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. 2018 Jun 15;8:4. doi: 10.1038/s41387-017-0014-9

Table 3.

Association of famine exposure with eGFR and chronic kidney diseases using an equation especially for Asian

Fetal-exposed (1959–1962) Childhood-exposed (1949–1958) Adolescence/adult-exposed (1921–1948) Non-exposed (1963–1974)
eGFR
 Model 1 −1.39(−2.81, 0.03) −0.05(−1.84, 1.75) −0.13(−3.03, 2.78) Ref.
 Model 2 −1.45(−2.83, −0.07)* 0.32(−1.43, 2.07) 1.01(−1.82, 3.84) Ref.
 Model 3 −1.42(−2.80, −0.04)* 0.31(−1.45, 2.06) 0.94(−1.89, 3.76) Ref.
CKD
 Model 1 3.99(1.25, 12.74)* 2.43(0.77, 7.73) 2.90(0.72, 11.78) Ref.
 Model 2 3.91(1.22, 12.49)* 2.20(0.69, 7.07) 2.29(0.56, 9.47) Ref.
 Model 3 3.73(1.16, 11.94)* 2.03(0.63, 6.55) 2.06(0.50, 8.59) Ref.

Data are expressed as unstandardized coefficients (95%CI) in eGFR and odds ratios (95%CI) in chronic kidney disease. Linear regression analyses were used. eGFR, estimated glomerular filtration rate; CKD, chronic kidney diseases. CKD was defined as eGFR less than 60 mL/min per 1.73 m2

For a woman with Scr ≤ 0.7 mg/dl, eGFR = 151 × (Scr/0.7)−0.328 × (0.993)age; for a woman with Scr > 0.7 mg/dl, eGFR = 151 × (Scr/0.7)−1.210 × (0.993)age

Model 1 included age; Model 2 included age, rural/urban residence, economic status of areas; Model 3 included terms for model 2, BMI, diabetes and systolic blood pressure

* indicated P < 0.05.