Development of an ecologically valid approach to assess moderate physical activity using accelerometry in community dwelling women of color: A cross-sectional study

BackgroundWomen of color report the lowest levels of physical activity and highest rates of overweight and obesity in the US. The purpose of this study was to develop an individualized, ecologically valid, field based method to assess physical activity over seven days for community dwelling women of color using accelerometers.MethodsAccelerometer-measured physical activity, Borg perceived exertion, demographics, blood pressure, heart rate, and anthropometric measures were collected from African American and Hispanic or Latina women (N = 209). A threshold for increased physical activity was determined for each participant by calculating the average count per minute (plus one standard deviation) for each participant collected during a self-selected pace that corresponded to a 'recreational' walk about their neighborhood. The threshold was then used to calculate the amount of time spent doing increased intensity physical activity during a typical week.ResultsWomen were middle-aged and obese (M BMI = 34.3 ± 9.3). The average individual activity counts per day ranged from 482-1368 in African American women and 470-1302 in Hispanic or Latina women. On average, African American women spent significantly more time doing what was labeled 'increased' physical activity than Hispanic and Latino women. However neither group approached recommended physical activity levels, as African American women, averaged 1.73% and Hispanic and Latino women averaged 0.83% of their day engaged in increased physical activity (p < 0.05).ConclusionsThis study presents a simple field-based method for developing accelerometer thresholds that identify personalized thresholds of moderate intensity physical activity that can be used by in community-based settings. Findings highlight a need for physical activity programs whose starting points are based upon the individual's typical baseline physical activity level, which is likely to be well below the minimum recommended published guidelines.

[1]  J. Sallis,et al.  Correlations among physical activity and eating behaviors in 4- to 7-year-old Anglo- and Mexican-American children. , 1999, Journal of developmental and behavioral pediatrics : JDBP.

[2]  K. Flegal,et al.  Prevalence of overweight and obesity in the United States, 1999-2004. , 2006, JAMA.

[3]  J. Sallis,et al.  Health Behavior Research: The Quality of the Evidence Base , 2000, American journal of health promotion : AJHP.

[4]  H. Reis,et al.  Handbook of Research Methods in Social and Personality Psychology: Author Index , 2013 .

[5]  Kelly R Evenson,et al.  Accelerometer use in physical activity: best practices and research recommendations. , 2005, Medicine and science in sports and exercise.

[6]  L. Mâsse,et al.  Physical activity in the United States measured by accelerometer. , 2008, Medicine and science in sports and exercise.

[7]  Impact of a Worksite Behavioral Skills Intervention , 2000, American journal of health promotion : AJHP.

[8]  M. Brewer,et al.  Research Design and Issues of Validity , 2000 .

[9]  Daniel W. Jones,et al.  Recommendations for blood pressure measurement in humans and experimental animals: Part 1: blood pressure measurement in humans: a statement for professionals from the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure Research. , 2005, Hypertension.

[10]  J. Sallis,et al.  Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. , 2005, American journal of preventive medicine.

[11]  Charles E Matthew,et al.  Calibration of accelerometer output for adults. , 2005, Medicine and science in sports and exercise.

[12]  J. Phinney The Multigroup Ethnic Identity Measure , 1992 .

[13]  Bernard F Fuemmeler,et al.  Accelerometer data reduction: a comparison of four reduction algorithms on select outcome variables. , 2005, Medicine and science in sports and exercise.

[14]  Actigraph‐defined moderate‐to‐vigorous physical activity cut‐off points among children: statistical and biobehavioural relevance , 2009, Acta paediatrica.

[15]  Ann P Rafferty,et al.  Physical activity patterns among walkers and compliance with public health recommendations. , 2002, Medicine and science in sports and exercise.

[16]  Harrison Si,et al.  Handbook of Research Methods in Social and Personality Psychology: Author Index , 2013 .

[17]  G. Borg Borg's Perceived Exertion and Pain Scales , 1998 .

[18]  W. Elliott,et al.  Recommendations for Blood Pressure Measurement in Humans and Experimental Animals: Part 1. Blood Pressure Measurement in Humans. A Statement for Professionals From the Subcommittee of Professional and Public Education of the American Heart Association Council on High Blood Pressure ResearchPickering , 2006 .

[19]  Judy Kruger,et al.  Prevalence of regular physical activity among adults--United States, 2001 and 2005. , 2007, MMWR. Morbidity and mortality weekly report.

[20]  Gregory J Welk,et al.  Principles of design and analyses for the calibration of accelerometry-based activity monitors. , 2005, Medicine and science in sports and exercise.

[21]  B. Fletcher,et al.  Adherence in the training levels comparison trial. , 1996, Medicine and science in sports and exercise.

[22]  J F Sallis,et al.  Predictors of adoption and maintenance of physical activity in a community sample. , 1986, Preventive medicine.

[23]  J F Sallis,et al.  PACE+: interactive communication technology for behavior change in clinical settings. , 2000, American journal of preventive medicine.

[24]  J. Gerberding,et al.  Prevalence of self-reported physically active adults--United States, 2007. , 2008, MMWR. Morbidity and mortality weekly report.

[25]  I-Min Lee,et al.  Physical activity and weight gain prevention. , 2010, JAMA.