Contextual Determinants of Hopelessness: Investigating Socioeconomic Factors and Emotional Climates
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Perceptions of the future are crucial components of individual well-being. Hopelessness, which is the sense that the future is a dead end, begins with the occurrence of negative life events and develops through the perception of consistent and pervasive negative outcomes. This study investigated the role of the socioeconomic aspects of the context and shared emotions (emotional climates) within a region in reducing or exacerbating hopelessness. Emotional climates have been defined as the emotional relationships constructed among members of a society, and they describe the environmental quality of a particular community. Multilevel modeling with individuals nested into regions (i.e., Swiss cantons) was used to explore the relationship between context and hopelessness. Data from the project “Vulnerability and Growth,” the Swiss Household Panel and official socioeconomic indicators were used. Spatial-weighting methods were applied to estimate depressive and optimistic emotional climates at the canton level. The results show that hopelessness is primarily affected by individual factors such as personality and life events. However, the analyses revealed that socioeconomic conditions and the optimistic and depressive climates that prevail in cantons also affected individuals’ perceptions of hopelessness. Individuals were more likely to feel hopeless in cantons with high unemployment rates and high levels of shared negative emotions. In contrast, positive emotional climates played a protective role against hopelessness. Acknowledgment of the influence of context on individuals’ perceptions of the future and the correlation of their states of anxiety and depression is pivotal for planning effective interventions to prevent depression.
KeywordsDepression Emotions Life change events Protective factors Risk factors
This study is the result of research developed within the framework of the Swiss National Centre of Competence in Research LIVES, which is financed by the Swiss National Science Foundation. The author is grateful to the Principal Investigator of “Vulnerability and Growth,” Prof. Pasqualina Perrig-Chiello, and the Swiss National Science Foundation for its financial support. This study also uses the data collected by the Swiss Household Panel (SHP), which is based at the Swiss Centre of Expertise in the Social Sciences FORS. The project is financed by the Swiss National Science Foundation.
- Bates, D., Maechler, M., Bolker, B., & Walker, S. (2013). lme4: Linear mixed-effects models using eigen and s4. Retrieved from http://CRAN.R-project.org/package=lme4.
- Beck, A. T., Steer, R. A., Beck, J. S., & Newman, C. F. (1993). Hopelessness, depression, suicidal ideation, and clinical diagnosis of depression. Suicide and Life-Threatening Behavior, 23(2), 139–145.Google Scholar
- Benasayag, M., & Schmit, G. (2003). Les passions tristes. Paris: La Découvert.Google Scholar
- Chapman, G. B., Brewer, N. T., Coups, E. J., Brownlee, S., Leventhal, H., & Leventhal, E. A. (2001). Value for the future and preventive health behavior. Journal of Experimental Psychology: Applied, 7, 235–250.Google Scholar
- De Rivera, J. (1992). Emotional climate: Social structure and emotional dynamics. International Review of Studies on Emotion, 2, 197–218.Google Scholar
- Dyck, M. J. (1991). Positive and negative attitudes mediating suicide ideation. Suicide and Life-Threatening Behavior, 21(4), 360–373.Google Scholar
- Hautzinger, M., & Bailer, M. (1993). ADS: Allgemeine depressions skala. Weinheim: Beltz.Google Scholar
- Hox, J. (2002). Multilevel analysis. Techniques and approaches. Mahway, NJ: Erlbaum.Google Scholar
- Hutchison, S., Perrig-Chiello, P., Höpflinger, F., Morselli, D., van Rhee, E., & Spini, D. (2013). Vulnerability and growth. Developmental dynamics and differential effects of the loss of an intimate partner in the second half of life. LIVES Working Papers (2013). doi: 10.12682/lives.2296-1658.2013.23
- Junge, T., Penic, S., Cossuta, M., & Elcheroth, G. (2013). spacom: Spatially weighted context data for multilevel modelling. Retrieved from http://CRAN.R-project.org/package=spacom.
- Kashani, J. H., Suarez, L., Allan, W. D., & Reid, J. C. (1997). Hopelessness in inpatient youths: A closer look at behavior, emotional expression, and social support. Journal of the American Academy of Child and Adolescent Psychiatry, 36(11), 1625–1631.Google Scholar
- Kovacs, M., Beck, A. T., & Weissman, A. (1975). Hopelessness: An indicator of suicidal risk. Suicide, 5(2), 98–103.Google Scholar
- Krampen, G., & Beck, A. T. (1994). Skalen zur erfassung von hoffnungslosigkeit (h-skalen). Göttingen: Hogrefe.Google Scholar
- Maas, C. J., & Hox, J. J. (2002). Robustness of multilevel parameter estimates against small sample sizes. Utrecht: Utrecht University.Google Scholar
- Mazza, J. J., & Reynolds, W. M. (1998). A longitudinal investigation of depression, hopelessness, social support, and major and minor life events and their relation to suicidal ideation in adolescents. Suicide and Life-Threatening Behavior, 28(4), 358–374.Google Scholar
- Neteler, M., Bowman, M. H., Landa, M., & Metz, M. (2012). GRASS GIS: A multi-purpose open source GIS. Environmental Modelling & Software, 31, 124–130. Retrieved 2013-12-19, from http://linkinghub.elsevier.com/retrieve/pii/S1364815211002775.
- Revelle, W. (2013). psych: Procedures for psychological, psychometric, and personality research. Evanston, Illinois. Retrieved from http://CRAN.R-project.org/package=psych.
- Rimé, B. (2005). Le partage social des émotions. Paris: Presses universitaires de France.Google Scholar
- SFO. (2015). Mobility and transport. Neuchâtel: Swiss Federal Statistical Office.Google Scholar
- Wetzel, R. D., Margulies, T., Davis, R., & Karam, E. (1980). Hopelessness, depression, and suicide intent. Journal of Clinical Psychiatry, 33(9), 1069–1073.Google Scholar