Table 1.
Created variables and specifications.
Fig 1.
Number of children recruited in the different years.
Fig 2.
Relationship between age and length/height-for-age Z-score and between length/height-for-age difference and age.
Table 2.
Association of stunting and height deficit prevalences with age.
Fig 3.
Weight-for height Z-score and mid-upper arm circumference based-wasting prevalence across the age groups for children included in the pooled analysis.
Table 3.
Association between the wasting and linear growth indicators among children included in the pooling analysis.
(N = 1393).
Fig 4.
Quadrant chart of change in length/height-for-age and prevalence of stunting during study participation.
Fig 5.
Mediation analysis diagram of the association between wasting indicators and linear catch up growth.
WHZ = Weight-for-Height Z-score, MUAC = Mid-Upper Arm Circumference; Height catch-up = Positive (>0 cm) Height-for-Age Difference (HAD) change over the follow up period.
Fig 6.
Mediation analysis diagram of the association between wasting indicators and linear catch-up growth adjusting for age, baseline height-for-age difference at recruitment, and follow up time.
WHZ = Weight-for-Height Z-score, MUAC = Mid-Upper Arm Circumference; HAD = Height-for-Age Difference; Height catch-up = Positive (>0 cm) Height-for-Age Difference change over the follow-up period.
Table 4.
Direct, indirect, and total effects of the path model variables in Figs 5 and 6 estimated by linear regression using the maximum likelihood approach.