Table 2. Regression parameters, confidence intervals and p-value using a Gaussian GLMM, Kazaure LGA, Jigawa State, Nigeria.
Univariate models | Multivariate model | |||||
Estimate | (95% CI) | P | Estimate | (95% CI) | P | |
Absolute MUAC* | (0.006; 0.124) | 0.030 | ||||
Surveillance visits per cluster | 0.065 | 0.060 | (0.005; 0.114) | 0.031 | ||
Sex (boys vs. girls) | 0.743 | (0.328; 1.158) | <0.001 | 0.989 | (0.653; 1.325) | <0.001 |
Age (months) | 0.455 | (0.445; 0.465) | <0.001 | 0.439 | (0.429; 0.449) | <0.001 |
Ethnic group (Hausa vs. Fulani) | 1.784 | (1.118; 2.451) | <0.001 | 2.221 | (1.624; 2.817) | <0.001 |
Seasonal pattern (cos) | −0.312 | (−0.744; 0.118) | 0.155 | −0.228 | (−0.607; 0.151) | 0.238 |
Seasonal pattern (sin) | −0.568 | (−1.010; −0.127) | 0.012 | −0.619 | (−1.005; −0.234) | 0.002 |
Univariate and multivariate analysis (N = 16,453).
Models take the absolute MUAC as the dependent variable with cluster and number of surveillance visit per cluster introduced as random-intercepts.