Faculty Collaboration Database

Association between low ankle-brachial index and accelerometer-derived sedentary and exercise time in the asymptomatic general population. Vasc Med 2015 Aug;20(4):332-8

Date

04/18/2015

Pubmed ID

25883159

DOI

10.1177/1358863X15573837

Scopus ID

2-s2.0-84938808143 (requires institutional sign-in at Scopus site)   17 Citations

Abstract

Sedentary behavior is an adverse health risk factor that is independent of physical activity. The relationship between sedentary behavior, exercise activity and the ankle-brachial index (ABI) is not well understood. We analyzed data from the National Health and Nutrition Examination Survey (NHANES) 2003-2004. Accelerometer data were used to quantify exercise and sedentary time for each participant. A low ABI was defined as a value <1.0 (including borderline values). Multi-variable adjusted logistic regression analyses were performed with sedentary and exercise times as independent variables, adjusting for important confounders. There were 1443 asymptomatic participants (mean age 61 years, 49% female, 55% current/prior smokers) with mean daily sedentary and exercise times of 454 ± 144 and 18 ± 20 minutes, respectively. Of the participants, 23% had an ABI <1.0 (8.7% with ABI <0.9). Sedentary time was positively associated with a low ABI (odds ratio [OR] 1.22 per 1 standard deviation [SD], [95% confidence interval (CI), 1.03-1.43]; p=0.02) while exercise time was inversely associated with a low ABI (OR 0.71 per 1 SD, [95% CI, 0.57-0.89]; p=0.003). Sedentary time is associated with low ABI values in the asymptomatic population. This association appears to be independent of exercise time and warrants further investigation.

Author List

Kulinski JP, Sanghavi M, Ayers CR, Das SR, Banerjee S, Berry JD, Addo T, De Lemos JA, Kumbhani DJ

Author

Jacquelyn P. Kulinski MD Associate Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Actigraphy
Aged
Ankle Brachial Index
Asymptomatic Diseases
Chi-Square Distribution
Exercise
Female
Humans
Logistic Models
Male
Middle Aged
Motor Activity
Multivariate Analysis
Nutrition Surveys
Odds Ratio
Peripheral Arterial Disease
Predictive Value of Tests
Risk Factors
Time Factors
United States