L mine is rarely as safe as working in an office [30, 31]. Most researches on occupational injury of coal mining enterprises in China have focused on death and serious injury. However, nonfatal injury accounted for the majority in the occupational harm. Some Isoarnebin 4 clinical trials surveys showed that the proportion of minor injury, serious injury, and death was 350: 23: 1 [24, 32]. Therefore, this study aimed to assess fpsyg.2017.00209 the relationships of risk factors, including Fruquintinib price gender, age, education, marital status, monthly income, living habits, BMI, work type, workplace, length of shiftwork experience, work duration, job satisfaction, job burnout and EPQ-RSC, with the incidence of nonfatal occupational injury in coal mine workers from a large-scale coal enterprise in jir.2014.0227 northern Shanxi Province. Logistic regression was used in the cross-sectional study to compute OR and 95 CI. The results will help to reduce the occurrence of occupational injuries by suggesting some get LCZ696 potential prevention and control measures.Materials and MethodsThis cross-sectional study was conducted on workers from a large coal mine group located in the north of Shanxi Province, with the coal field covering 6157 square kilometers and the total coal reserves being 89.2 billion tons. The management of the coal mine group provided us the baseline data which contains gender, date of birth, work type for the development of the sampling frame. According to the Sodium lasalocidMedChemExpress Sodium lasalocid targets, the study used a two-stage cluster sampling method. In the first stage, we randomly sampled 10 coal mines from 87 coal mines of three coal group areas (Pingwang Region, Kouquan Trench, Yungang Trench) as the primary sampling unit (PSU). In the second stage, a stratified random sampling method was applied to select participants by gender, age and the type of work. Considering the acceptable absolute difference of 0.01 between the sample and the population prevalence, type I error of 0.05, and confidence interval (1-) of 0.95, a sample size of 4154 deliveries will be necessary, according to the following formula: 2 U p? ?p?n?d2 n nc ?1 ?n=N nc ?4154 Where, U is the two-tailed standard normal variate value related to the null hypothesis, and is the injury rate, is allowable error. N is the population of the coal mine group.PLOS ONE | DOI:10.1371/journal.pone.0134367 July 31,3 /The Risk Factors of Nonfatal Occupational Injury in the Coal WorkersTaking into considerations on the potential of lost to follow up and withdraw from the study, we aimed to survey 4400 coal miners. A pilot study was implemented for a feasibility analysis. With respect to the formal research, the interviews were processed 5 days a week and about 300 participants were investigated each week. The management of the organization contacted the involved workers two days before the interview and made a rough survey time schedule. Eight trained interviewers having necessary medical knowledge conducted face-to-face interviews with the participants. The interview for each person required a time span of 40 min in their workplace. The survey used an anonymous questionnaire based on previous relatedliterature [20, 24, 33]. It comprised three components: (1) general information: gender, date of birth, weight, height, educational level, marital status, work type, workplace, work duration (current employment), length of shiftwork experience (the mines operate seven days a week and three shifts per day for coal production), work dangerousness (self-reported), smoking status (current smoke.L mine is rarely as safe as working in an office [30, 31]. Most researches on occupational injury of coal mining enterprises in China have focused on death and serious injury. However, nonfatal injury accounted for the majority in the occupational harm. Some surveys showed that the proportion of minor injury, serious injury, and death was 350: 23: 1 [24, 32]. Therefore, this study aimed to assess fpsyg.2017.00209 the relationships of risk factors, including gender, age, education, marital status, monthly income, living habits, BMI, work type, workplace, length of shiftwork experience, work duration, job satisfaction, job burnout and EPQ-RSC, with the incidence of nonfatal occupational injury in coal mine workers from a large-scale coal enterprise in jir.2014.0227 northern Shanxi Province. Logistic regression was used in the cross-sectional study to compute OR and 95 CI. The results will help to reduce the occurrence of occupational injuries by suggesting some potential prevention and control measures.Materials and MethodsThis cross-sectional study was conducted on workers from a large coal mine group located in the north of Shanxi Province, with the coal field covering 6157 square kilometers and the total coal reserves being 89.2 billion tons. The management of the coal mine group provided us the baseline data which contains gender, date of birth, work type for the development of the sampling frame. According to the targets, the study used a two-stage cluster sampling method. In the first stage, we randomly sampled 10 coal mines from 87 coal mines of three coal group areas (Pingwang Region, Kouquan Trench, Yungang Trench) as the primary sampling unit (PSU). In the second stage, a stratified random sampling method was applied to select participants by gender, age and the type of work. Considering the acceptable absolute difference of 0.01 between the sample and the population prevalence, type I error of 0.05, and confidence interval (1-) of 0.95, a sample size of 4154 deliveries will be necessary, according to the following formula: 2 U p? ?p?n?d2 n nc ?1 ?n=N nc ?4154 Where, U is the two-tailed standard normal variate value related to the null hypothesis, and is the injury rate, is allowable error. N is the population of the coal mine group.PLOS ONE | DOI:10.1371/journal.pone.0134367 July 31,3 /The Risk Factors of Nonfatal Occupational Injury in the Coal WorkersTaking into considerations on the potential of lost to follow up and withdraw from the study, we aimed to survey 4400 coal miners. A pilot study was implemented for a feasibility analysis. With respect to the formal research, the interviews were processed 5 days a week and about 300 participants were investigated each week. The management of the organization contacted the involved workers two days before the interview and made a rough survey time schedule. Eight trained interviewers having necessary medical knowledge conducted face-to-face interviews with the participants. The interview for each person required a time span of 40 min in their workplace. The survey used an anonymous questionnaire based on previous relatedliterature [20, 24, 33]. It comprised three components: (1) general information: gender, date of birth, weight, height, educational level, marital status, work type, workplace, work duration (current employment), length of shiftwork experience (the mines operate seven days a week and three shifts per day for coal production), work dangerousness (self-reported), smoking status (current smoke.L mine is rarely as safe as working in an office [30, 31]. Most researches on occupational injury of coal mining enterprises in China have focused on death and serious injury. However, nonfatal injury accounted for the majority in the occupational harm. Some surveys showed that the proportion of minor injury, serious injury, and death was 350: 23: 1 [24, 32]. Therefore, this study aimed to assess fpsyg.2017.00209 the relationships of risk factors, including gender, age, education, marital status, monthly income, living habits, BMI, work type, workplace, length of shiftwork experience, work duration, job satisfaction, job burnout and EPQ-RSC, with the incidence of nonfatal occupational injury in coal mine workers from a large-scale coal enterprise in jir.2014.0227 northern Shanxi Province. Logistic regression was used in the cross-sectional study to compute OR and 95 CI. The results will help to reduce the occurrence of occupational injuries by suggesting some potential prevention and control measures.Materials and MethodsThis cross-sectional study was conducted on workers from a large coal mine group located in the north of Shanxi Province, with the coal field covering 6157 square kilometers and the total coal reserves being 89.2 billion tons. The management of the coal mine group provided us the baseline data which contains gender, date of birth, work type for the development of the sampling frame. According to the targets, the study used a two-stage cluster sampling method. In the first stage, we randomly sampled 10 coal mines from 87 coal mines of three coal group areas (Pingwang Region, Kouquan Trench, Yungang Trench) as the primary sampling unit (PSU). In the second stage, a stratified random sampling method was applied to select participants by gender, age and the type of work. Considering the acceptable absolute difference of 0.01 between the sample and the population prevalence, type I error of 0.05, and confidence interval (1-) of 0.95, a sample size of 4154 deliveries will be necessary, according to the following formula: 2 U p? ?p?n?d2 n nc ?1 ?n=N nc ?4154 Where, U is the two-tailed standard normal variate value related to the null hypothesis, and is the injury rate, is allowable error. N is the population of the coal mine group.PLOS ONE | DOI:10.1371/journal.pone.0134367 July 31,3 /The Risk Factors of Nonfatal Occupational Injury in the Coal WorkersTaking into considerations on the potential of lost to follow up and withdraw from the study, we aimed to survey 4400 coal miners. A pilot study was implemented for a feasibility analysis. With respect to the formal research, the interviews were processed 5 days a week and about 300 participants were investigated each week. The management of the organization contacted the involved workers two days before the interview and made a rough survey time schedule. Eight trained interviewers having necessary medical knowledge conducted face-to-face interviews with the participants. The interview for each person required a time span of 40 min in their workplace. The survey used an anonymous questionnaire based on previous relatedliterature [20, 24, 33]. It comprised three components: (1) general information: gender, date of birth, weight, height, educational level, marital status, work type, workplace, work duration (current employment), length of shiftwork experience (the mines operate seven days a week and three shifts per day for coal production), work dangerousness (self-reported), smoking status (current smoke.L mine is rarely as safe as working in an office [30, 31]. Most researches on occupational injury of coal mining enterprises in China have focused on death and serious injury. However, nonfatal injury accounted for the majority in the occupational harm. Some surveys showed that the proportion of minor injury, serious injury, and death was 350: 23: 1 [24, 32]. Therefore, this study aimed to assess fpsyg.2017.00209 the relationships of risk factors, including gender, age, education, marital status, monthly income, living habits, BMI, work type, workplace, length of shiftwork experience, work duration, job satisfaction, job burnout and EPQ-RSC, with the incidence of nonfatal occupational injury in coal mine workers from a large-scale coal enterprise in jir.2014.0227 northern Shanxi Province. Logistic regression was used in the cross-sectional study to compute OR and 95 CI. The results will help to reduce the occurrence of occupational injuries by suggesting some potential prevention and control measures.Materials and MethodsThis cross-sectional study was conducted on workers from a large coal mine group located in the north of Shanxi Province, with the coal field covering 6157 square kilometers and the total coal reserves being 89.2 billion tons. The management of the coal mine group provided us the baseline data which contains gender, date of birth, work type for the development of the sampling frame. According to the targets, the study used a two-stage cluster sampling method. In the first stage, we randomly sampled 10 coal mines from 87 coal mines of three coal group areas (Pingwang Region, Kouquan Trench, Yungang Trench) as the primary sampling unit (PSU). In the second stage, a stratified random sampling method was applied to select participants by gender, age and the type of work. Considering the acceptable absolute difference of 0.01 between the sample and the population prevalence, type I error of 0.05, and confidence interval (1-) of 0.95, a sample size of 4154 deliveries will be necessary, according to the following formula: 2 U p? ?p?n?d2 n nc ?1 ?n=N nc ?4154 Where, U is the two-tailed standard normal variate value related to the null hypothesis, and is the injury rate, is allowable error. N is the population of the coal mine group.PLOS ONE | DOI:10.1371/journal.pone.0134367 July 31,3 /The Risk Factors of Nonfatal Occupational Injury in the Coal WorkersTaking into considerations on the potential of lost to follow up and withdraw from the study, we aimed to survey 4400 coal miners. A pilot study was implemented for a feasibility analysis. With respect to the formal research, the interviews were processed 5 days a week and about 300 participants were investigated each week. The management of the organization contacted the involved workers two days before the interview and made a rough survey time schedule. Eight trained interviewers having necessary medical knowledge conducted face-to-face interviews with the participants. The interview for each person required a time span of 40 min in their workplace. The survey used an anonymous questionnaire based on previous relatedliterature [20, 24, 33]. It comprised three components: (1) general information: gender, date of birth, weight, height, educational level, marital status, work type, workplace, work duration (current employment), length of shiftwork experience (the mines operate seven days a week and three shifts per day for coal production), work dangerousness (self-reported), smoking status (current smoke.
