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Copyright of Journal of Xi'an Jiaotong University is the property of Editorial Office of Journal of Xi'an Jiaotong University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background The mental health of employees in railway enterprises is related to the safety and stability of railway transportation. As an important factor affecting occupational mental health, job characteristics have attracted the attention of researchers. However, there exists a lack of job characteristic scales with occupational specificity in current researches relevant to the railway industry.Objective To develop a job characteristics questionnaire oriented to railway employees that takes both Job Demands-Resources Model（JD-R） and Chinese actual conditions into essential consideration, so as provide guidance for the research on the mental health of railway employees.Methods Purposive and theoretical samplings were used to select 77employees across 9 railway units as research objects, and interview method was used to conduct qualitative research in order to determine the structural dimensions and items of the questionnaire. The 612 subjects randomly selected from the railway maintenance system went through the preliminary test, then exploratory factor analysis and confirmatory factor analysis were employed to test the questionnaire. After forming a formal questionnaire on the job characteristics of railway employees, it is extended to the other four main industry systems of railway enterprises, responsible for locomotive maintenance, vehicle depot, signal and communication maintenance, and power supply respectively, to verify the stability and effectiveness.Results（1）Exploratory factor analysis showed that the questionnaire included two factors, job demands and job resources, with a total of 14 items. The factor loading of each item ranged from 0. 761 to 0. 916, and the two factors accounted for 71. 02% of the total variance. The results of confirmatory factor analysis indicated good fitting of the two-factor model （χ²/df=3. 310, RMSEA=0. 087, GFI=0. 892, CFI=0. 932, NFI=0. 905, IFI=0. 932）.（2） Confirmatory factor analysis was carried out in four extended samples of locomotive maintenance, vehicle depot, signal and communication maintenance, and power supply, and each result indicated a satisfactory model fit（χ~2/df=2. 678, 4. 741, 4. 868, 3. 502, RMSEA=0. 109, 0. 096, 0. 093, 0. 084,GFI=0. 832, 0. 878, 0. 894, 0. 904,NFI=0. 874, 0. 935, 0. 902, 0. 928,IFI=0. 917, 0. 948, 0. 920, 0. 947）.（3）Job demands in five sub-samples can positively predict job burnout and turnover intention（β =0. 564～0. 686, 0. 425～0. 554, P＜0. 01）. Job resources in five sub-samples can positively predict job performance and job satisfaction（β=0. 594～0. 752, 0. 731～0. 807, P＜0. 01）, and it can also negatively predict job burnout and turnover intention（β =-0. 247～-0. 186,-0. 357～-0. 175,P＜0. 05 or 0. 01）. In sub-samples of locomotive maintenance and power supply, job demands can positively predict job performance（β=0. 242,0. 261, P＜0. 01）. In sub-samples of railway maintenance and signal and communication maintenance, job demands can negatively predict job satisfaction（β =-0. 065,-0. 091, P＜0. 01）.Conclusion The questionnaire has good reliability and validity, and is applicable for the study of occupational mental health research on railway employees. [ABSTRACT FROM AUTHOR]

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Shipin Kexue/ Food Science is the property of Food Science Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)