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Table 1 General characteristics of 708 respondents traveling to a destination with a high risk of malaria

From: The knowledge, attitudes and practices of wintersun vacationers to the Gambia toward prevention of malaria: is it really that bad?

  Gambia Other high risk destinations P-value2
  N % N %  
  373 52.7 335 47.3  
Sex    
  Male 182 48.81 176 52.51 n.s.
  Female 186 49.9 159 47.5  
Age      
  Age > 60 yrs 79 21.2 49 14.6 n.s.
Travel duration    
  < 7 days 80 21.4 59 17.6 <0.001
  8 - 14 days 165 44.2 77 23.0  
  15 - 28 days 80 21.4 87 26.0  
  > 28 days 18 4.8 69 20.6  
Travel health preparation    
Pre-travel information      n.s.
  No 39 10.5 69 20.6  
  Yes 334 89.5 266 79.4  
Information source   0.037
  Travel clinic/publich health service 216 57.9 145 43.3  
  Company doctor 4 1.1 13 3.9  
  General practitioner/pharmacy 43 11.5 29 8.7  
  Other 17 4.6 23 6.9  
Time frame information - departure      n.s.
  < 7 days 45 12.1 34 10.1  
  8 - 14 days 66 17.7 49 14.6  
  15 - 28 days 83 22.3 76 22.7  
  > 28 days 140 37.5 107 31.9  
Purpose for travel      <0.001
  Tourist 271 72.7 110 32.8  
  Business 26 7.0 76 22.7  
  VFR 46 12.3 108 32.2  
  Missionary/volunteer 16 4.3 27 8.1  
  Research 6 1.6 7 2.1  
  Other 5 1.3 5 1.5  
Travel profile      <0.001
  Solo traveller 69 18.5 140 41.8  
  Travel with spouse 209 56.0 77 23.0  
  Travel with children 32 8.6 36 10.7  
  Travel with group 19 5.1 28 8.4  
  Travel with friends 26 7.0 17 5.1  
  Other 11 2.9 18 5.4  
  Preventive measures      
  Insectrepellents 323 86.6 178 53.1 <0.001
  Bednet 74 19.8 64 19.1 0.027
  Chemoprophylaxis 323 86.6 175 52.2 <0.001
  1. 1all data are given as a percentage of either the total number of respondents travelling to The Gambia (i.e., n = 373) or as a percentage of the total number of respondents travelling to an other high risk destination (i.e., n = 335). Values do not always add up to 100% due to missing values; 2P-value for comparison of travellers to The Gambia vs other high risk destinations, adjusted for year of survey through multiple logistic regression analysis.