Table 3.
Hypertension prevalence and risks of three exposed cohorts in severely and less severely affected areas compared with non-exposed cohort
Non-exposed cohort | Fetal-exposed cohort | Infant-exposed cohort | Preschool-exposed cohort | |
---|---|---|---|---|
Severely affected famine area | ||||
Prevalence (%) | 19.4 | 20.8 | 30.5 | 25.6 |
P a | 0.998 | 0.011 | 0.059 | |
Odds ratio (95 % CI)a | Ref. | 1.00(0.39–2.57) | 2.12(1.19–3.79) | 1.73(0.98–4.06) |
P b | 0.989 | 0.012 | 0.069 | |
Odds ratio (95 % CI)b | Ref. | 0.99(0.39–2.56) | 2.11(1.18–3.77) | 1.70(0.96–3.01) |
Less severely affected famine area | ||||
Prevalence (%) | 18.3 | 20.6 | 26.8 | 20.8 |
P a | 0.743 | 0.261 | 0.796 | |
Odds ratio (95 % CI)a | Ref. | 0.88(0.37–2.03) | 1.38(0.79–2.41) | 1.17(0.74–1.84) |
P b | 0.763 | 0.248 | 0.906 | |
Odds ratio (95 % CI)b | Ref. | 0.88(0.37–2.06) | 1.40(0.79–2.46) | 0.97(0.54–1.72) |
P for interaction between area and cohorta | Ref. | 0.459 | 0.001 | 0.144 |
P for interaction between area and cohortb | Ref. | 0.901 | 0.009 | 0.062 |
All the analysis was adjusted for age
aEvaluating the overall risk of three exposed cohort with non-exposed as reference by single variance binary logistics regression model
bEvaluating the risk of three exposed cohorts with non-exposed as reference by multi-variance binary logistics regression model after adjusted for gender, smoking and drinking