| Literature DB >> 30558139 |
Sung-Shil Lim1,2, Jin-Ha Yoon3,4,5, Jeongbae Rhie6, Suk Won Bae7,8, Jihyun Kim9,10, Jong-Uk Won11,12,13.
Abstract
The epidemiology of occupational injuries is reported worldwide, but suspicions of under-reporting prevail, probably associated with free press. We examined the association between freedom of the press and lethality rate of occupational injuries based on the most comprehensive International Labour Organization database on labour statistics (ILOSTAT) among 39 countries. The occupational injury indices, national indicators, and information on freedom of the press in 2015 were sourced from ILOSTAT, World Bank open data, World Health Organization and Freedom House. The lethality rate was the number of fatal occupational injuries per 10,000 total occupational injuries. The relationship among fatal and total occupation injury rates, lethality rate, and national statistics were analysed using Spearman's rank correlation coefficients. Multivariable linear regression models with bootstrap estimation to manage non-normality determined freedom of the press associated with lethality rate. Freedom of the press was significantly correlated with fatal and total occupational injury rate and lethality rate of occupational injuries. Adjusting for national indicators, only freedom of the press was associated with lethality rate per 10,000 occupational injuries in the report of ILOSTAT. The lethality rate of occupational injury reported by each country might not reflect the actual lethality, but under-reported nonfatal occupational injuries, probably relating to freedom of the press.Entities:
Keywords: ILOSTAT; freedom of the press; national indicator; occupational injury; under-report
Mesh:
Year: 2018 PMID: 30558139 PMCID: PMC6313768 DOI: 10.3390/ijerph15122856
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Variable definitions and summary statistics in the year 2015 among 39 countries.
| Variables | Definition | Median (IQR) | Data Source |
|---|---|---|---|
| Lethality | Fatal occupational injuries | 29.5 (81.5) | calculated variable from ILOSTAT |
| Fatal | Fatal occupational injuries | 2.6 (2.0) | ILOSTAT |
| Total | Total occupational injuries | 744.9 (1484.6) | calculated variable from ILOSTAT |
| Data source | Insurance records = 0, Others = 1 | 0.6 a (0.5) | ILOSTAT |
| GDP per capita | GDP per capita (constant 2011 international $) | 27549.6 (15686.8) | World Bank |
| Health expenditure | Current health expenditure (CHE) | 7.4 (3.2) | WHO |
| Freedom of Press | Total score of Freedom | 28.0 (31.5) | Freedom House |
| Skill level 1 | Proportion of employment | 9.6 (4.7) | ILOSTAT |
| Female to male | Ratio of female to male labour | 80.3 (10.0) | ILOSTAT |
| Share of Industry | Share of industry b | 24.4 (7.6) | ILOSTAT |
a indicates the mean and standard deviation of data source; b industries included mining and quarrying, manufacturing, construction, and public utilities (electricity, gas, and water); interquartile ranges (IQR); International Labour Organization Database (ILOSTAT); gross domestic product (GDP); World Health Organization (WHO).
Figure 1The number of total and fatal occupational injuries per 100,000 workers of each country from the data of ILOSTAT in 2015. Note: The values of Costa Rica are not shown in figure for clarity (Costa Rica: total occupational injury rate = 8922.5; fatal occupational injury rate = 6.9). The grey line indicates the smooth nonparametric curve using a loess smoother (the loess span 0.75) and the grey shadow indicates the 95% confidence interval of smoothed curve. All data sourced from International Labour Organization Database (ILOSTAT) [18].
Figure 2Lethality rate per 10,000 occupational injuries of each country in 2015. Note: All data sourced from International Labour Organization Database (ILOSTAT) [18].
Figure 3Correlation matrix of summary statistics among 39 countries in 2015. Note: The number indicates the Spearman’s correlation coefficient between two statistics. If there is no colour filled in the box, it indicates that the association between the two variables is not statistically significant (p-value < 0.005).
Figure 4Freedom of the press and lethality rate per 10,000 occupational injuries of 39 countries in 2015. Note: All data sourced from International Labour Organization Database (ILOSTAT) [18] and Freedom House [23]. The grey line indicates the smooth nonparametric curve using a loess smoother (the loess span 0.75) and the grey shadow indicates the 95% confidence interval of smoothed curve.
The summary of regression coefficients and 95% confidence interval based on the bootstrap a.
| Variables | Original b | Bias c | S.E. d | 95% Percentile CI | 95% BCa CI |
|---|---|---|---|---|---|
| Data source | 125.6 | −6.8 | 124.5 | (−52.6–461.3) | (−94.5–381.0) |
| GDP per capita×0.001 | −7.5 | 0.2 | 5.8 | (−23.9–0.8) | (−19.3–2.2) |
| Health expenditure | 12.0 | 2.5 | 42.4 | (−45.5–127.4) | (−52.6–110.7) |
| Freedom of Press * | 7.2 | −0.1 | 3.1 | (3.1–17.2) | (2.0–14.1) |
| Skill level 1 | −8.6 | 1.9 | 19.9 | (−64.5–20.1) | (−49.0–26.5) |
| Female to male | 3.4 | 0.2 | 8.5 | (−21.8–16.2) | (−15.0–19.0) |
| Share of Industry | −14.3 | 3.3 | 15.6 | (−61.2–6.5) | (−44.8–12.7) |
a The number of bootstrap replicates = 10,000 among 39 countries in the year 2015; b indicates the regression coefficient using multiple linear regression; c indicates the difference between the mean of regression coefficient of 10,000 stored bootstrap samples and the original estimate of regression coefficient of multiple linear regression; d indicates the bootstrap estimated standard error; * indicates that regression coefficient is statistically significant in both methods on calculating 95% CI (percentile CI, BCa CI); gross domestic product (GDP).