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Research Article
Validity assessment of self-reported smoking status in firefighters using the urine cotinine test
Han Cheol Heo, Young Seok Byun, Soo Ho Sohn, Seong Min Jo, Sung Kyu Park, Joon Sakong
Ann Occup Environ Med 2020;32:e2.   Published online January 2, 2020
DOI: https://doi.org/10.35371/aoem.2020.32.e2
AbstractAbstract PDFPubReaderePub
Background

In firefighters, smoking management is important because they are exposed to various harmful substances in their occupational environment. Accurate surveys of smoking status are essential to control tobacco use. The main disadvantage of self-report questionnaires, which are commonly used for investigating smoking status, is the possibility that the subjects' response are invalid. If the validity of firefighters' answers on smoking questionnaires is not adequate, different methods will be needed for investigating smoking status in firefighters.

Methods

This study was conducted on 445 male firefighters from 9 fire stations in Daegu (the city in South Korea) who visited a medical institution for medical checkup in 2016. The urine cotinine test strip (DCT-102; CLIAwaived Inc., cut-off value = 200 ng/mL) was used to classify the actual smoking status and to assess the validity of self-reported smoking status on questionnaires. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the smoking questionnaires were analyzed. Subjects testing positive in the urine cotinine test (assumed the actual current smokers) were selected. The frequency at which actual current smokers were misclassified as current non-smokers by the questionnaire was calculated. Subjects' characteristics were analyzed for possible association with any discrepancy between self-reported smoking status and urine cotinine test results.

Results

The smoking rates among firefighters surveyed using the smoking questionnaire and the urine cotinine test were 22.47% and 51.24%, respectively. Of the all subjects, 29.66% (n = 132) were misclassified. The sensitivity of the smoking questionnaire was 42.98%, the specificity was 99.08%, the PPV was 98.00%, and the NPV was 62.32%. In the 228 subjects classified as current actual smokers by the urine cotinine test, 57.02% (n = 130) were misclassified on the questionnaire. The misclassification rate increased with age. The degree of misclassification also increased when subjects had a history of disease.

Conclusions

In present study, the validity of the smoking questionnaire for firefighters was not suitable for investigating smoking status due to low sensitivity. To increase the validity of smoking status monitoring in firefighters, consideration of the various factors like survey environment, subjects' characteristics, and occupational factors is needed.


Citations

Citations to this article as recorded by  
  • Association between Smoking Status and the Risk of Hip Fracture in Patients with Type 2 Diabetes: A Nationwide Population-Based Study
    Se-Won Lee, Jun-Young Heu, Ju-Yeong Kim, Jinyoung Kim, Kyungdo Han, Hyuk-Sang Kwon
    Endocrinology and Metabolism.2023; 38(6): 679.     CrossRef
  • Smoking Prevalence and Factors Associated with False Reporting in Korean Adolescents: The Korea National Health and Nutrition Examination Survey (2016-2020)
    Seong Jun Park, Yoo Bin Seo, Jungun Lee, Seung Hee Kim, Chung Hwan Kim
    Korean Journal of Family Practice.2022; 12(5): 375.     CrossRef
  • Combustible cigarettes, heated tobacco products, combined product use, and periodontal disease: A cross-sectional JASTIS study
    Takashi Yoshioka, Takahiro Tabuchi, Stanton A. Glantz
    PLOS ONE.2021; 16(3): e0248989.     CrossRef
  • Biomonitoring of smoke exposure in firefighters: A review
    Biban Gill, Philip Britz-McKibbin
    Current Opinion in Environmental Science & Health.2020; 15: 57.     CrossRef
  • 243 View
  • 2 Download
  • 3 Web of Science
  • 4 Crossref
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Research Article
Effect of Long Working Hours on Self-reported Hypertension among Middle-aged and Older Wage Workers
Dong Hyun Yoo, Mo-yeol Kang, Domyung Paek, Bokki Min, Sung-il Cho
Ann Occup Environ Med 2014;26:25-25.   Published online September 3, 2014
DOI: https://doi.org/10.1186/s40557-014-0025-0
AbstractAbstract PDFPubReaderePub
Objectives

Many studies have reported an association between overwork and hypertension. However, research on the health effects of long working hours has yielded inconclusive results. The objective of this study was to identify an association between overtime work and hypertension in wage workers 45 years and over of age using prospective data.

Methods

Wage workers in Korea aged 45 years and over were selected for inclusion in this study from among 10,254 subjects from the Korean Longitudinal Study of Ageing. Workers with baseline hypertension and those with other major diseases were excluded. In the end, a total of 1,079 subjects were included. A Cox proportional hazards model was used to calculate hazard ratios and adjust for baseline characteristics such as sex, age, education, income, occupation, form of employment, body mass index, alcohol habit, smoking habit, regular exercise, and number of working days per week. Additional models were used to calculate hazard ratios after gender stratification.

Results

Among the 1,079 subjects, 85 workers were diagnosed with hypertension during 3974.2 person-months. The average number of working hours per week for all subjects was 47.68. The proportion of overtime workers was 61.0% (cutoff, 40 h per week). Compared with those working 40 h and less per week, the hazard ratio of subjects in the final model, which adjusted for all selected variables, working 41-50 h per week was 2.20 (95% confidence interval [CI], 1.19–4.06), that of subjects working 51-60 h per week was 2.40 (95% CI, 1.07–5.39), and that of subjects working 61 h and over per week was 2.87 (95% CI, 1.33–6.20). In gender stratification models, the hazard ratio of the females tended to be higher than that of the males.

Conclusion

As the number of working hours per week increased, the hazard ratio for diagnosis of hypertension significantly increased. This result suggests a positive association between overtime work and the risk of hypertension.


Citations

Citations to this article as recorded by  
  • Systematic review and meta-analysis of the association between long working hours and hypertension risk
    Joonho Ahn, Ji-Hun Song, In-Soo Shin, In Young Cho, Mo-Yeol Kang
    Journal of Epidemiology and Community Health.2024; 78(6): 367.     CrossRef
  • Risk prediction model of self-reported hypertension for telemedicine based on the sociodemographic, occupational and health-related characteristics of seafarers: a cross-sectional epidemiological study
    Getu Gamo Sagaro, Ulrico Angeloni, Gopi Battineni, Nalini Chintalapudi, Marzio Dicanio, Mihiretu M Kebede, Claudia Marotta, Giovanni Rezza, Andrea Silenzi, Francesco Amenta
    BMJ Open.2023; 13(10): e070146.     CrossRef
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    Haitham Al-Madhagi
    Risk Management and Healthcare Policy.2023; Volume 16: 2779.     CrossRef
  • Long working hours associated with elevated ambulatory blood pressure among female and male white-collar workers over a 2.5-year follow-up
    Mahée Gilbert-Ouimet, Xavier Trudel, Denis Talbot, Michel Vézina, Alain Milot, Chantal Brisson
    Journal of Human Hypertension.2022; 36(2): 207.     CrossRef
  • Occupational risk factors for hypertension
    Mo-Yeol Kang
    Journal of Hypertension.2022; 40(11): 2102.     CrossRef
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    Wanhyung Lee, Jongin Lee, Hyoung-Ryoul Kim, Yu Min Lee, Dong-Wook Lee, Mo-Yeol Kang
    Journal of Occupational Health.2021;[Epub]     CrossRef
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    Hao Cheng, Xuan Gu, Zhenan He, Yanqiu Yang
    Medicine.2021; 100(16): e25629.     CrossRef
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    Qinqin Li, Rui Li, Shaojie Zhang, Yuanyuan Zhang, Panpan He, Zhuxian Zhang, Mengyi Liu, Chun Zhou, Huan Li, Chengzhang Liu, Xianhui Qin
    Hypertension.2021; 78(1): 220.     CrossRef
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    Sangsoo Han, Yujin Ko, Ji Eun Moon, Young Soon Cho
    Scientific Reports.2021;[Epub]     CrossRef
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    Sungjin Park, Hyungdon Kook, Hongdeok Seok, Jae Hyoung Lee, Daeun Lim, Dong-Hyuk Cho, Suk-Kyu Oh, Sergio A. Useche
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    Takahiko Kudo, Michael H. Belzer
    Safety Science.2020; 129: 104813.     CrossRef
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    Xavier Trudel, Chantal Brisson, Mahée Gilbert-Ouimet, Michel Vézina, Denis Talbot, Alain Milot
    Hypertension.2020; 75(2): 532.     CrossRef
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    Dong-wook Lee, Jongin Lee, Hyoung-Ryoul Kim, Kyo Yeon Jun, Mo-Yeol Kang
    Occupational and Environmental Medicine.2020; 77(10): 699.     CrossRef
  • Long working hours, anthropometry, lung function, blood pressure and blood-based biomarkers: cross-sectional findings from the CONSTANCES study
    Marianna Virtanen, Linda Magnusson Hansson, Marcel Goldberg, Marie Zins, Sari Stenholm, Jussi Vahtera, Hugo Westerlund, Mika Kivimäki
    Journal of Epidemiology and Community Health.2019; 73(2): 130.     CrossRef
  • Working Hours and Risk of Acute Myocardial Infarction and Stroke Among Middle-Aged Japanese Men ― The Japan Public Health Center-Based Prospective Study Cohort II ―
    Rie Hayashi, Hiroyasu Iso, Kazumasa Yamagishi, Hiroshi Yatsuya, Isao Saito, Yoshihiro Kokubo, Ehab S. Eshak, Norie Sawada, Shoichiro Tsugane
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  • 2 Download
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