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"Occupations"

Original Articles
Background

To investigate the impact of indicators of occupational class on healthcare utilization by using longitudinal data from a nationally representative survey.

Methods

Data were obtained from the Korean Welfare Panel Study conducted from 2006 (wave 1) through 2014 (wave 9). A total of 5,104 individuals were selected at baseline (2006). Analysis of variance and longitudinal data analysis were used to evaluate the following dependent variables: number of outpatient visits and number of days spent in the hospital per year.

Results

The number of annual outpatient visits was 4.298 days higher (P<0.0001) in class IV, 0.438 days higher (P=0.027) in class III, and 0.335 days higher (P=0.035) in class II than in class I. The number of days spent in the hospital per year was 0.610 days higher (P=0.001) in class IV, 0.547 days higher (P<0.0001) in class III, and 0.115 days higher (P=0.136) in class III than in class I. In addition, the number of days spent in the hospital in class IV patients with unmet healthcare needs showed an opposite trend to that predicted on the basis of socioeconomic status (estimate,−8.524; P-value=0.015).

Conclusion

Patients whose jobs involved manual or physical labor were significantly associated with higher healthcare utilization. Thus, the results suggest that healthcare utilization in different occupational classes should be improved by monitoring work environments and promoting health-enhancing behaviors.

Citations

Citations to this article as recorded by  
  • Health for All? A Study on Equity in Health Services Utilization in Turkey
    Janberk Okan, Hasan Karaduman
    Uluslararası Ekonomi Siyaset İnsan ve Toplum Bilimleri Dergisi.2025; 8(5): 494.     CrossRef
  • The relationship between unmet medical needs awareness and health care utilization in Korean adults with social activity restriction: a secondary analysis study using propensity score matching
    Jeong Min Yang, Jae Hyun Kim
    Journal of Health Research.2023;[Epub]     CrossRef
  • Health-Seeking Behavior and Its Determinants among Mine Workers in the Karauli District of Rajasthan in India
    Absar Ahmad
    Dubai Medical Journal.2019; 2(1): 7.     CrossRef
  • 5,783 View
  • 28 Download
  • 2 Web of Science
  • 3 Crossref
Shift Work Is Associated with Metabolic Syndrome in Young Female Korean Workers
Kyoung Hwa Yu, Yu Hyeon Yi, Yun Jin Kim, Byung Mann Cho, Sang Yeoup Lee, Jeong Gyu Lee, Dong Wook Jeong, So Yeon Ji
Korean J Fam Med 2017;38(2):51-56.   Published online March 22, 2017
DOI: https://doi.org/10.4082/kjfm.2017.38.2.51
Background

Shift work is associated with health problems, including metabolic syndrome. This study investigated the association between shift work and metabolic syndrome in young workers.

Methods

A total of 3,317 subjects aged 20–40 years enrolled in the 2011–2012 Korean National Health and Nutrition Examination Survey were divided into shift and day workers. We conducted a cross-sectional study and calculated odds ratios using multivariate logistic regression analysis in order to examine the association between shift work and metabolic syndrome.

Results

The prevalence of metabolic syndrome was 14.3% and 7.1% among male and female shift workers, respectively. After adjusting for confounding factors, shift work was associated with metabolic syndrome in female workers (odds ratio, 2.53; 95% confidence interval, 1.12 to 5.70).

Conclusion

Shift work was associated with metabolic syndrome in young women. Timely efforts are necessary to manage metabolic syndrome in the workplace.

Citations

Citations to this article as recorded by  
  • Association between circadian rhythm-disturbing factors and metabolic syndrome in Korean adults: Korea National Health and Nutrition Examination Survey (2016–2020)
    Sujin Lee, Junhee Park, Hyunjin Cho, Jun Hyun Yoo
    Korean Journal of Family Medicine.2025; 46(3): 162.     CrossRef
  • Cumulative circadian disruption factors and metabolic syndrome
    Jungun Lee
    Korean Journal of Family Medicine.2025; 46(3): 125.     CrossRef
  • Association between metabolic risk, oxidative stress and psychological parameters amongst sample of nurses working in Doha, Qatar
    Kirti S. Prabhu, Ummu Habeeba, Mohammad Usman Asad Rahman, Maria Salvador Perez, Salam AlMoghrabi Ramirez, Bilal Uddin Khan, Shilpa Kuttikrishnan, John Paul Ben Tabar Silang, Noora Ahmed Kh A. Al Kaabi, Abdul Quaiyoom Khan, Afsheen Raza, Mohamed Izham Moh
    Clinical Epidemiology and Global Health.2025; 34: 102088.     CrossRef
  • Night-shift work and its association with metabolic syndrome
    Shih-Chieh Lin, Wei-Chung Yeh, Zhu-Xuan Liu, Hui-Fang Hsu, Jau-Yuan Chen
    Medicine.2025; 104(31): e43598.     CrossRef
  • AGE, HEAT STRESS, AND SHIFT WORK AS DETERMINANTS OF METABOLIC SYNDROME IN INDUSTRIAL WORKERS: A CROSS-SECTIONAL STUDY
    S. MOHAMMADI, Y. LABBAFINEJAD, E.I. BAGHERI, M. ALAEI JANAT-MAKAN, M. AKBARI, M. CHINICHIAN, N. KASSIRI
    AVICENNA BULLETIN.2025; 27(3): 593.     CrossRef
  • Association between shift work and insulin resistance in women: Implications for metabolic health
    You-Jung Choi, Soo Hyeon Cho, Ja-Ho Leigh, Sung Hoon Jeong, Shaonong Dang
    PLOS One.2025; 20(11): e0337057.     CrossRef
  • IMPACT OF SHIFT WORK ON CIRCADIAN RHYTHM AND THE RISK OF CHRONIC DISEASES
    Katarzyna Karaś, Dawid Nowicki, Małgorzata Muszyńska, Julia Surowaniec, Sylwia Mroszczyk
    International Journal of Innovative Technologies in Social Science.2025;[Epub]     CrossRef
  • Multimorbidity and its Associated Factors in Korean Shift Workers: Population-Based Cross-Sectional Study
    Hye Chong Hong, Young Man Kim
    JMIR Public Health and Surveillance.2024; 10: e55014.     CrossRef
  • Association between Sleep Duration, Social Jetlag, and the Metabolic Syndrome by Shift Works
    Minjung Kyung, Sungwon Park, Chang Gi Park, OiSaeng Hong
    International Journal of Environmental Research and Public Health.2024; 21(6): 668.     CrossRef
  • Association between Shift Work and Metabolic Syndrome: A 4-Year Retrospective Cohort Study
    Byeong-Jin Ye
    Healthcare.2023; 11(6): 802.     CrossRef
  • Sexual dimorphism in the response to chronic circadian misalignment on a high-fat diet
    Seán T. Anderson, Hu Meng, Thomas G. Brooks, Soon Yew Tang, Ronan Lordan, Arjun Sengupta, Soumyashant Nayak, Antonijo Mřela, Dimitra Sarantopoulou, Nicholas F. Lahens, Aalim Weljie, Gregory R. Grant, Frederic D. Bushman, Garret A. FitzGerald
    Science Translational Medicine.2023;[Epub]     CrossRef
  • Relationship between rotating shift work and white blood cell count, white blood cell differential count, obesity, and metabolic syndrome of nurses
    Wen-Pei Chang, Yen-Kuang Lin
    Chronobiology International.2022; 39(2): 159.     CrossRef
  • Metabolic syndrome and its relationship with shift work in petrochemical workers
    Payam Rashnuodi, Davood Afshari, Gholam Abbas Shirali, Arman Amiri, Marziye Raesi Zadeh, Ali Sahraneshin Samani
    Work.2022; 71(4): 1175.     CrossRef
  • The association between long-term night shift work and metabolic syndrome: a cross-sectional study of male railway workers in southwest China
    Chaohui Dong, Honglian Zeng, Bo Yang, Yi Zhang, Zhitao Li
    BMC Cardiovascular Disorders.2022;[Epub]     CrossRef
  • A systematic review and meta-analysis of the association between shift work and metabolic syndrome: The roles of sleep, gender, and type of shift work
    Masoud Khosravipour, Payam Khanlari, Sepideh Khazaie, Hadis Khosravipour, Habibolah Khazaie
    Sleep Medicine Reviews.2021; 57: 101427.     CrossRef
  • Association between shift work or long working hours with metabolic syndrome: a systematic review and dose–response meta-analysis of observational studies
    Yihui Wang, Li Yu, Yinyan Gao, Lili Jiang, Lin Yuan, Pengju Wang, Yanwen Cao, Xuping Song, Long Ge, Guowu Ding
    Chronobiology International.2021; 38(3): 318.     CrossRef
  • Association between shift work and risk of metabolic syndrome: A systematic review and meta-analysis
    Xingjin Yang, Wencheng Di, Yunhong Zeng, Dechen Liu, Minghui Han, Ranran Qie, Shengbing Huang, Yang Zhao, Yifei Feng, Dongsheng Hu, Liang Sun
    Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(10): 2792.     CrossRef
  • Association between metabolic syndrome and shift work in chemical plant workers
    Seong-Ryol Chai, Soon-Chan Kwon, Yong-Jin Lee, Eun-Chul Jang, Young-Sun Min, Su-yeon Lee
    Annals of Occupational and Environmental Medicine.2021;[Epub]     CrossRef
  • Is Shift Work Sleep Disorder a Risk Factor for Metabolic Syndrome and Its Components? A Systematic Review of Cross-Sectional Studies
    Arpita Shah, Arifa Turkistani, Kanita Luenam, Sayma Yaqub, Patricia Ananias, Arunima Mariya Jose, Joao Pedro Melo, Lubna Mohammed
    Metabolic Syndrome and Related Disorders.2021;[Epub]     CrossRef
  • Metabolic syndrome: Association between prevalence and risk at worksites
    Michiru Kakinuma, Hiroo Ide, Kyoko Nakao, Daisuke Ichikawa, Ryozo Nagai, Yuji Furui
    Archives of Environmental & Occupational Health.2020; 75(4): 226.     CrossRef
  • Association between Dietary Habits, Shift Work, and the Metabolic Syndrome: The Korea Nurses’ Health Study
    Heeja Jung, Hyunju Dan, Yanghee Pang, Bohye Kim, Hyunseon Jeong, Jung Eun Lee, Oksoo Kim
    International Journal of Environmental Research and Public Health.2020; 17(20): 7697.     CrossRef
  • Shift work and metabolic syndrome: A multi‑center cross‑sectional study on females of reproductive age
    Maryam Nikpour, Aram Tirgar, Mahmod Hajiahmadi, Akram Hosseini, Behzad Heidari, Fatemeh Ghaffari, Abbas Ebadi, Fatemh Nasiri, Mojgan Firouzbakht
    Biomedical Reports.2019;[Epub]     CrossRef
  • Association between Metabolic Syndrome and Job Rank
    Ramin Mehrdad, Gholamreza Pouryaghoub, Mahboubeh Moradi
    The International Journal of Occupational and Environmental Medicine.2018; 9(1): 45.     CrossRef
  • The Relationship between Workplace Environment and Metabolic Syndrome
    Hwee-Soo Jeong
    The International Journal of Occupational and Environmental Medicine.2018; 9(4): 176.     CrossRef
  • Circadian and Metabolic Effects of Light: Implications in Weight Homeostasis and Health
    Santiago A. Plano, Leandro P. Casiraghi, Paula García Moro, Natalia Paladino, Diego A. Golombek, Juan J. Chiesa
    Frontiers in Neurology.2017;[Epub]     CrossRef
  • Shift Work and Health Problems
    Jungun Lee
    Korean Journal of Family Medicine.2017; 38(2): 49.     CrossRef
  • 8,907 View
  • 82 Download
  • 25 Web of Science
  • 26 Crossref
Background

We investigated the association between socioeconomic status (SES) and cancer screening in a Korean population aged 40 years or older.

Methods

This cross-sectional study included 12,303 participants (5,284 men and 7,019 women) who participated in the 2010–2012 Korean National Health and Nutrition Examination Survey. Self-reported questionnaires were used to assess participant's SES (household income, occupational, and educational status) and cancer screening behavior.

Results

Compared to the lowest household income group, the odds ratios (ORs) (95% confidence intervals [CIs]) for overall cancer screening of the highest income group were 2.113 (1.606–2.781) in men and 1.476 (1.157–1.883) in women; those for private cancer screening of the highest income group were 2.446 (1.800–3.324) in men and 2.630 (2.050–3.373) in women, while those for National Cancer Screening Programs (NCSP) in the highest income group were 1.076 (0.805–1.439) in men and 0.492 (0.388–0.623) in women. Compared to manual workers, ORs (95% CIs) for private cancer screening of office workers were 1.300 (1.018–1.660) in men and 0.822 (0.616–1.098) in women. In comparison to the least educated men, OR (95% CI) for private cancer screening of the most educated men was statistically significant (1.530 [1.117–2.095]).

Conclusion

Higher economic status was associated with higher rates of overall and private cancer screening in both sexes and a lower rate of NCSP in women. Male office workers and more educated individuals underwent private cancer screening at a higher rate than manual workers and less educated individuals, respectively.

Citations

Citations to this article as recorded by  
  • Regularity of cervical cancer screening in Korea: analysis using national public data for 12 years
    Jong-Yeup Kim, Jeeyoung Hong, Juhee Yoon, Jinsol Park, Tae-Hyun Kim
    Journal of Gynecologic Oncology.2024;[Epub]     CrossRef
  • Association between Socioecological Status, Nutrient Intake, and Cancer Screening Behaviors in Adults Aged 40 and Over: Insights from the Eighth Korea National Health and Nutrition Examination Survey (KNHANES, 2019)
    Seungpil Jeong, Yean-Jung Choi
    Nutrients.2024; 16(7): 1048.     CrossRef
  • Insurance Types and All-Cause Mortality in Korean Cancer Patients: A Nationwide Population-Based Cohort Study
    Jinyoung Shin, Yoon-Jong Bae, Hee-Taik Kang
    Journal of Personalized Medicine.2024; 14(8): 861.     CrossRef
  • Role of breast cancer screening in the overdiagnosis of thyroid cancer: results from a cross-sectional nationwide survey
    Eunhye Lee, Sung Hoon Jeong, Chung Mo Nam, Jae Kwan Jun, Eun-Cheol Park
    BMC Women's Health.2023;[Epub]     CrossRef
  • Occupational disparities in survival from common cancers in Japan: Analysis of Kanagawa cancer registry
    Masayoshi Zaitsu, Yasuki Kobayashi, Enkhtuguldur Myagmar-Ochir, Takumi Takeuchi, Gen Kobashi, Ichiro Kawachi
    Cancer Epidemiology.2022; 77: 102115.     CrossRef
  • Financial Literacy, Financial Education, and Cancer Screening Behavior: Evidence from Japan
    Trinh Xuan Thi Nguyen, Sumeet Lal, Sulemana Abdul-Salam, Mostafa Saidur Rahim Khan, Yoshihiko Kadoya
    International Journal of Environmental Research and Public Health.2022; 19(8): 4457.     CrossRef
  • Current Status of the National Health Screening Programs in South Korea
    Hee-Taik Kang
    Korean Journal of Family Medicine.2022; 43(3): 168.     CrossRef
  • Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort
    Hye-Eun Lee, Masayoshi Zaitsu, Eun-A Kim, Ichiro Kawachi
    Safety and Health at Work.2020; 11(1): 41.     CrossRef
  • Inverse Association between Statin Use and Stomach Cancer Incidence in Individuals with Hypercholesterolemia, from the 2002–2015 NHIS-HEALS Data
    Hyo-Sun You, Nayoung You, Jae-Woo Lee, Hyoung-Ji Lim, Joungyoun Kim, Hee-Taik Kang
    International Journal of Environmental Research and Public Health.2020; 17(3): 1054.     CrossRef
  • Occupational Class and Cancer Survival in Korean Men: Follow-Up Study of Nation-Wide Working Population
    Hye-Eun Lee, Masayoshi Zaitsu, Eun-A Kim, Ichiro Kawachi
    International Journal of Environmental Research and Public Health.2020; 17(1): 303.     CrossRef
  • Occupational disparities in survival in Korean women with cancer: a nationwide registry linkage study
    Hye-Eun Lee, Eun-A KIM, Masayoshi Zaitsu, Ichiro Kawachi
    BMJ Open.2020; 10(9): e039259.     CrossRef
  • Эпидемиологические особенности рака шейки матки в Приморском крае
    Варвара Николаевна Журман , Татьяна Юрьевна Масленникова , Людмила Семеновна Матюшкина , Екатерина Валерьевна Елисеева
    Естественные и Технические Науки.2020; (№11): 148.     CrossRef
  • Socioeconomic Disparities in Cancer Screening: Organized versus Opportunistic
    Young Gyu Cho
    Korean Journal of Family Medicine.2016; 37(5): 261.     CrossRef
  • 6,811 View
  • 36 Download
  • 13 Web of Science
  • 13 Crossref
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