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. 2016 Mar 16;16:272. doi: 10.1186/s12889-016-2947-7

Table 4.

Factors (three specific HBM constructs and PNPIA) associated with IA

Male students Female students
ORu (95 % CI) ORa (95 % CI) ORm (95 % CI) ORu (95 % CI) ORa (95 % CI) ORm (95 % CI)
Constructs of the HBM
 Perceived Susceptibility to IA 2.31 (2.14 ~ 2.50)** 2.27 (2.10 ~ 2.46)** N.A. 3.40 (3.05 ~ 3.79)** 3.41 (3.05 ~ 3.82)** N.A.
 Perceived Severity of IA 1.07 (1.01 ~ 1.13)* 1.14 (1.07 ~ 1.21)** N.A. 0.98 (0.91 ~ 1.06) 1.01 (0.94 ~ 1.10) N.A.
 Perceived Barriers (reducing Internet use) 1.26 (1.23 ~ 1.28)** 1.26 (1.23 ~ 1.29)** 1.15 (1.12 ~ 1.18)** 1.36 (1.32 ~ 1.40)** 1.36 (1.32 ~ 1.40)** 1.20 (1.16 ~ 1.24)**
 Perceived Social Benefits (Internet use) 1.20 (1.17 ~ 1.22)** 1.19 (1.17 ~ 1.22)** 1.10 (1.07 ~ 1.12)** 1.23 (1.20 ~ 1.26)** 1.23 (1.20 ~ 1.26)** 1.10 (1.07 ~ 1.13)**
 Cue to Action (reducing Internet use) 1.36 (1.31 ~ 1.42)** 1.36 (1.30 ~ 1.41)** N.A. 1.43 (1.36 ~ 1.50)** 1.47 (1.40 ~ 1.55)** N.A.
 Perceived Self-efficacy (reducing Internet use) 0.66 (0.64 ~ 0.69)** 0.66 (0.64 ~ 0.69)** 0.76 (0.73 ~ 0.80)** 0.56 (0.53 ~ 0.59)** 0.56 (0.53 ~ 0.59)** 0.67 (0.63 ~ 0.72)**
Perceived number of peers with IA (PNPIA)
 Nil 1.00 1.00 1.00 1.00 1.00 1.00
 Only a few 0.95 (0.73 ~ 1.22) 1.02 (0.78 ~ 1.33) 0.91 (0.69 ~ 1.21) 1.53 (1.12 ~ 2.09)** 1.50 (1.10 ~ 2.06)** 1.30 (0.92 ~ 1.82)
 Quite a number 2.78 (2.17 ~ 3.55)** 2.85 (2.21 ~ 3.67)** 2.07 (1.57 ~ 2.73)** 4.44 (3.24 ~ 6.08)** 4.35 (3.16 ~ 5.98)** 2.44 (1.72 ~ 3.45)**
 A large number 3.91 (2.98 ~ 5.13)** 3.90 (2.95 ~ 5.16)** 2.39 (1.75 ~ 3.25)** 9.03 (6.12 ~ 13.34)** 9.09 (6.11 ~ 13.54)** 3.56 (2.24 ~ 5.64)**

ORu: Univariate odds ratios

ORa: Adjusted odds ratios; adjusted for all significant variables listed in Table 2 plus the school variable

ORm: Multivariate odds ratios obtained by entering all the variables into the same logistic regression models, controlling for the significant background variables listed in Table 2 plus the school variable

*p value < 0.05; **p value < 0.01

N.A. The variables were not used to fit the multiple logistic regression model