Simultaneous Validation of Ten Physical Activity Questionnaires in Older Men: A Doubly Labeled Water Study

Bonnefoy, Marc; Normand, Sylvie; Pachiaudi, C.; Lacour, Jean‐René; Laville, Martine; Kostka, Tomasz

doi:10.1046/j.1532-5415.2001.49006.x

Cited by 208 publications

(212 citation statements)

References 36 publications

(78 reference statements)

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“…25 From the literature, correlation coefficients for EE calculated from the DLW method and physical activity recalls between 0.5 and 0.7 are known. 9,23,24,26 In some studies, the correlations were even lower with average differences between EE calculated from the DLW method and from physical activity recalls of 30%. 4,5 Physical activity records, also called diaries, have been shown to be more accurate than physical activity recalls and questionnaires for estimation of energy expenditure.…”

Section: Discussionmentioning

confidence: 91%

“…A broad variety of instruments is available for this purpose. 3,23 For large-scale epidemiological studies in free-living people, the estimation of habitual and actual physical activity is mainly based on the use of records, recalls or questionnaires. 9,24 In general, recalls and records are used to assess actual activity , whereas questionnaires are intended to measure habitual activity.…”

Section: Discussionmentioning

confidence: 99%

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Validation of a simplified physical activity record by doubly labeled water technique

et al. 2005

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INTRODUCTION:For obtaining reliable information about physical activity in epidemiological studies, validated and easy-touse instruments are required. Therefore, a new simplified physical activity record based on 15-min recording intervals was developed and validated. SUBJECTS: Nonobese volunteers (n ¼ 31). MEASUREMENTS: Physical activity was recorded over a 7-day period without detailed instructions. Energy expenditure was calculated (EE sPAR ) and compared to energy expenditure measured by doubly labelled water technique (EE DLW ). RESULTS: A good agreement between EE sPAR (12.173.0) and EE DLW (11.773.3) with a mean difference of 0.3371.55 MJ (r ¼ 0.880, Po0.001) was observed. The absolute difference between EE sPAR and EE DLW was o10% in 65% of the subjects. The difference between EE sPAR and EE DLW was independent of gender, age, body weight, and body mass index. A weak positive association between the difference and total body fat was observed (r ¼ 0.618, Po0.001), suggesting a slight tendency to overestimate EE sPAR with increasing total body fat. CONCLUSION: The new simplified physical activity protocol needs no detailed instructions, provides valid estimates of physical activity in nonobese free-living adults and can be used in epidemiological studies to assess total daily energy expenditure and physical activity level.

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Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Validation of a simplified physical activity record by doubly labeled water technique

et al. 2005

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“…Dependent Variable-Physical Activity Assessment: The outcome of interest (dependent variable) was PA. To quantify PA, a self-reported questionnaire called the Physical Activity Scale for the Elderly (PASE) 13 was used because of its accepted validity, 14 reliability, 15 and suitability for CR graduates. 16 To calculate an individual's PASE score, the total time spent doing individual activities such as leisure activity, household chores, and occupational activities, is multiplied by respective item weights (available for each activity reported).…”

Section: Methodsmentioning

confidence: 99%

Physical Activity Behavior Two to Six Years Following Cardiac Rehabilitation: A Socioecological Analysis

Bentley

Khan

et al. 2012

Clinical Cardiology

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Background: Cardiac rehabilitation (CR) promotes long-term positive health behaviours, such as physical activity (PA), in patients following a cardiovascular event. We have limited knowledge of long-term PA and its correlates. Therefore, this research examined both PA behaviour and socioecological correlates among elderly graduates 2-6 years following CR. Hypothesis: CR graduates will have a moderate PA level in the long term. Greater PA will be associated with various multilevel correlates.Methods: This was a retrospective, cross-sectional study which quantified PA using the Physical Activity Scale for the Elderly (PASE) and collected information about socioecological correlates at the intrapersonal, interpersonal and health service levels. Both univariate and multivariate analyses assessed PA and PA correlates. Results: The majority of the 584 participants were older (69.8 ± 9.8), male (80.3%), and well educated (75.4% ≥ some post-secondary). Average time since CR graduation was 41.5 ± 11.5 months. Seventy five percent of CR graduates reported current weekly PA levels that met, or exceeded, Canadian PA guidelines (>150 minutes of moderate-vigorous PA). Univariate analyses identified 13 PASE score correlates. Multivariate analyses identified age, PA enjoyment, current work status, CR staff support, location of primary residence, and perceived health as significantly associated with higher PASE scores (p < 0.001).Conclusions: Three and a half years post-CR graduates had high PA levels. Greater PA was associated with several modifiable multilevel correlates at all levels of influence. Understanding correlates of long-term PA behaviour among CR graduates will help identify groups at risk for nonadherence and assist with continued program development. IntroductionCompared to patients who only receive conventional inhospital care, patients who complete a cardiac rehabilitation (CR) program following a cardiac event experience a significant reduction in all-cause mortality 1 -3 by 20% to 25% within 3 years. 3 CR programs are traditionally short-term multifaceted interventions that include physical activity (PA) as a core element. 2,4,5 One of the overarching objectives of CR is to encourage patients to maintain PA at guidelinerecommended levels after program completion. Current Canadian PA guidelines for effective health advocate at least 150 minutes of moderate-vigorous PA per week. 6 There is some evidence that states that PA behavior among CR graduates in the short term (1 year post-CR) often fails toThe authors have no funding, financial relationships, or conflicts of interest to disclose. meet the recommendations. 7,8 There is very little evidence on PA behavior over the long term (2 or more years).Encouraging positive health behaviors among CR graduates is a complex process that involves many levels of influence. To examine these levels of influence, a comprehensive approach to health promotion must be employed, such as the socioecological model. 9 The socioecological model integrates intra-and interpersonal fa...

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“…PASE has been validated in several older adult populations [22][23][24][25] and has been shown to have good correlation (r = 0.68) with doubly labeled water assessment of physical activity [24] and to be more strongly correlated with 6-min test performance than two comparable self-reported older adult physical activity instruments that assessed Btypical^activity [23].…”

Section: Individual Measuresmentioning

confidence: 99%

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

et al. 2017

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Neighborhood physical disorder-the visual indications of neighborhood deterioration-may inhibit outdoor physical activity, particularly among older adults. However, few previous studies of the association between neighborhood disorder and physical activity have focused on this sensitive population group, and most have been cross-sectional. We examined the relationship between neighborhood physical disorder and physical activity, measured using the Physical Activity Scale for the Elderly (PASE), in a three-wave longitudinal study of 3497 New York City residents aged 65-75 at baseline weighted to be representative of the older adult population of New York City. We used longitudinal mixed linear regression controlling for a number of individual and neighborhood factors to estimate the association of disorder with PASE score at baseline and change in PASE score over 2 years. There were too few subjects to assess the effect of changes in disorder on activity levels. In multivariable mixed regression models accounting for individual and neighborhood factors; for missing data and for loss to followup, each standard deviation increase in neighborhood disorder was associated with an estimated 2.0 units (95% CI 0.3, 3.6) lower PASE score at baseline, or the equivalent of about 6 min of walking per day. However, physical disorder was not related to changes in PASE score over 2 years of follow-up. In this ethnically and socioeconomically diverse population of urban older adults, residents of more disordered neighborhoods were on average less active at baseline. Physical disorder was not associated with changes in overall physical activity over time.

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Simultaneous Validation of Ten Physical Activity Questionnaires in Older Men: A Doubly Labeled Water Study

Cited by 208 publications

References 36 publications

Validation of a simplified physical activity record by doubly labeled water technique

Validation of a simplified physical activity record by doubly labeled water technique

Physical Activity Behavior Two to Six Years Following Cardiac Rehabilitation: A Socioecological Analysis

Neighborhood Disorder and Physical Activity among Older Adults: A Longitudinal Study

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