Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?

Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Metho...
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Autor*in:	Kaerlev, Linda [verfasserIn] Kolstad, Henrik A Hansen, Åse Marie Thomsen, Jane Frølund Kærgaard, Anette Rugulies, Reiner Mikkelsen, Sigurd Andersen, Johan Hviid Mors, Ole Grynderup, Matias B Bonde, Jens Peter

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2011

Schlagwörter:	cohort study health survey non-response psychosocial distress affective disorders

Anmerkung:	© Kaerlev et al; licensee BioMed Central Ltd. 2011

Übergeordnetes Werk:	Enthalten in: BMC public health - London : BioMed Central, 2001, 11(2011), 1 vom: 08. Juli
Übergeordnetes Werk:	volume:11 ; year:2011 ; number:1 ; day:08 ; month:07

Links:	Volltext

DOI / URN:	10.1186/1471-2458-11-539

Katalog-ID:	SPR027857751

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245	1	0	\|a Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
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520			\|a Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes.
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700	1		\|a Kolstad, Henrik A \|4 aut
700	1		\|a Hansen, Åse Marie \|4 aut
700	1		\|a Thomsen, Jane Frølund \|4 aut
700	1		\|a Kærgaard, Anette \|4 aut
700	1		\|a Rugulies, Reiner \|4 aut
700	1		\|a Mikkelsen, Sigurd \|4 aut
700	1		\|a Andersen, Johan Hviid \|4 aut
700	1		\|a Mors, Ole \|4 aut
700	1		\|a Grynderup, Matias B \|4 aut
700	1		\|a Bonde, Jens Peter \|4 aut
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allfields	10.1186/1471-2458-11-539 doi (DE-627)SPR027857751 (SPR)1471-2458-11-539-e DE-627 ger DE-627 rakwb eng Kaerlev, Linda verfasserin aut Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kaerlev et al; licensee BioMed Central Ltd. 2011 Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213 Kolstad, Henrik A aut Hansen, Åse Marie aut Thomsen, Jane Frølund aut Kærgaard, Anette aut Rugulies, Reiner aut Mikkelsen, Sigurd aut Andersen, Johan Hviid aut Mors, Ole aut Grynderup, Matias B aut Bonde, Jens Peter aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 08. Juli (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:08 month:07 https://dx.doi.org/10.1186/1471-2458-11-539 kostenfrei 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_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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 11 2011 1 08 07
spelling	10.1186/1471-2458-11-539 doi (DE-627)SPR027857751 (SPR)1471-2458-11-539-e DE-627 ger DE-627 rakwb eng Kaerlev, Linda verfasserin aut Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kaerlev et al; licensee BioMed Central Ltd. 2011 Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213 Kolstad, Henrik A aut Hansen, Åse Marie aut Thomsen, Jane Frølund aut Kærgaard, Anette aut Rugulies, Reiner aut Mikkelsen, Sigurd aut Andersen, Johan Hviid aut Mors, Ole aut Grynderup, Matias B aut Bonde, Jens Peter aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 08. Juli (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:08 month:07 https://dx.doi.org/10.1186/1471-2458-11-539 kostenfrei 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_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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 11 2011 1 08 07
allfields_unstemmed	10.1186/1471-2458-11-539 doi (DE-627)SPR027857751 (SPR)1471-2458-11-539-e DE-627 ger DE-627 rakwb eng Kaerlev, Linda verfasserin aut Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kaerlev et al; licensee BioMed Central Ltd. 2011 Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213 Kolstad, Henrik A aut Hansen, Åse Marie aut Thomsen, Jane Frølund aut Kærgaard, Anette aut Rugulies, Reiner aut Mikkelsen, Sigurd aut Andersen, Johan Hviid aut Mors, Ole aut Grynderup, Matias B aut Bonde, Jens Peter aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 08. Juli (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:08 month:07 https://dx.doi.org/10.1186/1471-2458-11-539 kostenfrei 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_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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 11 2011 1 08 07
allfieldsGer	10.1186/1471-2458-11-539 doi (DE-627)SPR027857751 (SPR)1471-2458-11-539-e DE-627 ger DE-627 rakwb eng Kaerlev, Linda verfasserin aut Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kaerlev et al; licensee BioMed Central Ltd. 2011 Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213 Kolstad, Henrik A aut Hansen, Åse Marie aut Thomsen, Jane Frølund aut Kærgaard, Anette aut Rugulies, Reiner aut Mikkelsen, Sigurd aut Andersen, Johan Hviid aut Mors, Ole aut Grynderup, Matias B aut Bonde, Jens Peter aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 08. Juli (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:08 month:07 https://dx.doi.org/10.1186/1471-2458-11-539 kostenfrei 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_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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 11 2011 1 08 07
allfieldsSound	10.1186/1471-2458-11-539 doi (DE-627)SPR027857751 (SPR)1471-2458-11-539-e DE-627 ger DE-627 rakwb eng Kaerlev, Linda verfasserin aut Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Kaerlev et al; licensee BioMed Central Ltd. 2011 Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213 Kolstad, Henrik A aut Hansen, Åse Marie aut Thomsen, Jane Frølund aut Kærgaard, Anette aut Rugulies, Reiner aut Mikkelsen, Sigurd aut Andersen, Johan Hviid aut Mors, Ole aut Grynderup, Matias B aut Bonde, Jens Peter aut Enthalten in BMC public health London : BioMed Central, 2001 11(2011), 1 vom: 08. Juli (DE-627)326643583 (DE-600)2041338-5 1471-2458 nnns volume:11 year:2011 number:1 day:08 month:07 https://dx.doi.org/10.1186/1471-2458-11-539 kostenfrei 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_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_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 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_2027 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 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 11 2011 1 08 07
language	English
source	Enthalten in BMC public health 11(2011), 1 vom: 08. Juli volume:11 year:2011 number:1 day:08 month:07
sourceStr	Enthalten in BMC public health 11(2011), 1 vom: 08. Juli volume:11 year:2011 number:1 day:08 month:07
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	cohort study health survey non-response psychosocial distress affective disorders
isfreeaccess_bool	true
container_title	BMC public health
authorswithroles_txt_mv	Kaerlev, Linda @@aut@@ Kolstad, Henrik A @@aut@@ Hansen, Åse Marie @@aut@@ Thomsen, Jane Frølund @@aut@@ Kærgaard, Anette @@aut@@ Rugulies, Reiner @@aut@@ Mikkelsen, Sigurd @@aut@@ Andersen, Johan Hviid @@aut@@ Mors, Ole @@aut@@ Grynderup, Matias B @@aut@@ Bonde, Jens Peter @@aut@@
publishDateDaySort_date	2011-07-08T00:00:00Z
hierarchy_top_id	326643583
id	SPR027857751
language_de	englisch
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We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. 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author	Kaerlev, Linda
spellingShingle	Kaerlev, Linda misc cohort study misc health survey misc non-response misc psychosocial distress misc affective disorders Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
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topic_title	Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation? cohort study (dpeaa)DE-He213 health survey (dpeaa)DE-He213 non-response (dpeaa)DE-He213 psychosocial distress (dpeaa)DE-He213 affective disorders (dpeaa)DE-He213
topic	misc cohort study misc health survey misc non-response misc psychosocial distress misc affective disorders
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title	Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
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title_full	Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
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author_browse	Kaerlev, Linda Kolstad, Henrik A Hansen, Åse Marie Thomsen, Jane Frølund Kærgaard, Anette Rugulies, Reiner Mikkelsen, Sigurd Andersen, Johan Hviid Mors, Ole Grynderup, Matias B Bonde, Jens Peter
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author-letter	Kaerlev, Linda
doi_str_mv	10.1186/1471-2458-11-539
title_sort	are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
title_auth	Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
abstract	Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. © Kaerlev et al; licensee BioMed Central Ltd. 2011
abstractGer	Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. © Kaerlev et al; licensee BioMed Central Ltd. 2011
abstract_unstemmed	Background Low participation in population-based follow-up studies addressing psychosocial risk factors may cause biased estimation of health risk but the issue has seldom been examined. We compared risk estimates for selected health outcomes among respondents and the entire source population. Methods In a Danish cohort study of associations between psychosocial characteristics of the work environment and mental health, the source population of public service workers comprised 10,036 employees in 502 work units of which 4,489 participated (participation rate 45%). Data on the psychosocial work environment were obtained for each work unit by calculating the average of the employee self-reports. The average values were assigned all employees and non-respondent at the work unit. Outcome data on sick leave and prescription of antidepressant medication during the follow-up period (1.4.2007-31.12.2008) was obtained by linkage to national registries. Results Respondents differed at baseline from non-respondents by gender, age, employment status, sick leave and hospitalization for affective disorders. However, risk estimates for sick leave and prescription of antidepressant medication, during follow-up, based on the subset of participants, did only differ marginally from risk estimates based upon the entire population. Conclusions We found no indications that low participation at baseline distorts the estimates of associations between the work unit level of psychosocial work environment and mental health outcomes during follow-up. These results may not be valid for other exposures or outcomes. © Kaerlev et al; licensee BioMed Central Ltd. 2011
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title_short	Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?
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author2	Kolstad, Henrik A Hansen, Åse Marie Thomsen, Jane Frølund Kærgaard, Anette Rugulies, Reiner Mikkelsen, Sigurd Andersen, Johan Hviid Mors, Ole Grynderup, Matias B Bonde, Jens Peter
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Are risk estimates biased in follow-up studies of psychosocial factors with low base-line participation?

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