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. 2018 Nov 21;9(6):726–740. doi: 10.1093/advances/nmy048

TABLE 2.

Subgroup analysis for phytoestrogen intake and risk of T2D1

Subgroups by study characteristics Number of studies Participants, n T2D cases, n RR (95% CI) P-heterogeneity2
Study population
 Only women 7 183,919 8117 0.91 (0.83-0.99) 0.65
 Men and women 3 28,927 1604 0.88 (0.79, 0.98)
Study design
 Nested case-control 2 7950 425 0.97 (0.78, 1.20) 0.45
 Cohort 7 204,896 9296 0.89 (0.83, 0.96)
Type of phytoestrogen
 Isoflavones 5 106,006 3428 0.86 (0.77, 0.98) 0.30
 Flavonoids 4 106,840 6293 0.93 (0.86, 1.01)
 Genistein 3 39,964 2232 0.87 (0.73, 1.05) NA
 Daidzein 3 39,964 2232 0.89 (0.84, 0.95) NA
 Soy products 3 72,997 1304 0.81 (0.68, 0.97) NA
Location
 Asia 4 73,997 1621 0.83 (0.87, 0.98) 0.05
 Other 5 138,849 8100 0.93 (0.88, 0.98)
Difference between phytoestrogen intake in
highest vs. lowest quantile
 Median or less (5.33-fold) 5 123,123 3461 0.88 (0.78, 1.00) 0.49
 Higher than median (5.33-fold) 4 89,723 6260 0.92 (0.87, 0.999)
BMI, kg/m2
 Median or less (≤25.89) 5 80,551 4146 0.91 (0.86, 0.97) 0.70
 Higher than median (>25.89) 4 132,295 5575 0.88 (0.78, 1.00)
Age
 Median or less (≤53.87) 5 133,736 4131 0.88 (0.79, 0.98) 0.48
 Higher than median (>53.87) 4 79,110 5590 0.92 (0.87, 0.98)

1“Study population” indicates studies conducted only in women: investigation performed only among female population, after excluding studies [Muller et al. (14), Zamora-Ros et al. (15) and Knekt et al. (52)] that reported overall results for male and female subjects but stated that they tested the interaction term with sex. “Study design” indicates that only prospective cohort and nested case-control studies were included. “Type of phytoestrogen”: “Soy products” estimates were pooled together for soy beans, soy milk, soy flour, and other soy products. “Location”: “Asia” (South Korea, Japan, and 2 studies from China; “Other”: Europe and 2 studies from the United States). NA, not applicable; T2D, type 2 diabetes.

2 P values for heterogeneity were evaluated by using random-effects meta-regression. P values were calculated between 2 or 3 groups that were considered to be a source of heterogeneity; the groups are indicated in the table (if >5 studies were included).