Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study
Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal rela...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nielsen, Morten Birkeland [verfasserIn] Tvedt, Sturle Danielsen [verfasserIn] Matthiesen, Stig Berge [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2012 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: International archives of occupational and environmental health - Berlin : Springer, 1930, 86(2012), 8 vom: 26. Okt., Seite 875-885 |
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| Übergeordnetes Werk: |
volume:86 ; year:2012 ; number:8 ; day:26 ; month:10 ; pages:875-885 |
| Links: |
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| DOI / URN: |
10.1007/s00420-012-0825-x |
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SPR005494591 |
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| 245 | 1 | 0 | |a Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study |
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| 520 | |a Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. | ||
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| 700 | 1 | |a Matthiesen, Stig Berge |e verfasserin |4 aut | |
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10.1007/s00420-012-0825-x doi (DE-627)SPR005494591 (SPR)s00420-012-0825-x-e DE-627 ger DE-627 rakwb eng 610 ASE 44.12 bkl 44.13 bkl Nielsen, Morten Birkeland verfasserin aut Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 Tvedt, Sturle Danielsen verfasserin aut Matthiesen, Stig Berge verfasserin aut Enthalten in International archives of occupational and environmental health Berlin : Springer, 1930 86(2012), 8 vom: 26. Okt., Seite 875-885 (DE-627)25372421X (DE-600)1459213-7 1432-1246 nnns volume:86 year:2012 number:8 day:26 month:10 pages:875-885 https://dx.doi.org/10.1007/s00420-012-0825-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.12 ASE 44.13 ASE AR 86 2012 8 26 10 875-885 |
| spelling |
10.1007/s00420-012-0825-x doi (DE-627)SPR005494591 (SPR)s00420-012-0825-x-e DE-627 ger DE-627 rakwb eng 610 ASE 44.12 bkl 44.13 bkl Nielsen, Morten Birkeland verfasserin aut Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 Tvedt, Sturle Danielsen verfasserin aut Matthiesen, Stig Berge verfasserin aut Enthalten in International archives of occupational and environmental health Berlin : Springer, 1930 86(2012), 8 vom: 26. Okt., Seite 875-885 (DE-627)25372421X (DE-600)1459213-7 1432-1246 nnns volume:86 year:2012 number:8 day:26 month:10 pages:875-885 https://dx.doi.org/10.1007/s00420-012-0825-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.12 ASE 44.13 ASE AR 86 2012 8 26 10 875-885 |
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10.1007/s00420-012-0825-x doi (DE-627)SPR005494591 (SPR)s00420-012-0825-x-e DE-627 ger DE-627 rakwb eng 610 ASE 44.12 bkl 44.13 bkl Nielsen, Morten Birkeland verfasserin aut Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 Tvedt, Sturle Danielsen verfasserin aut Matthiesen, Stig Berge verfasserin aut Enthalten in International archives of occupational and environmental health Berlin : Springer, 1930 86(2012), 8 vom: 26. Okt., Seite 875-885 (DE-627)25372421X (DE-600)1459213-7 1432-1246 nnns volume:86 year:2012 number:8 day:26 month:10 pages:875-885 https://dx.doi.org/10.1007/s00420-012-0825-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.12 ASE 44.13 ASE AR 86 2012 8 26 10 875-885 |
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10.1007/s00420-012-0825-x doi (DE-627)SPR005494591 (SPR)s00420-012-0825-x-e DE-627 ger DE-627 rakwb eng 610 ASE 44.12 bkl 44.13 bkl Nielsen, Morten Birkeland verfasserin aut Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 Tvedt, Sturle Danielsen verfasserin aut Matthiesen, Stig Berge verfasserin aut Enthalten in International archives of occupational and environmental health Berlin : Springer, 1930 86(2012), 8 vom: 26. Okt., Seite 875-885 (DE-627)25372421X (DE-600)1459213-7 1432-1246 nnns volume:86 year:2012 number:8 day:26 month:10 pages:875-885 https://dx.doi.org/10.1007/s00420-012-0825-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.12 ASE 44.13 ASE AR 86 2012 8 26 10 875-885 |
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10.1007/s00420-012-0825-x doi (DE-627)SPR005494591 (SPR)s00420-012-0825-x-e DE-627 ger DE-627 rakwb eng 610 ASE 44.12 bkl 44.13 bkl Nielsen, Morten Birkeland verfasserin aut Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study 2012 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 Tvedt, Sturle Danielsen verfasserin aut Matthiesen, Stig Berge verfasserin aut Enthalten in International archives of occupational and environmental health Berlin : Springer, 1930 86(2012), 8 vom: 26. Okt., Seite 875-885 (DE-627)25372421X (DE-600)1459213-7 1432-1246 nnns volume:86 year:2012 number:8 day:26 month:10 pages:875-885 https://dx.doi.org/10.1007/s00420-012-0825-x lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.12 ASE 44.13 ASE AR 86 2012 8 26 10 875-885 |
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Nielsen, Morten Birkeland @@aut@@ Tvedt, Sturle Danielsen @@aut@@ Matthiesen, Stig Berge @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR005494591</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519192118.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2012 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00420-012-0825-x</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR005494591</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00420-012-0825-x-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.12</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.13</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Nielsen, Morten Birkeland</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2012</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. 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610 ASE 44.12 bkl 44.13 bkl Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study Workplace stress (dpeaa)DE-He213 Mental health (dpeaa)DE-He213 Prospective (dpeaa)DE-He213 Leadership (dpeaa)DE-He213 Bullying (dpeaa)DE-He213 |
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prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study |
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Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study |
| abstract |
Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. |
| abstractGer |
Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. |
| abstract_unstemmed |
Objectives This study investigates the prevalence of psychological distress and stressors in the work environment as prospective predictors of distress, among employees in the offshore petroleum industry. Methods Correlation and logistic regression analyses were employed to examine longitudinal relationships between stressors and distress in a randomly drawn sample of 741 employees from the Norwegian petroleum offshore industry. Time lag between baseline and follow-up was 6 months. Work environment stressors included safety factors, leadership, and job characteristics. Results The prevalence of psychological distress was 9 % at baseline and 8 % at follow-up. All investigated work environment factors correlated with subsequent distress. In bivariate logistic regression analyses, caseness of distress was predicted by baseline distress, near miss accidents, risk perception, poor safety climate, tyrannical leadership, laissez-faire leadership, job demands, and workplace bullying. After adjustment for baseline distress, control variables, and other predictors, laissez-faire leadership (OR = 1.69; 95 % CI: 1.12–2.54) and exposure to bullying (OR = 1.49; 95 % CI: 1.07–2.10) emerged as the most robust predictors of subsequent distress. Conclusions The findings show that the prevalence of psychological distress is lower among offshore employees than in the general population. Although offshore workers operate in a physically challenging context, their mental health is mainly influenced by stressors in the psychosocial work environment. This highlights the importance of developing and implementing psychosocial safety interventions within the offshore industry. |
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| title_short |
Prevalence and occupational predictors of psychological distress in the offshore petroleum industry: a prospective study |
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https://dx.doi.org/10.1007/s00420-012-0825-x |
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Tvedt, Sturle Danielsen Matthiesen, Stig Berge |
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10.1007/s00420-012-0825-x |
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2024-07-03T16:43:22.908Z |
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| score |
7.3984203 |