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Aerobic Capacity and Obesity Ratio of Korea Firefighters by Job Duties: Implications for Fitness Management
Korean J Sports Med 2024;42:23-30
Published online March 1, 2024;  https://doi.org/10.5763/kjsm.2024.42.1.23
© 2024 The Korean Society of Sports Medicine.

Ji-Been Kim1, Min-Geon Je2, Chae-Been Kim1, Jung-Jun Park1, Hyun-Joo Kang3, Wook Song4,5, Chung-Gun Lee4, Yeon-Soon Ahn6, Han-Joon Lee2,*, Dong-Il Seo7,*

1Department of Sports Science, Pusan National University, Busan, 2School of Sport Science, University of Ulsan, Ulsan, 3Department of Sports Medicine, Soonchunhyang University, Asan, 4Department of Physical Education, Institute of Sport Science, Seoul National University, Seoul, 5Institute on Aging, Seoul National University, Seoul, 6Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, 7Department of Sports Science, Dongguk University, Gyeongju, Korea
Correspondence to: Han-Joon Lee
School of Sport Science, University of Ulsan, 93 Daehak-ro, Nam-gu, Ulsan 44610, Korea
Tel: +82-52-259-2384, Fax: +82-52-259-1696, E-mail: hanjoon@ulsan.ac.kr
Dong-Il Seo
Department of Sports Science, Dongguk University, 123 Dongdae-ro, Gyeongju 38066, Korea
Tel: +82-54-770-2196, E-mail: seodi74@dongguk.ac.kr
*These authors contributed equally to this work.
Received October 10, 2023; Revised November 10, 2023; Accepted December 10, 2023.
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: Firefighting duties range from field roles such as suppression, rescue, and emergency medical services (EMS) to various administrative tasks. Despite these differences, they face uniform fitness standards in Korea. This study seeks to define distinct fitness needs for each duty and provide data for customized standards.
Methods: One hundred seventy-six Korean male firefighters participated, categorized into suppression (n=76), rescue (n=22), administrative (n=27), and EMS (n=51) roles. All underwent maximal oxygen consumption (VO2 max) tests for aerobic capacity, with body composition measured using bioelectrical impedance and height recorded with a stadiometer.
Results: The VO2 max (mL/kg/min) among Korean male firefighters varied across different job duties: suppression (39.96±5.84), rescue (44.84±4.85), administration (40.27±7.01), and EMS (40.51±6.75). Rescue had the highest VO2 max, which was significantly higher (p=0.013). The body mass index (BMI, kg/m2) values were as follows: suppression (25.07±2.55), rescue (24.95±1.71), EMS (24.33±3.21), and administration (25.10±2.48). There was no statistically significant difference in BMI values (p=0.464).
Conclusion: This study evaluated the VO2 max and BMI of South Korean male firefighters according to their job duties. It found that 54.5% did not meet the recommended VO2 max standard of 42 mL/kg/min for their activities, and 77.5% had a BMI indicating overweight or higher. However, it is important to note that not every firefighting duty requires high fitness levels. The key is ensuring firefighters possess the fitness necessary for their specific roles to maintain safety and efficiency. The study aims to provide data for creating fitness management guidelines tailored to the diverse duties of firefighters.
Keywords : Body composition, Cardiorespiratory fitness, Firefighter, Obesity
꽌 濡

냼諛⑷났臾댁썝쓽 吏곷Т뒗 겕寃 쇅洹쇨낵 궡洹쇱쑝濡 굹돇硫 쇅洹쇱 솕옱 吏꾩븬, 援ъ“, 援ш툒 벑 떎뼇븳 吏곷Т濡 援ъ꽦릺뼱 엳떎. 냼諛⑹쭅臾대뒗 吏곸쥌怨 鍮꾧탳빐 쐞뿕븳 솚寃쎌뿉꽌 씠猷⑥뼱吏誘濡, 떊泥댁쟻쑝濡 넂 닔以쓽 떎뼇븳 泥대젰 슂냼媛 븘슂븯떎1,2. 듅엳, 떖룓吏援щ젰 냼諛⑷났臾댁썝쓽 냼諛⑹쭅臾 쟻빀룄瑜 룊媛븯뒗 뜲 以묒슂븳 吏몴濡 솢슜릺怨 엳떎3. 삉븳 떖룓吏援щ젰怨 떊泥닿뎄꽦 궗씠뿉 넂 젙쟻 긽愿꽦씠 엳쑝硫 떖룓吏援щ젰 諛 떊泥댁“꽦씠 냼諛⑷났臾댁썝쓽 닚吏 諛 怨듭긽瑜좎쓽 二쇰맂 썝씤씤 떖삁愿 吏덊솚怨 넂 긽愿꽦쓣 媛吏怨 엳쓬씠 諛앺議뚮떎4,5. 씠뿉 뿰援ъ옄뱾 냼諛⑷났臾댁썝쓽 嫄닿컯怨 吏곷Т 닔뻾쓣 쐞빐 泥댁꽦遺꾩쓣 쟻젅븳 닔以쑝濡 愿由ы븷 寃껋쓣 젣븞븯怨 엳떎6-8.

떖삁愿 吏덊솚 떖룓吏援щ젰怨 넂 遺쟻 긽愿꽦쓣 蹂댁씠硫4 떖룓吏援щ젰 떖삁愿 吏덊솚쓣 삁痢≫븯뒗 吏몴濡 솢슜맂떎怨 蹂닿퀬릺怨 엳뼱 냼諛⑷났臾댁썝뿉寃 以묒슂븳 泥대젰 吏몴씤 寃껋쑝濡 蹂댁씤떎9. 씪諛섏쟻쑝濡 떖룓吏援щ젰쓣 룊媛븯뒗 吏몴濡 理쒕 궛냼꽠痍⑤웾(maximal oxygen consumption, VO2 max)瑜 二쇰줈 솢슜븯怨 엳쑝硫10,11, 냼諛⑷났臾댁썝쓽 VO2 max뒗 냼諛⑹쭅臾댁쓽 슚쑉꽦怨 諛젒븳 愿젴꽦쓣 媛吏怨 엳뒗 寃껋쑝濡 븣젮졇 엳떎12-14. 誘멸뎅솕옱삁諛⑺삊쉶(National Fire Protection Association, NFPA)뒗 븞쟾븯怨 슚쑉쟻씤 냼諛⑹쭅臾 닔뻾쓣 쐞븳 VO2 max 닔以쓣 빟 42 mL/kg/min 씠긽쑝濡 沅뚭퀬븯떎15. 삉븳 솕옱 吏꾩븬 以 떊泥대 蹂댄샇븯湲 쐞빐 22–30 kg쓽 蹂댄샇옣鍮꾨 李⑹슜븯怨 吏곷Т瑜 닔뻾븯뒗뜲, 씠濡 씤빐 궛냼꽠痍⑤웾(VO2)씠 0.8–1.2 L/min 異붽濡 슂援щ맂떎뒗 뿰援 寃곌낵瑜 蹂닿퀬븯떎16,17. 삉븳 VO2 max媛 3 mL/kg/min 利앷븯硫 遺긽 媛뒫꽦씠 14% 媛먯냼븯뒗 寃껋쑝濡 굹궗떎18. 씠泥섎읆 떖룓吏援щ젰 怨듭긽瑜좉낵 넂 遺쟻 긽愿꽦쓣 蹂댁씠뒗 以묒슂븳 吏몴濡 蹂닿퀬릺怨 엳떎.

냼諛⑹쭅臾댁쓽 넂 떊泥댁쟻 슂援 닔以뿉룄 遺덇뎄븯怨, 떎닔쓽 냼諛⑷났臾댁썝뱾 鍮꾨쭔怨 떖삁愿 吏덊솚쓽 쐞뿕뿉 끂異쒕릺뼱 엳뒗 寃껋쑝濡 굹궗떎19. 떊泥댁“꽦 냼諛⑷났臾댁썝쓽 洹쇨낏寃⑷퀎 遺긽 쐞뿕 諛 吏곷Т 닔뻾뿉 쁺뼢쓣 誘몄튂硫4, 옞옱쟻씤 떖삁愿 吏덊솚 諛쒖깮 쐞뿕쓽 利앷 愿젴릺뼱 엳떎. 궓꽦쓽 怨쇱껜以묒쓽 踰붿<씤 泥댁쭏웾吏닔(body mass index, BMI)媛 ≥25.0 kg/m2씪 寃쎌슦, 냼諛⑹쭅臾 닔뻾 以 쐞뿕씠 諛쒖깮븷 솗瑜좎씠 넂 寃껋쑝濡 蹂닿퀬릺뿀떎20. 鍮꾨쭔쓽 냼諛⑷났臾댁썝 嫄닿컯븳 냼諛⑷났臾댁썝뿉 鍮꾪빐 냼諛⑹쭅臾대 70%–80% 鍮꾪슚쑉쟻쑝濡 닔뻾븷 肉 븘땲씪7, 洹쇨낏寃⑷퀎 넀긽씠 5.3諛 뜑 넂떎뒗 뿰援 寃곌낵瑜 蹂댁떎8. 씠윭븳 씠쑀濡 냼諛⑷났臾댁썝쓽 떊泥댁“꽦 냼諛⑹쭅臾대 슚쑉쟻씠怨 븞쟾븯寃 닔뻾븯湲 쐞빐 븘닔쟻쑝濡 愿由щ릺뼱빞 븳떎.

븳援 냼諛⑷났臾댁썝쓽 떊怨 젒닔 諛 쁽옣솢룞 嫄댁닔뒗 留ㅻ뀈 利앷븯怨 엳뒗 異붿꽭씠硫 洹몄뿉 뵲씪 냼諛⑷났臾댁썝쓽 泥대젰 愿由ш 뜑슧 以묒슂빐吏怨 엳떎. 吏궃 2021뀈뿉꽌 2022뀈 궗씠뿉 솕옱 異쒕룞 3,846嫄(10.6%), 援ъ“ 異쒕룞 136,571嫄(12.8%), 援ш툒 異쒕룞 415,764嫄(13.2%)利앷븯떎. 뜑遺덉뼱 2012뀈遺꽣 2022뀈源뚯 븳援냼諛⑷났臾댁썝쓽 닚吏 諛 怨듭긽瑜좊룄 利앷븯怨 엳떎21. 씠윭븳 씠쑀濡 냼諛⑷났臾댁썝쓽 怨듭긽瑜좎쓣 궙異붽린 쐞빐 븳援 냼諛⑷났臾댁썝쓽 泥대젰 닔以뿉 븳 愿떖씠 넂븘吏怨 엳떎. 꽑뻾뿰援ъ뿉 뵲瑜대㈃ 븞쟾븳 냼諛⑹쭅臾 닔뻾쓣 쐞빐 븘슂븳 泥대젰 닔以쑝濡 떖룓吏援щ젰쓣 굹궡뒗 吏몴씤 VO2 max媛 理쒖냼 42 mL/kg/min씠뿬빞 븯硫, 떊泥댁“꽦뿉꽌뒗 BMI 몴以 踰붿쐞瑜 쑀吏븷 寃껋쓣 沅뚭퀬븯떎15,22. 씠瑜 諛뷀깢쑝濡 븳援 궓꽦 냼諛⑷났臾댁썝쓽 泥대젰 닔以쓣 遺꾩꽍븳 뿰援щ 궡렣蹂대㈃, 寃쎈젰씠 10뀈 씠긽씤 냼諛⑷났臾댁썝쓽 VO2 max뒗 빟 42.2 mL/kg/min, BMI뒗 빟 25.1 kg/m2濡 굹궗쑝硫23, 떊엯 냼諛⑷났臾댁썝쓽 VO2 max뒗 빟 45.4 mL/kg/min씠怨 BMI뒗 빟 23.5 kg/m2씤 寃껋쑝濡 굹궗떎24. 븳援 떊엯 諛 寃쎈젰 냼諛⑷났臾댁썝 紐⑤몢 沅뚭퀬릺뒗 닔以쓽 떖룓吏援щ젰쓣 異⑹”븯뒗 寃껋쑝濡 굹궗쑝굹 BMI뒗 怨쇱껜以묒뿉꽌 鍮꾨쭔씤 닔以쑝濡 蹂댁씤떎.

洹몃윭굹 븵꽌 뼵湲됲븳 몢 뿰援щ뒗 냼諛⑷났臾댁썝뱾 以묒뿉꽌 솕옱 吏꾩븬 吏곷Т留뚯쓣 긽쑝濡 議곗궗븳 寃껋씠 븘땲씪 쇅洹 諛 궡洹 벑 떎뼇븳 냼諛⑹쭅臾댁뿉꽌 긽옄瑜 씪愿꾩쟻쑝濡 紐⑥쭛빐 寃곕줎쓣 룄異쒗븯뿬 빐꽍뿉 븳 삤瑜섏쓽 뿬吏媛 엳쓣 닔 엳떎. 삁瑜 뱾뼱, 삁痢 媛뒫븳 삤瑜 以 븯굹뒗 솕옱 吏꾩븬 吏곴뎔쓽 VO2 max媛 궙 諛섎㈃뿉 궡洹 吏곴뎔쓽 VO2 max媛 넂븘 룊洹좎쟻씤 VO2 max媛 긽듅븯뒗 寃쎌슦씠떎. BMI 寃곌낵 뿭떆 쑀궗븳 삤瑜섎 踰뷀뻽쓣 媛뒫꽦씠 엳떎. 洹몃윭誘濡 냼諛⑹쭅臾댁뿉 뵲씪 泥대젰 닔以쓣 遺꾨쪟빐 뿰援ы븯뒗 寃껋씠 븘슂빐 蹂댁씤떎. 삉븳 븳援 냼諛⑷났臾댁썝뱾 泥대젰 닔以쓽 쑀吏 諛 愿由щ 쐞빐 留ㅻ뀈 湲곗큹泥대젰 룊媛瑜 떎떆븯怨 엳쑝硫, 빐떦 룊媛뒗 吏곷Т뿉 愿怨꾩뾾씠 룞씪븳 湲곗쑝濡 룊媛븯뿬 씤궗怨좉낵뿉 諛섏쁺븳떎. 洹몃윭굹 씠윭븳 젒洹쇱 媛 냼諛⑹쭅臾댁쓽 쟻빀븳 泥대젰 슂援 궗빆쓽 湲곗쓣 怨좊젮븯吏 븡븯湲 븣臾몄뿉 鍮꾪슚쑉쟻씤 諛⑸쾿씪 닔 엳떎. 떊엯 냼諛⑷났臾댁썝 梨꾩슜 떆뿉룄 냼諛⑹쭅臾댁뿉 긽愿뾾씠 룞씪븳 湲곗쓽 湲곗큹泥대젰 룊媛媛 吏꾪뻾릺怨 엳뼱 쟻젅븳 닔以쓽 湲곗쓣 꽕젙븷 븘슂꽦씠 엳뼱 蹂댁씤떎. 냼諛⑷났臾댁썝쓽 吏곸뾽쟻 듅꽦긽 떎뼇븳 吏곷Т瑜 닔뻾븯湲 븣臾몄뿉 媛곴컖쓽 냼諛⑹쭅臾댁뿉 쟻빀븳 泥대젰 닔以쓣 쑀吏븯뒗 寃껋씠 슚쑉쟻씠怨 븞쟾븷 寃껋쑝濡 뿬寃⑥쭊떎.

뵲씪꽌 蹂 뿰援щ뒗 븳援 냼諛⑷났臾댁썝뱾쓣 吏곷Т뿉 뵲씪 遺꾨쪟븯뿬 떖룓吏援щ젰 諛 떊泥댁“꽦怨 媛숈 二쇱슂 泥대젰 슂냼媛 쟻젅븳 닔以씤吏瑜 솗씤븯怨좎옄 븳떎. 뜑 굹븘媛 쁽옱 븳援쓽 냼諛⑷났臾댁썝뱾 吏곷Т蹂꾨줈 沅뚯옣릺뒗 泥대젰 닔以쓽 湲곗씠 遺옱븯湲 븣臾몄뿉 蹂 뿰援ъ쓽 寃곌낵瑜 湲곗쓣 留덈젴븯뒗 뜲 湲곗큹 옄猷뚮줈 솢슜븷 닔 엳쓣 寃껋쑝濡 湲곕븳떎.

뿰援 諛⑸쾿

1. 뿰援 긽

뿰援 긽옄뒗 냼諛⑹껌쓽 삊議곕 넻빐 쟾援 냼諛⑹꽌뿉 怨듬Ц쓣 諛쒖넚븯뿬 蹂 뿰援ъ뿉 李몄뿬瑜 씗留앺븯뒗 냼諛⑹꽌뿉꽌 紐⑥쭛븯떎. 뿰援 李몄뿬 씗留 냼諛⑹꽌뒗 꽌슱 吏뿭 몢 怨녠낵 슱궛 吏뿭 몢 怨녹쑝濡 203紐낆쓽 냼諛⑷났臾댁썝씠 紐⑥쭛릺뿀떎. 꽦蹂꾩쓣 援щ텇븯뿬 遺꾩꽍쓣 떎떆븯젮怨 븯쑝굹 203紐 以 뿬꽦 냼諛⑷났臾댁썝씠 24紐낅퓧쑝濡, 吏곷Т蹂꾨줈 遺꾨쪟뻽쓣 븣 솕옱 吏꾩븬 7紐, 援ъ“뒗 7紐, 援ш툒 0紐, 궡洹쇱 10紐낆씠뼱꽌 넻怨 遺꾩꽍쓣 쐞븳 긽옄 닔濡쒕뒗 遺議깊뻽떎. 삉븳 꽦蹂꾩쓽 援щ텇 뾾씠 떖룓吏援щ젰怨 떊泥댁“꽦뿉 빐 뿰援 寃곌낵瑜 젣떆븯湲곗뿉뒗 빐꽍쓽 삤瑜섍 諛쒖깮븷 뿬吏媛 엳뼱 뿬꽦 냼諛⑷났臾댁썝 뿰援щ긽옄뿉꽌 젣쇅븯떎. 異붽濡, 궓꽦 냼諛⑷났臾댁썝쓽 痢≪젙 寃곌낵 以 3媛쒕뒗 痢≪젙 삤瑜섎줈 씤빐 젣쇅릺뿀떎. 理쒖쥌쟻쑝濡 궓꽦 냼諛⑷났臾댁썝 176紐낆쓣 뿰援 긽쑝濡 븯쑝硫, 吏곷Т蹂꾨줈 遺꾨쪟븯쓣 븣 솕옱 吏꾩븬(76紐), 援ъ“(22紐), 援ш툒(51紐), 궡洹(27紐)씠뿀떎. 떖룓吏援щ젰 痢≪젙 씠쟾뿉 떊泥댄솢룞以鍮 꽕臾몄(revision of the physical activity readiness questionnaire)瑜 솢슜븯뿬 떊泥댄솢룞뿉 쐞뿕씠 뾾뒗 긽옄留 泥대젰 룊媛瑜 떎떆븯떎25. 洹몃━怨 긽옄뒗 떎뿕뿉 븳 異⑸텇븳 꽕紐낆쓣 뱽怨 뿰꽭븰援 湲곌깮紐낆쑄由ъ쐞썝쉶 듅씤쓣 諛쏆(No. CR318031) 룞쓽꽌뿉 꽌紐낇븳 썑 뿰援ъ뿉 李몄뿬븯룄濡 븯떎. 긽옄쓽 湲곕낯쟻씤 떊泥댁“꽦 寃궗 寃곌낵뒗 Table 1怨 媛숇떎.

Table 1 . Baseline characteristics of participants

CharacteristicSuppressionRescueEMSAdministrationp-value*Post-hoc (LSD)
Age (yr)41.32±8.5438.73±8.6335.08±5.4639.63±8.02<0.001Suppression>EMS
Height (cm)174.21±5.20173.61±4.42171.88±6.60171.03±6.250.035Suppression>EMS
Suppression>administration
Weight (kg)76.07±8.5975.27±6.7671.73±11.6773.40±9.160.079Suppression>EMS

Values are presented as mean±standard deviation.

EMS: emergency medical services, LSD: least significant difference.

*One-way analysis of variance.



2. 理쒕 슫룞遺븯寃궗

理쒕 슫룞遺븯寃궗뒗 媛뒪 遺꾩꽍湲(Quark CPET, Cosmed) 臾댁꽑 떖諛뺤닔 痢≪젙怨(H10, Polar)瑜 李⑹슜븯怨 듃젅뱶諛(Quinton, Aimcardio)뿉꽌 Bruce protocol쓣 떎떆뻽떎26. 媛뒪 遺꾩꽍湲곕뒗 30遺 룞븞 삁뿴븳 썑 16% 샎빀 媛뒪(high caloric O2 16%, CO2 5%) 떎由곕뜑(3 L)瑜 씠슜븯뿬 蹂댁젙(calibration)븯떎. VO2 max쓽 뙋젙 湲곗 떖諛뺤닔媛 삁痢〓맂 理쒕 떖諛뺤닔쓽 90% 씠긽씠嫄곕굹, 샇씉 援먰솚쑉씠 1.15 씠긽씤 寃쎌슦, 삉뒗 슫룞 遺븯媛 利앷븿뿉룄 VO2쓽 蹂솕媛 뾾뒗 怨좎썝 쁽긽씠 굹굹뒗 寃쎌슦濡 寃곗젙븯떎27. 긽옄뒗 臾댁꽑 떖諛뺤닔 痢≪젙怨꾨 李⑹슜븯怨 듃젅뱶諛뿉꽌 6 km/hr쓽 냽룄濡 1–2遺 룞븞 옣移 쟻쓳 諛 썙諛띿뾽쓣 븳 썑 샇씉湲 留덉뒪겕瑜 李⑹슜븯怨 寃궗瑜 떆옉븯떎. 긽옄쓽 二쇨쟻씤 떊泥댁쟻 遺븯瑜 솗씤븯湲 쐞빐 씤吏맂 슫룞 泥숇룄(rated perceived exertion)瑜 솢슜뻽떎28. 寃궗 醫낅즺 썑, 痢≪젙옄뒗 긽옄쓽 븞젙쟻씤 쉶蹂듭쓣 쐞븯뿬 떖諛뺤닔媛 理쒕 떖諛뺤닔쓽 빟 50%濡 뼥뼱吏 븣源뚯 嫄몄쓣 寃껋쓣 슂泥븯떎.

3. 떊泥댁“꽦

떊泥댁“꽦 寃궗뒗 깮泥댁쟾湲 빆遺꾩꽍(bioelectrical impedance analysis)쓣 솢슜븳 泥댁꽦遺 옄룞 痢≪젙 옣鍮(InBody 720, Biospace Co., Ltd.)瑜 궗슜븯뿬 紐몃Т寃, 洹쇱쑁웾, 泥댁諛⑸웾쓣 痢≪젙븯떎. 긽옄쓽 떊泥댁“꽦 寃궗 쟾뿉 諛곕눊 썑 슫룞蹂듭쑝濡 媛덉븘엯 썑, 넀諛붾떏 몴硫닿낵 諛쒕컮떏 몴硫댁쓽 臾쇨린瑜 젣嫄 썑 痢≪젙쓣 떎떆븯떎. 떊옣 떊옣怨(ds-102, Dong Sahn JENIX)瑜 씠슜븯뿬 痢≪젙븯떎.

4. 옄猷 泥섎━

蹂 뿰援ъ쓽 옄猷뚮뒗 IBM SPSS version 25.0 (IBM Corp.)쓣 씠슜븯뿬 遺꾩꽍븯떎. 냼諛⑹쭅臾대퀎 理쒕 궛냼꽠痍⑤웾 諛 떊泥댁“꽦쓽 李⑥씠瑜 寃利앺븯湲 쐞빐 씪썝遺꾩궛遺꾩꽍(one-way analysis of variance)쓣 떎떆븯怨 냼諛⑹쭅臾대퀎 VO2 max BMI 鍮덈룄쓽 鍮꾩쑉 李⑥씠瑜 븣븘蹂닿린 쐞빐 뵾뼱뒯 移댁씠젣怨 寃젙쓣 떎떆븯쑝硫 紐⑤뱺 쑀쓽 닔以 α=0.05濡 꽕젙븯떎.

寃 怨

븳援 냼諛⑷났臾댁썝쓽 吏곷Т蹂 泥댁꽦遺꾧낵 VO2 max 遺꾩꽍 寃곌낵뒗 Table 2 媛숇떎. VO2 max뒗 援ъ“ 吏곴뎔씠 媛옣 넂븯怨 援ш툒, 궡洹, 솕옱 吏꾩븬쓽 吏곴뎔 닚꽌濡 굹궗쑝硫 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠媛 엳뿀떎. 삉븳 떊泥댁“꽦 以 洹쇱쑁웾 援ъ“ 吏곴뎔씠 媛옣 넂븯怨 궡洹, 솕옱 吏꾩븬, 援ш툒 吏곴뎔 닚꽌濡 굹궗쑝硫 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠媛 엳뿀떎. 洹 씠쇅뿉 BMI 遺꾩꽍 寃곌낵 솕옱 吏꾩븬 諛 궡洹 吏곴뎔 鍮꾨쭔쑝濡 굹궗怨 援ъ“ 諛 援ш툒 吏곴뎔 젙긽 踰붿쐞濡 굹궗쑝굹 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠뒗 뾾뿀떎. 紐⑤뱺 吏곷Т援곗뿉꽌 泥댁諛⑸웾怨 泥댁諛⑸쪧 젙긽 踰붿쐞濡 굹궗쑝硫 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠뒗 뾾뿀떎.

Table 2 . Body composition and VO2 max by job duties for Korean firefighters

VariableSuppressionRescueEMSAdministrationfp-value*Post-hoc (LSD)
VO2 max (mL/kg/min)39.96±5.8444.84±4.8540.51±6.7540.27±7.013.6700.013Rescue>suppression
Rescue>EMS
Rescue>administration
HR max (beats/min)176.71±24.56183.64±13.59181.87±12.42181.52±11.721.2880.280-
BMI (kg/m2)25.07±2.5524.95±1.7124.33±3.2125.10±2.480.8590.464-
Muscle mass (kg)50.53±10.7856.61±5.6949.72±10.7552.34±8.352.6520.050Rescue>suppression
Rescue>EMS
Body fat mass (kg)16.53±5.3215.29±3.6315.93±6.3416.73±4.960.4140.743-
Body fat (%)21.34±4.9220.29±4.2021.67±6.2522.14±5.770.5080.677-

Values are presented as mean±standard deviation.

VO2 max: maximal oxygen consumption, EMS: emergency medical services, LSD: least significant difference, HR max: maximum heart rate, BMI: body mass index.

*One-way analysis of variance.



NFPA 吏移⑥뿉 뵲씪 遺꾨쪟맂 吏곷Т蹂 VO2 max쓽 遺꾪룷뒗 Table 3怨 媛숇떎. 吏곷Т蹂꾨줈 궡렣蹂댁븯쓣 븣, 솕옱 吏꾩븬 35.5%, 援ъ“ 77.3%, 援ш툒 43.1%, 궡洹 40.7%留뚯씠 VO2 max쓽 理쒖냼 湲곗씤 42 mL/kg/min쓣 異⑹”븯떎15.

Table 3 . Distribution of VO2 max among Korean male firefighters based on job duties

Job dutyVO2 max (mL/kg/min)Totalχ2 (p-value)*
≤27.928.0−34.935.0−41.9≥42.0
Suppression1 (1.3)17 (22.4)31 (40.8)27 (35.5)76 (100)15.545 (0.077)
Rescue0 (0)1 (4.5)4 (18.2)17 (77.3)22 (100)
EMS3 (5.9)8 (15.7)18 (35.3)22 (43.1)51 (100)
Administration1 (3.7)5 (18.5)10 (37.0)11 (40.7)27 (100)

Values are presented as number (%).

VO2 max: maximal oxygen consumption, EMS: emergency medical services.

*Pearson chi-square test.



꽭怨꾨낫嫄닿린援ъ쓽 븘떆븘-깭룊뼇 湲곗뿉 뵲씪 遺꾨쪟맂 吏곷Т蹂 BMI쓽 遺꾪룷뒗 Table 4 媛숇떎29. 吏곷Т蹂꾨줈 궡렣蹂댁븯쓣 븣, 紐⑤뱺 吏곷Т뿉꽌 泥댁쨷 굹굹吏 븡븯吏留 솕옱 吏꾩븬쓽 52.6%, 援ъ“쓽 60.0%, 援ш툒쓽 34.0%, 궡洹쇱쓽 50.0%媛 鍮꾨쭔씤 寃껋쑝濡 굹궗떎.

Table 4 . Distribution of BMI among Korean male firefighters based on job duties

Job dutyBMI (kg/m2)Totalχ2 (p-value)*
≤18.518.5−22.923.0−24.9≥25.0
Suppression0 (0)16 (21.1)20 (26.3)40 (52.6)76 (100)10.598 (0.102)
Rescue0 (0)2 (10.0)6 (30.0)12 (60.0)20 (100)
EMS0 (0)17 (36.2)14 (29.8)16 (34.0)47 (100)
Administration0 (0)3 (11.5)10 (38.5)13 (50.0)26 (100)

Values are presented as number (%)

BMI: body mass index, EMS: emergency medical services.

*Pearson chi-square test.


怨 李

냼諛⑷났臾댁썝 떖삁愿 愿젴 吏덊솚 諛 鍮꾨쭔쑝濡 빞湲곕릺뒗 怨듭긽쓽 쐞뿕꽦쓣 궙異붽린 쐞빐 넂 닔以쓽 떖룓뒫젰씠 슂援щ릺硫30, 쟻젅븳 닔以쓽 떊泥댁“꽦쓣 쑀吏븯뒗 寃껋씠 以묒슂븯떎31. 냼諛⑹쭅臾대 슚쑉쟻씠怨 븞쟾븯寃 닔뻾븯湲 쐞븳 떖룓뒫젰怨 떊泥댁“꽦쓽 沅뚭퀬 궗빆뿉 븳 꽑뻾뿰援ъ뿉꽌뒗 二쇰줈 솕옱 吏꾩븬 吏곴뎔쓣 以묒떖쑝濡 泥대젰 닔以쓣 젣떆븯怨 엳떎. 븯吏留 냼諛⑷났臾댁썝 솕옱 吏꾩븬 吏곴뎔 肉먮쭔 븘땲씪, 겕寃뚮뒗 쇅洹쇨낵 궡洹쇱쑝濡 援щ텇릺硫 洹 븞뿉꽌룄 떎뼇븳 듅닔븳 吏곷Т媛 議댁옱븳떎. 씠뿉 蹂 뿰援ъ뿉꽌뒗 븳援 궓꽦 냼諛⑷났臾댁썝쓣 긽쑝濡 吏곷Т蹂꾨줈 떖룓吏援щ젰怨 떊泥댁“꽦쓣 뙆븙븯뿬 슂援щ릺뒗 쟻젅븳 泥대젰 湲곗쓣 젣떆븯湲 쐞븳 湲곗큹 옄猷뚮 젣怨듯븯怨좎옄 븯떎.

VO2 max 寃곌낵瑜 吏곷Т蹂꾨줈 궡렣蹂댁븯쓣 븣, 솕옱 吏꾩븬 吏곴뎔 39.96±5.84 mL/kg/min, 援ъ“ 吏곴뎔 44.84±4.85 mL/kg/min, 援ш툒 吏곴뎔 40.51±6.75 mL/kg/min, 궡洹 吏곴뎔 40.27±7.01 mL/kg/min濡 굹궗쑝硫 넻怨꾩쟻쑝濡 쑀쓽븳 李⑥씠瑜 蹂댁떎. 솕옱 吏꾩븬 吏곴뎔 떎瑜 吏곴뎔蹂대떎 궙 닔以쓽 VO2 max瑜 蹂댁쓣 肉 븘땲씪, 냼諛⑹쭅臾 닔뻾뿉 슂援щ릺뒗 理쒖냼 닔以씤 42 mL/kg/min뿉룄 誘몄튂吏 紐삵븯뒗 寃껋쑝濡 굹궗떎15. 洹 肉먮쭔 븘땲씪 솕옱 吏꾩븬 떆 닔뻾릺뒗 룞옉씤 샇뒪 쟾媛쒗븯湲, 궗떎由 쟾媛쒗븯湲, 吏꾩엯븯湲 벑쓣 셿猷뚰븳 援쇅 냼諛⑷쓽 VO2 max瑜 궡렣蹂대㈃ 쁺援 냼諛⑷(뿰졊, 34.1±7.6꽭) 47.96±5.59 mL/kg/min쑝濡 굹궗怨32, 끂瑜댁썾씠 냼諛⑷(뿰졊, 48±5꽭) 48.7±8.3 mL/kg/min쑝濡 굹궗쑝硫33, 罹먮굹떎 냼諛⑷(뿰졊, 27.5±6.5꽭) 50.6±6.7 mL/kg/min쑝濡 굹궗떎34. 븳援 솕옱 吏꾩븬 吏곴뎔 냼諛⑷났臾댁썝쓽 VO2 max뒗 鍮꾧탳쟻 궙 닔以씤 寃껋쑝濡 蹂댁씤떎. 븯吏留 媛곴컖쓽 吏곷Т援곗쓽 뿰졊쓣 궡렣蹂대㈃ 솕옱 吏꾩븬 吏곴뎔씠 41.32±8.54꽭, 援ъ“ 吏곴뎔 38.73±8.63꽭, 援ш툒 吏곴뎔 35.08±5.46꽭, 궡洹 吏곴뎔 39.63±8.02꽭濡 솕옱 吏꾩븬 吏곴뎔씠 媛옣 넂 寃껋쑝濡 굹궗쑝硫 떖吏뼱 솕옱 吏꾩븬 吏곴뎔怨 援ш툒 吏곴뎔 넻怨꾩쟻쑝濡쒕룄 쑀쓽븳 李⑥씠媛 엳뿀떎. VO2 max뒗 뿰졊쓽 쁺뼢쓣 諛쏅뒗 吏몴씠誘濡 꽑뻾뿰援ъ뿉꽌룄 40꽭瑜 湲곗쑝濡 넻怨꾩쟻 李⑥씠媛 굹궗쑝硫35, 떖吏뼱 냼諛⑷ 吏묐떒뿉꽌룄 40쓽 VO2 max뒗 39.0 mL/kg/min쑝濡 20 諛 30 鍮꾧탳빐 넻怨꾩쟻쑝濡 쑀쓽븯寃 궙 寃곌낵瑜 蹂댁떎36. 솕옱 吏꾩븬 吏곴뎔씠 꽑뻾뿰援ъ뿉꽌 슂援ы븳 VO2 max 湲곗쓣 留뚯”븯吏 紐삵븯뒗 씠쑀 以 븯굹뒗 떎瑜 吏곴뎔蹂대떎 뿰졊媛 넂湲 븣臾몄씤 寃껋쑝濡 蹂댁씤떎. 씠뒗 蹂 뿰援ъ뿉꽌룄 뿰졊怨 VO2 max쓽 뵾뼱뒯 긽愿愿怨 遺꾩꽍쓣 떎떆빐 蹂댁븯쓣 븣, r=0.241濡 궙 닔以씠吏留 쑀쓽븳 遺쟻 긽愿愿怨꾨 蹂댁뿬(p<0.001) 꽑뻾뿰援ъ 쑀궗븳 寃곌낵瑜 뼸뿀쑝硫 솕옱 吏꾩븬 吏곴뎔쓽 궙 VO2 max 닔以쓣 꽕紐낇븯뒗 썝씤 以 븯굹濡 뿰졊쓣 젣떆븷 닔 엳쓣 寃껋씠떎. 寃뚮떎媛 媛 吏곴뎔 궡뿉꽌 沅뚭퀬릺뒗 VO2 max 湲곗쓣 留뚯”븯뒗 鍮꾩쑉쓣 궡렣蹂대㈃ 솕옱 吏꾩븬 吏곴뎔쓽 35.5%, 援ъ“ 吏곴뎔 77.3%, 援ш툒 吏곴뎔 43.1%, 궡洹 吏곴뎔 40.7%媛 42.0 mL/kg/min 씠긽쑝濡 굹궗떎. 솕옱 吏꾩븬 吏곴뎔쓽 VO2 max뒗 룊洹좎쑝濡쒕룄, 鍮꾩쑉濡쒕룄 떎瑜 吏곴뎔뿉 鍮꾪빐 꽑뻾뿰援ъ뿉 젣떆맂 냼諛⑹쭅臾댁뿉 슂援щ릺뒗 VO2 max 닔以쓣 異⑹”븯吏 紐삵븯떎. 鍮꾨줉 솕옱 吏꾩븬 吏곴뎔씠 떎瑜 吏곴뎔蹂대떎 뿰졊씠 넂 寃껋쑝濡 굹궗吏留 븞쟾븯怨 슚쑉쟻씤 솕옱 吏꾩븬쓣 쐞빐꽌뒗 뿰졊뿉 긽愿뾾씠 沅뚭퀬릺뒗 泥대젰 닔以쓣 쑀吏븯湲 쐞븳 끂젰씠 븘슂븷 寃껋쑝濡 蹂댁씤떎. 삉븳 꽑뻾뿰援ъ뿉 뵲瑜대㈃ 援ш툒 吏곴뎔怨 쑀궗븳 吏곴뎔씤 궓옄 媛꾪샇궗뿉寃 吏곷Т 닔뻾뿉 沅뚭퀬릺뒗 VO2 max 6떒怨 遺꾨쪟 鍮꾧탳븯硫 蹂댄넻 젙룄쓽 踰붿쐞씤 36.5–42.4 mL/kg/min쓽 닔以쑝濡 굹굹 援ш툒 吏곴뎔쓽 VO2 max 닔以 鍮꾧탳쟻 쟻젅븳 닔以씤 寃껋쑝濡 蹂댁씤떎37. 삉븳 꽑뻾뿰援ъ뿉꽌 37.7±1.5꽭쓽 궗臾댁쭅 궓꽦뿉 븳 VO2 max 닔以 34.3±2.3 mL/kg/min쑝濡 굹굹38, 蹂 뿰援ъ뿉꽌 39.6±8.0꽭쓽 궡洹 吏곴뎔怨 鍮꾧탳쟻 쑀궗븳 뿰졊쑝濡 쑀궗븳 吏곴뎔怨 VO2 max瑜 鍮꾧탳븯쓣 븣 넂 닔以씤 寃껋쑝濡 蹂댁씤떎. 뵲씪꽌 븳援 궓꽦 냼諛⑷났臾댁썝씠 沅뚭퀬릺뒗 VO2 max 닔以쓣 留뚯”븳떎뒗 꽑뻾뿰援ъ쓽 寃곌낵뒗 떖由, 솕옱 吏꾩븬 吏곴뎔 沅뚭퀬릺뒗 VO2 max 닔以쓣 留뚯”븯吏 紐삵븯뒗 寃껋쑝濡 굹궗떎. 삉븳 援ш툒 諛 궡洹 吏곴뎔 沅뚭퀬릺뒗 VO2 max 닔以쓣 留뚯”븯吏 븡뜑씪룄 吏곷Т瑜 닔뻾븯뒗 뜲 臾대━媛 뾾뒗 寃껋쑝濡 蹂댁씤떎.

BMI 寃궗 寃곌낵瑜 吏곷Т蹂꾨줈 궡렣蹂댁븯쓣 븣, 솕옱 吏꾩븬 吏곴뎔 빟 25.07±2.55 kg/m2, 援ъ“ 吏곴뎔 24.95±1.71 kg/m2, 援ш툒 吏곴뎔 24.33±3.21 kg/m2, 궡洹 吏곴뎔 25.10±2.48 kg/m2쑝濡 솕옱 吏꾩븬 諛 궡洹 吏곴뎔 鍮꾨쭔쑝濡 굹궗쑝硫 援ъ“ 諛 援ш툒 吏곴뎔 怨쇱껜以묒쑝濡 굹궗떎. 援ъ껜쟻쑝濡 吏곷Т蹂 怨쇱껜以묎낵 鍮꾨쭔쓽 遺꾪룷瑜 궡렣蹂대㈃ 솕옱 吏꾩븬쓽 26.3%뒗 怨쇱껜以, 52.6%뒗 鍮꾨쭔씠怨, 援ъ“쓽 30.0%뒗 怨쇱껜以, 60.0%뒗 鍮꾨쭔씠硫, 援ш툒쓽 29.8%뒗 怨쇱껜以, 34.0%뒗 鍮꾨쭔씠怨, 궡洹쇱쓽 38.5%뒗 怨쇱껜以, 50.0%뒗 鍮꾨쭔쑝濡 굹궗떎. 쟾泥댁쟻쑝濡쒕뒗 77.5%媛 怨쇱껜以 샊 鍮꾨쭔씤 寃껋쑝濡 議곗궗릺뼱 紐⑤뱺 吏곴뎔뿉꽌 떊泥댁“꽦뿉 븳 愿由ш 떆湲됲븳 寃껋쑝濡 굹궗떎. 솕옱 吏꾩븬 떆 닔뻾릺뒗 쑀궗븳 룞옉쑝濡 援ъ꽦맂 泥대젰 룊媛씤 냼諛⑹쭅臾 愿젴 泥대젰 룊媛(candidate physical ability test)뿉꽌 泥댁諛 鍮꾩쑉怨 냼諛⑹쭅臾 닔뻾 궗씠뿉 遺쟻 긽愿愿怨꾨 蹂댁씤 꽑뻾뿰援щ 李멸퀬븷 븣39, 泥댁諛 鍮꾩쑉씠 넂 솕옱 吏꾩븬 吏곴뎔 떎瑜 吏곴뎔蹂대떎 냼諛⑹쭅臾댁쓽 썝솢븳 닔뻾씠 뼱젮슦誘濡 떊泥댁“꽦 愿由ъ쓽 븘슂꽦씠 뜑 넂떎怨 븷 닔 엳떎. 삉븳 鍮꾨쭔씪 寃쎌슦(BMI, 25.0–29.9 kg/m2) 젙긽 泥댁쨷씪 븣蹂대떎 洹쇨낏寃⑷퀎 遺긽쓣 엯쓣 媛뒫꽦씠 1.8諛 넂쑝硫, 怨좊룄 鍮꾨쭔씪 寃쎌슦(BMI, ≥30 kg/m2) 遺긽 쐞뿕씠 5.2諛 뜑 넂 寃껋쑝濡 굹궗떎7,40. 씠瑜 洹쇨굅濡 蹂댁븯쓣 븣, 47.9%쓽 븳援 궓꽦 냼諛⑷났臾댁썝 洹쇨낏寃⑷퀎 遺긽 쐞뿕씠 1.8諛 넂嫄곕굹 쑀궗븳 쐞뿕뿉 떎떎瑜 寃껋쑝濡 굹궗떎. 븯吏留 씠윴 쐞뿕꽦 솕옱 쁽옣뿉 吏곸젒 닾엯릺뒗 솕옱 吏꾩븬 諛 援ъ“ 吏곴뎔뿉 二쇰줈 쟻슜맆 寃껋씠떎. 씪諛섏쟻씤 궗臾댁쭅 궓꽦쓽 BMI뿉 븳 꽑뻾뿰援ъ뿉꽌 37.7±1.5꽭쓽 BMI뒗 27.5±0.8 kg/m2쑝濡 굹궗쑝硫41, 24.7±2.5꽭쓽 BMI뒗 24.6±3.8 kg/m2쑝濡 굹궗떎38. 궗臾 吏곴뎔쓽 BMI 닔以뿉 븳 꽑뻾뿰援ъ쓽 寃곌낵瑜 蹂 뿰援ъ쓽 39.63±8.02꽭쓽 궡洹 吏곴뎔怨 鍮꾧탳뻽쓣 븣, 鍮꾧탳쟻 쑀궗븳 닔以쑝濡 蹂댁씤떎. 뵲씪꽌 븳援 궓꽦 냼諛⑷났臾댁썝씠 沅뚭퀬릺뒗 BMI 닔以쓣 쑀吏븯怨 엳떎뒗 꽑뻾뿰援ъ쓽 寃곌낵 떖由, 솕옱 吏꾩븬 吏곴뎔 52.6%쓽 BMI뒗 떎냼 쐞뿕븳 닔以씤 寃껋쑝濡 蹂댁씤떎. 鍮꾧탳쟻 솚寃쎌쟻 쐞뿕쑝濡쒕꽣 끂異쒖씠 쟻 吏곴뎔씠씪룄 BMI뒗 떎뼇븳 吏덈퀝뿉 끂異쒕맆 닔 엳뒗 솗瑜좎쓣 넂씠誘濡 吏곷Т뿉 긽愿뾾씠 쟻젅븳 닔以쑝濡 愿由ы븷 븘슂媛 엳뼱 蹂댁씤떎.

蹂 뿰援ъ쓽 寃곌낵뒗 븳援 냼諛⑷났臾댁썝씠 沅뚭퀬릺뒗 湲곗쓽 떖룓吏援щ젰 諛 떊泥댁“꽦쓣 留뚯”븳떎뒗 꽑뻾뿰援ъ뒗 씪遺 떎瑜 寃곌낵媛 굹궗떎. 꽑뻾뿰援ъ뿉꽌 吏곷Т蹂꾨줈 굹늻뼱 痢≪젙븯吏 븡 삤瑜섎 踰뷀븯湲 븣臾몄씠씪怨 깮媛곷맂떎. 씠윭븳 삤瑜섎 諛붾줈옟븘 痢≪젙븳 寃곌낵瑜 諛뷀깢쑝濡 븳援 냼諛⑷났臾댁썝뿉 븳 吏곷Т蹂 泥대젰 닔以쓽 湲곗쓣 젣떆빐빞 븳떎怨 깮媛곹븳떎. 삉븳 븳援 냼諛⑷났臾댁썝 쁽옱쓽 吏곴뎔뿉 긽愿뾾씠 떎瑜 吏곴뎔뿉꽌 슂援щ릺뒗 옄寃 議곌굔쓣 媛뽰텛硫 蹂몄씤쓽 쓽吏뿉 뵲씪 떎瑜 吏곴뎔쑝濡쒖쓽 蹂寃 떊泥씠 媛뒫븳뜲, 留ㅻ뀈 씪愿꾩쟻쑝濡 떎떆븯뒗 湲곗큹泥대젰 룊媛 寃곌낵媛 씤궗怨좉낵뿉 諛섏쁺릺뼱 蹂寃 떊泥 듅씤쓣 넻븳 吏곴뎔 蹂寃쎌뿉 쁺뼢쓣 誘몄튂怨 엳떎. 씠뒗 吏곷Т닔뻾쓽 궙 슚쑉꽦怨 怨듭긽瑜좎쓽 긽듅쓣 빞湲고븷 닔 엳떎. 뵲씪꽌 蹂 뿰援ъ쓽 寃곌낵媛 냼諛 吏곷Т蹂 쟻젅븳 泥대젰 룊媛瑜 룄엯븯뒗 뜲 湲곗큹옄猷뚮줈 솢슜맂떎硫 蹂대떎 슚쑉쟻씤 泥대젰愿由щ갑븞쓣 젣떆븷 닔 엳쓣 寃껋쑝濡 蹂댁씤떎. 洹몃윭굹 蹂 뿰援ъ뿉꽌뒗 븳援 뿬꽦 냼諛⑷났臾댁썝쓽 닔媛 젅쟻쑝濡 遺議깊빐 븳援 냼諛⑷났臾댁썝 쟾泥댁뿉 씪諛섑솕븯湲곗뿉뒗 臾대━媛 엳떎. 삉븳 BMI瑜 湲곗쑝濡 븳援 냼諛⑷났臾댁썝쓽 怨듭긽瑜좉낵 吏곷Т닔뻾쓽 슚쑉꽦쓣 꽕紐낇븯쑝굹 BMI뒗 洹쇱쑁웾쓣 怨좊젮븯吏 븡 吏몴씠湲 븣臾몄뿉 寃곌낵 빐꽍뿉 빟媛꾩쓽 二쇱쓽媛 븘슂븷 寃껋쑝濡 깮媛곷맂떎.

Conflict of Interest

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

Acknowledgments

蹂 뿰援щ뒗 냼諛⑹껌 옱궃쁽옣 湲닿툒쓳 湲곗닠媛쒕컻궗뾽(20013968)쓽 뿰援щ퉬 吏썝쑝濡 닔뻾릺뿀뒿땲떎.

Author Contributions

Conceptualization: JK, JJP, HJK, WS, CHL, YSA, HJL, DIS. Data curation, Methodology, Resources, Supervision, Validation, Visualization: HJL, DIS. Formal analysis: JK, HJL, DIS. Funding acquisition: JK, MGJ, CBK. Investigation: MGJ, HJL, DIS. Project administration: MGJ, JJP, HJK, WS, CHL, YSA, HJL, DIS. Writing– original draft: HJL, DIS. Writing–review & editing: CBK, JJP, HJK, WS, CHL, YSA, HJL, DIS.

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