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"alcohol abuse"

Original Articles
The Association Between Shift Work and Health Behavior: Findings from the Korean National Health and Nutrition Examination Survey
Myung-Ji Bae, Yun-Mi Song, Jin-Young Shin, Bo-Young Choi, Jung-Hyun Keum, Eun-Ae Lee
Korean J Fam Med 2017;38(2):86-92.   Published online March 22, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.2.86
Background

Shift workers are increasing worldwide, and various negative health effects of shift work have been reported. This study aimed to evaluate the relationship between shift work and health behavior.

Methods

This cross-sectional study included a total of 11,680 Korean adults (6,061 men and 5,619 women) aged ≥20 years old who participated in the Fifth Korean National Health and Nutrition Examination Survey, 2010–2012. Multiple logistic regression analysis was performed to evaluate the association between shift work and health behavior after adjusting for covariates.

Results

In men, shift work was associated with an increased risk of inadequate sleep (odds ratio [OR], 1.18; 95% confidence interval [CI], 1.00 to 1.40) compared to day work. In women, shift work was associated with an increased risk of smoking (OR, 1.73; 95% CI, 1.34 to 2.22) and inadequate sleep (OR, 1.24; 95% CI, 1.05 to 1.47) compared to day work. In an age-stratified subgroup analysis, female shift workers aged ≥50 years old demonstrated an increased risk of smoking (OR, 5.55; 95% CI, 3.60 to 8.55), alcohol consumption (OR, 2.22; 95% CI, 1.53 to 3.23), and inadequate sleep (OR, 1.50; 95% CI, 1.10 to 2.05) compared to female day workers.

Conclusion

Shift work is associated with worse health behavior, and this is most evident in women aged ≥50 years. Targeted strategies to reduce the negative health effects of shift work should be implemented, with consideration of shift workers' demographic characteristics.

Citations

Citations to this article as recorded by  
  • How Does the Weekend Catch-Up Sleep Ratio Affect the Health and Lifestyle of Korean Adults? An Age- and Sex-Matched Study
    In-Whi Hwang, Soo-Ji Hwang, Jun-Hao Shen, Jisu Kim, Jung-Min Lee
    Measurement in Physical Education and Exercise Science.2025; : 1.     CrossRef
  • Impact of shift work and other work-related factors on anti-SARS-CoV-2 spike-protein serum concentrations in healthcare workers after primary mRNA vaccination – a retrospective cohort study
    Gianluca Mauro Menghini, Robert Thurnheer, Christian R. Kahlert, Philipp Kohler, Fabian Grässli, Reto Stocker, Manuel Battegay, Danielle Vuichard-Gysin
    Swiss Medical Weekly.2024; 154(3): 3708.     CrossRef
  • Shift work and non-alcoholic fatty liver disease in young, healthy workers
    Yesung Lee, Woncheol Lee
    Scientific Reports.2024;[Epub]     CrossRef
  • Interventions in the workplace to reduce risk factors for noncommunicable diseases: an umbrella review of systematic reviews of effectiveness
    Heidi Turon, Aaron Bezzina, Hannah Lamont, Courtney Barnes, Melanie Lum, Rebecca K Hodder, Gloria K W Leung, Anna Peeters, Luke Wolfenden, Serene Yoong
    Journal of Occupational Health.2024;[Epub]     CrossRef
  • Exploring the association between melatonin and nicotine dependence (Review)
    Vasiliki Georgakopoulou, Pagona Sklapani, Nikolaos Trakas, Russel Reiter, Demetrios Spandidos
    International Journal of Molecular Medicine.2024;[Epub]     CrossRef
  • Circadian Rhythms Disrupted by Light at Night and Mistimed Food Intake Alter Hormonal Rhythms and Metabolism
    O. Hecmarie Meléndez-Fernández, Jennifer A. Liu, Randy J. Nelson
    International Journal of Molecular Sciences.2023; 24(4): 3392.     CrossRef
  • Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study
    Byeong-Jin Ye
    Healthcare.2023; 11(6): 802.     CrossRef
  • Different levels of circadian (de)synchrony ­– where does it hurt?
    Ankita AS. Galinde, Faheem Al-Mughales, Henrik Oster, Isabel Heyde
    F1000Research.2023; 11: 1323.     CrossRef
  • Comparison of the physical activity levels between shift workers and non-shift workers in a large-scale cross-sectional study in Iran
    Anahita Najafi, Roya Safari-Faramani, Maryam Selk-Ghaffari, Farid Najafi, Mohammad Ghafouri, Mitra Darbandi, Behnaz Mahdaviani, Amin Nakhostin-Ansari
    BMC Public Health.2023;[Epub]     CrossRef
  • Relationship between shift-work and life-style behaviors among emergency department nurses in Jordan
    Rayyan A. Salah, Malakeh Z. Malak, Ayman K. Bani Salameh
    Archives of Environmental & Occupational Health.2022; 77(1): 27.     CrossRef
  • Shiftwork Is Associated with Higher Food Insecurity in U.S. Workers: Findings from a Cross-Sectional Study (NHANES)
    Maximilian Andreas Storz, Gianluca Rizzo, Mauro Lombardo
    International Journal of Environmental Research and Public Health.2022; 19(5): 2847.     CrossRef
  • The Effect of Change of Working Schedule on Health Behaviors: Evidence from the Korea Labor and Income Panel Study (2005–2019)
    Saemi Jung, Seung-Yeon Lee, Wanhyung Lee
    Journal of Clinical Medicine.2022; 11(6): 1725.     CrossRef
  • Cardiovascular risk behavior among industrial workers in the Northeast of Brazil: a cluster analysis
    Sabrina Gomes Ferreira Clark, Ruth Cavalcanti Guilherme, Fabiane Raquel Motter, Fábio Nogueira de Vasconcelos, Pedro Israel Cabral de Lira, Raquel Canuto
    Ciência & Saúde Coletiva.2022; 27(4): 1403.     CrossRef
  • Working Hours and Depressive and Anxiety Symptoms According to Shift Work and Gender
    Yesung Lee, Hwanjin Park
    Journal of Occupational & Environmental Medicine.2022; 64(5): e316.     CrossRef
  • A study on employee experience with shift work
    Renata Skýpalová, Martin Šikýř, Roman Urban
    Economics & Sociology.2022; 15(3): 143.     CrossRef
  • Do depression and its associated factors differ in women daytime and shift workers?: an analysis of the Korea National Health and Nutrition Examination Survey 2018
    Hyun Ju Chae, Mijong Kim
    Korean Journal of Women Health Nursing.2021; 27(2): 113.     CrossRef
  • Shiftwork and Alcohol Consumption: A Systematic Review of the Literature
    Kneginja Richter, Lukas Peter, Andrea Rodenbeck, Hans Günter Weess, Steffi G. Riedel-Heller, Thomas Hillemacher
    European Addiction Research.2021; 27(1): 9.     CrossRef
  • Association between sleep quality and physical activity according to gender and shift work
    Hwanjin Park, Byungseong Suh
    Journal of Sleep Research.2020;[Epub]     CrossRef
  • Association of Work Patterns and Periodontitis Prevalence in Korean Adults Aged 50 Years or Older: A Nationwide Representative Study
    Young Jin Ra, Young Jin Tak, Yun Jin Kim, Sang Yeoup Lee, Jeong Gyu Lee, Yu Hyeon Yi, Young Hye Cho, Hye Rim Hwang, Seung Hun Lee, Eun Ju Park, Young In Lee
    International Journal of Environmental Research and Public Health.2020; 17(11): 4006.     CrossRef
  • Shift work and depressive symptoms: the mediating effect of vitamin D and sleep quality
    Hwanjin Park, Byungsung Suh, Soo-Jin Lee
    Chronobiology International.2019; 36(5): 689.     CrossRef
  • Fixed night workers and failed smoking cessation
    Youn-Mo Cho, Hyoung-Ryoul Kim, Mo-Yeol Kang, Jun-Pyo Myong, Jung Wan Koo
    Journal of Occupational Medicine and Toxicology.2019;[Epub]     CrossRef
  • Factor Analysis of the Insomnia Severity Index and Epworth Sleepiness Scale in Shift Workers
    Hwanjin Park, Soo-Jin Lee
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
  • Does non-standard work mean non-standard health? Exploring links between non-standard work schedules, health behavior, and well-being
    Megan R. Winkler, Susan Mason, Melissa N. Laska, Mary J. Christoph, Dianne Neumark-Sztainer
    SSM - Population Health.2018; 4: 135.     CrossRef
  • Association between rotating night shift work and metabolic syndrome in Korean workers: differences between 8-hour and 12-hour rotating shift work
    Jae-Il OH, Hyeon Woo YIM
    Industrial Health.2018; 56(1): 40.     CrossRef
  • Relationship between shift work schedule and self-reported sleep quality in Chinese employees
    Yifei Ma, Fu Wei, Guanghui Nie, Li’e Zhang, Jian Qin, Suwan Peng, Feng Xiong, Zhiyong Zhang, Xiaobo Yang, Xiaowu Peng, Mingjun Wang, Yunfeng Zou
    Chronobiology International.2018; 35(2): 261.     CrossRef
  • Le syndrome postgarde de nuit chez les médecins urgentistes : caractéristiques et facteurs influençants
    C. Fasula, A. Marchal, H. Krebs, C. Moser, R. Genre-Grandpierre, X. Bobbia, J.-E. de La Coussaye, P.-G. Claret
    Annales françaises de médecine d’urgence.2018; 8(5): 301.     CrossRef
  • Factors Influencing Glycemic Control by gender in Workers with Diabetes Mellitus
    Eun Hee Jang
    The Korean Journal of Rehabilitation Nursing.2018; 21(2): 121.     CrossRef
  • Shift Work and Health Problems
    Jungun Lee
    Korean Journal of Family Medicine.2017; 38(2): 49.     CrossRef
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Alcoholic Beverage Preference and High Risk Drinking.
Tai Woo Yoo, Woo Jin Chung, Sun Mi Lee, Sung Hee Lee
J Korean Acad Fam Med 2003;24(10):912-919.   Published online October 10, 2003
Background
: Most recent studies have suggested that beer is associated with high risk of mortality and morbidity. The purpose of this study was to investigate how beverage types affected high risk drinking for chronic harm.

Methods : We analyzed data from 1997 Korea's Behavioral Risk Factor Surveillance System Survey collected through telephone interview based on the multi-stage stratified random sampling (N=1,045). According to the WHOs guidelines, we categorized alcohol consumption per day into three risk levels for chronic harm and employed logistic regression analyses by adjusting for confounding factors including the number of beverages consumed, smoking, BMI, stress, and subjective health.

Results : Those who preferred soju were almost three to four times as likely to involve medium or high risk as those who preferred beer. In addition, compared to the beer-preferring drinkers, those who preferred spirits had more than five times of possibility in high risk drinking. However, both of those who preferred makkolli or wine and of those who preferred beer were exposed to high risk drinking to a similar degree.

Conclusion : In Korea, preferred types of alcoholic beverage turned out to be very important factor of high risk drinking behavior. Therefore, we need to encourage drinkers to switch high alcohol to low alcohol content beverages.
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