Health conditions in retired manual labor miners and oil and gas extraction workers: National Health Interview Survey, 2007–2017

Robinson, Tashina; Sussell, Aaron; Yeoman, Kristin; Retzer, Kyla; Poplin, Gerald S.

doi:10.1002/ajim.23195

Cited by 5 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between occupational stress and mental health among oilfield workers in an arid desert environment in the Xinjiang region of China was found in previous studies and revealed a causal relationship between occupational stress and psychological disorders, while the relationship between psychological disorders and genetic levels was further explored ( Jiang et al, 2021 ). Workers in the mining, oil and gas extraction industries appear to have worse chronic health conditions than the general working population until retirement ( Robinson et al, 2021 ), and we have found similar phenomena in our study, which deserve further attention. In Nigeria, where oil is the mainstay of the industry, almost all oil workers suffer from work-related musculoskeletal disorders ( Omojunikanbi et al, 2022 ).…”

Section: Discussionsupporting

confidence: 80%

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Liu

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

ObjectivesUse Bayes statistical methods to analyze the factors related to the working ability of petroleum workers in China and establish a predictive model for prediction so as to provide a reference for improving the working ability of petroleum workers.Materials and methodsThe data come from the health questionnaire database of petroleum workers in the Karamay region, Xinjiang, China. The database contains the results of a health questionnaire survey conducted with 4,259 petroleum workers. We established an unsupervised Bayesian network, using Node-Force to analyze the dependencies between influencing factors, and established a supervised Bayesian network, using mutual information analysis methods (MI) to influence factors of oil workers’ work ability. We used the Bayesian target interpretation tree model to observe changes in the probability distribution of work ability classification under different conditions of important influencing factors. In addition, we established the Tree Augmented Naïve Bayes (TAN) prediction model to improve work ability, make predictions, and conduct an evaluation.Results(1) The unsupervised Bayesian network shows that there is a direct relationship between shoulder and neck musculoskeletal diseases, anxiety, working age, and work ability, (2) The supervised Bayesian network shows that anxiety, depression, shoulder and neck musculoskeletal diseases (Musculoskeletal Disorders, MSDs), low back musculoskeletal disorders (Musculoskeletal Disorders, MSDs), working years, age, occupational stress, and hypertension are relatively important factors that affect work ability. Other factors have a relative impact on work ability but are less important.ConclusionAnxiety, depression, shoulder and neck MSDs, waist and back MSDs, and length of service are important influencing factors of work ability. The Tree Augmented Naïve Bayes prediction model has general performance in predicting workers’ work ability, and the Bayesian model needs to be deepened in subsequent research and a more appropriate forecasting method should be chosen.

show abstract

Section: Discussionsupporting

confidence: 80%

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Liu

et al. 2022

Front. Psychol.

View full text Add to dashboard Cite

show abstract

“…Some research suggests a higher risk of CVD due to hypertension in those with new onset hypertension at age <45 years 20 . Our previous study using NHIS found that retired miners had a significantly higher prevalence of hypertension than all other retirees 7 . Several workplace factors can influence blood pressure.…”

Section: Discussionmentioning

confidence: 97%

“…20 Our previous study using NHIS found that retired miners had a significantly higher prevalence of hypertension than all other retirees. 7 Several workplace factors can influence blood pressure. Job stressors such as high noise exposure, shift work, and production occupations (all highly prevalent in the mining industry) have all been linked to hypertension.…”

Section: Educationmentioning

confidence: 99%

“…Our previous research has indicated that retired miners have significantly higher rates of certain health conditions (hypertension, hearing loss, functionally limiting lung problems, and fair or poor health) than other retired workers 7 . Additionally, when oil and gas extraction (OGE) workers were used as a separate comparison group (OGE being the other industry subsector within the overall mining sector), miners still generally had a higher prevalence of these health conditions than OGE workers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Health conditions among male workers in mining and other industries reliant on manual labor occupations: National Health Interview Survey, 2007–2018

Robinson

Sussell

Scott

et al. 2023

American J Industrial Med

Self Cite

View full text Add to dashboard Cite

Introduction Mining is an industry with diverse, demanding occupational exposures. Understanding the prevalence of chronic health conditions in working miners is an area of active research. Of particular interest is how the health of miners compares to that of workers in other industry sectors with a high proportion of manual labor occupations. By comparing similar industries, we can learn what health conditions may be associated with manual labor and with individual industries. This study analyzes the prevalence of health conditions in miners compared to workers employed in other manual‐labor‐reliant industries. Methods National Health Interview Survey public data were analyzed for the years 2007–2018. Mining and five other industry groups with a high proportion of manual labor occupations were identified. Female workers were excluded because of small sample sizes. The prevalence of chronic health outcomes was calculated for each industry group and compared to that of nonmanual labor industries. Results Currently‐working male miners showed increased prevalence of hypertension (in those age <55 years), hearing loss, lower back pain, leg pain progressing from lower back pain, and joint pain, compared to nonmanual labor industries workers. Construction workers also demonstrated a high prevalence of pain. Conclusion Miners demonstrated increased prevalence of several health conditions, even when compared to other manual labor industries. Given previous research on chronic pain and opioid misuse, the high pain prevalence found among miners suggests mining employers should reduce work factors that cause injury while also providing an environment where workers can address pain management and substance use.

show abstract

“…These territories are characterized by the following climatic features: intense wind regime (due to high cyclonic activity) with high humidity in combination with low temperature, sharp changes in barometric pressure, significant seasonal photoperiodicity, including polar day and polar night phenomena [ 23 , 24 , 25 , 26 , 27 , 28 ]. This leads to a significant tension in the regulatory systems of the human body, causing the development of various diseases: climatic and geographical factors are primary importance for the cardiovascular and musculoskeletal systems diseases, ENT organs, social factors play a significant role in the occurrence of the gastrointestinal tract diseases and infectious diseases [ 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 ].…”

Section: The Substantiation Of the List Of Unfavorable Environmental Factors For Fifo Personnel At Industrial Enterprisesmentioning

confidence: 99%

The Adverse Environmental Impact Factors Analysis on Fly-In-Fly-Out Personnel at Industrial Enterprises

Korneeva

2022

IJERPH

View full text Add to dashboard Cite

(1) Background: the research purpose is to identify and describe the general and different factors of adverse environmental impact on FIFO personnel at industrial enterprises at different levels of differential analysis of professional activity. (2) Methods: The research involved 359 employees of industrial enterprises with FIFO work organization. The study was carried out using a questionnaire, including a subjective assessment of the discomfort of three groups of negative environment impact factors to the FIFO personnel: climatic-geographical, industrial and social. (3) Results: The relationship between the increase in the degree of discomfort of production factors due to the in-fluence of climatic, geographical and social conditions has been established. With a various location of objects, the greatest discomfort is felt from the action of climatic and production factors; with varying degrees of group isolation and the shift period duration—all three groups, with the greatest influence of domestic and social; in various industries and enterprises—all three groups. (4) Conclusions: The differential analysis of the professional activities of FIFO personnel of industrial enterprises should be carried out at the following levels: the location of an industrial facility, the degree of group isolation, the duration of the shift period, the industry, the type of enterprise and the professional group.

show abstract

Health conditions in retired manual labor miners and oil and gas extraction workers: National Health Interview Survey, 2007–2017

Cited by 5 publications

References 20 publications

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Study on a Bayes evaluation of the working ability of petroleum workers in the Karamay region, Xinjiang, China

Health conditions among male workers in mining and other industries reliant on manual labor occupations: National Health Interview Survey, 2007–2018

The Adverse Environmental Impact Factors Analysis on Fly-In-Fly-Out Personnel at Industrial Enterprises

Contact Info

Product

Resources

About