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다국어 초록 (Multilingual Abstract)

Purpose: This study aims to examine the association between the occurrence of diabetic foot and climatic factors (i.e., temperature, humidity, and diurnal temperature range) and atmospheric particulate matter.

Methods: Open data were collected to conduct a big data study. Patient information was gathered from the National Health Insurance Service, temperature and humidity information was collected from the Korea Meteorological Administration's Weather Floor portal, and the National Institute of Environmental Science's air quality data was used. The lag period from weather and air quality changes to the actual amputation operation was calculated for each factor. The frequency of diabetic foot amputation in each region was identified and analyzed using a distributed lag non-linear model.

Results: The relative risk was highly correlated with increasing diurnal temperature range in the capital area areas and increasing relative humidity in low-latitude regions. SO2 and CO were highest in Gangwon-do. NO2 was highest in Chungcheongnam-do, and O3 was highest in the Jeju-do. High PM10 was observed in Gangwon-do, and PM2.5 was high in Gangwon-do and Gyeongsangbuk-do.

Conclusion: The risk of diabetic foot amputation associated with the diurnal temperature range was high in the capital area, and the risk associated with relative humidity was high in the low-latitude regions. The risk associated with atmospheric particulate matter also differed from region to region.

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국문 초록 (Abstract)

목적: 기후 요소 온도 , 습도 , 일교차 ), 대기질 미세먼지 요소와 당뇨발 발생 사이의 연관성을 확인한다

방법: 대규모 자료 연구를 시행하기 위해 개방형 자료를 수집하였다 . 환자정보는 국민건강보험공단 , 온도 및 습도는 기상청 날씨마루 포털 , 대기질은 에어코리아 포털 및 국립 환경 과학원 자료를 이용했다 . 기상 변화 및 대기질 변화가 실제 절단 시술까지 진행되는데 소요되는 지연기간을 각 인자별로 산정하였으며 , 각 지역별 당뇨발 절단 빈도 파악 후 istributed lag non linear model 을 통해 분석하였다

결과: 상대위험도는 수도권 지역에서 일 교차가 증가할수록 , 저위도 지역에 서 상대 습도 증가할수록 높은 연관성이 나타났다 . SO 2 와 CO 는 강원 . NO 2는 충남 , O 3 는 제주 지역에서 가장 높았다 . PM10 는 강원 , PM2.5 는 강원과
경북지역에서 높았다

결론: 일교차는 수도권 , 상대 습도는 저위도 지역에서 당뇨발 절단의 위험이 높게 나타났다 . 대기질 미세먼지 요소도 지역마다 달랐다

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목적: 기후 요소 온도 , 습도 , 일교차 ), 대기질 미세먼지 요소와 당뇨발 발생 사이의 연관성을 확인한다 방법: 대규모 자료 연구를 시행하기 위해 개방형 자료를 수집하였다 . 환자정보는 ...

목차 (Table of Contents)

Ⅰ. Introduction ······················································· 10
1. Introduction 1 ····················································· 10
2. Introduction 2 ····················································· 11
Ⅱ. Study Purpose ···················································· 12
1. Study Purpose 1 ·················································· 12

Ⅰ. Introduction ······················································· 10
1. Introduction 1 ····················································· 10
2. Introduction 2 ····················································· 11
Ⅱ. Study Purpose ···················································· 12
1. Study Purpose 1 ·················································· 12
Ⅲ. Subjects and Methods ······································· 13
1. Subjects 1 ··························································· 13
2. Subjects 2 ··························································· 14
Ⅵ. Results ····························································· 18
1. Results 1 ···························································· 18
2. Results 2 ···························································· 20
Ⅴ. Discussion ························································ 29
1. Discussion 1 ······················································ 29
2. Discussion 2 ······················································ 31
3. Discussion 3 ······················································ 34
Ⅵ. Conclusion ······················································· 35
References ···························································· 36
Appendix ······························································ 39
Acknowledgment ················································· 50

참고문헌 (Reference)

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