Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study

Submitted: 10 January 2023
Accepted: 26 April 2023
Published: 25 May 2023
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We aimed to explore the district-level temporal dynamics and sub-district level geographical variations of colorectal cancer (CRC) incidence in the Special Region of Yogyakarta Province. We performed a cross-sectional study using data from the Yogyakarta population-based cancer registry (PBCR) comprised of 1,593 CRC cases diagnosed in 2008-2019. The age-standardized rates (ASRs) were determined using 2014 population data. The temporal trend and geographical distribution of cases were analysed using joinpoint regression and Moran’s I statistics. During 2008-2019, CRC incidence increased by 13.44% annually. Joinpoints were identified in 2014 and 2017, which were also the periods when annual percentage change (APC) was the highest throughout the observation periods (18.84). Significant APC changes were observed in all districts, with the highest in Kota Yogyakarta (15.57). The ASR of CRC incidence per 100,000 person- years was 7.03 in Sleman, 9.20 in Kota Yogyakarta, and 7.07 in Bantul district. We found a regional variation of CRC ASR with a concentrated pattern of hotspots in the central sub-districts of the catchment areas and a significant positive spatial autocorrelation of CRC incidence rates in the province (I=0.581, p<0.001). The analysis identified four high-high clusters sub-districts in the central catchment areas. This is the first Indonesian study reported from PBCR data, showing an increased annual CRC incidence during an extensive observation period in the Yogyakarta region. A heterogeneous distribution map of CRC incidence is included. These findings may serve as basis for CRC screening implementation and healthcare services improvement.

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Abdullah M, Fauzi A, Syam AF, Makmun D, Simadibrata M, Manan C, Sung JJ, Rani AA, 2009. Hospital-based Survey on knowledge and attitude toward colorectal cancer screening among Indonesian population. Indonesian J Gastroenterol Hepatol Digestive Endoscopy 7:343–54.
Anselin L, Bera AK, Florax R, Yoon MJ, 1996. Simple diagnostic tests for spatial dependence. Reg Sci Urban Econ 26:77–104. DOI: https://doi.org/10.1016/0166-0462(95)02111-6
Anselin L, Li X, 2022. Rgeoda: R library for spatial data analysis. Available from: https://CRAN.R-project.org/package=rgeoda
Arnold M, Sierra MS, Laversanne M, Soerjomataram I, Jemal A, Bray F, 2017. Global patterns and trends in colorectal cancer incidence and mortality. Gut 66:683–91. DOI: https://doi.org/10.1136/gutjnl-2015-310912
Badeenezhad A, Radfard M, Passalari H, Parseh I, Abbasi F, Rostami S, 2019. Factors affecting the nitrate concentration and its health risk assessment in drinking groundwater by application of Monte Carlo simulation and geographic information system. Human Ecological Risk Assess 27:1458-71. DOI: https://doi.org/10.1080/10807039.2019.1655634
Basuki AT, Saptutyningsih E, 2012. Pemetaan polusi udara perkotaan di propinsi daerah istimewa Yogyakarta. Unisia 34:3–27. DOI: https://doi.org/10.20885/unisia.vol34.iss76.art1
Bivand RS, Wong DWS, 2018. Comparing implementations of global and local indicators of spatial association. TEST 27:716–48. DOI: https://doi.org/10.1007/s11749-018-0599-x
Boyle P, Parkin DM, 1991. Statistical methods for registries. In O Jensen, D Parkin, C Muir, R Skeet (Eds.), Cancer registration: principles and methods 95:126–58.
Bray F, Znaor A, Cueva P, Korir A, Swaminathan R, Ullrich A, Wang SA, Parkin DM, 2014. Planning and developing population-based cancer registration in low- or middle-income settings. Plann Devel Population-Based Cancer Regist Low- or Middle-Income Sett 43:1–46.
Central Bureau of Statistics, 2018. Prevalence of obesity in population age >18, 2013-2018. Available from: https://www.bps.go.id/indicator/30/1481/1/prevalensi-obesitas-pada-penduduk-umur-18-tahun.html
Central Bureau of Statistics of Kota Yogyakarta, 2018. Statistik Kesejahteraan Rakyat Kota Yogyakarta 2018. Available from: https://jogjakota.bps.go.id/publication/2018/12/28/9d448c921f8bfd872872a0fd/statistik-kesejahteraan-rakyat-kota-yogyakarta-2018.html
Coleman NC, Burnett RT, Ezzati M, Marshall JD, Robinson AL, Pope CA, 2020. Fine particulate matter exposure and cancer incidence: analysis of SEER cancer registry data from 1992-2016. Environ Health Perspect 128:1–9. DOI: https://doi.org/10.1289/EHP7246
Dadashi A, Mohammadi A, Mohammad Ebrahimi S, Bergquist R, Shamsoddini A, Hesami A, Pishgar E, Kimiafar K, Sarbaz M, Kiani B, 2021. ‎Spatial analysis of the 10 most prevalent cancers in north-eastern Iran, 2017–2018‎. J Spat Sci 1–21. DOI: https://doi.org/10.1080/14498596.2021.1975583
Fathmawati, Fachiroh J, Gravitiani E, Sarto, Husodo AH, 2017. Nitrate in drinking water and risk of colorectal cancer in Yogyakarta, Indonesia. J Toxicol Environ Health A 80:120–128. DOI: https://doi.org/10.1080/15287394.2016.1260508
Ferlay J, Colombet M, Soerjomataram I, Parkin DM, Piñeros M, Znaor A, Bray F, 2021. Cancer statistics for the year 2020: An overview. Int J Cancer 149:778–789. DOI: https://doi.org/10.1002/ijc.33588
Ferlay J, Ervik M, Lam F, Colombet M, Mery L, Piñeros M, Znaor A, Soerjomataram I, Bray F, 2020. Global Cancer Observatory: Colorectal Cancer Fact Sheet. Lyon, France: International Agency for Research on Cancer. Available from:https://gco.iarc. fr/today/data/factsheets/cancers/10_8_9-Colorectum-factsheet.
Pdf
García-Pérez J, Fernández de Larrea-Baz N, Lope V, Molina AJ, O’Callaghan-Gordo C, Alonso MH, Rodríguez-Suárez MM, Mirón-Pozo B, Alguacil J, Gómez-Acebo I, Ascunce N, Vanaclocha-Espi M, Amiano P, Chirlaque MD, Simó V, Jiménez-Moleón JJ, Tardón A, Moreno V, Castaño-Vinyals G, … Pollán M, 2020. Residential proximity to industrial pollution sources and colorectal cancer risk: A multicase-control study (MCC-Spain). Environment International, 144. DOI: https://doi.org/10.1016/j.envint.2020.106055
Gillis D, Edwards BPM, 2019. The utility of joinpoint regression for estimating population parameters given changes in population structure. Heliyon 5:e02515. DOI: https://doi.org/10.1016/j.heliyon.2019.e02515
Gondhowiardjo S, Christina N, Ganapati NPD, Hawariy S, Radityamurti F, Jayalie VF, Octavianus, S, Prawira Putra A, Sekarutami SM, Prajogi GB, Giselvania A, Adham M, Hamid ARAH, Widyastuti E, Prabowo Y, Aninditha T, Purwoto G, Aman RA, Siregar TP, Siswoyo Lisnawati AD, Handjari DR, Atmakusuma D, Rajabto W, Mulansari NA, Ratna N, Pitoyo CV, Panigoro SS, Kartini D, Yulian ED, Andrisa RS, Jeo WS, Wardhani RK, Tambunan TFU, Agianda F, Priyambodho, 2021. Five-year cancer epidemiology at the national referral hospital: hospital-based cancer registry data in Indonesia. JCO Global Oncol 7:190–203. DOI: https://doi.org/10.1200/GO.20.00155
Goodchild MF, 1986. 1986-Goodchild-spatial autocorrelation. Geo Books.
Goshayeshi L, Pourahmadi A, Ghayour-Mobarhan M, Hashtarkhani S, Karimian S, Shahhosein Dastjerdi R, Eghbali B, Seyfi E, Kiani B, 2019. Colorectal cancer risk factors in north-eastern Iran: A retrospective cross-sectional study based on geographical information systems, spatial autocorrelation and regression analysis. Geospatial Health 14:793 DOI: https://doi.org/10.4081/gh.2019.793
Guo C, Chan TC, Teng YC, Lin C, Bo Y, Chang LY, Lau AKH, Tam T, Wong MCS, Qian Lao X, 2020. Long-term exposure to ambient fine particles and gastrointestinal cancer mortality in Taiwan: A cohort study. Environ Int 138:105640 DOI: https://doi.org/10.1016/j.envint.2020.105640
Halimi L, Bagheri N, Hoseini B, Hashtarkhani S, Goshayeshi L, Kiani B, 2020. Spatial analysis of colorectal cancer incidence in Hamadan Province, Iran: a retrospective cross-sectional study. Appl Spat Analysis Policy 13:293–303. DOI: https://doi.org/10.1007/s12061-019-09303-9
Jemal A, Thun MJ, Ries LAG, Howe HL, Weir HK, Center MM, Ward E, Wu XC, Eheman C, Anderson R, Ajani UA, Kohler B, Edwards BK, 2008. Annual report to the nation on the status of cancer, 1975-2005, featuring trends in lung cancer, tobacco use, and tobacco control. J Nat Cancer Inst 100:1672–1694. DOI: https://doi.org/10.1093/jnci/djn389
Jensen OM, Parkin DM, MacLennan R, Muir CS, Skeet RG (eds.), 1991. Cancer registration: principles and methods. International Agency for Research on Cancer.
Jogja Cancer Registry. 2022. Report of Dr Sardjito Hospital-based Cancer Registry in March 2022. Report of Dr Sardjito Hospital-Based Cancer Registry in March 2022. Available from: https://canregfkugmacid/laporan-data/registrasi-kanker-berbasis-rumah-sakit-dr-sardjito-fkkmk-ugm/rkbr-maret-2022
Katsidzira L, Gangaidzo IT, Makunike-Mutasa R, Manyanga T, Matsena-Zingoni Z, Thomson S, Matenga JA, Rusakaniko S, Ramesar R, 2019. A case-control study of risk factors for colorectal cancer in an African population. Eur J Cancer Prev 28:145–150. DOI: https://doi.org/10.1097/CEJ.0000000000000439
Kim HI, Lim H, Moon A, 2018. Sex differences in cancer: epidemiology, genetics and therapy. Biomol Therap 26:335–342. DOI: https://doi.org/10.4062/biomolther.2018.103
Lee SY, 2018. Koreans’ awareness and preventive behaviors regarding colorectal cancer screening. Asian Pacific J Cancer Prev 19:2657.
Mahfouz EM, Sadek RR, Abdel-Latief WM, Mosallem FAH, Hassan EE, 2014. The role of dietary and lifestyle factors in the development of colorectal cancer: case control study in Minia, Egypt. Central Eur J Public Health 22:215–222. DOI: https://doi.org/10.21101/cejph.a3919
Mansori K, Solaymani-Dodaran M, Mosavi-Jarrahi A, Motlagh AG, Salehi M, Delavari A, Hosseini A, Asadi-Lari M, 2019. Determination of effective factors on geographic distribution of the incidence of colorectal cancer in Tehran using geographically weighted Poisson regression model. Med J Islamic Republic Iran 33(23). DOI: https://doi.org/10.47176/mjiri.33.23
MoH Indonesia, 2019. National report of basic health research 2018.
Mohammadzadeh Z, Ghazisaeedi M, Nahvijou A, Kalhori SRN, Davoodi S, Zendehdel K, 2017. Systematic review of hospital based cancer registries (HBCRs): Necessary tool to improve quality of care in cancer patients. Asian Pac J Cancer Prev 18:2027–2033.
Munkholm M, Mortensen J, 2014. Mucociliary clearance: pathophysiological aspects. Clin Physiol Functional Imaging 34:171–7. DOI: https://doi.org/10.1111/cpf.12085
Musoke D, Boynton P, Butler C, Musoke MB, 2014. Health seeking behaviour and challenges in utilising health facilities in Wakiso district, Uganda. Afr Health Sci 14:1046–55. DOI: https://doi.org/10.4314/ahs.v14i4.36
Prihatin RB, 2015. Alih fungsi lahan di perkotaan (studi kasus di kota Bandung dan Yogyakarta). [Land use change in urban areas (case studies in the cities of Bandung and Yogyakarta).] Aspirasi: Jurnal Masalah-Masalah Sosial 6:105–118. DOI: https://doi.org/10.22212/aspirasi.v6i2.507
Roquette R, Painho M, Nunes B, 2019. Geographical patterns of the incidence and mortality of colorectal cancer in mainland Portugal municipalities (2007–2011). BMC Cancer 19:512. DOI: https://doi.org/10.1186/s12885-019-5719-9
Sarakarn P, Suwanrungruang K, Vatanasapt P, Wiangnon S, Promthet S, Jenwitheesuk K, Koonmee S, Tipsunthonsak N, Chen SLS, Yen AMF, Chen THH, 2017. Joinpoint analysis trends in the incidence of colorectal cancer in Khon Kaen, Thailand (1989 - 2012). Asian Pacific J Cancer Prev 18:1039–1043.
Schullehner J, Hansen B, Thygesen M, Pedersen CB, Sigsgaard T, 2018. Nitrate in drinking water and colorectal cancer risk: A nationwide population-based cohort study. Int J Cancer 143:73–79. DOI: https://doi.org/10.1002/ijc.31306
Sekarningsih AT, Budianta W, Warmada IW, Hinode H, 2021. Urban soil assessment caused by heavy metals contamination in Yogyakarta City, Indonesia. IOP Conf Series 851:012026 DOI: https://doi.org/10.1088/1755-1315/851/1/012026
Setyono JS, Yunus HS, Giyarsih SR, 2016. The spatial pattern of urbanization and small cities development in Central Java: A case study of Semarang-Yogyakarta-Surakarta Region. Geoplanning 3:53–66. DOI: https://doi.org/10.14710/geoplanning.3.1.53-66
Soffian SSS, Nawi AM, Hod R, Chan HK, Hassan MRA, 2021. Area-level determinants in colorectal cancer spatial clustering studies: a systematic review. Int J Environ Res Public Health 2021;18:10486. DOI: https://doi.org/10.3390/ijerph181910486
Sohrabi M, Gholami A, Azar MHH, Yaghoobi M, Shahi MM, Shirmardi S, Nikkhah M, Kohi Z, Salehpour D, Khoonsari MR, Hemmasi G, Zamani F, Sohrabi M, Ajdarkosh H, 2018. Trace element and heavy metal levels in colorectal cancer: comparison between cancerous and non-cancerous tissues. Biol Trace Element Res 183:1–8. DOI: https://doi.org/10.1007/s12011-017-1099-7
Solikhah S, Perwitasari DA, Rejeki DSS, 2022. Geographic characteristics of various cancers in Yogyakarta Province, Indonesia: a spatial analysis at the community level. Asian Pacific J Cancer Prev 23:1231–8. DOI: https://doi.org/10.31557/APJCP.2022.23.4.1231
Sung JJY, Chiu HM, Jung KW, Jun JK, Sekiguchi M, Matsuda T, Kyaw MH, 2019. Increasing trend in young-onset colorectal cancer in Asia: more cancers in men and more rectal cancers. Am J Gastroenterol 114:322–329. DOI: https://doi.org/10.14309/ajg.0000000000000133
Thatcher EJ, Camacho F, Anderson RT, Li L, Cohn WF, DeGuzman PB, Porter KJ, Zoellner JM, 2021. Spatial analysis of colorectal cancer outcomes and socioeconomic factors in Virginia. BMC Public Health 21:1–10. DOI: https://doi.org/10.1186/s12889-021-11875-6
Tjindarbumi D, Mangunkusumo R, 2002. Cancer in Indonesia, present and future. Japanese J Clinical Oncol 32:S17-21. DOI: https://doi.org/10.1093/jjco/hye123
Wang M, Liu R, Chen W, Peng C, Markert B, 2017. Effects of urbanization on heavy metal accumulation in surface soils, Beijing. J Environ Sci (China) 64:328–334. DOI: https://doi.org/10.1016/j.jes.2016.11.026
Wen D, Zou W, Wen X, Yang Y, Chen Y, He Y, Wang G, Shan B, 2018. Urban-rural disparity in colorectal cancer incidence and increasing trend in relation to socioeconomic development and urbanization in China. J Int Med Res 46:4181–96. DOI: https://doi.org/10.1177/0300060518791090
Wheeler SB, Basch E, 2017. Translating cancer surveillance data into effective public health interventions. JAMA 317:365–7. DOI: https://doi.org/10.1001/jama.2016.20326
World Health Organization, 2013. Health effects of particulate matter: Policy implications for countries in eastern Europe, Caucasus and central Asia. Available from: https://www.euro.who.int/__data/assets/pdf_file/0006/189051/Health-effects-of-particulate-matter-final-Eng.pdf
Xu J, Lin Y, Yang M, Zhang L, 2020. Statistics and pitfalls of trend analysis in cancer research: a review focused on statistical packages. J Cancer 11:2957–61. DOI: https://doi.org/10.7150/jca.43521

How to Cite

Wiranata, J. A., Puspitaningtyas, H. ., Hutajulu, S. H., Fachiroh, J., Anggorowati, N., Sanjaya, G. Y., Lazuardi, L., & Sripan, P. (2023). Temporal and spatial analyses of colorectal cancer incidence in Yogyakarta, Indonesia: a cross-sectional study. Geospatial Health, 18(1). https://doi.org/10.4081/gh.2023.1186