19 research outputs found

    ๏ฅไธญๅœ‹็š„ๅฐๅค–ๆผข่ชžๆ•ŽๅธซๅŸน่จ“้ซ”็ณป - ๅ…ผ่ซ–ๅœ‹้š›้Ÿ“ๅœ‹่ชžๆ•ŽๅธซๅŸน่จ“|ๅˆถๅบฆ็š„ๆ”นๅ–„ๆ–นๅ‘

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    ไธญๅœ‹็š„ๅฐๅค–ๆผข่ชžๆ•™่‚ฒไบ‹ๆฅญๅทณๆœ‰ๅˆฅๅนด็š„็ฃจๅฒใ€‚50ๅนดไพ†๏ผŒไธญๅœ‹ๆ”ฟๅบœๅ’Œๆœ‰้—œ้ƒจ้–€ๆŠŠๅฐๅค–ๅœ‹ไบบ็š„ๆผข่ชžๆ•™ๅญธไฝœ็‚บไธ€้ …็›Ÿๅฎถๅ’Œๆฐ‘ๆ—็š„ๅฐˆ้–€ไบ‹ๆฅญ๏ผŒๆŠŠๅฐๅค–ๆ‘ธ่ชžๆ•™ๅญธไฝœ็‚บไธ€้–€ๅฐˆ้–€็š„็จ็ซ‹ๅญธ็ง‘๏ผŒ็ตฆไบˆไบ†็‰นๅˆฅ็š„้‡่ฆ–ใ€‚1962ๅนด๏ผŒ็ถ“ๅœ‹ๅ‹™้™ขๆ‰นๅ‡†๏ผŒๆˆ็ซ‹ไบ†ๅค–ๅœ‹็•™ๅญธ็”Ÿ้ซ˜็ญ‰้ ๅ‚™ๅญธๆ ก๏ผŒๅนถไบŽ1965ๅนดๆ€–1ๆœˆๆญฃๅผๆ”นๅ็‚บๅŒ—ไบฌ่ชž้œ„ๅญธ้™ขใ€‚1987ๅนด7ๆœˆ๏ผŒ็ถ“ๅœ‹ๅ‹™้™ขๆ‰นๅ‡†๏ผŒๆˆ็ซ‹ไบ†้—ขๅฎถๅฐๅค–ๅ˜†่ชžๆ•™ๅญธ้ ˜ๅฐŽๅฐ็ต„ใ€‚ ๅพž1983ๅนด้–‹ๅง‹๏ผŒๅŒ—ไบฌ่ชž่จ€ๅญธ้™ขใ€ๅŒ—ไบฌๅค–้ท—่ชžๅคงๅญธ๏ฝทใ€ไธŠๆตทๅค–้—œ่ชžๅญธ้™ขๅ’Œ่ฏๆฑๅธซ็ฏ„ๅคงๅญธ็ญ‰ๅญธไฝ็›ธ็นผๅ‰ต่พฆไบ† ๅฐๅค–ๆฉซ่ชžๆ•™ๅญธ" ๆœฌ็ง‘ๅฐˆๆฅญ๏ผŒๅฐˆ้–€ๅŸน้คŠๅฐๅค–ๆผข่ชžๆ•™ๅธซใ€‚ไธ€ไบ›้ซ˜ๆ กๅพž1986ๅนด้–‹ๅง‹็›ธ็นผๆ‹›ๆ”ถ่ฉฒๅฐˆๆฅญๆ–นๅ‘็š„็ขฉๅฃซ็ ”็ฉถ็”Ÿใ€‚1999ๅนด๏ผŒๅœ‹ๅฎถๆ‰นๅ‡†ๅœจๅŒ—ไบฌ่ชž่จ€ๆ–‡ๅŒ–ๅคงๅญธ่จญ็ซ‹ไบ†ๆˆ‘้—œๅฐๅค–ๅ˜†่ชžๆ•™ๅญธๅฐˆๆฅญ็ฌฌไธ€ไปคๅšๅฃซ็‚นใ€‚ ็›ฎๅ‰๏ผŒๅœจไธญๅœ‹้–‹ๅฑ•ๅฐๅค–ๆผข่ชžๆ•ธๅญธ็š„้™ขๆŽง็ด„330ๅˆฐไฝ™ๆ‰€๏ผŒๆฏๅนดๆŽฅๅ—ไพ†่Ž˜ๅญธ็ฟ’ๆผข่ชž็š„ๅค–ๅœ‹็•™ๅญธ็”Ÿ็ด„ๅ››่ฌไบบ๏ผŒๅฐๅค–ๆพณ่ชžๆ•™ๅธซไบบๆ•ธ่ฟ‘5000ไบบใ€‚็‚บไบ†็ขบไฟๅฐๅค–ๆผข่ชžๆ•™ๅธซ้šŠไผ็š„ๅŸบๆœฌ็ด ่ณช๏ผŒ 1990ๅนด้ ’ๅธƒไบ†ใ€Šๅฐๅค–ๆผข่ชžๆ•™ๅธซ่ณ‡ๆ ผๅฏฉๅฎš่พฆ็š„ใ€‹๏ผŒ้–‹ๅง‹ๅฏฆๆ–ฝๅฐๅค–ๅ˜†่ชžๆ•™ๅธซ่ณ‡ๆ ผ่ฎ€ๆ›ธๅˆถๅบฆใ€‚็›ฎๅ‰ๅทฒๆœ‰2050ๅคš็ซ‹ๅฐˆใ€ๅ…ผ่ทๅฐๅค–ๆผข่ชžๆ•™ๅธซๆ“บๅพ—่ญšๅฎณใ€‚็‚บๆ”ฏๆŒๅœ‹ๅค–็š„่ฌ›่ชžๆ•™ๅญธ๏ผŒๅพž1952ๅนด่‡ณ1999ๅนด๏ผŒไธญๅœ‹ๆ”ฟๅบœๅ…ฑๅ‘70 ๅคšไธชๅœ‹ๅฎถๆดพ้€ฃไบ†ๆผข่ชžๆ•™ๅธซ1100ๅคšไบบๆฌกใ€‚่ฟ‘ๅนดไพ†๏ผŒ้€š้Žๅ„็จฎๅ–ฎ้“ๆดพๅพ€ๅœ‹ๅค–็š„ๆผข่ชžๆ•™ๅธซๆฏๅนด้€ฃ300ๅคšไบบ ไธญ้—Š็š„ๅฐๅค–ๆผข่ชžๆ•™ๅธซๅ ต้ƒจ|ๆœ‰ๅฆ‚ไธ‹ๅ‡ ;ๅฐๆ–น้ข็š„็‰น็‚บ: ไธ€ๆ˜ฏๆ•…ๅบœๆˆ็ซ‹ๅฐˆ้–€่ƒกๅฐŽๆฉŸๆง‹๏ผŒ็›ดๆŽฅๅšๆŒ‡ๅฐŽๅ’Œๅ”่ชฟๅทฅไฝœใ€‚ ไบŒๆ˜ฏ้€š้Žๆญฃ่ฆ็š„ๅฐˆๆฅญๅŸน่จ“ๆฉŸๆง‹Uไพ†ๅŸน้คŠๆ•™ๅธซใ€‚ ไธ‰ๆ˜ฏๅปบ็ซ‹ใ€Šๅฐๅค–ๆผข่ชžๆ•™ๅธซ่ณ‡ๆ ผ่€ƒ่ฉฆใ€‹ๅˆถๅบฆ๏ผŒไพฟๅฐๅค–ๆผข่ชžๆ•™ๅธซๅŸน่จ“ๆ›ด้Ž่ฆ็ฏ„ๅŒ–ๅ’Œ็ง‘ๅญธๅŒ–ใ€‚ ๅ››ๆ˜ฏๅˆๆญฅๅปบ็ซ‹ไบ†ๆœ‰้—œๅฐๅค–ๆผข่ชžๆ•™ๅธซๅŸน่จ“้ซ”็ณป็š„็†่ซ–ๆก†ๆžถ๏ผŒๅนถ็ขบไฟไบ†็ ”็ฉถ้™ฃๅœฐใ€‚ ไธญๅœ‹ๅœจๅŸน้คŠๅฐๅค–ๆผข่ชžๆ•™ๅธซๆ–น้ขๆ‰€ไฝœๅ‡บ็š„ไธ€็ณปๅˆ—ๆ”ฟ็ญ–ๅ’ŒๆŽชๆ–ฝ๏ผŒๅฐ้Ÿ“ๅœ‹็š„ๅœ‹้š›้Ÿ“ๅœ‹่ชžๆ•™ๅธซๅŸน่จ“ๆœ‰ไธ€ๅฎš็š„ๅ€Ÿ้‘’ๆ„็พฉใ€‚ๅฐฑไธญๅœ‹็š„้Ÿ“ๅœ‹่ชžๆ•™่‚ฒ่€Œ่จ€๏ผŒ็›ฎๅ‰ๅœจไธญๅœ‹ๅพžไบ‹็™ผ้—ก่ชžๆ•™่‚ฒ็š„ๆ•™ๅธซๅคง้ƒจๅˆ†้ƒฝๆฒ’ๆœ‰ไธŠ้Žๆญฃ่ฆ็š„้Ÿ“ๅœ‹่ชžๆ•™่‚ฒ่ชฒ็จ‹๏ผŒ้‚„่™•ไบŽ็ถ“้ฉ—ๅž‹ๆ•™่‚ฒ้šŽๆฎตใ€‚้€™ๆ˜ฏๆœ€่ฟ‘ๅ‡ ๅนดไพ†็”ฑไบŽ้Ÿ“ๅœ‹่ชžๅฐˆๆฅญๅœจๆ•ธๆœ€ไธŠๅขž้•ท้Žๅฟซ่€Œ็”ข็”Ÿ็š„็‰นๆฎŠ็จ่ฑกใ€‚ๅฆ‚ไฝ•ๅ…‹ๆœ้€™็จฎไธๅˆ็†็š„็ตๆง‹ไธŠ็š„็Ÿ›็›พ๏ผŒๆŠŠๅœ‹้š›้Ÿ“ๅœ‹่ชžๆ•™่‚ฒๆŽจๅ‘็ง‘ๅญธๅŒ–ๅ’Œๆญฃ่ฆๅŒ–่ปŒ้“๏ผŒ้€™ๆ˜ฏๆ“บๅœจๆˆ‘ๅ€‘้ขๅ‰็š„ไธ€ไธช่ชฒ้กŒใ€‚ๅˆฐ็›ฎๅ‰็‚บๆญข๏ผŒ้Ÿ“ๅœ‹ๅญธ็•Œๅœจ้—œ้š›็ทฏๅœ‹่ชž็š„็ ”็ฉถๆ–น้ข้‚„ๅฑ€้™ไบŽๆ•™ๆ้–‹็™ผๅ’Œๆ•™ๅญธๆ–นๆณ•่ซ–ไธŠ๏ผŒๅฐไบŽๅœ‹้š›้Ÿ“ๅœ‹่ชžๆ•™ๅธซ็š„ๅŸน้คŠๅ•้กŒ๏ผŒๆ”ฟๅบœๆœ‰้—œ้ƒจ้–€้‚„ๆฒ’ๅ•†ๅˆถๅฎšๅ‡บ็ตฑไธ€็š„ๆ”ฟ็ญ–ๅ’Œ็›ธๆ‡‰็š„ๅ…ท้ซ”ๆŽชๆ–ฝ๏ผŒ้Ÿ“ๅœ‹ๅœ‹ๅ…ง็š„้Ÿ“ๅœ‹่ชžๆ•™่‚ฒๅ’Œๆตทๅค–็š„้Ÿ“ๅœ‹่ชžๆ•™่‚ฒ้‚„ๅญ˜ๅœจๅšด้‡ไธๅ”่ชฟ็š„็พ่ฑกใ€‚ ็‚บ่งฃ็ฉถไธŠ้€ฃๅ•้กŒ๏ผŒๆ‡‰่ฉฒ็›กๆ—ฉ้–‘่ชชๅŸน้คŠๅœ‹้š›ๆญธๅœ‹่ชžๆ•™ๅธซ็š„ๅคงๅญธๆœฌ็ง‘่ชฒ็จ‹๏ผŒไปฅๅŠๅŸน้คŠๅฐˆๅฎถ็š„็ขฉๅฃซ๏ผŒๅšๅฃซ่ชฒ็จ‹๏ผŒๅนทๅˆถๅฎšๅœ‹้š›้Ÿ“ๅœ‹่ฌ›ๆ•™ๅธซ่ณ‡ๆ ผ่€ƒ่ฉฆๅˆถๅบฆ๏ผŒๅปบ็ซ‹ๅ’Œ้ซ”ๅ…จๆตทๅค–้Ÿ“ๅœ‹่ชžๆ•™ๅธซ็š„็ ”ไฟฎๆธ ้“๏ผŒ้€™ๆ˜ฏ็•ถๅ‰ๆˆ‘ๅ€‘่ฆ้ฆ–ๅ…ˆ่งฃๆฑบ็š„ๅ•้ซ“ใ€‚ๅฆๅค–๏ผŒๆŠŠ้Ÿ“ๅœ‹็พๆœ‰็š„้Ÿ“ๅœ‹่ชžๆ•™ๅธซๅŸน่จ“่ชฒ็จ‹๏ผŒๅฆ‚ๆผขๅŸŽๅคงๅญธ็š„"็‚บๅค–ๅœ‹ไบบ็š„้Ÿ“ๅœ‹่ชžๆ•™่‚ฒๆŒ‡ๅฐŽ่€…่ชฒ็จ‹"ๅฎšๆœŸๅœจๆตทๅค–ๅฏฆๆ–ฝ๏ผŒไนŸไธๅคฑ็‚บไธ€็จฎ่งฃๆฑบ็œผๅ‰้—œ้›ฃ็š„ๅฅฝ่พฆๆณ•

    Function of social support on depression of patients with rheumatoid arthritis

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    ๊ฐ„ํ˜ธํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€] ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž๋Š” ์ง€์†์ ์ธ ํ†ต์ฆ๊ณผ ๊ด€์ ˆ์˜ ๋ถ€์ข… ๋ฐ ๊ฐ•์ง์œผ๋กœ ์ธํ•ด ์‹ ์ฒด์ ๊ธฐ๋Šฅ์ด ์ œํ•œ๋˜์–ด ์ผ์ƒ์ ์ธ ํ™œ๋™์ด๋‚˜ ์‚ฌํšŒ์  ๊ด€๊ณ„์— ์˜ํ–ฅ์„ ๋ฐ›๊ฒŒ ๋˜๊ณ  ์‚ฌํšŒ์ ์œผ๋กœ ๊ณ ๋ฆฝ๋˜๋ฉด์„œ ํ”ํžˆ ์šฐ์šธ์„ ๊ฒฝํ—˜ํ•˜๊ฒŒ ๋œ๋‹ค. ์ด ํ™˜์ž๋“ค์˜ ์šฐ์šธ์€ ์ฆ์ƒ์˜ ์•…ํ™”๋ฅผ ์ดˆ๋ž˜ํ•˜๋ฏ€๋กœ ํšจ๊ณผ์ ์ธ ์น˜๋ฃŒ๋ฅผ ์œ„ํ•ด์„œ๋Š” ๋จผ์ € ์šฐ์šธ์˜ ๋ฌธ์ œ๊ฐ€ ํ•ด๊ฒฐ๋˜์–ด์•ผ ํ•˜๋Š”๋ฐ ์‚ฌํšŒ์  ์ง€์ง€๊ฐ€ ์šฐ์šธ์— ๋Œ€ํ•œ ์น˜๋ฃŒ์˜ ์ค‘์š”ํ•œ ์ธก๋ฉด์œผ๋กœ ๋ถ€๊ฐ๋˜๊ณ  ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์šฐ์šธ์— ๋ฏธ์น˜๋Š” ์‚ฌํšŒ์  ์ง€์ง€์˜ ์ง์ ‘ํšจ๊ณผ์™€ ์ƒํ™œ์‚ฌ๊ฑด, ํ†ต์ฆ ๋ฐ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ๋ฅผ ์™„ํ™”์‹œํ‚ค๋Š” ์™„์ถฉํšจ๊ณผ๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด ์„ค๊ณ„๋œ ์„œ์ˆ ์  ์ƒ๊ด€๊ด€๊ณ„ ์—ฐ๊ตฌ์ด๋‹ค ์—ฐ๊ตฌ์˜ ์ด๋ก ์  ๊ธฐํ‹€์€ Selye(1976)์˜ ์ŠคํŠธ๋ ˆ์Šค ๋ฐ˜์‘๋ชจํ˜•๊ณผ ์‚ฌํšŒ์  ์ง€์ง€๋ชจํ˜•์„ ๊ธฐ์ดˆ๋กœ ๋„์ถœํ•˜์˜€๋‹ค. ์ž๋ฃŒ์ˆ˜์ง‘์€ 1995๋…„ 9์›” 4์ผ๋ถ€ํ„ฐ 9์›” 16์ผ๊นŒ์ง€ ์„œ์šธ์‹œ ์†Œ์žฌ ์ผ๊ฐœ ๋Œ€ํ•™๋ถ€์†๋ณ‘์› ๋ฅ˜๋งˆํ‹ฐ์Šค ํด๋ฆฌ๋‹‰์— ์น˜๋ฃŒ๋ฅผ ๋ฐ›๊ธฐ ์œ„ํ•ด ๋‚ด์›ํ•œ ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž 214๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๋„๊ตฌ๋Š” ์ข…์†๋ณ€์ˆ˜์ธ ์šฐ์šธ์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด Radloff(1977)๊ฐ€ ๊ฐœ๋ฐœํ•œ ์šฐ์šธ์ฆ์ƒ๋“ค๋กœ ๊ตฌ์„ฑ๋œ ๋„๊ตฌ(CES-D)๋ฅผ ์—ฐ๊ตฌ์ž๊ฐ€ ๋ฒˆ์—ญํ•˜์—ฌ ์‚ฌ์šฉํ•˜์˜€๋‹ค. ์šฐ์šธ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์˜ˆ์ธก๋ณ€์ธ์„ ์ธก์ •ํ•˜๊ธฐ ์œ„ํ•ด Cohen, Hoberman(1983)์ด ๊ฐœ๋ฐœํ•˜๊ณ  ์„œ๋ฌธ์ž(1987)๊ฐ€ ์ˆ˜์ •๋ณด์™„ํ•œ ๋Œ€์ธ๊ด€๊ณ„์  ์ง€์ง€์˜ ์ง€๊ฐ์ฒ™๋„์ธ ์‚ฌํšŒ์  ์ง€์ง€์ธก์ •๋„๊ตฌ, ์„ ํ–‰๋ฌธํ—Œ(Holmes & Rahe, 1967; Paykel, 1980; ์ดํ‰์ˆ™, 1984)์„ ๊ธฐ์ดˆ๋กœ ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผ์˜ ํŠน์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ์—ฐ๊ตฌ์ž๊ฐ€ ์ž‘์„ฑํ•œ ์ƒํ™œ์‚ฌ๊ฑด ์งˆ๋ฌธ์ง€, AIMS์˜ ํ†ต์ฆ์ธก์ •๋„๊ตฌ ๊ทธ๋ฆฌ๊ณ  Fries ๋“ฑ(1980)์ด ๊ฐœ๋ฐœํ•˜๊ณ  Kirwan, Reeback(1986)์ด ์ˆ˜์ •ํ•œ ์ผ์ƒํ™œ๋™์ƒ์˜ ์–ด๋ ค์›€์˜ ์ •๋„๋ฅผ ์ธก์ •ํ•˜๋Š” HAQ๋ฅผ ๋ฒˆ์—ญํ•œ ๋’ค ์ˆ˜์ •๋ณด์™„ํ•œ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ์ธก์ •๋„๊ตฌ๊ฐ€ ์‚ฌ์šฉ๋˜์—ˆ๋‹ค. ์ž๋ฃŒ๋ถ„์„์€ SAS๋ฅผ ์ด์šฉํ•˜์˜€์œผ๋ฉฐ, ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ๊ณผ ์—ฐ๊ตฌ๋ณ€์ˆ˜์— ๋Œ€ํ•œ ์„œ์ˆ ์  ํ†ต๊ณ„๋ฅผ ์‚ฐ์ถœํ–ˆ๋‹ค. ์ผ๋ฐ˜์  ํŠน์„ฑ๊ณผ ์šฐ์šธ์˜ ๊ด€๊ณ„ ๊ทธ๋ฆฌ๊ณ  ์—ฐ๊ตฌ ๋ณ€์ˆ˜๋“ค๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•ด์„œ t-test, One-way ANOVA ๋ฐ Pearson Correlation Coefficient๋กœ ๋ถ„์„ํ•˜์˜€๊ณ  ๊ฐ€์„ค๊ฒ€์ฆ์„ ์œ„ํ•œ ์ œ ๋ณ€์ˆ˜๋“ค๊ฐ„์˜ ๊ด€๊ณ„๋Š” Pearson Correlation Coefficient๋ฐ Stepwise Multiple Regression์œผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค 1. ์ œ 1๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์ƒํ™œ์‚ฌ๊ฑด์ •๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์šฐ์šธ์ •๋„๋Š” ๋†’์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(r=.49, p=.0001). 2. ์ œ 2๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ํ†ต์ฆ์ •๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์šฐ์šธ์ •๋„๋Š” ๋†’์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(r=.44, p=.0001). 3. ์ œ 3๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ์ •๋„๊ฐ€ ๋†’์„์ˆ˜๋ฅต ์šฐ์šธ์ •๋„๋Š” ๋†’์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(r=.46, p=.0001). 4. ์ œ 4๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์‚ฌํšŒ์  ์ง€์ง€์ •๋„๊ฐ€ ๋†’์„์ˆ˜๋ก ์šฐ์šธ ์ •๋„๋Š” ๋‚ฎ์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(F=84.52, p=.0001). 5, ์ œ 5๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์ƒํ™œ์‚ฌ๊ฑด๊ณผ ์šฐ์šธ์ •๋„์˜ ๊ด€๊ณ„๋Š” ์‚ฌํšŒ์  ์ง€์ง€์ •๋„์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค"๋Š” ๊ธฐ๊ฐ๋˜์—ˆ๋‹ค(F=.29, p=.5928). 6. ์ œ 6๊ฐ€์„ค. "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ํ†ต์ค‘๊ณผ ์šฐ์šธ์ •๋„์˜ ๊ด€๊ณ„๋Š” ์‚ฌํšŒ์  ์ง€์ง€์ •๋„์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(F=3.19, p=.0755). 7. ์ œ 7๊ฐ€์„ค: "๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ์™€ ์šฐ์šธ ์ •๋„์˜ ๊ด€๊ณ„๋Š” ์‚ฌํšŒ์  ์ง€์ง€์ •๋„์— ๋”ฐ๋ผ ์ฐจ์ด๊ฐ€ ์žˆ์„ ๊ฒƒ์ด๋‹ค"๋Š” ์ง€์ง€๋˜์—ˆ๋‹ค(F=5.69, p=.0180). 8. ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์šฐ์šธ์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์˜ˆ์ธก๋ณ€์ธ์€ ์‚ฌํšŒ์  ์ง€์ง€, ์ƒํ™œ์‚ฌ๊ฑด, ํ†ต์ฆ ๋ฐ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ์˜€๋‹ค. 9. ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์—ผํ™˜์ž์˜ ์šฐ์šธ์€ ์‚ฌํšŒ์  ์ง€์ง€์™€ ์—ญ์ƒ๊ด€ ๊ด€๊ณ„(r=-.56, p=.0001)์˜€๊ณ  ์‚ฌํšŒ์  ์ง€์ง€๋Š” ์ƒํ™œ์‚ฌ๊ฑด(r=-.22, p=.0007), ํ†ต์ฆ(r=-.18, p=.0069), ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• (r=-.15, p=.0293)์™€ ๊ฐ๊ฐ ์—ญ์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. 10. ๋Œ€์ƒ์ž์˜ ์ผ๋ฐ˜์  ํŠน์„ฑ๊ณผ ์šฐ์šธ์ •๋„์˜ ๊ด€๊ณ„๋ถ„์„์—์„œ๋Š” ์šฐ์šธ์ •๋„๊ฐ€ ์—ฌ์„ฑ์ด ๋‚จ์„ฑ๋ณด๋‹ค ๋” ๋†’์•˜์œผ๋ฉฐ(t=2.26, p= .025), ํ•™๋ ฅ์ˆ˜์ค€(r=.189, p=.006)์ด๋‚˜ ํ˜„์žฌ ์น˜๋ฃŒ๋ฐฉ๋ฒ•์ˆ˜(r=.201, p=.003)์™€ ๊ฐ๊ฐ ์ •์ƒ๊ด€ ๊ด€๊ณ„๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด์„œ ๋ฅ˜๋งˆํ‹ฐ์Šค ๊ด€์ ˆ์˜ํ™˜์ž์˜ ์ƒํ™œ์‚ฌ๊ฑด, ํ†ต์ฆ ๋ฐ ์‹ ์ฒด์  ๊ธฐ๋Šฅ์žฅ์• ์— ์˜ํ•ด ์œ ๋ฐœ๋œ ์šฐ์šธ์— ๋ฏธ์น˜๋Š” ์‚ฌํšŒ์  ์ง€์ง€์˜ ์ง์ ‘ํšจ๊ณผ ๊ทธ๋ฆฌ๊ณ  ํ†ต์ฆ์ด๋‚˜ ์‹ ์ฒด์ ๊ธฐ๋Šฅ์žฅ์• ๊ฐ€ ์šฐ์šธ์— ๋ฏธ์น˜๋Š” ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ์‚ฌํšŒ์  ์ง€์ง€๊ฐ€ ์™„ํ™”์‹œํ‚ด์œผ๋กœ์จ ์šฐ์šธ์„ ๊ฐ์†Œ์‹œํ‚ค๋Š” ์™„์ถฉํšจ๊ณผ ๊ฐ€ ํ™•์ธ๋˜์—ˆ์œผ๋ฏ€๋กœ ์ด๋Š” ๊ฐ„ํ˜ธ์ค‘์žฌ์ƒํ™ฉ์˜ ์˜ˆ์ธก์— ์ ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค๊ณ  ๋ณด๋ฉฐ, ์‚ฌํšŒ์  ์ง€์ง€์˜ ์ œ๊ณต์ด ์ด ํ™˜์ž๋“ค์˜ ์šฐ์šธ๊ฐ์†Œ๋ฅผ ์œ„ํ•œ ๋ฐ”๋žŒ์งํ•œ ๊ฐ„ํ˜ธ์ค‘์žฌ์ž„์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. [์˜๋ฌธ] The patients with rheumatoid arthritis have depression because the cardinal characteristics of the disease, persistent pain, swelling and stiffness in joints, limit functional ability and affect activities of daily living, social relationships, and overall quality of life. Social support is emphasized as an important and useful factor to prevent the occurrence of depression and to reduce the depression of patients with rheumatoid arthritis. This study has been done for the purpose of determining whether the positive association between social support and depression is attributable to an overall beneficial effect of support(direct effect) or to a process of support protecting persons from adverse effects of stressors such as life events, pain or physical disability (buffering effect) . The study design was a descriptive correlational study. The theoretical framework for this study was derived from the stress theory developed by selye(1976) and the direct effect model and the buffering effect model of social support theory. The sample consisted of 214 patients who were identified as the rheumatoid arthritis. The instruments used in this study were Depression Scale(CES -D), Perceived Social Support Scale, Life Events Questionnaire, AIMS Pain Scale, and Physical Disability Scale. The data were analysed by the use of t-test, ANOVA, Pearson Correlation Coefficient and Stepwise Multiple Regression. The results of this study are summerized as follows: 1. The lst hypothesis, "The higher the life events degree, the higher the depression degree" was supported(r=.49, P=.0001). 2. The 2nd hypothesis, "The higher the pain degree, the higher the depression degree" was supported(r=.44, P= .0001). 3. The 3rd hypothesis, "The higher the physical disability degree, the higher the depression degree" was supported(r=.46, P=.0001). 4. The 4th hypothesis, "The higher the social support degree, the lower the depression degree" was supported(F=84.52, P=.0001). 5. The 5th hypothesis, "There will be different in the relationship between the degrees of life events and depression according to social support degree" was rejected(F=.29, P= .5928) 6. The 6th hypothesis, "There will be different in the relationship between the degrees of pain and depression according to social support degree" was supported(F=3.19, P=.0755). 7. The 7th hypothesis, "There will be different in the relationship between the degrees of physical disability and depression according to social support degree" was supported (F=5.69, P=.018). 8. The predictive variables for depression were the degrees for social support, life events, pain, and physical disability. 9. The depression degree showed a inverse correlation with social support degree(r=-.56, p=.0001). The social support degree showed a inverse correlation with the degrees of life events(r=-.22, p=.0007), pain(r= -.18, p=.0069) and phisical disability(r= -.15, p=.0293). 10. The depression degree showed significant differences in the variables of sex(t=2.26, p=.025), educational level(r= .189, P=.006) and the number of treatment method(r= .201, P=.003). In conclusion, it was found that social support had the direct effect on depression and the buffering effect in each relationship between degrees of pain or physical disability and depression in patients with rheumatoid arthritis So the researcher thinks that it is effective that nurses should provide these patients with social support to redueedepression in cases of having severe pain or physical disability.restrictio
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