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Spatial distribution and influencing factors of thyroid cancer hospitalization rate among rural residents in Fujian Province, China from 2012 to 2016. | LitMetric

Spatial distribution and influencing factors of thyroid cancer hospitalization rate among rural residents in Fujian Province, China from 2012 to 2016.

Environ Sci Pollut Res Int

Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, The School of Public Health, Fujian Medical University, Fuzhou, China.

Published: March 2023

AI Article Synopsis

  • The study analyzed thyroid cancer hospitalization rates in Fujian Province from 2012 to 2016 using data from 2025 hospitals and explored spatial patterns and influencing factors.
  • Results showed significant variability in hospitalization rates, predominantly concentrated in Fuzhou and surrounding areas, indicating a need for targeted healthcare resources.
  • Key environmental factors affecting hospitalization rates were identified, with air quality index (AQI) having the strongest positive correlation, while carbon sequestration negatively impacted rates, highlighting the importance of local conditions in healthcare planning.

Article Abstract

This study aimed to explore the spatial distribution and influencing factors of thyroid cancer hospitalization rates in Fujian Province from 2012 to 2016. Hospitalization reimbursement records for thyroid cancer were obtained from 2025 hospitals in Fujian Province from 2012 to 2016. The Moran's I method was used for spatial autocorrelation analysis and to further draw a spatial cluster map in Fujian. Geographic detectors were used to explore the effect of risk factors on spatial heterogeneity of inpatient service utilization for thyroid cancer. The study showed that there was obvious temporal and spatial heterogeneity in the utilization rate of inpatient services for thyroid cancer in Fujian Province, which were mainly concentrated in Fuzhou, with Lianjiang County as the center, and the gathering area involves 26 counties and cities. Among a variety of environmental factors, air quality index (AQI) (q = 0.481), carbon sequestration (q = 0.161), and carbon emissions (q = 0.155) were the main factors affecting the hospitalization rates. AQI and carbon emissions were generally positively correlated with hospitalization rates, and carbon sequestration was negatively correlated. After the interaction of the two factors, the interpretation of the hospitalization rate was enhanced. The obvious spatial heterogeneity will help the relevant departments to adjust measures to local conditions and allocate medical resources rationally to ease the pressure of seeking medical attention in high-demand areas.

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Source
http://dx.doi.org/10.1007/s11356-023-25463-1DOI Listing

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