Associations between physical activity and cardiometabolic risk factors assessed in a southern California health care system, 2010-2012
Open accessAbstract
INTRODUCTION: Risk factors associated with many chronic diseases can be improved through regular physical activity. This study investigated whether cross-sectional associations between physical activity, assessed by the Exercise Vital Sign (EVS), and cardiometabolic risk factors can be detected in clinical settings. METHODS: We used electronic records from Kaiser Permanente Southern California members (N = 622,897) to examine the association of EVS category with blood pressure, fasting glucose, random glucose, and glycosylated hemoglobin. Adults aged 18 years or older with at least 3 EVS measures between April 2010 and December 2012, without comorbid conditions, and not taking antihypertension or glucose-lowering medications were included. We compared consistently inactive (EVS = 0 min/wk for every measure) with consistently active (EVS ≥150 min/wk) and irregularly active (EVS 1-149 min/wk or not meeting the consistently active or inactive criteria) patients. Separate linear regression analyses were conducted controlling for age, sex, race/ethnicity, body mass index, and smoking status. RESULTS: Consistently active women had lower systolic (-4.60 mm Hg; 95% confidence interval [CI], -4.70 to -4.44) and diastolic (-3.28 mm Hg; 95% CI, -3.40 to -3.17) blood pressure than inactive women. Active men had lower diastolic blood pressure than inactive men. Consistently active patients (women, -5.27 mg/dL [95% CI, -5.56 to -4.97]; men, -1.45 mg/dL [95% CI, -1.75 to -1.16] and irregularly active patients (women, -4.57 mg/dL [95% CI, -4.80 to -4.34]; men, -0.42 mg/dL [95% CI, -0.66 to -0.19]) had lower fasting glucose than consistently inactive patients. Consistently active and irregularly active men and women also had favorable random glucose and HbA1c compared with consistently inactive patients. CONCLUSION: Routine clinical physical activity assessment may give health care providers additional information about their patients' cardiometabolic risk factors.
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The assessment of physical activity used in this study has previously been validated.
“However, this assessment of PA has previously been validated, 18 19”
From Physical inactivity is associated with a higher risk for severe COVID-19 outcomes: a study in 48 440 adult patients (2021) · cites this paper as [19]
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- Authors
- Young, D. R., Coleman, K. J., Ngor, E., Reynolds, K., Sidell, M., & Sallis, R. E.
- Affiliations
- Kaiser Permanente (US)
- Kaiser Permanente Fontana Medical Center (US)
- Corresponding author
- Young, Deborah Rohm
- Venue
- Preventing Chronic Disease
- Published
- 2014-12-18
- Volume
- 11
- Pages
- E219-E219
- ISSN
- 1545-1151 (ISSN-L)
- PMC
- PMC4273545
- OpenAlex
- W2171328866
- Cited by
- 46
- References
- 32
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 3 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 5 · 2019: 4 · 2018: 4 · 2017: 8 · 2016: 2 · 2015: 1
- FWCI
- 2.44
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- public-domain
- Locations
- Preventing Chronic Disease (publishedVersion, public-domain)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Complementary and alternative medicine › Cardiovascular and exercise physiology
- Keywords
- physical activity, cardiometabolic risk factors, blood pressure, fasting blood glucose, random blood glucose, HbA1c, sex differences, Kaiser Permanente Southern California, electronic health records, chronic disease prevention, health care utilization, health care costs, quality of care, health care access, health care disparities
- MeSH terms
- Adult, Blood Glucose, Blood Pressure, California, Cardiovascular Diseases, Cross-Sectional Studies, Female, Glycated Hemoglobin, Humans, Insurance, Health, Male, Surveys and Questionnaires, Regression Analysis, Risk Factors, Sex Factors, Smoking, Socioeconomic Factors, Exercise, Body Mass Index, Outcome Assessment, Health Care, Vital Signs, Sedentary Behavior, Electronic Health Records
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