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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.