Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries

Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Maria Luisa Salas [verfasserIn] Steve Quezada [verfasserIn] Armando Basagoitia [verfasserIn] Tamara Fernandez [verfasserIn] Ronald Herrera [verfasserIn] Manuel Parra [verfasserIn] Daniel Moraga Muñoz [verfasserIn] Matthias Weigl [verfasserIn] Katja Radon [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Schlagwörter:	developing countries epidemiology Karasek mental health precarious employment

Übergeordnetes Werk:	In: Annals of Global Health - Ubiquity Press, 2018, 81(2015), 4, Seite 465-474
Übergeordnetes Werk:	volume:81 ; year:2015 ; number:4 ; pages:465-474

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.aogh.2015.06.002

Katalog-ID:	DOAJ070838186

Internformat


LEADER	01000caa a22002652 4500
001	DOAJ070838186
003	DE-627
005	20230309094732.0
007	cr uuu---uuuuu
008	230228s2015 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1016/j.aogh.2015.06.002 \|2 doi
035			\|a (DE-627)DOAJ070838186
035			\|a (DE-599)DOAJ568e86c812f84e15b92b06f184192411
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
050		0	\|a RC109-216
050		0	\|a RA1-1270
100	0		\|a Maria Luisa Salas \|e verfasserin \|4 aut
245	1	0	\|a Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
264		1	\|c 2015
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.
650		4	\|a developing countries
650		4	\|a epidemiology
650		4	\|a Karasek
650		4	\|a mental health
650		4	\|a precarious employment
653		0	\|a Infectious and parasitic diseases
653		0	\|a Public aspects of medicine
700	0		\|a Steve Quezada \|e verfasserin \|4 aut
700	0		\|a Armando Basagoitia \|e verfasserin \|4 aut
700	0		\|a Tamara Fernandez \|e verfasserin \|4 aut
700	0		\|a Ronald Herrera \|e verfasserin \|4 aut
700	0		\|a Manuel Parra \|e verfasserin \|4 aut
700	0		\|a Daniel Moraga Muñoz \|e verfasserin \|4 aut
700	0		\|a Matthias Weigl \|e verfasserin \|4 aut
700	0		\|a Katja Radon \|e verfasserin \|4 aut
773	0	8	\|i In \|t Annals of Global Health \|d Ubiquity Press, 2018 \|g 81(2015), 4, Seite 465-474 \|w (DE-627)82610410X \|w (DE-600)2821756-1 \|x 22149996 \|7 nnns
773	1	8	\|g volume:81 \|g year:2015 \|g number:4 \|g pages:465-474
856	4	0	\|u https://doi.org/10.1016/j.aogh.2015.06.002 \|z kostenfrei
856	4	0	\|u https://doaj.org/article/568e86c812f84e15b92b06f184192411 \|z kostenfrei
856	4	0	\|u https://annalsofglobalhealth.org/articles/1482 \|z kostenfrei
856	4	2	\|u https://doaj.org/toc/2214-9996 \|y Journal toc \|z kostenfrei
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_DOAJ
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_95
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_206
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_602
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4367
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 81 \|j 2015 \|e 4 \|h 465-474

Indexfelder

author_variant	m l s mls s q sq a b ab t f tf r h rh m p mp d m m dmm m w mw k r kr
matchkey_str	article:22149996:2015----::okncniinwrpaeilnenpyhlgclitesnneniescoseto
hierarchy_sort_str	2015
callnumber-subject-code	RC
publishDate	2015
allfields	10.1016/j.aogh.2015.06.002 doi (DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411 DE-627 ger DE-627 rakwb eng RC109-216 RA1-1270 Maria Luisa Salas verfasserin aut Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine Steve Quezada verfasserin aut Armando Basagoitia verfasserin aut Tamara Fernandez verfasserin aut Ronald Herrera verfasserin aut Manuel Parra verfasserin aut Daniel Moraga Muñoz verfasserin aut Matthias Weigl verfasserin aut Katja Radon verfasserin aut In Annals of Global Health Ubiquity Press, 2018 81(2015), 4, Seite 465-474 (DE-627)82610410X (DE-600)2821756-1 22149996 nnns volume:81 year:2015 number:4 pages:465-474 https://doi.org/10.1016/j.aogh.2015.06.002 kostenfrei https://doaj.org/article/568e86c812f84e15b92b06f184192411 kostenfrei https://annalsofglobalhealth.org/articles/1482 kostenfrei https://doaj.org/toc/2214-9996 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2015 4 465-474
spelling	10.1016/j.aogh.2015.06.002 doi (DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411 DE-627 ger DE-627 rakwb eng RC109-216 RA1-1270 Maria Luisa Salas verfasserin aut Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine Steve Quezada verfasserin aut Armando Basagoitia verfasserin aut Tamara Fernandez verfasserin aut Ronald Herrera verfasserin aut Manuel Parra verfasserin aut Daniel Moraga Muñoz verfasserin aut Matthias Weigl verfasserin aut Katja Radon verfasserin aut In Annals of Global Health Ubiquity Press, 2018 81(2015), 4, Seite 465-474 (DE-627)82610410X (DE-600)2821756-1 22149996 nnns volume:81 year:2015 number:4 pages:465-474 https://doi.org/10.1016/j.aogh.2015.06.002 kostenfrei https://doaj.org/article/568e86c812f84e15b92b06f184192411 kostenfrei https://annalsofglobalhealth.org/articles/1482 kostenfrei https://doaj.org/toc/2214-9996 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2015 4 465-474
allfields_unstemmed	10.1016/j.aogh.2015.06.002 doi (DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411 DE-627 ger DE-627 rakwb eng RC109-216 RA1-1270 Maria Luisa Salas verfasserin aut Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine Steve Quezada verfasserin aut Armando Basagoitia verfasserin aut Tamara Fernandez verfasserin aut Ronald Herrera verfasserin aut Manuel Parra verfasserin aut Daniel Moraga Muñoz verfasserin aut Matthias Weigl verfasserin aut Katja Radon verfasserin aut In Annals of Global Health Ubiquity Press, 2018 81(2015), 4, Seite 465-474 (DE-627)82610410X (DE-600)2821756-1 22149996 nnns volume:81 year:2015 number:4 pages:465-474 https://doi.org/10.1016/j.aogh.2015.06.002 kostenfrei https://doaj.org/article/568e86c812f84e15b92b06f184192411 kostenfrei https://annalsofglobalhealth.org/articles/1482 kostenfrei https://doaj.org/toc/2214-9996 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2015 4 465-474
allfieldsGer	10.1016/j.aogh.2015.06.002 doi (DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411 DE-627 ger DE-627 rakwb eng RC109-216 RA1-1270 Maria Luisa Salas verfasserin aut Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine Steve Quezada verfasserin aut Armando Basagoitia verfasserin aut Tamara Fernandez verfasserin aut Ronald Herrera verfasserin aut Manuel Parra verfasserin aut Daniel Moraga Muñoz verfasserin aut Matthias Weigl verfasserin aut Katja Radon verfasserin aut In Annals of Global Health Ubiquity Press, 2018 81(2015), 4, Seite 465-474 (DE-627)82610410X (DE-600)2821756-1 22149996 nnns volume:81 year:2015 number:4 pages:465-474 https://doi.org/10.1016/j.aogh.2015.06.002 kostenfrei https://doaj.org/article/568e86c812f84e15b92b06f184192411 kostenfrei https://annalsofglobalhealth.org/articles/1482 kostenfrei https://doaj.org/toc/2214-9996 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2015 4 465-474
allfieldsSound	10.1016/j.aogh.2015.06.002 doi (DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411 DE-627 ger DE-627 rakwb eng RC109-216 RA1-1270 Maria Luisa Salas verfasserin aut Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries 2015 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account. developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine Steve Quezada verfasserin aut Armando Basagoitia verfasserin aut Tamara Fernandez verfasserin aut Ronald Herrera verfasserin aut Manuel Parra verfasserin aut Daniel Moraga Muñoz verfasserin aut Matthias Weigl verfasserin aut Katja Radon verfasserin aut In Annals of Global Health Ubiquity Press, 2018 81(2015), 4, Seite 465-474 (DE-627)82610410X (DE-600)2821756-1 22149996 nnns volume:81 year:2015 number:4 pages:465-474 https://doi.org/10.1016/j.aogh.2015.06.002 kostenfrei https://doaj.org/article/568e86c812f84e15b92b06f184192411 kostenfrei https://annalsofglobalhealth.org/articles/1482 kostenfrei https://doaj.org/toc/2214-9996 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 81 2015 4 465-474
language	English
source	In Annals of Global Health 81(2015), 4, Seite 465-474 volume:81 year:2015 number:4 pages:465-474
sourceStr	In Annals of Global Health 81(2015), 4, Seite 465-474 volume:81 year:2015 number:4 pages:465-474
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	developing countries epidemiology Karasek mental health precarious employment Infectious and parasitic diseases Public aspects of medicine
isfreeaccess_bool	true
container_title	Annals of Global Health
authorswithroles_txt_mv	Maria Luisa Salas @@aut@@ Steve Quezada @@aut@@ Armando Basagoitia @@aut@@ Tamara Fernandez @@aut@@ Ronald Herrera @@aut@@ Manuel Parra @@aut@@ Daniel Moraga Muñoz @@aut@@ Matthias Weigl @@aut@@ Katja Radon @@aut@@
publishDateDaySort_date	2015-01-01T00:00:00Z
hierarchy_top_id	82610410X
id	DOAJ070838186
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ070838186</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309094732.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2015 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.aogh.2015.06.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ070838186</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ568e86c812f84e15b92b06f184192411</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="050" ind1=" " ind2="0"><subfield code="a">RC109-216</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Maria Luisa Salas</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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">Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">developing countries</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">epidemiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Karasek</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mental health</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">precarious employment</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Infectious and parasitic diseases</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Steve Quezada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Armando Basagoitia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tamara Fernandez</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ronald Herrera</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Manuel Parra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Daniel Moraga Muñoz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Matthias Weigl</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Katja Radon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Annals of Global Health</subfield><subfield code="d">Ubiquity Press, 2018</subfield><subfield code="g">81(2015), 4, Seite 465-474</subfield><subfield code="w">(DE-627)82610410X</subfield><subfield code="w">(DE-600)2821756-1</subfield><subfield code="x">22149996</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:81</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:465-474</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.aogh.2015.06.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/568e86c812f84e15b92b06f184192411</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://annalsofglobalhealth.org/articles/1482</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2214-9996</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">81</subfield><subfield code="j">2015</subfield><subfield code="e">4</subfield><subfield code="h">465-474</subfield></datafield></record></collection>
callnumber-first	R - Medicine
author	Maria Luisa Salas
spellingShingle	Maria Luisa Salas misc RC109-216 misc RA1-1270 misc developing countries misc epidemiology misc Karasek misc mental health misc precarious employment misc Infectious and parasitic diseases misc Public aspects of medicine Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
authorStr	Maria Luisa Salas
ppnlink_with_tag_str_mv	@@773@@(DE-627)82610410X
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut aut
collection	DOAJ
remote_str	true
callnumber-label	RC109-216
illustrated	Not Illustrated
issn	22149996
topic_title	RC109-216 RA1-1270 Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries developing countries epidemiology Karasek mental health precarious employment
topic	misc RC109-216 misc RA1-1270 misc developing countries misc epidemiology misc Karasek misc mental health misc precarious employment misc Infectious and parasitic diseases misc Public aspects of medicine
topic_unstemmed	misc RC109-216 misc RA1-1270 misc developing countries misc epidemiology misc Karasek misc mental health misc precarious employment misc Infectious and parasitic diseases misc Public aspects of medicine
topic_browse	misc RC109-216 misc RA1-1270 misc developing countries misc epidemiology misc Karasek misc mental health misc precarious employment misc Infectious and parasitic diseases misc Public aspects of medicine
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Annals of Global Health
hierarchy_parent_id	82610410X
hierarchy_top_title	Annals of Global Health
isfreeaccess_txt	true
familylinks_str_mv	(DE-627)82610410X (DE-600)2821756-1
title	Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
ctrlnum	(DE-627)DOAJ070838186 (DE-599)DOAJ568e86c812f84e15b92b06f184192411
title_full	Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
author_sort	Maria Luisa Salas
journal	Annals of Global Health
journalStr	Annals of Global Health
callnumber-first-code	R
lang_code	eng
isOA_bool	true
recordtype	marc
publishDateSort	2015
contenttype_str_mv	txt
container_start_page	465
author_browse	Maria Luisa Salas Steve Quezada Armando Basagoitia Tamara Fernandez Ronald Herrera Manuel Parra Daniel Moraga Muñoz Matthias Weigl Katja Radon
container_volume	81
class	RC109-216 RA1-1270
format_se	Elektronische Aufsätze
author-letter	Maria Luisa Salas
doi_str_mv	10.1016/j.aogh.2015.06.002
author2-role	verfasserin
title_sort	working conditions, workplace violence, and psychological distress in andean miners: a cross-sectional study across three countries
callnumber	RC109-216
title_auth	Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
abstract	Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.
abstractGer	Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.
abstract_unstemmed	Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2336 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700
container_issue	4
title_short	Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries
url	https://doi.org/10.1016/j.aogh.2015.06.002 https://doaj.org/article/568e86c812f84e15b92b06f184192411 https://annalsofglobalhealth.org/articles/1482 https://doaj.org/toc/2214-9996
remote_bool	true
author2	Steve Quezada Armando Basagoitia Tamara Fernandez Ronald Herrera Manuel Parra Daniel Moraga Muñoz Matthias Weigl Katja Radon
author2Str	Steve Quezada Armando Basagoitia Tamara Fernandez Ronald Herrera Manuel Parra Daniel Moraga Muñoz Matthias Weigl Katja Radon
ppnlink	82610410X
callnumber-subject	RC - Internal Medicine
mediatype_str_mv	c
isOA_txt	true
hochschulschrift_bool	false
doi_str	10.1016/j.aogh.2015.06.002
callnumber-a	RC109-216
up_date	2024-07-03T16:59:15.063Z
_version_	1803577935857188864
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ070838186</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230309094732.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230228s2015 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.aogh.2015.06.002</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ070838186</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ568e86c812f84e15b92b06f184192411</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="050" ind1=" " ind2="0"><subfield code="a">RC109-216</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RA1-1270</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Maria Luisa Salas</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015</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">Background: Psychosocial working conditions are well-known determinants of poor mental health. However, studies in mining populations where employment and working conditions are frequently precarious have, to our knowledge, only focused on occupational accidents and diseases. Objectives: The aim of this study was to assess psychosocial working conditions and psychological distress in Andean underground miners. Methods: The study population consisted of 153 Bolivian miners working in a silver mining cooperative, 137 Chilean informal gold miners, and 200 formal Peruvian silver miners employed in a remote setting. High work demands, minimal work control, minimal <a title="Learn more about Social support" href="https://www.sciencedirect.com/topics/medicine-and-dentistry/social-support"<social support</a< at work, and workplace exposure to violence and bullying were assessed using the Spanish short form of the European Working Condition Survey. A general health questionnaire score <4 was used as cutoff for psychological distress. Associations between psychosocial work environment and psychological distress were tested using logistic regression models controlling for potential confounding and effect modification by country. Findings: Prevalence of psychological distress was 82% in the Bolivian cooperative miners, 29% in the Peruvian formal miners, and 22% in the Chilean informal miners (pχ2 < 0.001). 55% of the miners had suffered violence during the 12-months before the survey. Workplace demands were high (median 12.5 on a scale from 7-14), as was social support (median 5.5 on a scale from 3-6). After adjustment for country and other relevant exposure variables and considering interactions between country and job strain, miners in active (odds ratio [OR], 6.8; 95% confidence interval [CI] 2.1-22.7) and high strain jobs (OR, 7.2; 95% CI, 1.7-29.9) were at increased odds of distress compared with those in low strain jobs. Violence at work also contributed to increased odds of distress (OR, 1.86; 95% CI, 1.1-3.1). Conclusions: Psychological distress is associated with the psychosocial work environment in Andean underground miners. Interventions in mining populations should take the psychosocial work environment into account.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">developing countries</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">epidemiology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Karasek</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mental health</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">precarious employment</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Infectious and parasitic diseases</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Public aspects of medicine</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Steve Quezada</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Armando Basagoitia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tamara Fernandez</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Ronald Herrera</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Manuel Parra</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Daniel Moraga Muñoz</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Matthias Weigl</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Katja Radon</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Annals of Global Health</subfield><subfield code="d">Ubiquity Press, 2018</subfield><subfield code="g">81(2015), 4, Seite 465-474</subfield><subfield code="w">(DE-627)82610410X</subfield><subfield code="w">(DE-600)2821756-1</subfield><subfield code="x">22149996</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:81</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:465-474</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.aogh.2015.06.002</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/568e86c812f84e15b92b06f184192411</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://annalsofglobalhealth.org/articles/1482</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2214-9996</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">81</subfield><subfield code="j">2015</subfield><subfield code="e">4</subfield><subfield code="h">465-474</subfield></datafield></record></collection>
score	7.4021845

Nicht das Richtige dabei?

Schreiben Sie uns!

Working Conditions, Workplace Violence, and Psychological Distress in Andean Miners: A Cross-sectional Study Across Three Countries

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?