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Factors associated with self-rated health among mineworkers in Zambia: a cross-sectional study

Abstract

Background

This study aims to examine miners’ working conditions and self-rated health status in copper mines in Zambia and to identify the conditions and factors necessary to improve the safety and health of mineworkers.

Methods

A cross-sectional study using a self-administered questionnaire was conducted anonymously among copper mineworkers in Zambia in 2015 and 2016. Five targeted mining companies among 33 were introduced by the Mineworkers’ Union of Zambia. Study participants were recruited at the waiting space for underground work, waiting rooms of company clinics/hospitals, and/or at training sessions, which were places permitted by the target companies to perform data collection via convenience sampling. Bivariate analyses (e.g., t tests, Kruskal-Wallis tests, chi-square tests, or Cochran-Armitage tests) and logistic regression analysis were used to analyze differences in demographic characteristics and to compare their working conditions, health conditions, safety management at the workplace, and training opportunities by employment status.

Results

In total, 338 responses were analyzed. Regular employees had better working conditions, including higher incomes (P = 0.001), more likely to be guaranteed sickness insurance by the company (P < 0.001), paid holidays (P = 0.094), and sick leave (P = 0.064), although the difference was not statistically significant. Mineworkers’ decreased self-rated health was determined by job category (adjusted odds ratio [AOR], 0.41; 95% confidence interval [CI], 0.21, 0.82; P = 0.012). Having experienced violence from the boss/manager (AOR, 0.54; 95% CI, 0.32, 0.91; P = 0.020) was negatively associated with better self-rated health in the crude odds ratio.

Conclusions

Among mineworkers in Zambia, nonunderground work and not having experienced violence from their boss/manager contributed to increased self-rated health. From the perspective of psychological safety and human security, the management of safety and the working environment, including human resource management and preventing harassment/violence, should be assured, especially for underground mineworkers.

Background

Previous studies revealed significant associations between underground mine work-related musculoskeletal injuries and ergonomic risk factors, such as working with a bent back and grasping objects [1, 2]. The fatality rate is high in the mining industry, particularly at underground sites. The most common cause of fatal injuries is falling rock in underground mines. The most frequent mechanism of injury is the handling of tools and materials, and the most commonly injured body parts are the hands and fingers in Zambia [3]. A study from the USA reported that slips and falls, electric injuries, the use of mining equipment, working in underground mining, worker age, and occupational experience were predictors of lost-time injuries in the mining industry, but there is insufficient evidence regarding mental health hazards [4].

Worldwide, working as a mineworker increases the risk of not only silicosis due to exposure to silica dust but also pulmonary tuberculosis regardless of the type of mine, such as coal, copper, gold, or others [5,6,7]. A study from South Africa demonstrated that there was a higher risk of mortality in the year after leaving mine work than in the general population [8]. Even in the USA, the prevalence of pneumoconiosis among coal mineworkers has been increasing [9], although mineworkers who have high compliance with health regulations are less likely to report lung disease [10]. Mineworkers’ safety and health challenges also include hearing loss/problems [2, 11, 12], sleep deprivation [13], and heart strain [14].

Previous studies have recommended safety- and health-promotion programs, including injury prevention and wellness programs, in the mining industry due to the high prevalence of injuries and mortality and adverse outcomes due to lost time [15, 16], although the implementation and feasibility of these programs have not been sufficiently guaranteed. Furthermore, an international shift toward using contract labor and extended workdays produces risks of long working hour injuries [17].

In recent decades, the safety and health of workers have received inadequate attention in Sub-Saharan African countries, including Zambia, due to the primary focus on infectious disease control, including HIV/AIDS, maternal and child health, and reproductive health [18]. However, the conditions surrounding workers have become increasingly complex and multifaceted in the face of increasing investment from foreign private sectors, while the implementation of policies and regulations to ensure safe and healthy working environments have lagged behind in low- and middle-income countries, including those of Sub-Saharan Africa. Up to several thousands of workers may work in a single copper mine in Zambia; for example, the largest four copper companies alone employed 56,300 individuals in 2012, including this study’s location [19]. The country, situated in the south of the African continent, is rich in mineral resources, and copper mining is the lifeblood of the Zambian economy. The rate of Zambia’s economic growth was 3.8% in 2018 [20]. According to a report by the International Labor Organization (ILO) in 2013, 26% of the 6000 cases of work-related illnesses and injuries reported between 2003 and 2007 took place in the mining industry. Increasing reports of health hazards among workers resulting from poor working environment violations of human rights are also being presented by international human rights organizations [21]. Furthermore, 12.4% of the reproductive population in Zambia is estimated to be HIV positive [22], which, together with tuberculosis, can potentially have a devastating impact on the country’s labor force. Although miners in Zambia enjoy one of the more stable working environments among similar Sub-Saharan African countries, their health and welfare needs remain uninvestigated. Studies on their health have been limited, with little attention given to risk prevention, health promotion, and health literacy. In addition, we have limited information regarding training opportunities in safe and healthy work environments and supervision, including human relationships such as workplace harassment and/or violence, among mineworkers who work under stressful conditions.

This study focuses on workers in the mining industry, which has enjoyed relatively stable industrial relations via large-scale labor unions. The study examines their working conditions and health status and identifies the conditions and factors necessary to strengthen the individual- and organizational-level safety and health of mineworkers.

Methods

A cross-sectional study was conducted using a self-administered questionnaire distributed to mineworkers in the Copperbelt and Northwestern Provinces, Zambia, and data collection was performed in 2105 and 2016, respectively. The questionnaire included information on demographic characteristics in addition to working conditions, health and health check-up conditions, safety management and supervision at the workplace, and training opportunities. In addition, there was a free description space in the questionnaire, and the mineworkers could mention anything related to work. The questionnaire was prepared by the authors through interviews with mineworkers before the initiation of this study; the pretrial interviews were conducted at a company not included in the target companies in this study.

Five target mining companies among 33 companies were introduced by the Mineworkers’ Union of Zambia, and the researchers obtained permission to perform this study from the target mining companies in advance. The researchers recruited study participants at the waiting space for underground work, waiting rooms of company clinics/hospitals, and/or at the time of training sessions, which were places permitted to perform data collection by the target companies via convenience sampling in 2015 and 2016. The study participants recruited from the waiting rooms of company clinics/hospitals were mineworkers who visited the clinics/hospitals for their health check-ups. The study was conducted anonymously (both the study participants’ names and the companies’ names). The study participants completed the questionnaire after receiving oral and written explanations of the study objectives, procedures, data collection and management, publication, confidentiality, and ethical considerations regarding participation or refusal to participate in the study. Depositing the completed questionnaire in the collection box was deemed to represent consent to participate in the study. Before conducting the study, a research assistant or one of the authors gave an oral and written explanation of the study to and obtained written consent from the president and/or responsible human resources management of the study participants’ companies. No incentives were provided for the study participants.

Bivariate analyses, such as t tests, Kruskal-Wallis tests, chi-square tests or Cochran-Armitage tests, and logistic regression analysis were used to analyze the differences in the demographic characteristics and to compare their working conditions, health conditions, safety management at the workplace, and training opportunities by employment status using IBM SPSS (ver. 22). The significance level was set at 5%. In addition, a free listing was used to demonstrate free descriptions regarding working conditions and environment.

The study was approved by the University of Zambia Biomedical Research Ethics Committee (authorization number: 002-10-15) and the Ethical Committees of Nagasaki University Graduate School of Biomedical Sciences (authorization number: 15042404).

Results

Among the mineworkers who were asked to participate in the study, none refused to complete the questionnaire after learning about the study procedures and ethical considerations. Finally, a total of 383 mineworkers submitted the questionnaire in the collection box. Twenty-five female respondents and respondents without sex information were excluded from the analysis because most female respondents were engaged in administrative work and/or ground staff. Twenty respondents lacked information regarding age, educational status, and employment status and were also excluded from the analysis. Therefore, all respondents that were included in the analysis were Zambian males. Table 1 demonstrates a difference in the respondents’ demographic characteristics by employment status, such as regular employment (n = 213) and contract employment (n = 125). Contract employees were younger than regular employees (t test, P = 0.001), more likely to be single or not living with a partner (chi-square test, P < 0.001), and more likely to drink alcoholic beverages (chi-square test, P = 0.043).

Table 1 Demographic characteristics and daily life habits of the study participants (n = 338)

Table 2 shows the health conditions and health- and safety-related conditions at the workplace. Regular employees were more likely to be committed to underground work than contract employees (chi-square test, P < 0.001). The former were also more likely to be guaranteed sickness insurance by the company (chi-square test, P < 0.001), paid holidays (chi-square test, P = 0.094), and sick leave (chi-square test, P = 0.064), although the difference was not statistically significant. The income in Kwacha of regular workers (mean ± standard deviation, 4681 ± 1994) was higher than that of contract workers (3595 ± 3197) (t test, P < 0.001). There was a statistically significant difference in income by educational status (did not complete high school: 3197 ± 1422, completed high school: 4328 ± 2250, and completed college/university: 4571 ± 2962, respectively, Kruskal-Wallis test, P = 0.002). Among respondents who worked the night shift, there was no statistically significant difference in hours of night shift work (mean ± standard deviation) between regular (10.7 ± 6.8) and contract (11.0 ± 5.3) employees (t test, P = 0.763). Among respondents who worked overtime, there was also no statistically significant difference in hours of overtime between regular (13.1 ± 13.0) and contract (12.4 ± 11.4) employees (t test, P = 0.730).

Table 2 Working conditions of the study participants (n = 338)

Table 3 demonstrates self-rated health and health- and safety-related conditions at the workplace by employment status. A total of 330 study participants provided responses of self-rated health, and 241 (73.0%) of them reported “very good” or “good” self-reported health. There was no significant difference in the self-rated health conditions between regular employees and contract employees (chi-square test, P = 0.625). Regular employees were more likely to have availability of health check-ups by the company in the last year than contract employees (chi-square test, P = 0.078), although the difference was not statistically significant. However, other conditions, such as experiencing accidents and/or violence at the workplace and supervision, did not show statistically significant differences.

Table 3 Health conditions and health- and safety-related conditions in the workplace (n = 330)

Training opportunities regarding working conditions when the employees began working were more likely to be guaranteed for regular employees than contract employees, although the proportions were not high (37.1% and 19.6%, respectively), and other training opportunities at the beginning of work were provided to approximately 20% of both regular and contract employees. Only training about safety in the workplace was provided to more than half of the workers at the beginning of work among both regular and contract employees. More than 90% of the respondents, both regular and contract employees, received training about safety management at the workplace after starting work (Table 4).

Table 4 Training opportunities (n = 338)

Table 5 shows the factors associated with self-rated health that were calculated using self-rated health as the dependent variable and age, income, educational status, employment status, job category, provision of meal/snack at the workplace, paid holiday, sickness insurance, experience of violence, and supervision in the workplace as independent variables using logistic regression analysis. Regardless of employment status, working underground (adjusted odds ratio [AOR], 0.41; 95% confidence interval [CI], 0.21, 0.82; P = 0.012) was negatively associated with better self-rated health in the logistic regression analysis. Although significant associations were not found after adjustment, higher educational status, being provided with a meal/snack at the workplace, and receiving supervision contributed to better self-rated health. On the other hand, experiencing violence from the boss/manager was negatively associated with better self-rated health in the crude odds ratio (OR, 0.54; 95% CI, 0.32, 0.91; P = 0.020).

Table 5 Factors associated with self-rated health among mineworkers

Table 6 demonstrates a free description regarding the working conditions and environment. The free description spaces included 8 statements related to supervision and/or inspection, such as “Employees work properly without pressure. Sometimes accidents come from pressure from bosses or supervisors, so don’t put too much pressure on employees (by a contract worker)” and “Some supervisors think that the worker is just bluffing, doesn’t want to work while he is sick. As a result, other workers fear disclosing how they are feeling, and at the end of the day, the workers collapsed (by a contract worker).” There were also 23 statements regarding training, such as “Working in the mining industry is crucial. The company must form a team to train employees to avoid being involved in accidents (by a contract worker).” Regarding working conditions, including safety in the workplace, such as dust, heat, and noise (96 statements), salary/payment (79 statements), and holidays/leave (7 statements), respondents provided comments such as “The working conditions are very poor, and we are not allowed to take annual leave; instead, we are paid, so we do not have enough rest. The company has no salary structure; hence, people are not paid according to their qualifications (by a contract worker)” and “Most employees find themselves in unsafe and unhealthy situations due to pressure of work from supervisors combined with personal, social and economic challenges (by a contract worker).”

Table 6 Free description regarding working conditions and environment

Discussion

According to the findings in this study, in the copper mines of Zambia, regular employees had better working conditions, including higher income, paid holidays, and sickness insurance, than contract employees. However, mineworkers’ self-rated health was determined by job category, such as working underground.

According to the Mineworkers’ Union of Zambia, among mineworkers in Zambia, regular employees are protected in regard to income and working conditions, including paid holidays, health check-ups, and sickness insurance. These conditions should be fundamentally guaranteed for decent work among mineworkers regardless of employment status. However, both regular and contract workers mentioned inappropriateness of working conditions such as insufficient salary, unsafe environment at work place, and lack of adequate supervision, training, and equipment for safety control, in the free descriptions regardless of employment status. In this study, mineworkers could not honestly disclose their health conditions and illness because they were afraid that their boss/manager would regard them as false illnesses and/or loafing. In addition, the mineworkers could not assert opinions regarding safety due to fear of receiving criticisms and/or intimidation from their boss/manager. This kind of psychological pressure and stress from the boss/manager may produce unsafe and/or unhealthy working conditions. Especially for underground mineworkers, safety in the work environment should be assured, not only by enhancing physical conditions, including temperature and noise but also by managing human resources and preventing harassment/violence from the perspective of psychological safety and human security. It is important to consider a participatory approach whereby both workers and employees engage in policymaking and risk prevention. Regarding psychological safety and human security, in addition to guaranteeing these conditions, safety and working environment management, including human resource management and the prevention of harassment/violence, should be assured, especially for underground mineworkers.

A previous study reported that higher income, low stress, and higher job satisfaction were factors associated with early return to work after injuries among mineworkers [23]. From the perspective of the effort-reward imbalance model, higher income is an essential factor that is associated with better quality of life among mineworkers [24]. In this study, higher income was associated with regular employment and higher educational status, but self-rated health was not associated with employment status, such as regular or contract employment. In general, higher income is associated with higher educational status [25], but there were complex relationships among employment status, job categories, working conditions, and educational status in this study. For example, underground mineworkers committed to heavy workloads and nightshift work with uncomfortable conditions, including high temperatures and noisy settings, regardless of educational status. Additionally, having experienced violence that might have resulted in stressful working conditions was associated with self-rated health. Individuals who reported lower self-rated health may have received higher income if their psychological safety was not protected. Regarding health personnel management, the inadequate number and distribution of personnel and mental fatigue in health personnel in low- and middle-income countries are serious challenges [26,27,28]. Improving the motivation of health personnel is essential for retention, but financial incentives alone are not sufficient to motivate them. The appropriate distribution of human resources, necessary equipment, and financing are indispensable, and functioning management and the maintenance of infrastructure are also required [29]. A study from Senegal reported that the provision of a permanent contract was the most important factor for retaining employees in rural and challenging regions, following the availability of necessary equipment in working facilities and the provision of training opportunities [30]. In the mining industries, the situation may be similar. The satisfaction of temporal financial needs as well as comfortable working environments/conditions, including a balanced and proper salary and guaranteed sustainability of these working conditions, should be fundamental for both individual workers and organizations. In this study, training opportunities did not differ between regular and contract employees and did not contribute to self-rated health, although previous studies have indicated that training opportunities were one of the key factors for retaining employees [31]. Additionally, training opportunities, especially entry training at the start of employment at mining companies, were very limited in this study. This may be due to the conditions of the economic market, different levels of professionalism, and background educational status. Further studies should be conducted to determine reasonable factors and explanations.

According to the concept of decent work by the ILO [32, 33], psychological health in the workplace and work conditions should not be neglected, not only for safety and health of workers but also to maintain equity and social justice. Holistic approaches, such as achieving decent working conditions and appropriate supervision, could guarantee comprehensive well-being, including safety and health [34], and could strengthen individual and organizational potentiality in underserved settings, such as Zambian mine workplaces. Although there are stressful conditions, including human relationships and workplace harassment/violence, functioning supervision can mitigate mineworkers’ complaints. Therefore, training for both mineworkers and supervisors should be required to produce decent working conditions. For that reason, it is important that a participatory approach be considered, whereby both workers and employees engage in policymaking and risk prevention.

This study has several limitations. First, biological measures were not evaluated to assess objective health status. Self-rated health was used to evaluate mineworkers’ health status. However, a previous study demonstrated that self-rated health could be a measurement of health status [35]. Second, this study did not assess the causal factors related to mineworkers’ health status. Third, this study did not fully discuss the contribution of mental health conditions and stress coping to self-rated health. Fourth, details regarding working hours and shifts were not evaluated in this study. According to interviews with administrative officers of the mining companies conducted by the authors, underground workers continue a rotation of nightshift work for 10 days, followed by a 2- or 3-day holiday, and then dayshift work for 10 days, at one of the target companies in this study. However, each company had its own regulations, and the work shift varied depending on the type of work. Further studies are required to describe the relationships between working conditions/environments and mineworkers’ safety and health status. Fifth, the questionnaire survey was limited in terms of evaluating the details of “violence” in the workplace. Some respondents considered only physical violence as “violence,” and others might have included verbal and/or psychological violence and other types of harassment. Sixth, the results were not fully obtained from a representative population of mineworkers in Zambia because there were difficulties in accessing the target population.

Conclusions

The findings from this study demonstrated that accidents and harassment/violence committed by a boss/manager in the workplace were common in mining companies. Among mineworkers in Zambia, nonunderground work and not having experienced violence from the boss/manager contributed to increased self-rated health. From the perspective of psychological safety and human security, management of safety and the working environment, including human resource management and the prevention of harassment/violence, should be assured, especially for underground mineworkers. Appropriate responses to workplace harassment/violence and supervision can contribute to providing balanced working conditions among mineworkers in stressful environments.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AIDS:

Acquired immunodeficiency syndrome

AOR:

Adjusted odds ratio

CI:

Confidence interval

HIV:

Human immunodeficiency virus

ILO:

International Labor Organization

References

  1. Kunda R, Frantz J, Karachi F. Prevalence and ergonomic risk factors of work-related musculoskeletal injuries amongst underground mine workers in Zambia. J Occup Health. 2013;55(3):211–7.

    Article  Google Scholar 

  2. Jiménez-Forero CP, Zabala IT, Idrovo ÁJ. Work conditions and morbidity among coal miners in Guachetá, Colombia: the miners’ perspective. Biomedica. 2015;35:Spec:77–89. https://doi.org/10.1590/S0120-41572015000500009.

    Article  PubMed  Google Scholar 

  3. Michelo P, Bråtveit M, Moen BE. Occupational injuries and fatalities in copper mining in Zambia. Occup Med. 2009;59(3):191–4.

    Article  Google Scholar 

  4. Nowrouzi-Kia B, Sharma B, Dignard C, Kerekes Z, Dumond J, Li A, et al. Systematic review: lost-time injuries in the US mining industry. Occup Med. 2017;67(6):442–7.

    Article  CAS  Google Scholar 

  5. Naidoo RN, Robins TG, Murray J. Respiratory outcomes among South African coal miners at autopsy. Am J Ind Med. 2005;48(3):217–24.

    Article  Google Scholar 

  6. Stuckler D, Basu S, McKee M, Lurie M. Mining and risk of tuberculosis in sub-Saharan Africa. Am J Public Health. 2011;101(3):524–30.

    Article  Google Scholar 

  7. Ngosa K, Naidoo RN. The risk of pulmonary tuberculosis in underground copper miners in Zambia exposed to respirable silica: a cross-sectional study. BMC Public Health. 2016;16(1):855.

    Article  Google Scholar 

  8. Bloch K, Johnson LF, Nkosi M, et al. Precarious transition: a mortality study of South African ex-miners. BMC Public Health. 2018;18(1):862.

    Article  Google Scholar 

  9. Blackley DJ, Halldin CN, Laney AS. Continued increase in prevalence of coal workers’ pneumoconiosis in the United States, 1970-2017. Am J Public Health. 2018;108(9):1220–2.

    Article  Google Scholar 

  10. Yorio PL, Laney AS, Halldin CN, Blackley DJ, Moore SM, Wizner K, et al. Interstitial lung diseases in the U.S. mining industry: using MSHA data to examine trends and the prevention effects of compliance with health regulations, 1996-2015. Risk Anal. 2018;38(9):1962–71.

    Article  Google Scholar 

  11. Masterson EA, Tak S, Themann CL, Wall DK, Groenewold MR, Deddens JA, et al. Prevalence of hearing loss in the United States by industry. Am J Ind Med. 2013;56(6):670–81.

    Article  Google Scholar 

  12. Musiba Z. The prevalence of noise-induced hearing loss among Tanzanian miners. Occup Med. 2015;65(5):386–90.

    Article  CAS  Google Scholar 

  13. Legault G, Clement A, Kenny GP, Hardcastle S, Keller N. Cognitive consequences of sleep deprivation, shiftwork, and heat exposure for underground miners. Appl Ergon. 2017;58:144–50.

    Article  Google Scholar 

  14. Lutz EA, Reed RJ, Turner D, Littau SR. Occupational heat strain in a hot underground metal mine. J Occup Environ Med. 2014;56(4):388–96.

    Article  Google Scholar 

  15. Berriault CJ, Lightfoot NE, Seilkop SK, Conard BR. Injury mortality in a cohort of mining, smelting, and refining workers in Ontario. Arch Environ Occup Health. 2017;72(4):220–30.

    Article  Google Scholar 

  16. Tong R, Zhang Y, Yang Y, Jia Q, Ma X, Shao G. Evaluating targeted intervention on coal miners’ unsafe behavior. Int J Environ Res Public Health. 2019;16(3):422.

    Article  Google Scholar 

  17. Friedman LS, Almberg KS, Cohen RA. Injuries associated with long working hours among employees in the US mining industry: risk factors and adverse outcomes. Occup Environ Med. 2019;76(6):389–95.

    Article  Google Scholar 

  18. The Association of Chartered Certified Accountants (ACCA). Key Health challenges for Zambia. London: ACCA; 2013. https://www.accaglobal.com/content/dam/acca/global/PDF-technical/health-sector/tech-tp-khcz.pdf. Accessed 17 Jan 2021

    Google Scholar 

  19. International Labour Organization: ILO supports a partnership approach in the Zambian mining sector to create jobs and stimulate inclusive growth. https://www.ilo.org/empent/units/multinational-enterprises/WCMS_616811/lang%2D%2Den/index.htm. Accessed 17 Jan 2021.

  20. World Bank: World Bank Open Data. GDP growth (annual %) - Zambia. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=ZM (2019). Accessed 17 Jan 2021

  21. Human Right Watch. You will be fired if you refuse –labour abuses in Zambian’s Chinese state-owned copper mines. New York: Human Right Watch; 2011. https://www.hrw.org/sites/default/files/reports/zambia1111ForWebUpload.pdf. Accessed 17 Jan 2021.

  22. World Health Organizaion: Zambia HIV Country Profile: 2016. https://www.who.int/hiv/data/Country_profile_Zambia.pdf (2017). Accessed 17 Jan 2021.

  23. Bhattacherjee A, Kunar BM. Miners’ return to work following injuries in coal mines. Med Pr. 2016;67(6):729–42.

    Article  Google Scholar 

  24. Li Y, Sun X, Ge H, Liu J, Chen L. The status of occupational stress and its influence the quality of life of copper-nickel miners in Xinjiang, China. Int J Environ Res Public Health. 2019;16(3):353.

    Article  Google Scholar 

  25. Valletta R. Higher education, Wages, and Polarization. In: FRBSF Economic Letter. Federal Reserve Bank of San Francisco. 2015. frbsf.org/economic-research/files/el2015-02.pdf. Accessed 17 Jan 2021.

  26. Connell J, Brown RP. The remittances of migrant Tongan and Samoan nurses from Australia. Hum Resour Health. 2004;2(1):2.

    Article  Google Scholar 

  27. García-Pérez MA, Amaya C, Otero A. Physicians’ migration in Europe: an overview of the current situation. BMC Health Serv Res. 2007;7:201.

    Article  Google Scholar 

  28. Kaushik M, Jaiswal A, Shah N, Mahal A. High-end physician migration from India. Bull World Health Organ. 2008;86(1):40–5.

    Article  Google Scholar 

  29. Willis-Shattuck M, Bidwell P, Thomas S, Wyness L, Blaauw D, Ditlopo P. Motivation and retention of health workers in developing countries: a systematic review. BMC Health Serv Res. 2008;8:247.

    Article  Google Scholar 

  30. Honda A, Krucien N, Ryan M, Diouf ISN, Salla M, Nagai M. For more than money: willingness of health professionals to stay in remote Senegal. Hum Resour Health. 2019;17(1):28.

    Article  Google Scholar 

  31. Chen M. The effect of training on employee retention. International Conference on Global Economy, Commerce and Service Science, 2014. https://download.atlantis-press.com/article/11009.pdf. Accessed 17 Jan 2021.

    Google Scholar 

  32. Blustein DL, Olle C, Connors-Kellgren A, Diamonti AJ. Decent work: a psychological perspective. Front Psychol. 2016;7:407.

    Article  Google Scholar 

  33. International Labour Organization: Decent Work. https://www.ilo.org/global/topics/decent-work/lang%2D%2Den/index.htm (2019). Accessed 17 Jan 2021.

  34. Kozan S, Işık E, Blustein DL. Decent work and well-being among low-income Turkish employees: testing the psychology of working theory. J Couns Psychol. 2019;66(3):317–27.

    Article  Google Scholar 

  35. Miilunpalo S, Vuori I, Oja P, Pasanen M, Urponen H. Self-rated health status as a health measure: the predictive value of self-reported health status on the use of physician services and on mortality in the working-age population. J Clin Epidemiol. 1997;50(5):517–28.

    Article  CAS  Google Scholar 

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Acknowledgements

We wish to express our appreciation to the mineworkers who participated in this study. We are also grateful to the Mineworkers’ Union of Zambia and mining companies for their support and collaboration in this study.

Funding

This study was supported by the Japan Society for the Promotion of Science: Grant-in-Aid for Challenging Exploratory Research (Grant Number: 26671037).

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Contributions

MO and BT conceptualized and designed the study and collected data. MO, RN, EM, and WF analyzed and interpreted the data. MO drafted the manuscript. All authors contributed to the revisions. All authors read and approved the final manuscript.

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Correspondence to Mayumi Ohnishi.

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Ethics approval and consent to participate

The study was approved by the University of Zambia Biomedical Research Ethics Committee (authorization number: 002-10-15) and the Ethical Committees of Nagasaki University Graduate School of Biomedical Sciences (authorization number: 15042404).

Consent for publication

The study participants completed the questionnaire and deposited the completed questionnaire in the collection box after receiving verbal and written ethical explanations of the study’s purposes, methods, anonymous process of data collection and analysis, confidentiality, and publication. The authors deemed this action to represent consent to participate in the study. This research article does not include any individual participant data, such as images, videos, or voice recordings.

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The authors declare no conflict of interest in the publication of this article.

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Ohnishi, M., Tembo, B., Nakao, R. et al. Factors associated with self-rated health among mineworkers in Zambia: a cross-sectional study. Trop Med Health 49, 11 (2021). https://doi.org/10.1186/s41182-021-00300-8

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