Older adults’ reporting of specific sedentary behaviors: validity and reliability

Cauwenberg, Jelle Van; Holle, Veerle Van; Bourdeaudhuij, Ilse De; Owen, Neville; Deforche, Benedicte

doi:10.1186/1471-2458-14-734

Cited by 66 publications

(77 citation statements)

References 42 publications

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“…The average difference in sedentary time between the two methods was smaller in our study than reported in previous studies (6)(7)(8), and it was not significant. A reason for this discrepancy could be different study populations, and differences in procedures for calculating sedentary time.…”

Section: Discussioncontrasting

confidence: 84%

“…For instance, previous studies did not express sedentary time in percent of time spent on all activities together within a day. Also, previous studies did not exclude workers with obvious erroneous values, in our case defined as a >50% difference between results from self-reports and accelerometer (6)(7)(8). On the other hand, we observed a significant …”

Section: Discussioncontrasting

confidence: 66%

“…For example, individuals have been shown to underestimate their self-reported daily sedentary time by 15-43% (6)(7)(8) and overestimate their self-reported physical activity level by 36-173%, compared to objective measurements (9). Both under-and over-reporting of time spent sedentary and in physical activity will lead to biased associations between these exposures and health outcomes.…”

mentioning

confidence: 99%

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Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Gupta¹,

Heiden²,

Mathiassen³

et al. 2017

Scand J Work Environ Health

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As one of the first of its kind, this study found that age and low-back pain, but not body mass index and gender, introduce differential bias in self-reported time spent sedentary and in physical activity. We therefore recommend that self-reported information on these behaviors should be used with due caution in clinical practice, in research, as well as when designing health promotion programs. Key terms: age; back pain; bias; blue-collar worker; body mass index; body mass index; exposure modelling; gender; low-back pain; measurement error; musculoskeletal pain; pain; physical activity; questionnaire; sedentary; self-report; self-reported time This article in PubMed: www.ncbi.nlm.nih.gov/pubmed/29184965 Additional materialPlease note that there is additional material available belonging to this article on the Scandinavian Journal of Work, Environment & Health -website. Scand J Work Environ Health 2018, vol 44, no 2 163Original article Scand J Work Environ Health. 2018;44(2):163-170. doi:10.5271/sjweh.3693 Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?by Nidhi Gupta, PhD, 1 Marina Heiden, PhD, 2 Svend Erik Mathiassen, PhD, 2 Andreas Holtermann, PhD 1,3 Gupta N, Heiden M, Mathiassen SE, Holtermann A. Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index and low-back pain? Scand J Work Environ Health. 2018;44(2):163-170. doi:10.5271/sjweh.3693 Objectives This study aimed to determine the extent to which age, gender, body mass index (BMI) and lowback pain (LBP) influence bias in self-reported sedentary behavior and moderate-to-vigorous physical activity (MVPA) among blue-collar workers.Methods For 2-4 consecutive working days, 147 workers wore an Actigraph accelerometer on the thigh. Proportional time spent sedentary and in MVPA was determined using the Acti4 software. The same variables were also self-reported in a questionnaire. The difference between self-reported and accelerometer-based sedentary time and MVPA was calculated and linearly regressed against age, gender, BMI, and self-reported LBP intensity as main effects, as well as interaction terms combining each of these factors with objectively measured exposure.Results Workers objectively spent 64% of their time sedentary and 9% in MVPA. On average, self-reports underestimated sedentary time by 1.5% and overestimated MVPA by 5.5%. Workers with mild/no LBP appeared to have the same size of self-report bias in MVPA regardless of how much MVPA they actually had, while workers with high LBP overestimated MVPA to an increasing extent with increasing exposure [interaction: B=0.29, 95% confidence interval (CI) 0.05-0.53]. Age was positively associated with self-report bias in sedentary time (B=0.31, 95% CI 0.09-0.54) regardless of actual sedentary time.Conclusions LBP and age, but not BMI and gender, introduced differential bias in self-reported information on sedentary behavior and MVPA among blue-collar w...

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Section: Discussioncontrasting

confidence: 84%

Section: Discussioncontrasting

confidence: 66%

mentioning

confidence: 99%

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Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Gupta¹,

Heiden²,

Mathiassen³

et al. 2017

Scand J Work Environ Health

View full text Add to dashboard Cite

show abstract

“…Of note, test–retest reliability was acceptable for TV viewing, computer use, driving and total sitting time. Furthermore, the correlations between the questionnaire and accelerometer data were stronger in older men than older women 20. For a similar questionnaire on time spent in 10 sedentary behaviours on a regular weekday and regular weekend (n=83), total self-reported ST was underestimated, and correlated moderately (0.35) with accelerometer (ActiGraph) measured ST 22.…”

Section: Methodsmentioning

confidence: 85%

“…This tool underestimated ST more in women (34%) than in men (26%) when compared with a heart rate and movement sensor (Actiheart). A questionnaire using self-reported frequency and duration of sedentary behaviours in the past 7 days (n=442) was found to underestimate ST when compared with an accelerometer (ActiGraph); however, it overestimated ST among those who accumulated 640 min/day 20. Of note, test–retest reliability was acceptable for TV viewing, computer use, driving and total sitting time.…”

Section: Methodsmentioning

confidence: 89%

Sedentary time in older adults: a critical review of measurement, associations with health, and interventions

et al. 2017

Self Cite

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Sedentary time (ST) is an important risk factor for a variety of health outcomes in older adults. Consensus is needed on future research directions so that collaborative and timely efforts can be made globally to address this modifiable risk factor. In this review, we examined current literature to identify gaps and inform future research priorities on ST and healthy ageing. We reviewed three primary topics:(1) the validity/reliability of self-report measurement tools, (2) the consequences of prolonged ST on geriatric-relevant health outcomes (physical function, cognitive function, mental health, incontinence and quality of life) and(3) the effectiveness of interventions to reduce ST in older adults. Methods A trained librarian created a search strategy that was peer reviewed for completeness.

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Measurement of Sedentary Behaviour in Population Studies

Ainsworth,

Rivière,

Florez-Pregonero

2023

Sedentary Behaviour Epidemiology

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Older adults’ reporting of specific sedentary behaviors: validity and reliability

Cited by 66 publications

References 42 publications

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Is self-reported time spent sedentary and in physical activity differentially biased by age, gender, body mass index, and low-back pain?

Sedentary time in older adults: a critical review of measurement, associations with health, and interventions

Measurement of Sedentary Behaviour in Population Studies

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