Depression in Europe

Copeland, J. R. M.; Beekman, Aartjan T.F.; Dewey, Michael; Hooijer, C.; Jordan, Ashley C.; Lawlor, Brian A.; Lobo, A. G. S.; Magnusson, H.; Mann, Anthony; Meller, I.; Prince, Martin; Reischies, Friedel M.; Turrina, Cesare; deVries, Marten W.; Wilson, Kenneth

doi:10.1192/bjp.174.4.312

Cited by 212 publications

(37 citation statements)

References 30 publications

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“…This is a first indication of the coexistence of two factors within the EURO-D scale. This finding is also consistent with results from the EUROPED study (Prince et al 1999a, b;Copeland et al 2004) where it was found that, across 14 European centres, these symptoms could be separated into two factors with loss of interest, poor concentration and lack of enjoyment loaded on the first one--called ''motivation''--and depression, tearfulness and wishing to die comprising the second--called ''affective suffering'' or ''depressed affect''. We also use these terms in our study.…”

Section: Discussionsupporting

confidence: 83%

“…The differentiation between the two components of the EURO-D scale has a strong potential for further exploration. Copeland et al (2004) suggest that while symptoms of depression increase with age, prevalence in later life may be over-diagnosed due to an increase in complaints of lack of interest and motivation which may be affectively neutral and related to cognitive decline.…”

Section: Discussionmentioning

confidence: 99%

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Socio-demographic and health-related factors affecting depression of the Greek population in later life: an analysis using SHARE data

Verropoulou

Tsimbos

2007

Eur J Ageing

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Depression in later life is one of the most prevalent conditions forecasted to rise to the second most burdensome health condition worldwide by 2020. Using data from the 2004 Study of Health Ageing and Retirement in Europe (SHARE: release 1) on 857 Greek males and 1,032 females aged 50 or higher this study explores, firstly, associations of socio-demographic and health related indicators with depressive symptoms (EURO-D) and, secondly, attempts to identify patterns and structures among them. To achieve the first objective, the 12-item summated EURO-D scale is used in binary form with a cut-off point clinically validated by the EURODEP. Use of logistic regression pinpoints strong associations with gender, years of education, co-morbidity, disability, cognitive function and past depression. Women, less educated persons, those with poor physical health, declining cognitive function and a history of depression are significantly more at risk of scoring higher than three at the EURO-D scale. The role of age is not as clear. To achieve the second objective, multiple correspondence analysis is used in the first instance and factor analysis for binary data subsequently; two components are identified within EURO-D and continuous factor scores are produced. These factors are called ''affective suffering'' and ''motivation''. Linear regression models reveal that the first component is responsible for the gender while the second for the age differentials in EURO-D; additionally we find that, apart from physical health indicators which are strongly related to both factors, other associations differ. Further exploration of this differentiation seems of interest, particularly as there is an indication that ''motivation'' may be an affectively neutral condition.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 99%

Socio-demographic and health-related factors affecting depression of the Greek population in later life: an analysis using SHARE data

Verropoulou

Tsimbos

2007

Eur J Ageing

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“…Women's help-seeking behavior has been described in the literature, where women are reported to be more vulnerable, passive, dependent, and at risk of depression. These findings correspond with those of two large-scale international studies, the EURODEP [28] and the SHARE study [29], which unfortunately did not provide age groupspecific prevalence rates, but suggested that in later life, age and gender are influenced by two factors, affective suffering (including depression, tearfulness, suicidality, sleep problems) and motivational factor (comprising enjoyment, interest, concentration). Women scored higher on the affective suffering factor, while advanced age scored higher on the motivational factor [30].…”

Section: Discussionsupporting

confidence: 65%

Implementation Strategies for Improving the Care of Depressed Elderly Persons—Summary of an International Workshop

Severinsson¹,

Holm²

2014

OJN

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The aim of the study was to identify the most important research priorities as well as future strategies for promoting and implementing evidence-based care of depressed elderly persons. An interdisciplinary workshop was organized using a focus group format and the transcript of the discussion was interpreted by means of the qualitative content analysis. The most important research priorities for improving the care of depressed elderly persons, implementation levels, theoretical approaches as well as possible outcomes were analysed on individual consumer, healthcare system, and policy level. A wide range of theories and methods are necessary to identify and explain implementation processes and results. Qualitative and quantitative methodologies in combination with knowledge synthesis were discussed. In addition, the need to summarize the literature in terms of specific issues was emphasized. In conclusion, the implementation strategies for improving the care of depressed elderly persons should be addressed on three levels: individual consumer, healthcare system and policy. Although some aspects of the implementation model may need to be enhanced, the fact that it includes conditions on individual level, i.e. self-management support, is of importance. The expansion and maintenance of evidence-based care generate potential for change in mental healthcare, thus improving outcomes for individual elderly patients. Areas that require further research are organization, cost and leadership. The use of mixed methods could strengthen future studies. Implementation researchers need a broad repertoire in order to plan and perform evidence-based research. To improve practice, implementation strategies should be developed in clinical and community guidelines.

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“…Depression is a common and burdensome disorder in older individuals (Beekman et al, 1999;Copeland et al, 2004). While the prevalence of major depression (MDD) is relatively low (1.8%), the prevalence of all clinically relevant depressive syndromes, some of which do not fully fulfill criteria for MDD, is high (13.5%) in community dwelling elderly (Beekman et al, 1999).…”

Section: Introductionmentioning

confidence: 99%

Serum insulin-like growth factor 1 and late-life depression: A population-based study

Varsseveld

Bunderen

Sohl

et al. 2015

Psychoneuroendocrinology

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Depression in Europe

Cited by 212 publications

References 30 publications

Socio-demographic and health-related factors affecting depression of the Greek population in later life: an analysis using SHARE data

Socio-demographic and health-related factors affecting depression of the Greek population in later life: an analysis using SHARE data

Implementation Strategies for Improving the Care of Depressed Elderly Persons—Summary of an International Workshop

Serum insulin-like growth factor 1 and late-life depression: A population-based study

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