H. Van Oyen

Bio: H. Van Oyen is an academic researcher from French Institute of Health and Medical Research. The author has contributed to research in topics: Population & Health indicator. The author has an hindex of 4, co-authored 5 publications receiving 825 citations.

Development of the EURO-D scale--a European, Union initiative to compare symptoms of depression in 14 European centres.

Abstract: BACKGROUND In an 11-country European collaboration, 14 population-based surveys included 21,724 subjects aged > or = 65 years. Most participating centres used the Geriatric Mental State (GMS), but other measures were also used. AIMS To derive from these instruments a common depression symptoms scale, the EURO-D, to allow comparison of risk factor profiles between centres. METHOD Common items were identified from the instruments. Algorithms for fitting items to GMS were derived by observation of item correspondence or expert opinion. The resulting 12-item scale was checked for internal consistency, criterion validity and uniformity of factor-analytic profile. RESULTS The EURO-D is internally consistent, capturing the essence of its parent instrument. A two-factor solution seemed appropriate: depression, tearfulness and wishing to die loaded on the first factor (affective suffering), and loss of interest, poor concentration and lack of enjoyment on the second (motivation). CONCLUSIONS The EURO-D scale should permit valid comparison of risk-factor associations between centres, even if between-centre variation remains difficult to attribute.

Depression symptoms in late life assessed using the EURO-D scale. Effect of age, gender and marital status in 14 European centres.

Abstract: BACKGROUND Data from surveys involving 21,724 subjects aged > or = 65 years were analysed using a harmonised depression symptom scale, the EURO-D. AIMS To describe and compare the effects of age, gender and mental status on depressive symptoms across Europe. METHOD We tested for the effects of centre, age, gender and marital status on EURO-D score. Between-centre variance was partitioned according to centre characteristics: region, religion and survey instrument used. RESULTS EURO-D scores tended to increase with age, women scored higher than men, and widowed and separated subjects scored higher than others. The EURO-D scale could be reduced into two factors: affective suffering, responsible for the gender difference, and motivation, accounting for the positive association with age. CONCLUSIONS Large between-centre differences in depression symptoms were not explained by demography or by the depression measure used in the survey. Consistent, small effects of age, gender and marital status were observed across Europe. Depression may be overdiagnosed in older persons because of an increase in lack of motivation that may be affectively neutral, and is possibly related to cognitive decline.

Gender differences in health of EU10 and EU15 populations: the double burden of EU10 men

Abstract: This study compares gender differences in Healthy Life Years (HLY) and unhealthy life years (ULY) between the original (EU15) and new member states (EU10). Based on the number of deaths, population and prevalence of activity limitations from the Statistics of Living and Income Conditions Survey (SILC) survey, we calculated HLY and ULY for the EU10 and EU15 in 2006 with the Sullivan method. We used decomposition analysis to assess the contributions of mortality and disability and age to gender differences in HLY and ULY. HLY at age 15 for women in the EU10 were 3.1 years more than those for men at the same age, whereas HLY did not differ by gender in the EU15. In both populations ULY at age 15 for women exceeded those for men by 5.5 years. Decomposition showed that EU10 women had more HLY because higher disability in women only partially offset (−0.8 years) the effect of lower mortality (+3.9 years). In the EU15 women’s higher disability prevalence almost completely offset women’s lower mortality. The 5.3 fewer ULY in EU10 men than in EU10 women mainly reflected higher male mortality (4.5 years), while the fewer ULY in EU15 men than in EU15 women reflected both higher male mortality (2.9 years) and higher female disability (2.6 years). The absence of a clear gender gap in HLY in the EU15 thus masked important gender differences in mortality and disability. The similar size of the gender gap in ULY in the EU-10 and EU-15 masked the more unfavourable health situation of EU10 men, in particular the much stronger and younger mortality disadvantage in combination with the virtually absent disability advantage below age 65 in men.

Mental health expectancy — the European perspective: a synopsis of results presented at the Conference of the European Network for the Calculation of Health Expectancies (Euro‐REVES)

Abstract: The increase in life expectancy observed over the last decade has particular relevance for mental health conditions of old age, such as dementia. Although mental disorders have been estimated to be responsible for 60% of all disabilities, until recently population health indicators such as health expectancies have concentrated on calculating disability-free life expectancy based on physical functioning. In 1994, a European Network for the Calculation of Health Expectancies (Euro-REVES) was established, one of its aims being the development and promotion of mental health expectancies. Such indicators may have an important role in monitoring future changes in the mental health of populations and predicting service needs. This article summarizes the proceedings and recommendations of the first European Conference on Mental Health Expectancy.

Depression and Quality of Life in Older Persons: A Review

Abstract: Background: Depression is a prevalent and disabling condition in older persons (≥60 years) that increases the risk of mortality and negatively influences quality

Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms.

Abstract: In 2 meta-analyses on gender differences in depression in nationally representative samples, we advance previous work by including studies of depression diagnoses and symptoms to (a) estimate the magnitude of the gender difference in depression across a wide array of nations and ages; (b) use a developmental perspective to elucidate patterns of gender differences across the life span; and (c) incorporate additional theory-driven moderators (e.g., gender equity). For major depression diagnoses and depression symptoms, respectively, we meta-analyzed data from 65 and 95 articles and their corresponding national data sets, representing data from 1,716,195 and 1,922,064 people in over 90 different nations. Overall, odds ratio (OR) = 1.95, 95% confidence interval (CI) [1.88, 2.03], and d = 0.27 [0.26, 0.29]. Age was the strongest predictor of effect size. The gender difference for diagnoses emerged earlier than previously thought, with OR = 2.37 at age 12. For both meta-analyses, the gender difference peaked in adolescence (OR = 3.02 for ages 13-15, and d = 0.47 for age 16) but then declined and remained stable in adulthood. Cross-national analyses indicated that larger gender differences were found in nations with greater gender equity, for major depression, but not depression symptoms. The gender difference in depression represents a health disparity, especially in adolescence, yet the magnitude of the difference indicates that depression in men should not be overlooked. (PsycINFO Database Record

Gender differences in unipolar depression: an update of epidemiological findings and possible explanations

Abstract: Objective: To give an update on epidemiological findings on sex differences in the prevalence of unipolar depression and putative risk factors. Material and methods: Systematic review of the literature. Results: Recent epidemiological research yields additional evidence for a female preponderance in unipolar depression, holding true across different cultural settings. Current explanations include artefacts, genetic, hormonal, psychological and psychosocial risk factors. Rather consistently, intrapsychic and psychosocial gender role related risk factors have been identified which may contribute to the higher depression risk in women. Gender role aspects are also reflected in endocrine stress reactions and possibly influence associated neuropsychological processes. Conclusion: There is a need for more integrative models taking into account psychological, psychosocial, and macrosocial risk factors as well as their interactions, which also connect these factors with physiological and endocrine responses. Furthermore, it is conceivable that across the life span, as well as across cultural settings, individual risk factors will add with varying emphasis to the higher prevalence of depression in women.

Development of the EURO-D scale--a European, Union initiative to compare symptoms of depression in 14 European centres.

Abstract: BACKGROUND In an 11-country European collaboration, 14 population-based surveys included 21,724 subjects aged > or = 65 years. Most participating centres used the Geriatric Mental State (GMS), but other measures were also used. AIMS To derive from these instruments a common depression symptoms scale, the EURO-D, to allow comparison of risk factor profiles between centres. METHOD Common items were identified from the instruments. Algorithms for fitting items to GMS were derived by observation of item correspondence or expert opinion. The resulting 12-item scale was checked for internal consistency, criterion validity and uniformity of factor-analytic profile. RESULTS The EURO-D is internally consistent, capturing the essence of its parent instrument. A two-factor solution seemed appropriate: depression, tearfulness and wishing to die loaded on the first factor (affective suffering), and loss of interest, poor concentration and lack of enjoyment on the second (motivation). CONCLUSIONS The EURO-D scale should permit valid comparison of risk-factor associations between centres, even if between-centre variation remains difficult to attribute.