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Table 3 Binary logistic regression model showing factors that predicted an increase in weight-for-age z-score between the first and last attendance on the programme

From: Understanding why child welfare clinic attendance and growth of children in the nutrition surveillance programme is below target: lessons learnt from a mixed methods study in Ghana

Variables n % Adjusted regression model
   AOR 95% CI P value
Programme (Facility-based) 116 47.3 Ref   
 Community-based 104 52.7 1.27 0.70–2.33 0.434
Age at registration (> 4 weeks) 148 67.3 Ref   
 Neonatal (≤4 weeks) 72 32.7 0.75 0.39–1.44 0.382
Sex (male) 110 50.0 Ref   
 Female 110 50.0 1.97 1.07–3.62 0.029
Underweight at baseline (No) 188 85.5 Ref   
 Yes 32 14.5 11.07 3.95–31.03 < 0.0001
Annual attendance (< 6 visits) 117 53.2 Ref   
  ≥ 6 visits 103 46.8 2.15 1.14–4.07 0.018
Attendance (< 9 annual visits) 190 86.4 Ref   
  ≥ 9 annual visits 30 13.6 4.65 1.44–15.06 0.010
  1. Hosmer-Lemeshow goodness-of-fit test, Chi-square = 10.192, p = 0.252. Cox and Snell R2 = 0.155, Nagelkerke R2 = 0.210