DOI QR코드

DOI QR Code

The Level of Diabetes Management of Agriculture, Forestry, and Fishery Workers

농림어업인의 당뇨병 관리 수준

  • Oh, Gyung-Jae (Department of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University School of Medicine) ;
  • Lee, Young-Hoon (Department of Preventive Medicine & Institute of Wonkwang Medical Science, Wonkwang University School of Medicine)
  • 오경재 (원광대학교 의과대학 예방의학교실 및 원광의과학연구소) ;
  • 이영훈 (원광대학교 의과대학 예방의학교실 및 원광의과학연구소)
  • Received : 2017.06.20
  • Accepted : 2017.09.09
  • Published : 2017.09.29

Abstract

Objectives: The purpose of this study was to compare the diabetic management indicators between agriculture, forestry, and fishery workers (AFF) and other occupational adults (non-AFF) in community-dwelling diabetes. Methods: The study population consisted of 22,127 diabetic population ${\geq}19years$ who participated in the 2015 Community Health Survey. Chi-square test and logistic regression analysis was used to compare the diabetic management indicators between AFF and non-AFF. Socioeconomic characteristics such as age, gender, education level, monthly household income, National Basic Livelihood Security status, and marital status was sequentially adjusted. Results: Among total diabetic population, 3,712 people (16.8%) was AFF and 18,415 people (83.2%) was non-AFF. The fully-adjusted odds ratio [OR] (95% confidence interval [CI]) of current non-medical treatment (0.72, 0.66-0.79), measurement of hemoglobin A1c (0.61, 0.55-0.67), screening for diabetic retinopathy (0.76, 0.70-0.83), screening for diabetic nephropathy (0.75, 0.70-0.81), non-alcoholic or moderate drinking (0.70, 0.64-0.78), nutrition label reading (0.83, 0.71-0.98), low salt preference (0.85, 0.78-0.93), dental examination (0.60, 0.54-0.66), scaling experience (0.84, 0.77-0.93), regular toothbrushing (0.66, 0.58-0.76), and diabetes management education (0.84, 0.77-0.92) was significantly lower in AFF compared to non-AFF. In contrast, the fully-adjusted OR (95% CI) of AFF's low stress level (1.39, 1.26-1.52) and adequate sleep duration (1.22, 1.13-1.32) was significantly higher than non-AFF, which are better indicators of diabetic management in AFF. Conclusions: Overall, the level of diabetes management of AFF was not as good as that of non-AFF. In order to improve the level of diabetes management of AFF, a delicate diabetes intervention strategy considering the occupational characteristics of AFF will be needed.

본 연구는 당뇨병이 있는 지역사회 성인을 대상으로 농림어업인과 비농림어업인으로 구분하여 당뇨병 관리 지표들의 차이를 살펴보았으며, 특히 다양한 사회경제적 특성들을 보정한 이후에도 직업에 따른 유의한 차이가 나타나는지를 평가하였다. 2015년 지역사회건강조사에 참여한 대상자 중, 당뇨병을 진단받은 19세 이상 22,127명을 분석대상으로 하였다. 카이제곱검정과 로지스틱 회귀분석을 이용하여 농림어업인과 비농림어업인 간의 당뇨병 관리 수준을 비교하였다. 성, 연령, 교육 수준, 월평균 가구소득, 국민기초생활수급, 혼인상태의 사회경제적 상태를 순차적으로 보정하여 교차비(odds ratio; OR)와 95% 신뢰구간(confidence interval; CI)을 산출하였다. 연구결과, 당뇨병 대상자 중 농림어업인은 3,712명(16.8%), 비농림어업인은 18,415명(83.2%)이었다. 모든 사회경제적 상태를 보정한 후, 비농림어업인에 비해 농림어업인에서의 교차비(OR, 95% CI)는 당뇨병 비약물요법(0.72, 0.66-0.79), 당화혈색소 측정(0.61, 0.55-0.67), 당뇨병성 안질환 검사(0.76, 0.70-0.83), 당뇨병성 신장질환 검사(0.75, 0.70-0.81), 비음주 또는 적정음주(0.70, 0.64-0.78), 영양표시 독해(0.83, 0.71-0.98), 저염 선호(0.85, 0.78-0.93), 구강검진(0.60, 0.54-0.66), 스케일링(0.84, 0.77-0.93), 정기적 칫솔질(0.66, 0.58-0.76), 당뇨병 관리교육(0.84, 0.77-0.92)이 유의하게 낮았다. 반면, 농림어업인에서의 낮은 스트레스(1.39, 1.26-1.52)와 적정 수면시간(1.22, 1.13-1.32)의 교차비는 비농림어업인에 비해 유의하게 높았다. 전반적으로 농림어업인의 당뇨병 관리 지표들의 수준은 비농림어업인에 비해 양호하지 못하였다. 농림어업인의 당뇨병 관리 수준을 개선하여 합병증을 예방하고 건강관련 삶의 질을 향상시키기 위해서는 농림어업인의 직업적 특성을 고려한 특화된 당뇨병 개입전략이 필요하다.

Keywords

References

  1. Korean Ministry of Health and Welfare. Korea Health Statistics 2015: Korea National Health and Nutrition Examination Survey. Seoul: Korean Ministry of Health and Welfare; 2016. (Korean)
  2. Statistics Korea. Annual report on the cause of death statistics 2015. South Korea. Available at: http://kosis.kr [accessed on 31 May 2017]. (Korean)
  3. Kim TH, Chun KH, Kim HJ, Han SJ, Kim DJ, Kwak J, Kim YS, Woo JT, Park Y, Nam M, Baik SH, Ahn KJ, Lee KW. Direct medical costs for patients with type 2 diabetes and related complications: a prospective cohort study based on the Korean National Diabetes Program. J Korean Med Sci 2012;27(8):876-882. https://doi.org/10.3346/jkms.2012.27.8.876
  4. Alva ML, Gray A, Mihaylova B, Leal J, Holman RR. The impact of diabetes-related complications on healthcare costs: new results from the UKPDS (UKPDS 84). Diabet Med 2015;32(4):459-466. https://doi.org/10.1111/dme.12647
  5. Shin HH, Han MA, Park J, Ryu SY, Choi SW, Park SM, Kim HJ. Quality of life in patients with diabetes mellitus compared with non-diabetic subjects in Korea: The 5th Korea National Health and Nutrition Examination Survey. J Agric Med Community Health 2015;40(1):21-31. (Korean) https://doi.org/10.5393/JAMCH.2015.40.1.021
  6. Ha KH, Kim DJ. Trends in the Diabetes Epidemic in Korea. Endocrinol Metab (Seoul) 2015;30(2):142-146. https://doi.org/10.3803/EnM.2015.30.2.142
  7. Lee WJ, Cha ES, Moon EK. Disease prevalence and mortality among agricultural workers in Korea. J Korean Med Sci 2010;25(Suppl):S112-S118. https://doi.org/10.3346/jkms.2010.25.S.S112
  8. Nagaya T, Yoshida H, Takahashi H, Kawai M. Policemen and firefighters have increased risk for type-2 diabetes mellitus probably due to their large body mass index: a follow-up study in Japanese men. Am J Ind Med 2006;49(1):30-35. https://doi.org/10.1002/ajim.20238
  9. Marcinkiewicz A, Szosland D. Selected risk factors of diabetes mellitus among road transport drivers. Int J Occup Med Environ Health 2010;23(2):175-180. https://doi.org/10.2478/v10001-010-0018-3
  10. Thelin A, Holmberg S. Type 2 diabetes among farmers and rural and urban referents: cumulative incidence over 20 years and risk factors in a prospective cohort study. Asia Pac J Clin Nutr 2014;23(2):301-308.
  11. Bragg F, Holmes MV, Iona A, Guo Y, Du H, Chen Y, Bian Z, Yang L, Herrington W, Bennett D, Turnbull I, Liu Y, Feng S, Chen J, Clarke R, Collins R, Peto R, Li L, Chen Z. Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China. JAMA 2017;317(3):280-289. https://doi.org/10.1001/jama.2016.19720
  12. Statistics Korea, Final Results of the 2015 Census of Agriculture, Forestry and Fisheries. http://kostat.go.kr [accessed on 1 Jun 2017]
  13. Dinesh Shah A, Langenberg C, Rapsomaniki E, Denaxas S, Pujades-Rodriguez M, Gale CP, Deanfield J, Smeeth L, Timmis A, Hemingway H. Type 2 diabetes and incidence of a wide range of cardiovascular diseases: a cohort study in 1.9 million people. Lancet 2015;385(Suppl 1):S86. https://doi.org/10.1016/S0140-6736(15)60401-9
  14. Dailey G. Early and intensive therapy for management of hyperglycemia and cardiovascular risk factors in patients with type 2 diabetes. Clin Ther 2011;33(6):665-678. https://doi.org/10.1016/j.clinthera.2011.04.025
  15. Zoungas S, Arima H, Gerstein HC, Holman RR, Woodward M, Reaven P, Hayward RA, Craven T, Coleman RL, Chalmers J Effects of intensive glucose control on microvascular outcomes in patients with type 2 diabetes: a meta-analysis of individual participant data from randomised controlled trials. Lancet Diabetes Endocrinol 2017;5(6):431-437. https://doi.org/10.1016/S2213-8587(17)30104-3
  16. Fox CS, Golden SH, Anderson C, Bray GA, Burke LE, de Boer IH, Deedwania P, Eckel RH, Ershow AG, Fradkin J, Inzucchi SE, Kosiborod M, Nelson RG, Patel MJ, Pignone M, Quinn L, Schauer PR, Selvin E, Vafiadis DK; American Heart Association Diabetes Committee of the Council on Lifestyle and Cardiometabolic Health, Council on Clinical Cardiology, Council on Cardiovascular and Stroke Nursing, Council on Cardiovascular Surgery and Anesthesia, Council on Quality of Care and Outcomes Research, and the American Diabetes Association. Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence: A Scientific Statement From the American Heart Association and the American Diabetes Association. Circulation 2015;132(8):691-718. https://doi.org/10.1161/CIR.0000000000000230
  17. American Diabetes Association Cardiovascular disease and risk management. Sec. 8. In Standards of Medical Care in Diabetes 2016. Diabetes Care 2016;39(Suppl 1):S60-S71. https://doi.org/10.2337/dc16-S011
  18. Kim MK, Han JI, Chung YJ. Dietary behavior related to salty food intake of adults living in a rural area according to saline sensitivity. Korean J Nutr 2011;44(6): 537-550. https://doi.org/10.4163/kjn.2011.44.6.537
  19. Blomster JI, Chow CK, Zoungas S, Woodward M, Patel A, Poulter NR, Marre M, Harrap S, Chalmers J, Hillis GS. The influence of physical activity on vascular complications and mortality in patients with type 2 diabetes mellitus. Diabetes Obes Metab 2013;15(11):1008-1012. https://doi.org/10.1111/dom.12122
  20. Hayward RA, Reaven PD, Wiitala WL, Bahn GD, Reda DJ, Ge L, McCarren M, Duckworth WC, Emanuele NV. Follow-up of glycemic control and cardiovascular outcomes in type 2 diabetes. N Engl J Med 2015;372(23):2197-2206. https://doi.org/10.1056/NEJMoa1414266
  21. Liew G, Michaelides M, Bunce C. A comparison of the causes of blindness certifications in England and Wales in working age adults (16-64 years), 1999-2000 with 2009-2010. BMJ Open 2014;4(2):e004015. https://doi.org/10.1136/bmjopen-2013-004015
  22. Kowalski A,Krikorian A,Lerma EV.Diabetic nephropathy for the primary care provider: new understandings on early detection and treatment. Ochsner J 2014;14(3):369-379.
  23. Kanjee R, Dookeran RI, Mathen MK, Stockl FA, Leicht R. Six-year prevalence and incidence of diabetic retinopathy and cost-effectiveness of tele-ophthalmology in Manitoba. Can J Ophthalmol 2016;51(6):467-470. https://doi.org/10.1016/j.jcjo.2016.05.002
  24. Skaggs JB, Zhang X, Olson DJ, Garg S, Davis RM. Screening for Diabetic Retinopathy: Strategies for Improving Patient Follow-up. N C Med J 2017;78(2):121-123.
  25. Pan A, Wang Y, Talaei M, Hu FB. Relation of Smoking With Total Mortality and Cardiovascular Events Among Patients With Diabetes Mellitus: A Meta-Analysis and Systematic Review. Circulation 2015;132(19):1795-1804. https://doi.org/10.1161/CIRCULATIONAHA.115.017926
  26. Blomster JI, Zoungas S, Chalmers J, Li Q, Chow CK, Woodward M, Mancia G, Poulter N, Williams B, Harrap S, Neal B, Patel A, Hillis GS. The relationship between alcohol consumption and vascular complications and mortality in individuals with type 2 diabetes. Diabetes Care 2014;37(5):1353-1359. https://doi.org/10.2337/dc13-2727
  27. Hackett RA, Steptoe A. Type 2 diabetes mellitus and psychological stress - a modifiable risk factor. Nat Rev Endocrinol 2017. doi: 10.1038/nrendo.2017.64. [Epub ahead of print]
  28. Faulenbach M, Uthoff H, Schwegler K, Spinas GA, Schmid C, Wiesli P. Effect of psychological stress on glucose control in patients with Type 2 diabetes. Diabet Med 2012;29(1):128-131. https://doi.org/10.1111/j.1464-5491.2011.03431.x
  29. Han GH, Kim JH, Kang HW. Ecological characteristics of communities, social interactions and quality of life of the elderly in rural area. Journal of Rural Sociology 2005;15(2):85-131. (Korean)
  30. Choi YH, Shin YH. A study of the health status of elderly residing in large city, medium and small city, rural areas in Korea. J Korean Acad Nurs 1991;21(3): 365-382. (Korean)
  31. Tsai YW1, Kann NH, Tung TH, Chao YJ, Lin CJ, Chang KC, Chang SS, Chen JY. Impact of subjective sleep quality on glycemic control in type 2 diabetes mellitus. Fam Pract 2012;29(1):30-35. https://doi.org/10.1093/fampra/cmr041
  32. Lou P, Qin Y, Zhang P, Chen P, Zhang L, Chang G, Li T, Qiao C, Zhang N. Association of sleep quality and quality of life in type 2 diabetes mellitus: a cross-sectional study in China. Diabetes Res Clin Pract 2015;107(1):69-76. https://doi.org/10.1016/j.diabres.2014.09.060
  33. Hamasaki H, Katsuyama H, Sako A, Yanai H. Short sleep duration is associated with B-type natriuretic peptide levels and predicts the death of Japanese patients with type 2 diabetes. Sleep Med 2017;36:1-5.
  34. Choi JW, Kim DH, Kim JY. Sleeping environment of Korean - focused on indoor condition and sleeping habits. J Korean Soc Living Environ Sys 2008;15(1):85-91. (Korean)
  35. Won JH, Ha MN. An association of periodontitis and diabetes. J Dent Hyg Sci 2014;14(2):107-113. (Korean)
  36. Khader YS, Dauod AS, El-Qaderi SS, Alkafajei A, Batayha WQ. Periodontal status of diabetics compared with nondiabetics: a meta-analysis. J Diabetes Complications 2006;20(1):59-68. https://doi.org/10.1016/j.jdiacomp.2005.05.006
  37. Casanova L, Hughes FJ, Preshaw PM. Diabetes and periodontal disease: a two-way relationship. Br Dent J 2014;217(8):433-437. https://doi.org/10.1038/sj.bdj.2014.907
  38. Simpson TC, Weldon JC, Worthington HV, Needleman I, Wild SH, Moles DR, Stevenson B, Furness S, Iheozor-Ejiofor Z. Treatment of periodontal disease for glycaemic control in people with diabetes mellitus. Cochrane Database Syst Rev 2015;(11):CD004714.
  39. Steinsbekk A1, Rygg LO, Lisulo M, Rise MB, Fretheim A. Group based diabetes self-management education compared to routine treatment for people with type 2 diabetes mellitus. A systematic review with meta-analysis. BMC Health Serv Res 2012;12:213. https://doi.org/10.1186/1472-6963-12-213
  40. Shin SA, Kim H, Lee K, Lin V, Liu G, Shin E. Effects of diabetic case management on knowledge, self-management abilities, health behaviors, and health service utilization for diabetes in Korea. Yonsei Med J 2015;56(1):244-252. https://doi.org/10.3349/ymj.2015.56.1.244
  41. Hong MK, Cho YY, Rha MY, Kim JH, Lee MK. Six-month Outcomes of Mobile Phone Application-based Self-management in a Patient with Type 2 Diabetes. Clin Nutr Res 2015;4(3):201-207. https://doi.org/10.7762/cnr.2015.4.3.201