7 research outputs found

    Preoperative frailty using FI-LAB and postoperative health outcomes in patients undergoing coronary artery bypass graft surgery

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    ์˜๋ฃŒ๊ธฐ์ˆ ์˜ ๋ฐœ๋‹ฌ๊ณผ ๋…ธ์ธ ์ธ๊ตฌ์˜ ์ฆ๊ฐ€๋กœ ์ˆ˜์ˆ  ํ™˜์ž์˜ ํ‰๊ท  ์—ฐ๋ น์ด ๋†’์•„์ง€๋ฉด์„œ ํ™˜์ž์˜ ํ—ˆ์•ฝ์„ ๊ณ ๋ คํ•œ ์ˆ˜์ˆ  ์ „ํ›„ ๊ฐ„ํ˜ธ์˜ ํ•„์š”์„ฑ์ด ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ํŠนํžˆ ์‹ฌํ˜ˆ๊ด€์งˆํ™˜์ž๋Š” ํ—ˆ์•ฝ์˜ ์œ„ํ—˜์„ฑ์ด ๋†’๊ธฐ ๋•Œ๋ฌธ์— ๊ด€์ƒ๋™๋งฅ์šฐํšŒ์ˆ  ํ™˜์ž์˜ ์ˆ˜์ˆ  ์ „ ํ—ˆ์•ฝ์ด ์ˆ˜์ˆ  ํ›„ ๊ฑด๊ฐ• ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์‹ฌ๋„ ์žˆ๊ฒŒ ๋…ผ์˜๋˜์–ด์•ผ ํ•œ๋‹ค. ๋‹ค์–‘ํ•œ ํ—ˆ์•ฝ ํ‰๊ฐ€ ๋ฐฉ๋ฒ• ์ค‘ EMR์„ ์ด์šฉํ•œ ๋ฐฉ๋ฒ•์€ ์ž…์›ํ•œ ํ™˜์ž์˜ ํ—ˆ์•ฝ ์ˆ˜์ค€์„ ํ™•์ธํ•˜๋Š”๋ฐ ํšจ๊ณผ์ ์œผ๋กœ ์‚ฌ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ž…์› ์‹œ ์ผ๋ฐ˜์ ์œผ๋กœ ์ˆ˜์ง‘ํ•˜๋Š” ํ™œ๋ ฅ์ง•ํ›„์™€ ๊ฒ€์ฒด ๊ฒ€์‚ฌ ๊ฒฐ๊ณผ๋ฅผ ํ™œ์šฉํ•˜์—ฌ ์ˆ˜์ˆ  ์ „ ํ—ˆ์•ฝ ์ˆ˜์ค€์„ ํ‰๊ฐ€ํ•˜๊ณ , ํ—ˆ์•ฝ์ด ๊ด€์ƒ๋™๋งฅ์šฐํšŒ์ˆ  ํ›„ ์žฌ์›์ผ์ˆ˜, ์ค‘ํ™˜์ž์‹ค ์žฌ์›์ผ์ˆ˜, 30์ผ ๋‚ด ์žฌ์ž…์›์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•œ ํ›„ํ–ฅ์  ์กฐ์‚ฌ์—ฐ๊ตฌ์ด๋‹ค. 2015๋…„ 8์›” 1์ผ๋ถ€ํ„ฐ 2020๋…„ 7์›” 31์ผ๊นŒ์ง€ ๊ด€์ƒ๋™๋งฅ์šฐํšŒ์ˆ ์„ ์‹œํ–‰ ๋ฐ›์€ A ๋ณ‘์›์˜ ํ™˜์ž๋“ค์˜ ์˜๋ฌด๊ธฐ๋ก์„ ๋ถ„์„ํ•˜์—ฌ ์ผ๋ฐ˜์  ํŠน์„ฑ, ์ˆ˜์ˆ  ์ „ ๊ฑด๊ฐ•์ƒํƒœ, ์ˆ˜์ˆ  ๊ด€๋ จ ์š”์ธ, ์ˆ˜์ˆ  ํ›„ ๊ฑด๊ฐ• ์„ฑ๊ณผ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ํ—ˆ์•ฝ ์ˆ˜์ค€์„ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•ด Blodgett et al (2017)์˜ Frailty Index-Laboratory (FI-LAB) ๋„๊ตฌ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ 27๊ฐœ์˜ ๊ฒ€์ฒด ๊ฒ€์‚ฌ ๊ฒฐ๊ณผ์™€ 5๊ฐœ์˜ ํ™œ๋ ฅ์ง•ํ›„๋ฅผ ๋ถ„์„ํ•˜๊ณ  ํ—ˆ์•ฝ ์ง€์ˆ˜๋ฅผ ๊ณ„์‚ฐํ•˜์˜€๋‹ค. ๊ธฐ์ˆ  ํ†ต๊ณ„๋กœ ๋Œ€์ƒ์ž์˜ ํŠน์„ฑ์„ ํ™•์ธํ•˜๊ณ  ANOVA, ฯ‡2 test๋กœ ํ—ˆ์•ฝ ์ˆ˜์ค€์— ๋”ฐ๋ฅธ ํŠน์„ฑ์„ ๋น„๊ตํ•œ ํ›„ ๋‹ค์ค‘ ์„ ํ˜•ํšŒ๊ท€๋ถ„์„๊ณผ ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„์œผ๋กœ ํ—ˆ์•ฝ์ด ์ˆ˜์ˆ  ํ›„ ๊ฑด๊ฐ• ์„ฑ๊ณผ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์ฃผ์š” ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. 1. ์—ฐ๊ตฌ์— ํฌํ•จ๋œ ๊ด€์ƒ๋™๋งฅ์šฐํšŒ์ˆ  ํ™˜์ž 896๋ช…์˜ ํ‰๊ท  ์—ฐ๋ น์€ 66์„ธ์˜€๊ณ  ๋‚จ์„ฑ์ด 78%๋กœ ์—ฌ์„ฑ์— ๋น„ํ•ด 3๋ฐฐ ์ด์ƒ ๋งŽ์•˜๋‹ค. ์ฒด์งˆ๋Ÿ‰์ง€์ˆ˜์˜ ํ‰๊ท ์€ 24.7kg/m2์˜€์œผ๋ฉฐ ๊ณผ์ฒด์ค‘๊ณผ ๋น„๋งŒ ํ™˜์ž๊ฐ€ ์ „์ฒด์˜ 71.8%์˜€๋‹ค. 2. ํ—ˆ์•ฝ ์ง€์ˆ˜์˜ ํ‰๊ท ์€ 0.3 ์ด์—ˆ์œผ๋ฉฐ ํ—ˆ์•ฝ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์„ธ ๊ทธ๋ฃน์œผ๋กœ ๋‚˜๋ˆ„์—ˆ์„ ๋•Œ ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋‚ฎ์€ ๊ทธ๋ฃน(FI-LAB0.4)์€ 22.1%๋ฅผ ์ฐจ์ง€ํ•˜์˜€๋‹ค. 3. ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ๋Œ€์ƒ์ž์˜ ๋‚˜์ด, ๋™๋ฐ˜์งˆํ™˜์ง€์ˆ˜, ๋ณต์šฉ์•ฝ๋ฌผ ๊ฐœ์ˆ˜, ์ˆ˜์ˆ  ํ›„ ์ค‘์ฆ๋„ ์ ์ˆ˜๊ฐ€ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋†’์„์ˆ˜๋ก ์ˆ˜์ˆ  ์ „ ๊ธฐ๋Šฅํ‰๊ฐ€์ ์ˆ˜์™€ ์ขŒ์‹ฌ์‹ค ๋ฐ•์ถœ๋ฅ ์€ ๊ฐ์†Œํ•˜์˜€๋‹ค. 4. ์ˆ˜์ˆ  ์ „ ๊ฑด๊ฐ•์ƒํƒœ์™€ ์ˆ˜์ˆ  ๊ด€๋ จ ์š”์ธ์˜ ์˜ํ–ฅ์„ ๋ณด์ •ํ–ˆ์„ ๋•Œ ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋†’์€ ๊ทธ๋ฃน์€ ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋‚ฎ์€ ๊ทธ๋ฃน์— ๋น„ํ•ด ์žฌ์›์ผ์ˆ˜๊ฐ€ ํ‰๊ท ์ ์œผ๋กœ 2.20์ผ ์ฆ๊ฐ€ํ•˜์˜€๊ณ (p=.023), ์ค‘ํ™˜์ž์‹ค ์žฌ์›์ผ์ˆ˜๋Š” ํ‰๊ท  0.89์ผ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค(p=.009). ํ‡ด์› ํ›„ 30์ผ ๋‚ด ์žฌ์ž…์›์„ ํ•  ์˜ค์ฆˆ๋น„๋Š” ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋‚ฎ์€ ๊ทธ๋ฃน์— ๋น„ํ•ด ํ—ˆ์•ฝ ์ˆ˜์ค€์ด ๋†’์€ ๊ทธ๋ฃน์ด 2.58๋ฐฐ ๋†’์•˜๋‹ค(p=.022). ๋ณธ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ์ˆ˜์ˆ  ์ „ ํ—ˆ์•ฝ์ด ์ˆ˜์ˆ  ํ›„ ์žฌ์›์ผ์ˆ˜, ์ค‘ํ™˜์ž์‹ค ์žฌ์›์ผ์ˆ˜์™€ 30์ผ ๋‚ด ์žฌ์ž…์›์— ๋Œ€ํ•œ ์œ ์˜ํ•œ ์˜ํ–ฅ ์ธ์ž์ž„์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋†’์€ ํ—ˆ์•ฝ ์ˆ˜์ค€์€ ๊ด€์ƒ๋™๋งฅ์šฐํšŒ์ˆ  ํ›„ ๋ถ€์ •์ ์ธ ๊ฑด๊ฐ• ์„ฑ๊ณผ์™€ ๊ด€๋ จ์ด ์žˆ์—ˆ์œผ๋ฉฐ ์ด๋Š” ํ†ต์ƒ์ ์ธ ๋ฐฉ๋ฒ•์œผ๋กœ ํ‰๊ฐ€ํ•œ ํ—ˆ์•ฝ๊ณผ ๊ฑด๊ฐ• ์„ฑ๊ณผ์™€์˜ ๊ด€๊ณ„์™€ ์œ ์‚ฌํ•˜์˜€๋‹ค. ๋”ฐ๋ผ์„œ ์ž…์› ์‹œ ์ผ์ƒ์ ์œผ๋กœ ์ˆ˜ํ–‰ํ•˜๋Š” ๊ฒ€์ฒด ๊ฒ€์‚ฌ์™€ ํ™œ๋ ฅ์ง•ํ›„๋ฅผ ์ด์šฉํ•œ ์ „์ž์˜๋ฌด๊ธฐ๋ก ๊ธฐ๋ฐ˜ ํ—ˆ์•ฝ ํ‰๊ฐ€๋Š” ์ˆ˜์ˆ  ์ „ ํ—ˆ์•ฝํ•œ ํ™˜์ž๋ฅผ ์‹๋ณ„ํ•˜๋Š”๋ฐ ๋„์›€์ด ๋  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค. Background: The mean age of patients undergoing surgery has increased owing to improvements in medical technology and prolonged lifespan. As patients with cardiovascular diseases are more likely to be frail, preoperative discussion, including patientsโ€™ frailty level, is necessary to prevent negative health outcomes after coronary artery bypass graft (CABG) surgery. Frailty is a state of decreased physiological capacity to cope with stressors, such as surgery; hence, it contributes to increased mortality after the surgery. The mechanisms of frailty are complex and are affected by many factors, and many methods to assess frailty are available. The frailty assessment tool for patients undergoing CABG surgery should be accurate and simple to apply while they await the surgery; hence, an electronic medical record (EMR)-based assessment can be useful. Purpose: This retrospective survey aimed to identify the effect of frailty, which was assessed using laboratory data and vital signs, on postoperative health outcomes in patients undergoing CABG surgery. Method: We used the EMR data of patients who underwent CABG surgery between August 1st, 2015 and July 31st, 2020. The general characteristics, preoperative health status, surgery-related characteristics, and postoperative health outcomes of these patients were analyzed. The frailty index-laboratory (FI-LAB), which is composed of 32 routine laboratory data and vital signs, was used for frailty assessment. Results: The mean age of the 896 analyzed patients was 66 years, and 78% of patients included in this study were men. The mean body mass index was 24.7 kg/m2; the overweight and obese patients in this study were 71.8%. The mean FI-LAB score was 0.3 ยฑ 0.1. The patients were divided into the following three groups according to their FI-LAB score: low (FI-LAB0.4, 22.1%). The weighted Charlson comorbidity index, the number of medications prescribed, and Acute Physiology and Chronic Health Evaluation โ…ก score were significantly higher in the high level of frailty group; however, the preoperative modified Barthel index and left ventricular ejection fraction were significantly lower in the same group. After adjusting the effect of age, sex, preoperative health status, and surgery-related factors, the high level of frailty group showed an increase of 2.20 days in the length of stay and 0.89 days in the length of intensive care unit stay compared to the low level of frailty group. The odds ratio of readmission within 30 days increased 2.58 times in the high level of frailty group compared to the low level of frailty group after covariance was adjusted. Conclusion: The frailty index using routine laboratory data and vital signs of EMRs was associated with negative health outcomes after CABG surgery, similar to the results of previous studies, which used conventional methods to assess frailty, such as the Friedโ€™s frailty phenotype or Rockwoodโ€™s frailty index. Therefore, this type of EMR-based frailty assessment could be helpful to identify frail patients without additional efforts in the clinical settings.prohibition์„

    Analysis of the relationship Between Socioeconomic Status and Hypertension Control in Korea

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    ๋ณด๊ฑด์ •์ฑ…๊ด€๋ฆฌํ•™๊ณผ/์„์‚ฌ[ํ•œ๊ธ€]์ด ์—ฐ๊ตฌ๋Š” ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€๊ณผ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์˜ ๊ด€๋ จ์„ฑ์„ ํŒŒ์•…ํ•˜๊ณ , ์ด๋ฅผ๋ฐ”ํƒ•์œผ๋กœ ๊ณ ํ˜ˆ์•• ๊ด€๋ฆฌ๋ฅผ ์œ„ํ•œ ๋ณด๋‹ค ํšจ๊ณผ์ ์ธ ๋ณด๊ฑด์ •์ฑ… ๊ฐœ๋ฐœ์— ํ•„์š”ํ•œ ๊ธฐ์ดˆ์ •๋ณด๋ฅผ ์ œ๊ณตํ•˜๊ณ ์ž ์‹œํ–‰๋˜์—ˆ๋‹ค.โ€˜2007๋…„ ๊ตญ๋ฏผ๊ฑด๊ฐ•์˜์–‘์กฐ์‚ฌ ์ž๋ฃŒโ€™๋ฅผ ์ด์šฉํ•œ ๋‹จ๋ฉด์—ฐ๊ตฌ(cross-sectionalstudy)๋กœ์„œ, ์ „๊ตญ ๋งŒ 19์„ธ ์ด์ƒ์„ ๋Œ€์ƒ์œผ๋กœ ๊ฑด๊ฐ•์„ค๋ฌธ ๋ฐ ๊ฒ€์ง„์กฐ์‚ฌ๋ฅผ ์™„๋ฃŒํ•œ3,040๋ช… ์ค‘์—์„œ ๊ณ ํ˜ˆ์•• ์œ ๋ณ‘์ž๋กœ ๋ถ„๋ฅ˜๋œ 809๋ช…์„ ๋Œ€์ƒ์œผ๋กœ SAS 9.1์„ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์„ ๋…๋ฆฝ๋ณ€์ˆ˜๋กœ, ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ ์—ฌ๋ถ€๋ฅผ ์ข…์†๋ณ€์ˆ˜๋กœ ํ•˜์—ฌ, ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€๊ณผ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ ์—ฌ๋ถ€๋ฅผ ์นด์ด์ œ๊ณฑ๊ฒ€์ •(chi-square test)์œผ๋กœ ๋ถ„์„ํ•˜์˜€์œผ๋ฉฐ, ๋ณ€์ˆ˜๋“ค๊ฐ„์˜ ์˜ํ–ฅ์„ ๋ฐฐ์ œํ•˜๊ธฐ ์œ„ํ•ด ๋กœ์ง€์Šคํ‹ฑ ํšŒ๊ท€๋ถ„์„(Logistic regression)์„ ์‹ค์‹œํ•˜์˜€๋‹ค.๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค.์ฒซ์งธ, ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์— ๋”ฐ๋ฅธ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์€ ์†Œ๋“, ์ง์—…, ๊ฒฐํ˜ผ์ƒํƒœ์—์„œ์ฐจ์ด๋ฅผ ๋ณด์˜€์œผ๋ฉฐ, ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค.๋‘˜์งธ, ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€๊ณผ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ๊ณผ์˜ ๊ด€๋ จ์„ฑ์€ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์„๊ฐ๊ฐ ๋ณด์ •ํ•œ ๊ฒฝ์šฐ์—๋Š” ์†Œ๋“, ๊ต์œก, ์ง์—…, ์ฃผํƒ์†Œ์œ ์—ฌ๋ถ€๊ฐ€ ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๊ณ , ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์„ ํ•œ ๊ฐ€์ง€์”ฉ ์ถ”๊ฐ€ํ•˜์—ฌ ๋ณด์ •ํ•œ ๊ฒฝ์šฐ์—๋Š” ์†Œ๋“, ๊ต์œก, ์ง์—…์ด ํ†ต๊ณ„์ ์œผ๋กœ ์œ ์˜ํ•˜์˜€๋‹ค.์…‹์งธ, ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€ ์ค‘์—์„œ ์œ ์˜ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๋ณด์ธ ์†Œ๋“, ๊ต์œก, ์ง์—…,์ฃผํƒ์†Œ์œ ์—ฌ๋ถ€๋Š” ๋Œ€์ฒด์ ์œผ๋กœ ๋‚ฎ์€ ์ˆ˜์ค€์— ๋น„ํ•ด ๋†’์€ ์ˆ˜์ค€์—์„œ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด๋” ์ž˜๋˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๊ต์œก์€ ๋‚ฎ์€ ์ˆ˜์ค€์— ๋น„ํ•ด ๋†’์€ ์ˆ˜์ค€์—์„œ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ๋” ์ž˜ ๋˜์—ˆ๋‹ค. ๋ฐ˜๋ฉด, ์†Œ๋“์€1์‚ฌ๋ถ„์œ„์— ๋น„ํ•ด 3์‚ฌ๋ถ„์œ„์—์„œ ๊ณ ํ˜ˆ์••์กฐ์ ˆ์ด ์ž˜๋˜์—ˆ์œผ๋‚˜, 4์‚ฌ๋ถ„์œ„์—์„œ๋Š” 3์‚ฌ๋ถ„์œ„์— ๋น„ํ•ด ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ์ž˜ ๋˜์ง€์•Š์•˜๋‹ค. ๋˜ํ•œ, ๊ธฐํƒ€์ง์— ๋น„ํ•ด ์œก์ฒด๋…ธ๋™์ง๊ณผ ๋…ธ๋™์ง์˜ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ๋‚ฎ์•˜๊ณ , ์œก์ฒด๋…ธ๋™์ง์˜ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ๋‹ค์†Œ ๋†’์•˜์œผ๋ฉฐ, ํ†ต๊ณ„์ ์œผ๋กœ๋„ ์œ ์˜ํ•˜์˜€๋‹ค.์ด๋Ÿฌํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋“ค์„ ์ข…ํ•ฉํ•ด ๋ณผ ๋•Œ, ์šฐ๋ฆฌ๋‚˜๋ผ์—์„œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์„๋Œ€ํ‘œํ•˜๋Š” ์†Œ๋“, ๊ต์œก, ์ง์—…์€ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ๊ณผ ๊ด€๋ จ์ด ์žˆ์—ˆ์œผ๋ฉฐ, ๊ต์œก์ˆ˜์ค€์ด์ฆ๊ฐ€ํ• ์ˆ˜๋ก ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ์ž˜๋˜๋Š” ์„ ํ–‰๊ด€๊ณ„๋ฅผ ๋ณด์˜€๋‹ค.๋”ฐ๋ผ์„œ, ๊ณ ํ˜ˆ์•• ์œ ๋ณ‘์ž์˜ ํ˜ˆ์••์„ ์ ์ •ํ•œ ์ˆ˜์ค€์œผ๋กœ ์œ ์ง€์‹œํ‚ค๊ธฐ ์œ„ํ•ด์„œ๋Š”๊ณ ํ˜ˆ์•• ์กฐ์ ˆ์ด ์ทจ์•ฝํ•œ ๋‚ฎ์€ ์†Œ๋“์ˆ˜์ค€, ๋‚ฎ์€ ๊ต์œก์ˆ˜์ค€, ๋‚ฎ์€ ์ง์—…์ˆ˜์ค€์— ๋Œ€ํ•ด ์ง‘์ค‘์ ์ธ ๊ณ ํ˜ˆ์•• ์กฐ์ ˆ ๋ฐ ๊ด€๋ฆฌ ๋Œ€์ฑ…์ด ์š”๊ตฌ๋˜๋ฉฐ, ์ด๋Ÿฌํ•œ ์‚ฌํšŒ๊ฒฝ์ œ์  ์ˆ˜์ค€์— ์˜ํ•œ ๊ฑด๊ฐ• ๋ถˆํ‰๋“ฑ์„ ๊ฐ์†Œ์‹œํ‚ค๊ธฐ ์œ„ํ•œ ๊ตญ๊ฐ€์ฐจ์›์˜ ๋ณด๋‹ค ์ ๊ทน์ ์ธ ๊ฐœ์ž…๊ณผ ์ง€์›์ด ์žˆ์–ด์•ผ ํ•  ๊ฒƒ์ด๋‹ค. [์˜๋ฌธ]The purpose of this study was to learn a relationship between socioeconomic status and hypertension control, and based on the findings, to provide basic information that is needed for more effective health policy developments for hypertension control. As a cross-sectional study using โ€˜2007 National Health and Nutritional Examination Survey(KNHANES)', and this research analyzed 809 people who were classified as those with hypertension using SAS 9.1 out of 3,040 people 19 and old age that have completed KNHANES. The data analysis had socioeconomic status as independent variable and hypertension control as dependent variable, and it analyzed socioeconomic status and hypertension control with chi-square test, and it used logistic regression analysis to exclude any influences the others. The result of this research is as following. Firstly, hypertension control based on socioeconomic status showed differences by age, income, occupation, and marital status, and it statistically significant. Secondly, the relationship between socioeconomic status and hypertension control, in the case where each socioeconomic status is adjusted, income, education, occupation, whether someone had a house or not were statistically significant, and in the case where each socioeconomic status was additionally adjusted, income, education, and occupation were statistically significant. Thirdly, those socioeconomic status that showed significant results including income, education, occupation and whether own a house are in general better at controling hypertension at high level compared to low level. Education showed relationship where hypertension control is done better in high level compared to lower level. On the other side, as for income, hypertension control was done better in the third quartile compared to the first quartile, but at the forth quartile, hypertension control was not done better compared to the third quartile. And as for Occupation, hypertension control was not done better in the non-mannual and mannual occupation compared to the Others occupation, hypertension control of the mannual occupation was done better compared to the non-mannual occupation. From the results of this research, income, education, and occupation are related to hypertension control, and education showed a linear relationship in Korea. Therefore, in order to maintain the blood pressure of people with hypertension to proper level, we need to intensively control and manage hypertension for those groups that are very weak in hypertension control including low income level, low educational level, and low occupational level, and The Goverment will need to intervene and support more aggressively in order to decrease health inequality based on socioeconomic status.ope
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