Executive functioning predicts discrepancies between objective and self-reported physical activity in older adults: a pilot study

Bernstein, John P K; Noland, Madeline; Dorociak, Katherine E.; Leese, Mira I.; Lee, Samuel Y.; Hughes, Adriana

doi:10.1080/13825585.2021.1982857

Cited by 2 publications

(1 citation statement)

References 56 publications

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“…Studies were published between 1993 13 and 2023. [26][27][28][29][30] The PASE was used in a variety of study 165 designs, including cross-sectional studies ( [47][48][49][50][51][52][53][54][55][56][57][58][59][60] Based on data availability, pooled means were created for the following clinical populations: cancer (n=2), 22,61 Chronic Obstructive Pulmonary Disease (COPD) (n=2), 62,63 cognitive impairment (n=6), 27, 64-68 Diabetes (n=3), [69][70][71] Osteoarthritis (n=12), 41, 72-82 and Parkinson's disease (PD) (n=10). [83][84][85][86][87][88][89][90][91][92] Forest plots for clinical populations are available in Additional file 1 Figure B6.…”

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confidence: 99%

Mapping the extent of the literature and psychometric properties for the Physical Activity Scale for the Elderly (PASE) in community-dwelling older adults: A scoping review

D’Amore,

Lajambe,

Bush

et al. 2024

Preprint

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Background: Identifying valid and accessible tools for monitoring and improving physical activity levels is essential for promoting functional ability and healthy aging. The Physical Activity Scale for the Elderly (PASE) is a commonly used and recommended self-report measure of physical activity in older adults. The objective of this scoping review was to map the nature and extent to which the PASE has been used in the literature on older adults, including the evidence for its psychometric properties. Methods: Seven electronic databases (MEDLINE (Ovid), Embase (Ovid), AMED (Ovid), Emcare (Ovid), CINAHL (EBSCO), Ageline (EBSCO)) were searched in January 2023. Studies were included if physical activity was part of the aim(s) and measured using the PASE, participants had a mean age of 60 years or older and lived in the community, and papers were published in English. Pairs of independent reviewers screened abstracts, full-texts, and extracted data. Where possible, weighted mean PASE scores were calculated for different subgroups based on age, sex, and clinical population. Results: From 4,124 studies screened, 232 articles from 35 countries met the inclusion criteria. Most studies were cross-sectional (60.78%), completed in high-income countries (86.4%) and in North America (49.57%). A variety of clinical conditions were included (n=21), with the most common populations being osteoarthritis (n=13), Parkinson’s disease (n=11), and cognitive impairment (n=7). Psychometric properties of ten versions of the PASE were found. All versions demonstrated acceptable test-retest reliability. Evidence for construct validity showed moderate correlations with self-reported physical activity, fair to moderate with accelerometry derived activity and fair relationships with physical function and self-reported health. Pooled means were reported in graphs and forest plots for males, females, age groups, and several clinical populations. Conclusion: The PASE was widely used in a variety of clinical populations and geographical locations. The PASE has been culturally adapted to several populations and evaluated for its reliability and convergent validity; however, further research is required to examine responsiveness and predictive validity. Researchers can use the weighted mean PASE scores presented in this study to help interpret PASE scores in similar populations. OSF registration: osf.io/7bvhx

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