Characterising school-age health and function in rural Zimbabwe using the SAHARAN toolbox
Authors: Piper Joe D , Mazhanga Clever , Mapako Gloria , Mapurisa Idah , Mashedze Tsitsi , Munyama Eunice , Mwapaura Marian , Chidhanguro Dzivaidzo , Mpofu Eddington , Mutasa Batsirai , Gladstone Melissa J , Wells Jonathan C , Langhaug Lisa F , Tavengwa Naume V , Ntozini Robert , Prendergast Andrew J 
Published: September 2021

Introduction

School-age health, growth and development are poorly characterised in low- and middle-income countries. We developed the School-Age Health, Activity, Resilience, Anthropometry and Neurocognitive (SAHARAN) toolbox to measure growth, cognitive and physical function in rural Zimbabwe.

Methods

The SAHARAN toolbox was developed using a stepwise approach, with tool selection based on COSMIN principles. Growth was measured with anthropometry, skinfold thicknesses and bioimpedance analysis to obtain lean mass index (LMI) and phase angle. Cognition was assessed using a fine motor finger tapping task, school achievement test (SAT), and the Kaufmann Assessment Battery for Children (KABC-2) to determine the mental processing index (MPI). Physical function combined grip strength, broad jump and the 20m shuttle run test to produce a total physical score (TPS). A detailed caregiver questionnaire was performed in parallel.

Results

80 Zimbabwean children with mean (SD) age 7.6 (0.2) years had mean height-for-age (HAZ) and weight-for-age Z-scores (WAZ) of −0.63 (0.81) and −0.55 (0.85), respectively. For growth measures, LMI and total skinfold thicknesses were highly related to both WAZ and BMI Z-score, but not to HAZ. For physical function, TPS was associated with unit rises in HAZ (1.29, 95%CI 0.75,1.82, p<0.001), and LMI (0.50, 95%CI 0.16,0.83, p=0.004), but not skinfold thicknesses. For cognition, the SAT was highly associated with unit increases in the MPI (0.9 marks, 95%CI 0.4,1.3, p<0.001) and a child socioemotional questionnaire (8.2 marks, 95%CI 2.9,13.5, p=0.003). Phase angle was associated with 3.5 seconds quicker time to complete the finger tapping task (95%CI 0.6,6.4, p=0.02). No child outcomes were associated with socioeconomic status, nurturing, discipline, food and water insecurity, or household adversity.

Conclusions

We found clear associations between growth, height-adjusted lean mass and physical function, but not cognitive function, in a cohort of Zimbabwean children. The SAHARAN toolbox could be deployed to characterise school-age growth, development and function in sub-Saharan Africa.

What is already known?

There are a lack of available tools to measure school-age health, growth, physical function and cognitive function together, particularly in low-resource settings.

Early-life quality of growth is associated with future chronic disease risk.

What are the new findings?

School-age markers of growth and lean mass (but not fat mass) were strongly associated with physical function.

Cognitive function was related to schooling and to the child’s perceived socioemotional score.

What do the new findings imply?

The SAHARAN toolbox enables an integrated assessment of school-age health, growth, physical and cognitive function.

The quality of early-life growth and relative lean mass is important at school-age, since it is associated with better physical function and reduced chronic disease risk.