Characteristics of Step-Defined Physical Activity Categories in U.S. Adults

• Published in: American journal of health promotion Vol. 26; no. 3; pp. 152 - 159
• Main Authors: Sisson, Susan B., Camhi, Sarah M., Tudor-Locke, Catrine, Johnson, William D., Katzmarzyk, Peter T.
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.01.2012
• Subjects: Acceleration; Adult; Age Factors; Confidence Intervals; Female; Health Behavior; Health Status; Health Surveys; Humans; Logistic Models; Male; Middle Aged; Motor Activity - physiology; Movement - physiology; Odds Ratio; Sedentary Lifestyle; United States; Walking - physiology; United States; Health focus: physical activity; Manuscript format: research; Outcome measure: behavioral; Strategy: education; Study design: cross-sectional population analysis; Epidemiology; Health Behavior; Prevention Research; Walking; Target population: adults; Research purpose: descriptive; Target population circumstances: income level, ethnicity, sex; Setting: population; U.S. Population
• ISSN: 0890-1171; 2168-6602
• DOI: 10.4278/ajhp.100326-QUAN-95

Purpose. Descriptive physical activity epidemiology of the U.S. population is critical for program development and resource allocation. The purpose of this project was to describe step-defined categories (as measured by accelerometer) of U.S. adults and to determine predictors of sedentary classification (<5000 steps/d). Design. The National Health and Nutrition Examination Survey (NHANES) is an annual, nationally representative survey used to determine the health status of the U. S. populace. Setting. In-home interviews and physical examination components of NHANES. Participants. Overall, 4372 eligible adults wore accelerometers in the 2005–2006 NHANES; 628 were excluded, which yielded 3744 adults (of which 46.8% were men). Measures. Steps per day; body mass index (BMI); demographic, household and behavioral variables. Analysis. Means and frequencies were calculated. Logistic regression was utilized to determine predictors of sedentary classification. Results. Overall, 36.1% were sedentary (i.e., <5000 steps/d); 47.6% were low to somewhat active (5000–9999 steps/d); 16.3% were active to highly active (≥ 10,000 steps/d). Advancing age (odds ratio [OR], 1.95; confidence intervals [CIs], 1.78, 2.13), higher BMI (OR, 1.40; CIs, 1.23, 1.59), female sex (OR, 1.86; CIs, 1.46, 2.36), African-American versus European-American ethnicity (OR, 1.36; CIs, 1.13, 1.65), household income versus ≥ $45,000 (<$25,000: OR, 1.94; CIs, 1.40, 2.69; $25,000–$44,000: OR, 1.51; CIs, 1.23, 1.85), and current versus never smoker (OR, 1.53; CIs, 1.26, 1.86) variables had higher odds of sedentary classification. Usual daily occupational/domestic physical activity categories of standing/walking (OR, .51; CIs, .38, .69); lifting/climbing (OR, .26; CIs, .17, .38); and heavy loads/labor (OR, .16; CIs, .10, .26) had lower odds of sedentary classification than sitting. Conclusions. Over one-third of the U.S. population was classified as sedentary by accelerometer-determined steps per day, and several characteristics predicted sedentary classification.