Table 7.
Associations of early life famine exposure and adulthood anthropometric measurements stratified by sex and residency, multivariable linear regression analysis, North Wollo Zone, Raya Kobo district, Northeast Ethiopia, 2019 (n = 1384)
Heighta | Famine exposure status | ||||
---|---|---|---|---|---|
Early life exposed | Prenatal exposed | post-natal exposed | Adolescence Exposed | Non-exposed | |
Male | −4.67 (−6.36, −2.97) | −1.44 (−2.86, −0.03) | −1.42 (−3.05, 0.21) | −1.1 (− 1.30, −4.83) | Ref. |
Female | − 0.16 (− 4.56, 4.24) | − 2.73 (− 4.45, − 1.02) | − 2.30 (− 4.05, − 0.53) | − 1.60 (− 3.05, 4.16) | Ref. |
Urban | −0.36 (− 1.56, 0.82) | 0.07 (− 3.82, − 3.97) | 0.98 (− 2.42, 0.45) | 0.45 (− 6.04, 5.13) | Ref. |
Rural | −4.24 (− 6.39, − 2.09) | −2.47 (− 4.63,0.31) | − 3.33 (−5.43, − 1.24) | −2.28 (−9.15, 4.72) | Ref. |
Waist to height ratio (WHtR) | |||||
Male | 0.02 (0.02,0.04) | 0.02 (0.01, 0.03) | 0.02 (0.01, 0.04) | 0.07 (0.03, 0.04) | Ref. |
Female | 0.07(− 0.08,0.02) | 0.02 (0.04 0.05) | 0.02 (0.02, 0.05) | 0.02 (0.03, 0.04) | Ref. |
Urban | 0.03 (0.02, 0.05) | 0.03 (0.03,0.054) | 0.10 (−0.20, 0.02) | 0.03 (− 0.09, 0.03) | Ref. |
Rural | 0.07 (−0.06, 0.02) | 0.03 (0.02, 0.03) | 0.07(−0.12, 0.05) | 0.05 (−0.05, 0.05) | Ref. |
Body mass index | |||||
Male | −0.15 (− 0.93, 0.63) | −0.20 (− 1.20, 0.80) | 0.20 (−2.4, 2.7) | − 1.36 (− 2.27, 0.52) | Ref. |
Female | 0.23 (− 0.62, 1.07) | 0.84 (− 0.19, 1.88) | 0.16 (− 0.89, 1.22) | 0.16(− 0.89, 1.22) | Ref. |
Urban | −0.34(− 1.05, 0.37) | −0.07(− 0.99, 0.84) | −0.58(− 1.42, 0.38) | −0.37(− 1.15, 0.41) | Ref. |
Rural | 0.56(−0.44, 1.56) | 1.06 (− 0.25, 2.38) | 0.65 (− 0.60, 1.92) | 0.02 (− 1.01, 1.04) | Ref. |
All β-coefficients are related to the non-exposed groups, Ref—Reference
All analyses were adjusted for age, educational status, wealth index, dietary pattern, increased blood pressure, physical activity, cigarette smoking, alcohol drinking, history of chronic diseases and effect modifiers
aAdult height adjusted for sex, age, residence, educational status, wealth index and effect modifiers