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Mood and anxiety disorders across the adult lifespan: a European perspective

Published online by Cambridge University Press:  31 May 2013

R. D. McDowell*
Affiliation:
Institute of Nursing & Health Research, University of Ulster, Coleraine, N. Ireland
A. Ryan
Affiliation:
Institute of Nursing & Health Research, University of Ulster, Coleraine, N. Ireland
B. P. Bunting
Affiliation:
Psychology Research Institute, University of Ulster, Londonderry, N. Ireland
S. M. O'Neill
Affiliation:
Psychology Research Institute, University of Ulster, Londonderry, N. Ireland
J. Alonso
Affiliation:
Health Services Research Unit, IMIM-Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain; CIBER en Epidemiología y Salud Pública (CIBERESP), Spain; Department of Experimental and Health Sciences, Pompeu Fabra University (UPF), Barcelona, Spain
R. Bruffaerts
Affiliation:
Universitair Psychiatrisch Centrum – KU Leuven (UPC-KUL), KU Leuven, Leuven, Belgium
R. de Graaf
Affiliation:
Netherlands Institute of Mental Health and Addiction, Utrecht, the Netherlands
S. Florescu
Affiliation:
National School of Public Health, Management and Professional Development, Bucharest, Romania
G. Vilagut
Affiliation:
Health Services Research Unit, IMIM-Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain; CIBER en Epidemiología y Salud Pública (CIBERESP), Spain
J. M. C. de Almeida
Affiliation:
Departamento de Saúde Mental, Faculdade de Ciências Médicas, Portugal
G. de Girolamo
Affiliation:
IRCCS Centro S. Giovanni di Dio Fatebenefratelli, Italy
J. M. Haro
Affiliation:
Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, CIBER en Salud Mental, Spain
H. Hinkov
Affiliation:
National Center for Public Health Protection, Bulgaria
V. Kovess-Masfety
Affiliation:
EHESP, EA4069, Université Paris Descartes, SPC France
H. Matschinger
Affiliation:
University of Leipzig, Leipzig, Germany
T. Tomov
Affiliation:
Department of Psychiatry, Alexandrovsaka Hospital, Bulgaria
*
*Address for correspondence: Mr R. D. McDowell, Institute of Nursing and Health Research, School of Nursing, University of Ulster, Cromore Road, Coleraine, Co. Londonderry BT52 1SA, Northern Ireland, UK. (Email: McDowell-R3@email.ulster.ac.uk)

Abstract

Background

The World Mental Health Survey Initiative (WMHSI) has advanced our understanding of mental disorders by providing data suitable for analysis across many countries. However, these data have not yet been fully explored from a cross-national lifespan perspective. In particular, there is a shortage of research on the relationship between mood and anxiety disorders and age across countries. In this study we used multigroup methods to model the distribution of 12-month DSM-IV/CIDI mood and anxiety disorders across the adult lifespan in relation to determinants of mental health in 10 European Union (EU) countries.

Method

Logistic regression was used to model the odds of any mood or any anxiety disorder as a function of age, gender, marital status, urbanicity and employment using a multigroup approach (n = 35500). This allowed for the testing of specific lifespan hypotheses across participating countries.

Results

No simple geographical pattern exists with which to describe the relationship between 12-month prevalence of mood and anxiety disorders and age. Of the adults sampled, very few aged ⩾80 years met DSM-IV diagnostic criteria for these disorders. The associations between these disorders and key sociodemographic variables were relatively homogeneous across countries after adjusting for age.

Conclusions

Further research is required to confirm that there are indeed stages in the lifespan where the reported prevalence of mental disorders is low, such as among younger adults in the East and older adults in the West. This project illustrates the difficulties in conducting research among different age groups simultaneously.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2013 

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References

Aiken, LS, West, SG (1991). Multiple Regression: Testing and Interpreting Interactions. SAGE: London.Google Scholar
Alonso, J, Angermeyer, MC, Bernert, S, Bruffaerts, R, Brugha, TS, Bryson, H, de Girolamo, G, Graaf, R, Demyttenaere, K, Gasquet, I, Haro, JM, Katz, SJ, Kessler, RC, Kovess, V, Lépine, JP, Ormel, J, Polidori, G, Russo, LJ, Vilagut, G, Almansa, J, Arbabzadeh-Bouchez, S, Autonell, J, Bernal, M, Buist-Bouwman, MA, Codony, M, Domingo-Salvany, A, Ferrer, M, Joo, SS, Martínez-Alonso, M, Matschinger, H, Mazzi, F, Morgan, Z, Morosini, P, Palacín, C, Romera, B, Taub, N, Vollebergh, WA; ESEMeD/MHEDEA 2000 Investigators (2004 a). Sampling and methods of the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatrica Scandinavica 109 (Suppl. 420), 820.Google Scholar
Alonso, J, Angermeyer, MC, Bernert, S, Bruffaerts, R, Brugha, TS, Bryson, H, de Girolamo, G, Graaf, R, Demyttenaere, K, Gasquet, I, Haro, JM, Katz, SJ, Kessler, RC, Kovess, V, Lépine, JP, Ormel, J, Polidori, G, Russo, LJ, Vilagut, G, Almansa, J, Arbabzadeh-Bouchez, S, Autonell, J, Bernal, M, Buist-Bouwman, MA, Codony, M, Domingo-Salvany, A, Ferrer, M, Joo, SS, Martínez-Alonso, M, Matschinger, H, Mazzi, F, Morgan, Z, Morosini, P, Palacín, C, Romera, B, Taub, N, Vollebergh, WA; ESEMeD/MHEDEA 2000 Investigators (2004 b). Prevalence of mental disorders in Europe: results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychiatrica Scandinavica 109 (Suppl. 420), 2127.CrossRefGoogle Scholar
Andrews, G, Henderson, S, Hall, W (2001). Prevalence, comorbidity, disability and service utilisation: overview of the Australian National Mental Health Survey. British Journal of Psychiatry 178, 145153.Google Scholar
APA (1994). Diagnostic and Statistical Manual of Mental Disorders, 4th edn. American Psychiatric Publishing: Arlington, VA.Google Scholar
Ardelt, M, Landes, SD, Vaillant, GE (2010). The long-term effects of World War II combat exposure on later life well-being moderated by generativity. Research in Human Development 7, 202220.Google Scholar
Aromaa, E, Tolvanen, A, Tuulari, J, Wahlbeck, K (2011). Predictors of stigmatizing attitudes towards people with mental disorders in a general population in Finland. Nordic Journal of Psychiatry 65, 125132.Google Scholar
Bou, J, Satorra, A (2010). A multigroup structural equation approach: a demonstration by testing variation of firm profitability across EU samples. Organizational Research Methods 13, 738766.CrossRefGoogle Scholar
Breslau, J, Miller, E, Jin, R, Sampson, NA, Alonso, J, Andrade, LH, Bromet, EJ, de Girolamo, G, Demyttenaere, K, Fayyad, J, Fukao, A, Galaon, M, Gureje, O, He, Y, Hinkov, HR, Hu, C, Kovess-Masfety, V, Matschinger, H, Medina-Mora, ME, Ormel, J, Posada-Villa, J, Sagar, R, Scott, KM, Kessler, RC (2011). A multinational study of mental disorders, marriage, and divorce. Acta Psychiatrica Scandinavica 124, 474486.CrossRefGoogle ScholarPubMed
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, Lepine, JP, Levinson, D, Matschinger, H, Mora, ME, Browne, MO, Posada-Villa, J, Viana, MC, Williams, DR, Kessler, RC (2011). Cross-national epidemiology of DSM-IV major depressive episode. BMC Medicine 9, 90.Google Scholar
Bromet, EJ, Gluzman, SF, Paniotto, VI, Webb, CPM, Tintle, N, Zakhozha, V, Havenaar, JM, Gutkovich, Z, Kostyuchenko, S, Schwartz, JE (2005). Epidemiology of psychiatric and alcohol disorders in Ukraine: findings from the Ukraine World Mental Health Survey. Social Psychiatry and Psychiatric Epidemiology 40, 681690.Google Scholar
Byrne, BM (2011). Structural Equation Modelling with Mplus. Routledge: New York.Google Scholar
Coleman, PG, Carare, RO, Petrov, I, Forbes, E, Saigal, A, Spreadbury, JH, Yap, A, Kendrick, T (2011). Spiritual belief, social support, physical functioning and depression among older people in Bulgaria and Romania. Aging and Mental Health 15, 327333.Google Scholar
Cook, RD, Weisberg, S (1982). Residuals and Influence in Regression. Chapman and Hall: New York.Google Scholar
Copeland, JR, Dewey, ME, Griffiths-Jones, HM (1986). A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT. Psychological Medicine 16, 8999.CrossRefGoogle ScholarPubMed
Davidson, G, Leavey, G (2010). Promoting mental health in Northern Ireland: addressing division, inequality and stigma. Journal of Public Mental Health 9, 615.Google Scholar
Dekker, J, Peen, J, Koelen, J, Smit, F, Schoevers, R (2008). Psychiatric disorders and urbanization in Germany. BMC Public Health 8, 17.Google Scholar
DHSSPSNI (2008). Adult Community Statistics: 1st April 2007-31st March 2008. Department of Health, Social Services and Public Safety: Northern Ireland (www.dhsspsni.gov.uk/adult-community-statistics07-08.pdf). Accessed 17 December 2012.Google Scholar
Ernst, C, Angst, J (1995). Depression in old age: is there a real decrease in prevalence? A review. European Archives of Psychiatry and Clinical Neuroscience 245, 272287.Google Scholar
EUROPA (2008). Suicide-Related Deaths in an Enlarged European Union (http://ec.europa.eu/health/mental_health/eu_compass/reports_studies/anamort.pdf). Accessed 17 December 2012.Google Scholar
EUROPA (2012). Regional GDP per Capita in 2009: Seven Capital Regions in the Ten First Places (http://europa.eu/rapid/pressReleasesAction.do?reference=STAT/12/38&format=HTML&aged=0&language=EN&guiLanguage=en). Accessed 1 April 2012.Google Scholar
Ferry, F, Bolton, D, Bunting, B, Devine, B, McCann, B, Murphy, S (2008). Trauma, Health and Conflict in Northern Ireland. A study of the epidemiology of trauma related disorders and qualitative investigation of the impact of trauma on the individual. Northern Ireland Centre for Trauma and Transformation and University of Psychology Research Institute, Londonderry (www.nictt.org/attachments/article/22/NICTT%20THC%20in%20NI.pdf). Accessed 17 December 2012.Google Scholar
First, MB, Spitzer, RL, Gibbon, M, Williams, JBW (1995). User's Guide for the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I/P) (Version 2.0). Biometrics Research Department, New York State Psychiatric Institute: New York.Google Scholar
Florescu, S, Ciutan, M, Popovici, G, Galaon, M, Ladea, M, Pethukova, M, Hoffnagle, A (2009). The Romanian Mental Health Study: main aspects of lifetime prevalence and service use of DSM-IV disorders. Management in Health 13, 2229.CrossRefGoogle Scholar
Fuentes, K, Cox, BJ (1997). Prevalence of anxiety disorders in elderly adults: a critical analysis. Journal of Behavior Therapy and Experimental Psychiatry 28, 269279.Google Scholar
Giannakouris, K (2008). Ageing Characterises the Demographic Perspectives of the European Societies (http://epp.eurostat.ec.europa.eu/cache/ITY_OFFPUB/KS-SF-08-072/EN/KS-SF-08-072-EN.PDF). Accessed 30 May 2012.Google Scholar
Gibb, SJ, Fergusson, DM, Horwood, LJ (2011). Relationship separation and mental health problems: findings from a 30-year longitudinal study. Australian and New Zealand Journal of Psychiatry 45, 163169.Google Scholar
Green, SB, Babyak, MA (1997). Control of Type I errors with multiple tests of constraints in structural equation modeling. Multivariate Behavioral Research 32, 3951.Google Scholar
Greenland, S, Maclure, M, Schlesselman, JJ, Poole, C, Morgenstern, H (1991). Standardized regression coefficients: a further critique and review of some alternatives. Epidemiology 2, 387392.Google Scholar
Guerra, M, Ferri, CP, Sosa, AL, Salas, A, Gaona, C, Gonzales, V, de la Torre, GR, Prince, M (2009). Late-life depression in Peru, Mexico and Venezuela: the 10/66 population-based study. British Journal of Psychiatry 195, 510515.Google Scholar
Haro, JM, Arbabzadeh-Bouchez, S, Brugha, TS, Girolamo, G, Guyer, ME, Jin, R, Lepine, JP, Mazzi, F, Reneses, B, Vilagut, G, Sampson, NA, Kessler, RC (2006). Concordance of the Composite International Diagnostic Interview Version 3.0 (CIDI 3.0) with standardized clinical assessments in the WHO World Mental Health Surveys. International Journal of Methods in Psychiatric Research 15, 167180.Google Scholar
Honkonen, T, Virtanen, M, Ahola, K, Kivimaki, M, Pirkola, S, Isometsa, E, Aromaa, A, Lonnqvist, J (2007). Employment status, mental disorders and service use in the working age population. Scandinavian Journal of Work, Environment and Health 33, 2936.Google Scholar
Jang, S, Kawachi, I, Chang, J, Boo, K, Shin, H, Lee, H, Cho, S (2009). Marital status, gender, and depression: analysis of the baseline survey of the Korean Longitudinal Study of Ageing (KLoSA). Social Science and Medicine 69, 16081615.CrossRefGoogle ScholarPubMed
Jeste, DV, Blazer, DG, First, MB (2007). Aging-related diagnostic variations: need for diagnostic criteria appropriate for elderly psychiatric patients. In Age and Gender Considerations in Psychiatric Diagnosis: A Research Agenda for DSM-V (ed. William, E., First, M. B., Sirovatka, P. J. and Regier, D. A.), pp. 273288. American Psychiatric Publishing: Arlington, VA.Google Scholar
Kaplan, D, Wenger, RN (1993). Asymptotic independence and separability in covariance structure models: implications for specification error, power, and model modification. Multivariate Behavioral Research 28, 467482.Google Scholar
Kessler, RC (2006). The epidemiology of depression among women. In Women and Depression: A Handbook for the Social, Behavioral, and Biomedical Sciences (ed. Keyes, C. L. M. and Goodman, S. H.), pp. 2237. Cambridge University Press: New York.Google Scholar
Kessler, RC, Abelson, J, Demler, O, Escobar, JI, Gibbon, M, Guyer, ME, Howes, MJ, Jin, R, Vega, WA, Walters, EE, Wang, P, Zaslavsky, A, Zheng, H (2004). Clinical calibration of DSM-IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH-CIDI). International Journal of Methods in Psychiatric Research 13, 122139.CrossRefGoogle ScholarPubMed
Kessler, RC, Birnbaum, H, Bromet, E, Hwang, I, Sampson, N, Shahly, V (2010). Age differences in major depression: results from the National Comorbidity Survey Replication (NCS-R). Psychological Medicine 40, 225237.Google Scholar
Kessler, RC, Üstün, TB (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research 13, 93121.Google Scholar
Knauper, B, Wittchen, HU (1994). Diagnosing major depression in the elderly: evidence for response bias in standardized diagnostic interviews? Journal of Psychiatric Research 28, 147164.Google Scholar
Kovess-Masfety, V, Lecoutour, X, Delavelle, S (2005). Mood disorders and urban/rural settings: comparisons between two French regions. Social Psychiatry and Psychiatric Epidemiology 40, 613618.Google Scholar
Kruijshaar, ME, Barendregt, J, Vos, T, de Graaf, R, Spijker, J, Andrews, G (2005). Lifetime prevalence estimates of major depression: an indirect estimation method and a quantification of recall bias. European Journal of Epidemiology 20, 103111.Google Scholar
Kuruvilla, A, Jacob, KS (2007). Poverty, social stress and mental health. Indian Journal of Medical Research 126, 273278.Google Scholar
Kuwert, P, Knaevelsrud, C, Rosenthal, J, Dudeck, M, Freyberger, HJ, Spitzer, C (2008). Quality of life and sense of coherence in former German child soldiers of World War II. Psychiatrische Praxis 35, 399403.Google Scholar
LaPierre, TA (2009). Marital status and depressive symptoms over time: age and gender variations. Family Relations 58, 404416.Google Scholar
MacCallum, RC, Zhang, S, Preacher, KJ, Rucker, DD (2002). On the practice of dichotomization of quantitative variables. Psychological Methods 7, 1940.Google Scholar
McDougall, FA, Kvaal, K, Matthews, FE, Paykel, E, Jones, PB, Dewey, M, Brayne, C (2007). Prevalence of depression in older people in England and Wales: the MRC CFA study. Psychological Medicine 37, 17871795.Google Scholar
Muthén, LK, Muthén, BO (1998–2013). Mplus User's Guide, 6th edn. Muthén & Muthén: Los Angeles, CA.Google Scholar
Newman, SC, Sheldon, CT, Bland, RC (1998). Prevalence of depression in an elderly community sample: a comparison of GMS-AGECAT and DSM-IV diagnostic criteria. Psychological Medicine 28, 13391345.Google Scholar
NIMHE (2005). Facts for Champions. National Institute for Mental Health in England, Department of Health: London.Google Scholar
Oberski, D (2009). J-Rule for Mplus (https://github.com/daob/JruleMplus/wiki). Accessed 1 July 2011.Google Scholar
O'Connor, DW (2006). Do older Australians truly have low rates of anxiety and depression? A critique of the 1997 National Survey of Mental Health and Wellbeing. Australian and New Zealand Journal of Psychiatry 40, 623631.Google Scholar
O'Connor, DW, Parslow, RA (2009). Different responses to K-10 and CIDI suggest that complex structured psychiatric interviews underestimate rates of mental disorder in old people. Psychological Medicine 39, 15271531.Google Scholar
Patten, SB (2007). An animated depiction of major depression epidemiology. BMC Psychiatry 7, 23.Google Scholar
Prina, AM, Ferri, CP, Guerra, M, Brayne, C, Prince, M (2011). Co-occurrence of anxiety and depression amongst older adults in low- and middle-income countries: findings from the 10/66 study. Psychological Medicine 41, 20472056.Google Scholar
Riedel-Heller, SG, Busse, A, Angermeyer, MC (2006). The state of mental health in old-age across the ‘old’ European Union – a systematic review. Acta Psychiatrica Scandinavica 113, 388401.Google Scholar
Rogler, LH, Malgady, RG, Tryon, WW (1992). Evaluation of mental health: Issues of memory in the Diagnostic Interview Schedule. Journal of Nervous and Mental Disease 180, 215222.Google Scholar
Rotermann, M (2007). Marital breakdown and subsequent depression. Health Reports 18, 3344.Google ScholarPubMed
Saris, WE, Satorra, A, van der Veld, WM (2009). Testing structural equation models or detection of misspecifications? Structural Equation Modeling 16, 561582.Google Scholar
Schaub, RT, Linden, M, Copeland, JR (2003). A comparison of GMS-A/AGECAT, DSM-III-R for dementia and depression, including subthreshold depression (SD) – results from the Berlin Aging Study (BASE). International Journal of Geriatric Psychiatry 18, 109117.Google Scholar
Scott, KM, Von Korff, M, Alonso, J, Angermeyer, M, Bromet, EJ, Bruffaert, R, de Girolamo, G, de Graaf, R, Fernandez, A, Gureje, O, He, Y, Kessler, RC, Kovess, V, Levinson, D, Medina-Mora, ME, Mneimneh, Z, Browne, MAO, Posada-Villa, J, Tachimori, H, Williams, D (2008). Age patterns in the prevalence of DSM-IV depressive/anxiety disorders with and without physical co-morbidity. Psychological Medicine 38, 16591669.Google Scholar
Scowcroft, E (2012). Suicide Statistics Report 2012: Data for 2008–2010. Samaritans: London.Google Scholar
Selig, JP, Card, NA, Little, TD (2008). Latent variable structural equation modeling in cross cultural research: multigroup and multilevel approaches. In Multilevel Analysis of Individuals and Cultures (ed. van de Vijver, F. J. R., van Hemert, D. A. and Poortinga, Y. H.), pp. 93119. Taylor & Francis Group/Lawrence Erlbaum Associates: New York.Google Scholar
Snowdon, J (2001). Prevalence of depression in old age. British Journal of Psychiatry 178, 476477.Google Scholar
StataCorp (2009). Stata Statistical Software, Release 11. StataCorp LP: College Station, TX.Google Scholar
Tomov, T, Hinkov, H, Zarkov, Z, Mladenova, M, Vasilev, S, Okolyiski, M (2008). National Representative Epidemiological Survey of Common Mental Illness in Bulgaria. Social Medicine 4, 1621.Google Scholar
Tomov, T, Mladenova, M, Lazarova, I, Sotirov, V, Okoliyski, M (2004). Bulgaria mental health country profile. International Review of Psychiatry 16, 93106.Google Scholar
Van de Velde, S, Bracke, P, Levecque, K (2010). Gender differences in depression in 23 European countries. Cross-national variation in the gender gap in depression. Social Science and Medicine 71, 305313.Google Scholar
van der Veld, WM, Saris, WE, Satorra, A (2008). JRule 3.0: User's Guide (www.vanderveld.nl). Accessed 17 December 2012.Google Scholar
Weinberg, CR (1995). How bad is categorization? Epidemiology 6, 345347.Google Scholar
Weng, G (2010). Statistical Analysis of Pearson Residuals in Survey Logistic Regression Diagnosis (www.amstat.org/sections/srms/proceedings/y2010/Files/308783_61605.pdf). Accessed 30 May 2012.Google Scholar
Wetherell, JL, Petkus, AJ, McChesney, K, Stein, MB, Judd, PH, Rockwell, E, Sewell, DD, Patterson, TL (2009). Older adults are less accurate than younger adults at identifying symptoms of anxiety and depression. Journal of Nervous and Mental Disease 197, 623626.CrossRefGoogle ScholarPubMed
Wittchen, HU, Jacobi, F, Rehm, J, Gustavsson, A, Svensson, M, Jonsson, B, Olesen, J, Allgulander, C, Alonso, J, Faravelli, C, Fratiglioni, L, Jennum, P, Lieb, R, Maercker, A, van Os, J, Preisig, M, Salvador-Carulla, L, Simon, R, Steinhausen, HC (2011). The size and burden of mental disorders and other disorders of the brain in Europe 2010. European Neuropsychopharmacology 21, 655679.Google Scholar
Wolter, KM (2007). Introduction to Variance Estimation, 2nd edn. Springer Science+Business Media: New York.Google Scholar
Woodal, A, Morgan, C, Sloan, C, Howard, L (2010). Barriers to participation in mental health research: are there specific gender, ethnicity and age related barriers? BMC Psychiatry 10, 103.Google Scholar
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