Browse > Article
http://dx.doi.org/10.4162/nrp.2019.13.5.444

Analysis of the association between health-related and work-related factors among workers and metabolic syndrome using data from the Korean National Health and Nutrition Examination Survey (2016)  

Kim, Kyoung Yun (Department of Food and Nutrition, Chonnam National University)
Yun, Jung-Mi (Department of Food and Nutrition, Chonnam National University)
Publication Information
Nutrition Research and Practice / v.13, no.5, 2019 , pp. 444-451 More about this Journal
Abstract
BACKGROUND/OBJECTIVE: This study analyzed health-related factors for metabolic syndrome (Mets) among workers in South Korea. SUBJECTS/METHODS: This analysis included 4,666 adults aged 19-64 years to analyzed health-related risk factors for Mets from the Korean National Health and Nutrition Examination Survey (2016). The sociodemographic, working, health-related, and biochemical characteristics were presented as percentages (%) by chi-square tests. Multiple logistic regression analysis was performed to analyze the 95% confidence intervals (CIs) and associations between health-related factors characteristic of workers and the odds ratios of Mets. RESULTS: An increased prevalence of Mets was associated with male day workers compared to male shift workers (1.726-fold increase, 95% CI: 1.077-2.765), and with ${\geq}8hrs/day$ sleep duration compared to < 6 hrs/day sleep duration in female workers (2.133-fold, 95% CI: 1.041-4.368). In addition, reduced odds of high Mets were associated with male workers consumed of breakfast 5-7 times/wk compared to those consumed < 1 time/wk (0.593-fold decrease, 95% CI: 0.372-0.944). CONCLUSIONS: Health-related factors (sleep duration, frequency of breakfast) and working type in Korean workers may affect the prevalence of Mets.
Keywords
Korean; metabolic syndrome; working type and health-related factors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA. Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute scientific statement. Crit Pathw Cardiol 2005;4:198-203.   DOI
2 Scuteri A, Laurent S, Cucca F, Cockcroft J, Cunha PG, Manas LR, Mattace Raso FU, Muiesan ML, Ryliskyte L, Rietzschel E, Strait J, Vlachopoulos C, Volzke H, Lakatta EG, Nilsson PM; Metabolic Syndrome and Arteries Research (MARE) Consortium. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol 2015;22:486-91.   DOI
3 Xiao J, Huang JP, Xu GF, Chen DX, Wu GY, Zhang M, Shen Y, Cai H. Association of alcohol consumption and components of metabolic syndrome among people in rural China. Nutr Metab (Lond) 2015;12:5.   DOI
4 Huh JH, Kang DR, Jang JY, Shin JH, Kim JY, Choi S, Cho EJ, Park JS, Sohn IS, Jo SH, Sung KC, Koh KK. Metabolic syndrome epidemic among Korean adults: Korean survey of Cardiometabolic Syndrome (2018). Atherosclerosis 2018;277:47-52.   DOI
5 Oh JD, Lee SY, Lee JG, Kim YJ, Cho BM. Health behavior and metabolic syndrome. Korean J Fam Med 2009;30:120-8.   DOI
6 Wang Q, Chair SY, Wong EM. The effects of a lifestyle intervention program on physical outcomes, depression, and quality of life in adults with metabolic syndrome: a randomized clinical trial. Int J Cardiol 2017;230:461-7.   DOI
7 Chung SJ, Lee Y, Lee S, Choi K. Breakfast skipping and breakfast type are associated with daily nutrient intakes and metabolic syndrome in Korean adults. Nutr Res Pract 2015;9:288-95.   DOI
8 Mekary RA, Giovannucci E, Cahill L, Willett WC, van Dam RM, Hu FB. Eating patterns and type 2 diabetes risk in older women: breakfast consumption and eating frequency. Am J Clin Nutr 2013;98:436-43.   DOI
9 Ministry of Health and Welfare, Korea Centers for Disease Control and Prevention. Korea Health Statistics 2016: Korea National Health and Nutrition Examination Survey (KNHANES VII). Cheongwon; Korea Centers for Disease Control and Prevention; 2017.
10 Uemura M, Yatsuya H, Hilawe EH, Li Y, Wang C, Chiang C, Otsuka R, Toyoshima H, Tamakoshi K, Aoyama A. Breakfast skipping is positively associated with incidence of type 2 diabetes mellitus: evidence from the Aichi workers' cohort study. J Epidemiol 2015;25:351-8.   DOI
11 Bae YJ. Evaluation of dietary intake in Korean adults according to energy intake from eating-out: based on 2013-2014 Korea National Health and Nutrition Examination Survey. J Nutr Health 2016;49:482-94.   DOI
12 Tsukinoki R, Morimoto K, Nakayama K. Association between lifestyle factors and plasma adiponectin levels in Japanese men. Lipids Health Dis 2005;4:27.   DOI
13 Lee SR. A Study on the Relationship between Working Hours, Health and Productivity of Workers. Sejong: Korea Labor Institute; 2015.
14 Wang F, Zhang L, Zhang Y, Zhang B, He Y, Xie S, Li M, Miao X, Chan EY, Tang JL, Wong MC, Li Z, Yu IT, Tse LA. Meta-analysis on night shift work and risk of metabolic syndrome. Obes Rev 2014;15:709-20.   DOI
15 Cheserek MJ, Wu GR, Shen LY, Shi YH, Le GW. Disparities in the prevalence of metabolic syndrome (MS) and its components among university employees by age, gender and occupation. J Clin Diagn Res 2014;8:65-9.   DOI
16 Bannai A, Tamakoshi A. The association between long working hours and health: a systematic review of epidemiological evidence. Scand J Work Environ Health 2014;40:5-18.   DOI
17 Kim CE, Shin S, Lee HW, Lim J, Lee JK, Shin A, Kang D. Association between sleep duration and metabolic syndrome: a cross-sectional study. BMC Public Health 2018;18:720.   DOI
18 Kim K, Shin D, Jung GU, Lee D, Park SM. Association between sleep duration, fat mass, lean mass and obesity in Korean adults: the fourth and fifth Korea National Health and Nutrition Examination Surveys. J Sleep Res 2017;26:453-60.   DOI
19 Molzof HE, Wirth MD, Burch JB, Shivappa N, Hebert JR, Johnson RL, Gamble KL. The impact of meal timing on cardiometabolic syndrome indicators in shift workers. Chronobiol Int 2017;34:337-48.   DOI
20 Yu J. Relationship between long working hours and metabolic syndrome among Korean workers. Asian Nurs Res 2017;11:36-41.   DOI
21 Akintunde AA, Oloyede TW. Metabolic syndrome and occupation: any association? Prevalence among auto technicians and school teachers in South West Nigeria. Diabetes Metab Syndr 2017;11 Suppl 1:S223-7.   DOI
22 Stefani KM, Kim HC, Kim J, Oh K, Suh I. The influence of sex and age on the relationship between sleep duration and metabolic syndrome in Korean adults. Diabetes Res Clin Pract 2013;102:250-9.   DOI
23 Hanley AJ, Karter AJ, Williams K, Festa A, D'Agostino RB Jr, Wagenknecht LE, Haffner SM. Prediction of type 2 diabetes mellitus with alternative definitions of the metabolic syndrome: the insulin resistance atherosclerosis Study. Circulation 2005;112:3713-21.   DOI
24 Itani O, Jike M, Watanabe N, Kaneita Y. Short sleep duration and health outcomes: a systematic review, meta-analysis, and metaregression. Sleep Med 2017;32:246-56.   DOI
25 Lee S, Park HS, Kim SM, Kwon HS, Kim DY, Kim DJ, Cho GJ, Han JH, Kim SR, Park CY, Oh SJ, Lee CB, Kim KS, Oh SW, Kim YS, Choi WH, Yoo HJ. Cut-off points of waist circumference for defining abdominal obesity in the Korean population. Korean J Obes 2006;15:1-9.
26 Hwang WJ, Lee CY. Effect of psychosocial factors on metabolic syndrome in male and female blue-collar workers. Jpn J Nurs Sci 2014;11:23-34.   DOI
27 Ryu H, Chin DL. Factors associated with metabolic syndrome among Korean office workers. Arch Environ Occup Health 2017;72:249-57.   DOI