Hostname: page-component-cc8bf7c57-j4qg9 Total loading time: 0 Render date: 2024-12-11T00:41:49.058Z Has data issue: false hasContentIssue false

The relationship between socio-economic status and antidepressant prescription: a longitudinal survey and register study of young adults

Published online by Cambridge University Press:  17 November 2011

T. von Soest*
Affiliation:
Norwegian Social Research (NOVA), Oslo, Norway Department of Children and Adolescent Mental Health, Norwegian Institute of Public Health, Oslo, Norway
J. G. Bramness
Affiliation:
Department of Pharmacoepidemiology, Norwegian Institute of Public Health, Oslo, Norway Norwegian Centre for Addiction Research (SERAF), University of Oslo, Oslo, Norway
W. Pedersen
Affiliation:
Department of Sociology and Human Geography, University of Oslo, Oslo, Norway Norwegian Institute for Alcohol and Drug Research (SIRUS), Oslo, Norway
L. Wichstrøm
Affiliation:
Department of Psychology, Norwegian University of Science and Technology, Trondheim, Norway
*
*Address for correspondence: Tilmann von Soest, Norwegian Social Research (NOVA), P.O. Box 3223, Oslo, Norway. (Email: tvs@nova.no)

Abstract

Aims.

The current study examines the relationship between socio-economic status (SES) and antidepressant prescription among young adults and investigates mechanisms that could explain such a potential social gradient.

Methods.

Longitudinal survey data from a population-based Norwegian sample (N = 2606) was collected in four waves over a 13-year period. The data were linked to register data on antidepressant prescription and several indicators of SES (education, income, social or unemployment benefits, disability or rehabilitation benefits and parents' education).

Results.

Apart from parents' education, all indicators of low SES were related to higher rates of antidepressant prescription. A part of the relationship between SES and antidepressant prescription was due to low SES being related to higher levels of anxiety and depression. Moreover, low SES was related to more frequent use of mental health services, which again was related to higher rates of antidepressant prescription. Both contact with physicians and other mental healthcare professionals accounted for some of the relationship between SES and antidepressant prescription.

Conclusions.

The study provides information about mechanisms involved in the relationship between low SES and antidepressant prescription. More research is needed about whether a comparable social gradient in antidepressant prescription is also to be found outside the Nordic countries.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Andersen, I, Thielen, K, Nygaard, E, Diderichsen, F (2009). Social inequality in the prevalence of depressive disorders. Journal of Epidemiology and Community Health 63, 575581.CrossRefGoogle ScholarPubMed
Baron, RM, Kenny, DA (1986). The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51, 11731182.CrossRefGoogle ScholarPubMed
Bramness, JG, Walby, FA, Tverdal, A (2007). The sales of antidepressants and suicide rates in Norway and its counties 1980–2004. Journal of Affective Disorders 102, 19.CrossRefGoogle ScholarPubMed
Brugha, TS, Bebbington, PE, Singleton, N, Melzer, D, Jenkins, R, Lewis, G, Farrell, M, Bhugra, D, Lee, A, Meltzer, H (2004). Trends in service use and treatment for mental disorders in adults throughout Great Britain. British Journal of Psychiatry 185, 378384.CrossRefGoogle ScholarPubMed
Croghan, TW (2001). The controversy of increased spending for antidepressants. Health Affairs 20, 129135.CrossRefGoogle ScholarPubMed
Croghan, TW, Schoenbaum, M, Sherbourne, CD, Koegel, P (2006). A framework to improve the quality of treatment for depression in primary care. Psychiatric Services 57, 623630.CrossRefGoogle ScholarPubMed
Derogatis, LR, Lipman, RS, Rickels, K, Uhlenhuth, EH, Covi, L (1974). The Hopkins Symptom Checklist (HSCL): a self-report symptom inventory. Behavioral Science 19, 115.CrossRefGoogle ScholarPubMed
Furu, K, Wettermark, B, Andersen, M, Martikainen, JE, Almarsdottir, AB, Sørensen, HT (2010). The Nordic countries as a cohort for pharmacoepidemiological research. Basic and Clinical Pharmacology and Toxicology 106, 8694.CrossRefGoogle ScholarPubMed
Garner, DM, Olmsted, MP, Bohr, Y, Garfinkel, PE (1982). The eating attitudes test: psychometric features and clinical correlates. Psychological Medicine 12, 871878.CrossRefGoogle ScholarPubMed
Hansen, DG, Rosholm, JU, Gichangi, A, Vach, W (2007). Increased use of antidepressants at the end of life: population-based study among people aged 65 years and above. Age and Ageing 36, 449454.CrossRefGoogle ScholarPubMed
Hansen, DG, Søndergaard, J, Vach, W, Gram, LF, Rosholm, JU, Mortensen, PB, Kragstrup, J (2004). Socio-economic inequalities in first-time use of antidepressants: a population-based study. European Journal of Clinical Pharmacology 60, 5155.CrossRefGoogle ScholarPubMed
Isacsson, G (2000). Suicide prevention – a medical breakthrough? Acta Psychiatrica Scandinavica 102, 113117.CrossRefGoogle ScholarPubMed
Isacsson, G, Boëthius, G, Henriksson, S, Jones, JK, Bergman, U (1999). Selective serotonin reuptake inhibitors have broadened the utilisation of antidepressant treatment in accordance with recommendations. Findings from a Swedish prescription database. Journal of Affective Disorders 53, 1522.CrossRefGoogle ScholarPubMed
Iversen, T, Kopperud, GS (2005). Regulation versus practice – the impact of accessibility on the use of specialist health care in Norway. Health Economics 14, 12311238.CrossRefGoogle ScholarPubMed
Jureidini, J, Tonkin, A (2006). Overuse of antidepressant drugs for the treatment of depression. CNS Drugs 20, 623632.CrossRefGoogle ScholarPubMed
Kivimäki, M, Gunnell, D, Lawlor, DA, Smith, GD, Pentti, J, Virtanen, M, Elovainio, M, Klaukka, T, Vahtera, J (2007). Social inequalities in antidepressant treatment and mortality: a longitudinal register study. Psychological Medicine 37, 373382.CrossRefGoogle ScholarPubMed
Lavik, NJ, Clausen, SE, Pedersen, W (1991). Eating behaviour, drug use, psychopathology and parental bonding in adolescents in Norway. Acta Psychiatrica Scandinavica 84, 387390.CrossRefGoogle ScholarPubMed
Lorant, V, Deliège, D, Eaton, W, Robert, A, Philippot, P, Ansseau, M (2003). Socioeconomic inequalities in depression: a meta-analysis. American Journal of Epidemiology 157, 98112.CrossRefGoogle ScholarPubMed
MacKinnon, DP, Dwyer, JH (1993). Estimating mediated effects in prevention studies. Evaluation Review 17, 144158.CrossRefGoogle Scholar
Mojtabai, R (2008). Increase in antidepressant medication in the US adult population between 1990 and 2003. Psychotherapy and Psychosomatics 77, 8392.CrossRefGoogle ScholarPubMed
Sobel, ME (1982). Asymptotic confidence intervals for indirect effects in structural equations models. In Sociological Methodology 1982 (ed. Leinhart, S), pp. 290312. Jossey-Bass: San Francisco, CA.Google Scholar
Suminen-Taipale, AL, Koskinen, S, Martelin, T, Holmen, J, Johnsen, R (2004). Differences in older adults' use of primary and specialist care services in two Nordic countries. European Journal of Public Health 14, 375380.CrossRefGoogle Scholar