Comparison of the college alumnus questionnaire physical activity index with objective monitoring

https://doi.org/10.1016/j.annepidem.2003.07.001Get rights and content

Abstract

Purpose

Two methods of measuring physical activity (PA) were compared over a consecutive 7-day period among 25 adults (12 men and 13 women).

Methods

Each day estimates of energy expended in light, moderate, vigorous, and total PA were derived from the simultaneous heart-rate motion sensor (HR+M) technique. At the end of the 7-day period participants completed the College Alumnus Questionnaire Physical Activity Index (CAQ-PAI) and results were compared with HR+M technique estimates.

Results

Correlations between the two methods in the four activity categories ranged from r = 0.20 to r = 0.47, with vigorous and total PA showing higher associations than light and moderate PA. Mean levels of PA (MET-min·wk−1) obtained using the two methods were similar in the moderate and vigorous categories, but individual differences were large. Energy expended in light PA was significantly underestimated on the CAQ-PAI, resulting in lower total activity scores on this questionnaire as compared with the HR+M.

Conclusions

The CAQ-PAI accurately reflected mean moderate and vigorous activity in comparison with the HR+M technique. The results are consistent with other studies which have shown that physical activity questionnaires are better at assessing vigorous PA than ubiquitous light-moderate activities.

Introduction

Evidence is available to support the importance of regular physical activity (PA) to promote good health and prevent chronic disease, including coronary heart disease, hypertension, diabetes, and some cancers (1). One of the most widely used assessment techniques for estimating PA levels in epidemiological investigations is the questionnaire. The feasibility and practicality, in both time and cost, of questionnaires makes them the instrument of choice in large-scale studies examining the relationships between PA and selected health parameters (2). One commonly used questionnaire to estimate PA is the College Alumnus Questionnaire (CAQ) (3). The CAQ physical activity index (CAQ-PAI) is an overall measure of the kilocalories expended in leisure-time physical activity, and is computed from the sum of city blocks walked, flights of stairs climbed, and sports, recreation, and other physical activities. One of the main advantages of the CAQ-PAI is its ability to rank individuals according to physical activity level in large-scale population based studies. More specifically, this instrument has been used to examine associations between total PA and hypertension (4), cancer 5., 6., 7., coronary heart disease (8), stroke (9), mortality 10., 11., and longevity 10., 12.. In addition, the CAQ-PAI provides information on intensity allowing the effects of moderate vs. vigorous activity to be compared (13).

The limitations associated with recalled PA on questionnaires have been well documented 14., 15., 16. and include a low accuracy for recalling light to moderate activities. To date, the lack of a suitable criterion standard has been a methodological limitation to examine the accuracy of PA questionnaires during field-based PA investigations. Recently, research has demonstrated that the simultaneous heart rate-motion sensor (HR+M) technique is an accurate, objective method for quantifying energy expenditure (EE) during specified lifestyle tasks (17), and for quantifying minute-by-minute EE, total EE, and time spent in varying activity intensities during free-living activity (18). This technique utilizes individual calibration curves between HR and oxygen uptake (V̇O2) developed in the laboratory for both arm and leg exercise. Then, in the field setting, motion sensors are used to discriminate between arm and leg movement, and HR is used to predict the V̇O2 from the corresponding individualized regression equation. Although the accuracy of the CAQ-PAI has been reported previously (19), at this time, the CAQ-PAI has not been compared with an objective assessment criterion able to accurately discriminate between light, moderate, and vigorous intensity PA. Therefore, the primary purpose of this study was to compare respondent estimates of intensity-specific PA assessed by the CAQ-PAI to those measured by the HR+M technique over 7 days of regular daily activity. A secondary purpose was to compare the ability of the CAQ-PAI to estimate total PA levels in comparison with the HR+M technique over the same time period.

Section snippets

Participants

The study population consisted of a convenience sample of 25 individuals (12 men and 13 women) with varying activity levels aged between 20 and 56 years (Table 1). Volunteers participating in this study were recruited through word of mouth and from posted announcements in the local community. Ninety-two percent of the participant sample were Caucasian and 8% were African American. Sixty-four percent of the study sample were white-collar workers, 8% were involved with manual labor occupations,

Results

Examination of light intensity PA levels revealed that the CAQ-PAI accounted for 1.5% of values measured by the HR+M (124 vs. 8052 MET-min·wk−1 [Table 2]). This resulted in significantly lower total PA levels, with the CAQ-PAI only representing approximately 27% of values recorded by the HR+M (2929 vs. 10,850 MET-min·wk−1, respectively). Mean levels of moderate and vigorous PA did not differ between the CAQ-PAI and the HR+M. Individual difference scores between the CAQ-PAI and the HR+M are

Discussion

We compared components of regular daily activity estimated by the CAQ-PAI to values recorded by the HR+M technique over 7 consecutive days. The major findings of this study were that the CAQ-PAI greatly underestimated the total amount of PA as well as the amount of activity performed in the light (<4 METs) intensity category in comparison with the HR+M. Group levels of moderate and vigorous PA were similar between the two methods. Individual difference scores for moderate and vigorous activity

Acknowledgements

The authors wish to acknowledge Sarah Freeman and Oguma Yuko for scoring the College Alumnus Questionnaires, and Dr. I-Min Lee for her helpful comments in preparing this manuscript.

References (29)

  • B.E. Ainsworth et al.

    Accuracy of recall of occupational physical activity by questionnaire

    J Clin Epidemiol

    (1999)
  • B.E. Ainsworth et al.

    Accuracy of the college alumnus physical activity questionnaire

    J Clin Epidemiol

    (1993)
  • US Department of Health and Human Services

    Physical Activity and Health: A Report of the Surgeon General

    (1996)
  • R. LaPorte et al.

    Assessment of physical activity in epidemiological research: Problems and prospects

    Public Health Rep

    (1985)
  • R.S. Paffenbarger et al.

    Physical activity as an index of heart attack risk in college alumni

    Am J Epidemiol

    (1978)
  • R.S. Paffenbarger et al.

    Physical activity and incidence of hypertension in college alumni

    Am J Epidemiol

    (1983)
  • H. Sesso et al.

    Physical activity and breast cancer risk in the college alumni health study

    Cancer Causes Control

    (1998)
  • I.-M. Lee et al.

    Physical activity and risk of lung cancer

    Int J Epidemiol

    (1999)
  • I.-M. Lee et al.

    Physical activity and risk of prostatic cancer among college alumni

    Am J Epidemiol

    (1992)
  • I.-M. Lee et al.

    Physical activity and coronary heart disease risk in men: Does the duration of episodes predict risk?

    Circulation

    (2000)
  • I.-M. Lee et al.

    Physical activity and stroke incidence: The Harvard Alumni Health Study

    Stroke

    (1998)
  • R.S. Paffenbarger et al.

    Physical activity, all-cause mortality, and longevity of college alumni

    N Engl J Med

    (1986)
  • R.S. Paffenbarger et al.

    The association of changes in physical activity and other lifestyle characteristics with mortality among men

    N Engl J Med

    (1993)
  • R.S. Paffenbarger et al.

    Changes in physical activity and other lifestyle patterns influencing longevity

    Med Sci Sports Exerc

    (1994)
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