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. 2016 Mar 31;48(1):20–30. doi: 10.3947/ic.2016.48.1.20

Table 3. Binary logistic regression model for prescription of malaria prophylaxis drug among travelers with high infection risk.

Selection variable Non-MPM group
(n = 85)a
MPM group
(n = 402)
Univariate Multivariate
OR 95% CI P-valueb OR 95% CI P-valuea
Sex
 Female 41 (24.0) 130 (76.0) 1 (Ref.) - - 1 (Ref.) - -
 Male 44 (13.9) 272 (86.1) 1.950 1.214-3.132 0.006 1.115 0.528-2.353 0.775
Age, year
 ≤40 67 (22.6) 230 (77.4) 1 (Ref.) - - 1 (Ref.) - -
 41-55 16 (11.3) 126 (88.7) 2.294 1.275-4.126 0.006 1.889 0.770-4.634 0.165
 ≥56 2 (4.2) 46 (95.8) 6.700 1.585-28.325 0.010 8.923 1.093-72.844 0.041
Travel duration, day
 ≤10 19 (8.3) 209 (91.7) 1 (Ref.) - - 1 (Ref.) - -
 ≥11 46 (24.0) 146 (76.0) 0.289 0.162-0.513 <0.001 0.407 0.198-0.873 0.015
Destination
 Other continentsc 68 (19.9) 273 (80.1) 1(Ref.) - - 1 (Ref.) - -
 Middle Africa 17 (11.6) 129 (88.4) 1.890 1.068-3.346 0.029 1.309 0.512-3.347 0.575
Purposed
 Leisure 12 (18.5) 53 (81.5) 1 (Ref.) - - 1 (Ref.) - -
 Business/professional activity 17 (5.7) 280 (94.3) 3.729 1.684-8.259 0.001 2.516 0.944-6.707 0.065
 Providing service 42 (58.3) 30 (41.7) 0.162 0.074-0.354 <0.001 0.136 0.051-0.365 <0.001

MPM, malaria prophylaxis medication; OR, odds ratio; CI, confidence interval.

aValue is number of cases and those in parenthesis represent % unless otherwise identified.

bP-values of the Hosmer-Lemeshow test statistics is 0.352. Therefore, this logistics model is well fit for the data.

cThis includes Western Africa (n = 217), East Africa (n = 111), and etc. group (n = 4).

dLeisure, Business/professional activity, and Providing service represent tourism/visiting friends·relatives, business/large activity·event/research·education, and providing non-medical service/providing medical service/missionary, respectively. 53 cases were excluded because travel purpose information was not available or uncategorizable.