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Association of Changes in Sitting Time with the Risk of Developing Diabetes: A Community-Based Cohort Study
Korean J Sports Med 2024;42:46-54
Published online March 1, 2024;  https://doi.org/10.5763/kjsm.2024.42.1.46
© 2024 The Korean Society of Sports Medicine.

DooYong Park1, Yeon Soo Kim1,2, EunKyung Kim3

1Department of Physical Education, Seoul National University, Seoul, 2Institute of Sport Science, Seoul National University, Seoul, 3Department of Physical Education, Chonnam National University, Gwangju, Korea
Correspondence to: EunKyung Kim
Department of Physical Education, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea
Tel: +82-2-880-7794, Fax: +82-2-866-9144, E-mail: eunkkim88@gmail.com
Received December 13, 2023; Revised January 9, 2024; Accepted January 17, 2024.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
 Abstract
Purpose: The purpose of the present study was to investigate the relationship between changes in sitting time (ST) with the risk of developing metabolic syndrome.
Methods: This study examined 2,814 adults aged 40 to 69 years who participated in the Korean Genome and Epidemiology Study, a community-based cohort study, for a total of 10 years. Changes in ST were assessed using the results obtained from physical activity questionnaires completed during the baseline and follow-up surveys. The diagnosis of metabolic syndrome was classified according to the criteria established by the International Diabetes Federation. We conducted survival analysis by the multivariate extended Cox regression model. The significance level for all analyses was set at p<0.05.
Results: We compared the newly ST group with ST less than 7 hours in the baseline and more than 7 hours in the first follow-up to the consistently non-ST group with ST less than 7 hours in both the baseline and the first follow-up. In this comparison, we found that the hazard ratio (HR) for the incidence of metabolic syndrome increased by 33% (HR, 1.33; 95% confidence interval [CI], 1.02–1.74) for changes in total daily sedentary time and by 47% (HR, 1.47; 95% CI, 1.13–1.92) for changes in weekday sedentary time in the newly ST group.
Conclusion: Changes in ST are associated with the risk of developing metabolic syndrome. These findings can serve as fundamental data for further research on the relationship between changes in ST, and the occurrence of metabolic syndrome.
Keywords : Sedentary behavior, Aged, Metabolic syndrome, Proportional hazards models, Cohort studies
꽌 濡

궗利앺썑援곗 怨좏삁븬, 怨좏삁떦利, 蹂듬鍮꾨쭔, 利앷븳 肄쒕젅뒪뀒濡ㅼ씠굹 利앷븳 以묒꽦吏諛 닔移섍 븿猿 씠긽씠 엳쓣 寃쎌슦瑜 쓽誘명븯硫1, 떖삁愿 궗 옉슜뿉 븳 쐞뿕吏몴濡 湲곕뒫븷 肉먮쭔 븘땲씪 쟾꽭怨꾩쟻쑝濡 떖삁愿吏덊솚 諛쒖깮怨 紐⑤뱺 醫낅쪟쓽 궗留앹뿉 쁺뼢쓣 겮移섍퀬 엳떎2.

2017–2018뀈 誘멸뎅 援誘 嫄닿컯 諛 쁺뼇 議곗궗(National Health and Nutrition Examination Survey)뿉 뵲瑜대㈃ 誘멸뎅씤쓽 20꽭 씠긽 궗利앺썑援 쑀蹂묐쪧씠 38.3%쑝硫, 궓꽦씠 38.8%, 뿬꽦씠 37.7%, 븘떆븘씤 31.2%떎3. 援誘쇨굔媛뺣낫뿕怨듬떒뿉꽌 諛쒗몴븳 理쒓렐 옄猷뚯뿉 뵲瑜대㈃ 2020뀈 湲곗 援궡 닔寃 씤썝 1,400留 紐낆쓽 븳援씤 以 1,000留 紐낆씤 69.8%媛 궗利앺썑援 쐞뿕슂씤쓣 1媛 씠긽 蹂댁쑀븯怨 엳怨, 궗利앺썑援(쐞뿕 슂씤 3–5媛)뿉 빐떦븯뒗 궗엺씠 쟾泥 議곗궗옄쓽 20.6%瑜 李⑥븯쑝硫, 異붽濡 궗利앺썑援 쐞뿕 슂씤蹂꾨줈 꽦蹂, 뿰졊蹂 李⑥씠媛 엳쓬쓣 솗씤븯떎4. 씠젃寃 援젣쟻쑝濡 紐⑤뱺 뿰졊뿉 嫄몄퀜 궗利앺썑援곗씠 留뚯뿰빐 엳뒗 긽깭씠誘濡, 궗利앺썑援곗쓣 슚怨쇱쟻쑝濡 愿由ы븷 닔 엳뒗 諛⑸쾿뿉 븳 愿떖씠 넂떎5.

떎뼇븳 궗利앺썑援 愿由 諛⑸쾿 以 醫뚯떇뻾룞 利앷媛 궗利앺썑援 諛쒖쟾쓽 쐞뿕쓣 利앷떆궗 닔 엳떎뒗 뿰援 寃곌낵瑜 넗濡6, 궗利앺썑援 諛쒖깮쓣 媛먯냼떆궎湲 쐞븳 떊泥댄솢룞 쟾왂쓣 닔由쏀빐빞 븿쓣 媛뺤“븯떎7. 떎젣濡 옣떆媛 吏냽맂 醫뚯떇떆媛꾩 씤뒓由 빆꽦 利앷 諛 궗쟻 湲곕뒫 遺쟾쓣 씪쑝궎硫, 궗利앺썑援곌낵 뿰愿맂 떖삁愿吏덊솚 쐞뿕슂냼 利앷 留ㅼ슦 諛젒븳 뿰愿꽦쓣 媛吏怨 엳쓬씠 蹂닿퀬릺뿀떎8.

쁽옱源뚯 吏꾪뻾맂 醫뚯떇떆媛꾧낵 궗利앺썑援곗쓽 뿰愿꽦뿉 븳 꽑뻾뿰援 寃곌낵濡 醫뚯떇뻾룞 利앷媛 궗利앺썑援 쐞뿕쓣 利앷떆궎뒗 寃껋쓣 솗씤븯쑝굹 遺遺 슒떒 뿰援ъ쑝硫9, 理쒓렐뿉 吏꾪뻾맂 떎瑜 醫낅떒 뿰援щ뒗 醫뚯떇뻾룞쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓣 솗씤븯湲 쐞빐 臾댁옉쐞 議 뿰援щ 븯쑝굹 異붿쟻 愿李곌린媛꾩씠 吏㏃븘 醫뚯떇뻾룞 蹂솕濡 씤븳 궗利앺썑援 諛쒖깮쐞뿕쓣 옣湲곗쟻쑝濡 룊媛븷 닔 뾾뿀떎10. 씠뒗 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦쓣 솗씤븯湲 쐞빐꽌뒗 옣湲곌컙 愿李곕맂 醫낅떒 뿰援ш 븘슂븿쓣 떆궗븳떎9.

뵲씪꽌 蹂 뿰援ъ뿉꽌뒗 븳援씤쑀쟾泥댁뿭븰議곗궗궗뾽(Korean Genome and Epidemiology Study, KoGES) 吏뿭궗쉶 湲곕컲 肄뷀샇듃쓽 醫낅떒 옄猷뚮 솢슜븯뿬, 二쇱쨷, 二쇰쭚, 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쓽 쐞뿕鍮(hazard ratio, HR)瑜 궛異쒗븯怨, 궗利앺썑援 쐞뿕슂냼蹂 媛곴컖쓽 룆由쎌쟻씤 뿰愿꽦쓣 솗씤븯怨좎옄 븳떎.

뿰援 諛⑸쾿

1. 뿰援 긽

蹂 뿰援ъ뿉꽌뒗 븳援씤쓣 긽쑝濡 嫄닿컯 諛 깮솢뒿愿 젙蹂 벑쓣 議곗궗븯뿬 떦눊蹂, 怨좏삁븬, 怨⑤떎怨듭쬆, 鍮꾨쭔 諛 궗利앺썑援 벑 留뚯꽦吏덊솚 諛쒖깮쓣 삁諛⑺븯湲 쐞븳 洹쒕え 肄뷀샇듃 議곗궗씤 KoGES 吏뿭궗쉶 湲곕컲 肄뷀샇듃뿉꽌 뼸 뜲씠꽣瑜 넗濡 遺꾩꽍뿉 솢슜븯怨, 2011–2012뀈 湲곕컲議곗궗 씠썑 2019–2020뀈 4李 異붿쟻씠 吏꾪뻾맂 寃쎄린룄 븞궛떆뿉 嫄곗<븯뒗 40꽭遺꽣 69꽭씤 씪諛 꽦씤뱾쓣 꽑젙븯떎. 뿰援 긽옄뒗 1–4李 異붿쟻愿李 뜲씠꽣媛 紐⑤몢 議댁옱븯吏 븡뒗 긽옄 238紐낆쓣 젣쇅븳 2,814紐낆쓣 꽑젙븯怨, 씠썑 湲곕컲議곗궗뿉꽌 궗利앺썑援(408紐)怨 떖삁愿吏덊솚(9紐)씠 엳嫄곕굹, 궗利앺썑援곌낵 醫뚯떇뻾룞, 떊泥댄솢룞뿉 쁺뼢쓣 겮移섎뒗 샎蹂닔뿉 寃곗륫씠 엳뒗 긽옄(711紐)쓣 젣쇅븳 珥 1,686紐낆쓣 遺꾩꽍뿉 솢슜븯떎.

蹂 뿰援ъ“궗뒗 吏뿭궗쉶 湲곕컲議곗궗 떎떆湲곌씤 怨좊젮븰援 쓽怨쇰븰 븞궛蹂묒썝怨 꽌슱븰援 깮紐낆쑄由ъ쐞썝쉶쓽 듅씤쓣 嫄곗낀쑝硫, 뿰援 李몄뿬옄뒗 뿰援 紐⑹쟻怨 궡슜쓣 씠빐븳 썑 뿰援ъ갭뿬 꽌硫 룞쓽꽌뿉 꽌紐낇븯떎(No. E2112/001-009).

2. 痢≪젙 蹂씤

1) 궗利앺썑援

궗利앺썑援곗쓽 쑀臾대뒗 꽑뻾뿰援ъ뿉 뵲씪 International Diabetes Foundation 湲곗쑝濡 遺꾨쪟븯떎. 癒쇱 以묒떖삎 鍮꾨쭔(븳援씤쓽 寃쎌슦 뿀由щ몮젅 궓옄 90 cm 씠긽, 뿬옄 85 cm 씠긽), 利앷븳 以묒꽦吏諛 닔移(以묒꽦吏諛 150 mg/dL 씠긽), 媛먯냼븳 怨좊룄 吏吏덈떒諛깆쭏 肄쒕젅뒪뀒濡(high density lipoprotein cholesterol, HDL-C) 닔移(궓옄 40 mg/dL 誘몃쭔, 뿬옄 50 mg/dL 誘몃쭔), 利앷븳 삁븬 닔移(닔異뺢린 삁븬 130 mm Hg 씠긽씠嫄곕굹 씠셿湲 삁븬 85 mm Hg 씠긽 샊 怨좏삁븬 移섎즺 以) , 利앷븳 삁떦 닔移(怨듬났 떆 삁떦 100 mg/dL 씠긽 샊 떦눊 移섎즺 以)쓽 5媛吏 슂씤 以 3媛 씠긽 빐떦븷 寃쎌슦 궗利앺썑援곗쑝濡 洹쒖젙븯떎11.

2) 醫뚯떇떆媛꾩쓽 蹂솕

珥 醫뚯떇떆媛꾩 “吏궃 씪二쇱씪媛 二쇱쨷 븯猷⑥뿉 븠븘꽌 蹂대궦 떆媛꾩 蹂댄넻 뼹留덈굹 맗땲源?” “吏궃 씪二쇱씪媛 二쇰쭚 븯猷⑥뿉 븠븘꽌 蹂대궦 떆媛꾩 蹂댄넻 뼹留덈굹 맗땲源?”뿉 떟蹂븳 떆媛꾩쓣 넗濡 븯뿬 ‘[(二쇱쨷 醫뚯떇떆媛×5)竊(二쇰쭚 醫뚯떇떆媛×2)]/7’쓽 떇쑝濡 씪씪 珥 醫뚯떇떆媛꾩쓣 궛異쒗븯떎. 異붽濡 醫뚯떇떆媛꾩쓣 痢≪젙븯湲 쐞븳 꽕臾몄 궡슜 以 吏곸옣, 吏, 븰뾽, 뿬媛 솢룞 以 븠븘꽌 蹂대궦 떆媛꾩 룷븿븯쑝굹, 援먰넻닔떒쓣 씠슜븷 븣 븠븘엳뜕 떆媛꾩 룷븿븯吏 븡븯떎. 二쇱쨷, 二쇰쭚, 珥 醫뚯떇떆媛꾩쓽 蹂솕 젙룄뒗 醫뚯떇떆媛꾩쓽 蹂솕 궗留앹쐞뿕쓽 뿰愿꽦뿉 빐 쑀쓽誘명븳 寃곌낵瑜 솗씤븳 꽑뻾뿰援ъ뿉 洹쇨굅븯뿬 2011–2012뀈 湲곕컲議곗궗뿉꽌 痢≪젙븳 二쇱쨷, 二쇰쭚, 珥 醫뚯떇떆媛꾧낵 2013–2014뀈 1李 異붿쟻議곗궗뿉꽌 痢≪젙븳 씪씪 珥 醫뚯떇떆媛꾩뿉 빐 珥 4洹몃9쑝濡 援ъ꽦븯떎12. 湲곕컲議곗궗 1李 異붿쟻議곗궗쓽 醫뚯떇떆媛꾩씠 紐⑤몢 7떆媛 씠긽씪 寃쎌슦 “consistently sitting time (ST)”, 湲곕컲議곗궗쓽 醫뚯떇떆媛꾩씠 7떆媛 誘몃쭔씠怨, 1李 異붿쟻議곗궗쓽 醫뚯떇떆媛꾩씠 7떆媛 씠긽씪 寃쎌슦 “newly ST”, 湲곕컲議곗궗쓽 醫뚯떇떆媛꾩씠 7떆媛 씠긽씠怨, 1李 異붿쟻議곗궗쓽 醫뚯떇떆媛꾩씠 7떆媛 誘몃쭔씪 寃쎌슦 “formerly ST”, 湲곕컲議곗궗 1李 異붿쟻議곗궗쓽 醫뚯떇떆媛꾩씠 紐⑤몢 7떆媛 誘몃쭔씪 寃쎌슦 “consistently non-ST”쑝濡 援щ텇븯뿬 遺꾩꽍뿉 솢슜븯떎(consistently non-ST, <7 hr/day in 2011–2012 and 2013–2014; formerly ST, ≥7 hr/day in 2011–2012 and <7 hr/day in 2013–2014; newly ST, <7 hr/day in 2011–2012 and ≥7 hr/day in 2013–2014; consistently ST, ≥7 hr/day in 2011–2012 and 2013–2014)12.

3) 삁븸 蹂씤

紐⑤뱺 議곗궗 李몄뿬옄뿉寃 8떆媛 씠긽쓽 怨듬났 긽깭瑜 쑀吏븯寃 븳 썑 寃궗 떦씪 븘移⑥뿉 삁븸寃궗瑜 떎떆븯떎. 寃궗 떦씪 梨꾩랬맂 삁븸 깦뵆 쁽옣뿉꽌 썝떖遺꾨━湲곕줈 泥섎━ 썑 꽌슱쓽怨쇳븰뿰援ъ냼(Seoul Clinical Laboratory)濡 蹂대궡 ADVIA 1800 auto analyzer (Siemens)瑜 씠슜븯뿬 以묒꽦吏諛, HDL-C, 삁떦, 怨좉컧룄 C-諛섏쓳꽦 떒諛깆쭏(high-sensitivity C-reactive protein, hs-CRP), 떦솕 뿤紐④濡쒕퉰(glycosylated hemoglobin, HbA1C), 삁以 겕젅븘떚땶, 씤뒓由 媛믪쓣 궛異쒗븯떎. 궗援ъ껜 뿬怨쇱쑉 Modification of Diet in Renal Disease 怨듭떇씤 “glomerular filtration rate (GFR), in mL/min per 1.73 m2=175×serum creatinine [exp (–1.154)]×age [exp (–0.203)]× [0.742 if female]×[1.21 if black]”뿉 洹쇨굅븯뿬 궛異쒗븯쑝硫13, homeostasis model assessment of insulin resistance (HOMA-IR) 닔移섎뒗 꽑뻾뿰援14뿉꽌 궗슜븳 怨듭떇(fasting insulin×fasting blood glucose/405)쓣 솢슜븯뿬 궛異쒗븯떎.

4) 꽕臾몄“궗 諛 湲고 蹂닔

議곗궗 슂썝뿉 쓽븳 씪씪 硫댁젒 꽕臾몄쑝濡 떎떆븯怨 떦씪 議곗궗 썑 꽕臾몄쓣 寃넗븯怨 닔젙 蹂댁셿옉뾽쓣 븯뿬 꽕臾몄쓽 셿꽦룄瑜 넂떎. 떊泥 怨꾩륫 떊옣(cm), 泥댁쨷(kg)쓣 痢≪젙븯떎. 떊옣怨 泥댁쨷 븳 踰덉뵫 痢≪젙븯쑝硫, 鍮꾨쭔 닔以쓣 寃곗젙븯湲 쐞빐 泥댁쭏웾吏닔(body mass index, BMI; 泥댁쨷[kg]/떊옣쓽 젣怨[m2])瑜 遺꾩꽍뿉 씠슜븯떎. 쓬二 뿬遺뒗 “洹븯뒗 썝옒 닠쓣 紐 留덉떆嫄곕굹 삉뒗 泥섏쓬遺꽣 닠쓣 븞 留덉떗땲源?”뿉 븳 吏덈Ц뿉 ‘삁’濡 떟븷 寃쎌슦 ‘쓬二 寃쏀뿕 뾾쓬’쑝濡, ‘븘땲삤’濡 떟븷 寃쎌슦 “吏湲덈룄 留덉떗땲源?”쓽 異붽 吏덈Ц쓣 븯뿬 ‘븘땲삤’濡 떟븷 寃쎌슦 ‘怨쇨굅 쓬二’濡, ‘삁’濡 떟븷 寃쎌슦 ‘쁽옱 쓬二’濡 遺꾨쪟븯뿬 遺꾩꽍뿉 룷븿븯떎. 쁽옱 씉뿰 뿬遺뒗 “洹븯뒗 吏湲덇퉴吏 떞諛곕 넻뼱 5媛(100媛쒕퉬) 씠긽 뵾썱뒿땲源?”뿉 븳 吏덈Ц뿉 ‘삁’濡 떟븷 寃쎌슦 ‘씉뿰 寃쏀뿕 뾾쓬’쑝濡, ‘븘땲삤’濡 떟븷 寃쎌슦 “吏湲덈룄 뵾슦떗땲源?”쓽 異붽 吏덈Ц쓣 븯뿬 ‘븘땲삤’濡 떟븷 寃쎌슦 ‘怨쇨굅 씉뿰’쑝濡, ‘삁’濡 떟븷 寃쎌슦 ‘쁽옱 씉뿰’쑝濡 援щ텇븯뿬 遺꾩꽍뿉 씠슜븯떎. 닔硫댁떆媛꾩 “洹븯媛 떎젣濡 二쇱쨷뿉 諛ㅼ뿉 옞쓣 옍 떆媛꾩 룊洹 紐 떆媛꾩씠뿀뒿땲源?” “洹븯뒗 吏궃 븳 떖 룞븞 二쇰쭚뿉 룊냼뿉 왂 紐 떆뿉 옞옄由ъ뿉 뱾뿀뒿땲源?”뿉 떟蹂븳 떆媛꾩쓣 넗濡 ‘[(二쇱쨷 닔硫댁떆媛×5)竊(二쇰쭚 닔硫댁떆媛×2)]/7’濡 씪씪 닔硫댁떆媛꾩쓣 怨꾩궛븳 썑 뿰냽蹂닔濡 씠슜븯떎. 媛議 냼뱷 닔以 “洹븯 媛젙쓽 썡 룊洹 닔엯 뼱뒓 젙룄 릺떗땲源?”씪뒗 吏덈Ц뿉 ‘<50留 썝’怨 ‘≥50留 썝, <100留 썝’쑝濡 쓳떟븳 寃쎌슦 ‘<100留 썝’쑝濡, ‘≥100留 썝, <150留 썝’怨 ‘≥150留 썝, <200留 썝’쑝濡 쓳떟븳 寃쎌슦 ‘100留–200留 썝’쑝濡, ‘≥200留 썝, <300留 썝’씠씪怨 쓳떟븳 寃쎌슦 ‘200留–300留 썝’쑝濡, ‘≥300留 썝, <400留 썝’씠씪怨 쓳떟븳 寃쎌슦 ‘300留–400留 썝’쑝濡, ‘≥400留 썝, <600留 썝’怨 ‘≥600留 썝 씠긽’쑝濡 쓳떟븳 寃쎌슦 ‘≥600留 썝’쑝濡 援щ텇븯뿬 遺꾩꽍뿉 씠슜븯떎. 珥 떊泥댄솢룞뿉 븳 궗떦웾(metabolic equivalent tasks, METs) International Physical Activity Questionnaire-long form (IPAQ-LF) 湲곗뿉 뵲씪 븘옒쓽 닔떇쑝濡 怨꾩궛븯뿬 媛믪쓣 궛異쒗븯떎.

Total METs-min/wk=sum of total physical activity (walking竊땘oderate intensity physical activity竊땦igorous intensity physical activity) MET min/wk scores)15.

3. 넻怨 泥섎━

蹂 뿰援ъ뿉꽌뒗 넻怨 遺꾩꽍뿉 STATA/IC version 14.1 (STATA Corp.)쓣 궗슜븯쑝硫, 뿰援 긽옄쓽 씤援ы븰쟻 듅꽦쓣 솗씤븯湲 쐞빐 移댁씠젣怨 寃젙(chi-square test)쓣 넻븳 鍮덈룄 遺꾩꽍怨 룊洹좉컪 궛異쒖쓣 넻븳 湲곗닠 遺꾩꽍쓣 떎떆븯怨, 媛 蹂닔뒗 諛깅텇쑉 삉뒗 룊洹좉낵 몴以렪李⑤줈 몴湲고븯떎. 삉븳 異붿쟻愿李고븳 긽옄쓽 궗利앺썑援 諛쒖깮 諛룄(incidence density)瑜 솗씤븯湲 쐞빐 쟾泥 異붿쟻湲곌컙 룞븞 諛쒖깮븳 씤뀈(person-year)쑝濡 몴湲고븯떎. 蹂 뿰援ъ뿉꽌 떊泥댄솢룞 諛 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦 솗씤쓣 쐞븳 遺꾩꽍 紐⑦삎쓣 李얘린 쐞빐 濡쒓렇 닚쐞 寃젙(log-rank test)쓣 떎떆븳 寃곌낵, 珥 醫뚯떇떆媛꾩쓽 蹂솕뿉 븳 궗利앺썑援 諛쒖깮쓽 鍮꾨쐞뿕 媛젙씠 異⑹”릺吏 븡쓬쓣 솗씤븯떎(p=0.462). 씠뒗 룆由쎈닔媛 궗利앺썑援 諛쒖깮뿉 븳 鍮꾨쐞뿕 媛젙쓣 異⑹”빐빞 븯뒗 Cox 鍮꾨쐞뿕 쉶洹紐⑦삎씠 蹂 뿰援ъ쓽 遺꾩꽍 紐⑦삎쑝濡 쟻빀븯吏 븡떎뒗 쓽誘몄씠誘濡, 蹂 뿰援ъ뿉꽌뒗 떆媛 怨좎젙 怨듬웾(꽦蹂, 닔硫댁떆媛, 떊泥댄솢룞 METs)怨 떆媛 醫낆냽 怨듬웾(굹씠, 닔엯 닔以, 씉뿰 뿬遺, 쓬二 뿬遺, hs-CRP, estimated GFR [eGFR], HbA1C, BMI, HOMA-IR)쓣 紐⑤몢 怨좊젮븿쑝濡쒖뜥 옄猷 異붿젙 떆 솢怨〓맂 寃곌낵瑜 理쒖냼솕븷 닔 엳뒗 떎蹂웾 솗옣 Cox 쉶洹紐⑦삎(extended cox regression model)쓣 꽑깮븯뿬 遺꾩꽍쓣 吏꾪뻾븯떎16.

蹂 뿰援ъ뿉꽌 二쇱쨷, 二쇰쭚, 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦쓣 솗씤븯湲 쐞빐 떎蹂웾 솗옣 Cox 쉶洹紐⑦삎쓣 씠슜븯뿬 궗利앺썑援곗쓽 諛쒖깮쓽 HR怨 95% 떊猶곌뎄媛(confidence interval, CI)쓣 궛異쒗븯쑝硫, 異붽濡 궗利앺썑援 쐞뿕슂냼蹂 二쇱쨷, 二쇰쭚, 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦쓣 솗씤븯湲 쐞빐 媛숈 紐⑦삎쓣 솢슜븯떎. 삉븳 떎蹂웾 솗옣 Cox 쉶洹紐⑦삎 遺꾩꽍 떆 醫뚯떇뻾룞 蹂솕 궗利앺썑援곗뿉 쁺뼢쓣 겮移섎뒗 뿰졊, 꽦蹂, 닔硫댁떆媛, HbA1C, eGFR, hs-CRP, 쓬二 뿬遺, 씉뿰 뿬遺, 닔엯 닔以, BMI, HOMA-IR, 珥 떊泥댄솢룞 METs쓣 룷븿븳 샎 蹂씤쓣 蹂댁젙븯뿬 遺꾩꽍븯쑝硫, 紐⑤뱺 쑀쓽 솗瑜좎 p<0.05濡 꽕젙븯떎.

寃 怨

蹂 뿰援ъ쓽 씤援ы넻怨꾩쟻 듅꽦 Table 1뿉 젣떆븯떎. 癒쇱 궓꽦씠 李⑥븯뒗 鍮꾩쑉 formerly ST 洹몃9뿉꽌 媛옣 넂븯怨 newly ST 洹몃9뿉꽌 媛옣 궙븯쑝硫, 洹몃9 媛 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠瑜 솗씤븷 닔 엳뿀떎. BMI쓽 寃쎌슦 formerly ST 洹몃9뿉꽌 媛옣 넂 BMI 닔移섎 솗씤븷 닔 엳뿀怨, consistently non-ST 洹몃9뿉꽌 媛옣 궙 BMI 닔移섎 蹂댁쑝硫, 洹몃9 媛 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠瑜 솗씤븷 닔 엳뿀떎. 珥 떊泥댄솢룞 METs뒗 consistently non-ST 洹몃9씠 媛옣 넂븯怨 consistently ST 洹몃9씠 媛옣 궙븯쑝硫, 洹몃9 媛 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠瑜 솗씤븷 닔 엳뿀떎. 꽦蹂, BMI, 珥 떊泥댄솢룞 METs쓣 젣쇅븳 紐⑤뱺 蹂닔뿉꽌 醫뚯떇뻾룞 蹂솕 洹몃9 媛 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠뒗 굹굹吏 븡븯떎.

Table 1 . Baseline characteristics of the subjects by change in sitting time (ST)

Characteristics Change in ST* (n=1,686)p-value
Consistently non-ST (LL) Formerly ST (HL) Newly ST (LH) Consistently ST (HH)
No. of subjects1,054291210131
Age (yr)56.82±6.0157.31±6.1157.77±6.7656.35±5.880.483
Male sex (%)48.0160.4844.7654.200.001
Sleep time (hr/day)6.16±1.016.12±1.016.08±1.076.01±1.140.091
Body mass index (kg/m2)24.11±2.6424.73±2.8324.32±2.5824.46±2.590.032
Total METs (METs-min/wk)3,626.04±2,522.542,926.22±2,024.892,511.45±1,969.702,173.57±1,716.58<0.001
hs-CRP (mL/dL)1.27±3.281.45±2.701.30±3.241.04±1.510.697
eGFR (mL/min/1.73m2)96.46±18.6295.84±18.3994.75±17.8693.89±16.840.068
HOMA-IR1.78±0.831.83±0.951.76±0.811.81±0.800.748
HbA1C (%)5.59±0.585.60±0.655.54±0.535.59±0.730.634
Current drinking (%)48.6753.2643.3347.330.479
Current smoking (%)10.3413.7512.3813.740.216
Low income (%)7.596.5311.909.160.203
Metabolic syndrome risk factor
Elevated FBG (%)16.6018.2114.2915.270.678
Elevated BP (%)6.645.508.106.110.707
Elevated TG (%)23.2425.0926.6724.430.720
Elevated WC (%)10.4412.3715.7112.900.154
Low HDL-C (%)32.6432.9935.2432.060.899
ST (hr/day)
Weekday4.48±1.679.39±1.774.89±1.7310.06±1.93<0.001
Weekend4.37±1.867.94±2.544.55±1.918.83±2.74<0.001

Values are presented as number only, mean±standard deviation, or percentages only.

LL: low-low, HL: high-low, LH: low-high, HH: high-high, METs: metabolic equivalent tasks, hs-CRP: high-sensitivity C-reactive protein, eGFR: estimated glomerular filtration rate, HOMA-IR: homeostasis model assessment of insulin resistance, HbA1C: glycosylated hemoglobin, FBG: fasting blood glucose, BP: blood pressure, TG: triglyceride, WC: waist circumference, HDL-C: high density lipoprotein cholesterol.

*LL, <7 hr/day in 2011−2012 and 2013−2014; HL, ≥7 hr/day in 2011−2012 and <7 hr/day in 2013−2014; LH, <7 hr/day in 2011−2012 and ≥7 hr/day in 2013−2014; HH, ≥7 hr/day in 2011−2012 and 2013−2014.



醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쓽 뿰愿꽦뿉 븳 遺꾩꽍 寃곌낵뒗 Table 2뿉 젣떆븯떎. 珥 씪씪 醫뚯떇떆媛 蹂솕쓽 寃쎌슦 newly ST 洹몃9怨 consistently non-ST 洹몃9쓽 1,000紐낅떦 諛쒖깮瑜좎씠 媛곴컖 48.52紐낃낵 38.93紐낆쑝濡 쑀쓽븳 李⑥씠瑜 솗씤븷 닔 엳뿀쑝硫, 뿰졊怨 꽦蹂꾩쓣 룷븿븳 떎뼇븳 샎蹂닔瑜 蹂댁젙뻽쓣 븣 궗利앺썑援 諛쒖깮 HR씠 1.33諛(95% CI, 1.02–1.74) 利앷븯뒗 寃껋쓣 솗씤븯떎. 二쇱쨷 씪씪 醫뚯떇떆媛 蹂솕쓽 寃쎌슦 newly ST 洹몃9怨 consistently non-ST 洹몃9쓽 1,000紐낅떦 諛쒖깮瑜좎씠 媛곴컖 52.45紐낃낵 38.08紐낆쑝濡 珥 醫뚯떇떆媛꾨낫떎 뜑 겙 李⑥씠瑜 蹂댁쑝硫, 뿰졊怨 꽦蹂꾩쓣 룷븿븳 떎뼇븳 샎蹂닔瑜 蹂댁젙뻽쓣 븣 궗利앺썑援 諛쒖깮 HR씠 1.47諛(95% CI, 1.13–1.92) 利앷븯뒗 寃껋쓣 솗씤븯떎. 二쇰쭚 씪씪 醫뚯떇뻾룞 蹂솕쓽 寃쎌슦 궗利앺썑援 諛쒖깮쐞뿕怨 넻怨꾩쟻쑝濡 쑀쓽븳 뿰愿꽦쓣 솗씤븷 닔 뾾뿀떎.

Table 2 . Incidence density and hazard ratio of metabolic syndrome (MetS) according to change in sitting time (ST)

Characteristic of risk factorsMetS (n=1,686)Person-yearIncidence density (95% CI)Multivariable adjusted HR (95% CI) (n=1,686)
Change in ST (total)
Consistently non-ST (LL)2897,421.7938.93 (34.69−43.69)1.00 (Reference)
Formerly ST (HL)822,081.4039.39 (31.72−48.91)0.92 (0.72−1.19)
Newly ST (LH)691,421.8348.52 (38.32−61.44)1.33* (1.02−1.74)
Consistently ST (HH)34898.4837.84 (27.03−52.95)0.89 (0.62−1.28)
p for trend0.621
Change in ST (weekday)
Consistently non-ST (LL)2817,378.2038.08 (33.88−42.80)1.00 (Reference)
Formerly ST (HL)832,090.4139.70 (32.01−49.23)0.98 (0.76−1.27)
Newly ST (LH)711,353.5152.45 (41.56−66.19)1.47** (1.13−1.92)
Consistently ST (HH)391,001.3938.94 (28.45−53.30)0.92 (0.65−1.30)
p for trend0.338
Change in ST (weekend)
Consistently non-ST (LL)3107,785.1439.81 (35.62−44.50)1.00 (Reference)
Formerly ST (HL)711,872.0137.92 (30.05−47.85)0.94 (0.72−1.23)
Newly ST (LH)621,432.8943.26 (33.73−55.49)1.13 (0.85−1.49)
Consistently ST (HH)31733.4742.26 (29.72−60.09)1.00 (0.68−1.45)
p for trend0.806
Total47411,823.5240.08-

Multivariable model age, sex, income level, sleep duration, alcohol consumption, current smoking, human serum-C reactive protein, body mass index, glycosylated hemoglobin, estimated glomerular filtration rate, homeostasis model assessment of insulin resistance, and total metabolic equivalent tasks.

CI: confidence interval, HR, hazard ratio; LL: low-low, HL: high-low, LH: low-high, HH: high-high.

Incidence density=case/person-year×1,000. LL, <7 hr/day in 2011−2012 and 2013−2014; HL, ≥7 hr/day in 2011−2012 and <7 hr/day in 2013−2014; LH, <7 hr/day in 2011−2012 and ≥7 hr/day in 2013−2014; HH, ≥7 hr/day in 2011−2012 and 2013−2014.

*p<0.05, **p<0.01.



궗利앺썑援 쐞뿕슂냼蹂 쑀蹂묒뿉 뵲瑜 二쇱쨷, 二쇰쭚 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦 寃곌낵뒗 Table 3뿉 젣떆븯떎. 湲곕컲議곗궗뿉꽌 넂 以묒꽦吏諛 닔以뿉 빐떦븯뒗 寃쎌슦, newly ST 洹몃9씠 consistently non-ST 洹몃9蹂대떎 궗利앺썑援 諛쒖깮 HR씠 媛곴컖 1.76諛(95% CI, 1.14–2.72), 1.93諛( 95% CI, 1.26–2.96), 1.72諛( 95% CI, 1.10–2.69) 利앷븯뒗 寃껋쓣 솗씤븯떎. 洹 쇅 紐⑤뱺 궗利앺썑援 쐞뿕슂씤蹂 珥 씪씪 醫뚯떇떆媛, 二쇱쨷 씪씪 醫뚯떇떆媛, 二쇰쭚 씪씪 醫뚯떇떆媛꾩쓽 蹂솕뒗 궗利앺썑援 諛쒖깮쐞뿕怨 넻怨꾩쟻쑝濡 쑀쓽븳 뿰愿꽦쓣 솗씤븷 닔 뾾뿀떎.

Table 3 . Hazard ratio of metabolic syndrome according to change in sitting time (ST) by metabolic syndrome risk factor

Characteristic of risk factorsElevated FBG (n=278)Elevated BP (n=111)Elevated TG (n=406)Elevated WC (n=196)Low HDL-C (n=556)
Change in ST (total)
Consistently non-ST (LL)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
Formerly ST (HL)0.82 (0.50닋1.37)0.94 (0.32닋2.78)0.72 (0.46닋1.15)0.96 (0.53닋1.68)1.19 (0.84닋1.70)
Newly ST (LH)1.42 (0.83닋2.41)1.40 (0.56닋3.49)1.76* (1.14닋2.72)1.59 (0.93닋2.74)1.41 (0.95닋2.08)
Consistently ST (HH)1.07 (0.52닋2.18)0.88 (0.18닋4.18)1.30 (0.74닋2.28)1.45 (0.70닋3.00)0.76 (0.43닋1.34)
p for trend0.4700.7220.0670.1020.755
Change in ST (weekday)
Consistently non-ST (LL)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
Formerly ST (HL)0.83 (0.49닋1.38)0.58 (0.15닋2.20)0.84 (0.53닋1.32)0.88 (0.49닋1.59)1.26 (0.89닋1.80)
Newly ST (LH)1.43 (0.85닋2.40)1.67 (0.68닋4.06)1.93** (1.26닋2.96)1.67 (0.97닋2.86)1.43 (0.96닋2.13)
Consistently ST (HH)1.11 (0.56닋2.19)1.37 (0.37닋5.10)1.15 (0.67닋1.98)1.47 (0.73닋2.96)0.86 (0.50닋1.48)
p for trend0.4000.3750.0750.0810.525
Change in ST (weekend)
Consistently non-ST (LL)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)1.00 (Reference)
Formerly ST (HL)0.74 (0.44닋1.27)0.36 (0.09닋1.35)0.92 (0.58닋1.44)0.71 (0.39닋1.28)1.09 (0.75닋1.57)
Newly ST (LH)1.64 (0.96닋2.790.83 (0.29닋2.30)1.72* (1.10닋2.69)1.28 (0.75닋2.20)0.86 (0.59닋1.31)
Consistently ST (HH)1.26 (0.59닋2.67)0.53 (0.06닋4.13)1.57 (0.92닋2.69)1.50 (0.68닋3.30)0.78 (0.41닋1.45)
p for trend0.2130.3710.0170.3210.405

Multivariable model age, sex, income level, sleep duration, alcohol consumption, current smoking, human serum-C reactive protein, body mass index, glycosylated hemoglobin, estimated glomerular filtration rate, homeostasis model assessment of insulin resistance, and total metabolic equivalent tasks.

FBG: fasting blood glucose, BP: blood pressure, TG: triglyceride, WC: waist circumference, HDL-C: high density lipoprotein cholesterol, LL: low-low, HL: high-low, LH: low-high, HH: high-high.

LL, <7 hr/day in 2011닋2012 and 2013닋2014; HL, ≥7 hr/day in 2011닋2012 and <7 hr/day in 2013닋2014; LH, <7 hr/day in 2011닋2012 and ≥7 hr/day in 2013닋2014; HH, ≥7 hr/day in 2011닋2012 and 2013닋2014.

*p<0.05, **p<0.01.


怨 李

蹂 뿰援ъ쓽 寃곌낵瑜 넻빐 珥, 二쇱쨷 newly ST뒗 궗利앺썑援 諛쒖깮쐞뿕쓣 利앷떆궎硫, 二쇱쨷 newly ST뒗 珥 newly ST蹂대떎 궗利앺썑援곗쓽 諛쒖깮쐞뿕쓣 겕寃 利앷떆궎뒗 寃껋쓣 솗씤븷 닔 엳뿀떎. 異붽쟻쑝濡 궗利앺썑援 쐞뿕슂냼 以 넂 以묒꽦吏諛 닔以쓣 媛吏 洹몃9뿉꽌留 珥, 二쇱쨷 newly ST媛 궗利앺썑援 諛쒖깮쐞뿕쓣 利앷떆궎뒗 寃껋쓣 솗씤븷 닔 엳뿀떎.

넂 닔以쓽 醫뚯떇뻾룞 以묎퀬媛뺣룄 떊泥댄솢룞뿉 李몄뿬븿뿉룄 遺덇뎄븯怨 떖삁愿吏덊솚, 떦눊蹂, 븫 벑쓽 蹂묒쟻 긽깭瑜 利앷떆궗 닔 엳뒗 쐞뿕슂냼濡 븣젮졇 엳쑝硫17, 醫뚯떇떆媛꾩쓽 媛먯냼 떊泥댄솢룞쓽 利앷뒗 궗利앺썑援곗쓽 쐞뿕슂냼瑜 媛먯냼븷 닔 엳뒗 쟾왂쑝濡 媛뺤“릺怨 엳떎10. 쁽옱源뚯 吏꾪뻾맂 醫뚯떇뻾룞怨 궗利앺썑援곗쓽 뿰愿꽦뿉 븳 꽑뻾뿰援ъ뿉꽌 뒪겕由 湲곕컲 醫뚯떇뻾룞뿉 4떆媛 씠긽 李몄뿬븳 궓꽦쓽 寃쎌슦 궗利앺썑援 쑀蹂묐쪧씠 55.6%, 뿬꽦 60.3%쑝濡, 뒪겕由 湲곕컲 醫뚯떇뻾룞뿉 븳 궗利앺썑援곗쓽 쑀蹂묐쪧 궓꽦蹂대떎 뿬꽦씠 넂 寃껋쑝濡 蹂닿퀬븳 諛 엳떎17. 떎瑜 뿰援ъ뿉꽌뒗 媛옣 넂 4遺꾩쐞닔뿉 엳뒗 궗엺(9.4떆媛 醫뚯떇뻾룞뿉 李몄뿬븯뒗 궗엺)쓽 寃쎌슦 媛옣 궙 4遺꾩쐞닔뿉 엳뒗 궗엺(6.7떆媛 醫뚯떇뻾룞뿉 李몄뿬븯뒗 궗엺)蹂대떎 58% 쓽 궗利앺썑援 쐞뿕 援먯감鍮(odds ratio, OR)媛 利앷븯뒗 寃껋쓣 솗씤븯떎(OR, 1.58; 95% CI, 1.01–2.48)18. 삉븳 珥 씪씪 醫뚯떇뻾룞 넂 以묒꽦吏諛, 궙 HDL-C, 넂 怨듬났 떆 삁떦怨 媛숈 궗利앺썑援 슂냼뱾쓽 利앷맂 OR怨 뿰愿릺뼱 엳뿀쑝굹, 二쇰떦 以묎퀬媛뺣룄 떊泥댄솢룞 李몄뿬 젙룄瑜 蹂댁젙뻽쓣 븣 醫뚯떇뻾룞怨 紐⑤뱺 궗利앺썑援 쐞뿕슂냼쓽 뿰愿꽦쓣 솗씤븷 닔 뾾뿀떎18.

蹂 뿰援ъ쓽 Table 2뿉꽌 newly ST쓽 궗利앺썑援 諛쒖깮쐞뿕씠 利앷븯뒗 씠쑀뒗 醫뚯떇떆媛꾩쓽 利앷뒗 떊泥댄솢룞怨 룆由쎌쟻쑝濡 씠쟾뿉 뾾뜕 깉濡쒖슫 嫄닿컯 臾몄젣쓽 諛쒖깮쓣 珥덈옒븯뒗 寃껋쑝濡 깮媛곷맂떎8,19. 꽑뻾뿰援ъ뿉 뵲瑜대㈃ newly ST consistently ST瑜 鍮꾧탳뻽쓣 븣 newly ST쓣 媛옣 궗留앹쐞뿕씠 넂 洹몃9쑝濡 蹂닿퀬븯쑝硫, 洹 씠쑀濡 newly ST쓽 寃쎌슦 떎瑜 洹몃9뱾蹂대떎 60꽭 씠긽씤 끂씤 鍮꾩쑉씠 넂븯怨, 45%媛 솢룞쟻씤 吏곸뾽뿉꽌 븠븘꽌 씪븯뒗 吏곸뾽쑝濡 삷寃쇨굅굹20, 궗쉶쟻 솢룞쓽 눜濡 뀛젅鍮꾩쟾 떆泥怨 媛숈 醫뚯떇뻾룞씠 利앷븯硫댁꽌 깉濡쒖슫 嫄닿컯 臾몄젣瑜 諛쒖깮븷 닔 엳쓬쓣 떆궗븯떎21. 醫뚯떇뻾룞쓽 利앷뿉 뵲瑜 궗利앺썑援 諛쒖깮쓽 湲곗쟾 젙솗엳 諛앺吏 諛붾뒗 뾾쑝굹, 吏냽맂 醫뚯떇떆媛꾩 吏洹쇱꽟쑀 닔異 媛먯냼濡 씤븳 由ы룷떒諛깆쭏 由ы뙆븘젣(lipoprotein lipase, LPL) 媛먯냼 諛젒븳 뿰愿꽦쓣 媛吏硫 씠뒗 궗쟻 臾몄젣瑜 珥덈옒븯뿬 씤뒓由 빆꽦쓣 쑀諛쒗븯뒗 寃껋쑝濡 蹂닿퀬맂 諛 엳떎22. 듅엳 吏냽맂 醫뚯떇떆媛꾩쑝濡 씤븳 LPL쓽 媛먯냼뒗 以묎퀬媛뺣룄 떊泥댄솢룞뿉 븳 LPL쓽 利앷蹂대떎 4諛 뜑 겙 쁺뼢쓣 諛쏆쑝硫, LPL뿉 븳 messenger RNA쓽 踰덉뿭怨쇱젙씠 떎瑜닿린 븣臾몄뿉 꽌濡 떎瑜 쁺뼢쓣 諛쏅뒗 寃껋쑝濡 蹂닿퀬븳 諛 엳떎8. 뵲씪꽌 醫뚯떇뻾룞 利앷뒗 떊泥댄솢룞 李몄뿬뿉 룆由쎌쟻쑝濡 LPL 媛먯냼 뿰愿맂 씤뒓由 빆꽦 利앷瑜 쑀諛쒗븯硫8, 씠濡 씤븳 삁떦 닔移섏쓽 怨쇰룄븳 利앷23, 쑀由ъ諛⑹궛 遺꾪빐 媛먯냼24 벑쑝濡 궗利앺썑援 諛쒖깮씠 利앷븯뒗 寃껋쑝濡 깮媛곷맂떎.

異붽濡 Table 2뿉꽌 二쇱쨷 諛 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕뿉꽌留 쑀쓽誘명븳 뿰愿꽦씠 굹궗뒗뜲, 꽑뻾뿰援ъ뿉꽌 二쇰쭚 醫뚯떇떆媛꾨낫떎 二쇱쨷 醫뚯떇떆媛꾩씠 떎젣 醫뚯떇떆媛꾩쓣 뜑 옒 諛섏쁺븳떎怨 븯怨25, 媛쒖씤쓽 醫뚯떇깮솢쓣 異붿젙븷 븣 二쇱쨷/二쇰쭚쓣 援щ텇븯뿬 痢≪젙븯뒗 寃껋씠 以묒슂븯떎怨 蹂닿퀬븳 뿰援щ룄 엳떎26. 떎젣濡 옄媛蹂닿퀬떇쑝濡 痢≪젙맂 醫뚯떇떆媛꾩뿉꽌 二쇰쭚蹂대떎 二쇱쨷 醫뚯떇떆媛꾩씠 1떆媛 뜑 넂 寃껋쓣 솗씤븷 닔 엳뿀怨, 蹂 뿰援ъ뿉꽌룄 씪씪 醫뚯떇떆媛 蹂솕뿉 뵲瑜 二쇱쨷 醫뚯떇떆媛꾩씠 紐⑤몢 二쇰쭚 醫뚯떇떆媛꾨낫떎 넂 寃껋쓣 솗씤븷 닔 엳뿀떎26. 뵲씪꽌 떎젣 醫뚯떇깮솢怨 궗利앺썑援 諛쒖깮쐞뿕쓣 삁痢≫븯뒗 泥숇룄濡쒕뒗 二쇰쭚 醫뚯떇떆媛꾨낫떎뒗 二쇱쨷 醫뚯떇떆媛꾩쓣 궗슜븯뒗 寃껋씠 쟻빀븷 寃껋쑝濡 깮媛곷맂떎25.

Table 3쓽 湲곕컲議곗궗뿉꽌 넂 以묒꽦吏諛 닔以뿉 빐떦븯뒗 寃쎌슦뿉留 newly ST 洹몃9쓽 궗利앺썑援 諛쒖깮 HR씠 넂寃 利앷븯뒗 씠쑀뒗 넂 以묒꽦吏諛 닔以쓣 媛吏 궗엺쓽 醫뚯떇떆媛 利앷媛 궗利앺썑援 諛쒖깮뿉 媛옣 겙 쁺뼢쓣 젣怨듯븯뒗 泥댁諛 媛먯냼뿉 異붽쟻씤 뼱젮쓣 二쇨린 븣臾몄쑝濡 깮媛곷맂떎. 醫뚯떇뻾룞쓽 利앷뒗 洹쇱쑁 궡뿉꽌 쑀由ъ諛⑹궛쓣 뿉꼫吏濡 솢슜븯룄濡 븯뒗 슚냼씤 LPL 솢꽦룄瑜 媛먯냼떆궎寃 릺怨, 洹쇱쑁쓽 쑀由ъ諛⑹궛쓽 궗슜씠 쟻뼱吏硫댁꽌 쑀由ъ諛⑹궛 異뺤쟻릺怨 삁以 以묒꽦吏諛 닔移섍 利앷븯寃 맂떎24. 씠븣 異뺤쟻맂 쑀由ъ諛⑹궛 씤뒓由 떊샇 쟾떖怨쇱젙쓣 蹂솕떆耳 씤뒓由 빆꽦씠 利앷븯怨27, glucose transporter type 4쓽 쟾쐞媛 媛먯냼븯뿬 洹쇱쑁 궡 떦 쑀엯씠 媛먯냼븯湲 븣臾몄뿉28 궗利앺썑援곗씠 諛쒖깮븯뒗 寃껋쑝濡 蹂닿퀬븳 諛 엳떎. 利, 醫뚯떇떆媛꾩쓽 利앷뒗 넂 삁以 以묒꽦吏諛 닔移섎 媛吏 궗엺뿉꽌 LPL 솢꽦룄瑜 뜑슧 媛먯냼떆궎誘濡24 씤뒓由 빆꽦 利앷媛 궗利앺썑援 諛쒖깮쓣 珥덈옒븯뒗 寃껋쑝濡 깮媛곷맂떎27,28.

蹂 뿰援ъ쓽 寃곌낵뒗 二쇱쨷, 二쇰쭚, 珥 씪씪 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦쓣 솗씤븳 醫낅떒 뿰援щ줈 洹 쓽誘몃 媛吏꾨떎. 븯吏留 蹂 뿰援ъ뿉뒗 紐 媛吏 젣븳젏씠 議댁옱븳떎. 泥 踰덉㎏, 蹂 뿰援щ뒗 옄湲곕낫怨좎떇 꽕臾몄瑜 궗슜븯뿬 醫뚯떇떆媛꾩쓣 痢≪젙븯湲 븣臾몄뿉 쉶긽 삤李(recall bias)굹 궡슜 떦룄뿉 븳 슦젮媛 議댁옱븳떎. 븯吏留 醫뚯떇떆媛꾧낵 닔硫댁떆媛꾩쓽 빀씠 24떆媛 씠긽 릺뒗 궗엺쓽 寃쎌슦瑜 젣쇅븯뿬 닔吏묐맂 옄猷뚯뿉 븳 삤瑜 媛뒫꽦쓣 理쒖냼솕븯怨, 떊泥댄솢룞쓽 쁺뿭쓣 뜑 꽭遺꾪솕븯뿬 꽕臾몄쓣 援ъ꽦븳 IPAQ-LF瑜 궗슜븯뿬 吏덊솚 諛쒖깮 異붿젙移섎 넂씠怨좎옄 븯떎15. 異뷀썑 뿰援ъ뿉꽌 뜑 媛앷솕맂 떊泥댄솢룞 痢≪젙 옣鍮꾩씤 媛냽룄怨꾨 씠슜븯뿬 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援곗쓽 諛쒖깮쐞뿕쓣 솗씤븯뒗 寃껋씠 븘슂븯떎. 몢 踰덉㎏, 蹂 뿰援ъ뿉꽌뒗 븳誘쇨뎅 궡 씪遺 吏뿭뿉 嫄곗<븯뒗 以묐뀈 꽦씤쓣 긽옄濡 꽑젙븯湲 븣臾몄뿉 뿰援 寃곌낵媛 븳誘쇨뎅쓣 몴븯뒗 寃껋쑝濡 蹂닿린뿉 씪諛섑솕쓽 삤瑜섍 議댁옱븳떎. 異뷀썑 뿰援ъ뿉꽌뒗 쟾援誘쇱쓣 긽쑝濡 븳 肄뷀샇듃 뿰援щ 넻빐 醫뚯떇떆媛꾩쓽 蹂솕 궗利앺썑援 諛쒖깮쐞뿕쓽 뿰愿꽦쓣 솗씤븷 븘슂꽦씠 議댁옱븳떎. 꽭 踰덉㎏, 궗利앺썑援곗뿉 쁺뼢쓣 誘몄튂뒗 떇씠 蹂닔瑜 蹂댁젙븷 닔 뾾뿀떎. 븯吏留 궗利앺썑援곗뿉 쁺뼢쓣 誘몄튂뒗 씉뿰, 쓬二, 떊泥댄솢룞怨 媛숈 깮솢뒿愿怨 HOMA-IR, hs-CRP, eGFR, HbA1C怨 媛숈 삁븸蹂닔瑜 蹂댁젙븿쑝濡쒖뜥 蹂 뿰援ъ쓽 떊猶곗꽦쓣 넂씠怨좎옄 븯떎. 異뷀썑 뿰援ъ뿉꽌뒗 떇씠 뒿愿怨 룆由쎌쟻쑝濡 醫뚯떇떆媛 蹂솕媛 궗利앺썑援 諛쒖깮쐞뿕뿉 뿰愿릺뼱 엳뒗吏 솗씤븷 븘슂꽦씠 엳떎.

蹂 뿰援ъ뿉꽌뒗 珥 醫뚯떇떆媛꾩씠 利앷븷 寃쎌슦 궗利앺썑援 諛쒖깮쐞뿕씠 利앷븯뒗 寃껋쓣 솗씤븷 닔 엳뿀怨, 珥 醫뚯떇떆媛꾧낵 二쇱쨷 醫뚯떇떆媛꾩 궗利앺썑援곗쓽 諛쒖깮쐞뿕怨 諛젒븯寃 뿰愿릺뼱 엳뿀떎. 삉븳 궗利앺썑援 쐞뿕슂냼 以 삁以 以묒꽦吏諛 닔移섍 넂쓣 寃쎌슦 醫뚯떇떆媛꾩쓽 利앷뒗 궗利앺썑援 諛쒖깮쐞뿕쓣 겕寃 利앷떆궗 닔 엳쓬쓣 솗씤븯떎. 醫뚯떇떆媛꾩쓽 蹂솕뒗 怨좏삁븬 諛쒖깮쓣 삁痢≫븯뒗 泥숇룄濡 쑀슜븳 媛移섍 엳쑝硫, 蹂 뿰援ъ쓽 寃곌낵뒗 醫뚯떇떆媛꾩쓽 利앷 궗利앺썑援 諛쒖깮쐞뿕쓣 뿰援ы븯뒗 뜲 븘슂븳 湲곗큹 옄猷뚮줈 솢슜맆 닔 엳쓣 寃껋쑝濡 깮媛곷맂떎. 삉븳 떊泥댄솢룞 遺議깆뿉 븳 궗利앺썑援 諛쒖깮쐞뿕쓣 以꾩씠湲 쐞빐 醫뚯떇뻾룞 媛먯냼 떊泥댄솢룞 珥됱쭊 봽濡쒓렇옩쓣 援媛 諛 湲곗뾽 李⑥썝뿉꽌 옣젮븷 븘슂꽦씠 엳떎.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Author Contributions

Conceptualization, Validation: DYP, YSK. Data curation, Formal analysis, Investigation, Resources, Visualization: DYP. Methodology, Supervision: all authors. Project administration: YSK, EKK. Writing–original draft: DYP, YSK. Writing–review & editing: all authors.

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