Reproducibility of physical activity recall over fifteen years: Longitudinal evidence from the CARDIA study

Ashley Wilder Smith, Kathleen A. Cronin, Heather Bowles, Gordon Willis, David R. Jacobs, Rachel Ballard-Barbash, Richard P. Troiano

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Background: To examine the benefits of physical activity (PA) on diseases with a long developmental period, it is important to determine reliability of long-term PA recall. Methods. We investigated 15-year reproducibility of PA recall. Participants were 3605 White and African-American adults in the Coronary Artery Risk Development in Young Adults study, aged 33-45 at the time of recall assessment. Categorical questions assessed PA before and during high school (HS) and overall PA level at Baseline, with the same timeframes recalled 15years later. Moderate- and vigorous-intensity scores were calculated from reported months of participation in specific activities. Results: HS PA recall had higher reproducibility than overall PA recall (weighted kappa=0.43 vs. 0.21). Correlations between 15-year recall and Baseline reports of PA were r=0.29 for moderate-intensity scores, and r=0.50 for vigorous-intensity. Recall of vigorous activities had higher reproducibility than moderate-intensity activities. Regardless of number of months originally reported for specific activities, most participants recalled either no activity or activity during all 12months. Conclusion: PA recall from the distant past is moderately reproducible, but poor at the individual level, among young and middle aged adults.

Original languageEnglish (US)
Article number180
JournalBMC public health
Volume13
Issue number1
DOIs
StatePublished - 2013

Bibliographical note

Funding Information:
This work was supported by the National Cancer Institute, contract number: Y2-PC-0010-DC and by the National Heart, Lung and Blood Institute, CARDIA contract numbers: N01-HC-48047 – N01-HC-48050 and N01-HC-95095. The authors thank Dr. Laurence Freedman for statistical advice and Lisa Kahle for programming support.

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