Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting

Background: Cross-sectional studies are fundamental studies in the practice of epidemiological science. This article aims to present in detail the methodology for conducting a series of cross-sectional studies, as well as the analysis of data through pooled data. Methods: The series of studies are p...

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Autores principales:	Luciano Lima Correia, Hermano Alexandre Lima Rocha, Sabrina Gabriele Maia Oliveira Rocha, Lucas Silveira do Nascimento, Anamaria Cavalcante e Silva, Jocileide Sales Campos, Álvaro Jorge Madeiro Leite
Formato:	article
Lenguaje:	EN
Publicado:	Ubiquity Press 2019
Materias:	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/1cbf8cdccf3244c895cb8ec4065f6560
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spelling	oai:doaj.org-article:1cbf8cdccf3244c895cb8ec4065f65602021-12-02T07:13:17ZMethodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting2214-999610.5334/aogh.2299https://doaj.org/article/1cbf8cdccf3244c895cb8ec4065f65602019-03-01T00:00:00Zhttps://annalsofglobalhealth.org/articles/2299https://doaj.org/toc/2214-9996Background: Cross-sectional studies are fundamental studies in the practice of epidemiological science. This article aims to present in detail the methodology for conducting a series of cross-sectional studies, as well as the analysis of data through pooled data. Methods: The series of studies are population cross-sectional studies, with statewide coverage, searching for representative sample of reproductive aged women and pre-school children in Ceará, Brazil. The sampling plan followed simple random, stratified, systematic and by conglomerates, in sequence. About 300 variables were collected. For each of the individual studies, multivariate data analysis was used to verify associations between dependent variables. For all the studies together, techniques used were trend chi-squared and pooled data analysis using linear mixed modeling procedures. Results: There were 6 studies in sequence, for 30 years. Among other findings, the variables income, maternal education and breastfeeding time proved to be associated with the reduction of malnutrition in children considering all the period (p values 0.013, 0.033 and 0.037, respectively). Conclusions: Cross-sectional studies can be replicated at regular time series following the methodology exposed in this, even for locations with limited resources, ensuring adequate management of decisions of using federal funding aimed at achieving targeted programs to maximize the results obtained with the public resource available.Luciano Lima CorreiaHermano Alexandre Lima RochaSabrina Gabriele Maia Oliveira RochaLucas Silveira do NascimentoAnamaria Cavalcante e SilvaJocileide Sales CamposÁlvaro Jorge Madeiro LeiteUbiquity PressarticleInfectious and parasitic diseasesRC109-216Public aspects of medicineRA1-1270ENAnnals of Global Health, Vol 85, Iss 1 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270
spellingShingle	Infectious and parasitic diseases RC109-216 Public aspects of medicine RA1-1270 Luciano Lima Correia Hermano Alexandre Lima Rocha Sabrina Gabriele Maia Oliveira Rocha Lucas Silveira do Nascimento Anamaria Cavalcante e Silva Jocileide Sales Campos Álvaro Jorge Madeiro Leite Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
description	Background: Cross-sectional studies are fundamental studies in the practice of epidemiological science. This article aims to present in detail the methodology for conducting a series of cross-sectional studies, as well as the analysis of data through pooled data. Methods: The series of studies are population cross-sectional studies, with statewide coverage, searching for representative sample of reproductive aged women and pre-school children in Ceará, Brazil. The sampling plan followed simple random, stratified, systematic and by conglomerates, in sequence. About 300 variables were collected. For each of the individual studies, multivariate data analysis was used to verify associations between dependent variables. For all the studies together, techniques used were trend chi-squared and pooled data analysis using linear mixed modeling procedures. Results: There were 6 studies in sequence, for 30 years. Among other findings, the variables income, maternal education and breastfeeding time proved to be associated with the reduction of malnutrition in children considering all the period (p values 0.013, 0.033 and 0.037, respectively). Conclusions: Cross-sectional studies can be replicated at regular time series following the methodology exposed in this, even for locations with limited resources, ensuring adequate management of decisions of using federal funding aimed at achieving targeted programs to maximize the results obtained with the public resource available.
format	article
author	Luciano Lima Correia Hermano Alexandre Lima Rocha Sabrina Gabriele Maia Oliveira Rocha Lucas Silveira do Nascimento Anamaria Cavalcante e Silva Jocileide Sales Campos Álvaro Jorge Madeiro Leite
author_facet	Luciano Lima Correia Hermano Alexandre Lima Rocha Sabrina Gabriele Maia Oliveira Rocha Lucas Silveira do Nascimento Anamaria Cavalcante e Silva Jocileide Sales Campos Álvaro Jorge Madeiro Leite
author_sort	Luciano Lima Correia
title	Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
title_short	Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
title_full	Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
title_fullStr	Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
title_full_unstemmed	Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting
title_sort	methodology of maternal and child health populational surveys: a statewide cross-sectional time series carried out in ceará, brazil, from 1987 to 2017, with pooled data analysis for child stunting
publisher	Ubiquity Press
publishDate	2019
url	https://doaj.org/article/1cbf8cdccf3244c895cb8ec4065f6560
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Methodology of Maternal and Child Health Populational Surveys: A Statewide Cross-sectional Time Series Carried Out in Ceará, Brazil, from 1987 to 2017, with Pooled Data Analysis for Child Stunting

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