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1.
J Infect Public Health ; 9(4): 506-15, 2016.
Article in English | MEDLINE | ID: mdl-26819097

ABSTRACT

In 2011, Chile experienced an increase in the number of cases of IMD caused by Neisseria meningitidis group W. This epidemiological scenario prompted authorities to implement prevention strategies. As part of these strategies, the Institute of Public Heath of Chile conducted a cross-sectional study to determine the prevalence of pharyngeal carriage of N. meningitidis in a representative sample of healthy children and adolescents aged 10-19 years. The identification of presumptive N. meningitidis strains was performed by testing carbohydrate utilization in the National Reference Laboratory at the ISP. Association of meningococcal carriage with risk factors was analyzed by calculating the Odds Ratio. Selected variables were included in a logistic model for risk analyses. The prevalence of carriage of N. meningitidis was 6.5% (CI: 5.7-7.3%). Older age (carriers: 14.2±0.29 vs. non-carriers: 13.8±0.08 years old; p=0.009), cohabitation with children (carriers: 0.9±0.13 vs. non-carriers: 0.7±0.03; p=0.028), number of smoking cohabitants (carriers: 0.55±0.13 vs. non-carriers: 0.44±0.03) and frequent attendance to crowded social venues (carriers: 49% vs. non-carriers: 37%; p=0.008) were determined to favor carriage. Statistical modeling showed that meningococcal carriage was associated with older age (OR: 1.077, p-value: 0.002) and cohabitation with children (OR: 1.182, p-value: 0.02).


Subject(s)
Carrier State/epidemiology , Meningococcal Infections/epidemiology , Nasopharynx/microbiology , Neisseria meningitidis/isolation & purification , Adolescent , Child , Chile , Cross-Sectional Studies , Female , Humans , Male , Models, Statistical , Prevalence , Risk Factors , Young Adult
2.
Int J Environ Res Public Health ; 7(12): 4139-51, 2010 12.
Article in English | MEDLINE | ID: mdl-21317999

ABSTRACT

Chronic undernutrition causes reduced growth and endocrine adaptations in order to maintain basic life processes. In the present study, the biochemical profiles of chronically undernourished children were determined in order to test the hypothesis that chronic undernutrition also causes changes in lipid profile in pre-school children. The study population comprised 80 children aged between 12 and 71 months, including 60 with moderate undernutrition [height-for-age Z (HAZ) scores ≤ -2 and > -3] and 20 with severe undernutrition (HAZ scores ≤ -3). Socioeconomic, demographic and environmental data were obtained by application of a questionnaire, and anthropometric measurements and information relating to sex, age and feeding habits were collected by a trained nutritionist. Blood samples were analysed for haemoglobin, vitamin A, insulin-like growth factor 1 (IGF-1) and serum lipids, while cortisol was assayed in the saliva. Faecal samples were submitted to parasitological investigation. Analysis of variance and χ² methods were employed in order to select the variables that participated in the multivariate logistic regression analysis. The study population was socioeconomically homogeneous, while the lack of a treated water supply was clearly associated with the degree of malnutrition. Most children were parasitised and anaemia was significantly more prevalent among the severely undernourished. Levels of IGF-1 decreased significantly with increasing severity of undernutrition. Lipid analysis revealed that almost all of the children had dyslipidemia, while low levels of high-density lipoprotein were associated with the degree of undernutrition. It is concluded that chronic malnutrition causes endocrine changes that give rise to alterations in the metabolic profile of pre-school children.


Subject(s)
Dyslipidemias/physiopathology , Lipids/blood , Malnutrition/physiopathology , Analysis of Variance , Brazil/epidemiology , Chi-Square Distribution , Child, Preschool , Dyslipidemias/epidemiology , Feces/parasitology , Female , Hemoglobins/analysis , Humans , Hydrocortisone/analysis , Infant , Insulin-Like Growth Factor I/analysis , Logistic Models , Male , Malnutrition/epidemiology , Multivariate Analysis , Poverty , Urban Health , Vitamin A/blood
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