Literature DB >> 20421836

Comparing physical activity measures in a diverse group of midlife and older adults.

Jorge A Banda1, Brent Hutto, Anna Feeney, Karin A Pfeiffer, Kerry McIver, Michael J Lamonte, Steven N Blair, John Vena, Steven P Hooker.   

Abstract

PURPOSE: To compare self-report and objective measures of moderate- and vigorous-intensity physical activity (MVPA min·d(-1)) in midlife and older adults.
METHODS: Seventy-one participants (69% female, 74.6% Caucasian, 25.4% African American) completed the Behavioral Risk Factor Surveillance System physical activity (PA) questions, the Aerobic Center Longitudinal Study PA short survey (PASS), and the Aerobic Center Longitudinal Study PA long survey (PALS) and wore an accelerometer for seven consecutive days. Accelerometer MVPA minutes per day were determined using 1- and 10-min MVPA bout methods.
RESULTS: Participants were older (mean ± SD; age = 57.4 ± 9.9 yr) and overweight (body mass index = 27.9 ± 4.9 kg·m(-2)) but otherwise healthy. Median (interquartile range) MVPA minutes per day were 42.9 (51.4) from the Behavioral Risk Factor Surveillance System PA questions, 51.4 (68.6) from the PASS, 25.7 (48.6) from the PALS, 32.4 (33.5) from the 1-min MVPA bout accelerometer data, and 4.6 (16.8) from the 10-min MVPA bout accelerometer data. Pearson correlations adjusted for participant demographics revealed low to moderate correlations between self-report and 1-min MVPA bout accelerometer-determined MVPA minutes per day (r = 0.11-0.31), with the PASS (P < 0.05) and PALS (P < 0.01) having significant correlations with accelerometry. Cohen κ coefficients showed poor agreement between all three questionnaires and 1-min MVPA bout accelerometry for having ≥150 MVPA min·wk(-1) (κ = 0.26-0.38, all P < 0.05).
CONCLUSIONS: Our results indicate that there was poor agreement between self-report and accelerometer-based assessments of PA in midlife and older adults.

Entities:  

Mesh:

Year:  2010        PMID: 20421836     DOI: 10.1249/MSS.0b013e3181e32e9a

Source DB:  PubMed          Journal:  Med Sci Sports Exerc        ISSN: 0195-9131            Impact factor:   5.411


  14 in total

1.  Multiple measures of physical activity, dietary habits and weight status in African American and Hispanic or Latina women.

Authors:  Rebecca E Lee; Scherezade K Mama; Ashley V Medina; Jacqueline Y Reese-Smith; Jorge A Banda; Charles S Layne; Meggin Baxter; Daniel P O'Connor; Lorna McNeill; Paul A Estabrooks
Journal:  J Community Health       Date:  2011-12

2.  "Are You Sure?": Lapses in Self-Reported Activities Among Healthy Older Adults Reporting Online.

Authors:  Katherine V Wild; Nora Mattek; Daniel Austin; Jeffrey A Kaye
Journal:  J Appl Gerontol       Date:  2015-02-09

3.  Interventions to Increase Physical Activity Among Older Adults: A Meta-Analysis.

Authors:  Jo-Ana D Chase
Journal:  Gerontologist       Date:  2014-10-07

4.  The association between resistance exercise and cardiovascular disease risk in women.

Authors:  Clemens Drenowatz; Xuemei Sui; Stacy Fritz; Carl J Lavie; Paul F Beattie; Timothy S Church; Steven N Blair
Journal:  J Sci Med Sport       Date:  2014-09-22       Impact factor: 4.319

5.  Effects of cardiorespiratory fitness on aging: glucose trajectory in a cohort of healthy men.

Authors:  Xuemei Sui; Andrew S Jackson; Timothy S Church; Duck-Chul Lee; Daniel P O'Connor; Jihong Liu; Steven N Blair
Journal:  Ann Epidemiol       Date:  2012-07-03       Impact factor: 3.797

6.  Comparing Multiple Measures of Physical Activity in African-American Adults.

Authors:  Scherezade K Mama; Nishat Bhuiyan; Rebecca E Lee; Karen Basen-Engquist; David W Wetter; Deborah Thompson; Lorna H McNeill
Journal:  Am J Health Behav       Date:  2019-09-01

7.  Differences between accelerometer cut point methods among midlife women with cardiovascular risk markers.

Authors:  Danielle Arigo; Jacqueline A Mogle; Megan M Brown; Savannah R Roberts; Kristen Pasko; Meghan L Butryn; Danielle Symons Downs
Journal:  Menopause       Date:  2020-05       Impact factor: 2.953

Review 8.  Physical activity among South Asian women: a systematic, mixed-methods review.

Authors:  Whitney S Babakus; Janice L Thompson
Journal:  Int J Behav Nutr Phys Act       Date:  2012-12-20       Impact factor: 6.457

9.  Use of quantile regression to investigate the longitudinal association between physical activity and body mass index.

Authors:  Matteo Bottai; Edward A Frongillo; Xuemei Sui; Jennifer R O'Neill; Robert E McKeown; Trudy L Burns; Angela D Liese; Steven N Blair; Russell R Pate
Journal:  Obesity (Silver Spring)       Date:  2013-10-16       Impact factor: 5.002

10.  Physical activity and telomere length in early stage breast cancer survivors.

Authors:  Sheila N Garland; Brad Johnson; Christina Palmer; Rebecca M Speck; Michelle Donelson; Sharon X Xie; Angela DeMichele; Jun J Mao
Journal:  Breast Cancer Res       Date:  2014-07-31       Impact factor: 6.466

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.