title: Anaemia among adults in Kassala, Eastern Sudan.
abstract: BACKGROUND
  The increased heterogeneity in the distribution of social and biological risk factors makes the epidemiology of anaemia a real challenge. A cross-sectional study was conducted at Kassala, Eastern Sudan during the period of January-March 2011 to investigate the prevalence and predictors of anaemia among adults (> 15 years old).
  
  
  RESULTS
  Out of 646, 234 (36.2%) adults had anaemia; 68 (10.5%); 129 (20.0%) and 37 (5.7%) had mild, moderate and severe anaemia, respectively. In logistic regression analyses, age (OR = 1.0, CI = 0.9-1, P = 0.7), rural vs. urban residency (OR = 0.9, CI = 0.7-1.3, P = 0.9), female vs. male gender (OR = 0.8, CI = 0.6-1.1, P = 0.3), educational level ≥ secondary level vs. < secondary level (OR = 1.0, CI = 0.6-1.6, P = 0.8) and Hudandawa vs. non-Hudandawa ethnicity (OR = 0.8, CI = 0.6-1, P = 0.1) were not associated with anaemia.
  
  
  CONCLUSIONS
  There was a high prevalence of anaemia in this setting, anaemia affected adults regardless to their age, sex and educational level. Therefore, anaemia is needed to be screened for routinely and supplements have to be employed in this setting.
authors.affiliation: Faculty of Medicine, Kassala University, Kassala, PO Box 496, Sudan.
authors.forename: Tajeldin M
authors.initials: TM
authors.lastname: Abdallah
authors.forename: Ishag
authors.initials: I
authors.lastname: Adam
authors.forename: Mutaz A
authors.initials: MA
authors.lastname: Abdelhadi
authors.forename: Mohammed F
authors.initials: MF
authors.lastname: Siddig
authors.forename: AbdelAziem A
authors.initials: AA
authors.lastname: Ali
mesh_terms: D000328:Adult; D000740:Anemia / Q000453:epidemiology* / Q000473:pathology; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D015995:Prevalence; D012424:Rural Population / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D013397:Sudan / Q000453:epidemiology; D014505:Urban Population / Q000706:statistics & numerical data*