title: Defining accelerometer thresholds for activity intensities in adolescent girls.
abstract: OBJECTIVE
  To derive a regression equation that estimates metabolic equivalent (MET) from accelerometer counts, and to define thresholds of accelerometer counts that can be used to delineate sedentary, light, moderate, and vigorous activity in adolescent girls.
  
  
  METHODS
  Seventy-four healthy 8th grade girls, age 13 - 14 yr, were recruited from urban areas of Baltimore, MD, Minneapolis/St. Paul, MN, and Columbia, SC, to participate in the study. Accelerometer and oxygen consumption (.-)VO(2)) data for 10 activities that varied in intensity from sedentary (e.g., TV watching) to vigorous (e.g., running) were collected. While performing these activities, the girls wore two accelerometers, a heart rate monitor and a Cosmed K4b2 portable metabolic unit for measurement of (.-)VO(2). A random-coefficients model was used to estimate the relationship between accelerometer counts and (.-)VO(2). Activity thresholds were defined by minimizing the false positive and false negative classifications.
  
  
  RESULTS
  The activities provided a wide range in (.-)VO(2) (3 - 36 mL x kg x min) with a correspondingly wide range in accelerometer counts (1- 3928 counts x 30 s). The regression line for MET score versus counts was MET = 2.01 +/- 0.00171 (counts x 30 s) (mixed model R = 0.84, SEE = 1.36). A threshold of 1500 counts x 30 s defined the lower end of the moderate intensity (approximately 4.6 METs) range of physical activity. That cutpoint distinguished between slow and brisk walking, and gave the lowest number of false positive and false negative classifications. The threshold ranges for sedentary, light, moderate, and vigorous physical activity were found to be 0 - 50, 51- 1499, 1500 - 2600, and >2600 counts x 30 s, respectively.
  
  
  CONCLUSIONS
  The developed equation and these activity thresholds can be used for prediction of MET score from accelerometer counts and participation in various intensities of physical activity in adolescent girls.
authors.affiliation: Center for Human Nutrition, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA. mtreuth@jhsph.edu
authors.forename: Margarita S
authors.initials: MS
authors.lastname: Treuth
authors.forename: Kathryn
authors.initials: K
authors.lastname: Schmitz
authors.forename: Diane J
authors.initials: DJ
authors.lastname: Catellier
authors.forename: Robert G
authors.initials: RG
authors.lastname: McMurray
authors.forename: David M
authors.initials: DM
authors.lastname: Murray
authors.forename: M Joao
authors.initials: MJ
authors.lastname: Almeida
authors.forename: Scott
authors.initials: S
authors.lastname: Going
authors.forename: James E
authors.initials: JE
authors.lastname: Norman
authors.forename: Russell
authors.initials: R
authors.lastname: Pate
mesh_terms: D000054:Acceleration; D000293:Adolescent; D003627:Data Interpretation, Statistical; D004734:Energy Metabolism; D015444:Exercise; D005188:False Negative Reactions; D005189:False Positive Reactions; D005260:Female; D006801:Humans; D008991:Monitoring, Physiologic / Q000295:instrumentation*; D010101:Oxygen Consumption; D005082:Physical Exertion; D010809:Physical Fitness; D012044:Regression Analysis; D014481:United States