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. 2018 Sep 4;13(9):e0202923. doi: 10.1371/journal.pone.0202923

Table 4. Bayesian network propagation: Predicting change in outcomes.

Targeted behavior Change in targeted behavior(s) Outcome Average change in
Outcome
[Mean(SD) of outcome by targeted behavior category]
PA < 270 to ≥ 380 counts/min/day BMI BMI decreases 1 kg/m2
[31.5(4.9) to 30.5(4.9)]
BMI ≥ 30 to < 30 kg/m2 Insulin Insulin decreases 0.30 (log) pg/mL (26% decrease)
[6.29(0.50) to 5.99(0.49)]
BMI ≥ 30 to < 30 kg/m2 CRP CRP decreases 0.76 (log) mg/L (50% decrease)
[15.28(1.07) to 14.56(1.05)]
BMI ≥ 30 to < 30 kg/m2 QoLp QoLp increases 6.1
[64.6(17.9) to 70.7(17.7)]
BMI ≥ 30 to < 30 kg/m2 QoLm QoLm increases 0.3
[74.9(17.3) to 75.2(16,9)]
Sleep2 > Q3 to < Q1 QoLp QoLp increases 20.5
[56.6(16.7) to 77.1(16.3)]
Sleep2 > Q3 to < Q1 QoLm QoLm increases 23.9
[62.9(15.9) to 86.8(14.7)]
Sleep2 + BMI sleep2 > Q3 to < Q1
BMI ≥ 30 to < 30 kg/m2
QoLp QoLp increases 26.7
[54.3(16.1) to 81.0(16.1)\
Sleep2 + BMI sleep2 > Q3 to < Q1
BMI ≥ 30 to < 30 kg/m2
QoLm QoLm increases 23.3
[62.8(15.8) to 86.1(14.5)]

a Derived from 5000 simulated datasets via network propogation.

Q3: 75th%-ile; Q1: 25th%-ile