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. 2019 Jan 18;75(2):377–388. doi: 10.1093/geronb/gbz007

Table 3.

Multilevel Regression Predicting Diversity of Activities, Physical Activity and Time Sedentary From Encounters With Close and Peripheral Social Ties

Self reports Actical measurements
Diversity Activity count Time sedentary
Variable B SE B SE B SE
Fixed effects
 Intercept 1.99** 0.72 28454.00*** 5023.64 8.40 11.90
 Encounters with close tiesa 0.55*** 0.06 −149.63 345.85 −2.49** 0.79
 Encounters with peripheral tiesa 0.62*** 0.04 2712.20*** 251.09 −11.27*** 0.58
 Covariates
  Age 0.00 0.01 −344.57*** 57.52 0.75*** 0.14
  Genderb −0.40*** 0.11 −663.18 792.19 2.87 1.88
  Educationc 0.13*** 0.04 261.93 255.97 0.19 0.61
  Physical healthd 0.13* 0.05 1405.32*** 380.94 −3.34*** 0.90
  Marital statuse 0.06 0.12 836.48 814.95 0.85 1.93
  Minority statusf −0.15 0.12 −1250.12 905.47 2.47 2.14
Random effects
 Intercept VAR (Level 2: day) 0.05* 0.03 0.00 0.00
 Intercept VAR (Level 3: participant) 0.65*** 0.06 29891846.00*** 2967297.00 169.11*** 16.65
 Residual VAR 2.06*** 0.04 67367553.00*** 1371405.00 354.63*** 7.22
−2 log likelihood 22361.9 106970.8 45047.9

Note. n = 313 participants, n = 6,262 assessments. The outcome variable was the total number of types of waking activities that participants endorsed every 3 hr throughout the day (14 in total), participants’ averaged activity count and percentage of time being sedentary every 3 hr.

aHaving any encounters with a close tie (or a peripheral tie) every 3 hr throughout the day.

b1 = male, and 0 = female.

c1 = no formal education, 2 = elementary school, 3 = some high school, 4 = high school, 5 = some college, 6 = college, 7= some post college education, 8 = advanced degree.

d1 = poor, 2 = fair, 3 = good, 4 = very good, and 5 = excellent.

e1= married, and 0 = not married.

fCoded as 1= minority, and 0 = nonminority.

*p < .05. **p < .01. ***p < .001.