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. 2020 Aug 26;20:130. doi: 10.1186/s12902-020-00604-6

Table 2.

Mediation of self-care behaviors between diabetes knowledge and glycemic control in low-income patients with type 2 diabetes mellitus from Mexico City (n=513).

Diabetes knowledge X → Y (c path)a,h
β 95% CI
Crude analysis -0.10 (-0.19, -0.01)
X → Y (c' path) directb,h X → M (a path)c,h M → Y (b path)d,h Indirect effect (a*b)e,g Proportion mediatedf
β 95% CI β 95% CI β 95% CI β 95% CI β 95% CI
Self-care behavior
 Diet (-0.30, 0.87)
  Specific -0.11 (-0.02, -0.19) 0.13 (0.06, 0.21) 0.06 (-0.04, 0.17) 0.01 (0.00, 0.03) -0.11 (-0.64, 0.04)
  Global -0.09 (-0.17, 0.02) 0.18 (0.09, 0.26) -0.09 (-0.10, 0.00) -0.01 (-0.03, 0.00) 0.13 (-0.05, 0.75)
  Total -0.10 (-0.12, 0.11) 0.15 (0.09, 0.22) -0.03 (-0.15, 0.08) 0.00 (-0.02, 0.02) 0.01 (-0.27, 0.34)
 Physical activity, days a week -0.08 (-0.18, 0.01) 0.18 (0.09, 0.27) -0.11 (-0.19, -0.03) -0.02 (-0.04, 0.00) 0.17 (0.01, 0.85)
 Blood sugar testing, days a week -0.10 (-0.06, 0.12) 0.13 (0.04, 0.22) 0.02 (-0.07, 0.10) 0.00 (-0.01, 0.02) -0.04 (-0.43, 0.19)
 Foot care, days a week -0.09 (-0.07, 0.06) 0.40 (0.28, 0.53) -0.02 (-0.08, 0.04) 0.00 (-0.03, 0.02) 0.02 (-0.60, 0.49)
 Self-care global score, days a week -0.09 (-0.19, 0.07) 0.23 (0.17, 0.28) -0.10 (-0.22, 0.03) -0.01 (-0.05, 0.02) 0.13 (-0.30, 0.87)

a c path (total effect): The crude association between diabetes knowledge and glycemic control.

b c' path (direct effect): the association between diabetes knowledge and glycemic control, adjusted for mediator (self-care behavior)

c a path: association between diabetes knowledge and self-care behavior

d b path: association between self-care behavior and glycemic control

e Indirect effect (a*b): the indirect effect of the diabetes knowledge on glycemic control through self-care behavior

f Proportion effect mediated ((a*b)/c): the proportion of the total effect mediated through self-care behavior

g Confidence interval for indirect effects were calculated with bootstrapping (5000 samples)

h All analyses used linear regression models adjusted for age, sex, years since diagnosis, and SES