Affiliations 

  • 1 Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur. ssyafinass85@gmail.com
  • 2 Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur. azmawati@ppukm.ukm.edu.my
  • 3 Department of Community Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur. rozita.hod@ppukm.ukm.edu.my
  • 4 Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi; Department of Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan. knam@ukm.edu.my
  • 5 Earth Observation Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi. ahmadtarmizi@ukm.edu.my
  • 6 Insitute for Public Health, National Institute of Health, Bandar Setia Alam, Shah Alam. ayen77@gmail.com
  • 7 Clinical Research Center, Sultanah Bahiyah Hospital, Alor Setar. huankeat123@yahoo.com
  • 8 Clinical Research Center, Sultanah Bahiyah Hospital, Alor Setar. drradzi91@yahoo.co.uk
Geospat Health, 2023 May 25;18(1).
PMID: 37246545 DOI: 10.4081/gh.2023.1158

Abstract

INTRODUCTION: 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.

METHOD: 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.

RESULT: 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.

CONCLUSION: 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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.