Cited by 262Physical Activity and HealthCardiovascular and exercise physiologyCardiovascular Health and Risk Factors

Reduction in Cardiovascular Disease Risk Factors: 6-Month Results from ProjectActive

Dunn, Andrea L., Marcus, Bess H., Kampert, James B., Garcia, Melissa E., Kohl, Harold W., Blair, Steven N.·1997·Preventive Medicine

Abstract

Background Project Active is a randomized clinical trial that compares a lifestyle physical activity intervention with a traditional structured exercise intervention. The purpose of this paper is to report 6-month results of these interventions on cardiovascular disease (CVD) risk factors among healthy, sedentary, middle-aged men and women, and to examine the psychological strategies used in each group (Lifestyle and Structured) to reach the level of physical activity recommended by the Centers for Disease Control and Prevention (CDC) and American College of Sports Medicine (ACSM) and to achieve changes in these CVD risk factors.Methods A total of 116 initially sedentary men (mean +/- SD self-reported physical activity, 33.2 +/- 1.4 kcal.kg-1.day-1) and 119 women (32.9 +/- 1.0 kcal.kg-1.day-1), ages 35-60 years (46.0 +/- 6.7 years) were randomly assigned to a 6-month lifestyle physical activity counseling intervention or a 6-month gymnasium-based structured program. At baseline and 6 months, changes in lipid and lipoprotein-cholesterol concentrations, blood pressure, and body composition and cognitive and behavioral measures of change were assessed. One-way analyses of variance with covariate adjustment were used to test for between-group differences in CVD risk factors. Associations between achieving the CDC/ACSM criterion and changes in cognitive and behavioral measures were assessed with multiple logistic regression models.Results After 6 months of intervention, 78% of Lifestyle participants and 85% of Structured participants were meeting or exceeding the CDC/ACSM recommendation of accumulating 30 min or more of moderate-intensity physical activity on most, preferably all, days of the week. This was verified by a significant increase in cardiorespiratory fitness in both groups. The adjusted mean increase in maximal METs (VO2peak divided by 3.5 ml.kg-1.min-1) between treadmill tests was 0.4 kcal.kg-1.hr-1 (P < 0.001) for Lifestyle and 1.1 kcal.kg-1.hr-1 (P < 0.001) for Structured. There was a significant difference between intervention groups for this outcome. Both groups had significant reductions in total cholesterol, total cholesterol/HDL-C ratio, diastolic blood pressure, and percentage of body fat. There were no significant between-group differences in changes in these outcomes. Adjusted mean changes in total cholesterol, systolic blood pressure, and percentage of body fat in Lifestyle [in Structured] participants were -0.2 [-0.3] mmol.L-1, -3.2[-1.8] mm Hg, and -1.4 [-1.7] %, respectively. There were significant associations between achieving the CDC/ACSM physical activity criterion and greater use of the cognitive and behavioral strategies of change. Both groups changed self-efficacy and many of the behavioral measures, but there were no significant differences between intervention groups.Conclusions These results demonstrate that lifestyle physical activity counseling is as effective as structured exercise programs in increasing physical activity and improving CVD risk factors after 6 months among initially sedentary men and women. Furthermore, specific cognitive and behavioral counseling strategies were increased significantly as a result of the intervention. These strategies are effective and could be used in a wide variety of settings.

Integrity signals

Registry

Crossref · 10.1006/pmed.1997.0218

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Short-term training can improve plasma lipids if exercise intensity is sufficient.

    “Dunn et al. [59] suggested that short-term training could also make improvements on plasma lipids, as long as there was enough exercise intensities.”

    From Effects of aerobic exercise on lipids and lipoproteins (2017) · cites this paper as [59]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Dunn, A. L., Marcus, B. H., Kampert, J. B., Garcia, M. E., Kohl, H. W., & Blair, S. N.
Affiliations
  • Cooper Institute (US)
  • Brown University (US)
Venue
Preventive Medicine
Publisher
Elsevier BV
Published
1997-11
Volume
26
Issue
6
Pages
883-892
ISSN
0091-7435 (ISSN-L)
OpenAlex
W2078751894
Cited by
262
References
38
Citations by year
2026: 1 · 2025: 2 · 2024: 4 · 2023: 5 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 4 · 2018: 4 · 2017: 4 · 2016: 5 · 2015: 9 · 2014: 8 · 2013: 7 · 2012: 16
FWCI
4.83
Type
journal article
Language
en
Open access
closed
Locations
  • Preventive Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institutes of Health (CA-01757, HL-48597)
Topics
  • Health Sciences › Medicine › Physiology › Physical Activity and Health
  • Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
Keywords
cardiovascular risk factors, sedentary middle-aged adults, physical activity counseling, cardiorespiratory fitness, blood pressure, total cholesterol, HDL cholesterol, body fat percentage, psychological strategies, exercise adherence, exercise motivation, exercise enjoyment, exercise self-efficacy, exercise self-monitoring, exercise social support
MeSH terms
Adult, Analysis of Variance, Cardiovascular Diseases, Counseling, Female, Humans, Health Knowledge, Attitudes, Practice, Life Style, Male, Middle Aged, Models, Psychological, Motivation, Patient Education as Topic, Risk Factors, Exercise, Guidelines as Topic

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review