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Spatial clustering of colorectal cancer in Malaysia
The rise in colorectal cancer (CRC) incidence becomes a global concern. As geographical variations in the CRC incidence suggests the role of area-level determinants, the current study was designed to identify the spatial distribution pattern of CRC at the neighbourhood level in Malaysia. Newly diagn...
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Published in: | Geospatial health 2023-05, Vol.18 (1) |
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creator | Syed Soffian, Sharifah Saffinas Mohammed Nawi, Azmawati Hod, Rozita Abdul Maulud, Khairul Nizam Mohd Azmi, Ahmad Tarmizi Hasim Hashim, Mohd Hazrin Chan, Huan-Keat Abu Hassan, Muhammad Radzi |
description | The rise in colorectal cancer (CRC) incidence becomes a global concern. As geographical variations in the CRC incidence suggests the role of area-level determinants, the current study was designed to identify the spatial distribution pattern of CRC at the neighbourhood level in Malaysia.
Newly diagnosed CRC cases between 2010 and 2016 in Malaysia were identified from the National Cancer Registry. Residential addresses were geocoded. Clustering analysis was subsequently performed to examine the spatial dependence between CRC cases. Differences in socio-demographic characteristics of individuals between the clusters were also compared. Identified clusters were categorized into urban and semi-rural areas based on the population background.
Most of the 18 405 individuals included in the study were male (56%), aged between 60 and 69 years (30.3%) and only presented for care at stages 3 or 4 of the disease (71.3%). The states shown to have CRC clusters were Kedah, Penang, Perak, Selangor, Kuala Lumpur, Melaka, Johor, Kelantan, and Sarawak. The spatial autocorrelation detected a significant clustering pattern (Moran's Index 0.244, p< 0.01, Z score >2.58). CRC clusters in Penang, Selangor, Kuala Lumpur, Melaka, Johor, and Sarawak were in urbanized areas, while those in Kedah, Perak and Kelantan were in semi-rural areas.
The presence of several clusters in urbanized and semi-rural areas implied the role of ecological determinants at the neighbourhood level in Malaysia. Such findings could be used to guide the policymakers in resource allocation and cancer control. |
doi_str_mv | 10.4081/gh.2023.1158 |
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Newly diagnosed CRC cases between 2010 and 2016 in Malaysia were identified from the National Cancer Registry. Residential addresses were geocoded. Clustering analysis was subsequently performed to examine the spatial dependence between CRC cases. Differences in socio-demographic characteristics of individuals between the clusters were also compared. Identified clusters were categorized into urban and semi-rural areas based on the population background.
Most of the 18 405 individuals included in the study were male (56%), aged between 60 and 69 years (30.3%) and only presented for care at stages 3 or 4 of the disease (71.3%). The states shown to have CRC clusters were Kedah, Penang, Perak, Selangor, Kuala Lumpur, Melaka, Johor, Kelantan, and Sarawak. The spatial autocorrelation detected a significant clustering pattern (Moran's Index 0.244, p< 0.01, Z score >2.58). CRC clusters in Penang, Selangor, Kuala Lumpur, Melaka, Johor, and Sarawak were in urbanized areas, while those in Kedah, Perak and Kelantan were in semi-rural areas.
The presence of several clusters in urbanized and semi-rural areas implied the role of ecological determinants at the neighbourhood level in Malaysia. Such findings could be used to guide the policymakers in resource allocation and cancer control.</description><identifier>ISSN: 1827-1987</identifier><identifier>EISSN: 1970-7096</identifier><identifier>DOI: 10.4081/gh.2023.1158</identifier><identifier>PMID: 37246545</identifier><language>eng</language><publisher>Italy: PAGEPress Publications</publisher><subject>Aged ; Cluster Analysis ; colorectal cancer ; Colorectal Neoplasms - epidemiology ; ecology ; Female ; geographical variation ; Humans ; Malaysia ; Malaysia - epidemiology ; Male ; Middle Aged ; Residence Characteristics ; Spatial Analysis ; spatial cluster</subject><ispartof>Geospatial health, 2023-05, Vol.18 (1)</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c314t-9cf3ebe7d1670d4e080b047606891c70dad6555ba928c9f82cbeee2d01e2fed23</cites><orcidid>0000-0002-9838-3366 ; 0000-0002-0009-5244 ; 0000-0003-2721-3084 ; 0000-0001-6710-7257 ; 0000-0002-9215-2778</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,37013</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37246545$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Syed Soffian, Sharifah Saffinas</creatorcontrib><creatorcontrib>Mohammed Nawi, Azmawati</creatorcontrib><creatorcontrib>Hod, Rozita</creatorcontrib><creatorcontrib>Abdul Maulud, Khairul Nizam</creatorcontrib><creatorcontrib>Mohd Azmi, Ahmad Tarmizi</creatorcontrib><creatorcontrib>Hasim Hashim, Mohd Hazrin</creatorcontrib><creatorcontrib>Chan, Huan-Keat</creatorcontrib><creatorcontrib>Abu Hassan, Muhammad Radzi</creatorcontrib><title>Spatial clustering of colorectal cancer in Malaysia</title><title>Geospatial health</title><addtitle>Geospat Health</addtitle><description>The rise in colorectal cancer (CRC) incidence becomes a global concern. As geographical variations in the CRC incidence suggests the role of area-level determinants, the current study was designed to identify the spatial distribution pattern of CRC at the neighbourhood level in Malaysia.
Newly diagnosed CRC cases between 2010 and 2016 in Malaysia were identified from the National Cancer Registry. Residential addresses were geocoded. Clustering analysis was subsequently performed to examine the spatial dependence between CRC cases. Differences in socio-demographic characteristics of individuals between the clusters were also compared. Identified clusters were categorized into urban and semi-rural areas based on the population background.
Most of the 18 405 individuals included in the study were male (56%), aged between 60 and 69 years (30.3%) and only presented for care at stages 3 or 4 of the disease (71.3%). The states shown to have CRC clusters were Kedah, Penang, Perak, Selangor, Kuala Lumpur, Melaka, Johor, Kelantan, and Sarawak. The spatial autocorrelation detected a significant clustering pattern (Moran's Index 0.244, p< 0.01, Z score >2.58). CRC clusters in Penang, Selangor, Kuala Lumpur, Melaka, Johor, and Sarawak were in urbanized areas, while those in Kedah, Perak and Kelantan were in semi-rural areas.
The presence of several clusters in urbanized and semi-rural areas implied the role of ecological determinants at the neighbourhood level in Malaysia. Such findings could be used to guide the policymakers in resource allocation and cancer control.</description><subject>Aged</subject><subject>Cluster Analysis</subject><subject>colorectal cancer</subject><subject>Colorectal Neoplasms - epidemiology</subject><subject>ecology</subject><subject>Female</subject><subject>geographical variation</subject><subject>Humans</subject><subject>Malaysia</subject><subject>Malaysia - epidemiology</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Residence Characteristics</subject><subject>Spatial Analysis</subject><subject>spatial cluster</subject><issn>1827-1987</issn><issn>1970-7096</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNo9kL1PwzAQxS0EolXpxowyMpDiz9gZUcVHpSIGYLYc-9ymSutiJ0P_exJaesud3v307vQQuiV4xrEij6v1jGLKZoQIdYHGpJQ4l7gsLvtZUZmTUskRmqa0wX0JLgssrtGIScoLwcUYsc-9aWvTZLbpUgux3q2y4DMbmhDBtsPC7CzErN5l76Yxh1SbG3TlTZNgeuoT9P3y_DV_y5cfr4v50zK3jPA2L61nUIF0pJDYccAKV3j4oFAlsb1kXCGEqExJlS29orYCAOowAerBUTZBi6OvC2aj97HemnjQwdT6TwhxpU1sa9uA5q5SlSsN845ypbBiVAmvBJPSVL4gvdf90Wsfw08HqdXbOlloGrOD0CVNFcWMFZzKHn04ojaGlCL482mC9ZC6Xq31kLoeUu_xu5NzV23BneH_jNkvBiB7Vw</recordid><startdate>20230525</startdate><enddate>20230525</enddate><creator>Syed Soffian, Sharifah Saffinas</creator><creator>Mohammed Nawi, Azmawati</creator><creator>Hod, Rozita</creator><creator>Abdul Maulud, Khairul Nizam</creator><creator>Mohd Azmi, Ahmad Tarmizi</creator><creator>Hasim Hashim, Mohd Hazrin</creator><creator>Chan, Huan-Keat</creator><creator>Abu Hassan, Muhammad Radzi</creator><general>PAGEPress Publications</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9838-3366</orcidid><orcidid>https://orcid.org/0000-0002-0009-5244</orcidid><orcidid>https://orcid.org/0000-0003-2721-3084</orcidid><orcidid>https://orcid.org/0000-0001-6710-7257</orcidid><orcidid>https://orcid.org/0000-0002-9215-2778</orcidid></search><sort><creationdate>20230525</creationdate><title>Spatial clustering of colorectal cancer in Malaysia</title><author>Syed Soffian, Sharifah Saffinas ; Mohammed Nawi, Azmawati ; Hod, Rozita ; Abdul Maulud, Khairul Nizam ; Mohd Azmi, Ahmad Tarmizi ; Hasim Hashim, Mohd Hazrin ; Chan, Huan-Keat ; Abu Hassan, Muhammad Radzi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-9cf3ebe7d1670d4e080b047606891c70dad6555ba928c9f82cbeee2d01e2fed23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Aged</topic><topic>Cluster Analysis</topic><topic>colorectal cancer</topic><topic>Colorectal Neoplasms - epidemiology</topic><topic>ecology</topic><topic>Female</topic><topic>geographical variation</topic><topic>Humans</topic><topic>Malaysia</topic><topic>Malaysia - epidemiology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Residence Characteristics</topic><topic>Spatial Analysis</topic><topic>spatial cluster</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Syed Soffian, Sharifah Saffinas</creatorcontrib><creatorcontrib>Mohammed Nawi, Azmawati</creatorcontrib><creatorcontrib>Hod, Rozita</creatorcontrib><creatorcontrib>Abdul Maulud, Khairul Nizam</creatorcontrib><creatorcontrib>Mohd Azmi, Ahmad Tarmizi</creatorcontrib><creatorcontrib>Hasim Hashim, Mohd Hazrin</creatorcontrib><creatorcontrib>Chan, Huan-Keat</creatorcontrib><creatorcontrib>Abu Hassan, Muhammad Radzi</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Geospatial health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Syed Soffian, Sharifah Saffinas</au><au>Mohammed Nawi, Azmawati</au><au>Hod, Rozita</au><au>Abdul Maulud, Khairul Nizam</au><au>Mohd Azmi, Ahmad Tarmizi</au><au>Hasim Hashim, Mohd Hazrin</au><au>Chan, Huan-Keat</au><au>Abu Hassan, Muhammad Radzi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial clustering of colorectal cancer in Malaysia</atitle><jtitle>Geospatial health</jtitle><addtitle>Geospat Health</addtitle><date>2023-05-25</date><risdate>2023</risdate><volume>18</volume><issue>1</issue><issn>1827-1987</issn><eissn>1970-7096</eissn><abstract>The rise in colorectal cancer (CRC) incidence becomes a global concern. As geographical variations in the CRC incidence suggests the role of area-level determinants, the current study was designed to identify the spatial distribution pattern of CRC at the neighbourhood level in Malaysia.
Newly diagnosed CRC cases between 2010 and 2016 in Malaysia were identified from the National Cancer Registry. Residential addresses were geocoded. Clustering analysis was subsequently performed to examine the spatial dependence between CRC cases. Differences in socio-demographic characteristics of individuals between the clusters were also compared. Identified clusters were categorized into urban and semi-rural areas based on the population background.
Most of the 18 405 individuals included in the study were male (56%), aged between 60 and 69 years (30.3%) and only presented for care at stages 3 or 4 of the disease (71.3%). The states shown to have CRC clusters were Kedah, Penang, Perak, Selangor, Kuala Lumpur, Melaka, Johor, Kelantan, and Sarawak. The spatial autocorrelation detected a significant clustering pattern (Moran's Index 0.244, p< 0.01, Z score >2.58). CRC clusters in Penang, Selangor, Kuala Lumpur, Melaka, Johor, and Sarawak were in urbanized areas, while those in Kedah, Perak and Kelantan were in semi-rural areas.
The presence of several clusters in urbanized and semi-rural areas implied the role of ecological determinants at the neighbourhood level in Malaysia. Such findings could be used to guide the policymakers in resource allocation and cancer control.</abstract><cop>Italy</cop><pub>PAGEPress Publications</pub><pmid>37246545</pmid><doi>10.4081/gh.2023.1158</doi><orcidid>https://orcid.org/0000-0002-9838-3366</orcidid><orcidid>https://orcid.org/0000-0002-0009-5244</orcidid><orcidid>https://orcid.org/0000-0003-2721-3084</orcidid><orcidid>https://orcid.org/0000-0001-6710-7257</orcidid><orcidid>https://orcid.org/0000-0002-9215-2778</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Aged Cluster Analysis colorectal cancer Colorectal Neoplasms - epidemiology ecology Female geographical variation Humans Malaysia Malaysia - epidemiology Male Middle Aged Residence Characteristics Spatial Analysis spatial cluster |
title | Spatial clustering of colorectal cancer in Malaysia |
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