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Table 2 Anemia prevalence and mean hemoglobin levels of Indigenous women according to household characteristics. First National Survey of Indigenous People’s Health and Nutrition. Brazil, 2008–2009

From: Anemia among indigenous women in Brazil: findings from the First National Survey of Indigenous People’s Health and Nutrition

   Anemia Prevalence Hemoglobin (g/dL)
  na OR (95 % CI) p-value* β (95 % CI) p-value*
Housing condition index    0.001   <0.001
  1st tertile 2245 Reference (1)   Reference (0)  
  2nd tertile 2160 0.78 (0.62; 0.98)   0.27 (0.12; 0.43)  
  3rd tertile 2188 0.63 (0.49; 0.80)   0.43 (0.24; 0.62)  
Sanitation index    0.145   0.012
  1st tertile 2995 Reference (1)   Reference (0)  
  2nd tertile 1768 0.92 (0.71; 1.20)   -0.02 (-0.22; 0.18)  
  3rd tertile 1805 0.79 (0.63; 1.01)   0.25 (0.04; 0.46)  
Purchased foods index    <0.001   <0.001
  1st tertile 2360 Reference (1)   Reference (0)  
  2nd tertile 2768 0.90 (0.77; 1.04)   0.11 (-0.02; 0.24)  
  3rd tertile 1502 0.61 (0.50; 0.75)   0.42 (0.26; 0.57)  
Wild foods index    <0.001   <0.001
  1st tertile 2612 Reference (1)   Reference (0)  
  2nd tertile 2873 1.48 (1.26; 1.73)   -0.26 (-0.39; -0.13)  
  3rd tertile 1145 1.80 (1.37; 2.37)   -0.49 (-0.71; -0.27)  
Garden produced index    <0.001   <0.001
  1st tertile 2199 Reference (1)   Reference (0)  
  2nd tertile 2185 0.68 (0.58; 0.79)   0.31 (0.18; 0.43)  
  3rd tertile 2246 0.94 (0.79; 1.13)   0.09 (-0.05; 0.24)  
Household goods index    <0.001   <0.001
  1st tertile 2234 Reference (1)   Reference (0)  
  2nd tertile 2191 0.76 (0.65; 0.89)   0.23 (0.11; 0.35)  
  3rd tertile 2226 0.58 (0.47; 0.71)   0.46 (0.30; 0.63)  
Regular household income    0.217   0.195
  Yes 3134 Reference (1)   Reference (0)  
  No 3499 1.08 (0.95; 1.23)   -0.07 (-0.16; 0.03)  
Food shortages    0.026   0.001
  Yes 4673 Reference (1)   Reference (0)  
  No 1908 0.83 (0.71; 0.98)   0.16 (0.06; 0.27)  
  1. OR odds ratio, CI confidence interval
  2. *Wald Test of heterogeneity
  3. aMaximum N for each category, which may vary between variables due to missing data