A comparative analysis of factors influencing colorectal cancer's age standardized mortality ratio among Korean women in the hot and cold spotsopen access
- Authors
- Lee, ChuelWon; Kim, SungMin; Woo, JaeHyun
- Issue Date
- Sep-2022
- Publisher
- Public Library of Science
- Keywords
- Abdominal Obesity; Aging; Alcohol Consumption; Anus Cancer; Article; Autocorrelation; Breast Cancer; Cancer Mortality; Cluster Analysis; Cold Stress; Colon Cancer; Colorectal Cancer; Diabetes Mellitus; Drinking; Female; Food Intake; Geographic Information System; Human; Lifestyle; Livestock; Mortality; Multiple Regression; Risk Factor; Seashore; Smoking; Standardized Incidence Ratio; Standardized Mortality Ratio; Systematic Review; Time Series Analysis; Breast Tumor; City; Colorectal Tumor; Incidence; South Korea; Breast Neoplasms; Cities; Colorectal Neoplasms; Female; Humans; Incidence; Republic Of Korea
- Citation
- PLoS ONE, v.17, no.9, pp 1 - 15
- Pages
- 15
- Indexed
- SCIE
SCOPUS
- Journal Title
- PLoS ONE
- Volume
- 17
- Number
- 9
- Start Page
- 1
- End Page
- 15
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/2601
- DOI
- 10.1371/journal.pone.0273995
- ISSN
- 1932-6203
1932-6203
- Abstract
- The study aimed at exploring factors that most influence colorectal cancer (CRC) age standardized mortality ratio (ASMR) among Korean women, as reported in previous studies. The factors used the data of 250 municipalities from the Korean Statistical Information Service (KOSIS) from 2010 to 2018. In the exploratory survey, over 70% of women aged 65 and above died of colorectal cancer. After investigating the existing literature and theories, 250 regions were classified into hot and cold spots according to age standardized mortality ratio (ASMR). The Nearest Neighbor Index (NNI), Moran's I index and The Durbin-Watson test were also utilized. The ASMR's regional cluster analysis showed that the inland areas were the hot spots and the cold spots were in the southwest coastal areas. The result also showed the differences in dwellers' lifestyles between these two regions as well as the mean difference between the two. In addition, there was no significant difference in ASMR for breast cancer, CRC deaths, and agricultural product shipments between the two regions. In the multiple regression model, CRC mortality, diabetes, and CRC age standardized incidence ratio (ASIR) were analyzed as major influencing factors, demonstrated a significant result with 30.6% by examining the adjusted R-squared. However, this study showed that factors such as smoking, alcohol consumption, abdominal obesity, breast cancer, and food consumption indicated to have less influence on the occurrence of CRC. The aging rate, amount of food consumption, seafood production, livestock product shipments, and drinking rate were higher in the cold spot than in the hot spot. © 2022 Lee et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Collections - College of Life Science and Biotechnology > Department of Biomedical Engineering > 1. Journal Articles

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