Spatiotemporal Variations in Gastric Cancer Mortality and Their Relations to Influencing Factors in S County, China
Bibliographic Data
| ID | 15501401 |
|---|---|
| Authors | Cheng Cui (0000-0001-8402-6459, University of Chinese Academy of Sciences), Baohua Wang (0009-0007-1749-7841, National Center for Chronic and Noncommunicable Disease Control and Prevention, corresponding author), Hongyan Ren (0000-0002-8175-0625, Institute of Geographic Sciences and Natural Resources Research, corresponding author), Zhen Wang (0000-0001-6729-2640, Chinese Academy of Sciences) |
| Year | 2019 |
| Volume | 16 |
| Issue | 5 |
| Pages | 784-784 |
| Publication date | 2019-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph16050784 |
| PMID | 30836673 |
| OpenAlex | W2919508445 |
| Language | EN |
| Citations received | 3 |
| References cited | 33 |
Increasingly stricter and wider official efforts have been made by multilevel Chinese governments for seeking the improvements of the environment and public health status. However, the contributions of these efforts to environmental changes and spatiotemporal variations in some environmental diseases have been seldom explored and evaluated. Gastric cancer mortality (GCM) data in two periods (I: 2004−2006 and II: 2012−2015) was collected for the analysis of its spatiotemporal variations on the grid scale across S County in Central China. Some environmental and socioeconomic factors, including river, farmlands, topographic condition, population density, and gross domestic products (GDP) were obtained for the exploration of their changes and their relationships with GCM's spatiotemporal variations through a powerful tool (GeoDetector, GD). During 2004−2015, S County achieved environmental improvement and socioeconomic development, as well as a clear decline of the age-standardized mortality rate of gastric cancer from 35.66/105 to 23.44/105. Moreover, the GCM spatial patterns changed on the grid scale, which was spatially associated with the selected influencing factors. Due to the improvement of rivers' water quality, the distance from rivers posed relatively larger but reversed impacts on the gridded GCM. In addition, higher population density and higher economic level (GDP) acted as important protective factors, whereas the percentage of farmlands tended to have adverse effects on the gridded GCM in period II. It can be concluded that the decline of GCM in S County was spatiotemporally associated with increasingly strengthened environmental managements and socioeconomic developments over the past decade. Additionally, we suggest that more attentions should be paid to the potential pollution caused by excessive pesticides and fertilizers on the farmlands in S County. This study provided a useful clue for local authorities adopting more targeted measures to improve environment and public health in the regions similar to S County
Archaeology · Cancer · China · Environmental health · Geography · Sociology · Bladder and Urothelial Cancer Treatments · Colorectal Cancer Screening and Detection · Demography · Esophageal Cancer Research and Treatment · Medicine · Internal Medicine
Interpreting Posterior Relative Risk Estimates in Disease-Mapping Studies
Empirical Bayes Estimates of Age-Standardized Relative Risks for Use in Disease Mapping
Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China
Cancer statistics in China, 2015
Identification of Health Risks of Hand, Foot and Mouth Disease in China Using the Geographical Detector Technique
Association between Changing Mortality of Digestive Tract Cancers and Water Pollution
A Computer Movie Simulating Urban Growth in the Detroit Region
Why is poverty unhealthy? Social and physical mediators
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2020 - 2022 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |