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. 2020 May 5;3(2):e157. doi: 10.1002/hsr2.157

TABLE 4.

Association between UO and the participants' self‐management

(n = 450) Regular self‐monitoring of body weight a Wound checking a Regular self‐monitoring of blood sugar a
OR [95% CI] P‐value OR [95% CI] P‐value OR [95% CI] P‐value
Model 1
UO 0.64 [0.37; 1.12] .121 1.06 [0.61; 1.87] .827 1.13 [0.62; 2.04] .682
Self‐view
Average 0.98 [0.51; 1.87] .941 0.75 [0.39; 1.44] .394 1.14 [0.58; 2.30] .707
Positive 1.70 [0.70; 4.11] .236 0.94 [0.39; 2.28] .898 1.20 [0.48; 3.07] .697
Model 2
UO 0.66 [0.32; 1.35] .26 0.68 [0.32; 1.47] .334 0.71 [0.29; 1.71] .451
Self‐view
Average 1.07 [0.52; 2.16] .861 1.04 [0.50; 2.18] .911 2.03 [0.87; 4.97] .11
Positive 1.78 [0.61; 5.24] .292 1.98 [0.63; 6.32] .243 4.18 [1.11; 16.48] .037
Regular self‐monitoring of blood pressure a Keeping a diabetes diary a Having a diet plan a Sum‐score b
OR [95% CI] P‐value OR [95% CI] P‐value OR [95% CI] P‐value β [95% CI] P‐value
Model 1
UO 0.58 [0.33; 1.03] .064 1.20 [0.63; 2.21] .568 0.80 [0.22; 2.32] .708 −0.26 [−0.72; 0.20] .273
Self‐view
Average 1.12 [0.59; 2.15] .729 1.00 [0.48; 2.21] .995 0.64 [0.23; 2.05] .407 0.00 [−0.53; 0.53] .999
Positive 2.15 [0.89; 5.23] .091 0.80 [0.30; 2.24] .665 1.13 [0.25; 6.10] .878 0.37 [−0.34; 1.09] .308
Model 2
UO 0.57 [0.27; 1.18] .133 0.73 [0.29; 1.76] .481 0.35 [0.08; 1.30] .136 −0.45 [−1.00; 0.10] .107
Self‐view
Average 1.32 [0.64; 2.73] .457 1.63 [0.66; 4.29] .303 0.99 [0.32; 3.60] .992 0.26 [−0.26; 0.79] .324
Positive 2.86 [0.95; 8.73] .063 2.25 [0.58; 9.26] .249 3.71 [0.60; 27.42] .176 0.94 [0.12; 1.76] .025

Note: Model 1 included the variables UO and self‐view; Model 2 included UO, self‐view, age, sex, BMI, blood pressure treatment status, systolic blood pressure, smoking status, education, participation in a diabetes education program, treatment with insulin, and history of MI. In the analysis for Table 4, we only included individuals with an average or comparatively high Framingham risk (n = 450).

Abbreviation: UO, unrealistic comparative optimism.

a

Binary logistic regression analysis.

b

Linear regression analysis.