Anaemia prevalence and determinants in under 5 years children: findings of a cross-sectional population-based study in Sudan.

BACKGROUND: Early childhood is an age at risk of anaemia and its deleterious consequences. In Sudan, there is limited evidence on the prevalence and determinant of anaemia in under-five children. This study was conducted in Sudan to assess the prevalence of anaemia in children and to identify its determinants. METHODS: We conducted a household survey involving children aged 6 months to 5 years in November 2016. A representative population was sampled across rural, urban and camps settlements across 18 states in Sudan. We used a pre-designed questionnaire data collection. Haemoglobin (Hb) level and malaria infection were checked. In this cross-sectional study, we dichotomized the outcome variable and performed logistic regression analyses. RESULTS: A total of 3094 children under 5 years enrolled in the study, 1566 (50.6%) of them were female and 690 (22.3%) of them were under 2 years old. Anaemia prevalence in the whole cohort (6 months - < 5 years) was 49.4% and the mean haemoglobin concentration was 108.1 (standard deviation (SD): 15.4) g/L. The prevalence in younger (6 months - < 2 years) children (61.9%) was higher than in older (2 - < 5 years) children (45.6%) (p < 0.001). Severe anaemia (Hb < 70 g/L) prevalence in the whole population was 1.6%. Age (Odds ratio (OR) 2.25, 95% confidence interval (95%CI) 1.75-2.90, p < 0.001), type of place of residence (OR 0.37, 95%CI 0.18-0.74, p = 0.005), maternal anaemia (OR 1.74, 95%CI 1.39-2.17, p < 0.001), and malaria infection (OR 2.82, 95%CI 1.56-5.11, p < 0.001) were the identified predictors of anaemia in the whole cohort. In younger children, only the economic class was an anaemia predictor, with a lower anaemia risk among the rich wealth class (OR 2.70, 95%CI 1.29-5.62, p = 0.008). However, in older children, three anaemia predictors were identified. These are maternal anaemia (OR 1.79, 95%CI 1.40-2.28, < 0.001), malaria infection (OR 2.77, 95%CI 1.48-5.21, p = 0.002), and type of residency (where camps' residents were less likely affected with anaemia than rural children (OR 0.38, 95%CI 0.17-0.87, p = 0.022)). CONCLUSIONS: About half of the under-5 children in Sudan are anaemic, with worse prevalence in younger children. Efforts targeted at improving socio-economic status, decreasing maternal anaemia and childhood malaria infection may mitigate this alarming trend.

Prevalence and determinants of anaemia in women of reproductive age in Sudan: analysis of a cross-sectional household survey.

BACKGROUND: Anaemia is a global health problem and women in reproductive age (WRA) are amongst the most affected population. Its consequences include low birth weight and maternal mortality. This study aimed to assess the prevalence of anaemia and to identify its determinants in Sudanese women in reproductive age. METHODS: A population-based cross-sectional study was conducted in Sudan in 2016. A multi-stage stratified cluster sampling design was executed with consideration of rural population, urban population, and internally displaced persons/refugees camps residents. All women in reproductive age (15-49 years), classified by pregnancy status, in the targeted households were surveyed and personal characteristic data were collected. Their haemoglobin level and malaria infection (using rapid diagnostic test, RDT) were assessed. The World Health Organization (WHO) haemoglobin level cut-off for defining anaemia and severe anaemia in pregnant and non-pregnant women was used. Logistic regression analyses were performed. RESULTS: A total of 4271 women (WRA) of which 421 (9.9%) pregnant women (PW) were included in the study. The overall anaemia prevalence in WRA was 35.6%. It was 36.0 and 35.5% in PW and non-pregnant women (NPW), respectively. The average haemoglobin level was found to be 113.9 g/L (SD 16.3) and 123.2 g/L (SD 15.7) for PW and NPW respectively. Severe anaemia prevalence was 1.2% in each group. In the logistic regression model, anaemia was associated with malaria infection in PW (aOR 4.100, 95%CI 1.523-11.039, p = 0.003), NPW (aOR 2.776, 95%CI 1.889-4.080, p < 0.001), and WRA (aOR 2.885, 95%CI 2.021-4.119, p < 0.001). Other identified determinants of anaemia in NPW was living in camps (aOR 1.499, 95%CI 1.115-2.017, p = 0.007) and in WRA was being in the poorest economic class (aOR 1.436, 95%CI 1.065-1.936, p = 0.018). CONCLUSIONS: Anaemia is a public health problem in Sudan. The study supported the association between malaria infection and anaemia, but not with low and moderate malaria transmission areas. Resources need to be allocated for all anaemic populations with special attention for the populations in most need and interventions need to be implemented based on local variations. Malaria control interventions, specifically case management, may have a major impact in reducing anaemia prevalence in low to moderate malaria transmission areas.