Approximate Entropy is an extensively enforced metric to evaluate chaotic responses and irregularities of RR intervals sourced from an eletrocardiogram. However, to estimate their responses, it has one major problem – the accurate determination of tolerances and embedding dimensions. So, we aimed to overt this potential hazard by calculating numerous alternatives to detect their optimality in malnourished children.

We evaluated 70 subjects split equally: malnourished children and controls. To estimate autonomic modulation, the heart rate was measured lacking any physical, sensory or pharmacologic stimuli. In the time series attained, Approximate Entropy was computed for tolerance (0.1→0.5 in intervals of 0.1) and embedding dimension (1→5 in intervals of 1) and the statistical significances between the groups by their Cohen’s ds and Hedges’s gs were totalled.

The uppermost value of statistical significance accomplished for the effect sizes for any of the combinations was −0.2897 (Cohen’s ds) and −0.2865 (Hedges’s gs). This was achieved with embedding dimension = 5 and tolerance = 0.3.

Approximate Entropy was able to identify a reduction in chaotic response via malnourished children. The best values of embedding dimension and tolerance of the Approximate Entropy to identify malnourished children were, respectively, embedding dimension = 5 and embedding tolerance = 0.3. Nevertheless, Approximate Entropy is still an unreliable mathematical marker to regulate this.

To examine socio-economic inequalities in malnutrition among Colombian children and adolescents, and to assess the contribution of individual-, household- and community-level factors to those inequalities.

Cross-sectional data were used from two sources: 2005 Colombian Demographic and Health Survey and 2005 Colombian census. Malnutrition outcomes included stunting and overweight. Multilevel Poisson models were used to estimate the association between individual, household and contextual characteristics and malnutrition. Changes in prevalence ratios of the poorest quintile (v. richest) were compared to assess the contribution of different characteristics to inequalities in malnutrition.

Population-based, representative of Colombia.

Children and adolescents <18 years of age (n 30 779) from the Colombian Demographic and Health Survey.

Children and adolescents living in the poorest households were close to five times more likely to be stunted, while those from the richest households were 1·3–2·8 times more likely than their poorest counterparts to be overweight. Care practices and household characteristics, particularly mother's education, explained over one-third of socio-economic inequalities in stunting. The proportion explained by access to services was not negligible (between 6 % and 14 %). Access to sanitation was significantly associated with a lower prevalence of stunting for all age groups. Between 14 % and 32 % of socio-economic disparities in overweight were explained by maternal and household characteristics. Mother's overweight was positively associated with overweight of the child.

Socio-economic inequalities in stunting and overweight coexist among children and adolescents in Colombia. Malnutrition inequalities are largely explained by household characteristics, suggesting the need for targeted interventions.

To establish the operational feasibility and effectiveness of using locally available foods to prevent malnutrition and improve child growth in Kenyan children.

Quasi-experimental design with an intervention group of children in all villages in one region and a non-intervention group of children in all villages in an adjacent region. The intervention was the distribution of a monthly food ration for the index child, a separate family ration, and group education on appropriate complementary feeding and hygiene.

Rural villages in the arid lands of eastern Kenya with a high prevalence of child malnutrition.

All children in the target villages aged 6–20 months with weight-for-length Z-score (WHZ) greater than −2 at baseline.

Children in the intervention and non-intervention groups had similar baseline anthropometric measures. The caregivers in the intervention group confirmed that the intended amounts of food supplements were received and child nutrient intake improved. During the 7-month intervention period there were significant group differences in pre–post Z-score changes between the intervention and non-intervention groups for weight-for-age (0·82, P < 0·001) and weight-for-height (1·19, P < 0·001), but not for height-for-age (−0·20, P = 0·09), after adjusting for multiple covariates. Compared with the non-intervention group, the intervention group had a lower prevalence of wasting (0 % v. 8·9 %, P = 0·0002) and underweight (6·3 % v. 23·0 %, P < 0·0001). Infectious morbidity was similar in both groups.

The findings suggest that the distribution of locally available foods is operationally feasible and improves child weight gain and decreases acute malnutrition in Kenyan children.