Child Care Center Hand Hygiene Programs' Cost-Effectiveness in Preventing Respiratory Infections.

BACKGROUND: We previously demonstrated that a hand hygiene program, including hand sanitizer and educational measures, for day care center (DCC) staff, children, and parents was more effective than a soap-and-water program, with initial observation, in preventing respiratory infections (RIs) in children attending DCCs. We analyzed the cost-effectiveness of these programs in preventing RIs. METHODS: A cluster, randomized, controlled and open study of 911 children aged 0 to 3 years, attending 24 DCCs in Almeria. Two intervention groups of DCC-families performed educational measures and hand hygiene, one with soap-and-water (SWG) and another with hand sanitizer (HSG). The control group (CG) followed usual hand-washing procedures. RI episodes, including symptoms, treatments, medical contacts, complementary analyses, and DCC absenteeism days, were reported by parents. A Bayesian cost-effectiveness model was developed. RESULTS: There were 5201 RI episodes registered. The adjusted mean societal costs of RIs per child per study period were CG: €522.25 (95% confidence interval [CI]: 437.10 to 622.46); HSG: €374.53 (95% CI: 314.90 to 443.07); SWG: €494.51 (95% CI: 419.21 to 585.27). The indirect costs constituted between 35.7% to 43.6% of the total costs. Children belonging to the HSG had an average of 1.39 fewer RI episodes than the CG and 0.93 less than the SWG. It represents a saving of societal cost mean per child per study period of €147.72 and €119.15, respectively. The HSG intervention was dominant versus SWG and CG. CONCLUSIONS: Hand hygiene programs that include hand sanitizer and educational measures for DCC staff, children, and parents are more effective and cost less than a program with soap and water and initial observation in children attending DCCs.

Blood Lead Level in a Paediatric Population of South-Eastern Spain and Associated Risk Factors.

OBJECTIVE: To determine blood lead levels (BLL) in a healthy paediatric population and to analyse related sociodemographic, dietary and haematological factors. METHODS: A cross-sectional study was made of 1427 healthy subjects aged 1-16 years from the city of Almería (south-eastern Spain). BLL, iron parameters and erythropoietin were determined, and sociodemographic and dietary data obtained. The study paramateters was analyses in BLL toxic and BLL no toxic group by multiple logistic regression. RESULTS: The mean BLL was 1.98 ± 1.1 µg/dL (95% CI:1.91-2.04). For 5.7% of the population, mean BLL was 2-5 µg/dL, for 2.1% it was >5 µg/dL and for 0.15% it was >10 µg/dL. Multivariate analysis showed that immigrant origin (OR:11.9; p < 0.0001), low level of parental education (OR:4.6; p < 0.02) and low dietary iron bioavailability (OR: 3.2; p < 0.02) were all risk factors for toxic BLL. Subjects with toxic and non-toxic BLL presented similar iron and erythropoiesis-related parameters, except erythrocyte protoporphyrin, which was significantly higher in the BLL >5 µg/dL group. CONCLUSIONS: BLL and the prevalence of toxic BLL in healthy subjects aged 1-16 years living in south-eastern Spain are low and similar to those found in other developed countries. The factors associated with toxic BLL are immigrant origin, low level of parental education and dietary iron deficiency. The toxicity of BLL was not related to changes in the analytical parameters studied.

Insulinaemia and insulin resistance in Caucasian general paediatric population aged 2 to 10 years: Associated risk factors.

BACKGROUND: The aim of this study is to determine values of insulinaemia, homeostasis model assessment (HOMA) index and quantitative insulin sensitivity check index (QUICKI) among a population of prepubertal Caucasian children, to analyse factors associated with insulin resistance (IR), and to study its association with cardiovascular risk factors. MATERIALS AND METHODS: Population-based study conducted on a randomly selected sample of prepubescent Caucasian subjects aged 2.00 to 9.99 years old. Anthropometric measurements, blood pressure, and fasting blood samples were obtained, including fasting glucose, triglycerides, High Density Lipoprotein (HDL)-cholesterol, and insulin. In addition, QUICKI and HOMA indices were calculated. Generalised additive models for location, scale and shape (GAMLSS) was used to calculate centiles curves and multivariate logistic regression analysis to assess factors associated with IR. RESULTS: A total of 654 subjects were included. Mean values obtained for insulinaemia, HOMA index, and QUICKI were 3.74 µIU/mL, 0.73, and 0.44, respectively, in the overall population and 3.32 µIU/mL, 0.64 and 0.46, respectively, in normal weight subjects. The main factor associated with IR was abdominal obesity (odds ratio [OR] 3.38 [95% CI 1.44-7.94] in the subgroup aged 2.00-5.99 years and OR 9.14 [3.42-24.41] for those aged 6.00-9.99 years). An increased risk of hyperglycaemia (P = 0.043), hypertriglyceridaemia (P < .001), and HDL < p10 (P = 0.021) was described among children aged 2.00 to 5.99 years with IR, and among those aged 6.00 to 9.99 years, IR was associated with an increased risk of hypertriglyceridaemia (P < .001). CONCLUSION: Abdominal obesity was the main factor associated with IR. Metabolic changes associated with IR seem to be present from early stages of life, which highlights the importance of the prevention, early diagnosis and treatment of obesity.

Prevalencia de sobrepeso y obesidad en niños y adolescentes de 2 a 16 años / Prevalence of overweight and obesity in children and adolescents aged 2-16 years

Objetivos Calcular la prevalencia de obesidad y sobrepeso en niños y adolescentes de nuestra ciudad e investigar los factores asociados. Sujetos y métodos Estudio transversal de 1.317 niños y adolescentes de 2 a 16 años. Mediante muestreo probabilístico polietápico se seleccionaron 3 grupos: 411 de 12 a 16, 504 de 6 a 12 y 402 de 2 a 6 años. Se les calculó el índice de masa corporal y se definió obesidad y sobrepeso según la International Obesity Task Force. Se realizó un cuestionario de consumo de alimentos y de características clínicas y sociodemográficas. Los resultados se expresan como porcentajes (intervalos de confianza al 95%). Mediante regresión logística múltiple se estudió la asociación entre exceso de peso (obesidad y sobrepeso) y las distintas variables, calculando la odds ratio (OR) ajustada. Resultados El 9,5% (8,0-11,0) de los niños y adolescentes de 2 a 16 años son obesos y 22,4% (23,3-24,6) tienen sobrepeso. En el grupo de 12 a 16 años, el 8,5% (5,9-11,2) son obesos y el 20,5% (16,7-24,3) tienen sobrepeso, en el grupo de 6 a 12 años el 11,6% (8,9-14,3) y el 31,0% (27,0-35,0) y en el de 2 a 6 años el 8,0% (5,4-10,6) y el 13,6% (10,3-16,9), respectivamente. Se asocian con el exceso de peso la edad (OR 1,21; p<0,001), la obesidad materna (OR 10,99; p = 0,008), el peso al nacer mayor de 4kg (OR 2,91; p = 0,002) y la lactancia artificial exclusiva (OR 1,82; p = 0,005).Conclusión La obesidad y el sobrepeso infantil y juvenil son problemas extraordinariamente prevalentes en nuestra ciudad (AU)

Objectives To estimate the prevalence of obesity and overweight in children and adolescents in our city and to investigate the associated factors. Subjects and methods A cross-sectional study of 1317 children and adolescents aged 2-16 years. Multistage probability sampling was used to select three groups of subjects: 411 aged 12 to 16 years, 504 aged 6 to 12 years, and 402 aged 2 to 6 years. Body mass index was calculated, and obesity and overweight were diagnosed using the threshold levels of the International Obesity Task Force for children and adolescents. Parents were asked about eating habits, health, social, and demographic aspects. Results are given as percentages (95% confidence interval). The relationship between obesity and overweight and the different variables was studied using multiple logistic regression. The adjusted odds ratio (OR) was calculated. Results Among children and adolescentes aged 2-16 years, 9.5% (8.0%-11.0%) were obese and 22.4% (23.3%-24.6%) were overweight. Of subjects aged 12-16 years, 8.5% (5.9%-11.2%) were obese and 20.5% (16.7%-24.3%) were overweight. In the groups aged 6-12 years and 2-6 years, rates of obesity and overweight were 11.6% (8.9% -14.3%) and 31.0% (27.0-35.0) and 8.0% (5.4%-10.6%) and 13.6% (10.3%-16.9%) respectively. Obesity or overweight was associated to age (OR 1.21; P <0.001), maternal obesity (OR 10.99; P= 0.008), a birthweight higher than 4kg (OR 2.91; p 0.002), and formula feeding (OR 1.82; P= 0.005).Conclusion Obesity and overweight in children and adolescents are highly prevalent problems in our city (AU)

Prevalence of overweight and obesity in children and adolescents aged 2-16 years.

OBJECTIVES: To estimate the prevalence of obesity and overweight in children and adolescents in our city and to investigate the associated factors. SUBJECTS AND METHODS: A cross-sectional study of 1317 children and adolescents aged 2-16 years. Multistage probability sampling was used to select three groups of subjects: 411 aged 12 to 16 years, 504 aged 6 to 12 years, and 402 aged 2 to 6 years. Body mass index was calculated, and obesity and overweight were diagnosed using the threshold levels of the International Obesity Task Force for children and adolescents. Parents were asked about eating habits, health, social, and demographic aspects. Results are given as percentages (95% confidence interval). The relationship between obesity and overweight and the different variables was studied using multiple logistic regression. The adjusted odds ratio (OR) was calculated. RESULTS: Among children and adolescents aged 2-16 years, 9.5% (8.0%-11.0%) were obese and 22.4% (23.3%-24.6%) were overweight. Of subjects aged 12-16 years, 8.5% (5.9%-11.2%) were obese and 20.5% (16.7%-24.3%) were overweight. In the groups aged 6-12 years and 2-6 years, rates of obesity and overweight were 11.6% (8.9% -14.3%) and 31.0% (27.0-35.0) and 8.0% (5.4%-10.6%) and 13.6% (10.3%-16.9%) respectively. Obesity or overweight was associated to age (OR 1.21; P<0.001), maternal obesity (OR 10.99; P= 0.008), a birthweight higher than 4kg (OR 2.91; p 0.002), and formula feeding (OR 1.82; P= 0.005). CONCLUSION: Obesity and overweight in children and adolescents are highly prevalent problems in our city.

Serum transferrin receptor in children: usefulness for determinating the nature of anemia in infection.

OBJECTIVES: To know the variations of serum transferrin receptor (sTfR) and its indices depending on the status of body iron and the presence of infection in children, to evaluate their usefulness for recognizing the nature of anemia in infection, and to know the role of erythropoietic activity in these conditions. DESIGN AND METHODS: Three hundred and sixty-eight children between 1 and 10 years were included: 206 healthy children; 60 iron deficient anemic children (IDA); 102 with anemia and infectious disease, 58 of them meeting criteria for IDA. We measured hemoglobin, red cell indices, reticulocytes, transferrin saturation, serum ferritin, erythrocyte protoporphyrin, serum erythropoietin, and sTfR. Statistic method: ANOVA test, multiple linear regression, and ROC curve. RESULTS: sTfR, sTfR/ferritin ratio, and sTfR-logferritin index values were found to increase significantly in IDA children. These values were significantly lower in infectious anemia than iron deficiency states. Serum erythropoietin only was elevated significantly in iron deficiency states. In children without infection, mean corpuscular hemoglobin, erythrocyte protoporphirin, erythropoietin logarithm, and total-iron-binding-capacity logarithm predicted 81% of sTfR variability. sTfR and its indices showed a very high sensitivity and specificity for recognizing iron deficiency states. In children with IDA and infection sensitivity for sTfR/ferritin ratio was low (area under the curve: 0.71; 95% confidence interval: 0.64-0.88). For discriminating the nature of anemia in infection the cut-off point obtained for sTfR, sTfR/ferritin ratio, and sTfR-F index were 3, 70, and 1.8, respectively, and their sensitivity and specificity were also very high. CONCLUSIONS: sTfR, sTfR/ferritin ratio, and sTfR-F index are useful parameters for recognizing iron deficiency and the nature of anemia in infection. In IDA+infection, sTfR/ferritin ratio should not be recommended in the diagnosis of iron deficiency. In iron deficiency, erythropoietic activity has a secondary role as predictor factor of sTfR levels.