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Copyright of Revista de Salud Pública is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Salud Pública is the property of Universidad Nacional de Colombia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Objectives: To determine the prevalence and factors associated with overweight and obesity in Peruvian schoolchildren., Materials and Methods: Cross-sectional study carried out between 2013 and 2014. The probabilistic, multistage stratified sampling included 1 191 conglomerates with 7 914 dwellings (4 842 in the urban area and 3 072 in the rural area) of Peru. A total of 2 801 schoolchildren aged between 5 and 13 years were evaluated. The Z score of the body mass index by age (ZBMI) was used according to the WHO. Overweight was considered (ZBMI> 1 and ≤2) and obesity (ZBMI >2)., Results: 18.1% of the sample was overweight and 14.1% were obese. Overweight predominated in males (18.7%), schoolchildren aged 8 to 10 years (19.6%), non-poor (21.2%), residing in the urban area (21.6%), from Metropolitan Lima (22.8%) and Costa (22.7%). The factors associated with overweight included non-poverty (OR=1.9), living in urban areas (OR=1.7), Metropolitan Lima (OR=1.9) and Costa (OR=1.6). On the other hand, factors associated with obesity included male sex (OR=3.1), secondary education level of the head of the household (OR=1.8), higher education (OR=2.5), non-poor (OR=9.2), residing in an urban area (OR=3.4), Metropolitan Lima (OR=4.8) and Costa (OR=2.9)., Conclusions: The prevalence of obesity or overweight in schoolchildren is high. Non-poverty, living in urban areas, Metropolitan Lima and Costa are associated with overweight. Being a man, non-poor, the highest educational level of the head of the household, living in the urban area, Metropolitan Lima and Costa were associated with obesity.

Objective: To estimate the bacteriological quality of drinking water in Huancavelica, Cajamarca and Huánuco during 2012-2013., Material and Methods: A cross-sectional study was conducted. Sampling was probabilistic, stratified and multistage. The sample included 706 households. The Readycult ® kit was used to assess the presence of total coliforms and E. coli. 100 mL of water used for food preparation was collected. The determination of residual chlorine was performed by semiquantitative analysis using Chlorine Test Reagent ®. It was established as the ideal residual chlorine concentration ≥0,5 mg/L. The statistical analysis considered the necessary weight for complex samples. We calculed percentages and chi square. The informed consent of the head of household is requested. It was defined as good bacteriological quality of water: water sample with adequate free chlorine, in the absence of total coliforms and E. coli., Results: The samples tested, 78.6 % had total coliforms in Cajamarca, Huancavelica and 65.5 % at 64.1 % in Huanuco. The 72.0 % had E. coli in Cajamarca, Huancavelica 37.4 % and 17.5 % in Huánuco. In Cajamarca, 8.6 % of the water samples were of good bacteriological quality, while in Huancavelica was 4.3 % and Huanuco, 7.2 %., Conclusions: Most of the water samples were of poor bacteriological quality. Most of the water samples had total coliforms. Three-quarters of households in Cajamarca, Huancavelica third and almost one fifth of Huanuco had the presence of E. coli in drinking water.

Objectives: To estimate the prevalence of anemia and associated factors in elderly residing in Peruvian households., Materials and Methods: the study deals with a cross-sectional design and was conducted in 2011. The sample was probabilistic, stratified and multistage independent in department of Peru. The required sample housing was 5792, we included 2172 elderly. We asked informed consent of all elderly. The anemia was defined as hemoglobin <13.0 g / dL in men and <12.0 g / dL in women, hemoglobin was adjusted for altitude. The anthropometric measurements were performed according to methodology MINSA/INS. The Nutritional status was assessed by body mass index. The classification of nutritional status: underweight (BMI≤23,0) (BMI>23 to <28), overweight (BMI≥28 to <32.0) and obesity (BMI≥32). Statistical analysis was performed using complex samples and adjusted by the weighting factor. We Calculated means, proportions. The chi-square and regression logistic., Results: The mean hemoglobin was 13.4 ± 1.6 g / dL. The prevalence of anemia was 23,3% (mild anemia 17.1%, moderate: severe 5,7% and 0,5%). The age 70 to 79 years (OR 1.5; CI 95%:1.1; 2.0),> 80 years (OR 2.1; CI 95%: 1.4; 3.0) and thinness (OR 1.7; CI 95%: 1.2, 2.3) associated with anemia. Ayacucho, Ancash, Lambayeque and Apurimac were the departments with the highest prevalence of anemia., Conclusions: Approximately one quarter of elderly were anemic, being more prevalent in the illiterate, rural and poor. Older age and thinness are associated with anemia in elderly Peruvians.

Objectives: To describe the nutritional status in older adults and its association with sociodemographic characteristics., Materials and Methods: A cross-sectional study was conducted. Sampling was probabilistic, stratifi and multistage. Nutritional status was assessed by body mass index (BMI) according to the classifi of nutritional status for the elderly from the Ministry of Health of Peru. The statistical analysis considered the necessary weight for complex samples., Results: The study included 7,267 older adults. 26.8% of participants were underweight, 21.7% overweight, 10.6% obese and 40.8% normal. The average age in the sample was 70.1 ± 8.3 years. Illiteracy (OR 1.9; 95% CI 1.2-3.0), primary education (OR 1.9; 95% CI 1.3-2.9), extreme poverty (OR 2.0; 95% CI 1.6-2.5), living in rural areas (OR 1.8; 95% CI 1.5-2.1), living in the mountains (OR 1.6; 95% CI 1.2-2.2) or jungle (OR 1.6; 95% CI 1.1-2.2) were found associated with underweight. Females (OR 1.8; 95% CI 1.4-2.1), living in urban areas (OR 2.0; 95% CI 1.6-2.5), living in the coastal region (OR 1.5; 95% CI 1.2- 1.8); and not classifi as poor (OR 1.9; 95% CI 1.3-2.9) were associated with overweight. Female sex (OR 3.1; 95% CI 2.3-4.1), primary education (OR 2.4; 95% CI 1.5-4.0) and secondary (OR 2.0; 95% CI 1.2-3.4); live in urban areas (OR 2.2; 95% CI 1.6-2.9), inhabiting the coast (OR 1.8; 95% CI 1.3-2.4), Metro (OR 1.6, 95% CI 1.1-2.2) and jungle (OR 1.6; 95% CI 1.1-2.2), and not classifi as poor (OR 3.5; 95% CI 1.8-7.0) were associated with obesity., Conclusions: The data suggest that both underweight and overweight are common in the elderly population studied.