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      Retardo estatural em menores de cinco anos: um estudo "baseline" Translated title: Linear growth retardation in children under five years of age: a baseline study

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          Abstract

          OBJETIVO: Descrever a prevalência e analisar fatores associados ao retardo estatural em menores de cinco anos. MÉTODOS: Estudo "baseline", que analisou 2.040 crianças, verificando possíveis associações entre o retardo estatural (índice altura/idade < 2 escores Z) e variáveis hierarquizadas em seis blocos: socioeconômicas, do domicílio, do saneamento, maternas, biológicas e de acesso aos serviços de saúde. A análise multivariada foi realizada por regressão de Poisson, com opção de erro padrão robusto, obtendo-se as razões de prevalência ajustadas, com IC 95% e respectivos valores de significância. RESULTADOS: Entre as variáveis não dicotômicas, houve associação positiva com o tipo de teto e o número de moradores por cômodo e associação negativa com renda, escolaridade da mãe e peso ao nascer. A análise ajustada indicou ainda como variáveis significantes: abastecimento de água, visita do agente comunitário de saúde, local do parto, internação por diarreia e internação por pneumonia. CONCLUSÃO: Os fatores identificados como de risco para o retardo estatural configuram a multicausalidade do problema, implicando na necessidade de intervenções multisetoriais e multiníveis para o seu controle.

          Translated abstract

          The scope of this study was to describe the prevalence of, and analyze factors associated with, linear growth retardation in children. The baseline study analyzed 2040 children under the age of five, establishing a possible association between growth delay (height/age index < 2 scores Z) and variables in six hierarchical blocks: socio-economic, residence, sanitary, maternal, biological and healthcare access. Multivariate analysis was performed using Poisson regression with the robust standard error option, obtaining adjusted prevalence ratios with a CI of 95% and the respective significant probability values. Among non-binary variables, there was a positive association with roof type and number of inhabitants per room and a negative association with income per capita, mother's schooling and birth weight. The adjusted analysis also indicated water supply, visit from the community health agent, birth delivery location, internment for diarrhea, or for pneumonia and birth weight as significant variables. Several risk factors were identified for linear growth retardation pointing to the multi-causal aspects of the problem and highlighting the need for control measures by the various hierarchical government agents.

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          Reducing child mortality: can public health deliver?

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            Reducing child mortality: can public health deliver?

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              Author and article information

              Contributors
              Role: ND
              Role: ND
              Role: ND
              Role: ND
              Journal
              csc
              Ciência & Saúde Coletiva
              Ciênc. saúde coletiva
              ABRASCO - Associação Brasileira de Saúde Coletiva (Rio de Janeiro )
              1413-8123
              October 2011
              : 16
              : 10
              : 4067-4076
              Affiliations
              [1 ] Universidade de São Paulo Brazil
              Article
              S1413-81232011001100012
              10.1590/S1413-81232011001100012
              1be42a4f-dfc4-473f-bb39-67904c47b738

              http://creativecommons.org/licenses/by/4.0/

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              SciELO Public Health

              Self URI (journal page): http://www.scielosp.org/scielo.php?script=sci_serial&pid=1413-8123&lng=en
              Categories
              Health Policy & Services

              Public health
              Linear growth retardation,Malnutrition,Multivariate analysis,Hierarchical model,Retardo estatural,Desnutrição,Análise multivariada,Modelo hierarquizado

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