Industrial Traumatism and Occupational Morbidity in Mining Industry of Kazakhstan

Yerdessov, Nurbek; Izdenov, Asset; Beisenov, Timur; Suleimenova, Roza; Serik, Bakhtiyar; Sraubaev, Ermek

doi:10.4081/jphr.2021.2169

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…Thus, the analysis of literature data of both foreign and domestic authors made it possible to reveal that in order to assess the health of the working population as a whole, it is necessary to study comprehensively from the standpoint of occupational health and safety. A review of special scientific literature showed that the issues of organising the occupational health and safety service have not been studied, including the insufficiently developed monitoring system for the quality of professional activity, health and life of men employed in the main industries in the Republic of Kazakhstan (Kraus et al 2019, Matsuzaki et al 2020, Ballin et al 2020, Rohwer et al, 2022Nurbek et al, 2022;Nabirova et al, 2022;Durdyev et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Dynamics of Change in Population Health Indicators of the Kostanay Region and the Republic of Kazakhstan

Niyazbekova

Sadibekova

Myrzagulova

et al. 2023

Physical Activity and Health

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Introduction:The study of the incidence rate and its dynamics shows the state of health of the population and the effectiveness of the work of healthcare institutions. This article is devoted to the study of the health of the population of the Kostanay region in comparison with the republican indicators. Methods:The research used an observation of 100,000 people. The regulatory and legal documents in force in the Republic of Kazakhstan have been analyzed. The dynamics of changes in morbidity were studied and analyzed. Statistical processing of the received materials, logistic and interpretative evaluation of the results was carried out. Results:The emphasis was placed on the study of diseases of the circulatory system, among which the leading place is taken by hypertension and ischemic heart disease. The dynamics of changes in the incidence of diseases of the respiratory system, injuries and poisoning, diseases of the digestive system, genitourinary system, diabetes mellitus, endocrine diseases, metabolic diseases, nervous diseases, diseases of the skin and subcutaneous tissue, and the spread of oncological diseases were also studied.

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Section: Introductionmentioning

confidence: 99%

Dynamics of Change in Population Health Indicators of the Kostanay Region and the Republic of Kazakhstan

Niyazbekova

Sadibekova

Myrzagulova

et al. 2023

Physical Activity and Health

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“…Nurbek et al [ 8 ] used statistical analyses to analyze occupational injuries and diseases in the mining industry in the Republic of Kazakhstan between 2008 and 2018, noting that good working conditions, attention to employee welfare, and the improvement of monitoring indicators related to labor protection contributed to a reduction in the level of industrial injuries and occupational diseases. Erdal Özer et al [ 9 ] employed statistical analyses to assess fatal accidents at Zonguldak Coal Mine in Turkey during 2005–2008, assessing the age of the cases, the mechanisms of injury, the wound sites, the causes of death, and the legality of the mine.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, the presence of any negative effect disrupts the equilibrium and results in casualties. The recurrence of mining-related injuries, however, cannot be attributed to a single factor [ 8 , 9 ]. Coupling and correlation with existing factors in a multidimensional space under suitable conditions and time, accidents and injuries will occur [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis

Tian

Yun-dou

Gao

2022

IJERPH

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Background and Objectives: Coal mine injuries commonly occur, affecting both the safety and health of miners, and the normal operation of the coal mine. Accordingly, this study aimed to explore the regularity of injury and injury-related risk factors in coal mines in China so as to establish a scientific basis for reducing the incidence and promoting the prevention and control of injuries. Methods: A meta-analysis of casualty cases and injury-related risk factors from 1956 to 2017 in China was conducted utilizing data from six databases, including CNKI, Web of Science, PubMed, Medline, Embase, and Wanfang data. Summary estimates were obtained using random effects models. Results: There were statistically significant variations in coal mine accident types, types of work, injury sites, age, experience, months, and shifts (p < 0.001). Eight types of accidents were susceptible to the risk of injury, and the greatest risk was presented by roof-related accidents (odds ratio (OR) = 0.46, 95% confidence interval (CI) = 0.32–0.6). Coal miners and drillers were at a greater risk of injury (OR = 0.39, 95% CI = 0.35–0.44; OR = 0.22, 95% CI = 0.17–0.26, respectively). The extremities and the soft tissues of the skin were at the greatest risk of injury (OR = 0.44, 95% CI = 0.3–0.58; OR = 0.23, 95% CI = 0.1–0.48, respectively). Compared with other ages, miners aged 21–30 were at a greater risk of injury (21–30 years, OR = 0.45, 95% CI = 0.42–0.47; 31–40 years, OR = 0.29, 95% CI = 0.25–0.32; <20 years, OR = 0.13, 95% CI = 0.03–0.23; >40 years, OR = 0.17, 95% CI = 0.09–0.25). Compared with other miners, those with 6–10 years of experience were at a greater risk of injury (6–10 years, OR = 0.29, 95% CI = 0.25–0.32; 2–5 years, OR = 0.33, 95% CI = 0.25–0.41; <1 year, OR = 0.22, 95% CI = 0.08–0.33; >11 years, OR = 0.22, 95% CI = 0.17–0.27). During the months of July to September, the risk of injury was elevated (7–9th months, OR = 0.32, 95% CI = 0.25–0.39; 10–12th months, OR = 0.24, 95% CI = 0.16–0.31; 1st–3rd months, OR = 0.22, 95% CI = 0.16–0.28; 4–6th months, OR = 0.21, 95% CI = 0.16–0.27). In the three-shift work system, the risk of injury was higher during night shifts (22:00–06:00, OR = 0.43, 95% CI = 0.3–0.56; 14:00–22:00, OR = 0.3, 95% CI = 0.23–0.27; 06:00–14:00, OR = 0.27, 95% CI = 0.18–0.35). Conclusions: The results of this research study reveal that coal mine injuries are prevalent among coal miners. These injuries are often related to the age, experience, months of work, and the three-shift work system of miners.

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Industrial Traumatism and Occupational Morbidity in Mining Industry of Kazakhstan

Cited by 2 publications

References 15 publications

Dynamics of Change in Population Health Indicators of the Kostanay Region and the Republic of Kazakhstan

Dynamics of Change in Population Health Indicators of the Kostanay Region and the Republic of Kazakhstan

Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis

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