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Regional Variation in the Incidence of Diabetes-Related Lower Limb Amputations and Its Relationship with the Regional Factors

당뇨병 합병증으로 인한 하지 절단율의 지역적 변이 및 지역 특성 요인과의 관계 분석

  • Won, Sung Hun (Department of Orthopedic Surgery, Soon Chun Hyang University Seoul Hospital) ;
  • Kim, Jahyung (Department of Orthopedic Surgery, Soon Chun Hyang University Seoul Hospital) ;
  • Chun, Dong-Il (Department of Orthopedic Surgery, Soon Chun Hyang University Seoul Hospital) ;
  • Yi, Young (Department of Orthopedic Surgery, Seoul Paik Hospital, Inje University College of Medicine) ;
  • Park, Suyeon (Department of Biostatistics, Soon Chun Hyang University Seoul Hospital) ;
  • Jung, Kwang-Young (Division of Genome Research, Center for Genome Science, Korea National Institute of Health) ;
  • Park, Gun-Hyun (Department of Orthopedic Surgery, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine) ;
  • Cho, Jaeho (Department of Orthopedic Surgery, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine)
  • 원성훈 (순천향대학교 부속 서울병원 정형외과) ;
  • 김재형 (순천향대학교 부속 서울병원 정형외과) ;
  • 천동일 (순천향대학교 부속 서울병원 정형외과) ;
  • 이영 (인제대학교 의과대학 서울백병원 정형외과학교실) ;
  • 박수연 (순천향대학교 부속 서울병원 의학통계학교실) ;
  • 정광영 (국립보건연구원 유전체센터 유전체연구과) ;
  • 박근현 (한림대학교 의과대학 춘천성심병원 정형외과학교실) ;
  • 조재호 (한림대학교 의과대학 춘천성심병원 정형외과학교실)
  • Received : 2019.08.02
  • Accepted : 2019.08.26
  • Published : 2019.09.15

Abstract

Purpose: To investigate the spatial distribution of diabetes-related lower limb amputations and analyze the relationship between the spatial distribution of diabetes-related lower limb amputations and regional factors. Materials and Methods: This study was performed based on the data from the Korean Health Insurance Review and Assessment Service, in 2016. The unit of analysis was the administrative districts of city·gun·gu. The dependent variable was the age- and sex-adjusted incidence of diabetes-related lower limb amputations and the regional variables were selected to represent two aspects: socioeconomic factors, and health and medical factors. Along with traditional ordinary least square (OLS) regression analysis, geographically weighted regression (GWR) was applied for spatial analysis. Results: The age- and sex-adjusted incidence of diabetes-related lower limb amputation varied according to region. OLS regression showed that the incidence of diabetes-related lower limb amputation had significant relationships with the health and medical factors (number of healthcare institution and doctors per 100,000 population). In GWR, the effects of regional factors were not consistent. Conclusion: The spatial distribution of the incidence of diabetes-related lower limb amputations and the effects of regional factors varied according to the regions. The regional characteristics should be considered when establishing health policy related to diabetic foot care.

Keywords

References

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