudy, 4006 individuals had valid accelerometer data. Among them, 3808 participants also had factors assessed in 1991 to 1993 (mean [SD] follow-up time, 20.3 [0.5] years), 3782 participants had factors assessed in 2002 to 2004 (mean [SD] follow-up time, 9.1 [0.3] years), and 3896 participants had factors assessed in 2012 to 2013 (mean follow up time, 0 years). Data were analyzed from May 2020 through July 2021. EXPOSURES Sociodemographic factors (ie, age, sex, race and ethnicity, occupational position, and marital status), behavioral factors (ie, smoking, alcohol intake, and fruit and vegetable intake), and health-related factors (ie, body mass index, 36-Item Short Form Health Survey (SF-36) physical and mental component summary scores [PCS and MCS], and number of chronic conditions) were assessed among 3808 individuals in 1991 to 1993; 3782 individuals in 2002 to 2004; and 3896individuals in 2012 to 2013. High alcohol intake was defined as more than 14 units of alcohol per week, and high fruit and vegetable intake was defined as twice daily or more. MAIN OUTCOMES AND MEASURESAccelerometer-assessed time spent in sedentary behavior, light-intensity physical activity (LIPA), and moderate to vigorous physical activity (MVPA) in 2012 to 2013 were analyzed in 2021 using multivariate linear regressions. RESULTS A total of 3896 participants (986 [25.3%] women; age range, 60-83 years; mean [SD] age, 69.4 [5.7] years) had accelerometer data and exposure factors available in 2012 to 2013. Older age, not being married or cohabiting, having overweight, having obesity, more chronic conditions, and poorer SF-36 PCS, assessed in midlife or later life, were associated with increased sedentary time at the expense of time in physical activity. Mean time differences ranged from 9.8 min/d (95% CI, 4.1 to 15.6 min/d) of sedentary behavior per 10-point decrease in SF-36 PCS to 51.4 min/d (95% CI, 37.2 to65.7 min/d) of sedentary behavior for obesity vs reference range weight, from −6.2 min/d (95% CI, −8.4 to −4.1 min/d) of LIPA per 5 years of age to −28.0 min/d (95% CI, −38.6 to −17.4 min/d) of LIPA for obesity vs reference range weight, and from −5.3 min/d (95% CI, −8.2 to −2.4 min/d) of MVPA per new chronic condition to −23.4 min/d (95% CI, −29.2 to −17.6 min/d) of MVPA for obesity vs reference range weight in 20-year prospective analyses for men. There was also ...

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Assessing physical activity through questionnaires – A consensus of best practices and future directions

Cited by 63 publications

References 72 publications

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Test-retest reliability and concurrent validity of the Adapted Short QUestionnaire to ASsess Health-enhancing physical activity (Adapted-SQUASH) in adults with disabilities

Individual Barriers to an Active Lifestyle at Older Ages Among Whitehall II Study Participants After 20 Years of Follow-up

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