Elaine Sjögren
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Elaine Sjögren has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
J. Ernerudh
1 shared publicationM. Kristenson
1 shared publicationMargareta Kristenson
Department of Health and Society, Linköping University, Linköping, Sweden
1 shared publication- Per Leanderson
Occupational and Environmental Medicine Center, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
1 shared publication
Latest Publications
- 1 May 2006
- Published by Elsevier in Brain, Behavior, and Immunity
- Vol. 20 (3) , 270-278
Interleukin-6 levels in relation to psychosocial factors: Studies on serum, saliva, and in vitro production by blood mononuclear cells
- 1 May 2006
- Published by Elsevier in Brain, Behavior, and Immunity
- Vol. 20 (3) , 270-278
Interleukin-6 levels in relation to psychosocial factors: Studies on serum, saliva, and in vitro production by blood mononuclear cells
- 1 January 2006
- Published by SAGE Publications in Scandinavian Journal of Public Health
- Vol. 34 (1) , 59-68
Can gender differences in psychosocial factors be explained by socioeconomic status?
Aims: The aims of this study were to examine (1) if associations between gender and psychosocial factors could be explained by socioeconomic status (SES) and (2) if associations between gender and psychosocial factors are more salient at lower levels of SES. Methods: Psychosocial factors such as decision latitude and social integration were studied in a cross-sectional study in two steps. In a public health survey, 4,086 randomly selected men and women aged 30—64 participated. Of these, 257 men and women also participated in an in-depth study. SES was measured in terms of education and occupation. Linear regression models were used to test associations between gender, SES, and a broad range of psychosocial factors. Results: Women reported lower scale scores on decision latitude, coping, and self-esteem, as well as more job strain, depression, and vital exhaustion, while men reported more cynicism (all p<0.05). Observed gender differences were still significant after control for effect of education, while after control for occupational status the effect of gender was lost for decision latitude and job strain. Significant interaction factors were found between gender and educational status for psychological demands, decision latitude, social integration, coping, and hopelessness. Conclusions: Gender differences, found for a broad range of psychosocial factors, could not be explained by SES. However, associations between gender and psychosocial factors were more salient at lower levels of SES. Psychosocial factors, especially decision latitude and social integration, may help explain why women with low SES experience poorer health.
- 1 January 2006
- Published by SAGE Publications in Scandinavian Journal of Public Health
- Vol. 34 (1) , 59-68
Can gender differences in psychosocial factors be explained by socioeconomic status?
Aims: The aims of this study were to examine (1) if associations between gender and psychosocial factors could be explained by socioeconomic status (SES) and (2) if associations between gender and psychosocial factors are more salient at lower levels of SES. Methods: Psychosocial factors such as decision latitude and social integration were studied in a cross-sectional study in two steps. In a public health survey, 4,086 randomly selected men and women aged 30—64 participated. Of these, 257 men and women also participated in an in-depth study. SES was measured in terms of education and occupation. Linear regression models were used to test associations between gender, SES, and a broad range of psychosocial factors. Results: Women reported lower scale scores on decision latitude, coping, and self-esteem, as well as more job strain, depression, and vital exhaustion, while men reported more cynicism (all p<0.05). Observed gender differences were still significant after control for effect of education, while after control for occupational status the effect of gender was lost for decision latitude and job strain. Significant interaction factors were found between gender and educational status for psychological demands, decision latitude, social integration, coping, and hopelessness. Conclusions: Gender differences, found for a broad range of psychosocial factors, could not be explained by SES. However, associations between gender and psychosocial factors were more salient at lower levels of SES. Psychosocial factors, especially decision latitude and social integration, may help explain why women with low SES experience poorer health.