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

DOI: https://doi.org/10.21203/rs.3.rs-104586/v1

Abstract

Background

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

Methods

A self-administered questionnaire was conducted anonymously among copper mineworkers in Zambia in 2015 and 2016.

Results

In total, 285 of 330 responses were analyzed. Regular employees had better working conditions, including higher incomes (t-test, P = 0.011), guaranteed paid holidays (chi-square test, P = 0.045), health check-ups (chi-square test, P = 0.023) and sickness insurance (chi-square test, P < 0.001), than contract employees. Mineworkers’ increased self-rated health was determined by an educational status of having completed secondary school (adjusted odds ratio [AOR]: 3.406; 95% confidence interval [CI]: 1.072, 10.822; P = 0.038). Moreover, job category, such as working underground (AOR: 0.338; 95% CI: 0.173, 0.663; P = 0.002), and having experienced violence (AOR: 0.472; 95% CI: 0.035, 0.948; P = 0.035) were negatively associated with good self-rated health in the logistic regression analysis, regardless of employment status.

Conclusions

Among mineworkers in Zambia, non-underground work and not having experienced violence from their boss 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 United States 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 United States, 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 multi-faceted 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 paid to risk prevention, health promotion and health literacy. In addition, we have limited information regarding training opportunities on 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 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, 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, 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 working place and training opportunities by employment status using IBM SPSS (ver. 22). The significance level was set at 5%.

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 = 0.045).

Table 1

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

 

Regular employees

(n = 213)

Contract employees

(n = 125)

P-value

mean (SD)

mean (SD)

n

%

n

%

Age (years)

39.4 (8.1)

36.1 (9.0)

0.001 a

Educational status

         

Did not complete high school

22

10.5

20

16.0

0.523 b

Completed high school

102

48.6

53

42.4

 

Completed college/university

86

41.0

52

41.6

 

Religion

         

Roman Catholic

55

26.6

35

28.5

0.280

Protestant/Other Christian

138

66.7

74

60.2

 

Muslim/Others

14

6.8

14

11.4

 

Marital status

         

Single/not living with a partner

18

8.6

45

36.6

< 0.001

Married/living with a partner

192

91.4

79

63.7

 

Smoking

         

No

199

93.9

112

90.3

0.232

Yes

13

6.1

12

9.7

 

Alcohol consumption

         

No

115

55.0

54

43.5

0.043

Yes

94

45.0

70

56.5

 

Playing sports as leisure/exercise

         

No

34

16.1

26

20.8

0.278

Yes

177

83.9

99

79.2

 
A t-test a, chi-square test or Cochran-Armitage test b was conducted.
Missing values were excluded from the analysis.

Table 2 shows the heath 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) and to be guaranteed 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 of regular workers (mean ± standard deviation: 4681 ± 1994) was higher than that of contract workers (3594 ± 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)

 

Regular employees

(n = 213)

Contract employees

(n = 125)

P-value

mean (SD)

mean (SD)

n

%

n

%

Job category

         

Non-underground work

102

47.9

87

69.6

< 0.001

Underground work

111

52.1

38

30.4

 

Years of working

13.9 (8.0)

10.0 (8.0)

< 0.001 a

Income per month (Kwacha)

4681 (1994)

3594 (3197)

< 0.001 a

Working hours per week

         

40 hours or more

176

85.4

103

85.1

0.938

Less than 40 hours

30

14.6

18

14.9

 

Nightshift work

         

No

108

50.9

62

50.8

0.983

Yes

104

49.1

60

49.2

 

Overtime work

         

No

70

33.2

45

39.1

0.282

Yes

141

66.8

70

60.9

 

Breaks during work

         

No break

50

25.9

23

18.9

0.113

Every 1 to 3 hours

56

29.0

31

25.4

 

Once (30 min to 1 hour) per shift

50

25.9

47

28.5

 

Others

37

19.2

21

17.2

 

Provided a meal/snack at workplace

         

No

94

46.3

23

19.2

< 0.001

Yes

109

53.7

97

80.8

 

Guaranteed paid holidays

         

No paid holidays

31

17.6

27

25.7

0.094 b

Less than 20 days

22

12.5

18

17.1

 

20 days or more

123

69.9

60

57.1

 

Took a paid holiday in the last year

         

No

63

33.7

47

45.6

0.045

Yes

124

66.3

56

54.4

 

Sickness insurance provided by the company

         

No

43

21.4

60

52.2

< 0.001

Yes

158

78.6

55

47.8

 

Guaranteed sick leave

         

No

61

31.6

46

42.2

0.064

Yes

132

68.4

63

57.8

 

Experience of taking sick leave

         

No

114

60.6

64

58.7

0.744

Yes

74

39.4

45

41.3

 
A t-test a, chi-square test or Cochran-Armitage test b was conducted.
Missing values were excluded from the analysis.
c: 1 US$ = approximately 9.8 Zambian Kwacha at the time of data collection.

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. 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 3

Health conditions and health- and safety-related conditions in the workplace (n = 338)

 

Regular employees

(n = 213)

Contract employees

(n = 125)

P-value

n

%

n

%

 

Self-rated health

         

Average/bad

58

27.9

31

25.4

0.625

Very good/good

150

72.1

91

74.6

 

Availability of health check-ups by the company

         

No

24

11.8

22

18.2

0.113

Yes

179

88.2

99

81.8

 

Received a health check-up in the last year

         

No

25

12.0

13

10.7

0.078

Yes, by the company

168

80.4

90

73.8

 

Yes, by self-provision

16

7.7

19

15.6

 

Occurrence of a health problem/concern

         

No

130

66.7

74

63.2

0.539

Yes

65

33.3

43

36.8

 

Experienced an accident in the workplace

         

No

63

70.0

45

77.6

0.310

Yes

27

30.0

13

22.4

 

Experienced violence from the boss

         

No

99

50.8

53

46.9

0.513

Yes

96

49.2

60

53.1

 

Experienced violence from colleagues

         

No

142

72.8

78

69.6

0.552

Yes

53

27.2

34

30.4

 

Supervision in the workplace

         

No

41

19.7

16

13.3

0.142

Yes

167

80.3

104

86.7

 

Self-evaluation of safety of the workplace

         

Not safe

63

31.0

30

25.0

0.247

Safe

140

69.0

90

75.0

 
Chi-square tests were conducted.
Missing values were excluded from the analysis.

Table 4

Training opportunities (n = 338)

 

Regular employees

(n = 213)

Contract employees

(n = 125)

P-value

n

%

n

%

Training when the employees began work

         

Working conditions

         

No

124

62.9

90

80.4

0.001

Yes

73

37.1

22

19.6

 

Working skills

         

No

150

76.1

95

84.8

0.070

Yes

47

23.9

17

15.2

 

How to use equipment for work

         

No

156

79.2

89

79.5

0.954

Yes

41

20.8

23

20.5

 

Safety in the workplace

         

No

98

49.7

41

36.6

0.026

Yes

99

50.3

71

63.4

 

Health

         

No

153

77.7

96

85.7

0.086

Yes

44

22.3

16

14.3

 

Training about safety management in the workplace after starting work

         

No

10

5.0

6

5.1

0.952

Yes

191

95.0

111

94.9

 
Chi-square tests were conducted.
Missing values were excluded from the analysis.

Table 5 shows the factors associated with self-rated health. Regardless of employment status, working underground (adjusted odds ratio [AOR]: 0.458; 95% confidence interval [CI]: 0.227, 0.923; P = 0.029) 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 was negatively associated with better self-rated health in the crude odds ratio (OR: 0.542; 95% CI: 0.323, 0.907; P = 0.020).

Table 5

Factors associated with the self-rated health among mine workers (n = 235)

 

OR

95% CI

P-value

AOR

95% CI

P-value

Age (continuous valuable)

0.977

0.949, 1.006

0.121

0.990

0.948, 1.033

0.641

Income per month (Kwacha)

1.013

0.573, 1.788

0.966

1.000

1.000, 1.000

0.929

Educational status

           

Did not complete high school

1

   

1

   

Completed high school

2.641

1.272, 5.484

0.009

2.338

0.825, 6.625

0.110

Completed college/university

2.812

1.337, 5.916

0.006

2.390

0.823, 6.940

0.109

Employment status

           

Regular employees

1

   

1

   

Contract employees

1.135

0.683, 1.886

0.625

1.061

0.468, 2.402

0.888

Job category

           

Non-underground work

1

   

1

   

Underground work

0.412

0.251, 0.677

< 0.001

0.458

0.227, 0.923

0.029

Provided a meal/snack at the workplace

           

No

1

   

1

   

Yes

2.126

1.287, 3.514

0.003

1.536

0.765, 3.087

0.228

Guaranteed paid holidays

           

No paid holidays

1

   

1

   

Less than 20 days

1.071

0.424, 2.708

0.884

1.032

0.324, 3.285

0.958

20 days or more

0.977

0.498, 1.917

0.945

0.730

0.312, 1.711

0.469

Sickness insurance provided by the company

           

No

1

   

1

   

Yes

1.657

0.983, 2.793

0.058

1.933

0.870, 4.296

0.106

Experienced violence from the boss

           

No

1

   

1

   

Yes

0.542

0.323, 0.907

0.020

0.685

0.344, 1.366

0.283

Supervision in the workplace

           

No

1

   

1

   

Yes

2.852

1.572, 5.172

0.001

2.107

0.919, 4.830

0.078

A logistic regression analysis was conducted. Missing values were excluded from the analysis.

The free description spaces included 9 statements related to supervision, 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”. There were also 25 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”. Regarding working conditions, including salary/payment (45 statements), holidays/leave (8 statements), and safety in the workplace (96 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 don't have enough rest. The company has no salary structure; hence, people are not paid according to their qualifications”.

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, 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. Additionally, 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 policy making 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 were 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 key factors for retaining employees. 31 Additionally, training opportunities, especially entry training at the start of employment at the 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 policy making 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 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 obtained from a representative population of mineworkers in Zambia.

Conclusions

The findings from this study demonstrated that accidents and harassment/violence committed by a boss in the workplace were common in mining companies. Among mineworkers in Zambia, non-underground work and not having experienced violence from the boss 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.

Abbreviations

AIDS: Acquired Immunodeficiency Syndrome; AOR: Adjusted Odds Ratio; CI: Confidence Interval; HIV: Human Immunodeficiency Virus; ILO: International Labor Organization

Declarations

Acknowledgments:

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

Authors’ 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.

Funding:

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

Availability of data and materials:

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

Ethical 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 (ethics, consent and permissions):

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.

Competing interests:

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

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