This was a cross-sectional study with a sample of 259 pre-schoolers (171 with severe anaemia and 88 community children) aged 6–42 months conducted between August 2016 and June 2017 at Lira Regional Referral Hospital (LRRH) in Northern Uganda. Participants with SA were in-patients of an implementation research study on management and outcomes of severe anaemia in Ugandan children where SA was defined as Haemoglobin (Hb) ≤ 5 g/dL (20, 21). The healthy community children (CC) were siblings or neighbours of the enrolled children with SA who had been volunteered by the parents after invitation to participate in the study. They were examined at the time of enrolment to ensure that they did not have clinical pallor on clinical examination or a history of hospitalization for severe anaemia 6 months prior to enrolment.
Clinical And Demographic Assessment
Social economic status (SES) and demographic characteristics were obtained using a questionnaire of material possessions assessing housing quality, cooking resources, water accessibility and the presence of key amenities (radio, shoes for subject, mobile phone, poultry) in which lower SES scores have been associated with worse cognitive functioning in healthy Ugandan paediatric population under 5 years of age (27). Nutritional status was obtained by comparing physical indicators (height and weight) with the US CDC published norms and standardized z-scores (Epi Info 6, CDC 2000 Growth reference, Centers for Disease Control and Prevention, Atlanta, GA), to calculate height-for-age (HAZ), weight-for-age (WAZ) and weight-for-height z-scores (WHZ) (28). We followed internationally recognised cut-offs to consider children whose HAZ, WAZ, or WHZ fall more than two SDs below the international mean to be stunted, underweight or wasted, respectively (29).
Behavioural Assessment
Behavioural assessment was done using the Bayley III. It is one of the most commonly adapted comprehensive psychometric assessment tools used in research, in clinical practice, and to evaluate interventions as it assesses several developmental domains as a measure of early global development among very young children (24, 25, 30). The interviews with the caregivers were conducted in a quiet child-friendly room at the hospital. For uniformity and language concerns, trained assessors with Bachelor’s degrees in Psychology and fluent in Langi (a local dialect) administered the test to the child’s primary caregiver.
Assessments were conducted 14 days post discharge for the caregivers of the children with SA and at enrolment for the CCs or when appropriate for the caregiver to return to the hospital for assessment. We interviewed the primary caregiver of each child using the social–emotional and adaptive behaviour scales of the Bayley–III (24, 25). Majority of these were mothers, familiar with the child and could provide meaningful, accurate and complete response ratings of their child’s personal, adaptive and social skills necessary for daily living. The social-emotional scale assesses emotional and social development as well as sensory processing that influences a child’s emotional responses based on the Greenspan Social-Emotional Growth Chart (31). The scale provides a general indication of a child’s level of social-emotional development and presence or absence of sensory processing difficulties (32). The scale assesses the child’s functional, social and emotional milestones namely; self-regulation and interest in the world, relationship engagement, emotional engagement in an interactive and purposeful manner, communication with interactive emotional gestures, problem solving through interactive emotional gestures, communicating intentions and feelings using symbols and ideas, using symbols to express intentions, wishes or feelings more than basic needs, creating logical bridges between ideas and emotions (24, 31, 32).
Adaptive behaviour is a collection of skills (conceptual, social, and practical) for effective functioning that concern the way individuals meet their personal needs while meeting their demands in their environment (33, 34). The adaptive behaviour scale is derived from items for children 0–5 years of the Parent/Primary Caregiver Form of the Adaptive Behaviour Assessment Scale – Second Edition - ABAS-II (35). The scale assesses ten areas categorized in three broader domains: (1) conceptual (communication, functional academics, and self-direction); (2) social (social and leisure); and (3) practical (self-care, home or school living, community use, health and safety) (33, 36). A summation of the ten sub-scales composite scores was obtained to generate an overall adaptive behaviour score also known as the General Adaptive Composite (GAC) score.
Statistical Methods
Data were entered into Filemaker 11.0v3 (FileMaker Inc. US) database, and exported into IBM SPSS 23 for statistical analysis. For this study, raw scores for each scale were converted into an age and sex-specific standardized z-score, based on the scores of healthy community children (CC, n = 88). The z-scores were computed as (actual score – mean score for a child’s sex and age)/SD, where the mean score for a child’s sex and age and SD were computed by fitting a linear regression model to data for all CC children (37). Z-scores have a mean of 0 and SD 1 in the CC reference population. Multiple linear regression was used to compare z-scores on all the scales between the two groups after adjusting for weight-for-age z-score, social economic status, mother’s education, father’s education and father’s employment. We adjusted for multiple testing for the adaptive subscales using the Hommel’s procedure (38) and p < 0.05 was statistically significant.
Ethics
Approvals for this study were obtained from Makerere University School of Medicine Research Ethics Committee (REC Ref: 2015-045), Uganda National Council for Science and Technology (Ref: HS 2017) and the Lira Regional Referral Hospital administration. Participation in the study was voluntary and the caregivers of the study participants who took part in the study provided written informed consent.