Table 3

Summary of studies reporting on the risk factors of lower limb cellulitis in Africa

Surname of author, publication yearCountryRegionAreaStudy designStudy settingData collectionRandom samplingMale (%)Mean/
median age*
Age range*Sample sizeRisk factors of cellulitis (AOR, 95% CI)
Mokni, 200620 TunisiaNorthUrbanCase controlHospital 
based
ProspectiveNo76.345.4 > 18322 
(cases=114;
control=208)
Cutaneous barrier disruption (13.6;  6.3 to 31); leg oedema (7.0; 1.3 to 38)
Njim, 201721 CameroonCentralUrbanCase controlHospital 
based
ProspectiveNo34.452 > 15183
(cases=61;
controls=122)
Obesity (4.7: 1.5 to 14.7); history of skin disruption (12.4; 3.9 to 39.1); presence of toe-web intertrigo (51.4; 11.7 to 225.6)
Pitché, 201522 SSASSAUrban and ruralCohortHospital 
based
ProspectiveNo38.742.1>151092
(cases=364;
control=728)
Obesity (2.8; 2.1 to 3.8); lymphoedema (3.9; 2.2 to 6.9); cosmetic depigmentation practices (4.3; 2.4 to 7.8); traumatic wound (37.9; 24.9 to 57.7); toe-web intertrigo (37.9; 22.3 to 64.4)
  • *Age in years.

  • SSA: Togo, Senegal, Mali, Ivory Coast, Guinea Conakry, Burkina Faso, Cameroon.

  • AOR, adjusted OR; NR, not reported; SSA, Sub-Saharan Africa.