Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019)
Abstract Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019. The Annual Percent Change (APC) of...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Instituto Materno Infantil de Pernambuco
2025-01-01
|
| Series: | Revista Brasileira de Saúde Materno Infantil |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292025000100401&lng=en&tlng=en |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832592479599198208 |
|---|---|
| author | Bruna Rayeli Groth Eliziani Gonçalves da Silva Camila Beatriz Alves da Rocha Bruna Hinnah Borges Martins de Freitas Rafaela Benevides Ferreira Machado Elena Alves Benevides Ferreira Lúbia Maieles Gomes Machado Emerson Soares dos Santos Iara Denise Endruweit Battisti Silvana Margarida Benevides Ferreira |
| author_facet | Bruna Rayeli Groth Eliziani Gonçalves da Silva Camila Beatriz Alves da Rocha Bruna Hinnah Borges Martins de Freitas Rafaela Benevides Ferreira Machado Elena Alves Benevides Ferreira Lúbia Maieles Gomes Machado Emerson Soares dos Santos Iara Denise Endruweit Battisti Silvana Margarida Benevides Ferreira |
| author_sort | Bruna Rayeli Groth |
| collection | DOAJ |
| description | Abstract Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019. The Annual Percent Change (APC) of the coefficients was used in the tendency analysis, through Prais-Winsten regression and the identification of high risk clusters. Results: the congenital malformation rate in the State was 6.52 per 1,000 live births, demonstrating a stationary tendency (APC-1.02; 95%CI= -2.93-0.93). Most congenital anomalies showed a stationary tendency, except for those of the cardiovascular system (APC=13.58; 95%CI= 3.60-24.52). Newborns with an Apgar score of ≤ 7 at the first and fifth minutes of life showed an increased tendency (APC=2.30; 95%CI=0.05-4.60 and APC=4.15; 95%CI= 1.52-6.65, respectively). The spatial distribution was heterogeneous, with the highest average rates of cases in the West, Central North, and South health macro-regions. The spatiotemporal scan identified three high risk clusters between 2015 and 2019, with a relative risk (RR) up to five times higher for anomalies. Conclusion: congenital anomalies in MT exhibited a heterogeneous dynamic with specific high risk areas, and their increasing tendency among maternal and neonatal factors highlights the need for regional prevention and control strategies. |
| format | Article |
| id | doaj-art-0ecc32e21b6f49fc834b11757d865b04 |
| institution | Kabale University |
| issn | 1806-9304 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Instituto Materno Infantil de Pernambuco |
| record_format | Article |
| series | Revista Brasileira de Saúde Materno Infantil |
| spelling | doaj-art-0ecc32e21b6f49fc834b11757d865b042025-01-21T07:40:35ZengInstituto Materno Infantil de PernambucoRevista Brasileira de Saúde Materno Infantil1806-93042025-01-012510.1590/1806-9304202500000111-enTrend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019)Bruna Rayeli Grothhttps://orcid.org/0009-0005-9743-866XEliziani Gonçalves da Silvahttps://orcid.org/0009-0003-9598-0282Camila Beatriz Alves da Rochahttps://orcid.org/0000-0003-0508-5288Bruna Hinnah Borges Martins de Freitashttps://orcid.org/0000-0002-6652-593XRafaela Benevides Ferreira Machadohttps://orcid.org/0000-0001-5109-2695Elena Alves Benevides Ferreirahttps://orcid.org/0009-0001-1115-0237Lúbia Maieles Gomes Machadohttps://orcid.org/0000-0003-4538-5138Emerson Soares dos Santoshttps://orcid.org/0000-0003-2709-5591Iara Denise Endruweit Battistihttps://orcid.org/0000-0001-9740-4199Silvana Margarida Benevides Ferreirahttps://orcid.org/0000-0001-7421-5803Abstract Objectives: to analyze the spatiotemporal dynamics of the prevalence of congenital anomalies in in cities of Mato Grosso (MT), in the Mid-West of Brazil, from 2008 to 2019. Methods: an ecological study of cases in MT during the period from 2008 to 2019. The Annual Percent Change (APC) of the coefficients was used in the tendency analysis, through Prais-Winsten regression and the identification of high risk clusters. Results: the congenital malformation rate in the State was 6.52 per 1,000 live births, demonstrating a stationary tendency (APC-1.02; 95%CI= -2.93-0.93). Most congenital anomalies showed a stationary tendency, except for those of the cardiovascular system (APC=13.58; 95%CI= 3.60-24.52). Newborns with an Apgar score of ≤ 7 at the first and fifth minutes of life showed an increased tendency (APC=2.30; 95%CI=0.05-4.60 and APC=4.15; 95%CI= 1.52-6.65, respectively). The spatial distribution was heterogeneous, with the highest average rates of cases in the West, Central North, and South health macro-regions. The spatiotemporal scan identified three high risk clusters between 2015 and 2019, with a relative risk (RR) up to five times higher for anomalies. Conclusion: congenital anomalies in MT exhibited a heterogeneous dynamic with specific high risk areas, and their increasing tendency among maternal and neonatal factors highlights the need for regional prevention and control strategies.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292025000100401&lng=en&tlng=enCongenital anomaliesSpatio temporal analysisSpatio temporal clusters |
| spellingShingle | Bruna Rayeli Groth Eliziani Gonçalves da Silva Camila Beatriz Alves da Rocha Bruna Hinnah Borges Martins de Freitas Rafaela Benevides Ferreira Machado Elena Alves Benevides Ferreira Lúbia Maieles Gomes Machado Emerson Soares dos Santos Iara Denise Endruweit Battisti Silvana Margarida Benevides Ferreira Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) Revista Brasileira de Saúde Materno Infantil Congenital anomalies Spatio temporal analysis Spatio temporal clusters |
| title | Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) |
| title_full | Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) |
| title_fullStr | Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) |
| title_full_unstemmed | Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) |
| title_short | Trend and high risk clusters for the occurrence of congenital anomalies in the State of Mato Grosso, Brazil (2008-2019) |
| title_sort | trend and high risk clusters for the occurrence of congenital anomalies in the state of mato grosso brazil 2008 2019 |
| topic | Congenital anomalies Spatio temporal analysis Spatio temporal clusters |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-38292025000100401&lng=en&tlng=en |
| work_keys_str_mv | AT brunarayeligroth trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT elizianigoncalvesdasilva trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT camilabeatrizalvesdarocha trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT brunahinnahborgesmartinsdefreitas trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT rafaelabenevidesferreiramachado trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT elenaalvesbenevidesferreira trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT lubiamaielesgomesmachado trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT emersonsoaresdossantos trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT iaradeniseendruweitbattisti trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 AT silvanamargaridabenevidesferreira trendandhighriskclustersfortheoccurrenceofcongenitalanomaliesinthestateofmatogrossobrazil20082019 |