- Open Access
Depressive symptoms and psychosocial stress at work among older employees in three continents
© Siegrist et al.; licensee BioMed Central Ltd. 2012
Received: 12 March 2012
Accepted: 5 July 2012
Published: 20 July 2012
To assess whether an association of psychosocial stress at work with depressive symptoms among older employees is evident in a set of comparable empirical studies from Europe, North America and Asia.
Cross-sectional and longitudinal multivariate regression analyses of data from 4 cohort studies with elder workers (2004 and 2006) testing associations of psychosocial stress at work (‘effort-reward imbalance’; ‘low control’) with depressive symptoms.
Cross-sectional analyses from 17 countries with 14.236 participants reveal elevated odds ratios of depressive symptoms among people experiencing high work stress compared to those with low or no work stress. Adjusted odds ratios vary from 1.64 (95% CI 1.02-2.63) in Japan to 1.97 (95% CI 1.75-2.23) in Europe and 2.28 (95% CI 1.59-3.28) in the USA. Odds ratios from additional longitudinal analyses (in 13 countries) controlling for baseline depression are smaller, but remain in part significant.
Findings indicate that psychosocial stress at work might be a relevant risk factor for depressive symptoms among older employees across countries and continents. This observation may call for global policy efforts to improve quality of work in view of a rapidly aging workforce, in particular in times of economic globalization.
On a global scale, depression is one of the leading causes of premature mortality and disability-adjusted life years. Despite uncertainty about the scope of a potentially increased incidence in recent years depression makes a significant contribution to the global burden of disease and associated costs, in particular in rapidly aging populations[3–5]. On a different level, work stress is now considered a growing threat to the health of employed people, especially so in association with aggravated competition, work intensification and job insecurity resulting from rapid spread of free market principles in a globalized economy. Whether there is an association between work stress and depression has been explored in a number of epidemiological studies (for reviews see[7–10]. Although results are not fully consistent significantly increased odds ratios of incident depression were documented in a majority of cohort studies analysed in these reviews. Given the significance of exposure time for disease incidence one can assume that the association of stressful work with depression is particularly strong among older employees. Yet, this hypothesis has rarely been tested as most studies were conducted in middle-aged working populations[7–10]. It is therefore important to analyse the association of work stress with depression in older employees. A further shortcoming of the current state of the art relates to the fact that most studies testing this hypothesis were restricted to samples of working men and women from a single country or from different countries, mostly within Europe[11–13]. To our knowledge, no study has yet tested the hypothesis in working populations recruited from a variety of countries in different continents.
We set out to fill in these gaps of knowledge by analysing the association of work stress with depressive symptoms in a large sample of older employed men and women (aged 50 to 64) from several countries recruited from Europe, the USA and Asia. We test this association both cross-sectionally (17 countries) and longitudinally (13 countries) (see Methods). Despite their importance in times of growing economic globalization, studies that investigate cross-country comparisons face a considerable methodological problem as it is essential to ensure that the core constructs under study have an identical meaning across different cultures. Moreover, the measurement of these constructs should result in comparable information across the different data sets. In case of clinically relevant depressive symptoms this challenge has been met rather successfully, both at the level of professional judgments based on internationally valid criteria and assessment tools[14–16], and at the level of self-reported standardized questionnaire data assessing depressive symptoms (see Methods).
Can we define stressful work in an identical way and provide a comparable assessment? To answer this question a theoretical model is needed. It is the function of a theoretical model to delineate particular stressful work conditions so that they can be identified at a level of generalization that allows for their use in a wide range of occupations in different socio-economic and socio-cultural contexts. While several such theoretical concepts have been developed, two models received special attention in international research and were applied in epidemiological studies in a variety of working populations in different countries, the job strain (or demand-control) model and the effort-reward imbalance model. The job strain model defines work stress in terms of a distinct job task profile where jobs defined by high demands in combination with low decision latitude or low task control are stressful. A complementary model, effort-reward imbalance, focuses on the work contract and the principle of social reciprocity lying at its core. Rewards received in return to efforts spent at work include money, esteem, and career opportunities (promotion, job security). The model asserts that lack of reciprocity (high effort in combination with low reward) occurs frequently in a globalized economy and generates strong negative emotions and psychobiological stress responses with adverse long-term effects on health. Both models are measured by standardized, psychometrically validated questionnaires that are available in a variety of languages[20, 21].
In summary, we analyse associations of job strain and effort-reward imbalance at work with depressive symptoms in older employed men and women recruited from countries in three continents, applying validated, cross-culturally comparable methods.
Data were obtained from four longitudinal ageing studies with information from 17 countries: the ‘Survey of Health, Ageing and Retirement in Europe’ (SHARE, Release 2.3.0)[22, 23], the ‘English Longitudinal Study of Ageing’ (ELSA, Release 2), the US Health and Retirement Study (HRS 2004 Final V1.0, HRS 2006 Final V2.0, RAND Version J), and the ‘Japanese Study of Aging and Retirement’ (J-STAR). The four studies were developed in close coordination regarding design and measurements. Countries range from Scandinavia (Denmark and Sweden), England and Ireland, Western Europe (Austria, France, Germany, Switzerland, Belgium, and the Netherlands), Central Europe (Poland, Czech Republic), Southern Europe (Spain, Italy and Greece) to the United States of America (USA) and to Japan. Thus, a variety of countries with different levels of economic development and with considerable socio-cultural diversity are included. Yet, all countries are exposed, to a greater or lesser extent, to the opportunities and constraints of global economic change. All studies except J-STAR are based on representative national samples of individuals aged 50 and older with ongoing waves of data collection in two-year intervals covering a variety of sociological, economic and health-related topics. In J-STAR, a stratified sample from the population of 5 cities was taken which may not reflect a nation-wide representative study group. In all studies, participants were interviewed using Computer Assisted Personal Interviews and self-completion questionnaires. While analyses of cross-sectional associations (covering all 17 countries) use data from the year 2006 only, analyses of longitudinal data include those 13 countries which provide data from two waves (the listed countries without Ireland, Czech Republic, Poland and Japan). Longitudinal associations were explored by linking work stress measures in 2004 with prospective health measured at wave 2 (2006). Since we were interested in work stress in late midlife, samples are restricted to men and women aged 50 - 64 years reporting to do any paid work at assessment of work stress. This restriction resulted in a cross-sectional sample of N = 14,236 persons for the cross-sectional analysis (2006) and of N = 6,657 persons for the longitudinal analysis (2004-2006).
In all studies work stress was assessed by short versions of validated scales administered by standardized questionnaires. Given the constraints of multi-disciplinary collaborative research within large-scale epidemiological investigations the inclusion of full original questionnaires was not possible. Thus, items were selected on the basis of factor loadings and item-total correlations on respective original scales. With regard to the job strain model, the measurement was restricted to the control dimension. This decision was based on evidence that the predictive power of ‘control’ exceeded the power of ‘demand’ in several studies. Low control at work was measured by the sum score of two Likert-scaled items (1 item in J-STAR), with higher scores indicating lower control at work. For each country, participants scoring in the upper tertile of the score were considered to experience stressful work in terms of low control, in accordance with previously published studies[12, 13]. To measure effort-reward imbalance, 2 measuring ‘effort’, and 5 assessing ‘reward’ at work were included (4 items in J-STAR). This selection was based either on the original questionnaire or on its abbreviated, psychometrically validated version. For the selected items, all item-total correlations were far beyond the established threshold of 0.30, ranging from 0.93 to 0.81 (uncorrected) and from 0.67 to 0.42 (corrected). 'Effort-reward imbalance' was defined by a ratio of the sum score of the two scales, adjusted for unequal number of items, where country specific tertiles were calculated. Again, values in the upper tertile were defined as exposure to psychosocial stress at work in terms of this latter model[12, 13]. Both questionnaires were included, among others, in large comparative cross-national and cross-cultural studies[29, 30], and item response theory was applied to achieve cross-cultural comparability of work stress measurements.
To measure a clinically relevant indicator of mental health, depressive symptoms were defined on the basis of two internationally established instruments, the Centre for Epidemiologic Studies Depression (CES-D) scale, and the EURO-D depression scale. A short validated version of the former scale (8 items) was applied in HRS and ELSA, and J-STAR applied the full version (20 items). In SHARE, the alternative EURO-D (12 items) scale was included. As high degree of comparability of results of the two scales was demonstrated[32, 33], respective information was included in comparative analyses. Cut points of the scales indicating clinically relevant depressive symptoms were validated by clinical interviews[34, 35]. Several investigations confirmed the cross-cultural comparability of these scales[36–38]. In SHARE, the internal consistency of the EURO-D scale was satisfying with Cronbach’s alpha ranging from 0.62 to 0.78, and similar results were obtained with the CES-D scale. In HRS Cronbach’s alpha of the 8-item version of CESD ranged from 0.81 to 0.83.
Distribution of study variables in the 3 world regions*; data from 2006
EUROPE (SHARE; ELSA)
In a first step, we present the national prevalence of depressive symptoms. Following this, multivariate logistic regression analyses were performed to estimate odds ratios and 95% confidence intervals of depressive symptoms according to the two independently analysed measures of work stress, effort-reward imbalance and low job control. Models were calculated for each work stress scale separately and adjusted for the confounding factors mentioned above. Given the multilevel structure of the European data, we applied multilevel methods where individuals (level 1) are nested within countries (level 2). By using multilevel modelling, accurate adjustment for country affiliation is possible and the dependence of residuals within a country is considered, since the constant is allowed to vary across countries. These analyses were applied to the full cross-sectional data set and, subsequently, to the restricted data set with two consecutive measurement waves where stressful work, assessed in 2004, was related to depressive symptoms, assessed in 2006.
In the first one of two models, effects were adjusted for additional covariates, whereas a second model they was additionally adjusted for baseline depressive symptoms measured in 2004. By doing so, model 2 estimates how the work stress measures are associated with changes in depressive symptoms between 2004 and 2006. In keeping with the main focus of this contribution, the globalization of stressful work and its potential impact on mental health, we present the odds ratios separately for the three main world regions from which data are available, Europe, USA, and Asia (Japan). To assess the validity of the analyses sensitivity analyses were conducted. First, analyses were repeated using self-rated health as an additional health indicator. Second, longitudinal analyses were repeated excluding all participants with depressive symptoms at baseline in order to test associations with new onset of depressive symptoms. All calculations were done using STATA 11.
The prevalence of current depressive symptoms varied considerably between countries, with a majority of countries exhibiting less than 14 percent. Yet, in a few countries a higher prevalence was observed (19,2 percent in Belgium, 23,0 percent in Italy, 26,1 percent in France, and 33,9 percent in Poland). Concerning the three world regions, the prevalence of current depression was lowest in Japan, medium in the USA, and highest in Europe.
Associations of work stress with depressive symptoms (multivariate logistic regression analyses) (N = sample with complete data)
2.28 (1.59 – 3.28) ***
1.97 (1.75 – 2.23) ***
1.64 (1.02 – 2.63) *
2.26 (1.57 – 3.25) ***
1.66 (1.45 – 1.90) ***
1.59 (0.88 – 2.86)
Associations of work stress with prospective depressive symptoms (multivariate logistic regression analyses)
Depressive Symptoms (2006)
Effort-reward imbalance (2004)
1.94 (1.21 – 3.13) **
1.79 (1.53 – 2.09) ***
Model2 + symptoms 2004
1.53 (0.91 – 2.57)
1.51 (1.28 – 1.78) ***
Low control (2004)
1.65 (1.03 – 2.63)*
1.57 (1.34 – 1.84) ***
Model2 + symptoms 2004
1.46 (0.88 – 2.45)
1.42 (1.20 – 1.68) ***
The results of additional sensitivity analyses with self-rated health as outcome were similar to those obtained with depressive symptoms. Moreover, sensitivity analyses were conducted to confirm the longitudinal findings. First, we repeated analyses by excluding participants who retired between 2004 and 2006. Second, we restricted our mental health outcome to participants with incident depressive symptoms between 2004 and 2006. In either case, results remained basically unchanged (results not shown). The magnitude and statistical significance of respective odds ratios were well comparable in case of the European and American study samples, both in cross-sectional and longitudinal analyses. However, in Japan, low control was not associated with poor subjective health. Furthermore, instead of analysing the full sample and to adjust for baseline depressive symptoms, we repeated longitudinal analyses by excluding all participants with depressive symptoms at baseline, thus estimating associations with newly manifested depressive symptoms. Again, results were in line with the analyses displayed in Table3. More specifically, odds ratios in case of effort-reward imbalance were 1.64 (0.87-3.08) for USA and 1.59 (1.29-1.96) for Europe, and in case of low control 1.69 (0.92-3.10) for USA and 1.52 (1.23-1.88) for Europe.
Our results demonstrate that work stress, as measured by core components of two major theoretical models, job strain and effort-reward imbalance, is associated with significantly increased odds ratios of depressive symptoms in cross-sectional and, in part, in longitudinal analyses across different regions of the world. Based on cross-sectional data, the strength of associations is comparable between the three analyses conducted for countries from the three regions Europe, USA and Asia (Japan). Among employed men and women aged 50 to 64 exhibiting a high level of work stress there is an increased probability of depressive symptoms varying from about 60 percent to about 120 percent, compared to those with no or low level of work stress. Findings from longitudinal analyses are restricted to samples from USA and Europe. Although trends are similar to those reported from cross-sectional analyses, effects are attenuated after adjusting for baseline depression, where elevated odds ratios remain significant in Europe only – a finding that might be explained by the large sample size compared to the US sample.
Taken together, our results lend preliminary support to the notion that work stress is associated with an elevated probability of experiencing clinically relevant depressive symptoms in employed men and women of early old age recruited from a variety of countries in different regions of the world. Observed effects remain statistically significant after adjustment for gender, age, education, employment status, working hours and country, but adjustment for baseline depression systematically reduces the size of effects in longitudinal analyses. This latter observation is well known from other investigations and may in part be due to common method variance between two sets of simultaneously assessed self-report measures. Our findings are consistent with those reported from a single country or from studies comparing European countries[11–13, 44].
To the best of our knowledge, this is the first report demonstrating an association of work stress with depression in early old age populations across a variety of countries from different regions of the world, using identical or highly comparable measurements of the constructs under study. However, there are several limitations to our analysis. First, the number of countries from which longitudinal data are available is smaller than is the case with cross-sectional data. Therefore, respective findings cannot be generalized to all samples under study. Moreover, results are restricted to the specific age group, and the Japanese sample was not intended to be representative of the respective national population group. Inclusion of more Asian countries would provide more robust estimates. In fact, two more aging studies with comparable study designs have been initiated meanwhile, in South Korea and in China, thus offering an extension of the current analysis in future research.
Second, we restricted the analysis of work stress to two core theoretically grounded notions of stress, lack of control and failed reciprocity between effort and reward. Although these theoretical notions are particularly relevant in delineating stressful working and employment conditions in the context of economic globalization future studies may broaden the range of work-related stressors, e.g. by including organisational injustice and precarious work. However, given the restrictions of applying short questionnaires in multi-disciplinary international investigations we were not in a position to measure all components of the two models with complete scales and to include additional theoretical notions. Yet, rather than overestimating the effects of work-related stress, this may have led to underestimating effect sizes.
A third limitation concerns the measurement of depression. Despite satisfactory criterion validity the two self-administered scales measuring depressive symptoms may not capture clinically relevant conditions to a sufficient extent, as is the case with an established standardized approach based on clinical interviews. Yet, correlations of the two scales, the CES-D scale and the Euro-D scale, were high, and both scales demonstrate convincing psychometric properties. Fourth, cultural variations in experiencing and expressing stressful work as well as depressive symptoms may not have been adequately captured by short standardized questionnaire methods. Therefore, in addition to applying item response theory to improve cross-cultural comparability of the scales qualitative studies are desirable to validate these preliminary findings. A more comprehensive understanding is expected from such studies, specifically in case of explaining the observed differences in effect sizes of work stress on depression between Japan and the other countries or between men and women (although, in our data, gender differences were not significant). In this context, socio-cultural differences in recall of depressive symptoms may also need a more detailed analysis. Finally, information on mental health in this analysis was restricted to depressive symptoms. The inclusion of additional health indicators would further support the hypothesis. In fact, in sensitivity analyses we repeated all calculations presented above with data on ‘poor self reported health’ as an outcome criterion. Results were highly comparable to the ones given in Tables 2 and3. In further sensitivity analyses excluding participants who retired between 2004 and 2006 and focusing on incident depressive symptoms findings were almost identical to the ones presented in the Results section (results not shown).
These limitations are balanced by several strengths. All epidemiological studies on aging populations were designed in close coordination, and the data collection procedure met internationally established quality standards[22–24]. The questionnaires applied to measure the core constructs, work stress and depression, were either fully identical or well comparable, thus offering opportunities to conduct intercultural comparisons. Furthermore, the four cohorts represent a relatively homogenous age group, 50 to 64 years, where exposure to work stress can be assumed to have occurred for a couple of years or even decades. In this age group, the prevalence of depressive symptoms is substantial, and the policy dimension of this fact is indicated, among others, in the prominent role of depression as one of the most frequent diagnoses justifying disability pensions in several countries included in this study. Finally, the two work stress models underlying this analysis were successfully applied to explain stress-related mental and physical disorders in a large number of prospective epidemiological studies[10, 12, 44, 49], and the psychobiological pathways linking lack of control and frustration of rewards to disease were tested in a variety of experimental studies[50, 51].
What are the policy implications of these results? At the international level, coordinated efforts are needed to strengthen measures that mitigate health-adverse effects of stressful work, e.g. by reducing the impact of neoliberal policies on labour market standards and quality of work. At the national and local levels, investments into worksite health promotion programmes and occupational health services targeting occupational high risk groups contribute to a reduction of the burden of stress-related disorders, given the high prevalence of low control and effort-reward imbalance amongst the workforce with low qualification. Preliminary favourable results from intervention studies that increase control and reward at work by implementing theory-based organizational changes support this notion.
In conclusion, our results lend preliminary support to the notion that work stress is associated with an elevated probability of experiencing clinically relevant depressive symptoms in early old age working men and women recruited from a variety of countries in different regions of the world. If supported by further evidence these findings call for preventive efforts that aim at improving the quality of work and employment at national as well as international levels. Such efforts are needed in view of the powerful and partly health-adverse effects of work and employment in times of economic globalization.
This paper uses data from SHARE release 2.3, as of November 2009. The SHARE data collection has been primarily funded by the European Commission through the 5th framework programme (project QLK6-CT-2001-00360 in the thematic programme Quality of Life), through the 6th framework programme (projects SHARE-I3, RII-CT- 2006-062193, COMPARE, CIT5-CT-2005-028857, and SHARELIFE, CIT4-CT-2006-028812) and through the 7th framework programme (SHARE-PREP, 211909 and SHARE-LEAP, 227822). Additional funding from the U.S. National Institute on Aging (U01 AG09740-13S2, P01 AG005842, P01 AG08291, P30 AG12815, Y1-AG-4553-01 and OGHA 04-064, IAG BSR06-11, R21 AG025169) as well as from various national sources is gratefully acknowledged (seehttp://www.share-project.org for a full list of funding institutions).
Data from ELSA were made available through the UK Data Archive (UKDA). ELSA was developed by a team of researchers based at the National Centre for Social Research, University College London and the Institute for Fiscal Studies. The data were collected by the National Centre for Social Research. The funding is provided by the National Institute of Aging in the United States, and a consortium of UK government departments co-ordinated by the Office for National Statistics. The developers and funders of ELSA and the Archive do not bear any responsibility for the analyses or interpretations presented here.
The HRS (Health and Retirement Study) is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan.
The Japanese Study of Aging and Retirement (J-STAR) was conducted by the Research Institute of Economy, Trade and Industry (RIETI) and Hitotsubashi University, Japan.
This research was conducted in the frame of research grant of the Hans-Boeckler-Foundation, Duesseldorf, Germany (project number: S-2009-311-4).
- Üstün TB, Ayuso-Mateos JL, Chatterji S, Mathers C, Murray CJL: Global burden of depressive disorders in the year 2000. Br J Psychiatry. 2004, 184: 386-392. 10.1192/bjp.184.5.386View ArticlePubMedGoogle Scholar
- Hidaka BH: Depression as a disease of modernity: explanations for increasing prevalence. J Affect Disord. 2012, 104: 205-214.View ArticleGoogle Scholar
- Luppa M, Heinrich S, Angermeyer MC, König HH, Riedel-Heller SG: Cost-of-illness studies of depression. J Affect Disorders. 2007, 98: 29-43. 10.1016/j.jad.2006.07.017View ArticlePubMedGoogle Scholar
- Cole MG, Bellavance F, Monsour A: Prognosis and depression in elderly community and primary care populations: a systematic review and meta-analysis. Am J Psychiatry. 1999, 156: 1182-1189.PubMedGoogle Scholar
- Kessler RC, Birnbaum HG, Shahly V, Bromet E, Hwang I, McLaughlin KA, Sampson N, Andrade LH, de Girolamo G, Demyttenaere K, Haro JM, Karam AN, Kostyuchenko S, Kovess V, Lara C, Levinson D, Matschinger H, Nakane Y, Browne MO, Ormel J, Posada-Villa J, Sagar R, Stein DJ: Age differences in the prevalence and co-morbidity of DSM-IV major depressive episodes: results from the WHO World Mental Health Survey Initiative. Depress Anxiety. 2010, 27: 351-364. 10.1002/da.20634View ArticlePubMedPubMed CentralGoogle Scholar
- Unhealthy work: Causes, consequences and cures. Edited by: Schnall P, Dobson M, Rosskam E, Baker D, Landsbergis P. 2009, Amityville, NY: Baywood PressGoogle Scholar
- Bonde JPE: Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup Environ Med. 2008, 65: 438-445. 10.1136/oem.2007.038430View ArticlePubMedGoogle Scholar
- Ndjaboué R, Brisson C, Vézina M: Organisational justice and mental health: a systematic review of prospective studies. Occup Environ Med. 2012, 10.1136/oemed-2011-100595.Google Scholar
- Nieuwenhuijsen K, Bruinvels D, Frings-Dresen M: Psychosocial work environment and stress-related disorders, a systematic review. Occup Med. 2010, 60: 277-286. 10.1093/occmed/kqq081.View ArticleGoogle Scholar
- Stansfeld S, Candy B: Psychosocial work environment and mental health – a meta-analytic review. Scand J Work Environ Health. 2006, 32: 443-462. 10.5271/sjweh.1050View ArticlePubMedGoogle Scholar
- Pikhart H, Bobak M, Pajak A, Malyutina S, Kubinova R, Topor R, Sebakova H, Nikitin Y, Marmot M: Psychosocial factors at work and depression in three countries of Central and Eastern Europe. Soc Sci Med. 2004, 58: 1475-82. 10.1016/S0277-9536(03)00350-2View ArticlePubMedGoogle Scholar
- Dragano N, Siegrist J, Wahrendorf M: Welfare regimes, labour policies and unhealthy psychosocial working conditions: a comparative study with 9917 older employees from 12 European countries. J Epidemiol Community Health. 2011, 65: 793-799. 10.1136/jech.2009.098541View ArticlePubMedGoogle Scholar
- Siegrist J, Wahrendorf M: Quality of work, health and early retirement: European comparisons. The Individual and the Welfare State: Life Histories in Europe. Edited by: Börsch-Supan A, Brandt M, Hank K, Schröder M. 2011, 169-177. Heidelberg: SpringerView ArticleGoogle Scholar
- Andrade L, Caraveo-Anduaga J, Berglund P, Bijl RV, Graaf R, Vollebergh W, Dragomirecka E, Kohn R, Keller M, Kessler RC, Kawakami N, Kiliç C, Offord D, Ustun TB, Wittchen HU: The epidemiology of major depressive episodes: results from the International Consortium of Psychiatric Epidemiology (ICPE) Surveys. Int J Methods Psychiatr Res. 2003, 12: 3-21. 10.1002/mpr.138View ArticlePubMedGoogle Scholar
- Bromet E, Andrade LH, Hwang I, Sampson NA, Alonso J, de Girolamo G, de Graaf R, Demyttenaere K, Hu C, Iwata N, Karam AN, Kaur J, Kostyuchenko S, Lépine JP, Levinson D, Matschinger H, Mora MEM, O Browne M, Posada-Villa J, Viana MC, Williams DR, Kessler RC: Cross-national epidemiology of DSM-IV major depressive episode. BMC Med. 2011, 9: 90 10.1186/1741-7015-9-90View ArticlePubMedPubMed CentralGoogle Scholar
- Weissman MM, Bland RC, Canino GJ, Faravelli C, Greenwald S, Hwu HG, Joyce PR, Karam EG, Lee CK, Lellouch J, Lépine JP, Newman SC, Rubio-Stipec M, Wells JE, Wickramaratne PJ, Wittchen HU, Yeh EK: Cross-national epidemiology of major depression and bipolar disorder. JAMA. 1996, 276: 293-299. 10.1001/jama.1996.03540040037030View ArticlePubMedGoogle Scholar
- The Oxford Handbook of Organizational Well-Being. Edited by: Cartwright S, Cooper CL. 2009, Oxford: Oxford University PressGoogle Scholar
- Karasek RA, Theorell T: Healthy Work. 1990, New York: Basic BooksGoogle Scholar
- Siegrist J: Adverse health effects of high-effort/low-reward conditions. J Occup Health Psychol. 1996, 1: 27-41.View ArticlePubMedGoogle Scholar
- Karasek R, Brisson C, Kawakami N, Houtman I, Bongers P, Amick B: The Job Content Questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J Occup Health Psychol. 1998, 3: 322-355.View ArticlePubMedGoogle Scholar
- Siegrist J, Starke D, Chandola T, Godin I, Marmot M, Niedhammer I, Peter R: The measurement of effort-reward imbalance at work: European comparisons. Soc Sci Med. 2004, 58: 1483-1499. 10.1016/S0277-9536(03)00351-4View ArticlePubMedGoogle Scholar
- Health, ageing and retirement in Europe: first results from the Survey of Health, Ageing and Retirement in Europe. Edited by: Boersch-Supan A, Brugiavini A, Jürges H, Mackenbach J, Siegrist J, Weber G. 2005, Mannheim: Mannheim Research Institute for the Economics of Aging (MEA)Google Scholar
- Boersch-Supan A, Brugiavini A, Juerges H, Kapteyn A, Mackenbach J, Siegrist J, Weber G: First Results from the Survey of Health, Ageing and Retirement in Europe (2004-2007). 2008, Mannheim: Mannheim Research Institute for the Economics of Aging (MEA)Google Scholar
- Retirement, health and relationships of the older population in England: The 2004 English Longitudinal Study of Ageing. (Wave 2). Edited by: Banks J, Breeze E, Lessof C, Nazroo J. 2006, London: The Institute for Fiscal StudiesGoogle Scholar
- Juster F, Suzman R: An overview of the Health and Retirement Study. J Hum Resour. 1995, 30: 7-56.View ArticleGoogle Scholar
- Ichimura H, Hashimoto H, Shimizutani S: Japanese Study of Aging and Retirement. PIE/CIS Discussion Paper 447. 2009, Tokyo: Center for Intergenerational Studies, Institute of Economic Research, Hitotsubashi UniversityGoogle Scholar
- Leineweber C, Wege N, Westerlund H, Theorell T, Wahrendorf M, Siegrist J: How valid is a short measure of effort-reward imbalance at work? A replication study from Sweden. Occup Environ Med. 2010, 67: 526-531. 10.1136/oem.2009.050930View ArticlePubMedGoogle Scholar
- Nunnally JC, Bernstein IH: Psychometric theory. 1994, New York: McGraw-Hill, 3Google Scholar
- Tsutsumi A, Iwata N, Watanabe N, de Jonge J, Pikhart H, Fernández-López JA, Xu L, Peter R, Knutsson A, Niedhammer I, Kawakami N, Siegrist J: Application of item response theory to achieve cross-cultural comparability of occupational stress measurement. Int J Method Psych. 2009, 18: 58-67. 10.1002/mpr.277.View ArticleGoogle Scholar
- Fransson EI, Nyberg ST, Heikkilä K, Alfredsson L, de Bacquer D, Batty GD, Bonenfant S, Casini A, Clays E, Goldberg M, Kittel F, Koskenvuo M, Knutsson A, Leineweber C, Magnusson Hanson LL, Nordin M, Singh-Manoux A, Suominen S, Vahtera J, Westerholm P, Westerlund H, Zins M, Theorell T, Kivimäki M: Comparison of alternative versions of the job demand-control scales in 17 European cohort studies: the IPD-Work consortium. BMC Public Health. 2012, 12: 62 10.1186/1471-2458-12-62View ArticlePubMedPubMed CentralGoogle Scholar
- Radloff LS: The CES-D Scale: A self-report depression scale for research in the general population. Appl Psych Meas. 1977, 1: 385-401. 10.1177/014662167700100306.View ArticleGoogle Scholar
- Prince MJ, Reischies F, Beekman AT, Fuhrer R, Jonker C, Kivela SL, Lawlor BA, Lobo A, Magnusson H, Fichter M, van Oyen H, Roelands M, Skoog I, Turrina C, Copeland JR: Development of the EURO-D scale–a European, Union initiative to compare symptoms of depression in 14 European centres. Brit J Psychiat. 1999, 174: 330-338. 10.1192/bjp.174.4.330View ArticlePubMedGoogle Scholar
- Crimmins EM, Kim JK, Sole-Auro A: Gender differences in health: results from SHARE, ELSA and HRS. Eur J Public Health. 2011, 21: 81-91. 10.1093/eurpub/ckq022View ArticlePubMedPubMed CentralGoogle Scholar
- Irwin M, Artin KH, Oxman MN: Screening for depression in the older adult: criterion validity of the 10-item Center for Epidemiological Studies Depression Scale (CES-D). Arch Intern Med. 1999, 159: 1701-1704. 10.1001/archinte.159.15.1701View ArticlePubMedGoogle Scholar
- Larraga L, Saz P, Dewey ME, Marcos G, Lobo A: Validation of the Spanish version of the EURO-D scale: an instrument for detecting depression in older people. Int J Geriatr Psychiatry. 2006, 21: 1199-1205. 10.1002/gps.1642View ArticlePubMedGoogle Scholar
- Castro-Costa E, Dewey M, Stewart R, Banerjee S, Huppert F, Mendonca-Lima C, Bula C, Reisches F, Wancata J, Ritchie K, Tsolaki M, Mateos R, Prince M: Prevalence of depressive symptoms and syndromes in later life in ten European countries: the SHARE study. Br J Psychiatry. 2007, 191: 393-401. 10.1192/bjp.bp.107.036772View ArticlePubMedGoogle Scholar
- Castro-Costa E, Dewey M, Stewart R, Banerjee S, Huppert F, Mendonca-Lima C, Bula C, Reisches F, Wancata J, Ritchie K, Tsolaki M, Mateos R, Prince M: Ascertaining late-life depressive symptoms in Europe: an evaluation of the survey version of the EURO-D scale in 10 nations. The SHARE project. Int J Methods Psychiatr Res. 2008, 17: 12-29. 10.1002/mpr.236View ArticlePubMedGoogle Scholar
- Zivin K, Llewellyn DJ, Lang IA, Vijan S, Kabeto MU, Miller EM, Langa KM: Depression among older adults in the United States and England. Am J Geriatr Psychiatry. 2010, 18: 1036-1044. 10.1097/JGP.0b013e3181dba6d2View ArticlePubMedPubMed CentralGoogle Scholar
- Steffick DE: HRS/AHEAD Documentation Report. Documentation of affective functioning measures in the health study. 2000, Ann Arbor, MI: Survey Research Center, University of MichiganView ArticleGoogle Scholar
- Idler EL, Benyamini Y: Self-rated health and mortality: a review of twentyseven community studies. J Health Soc Behav. 1997, 38: 21-37. 10.2307/2955359View ArticlePubMedGoogle Scholar
- Rabe-Hesketh S, Skrondal A: Multilevel and longitudinal modeling using stata. 2008, Texas: Stata Press, 2Google Scholar
- Finkel SE: Causal analysis with panel data. 1995, Thousand Oaks, CA: SageView ArticleGoogle Scholar
- Spector PE: Method variance in organizational research: truth or urban legend?. ORM. 2006, 9: 221-232.Google Scholar
- Rugulies R, Aust B, Madsen IE, Burr H, Siegrist J, Bültmann U: Adverse psychosocial working conditions and risk of severe depressive symptoms. Do effects differ by occupational grade?. Eur J Public Health. 2012, 10.1093/eurpub/cks071.Google Scholar
- Siegrist J: Job control and reward: effects on well being. The Oxford Handbook of Organizational Well-being. Edited by: Cartwright S, Cartwright S, Cooper CL. 2009, 109-132. Oxford: Oxford University PressGoogle Scholar
- Benach Benach J, Muntaner C, Solar O, et al: Employment, work, and health inequalities: A Global perspective. 2007, Geneva: WHOGoogle Scholar
- Mangen S: Qualitative research methods in cross-national settings. Int J Soc Res Meth. 1999, 2: 109-124. 10.1080/136455799295087.View ArticleGoogle Scholar
- Wels JE, Horwood LI: How accurate is recall of key symptoms of depression? A comparison of recall and longitudinal reports. Psychol Med. 2004, 34: 1001-1011. 10.1017/S0033291703001843View ArticleGoogle Scholar
- Steptoe A, Kivimäki M: Stress and cardiovascular disease. Nat Rev Cardiol. 2012, 9: 360-370. 10.1038/nrcardio.2012.45View ArticlePubMedGoogle Scholar
- Chandola T, Heraclides A, Kumari M: Psychophysiological biomarkers of workplace stressors. Neurosci Biobehav Rev. 2010, 35: 51-57. 10.1016/j.neubiorev.2009.11.005View ArticlePubMedPubMed CentralGoogle Scholar
- Nakata A, Takahashib M, Irie M: Effort-reward imbalance, overcommitment, and cellular immune measures among white-collar employees. Biol Psychol. 2011, 88: 270-279. 10.1016/j.biopsycho.2011.08.012View ArticlePubMedGoogle Scholar
- Siegrist J, Rosskam E, Leka S: Review of Social Determinants of Health and the Health Divide in the WHO-European Region Report of Task Group 2: Employment and Working Conditions including Occupation, Unemployment and Migrant Workers. 2012, Copenhagen: World Health Organization: European OfficeGoogle Scholar
- Bourbonnais R, Brisson C, Vézina M: Long-term effects of an intervention on psychosocial work factors among healthcare professionals in a hospital setting. Occup Environ Med. 2011, 68: 479-486. 10.1136/oem.2010.055202View ArticlePubMedGoogle Scholar
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