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. 2020 Aug 4;112(Suppl 1):468S–477S. doi: 10.1093/ajcn/nqaa118

TABLE 1.

Age, household characteristics, and educational attainment of women of reproductive age by survey: Biomarkers Reflecting Inflammation and Nutritional Determinants of Anemia project1

Geographic grouping Country, survey year n Age,2 y Rural residence Low SES Low education3
Americas Mexico, 2012 3586 34.6 [22.3–41.1] 27.4 (25.7, 29.2) 38.3 (36.0, 40.7)
Mexico, 2006 3006 31.1 [22.9–39.9] 29.6 (25.1, 34.0) 47.3 (43.3, 51.4) 59.9 (55.2, 62.6)
Ecuador, 2012 7129 29.3 [21.4–37.9] 28.9 (18.6, 39.1) 38.9 (33.6, 44.3) 30.6 (27.8, 33.5)
USA, 2006 3150 34.5 [24.4–42.3] 26.1 (23.0, 29.3) 0.0 (0.0, 0.0)
Colombia, 2010 8809 27.6 [18.5–38.6] 22.2 (21.2, 23.2) 38.1 (36.7, 39.5) 51.1 (49.0, 53.2)
Europe/Eastern Mediterranean Azerbaijan, 2013 2642 31.0 [23.4–41.1] 53.8 (47.6, 60.1) 31.3 (27.8, 34.8) 5.1 (3.6, 6.7)
United Kingdom, 2014 876 35.7 [25.7–42.8] 36.1 (31.4, 40.9) 8.8 (6.1, 11.5)
Georgia, 2009 1671 29.2 [26.5–32.0] 49.7 (42.8, 56.6) 19.3 (15.7, 22.8) 4.7 (3.2, 6.2)
Afghanistan, 2013 568 29.0 [24.1–34.3] 7.2 (3.6, 10.9)
Pakistan, 2011 9029 29.7 [25.7–34.6] 68.9 (66.1, 71.7) 42.5 (40.2, 44.8) 71.2 (69.3, 73.0)
Africa Cameroon, 2009 748 26.0 [22.0–31.0] 41.5 (31.5, 51.6) 42.6 (35.3, 50.0) 66.4 (62.5, 70.3)
Côte d'Ivoire, 2007 816 26.1 [20.9–32.0] 46.8 (42.9, 50.8) 38.8 (32.7, 44.9) 84.4 (80.8, 88.1)
Malawi, 2016 758 25.3 [19.6–35.5] 91.0 (83.5, 98.4) 42.6 (35.2, 50.1) 79.6 (73.8, 85.5)
Southeast Asia/Western Pacific Papua New Guinea, 2005 738 27.7 [20.7–35.3] 79.1 (69.3, 88.9) 39.5 (27.7, 51.3) 72.0 (66.6, 77.4)
Cambodia, 2014 419 29.8 [25.1–33.3] 86.9 (83.6, 90.2) 43.7 (35.6, 51.7) 69.0 (64.1, 73.9)
Laos, 2006 810 28.3 [20.0–36.8] 68.0 (54.2, 81.7) 38.8 (28.3, 49.4) 65.0 (55.3, 74.7)
Vietnam, 2010 1480 31.9 [24.1–40.1] 51.4 (49.5, 53.2)
1

Values represent percentages (95% CIs) unless otherwise indicated; estimates account for cluster, strata, and weight. —, variable (or category) unavailable. SES, socioeconomic status.

2

Age shown as medians [IQRs].

3

Education categorized as binary for modeling purposes: low represents none or primary attained, higher education (secondary or beyond) not shown.