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Table 1 Descriptive statistics of sample characteristics

From: Using functional principal component analysis (FPCA) to quantify sitting patterns derived from wearable sensors

 

Mean (SDa)

 

Count (%c)

SBP (mmHg)

127.2 (16.0)

Race (white)b

284 (92.2)

DBP (mmHg)

75.6 (10.5)

Education (college and above)

222 (72.1)

Age (years)

68.2 (7.3)

Employment (working)

123 (39.9)

BMI

32.3 (4.9)

Hypertension (yes)

159 (52.3)

Average daily time (minute)

   

   inactive sitting

307.7 (78.7)

  

   active sitting

94.6 (40.6)

  

   non-sitting

262.6 (91.0)

  

     standing

193.7 (73.8)

  

     stepping

68.9 (27.1)

  
  1. aStandard deviation (SD)
  2. bBinary variables: Race (white versus non-white), Education (college and above versus below), Employment status (work versus not working), Hypertension status (yes/no)
  3. cAmong 314 participants, % was based on the non-missing corresponding variables at baseline, hypertension status had 10 missing values while all others had 6
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International Journal of Behavioral Nutrition and Physical Activity

ISSN: 1479-5868

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