Hans Jeuring

Dr. Hans Jeuring

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Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2018 in The American Journal of Geriatric Psychiatry
Verified
Journal Article
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HJHans Jeuring
Hans Jeuring
MSMax L. Stek
Max L. Stek
MHMartijn Huisman
Martijn Huisman
RVRichard Christiaan Oude Voshaar
Richard Christiaan Oude Voshaar
PNPaul Naarding
Paul Naarding
HCHannie C. Comijs
Hannie C. Comijs

31 August 2021 in European Psychiatry
Verified
Journal Article
Open access
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RVRichard Christiaan Oude Voshaar
Richard Christiaan Oude Voshaar
IAI. Aprahamian
I. Aprahamian
MBM. K. Borges
M. K. Borges
RBRob van den Brink
Rob van den Brink
RMR. M. Marijnissen
R. M. Marijnissen
HJHans Jeuring
Hans Jeuring
Background: To examine the mortality risk of current and life-time depressive as well as anxiety disorders, whether this risk is moderated by sex or age, and whether this risk can be explained by lifestyle and/or somatic health status. Methods: A cohort study (Lifelines) including 141,377 participants (18–93 years) which were followed-up regarding mortality for 8.6 years (range 3.0–13.7). Baseline depressive and anxiety disorders according to Diagnostic and Statistical Manual of Mental Disorders, fourth edition criteria were assessed with the Mini International Neuropsychiatric Interview and lifetime diagnoses by self-report. All-cause mortality was retrieved from Statistics Netherlands. Cox-regression was applied to calculate proportional hazard ratios, adjusted for lifestyle (physical activity, alcohol use, smoking, and body mass index) and somatic health status (multimorbidity and frailty) in different models. Results: The mortality rate of depressive and anxiety disorders was conditional upon age but not on sex. Only in people below 60 years, current depressive and anxiety disorders were associated with mortality. Only depressive disorder and panic disorder independently predicted mortality when all mental disorders were included simultaneously in one overall model (hazard ratio [HR] = 2.18 [95% confidence intervals (CI): 1.56–3.05], p < 0.001 and HR = 2.39 [95% CI: 1.15–4.98], p = 0.020). Life-time depressive and anxiety disorders, however, were independent of each other associated with mortality. Associations hardly changed when adjusted for lifestyle characteristics but decreased substantially when adjusted for somatic health status (in particular physical frailty). Conclusions: In particular, depressive disorder is associated with excess mortality in people below 60 years, independent of their lifestyle. This effect seems partly explained by multimorbidity and frailty, which suggest that chronic disease management of depression-associated somatic morbidity needs to be (further) improved.

29 July 2016 in Psychological Medicine
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Journal Article
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HJHans Jeuring
Hans Jeuring
MHM. Huisman
M. Huisman
HCH. C. Comijs
H. C. Comijs
MSM. L. Stek
M. L. Stek
ABA. T. F. Beekman
A. T. F. Beekman
Background: Subthreshold depression (SUBD) in later life is common and important as prodromal state and prominent risk factor in the development of major depressive disorder (MDD). Indicated prevention can reduce the incidence of MDD among people with SUBD substantially, but needs to be targeted to those that are truly at risk of developing MDD.Method: N = 341 eligible participants with SUBD were included from the first (1992/1993), second (1995/1996) and third (1998/1999) cycle from the Longitudinal Aging Study Amsterdam (LASA) by using a two-stage screening design. LASA is an ongoing prospective cohort study in The Netherlands among the older population (55–85 years). At baseline (1992/1993) N = 3107 participants were interviewed and follow-up cycles were conducted every 3 years until 2008/2009, resulting in maximal 17 years of observational period. The proportion of people that developed MDD, remained SUBD, or recovered from SUBD was measured and Cox proportional regression analyses were performed to investigate 29 putative predictors of MDD and recovery from SUBD.Results: N = 153 (44.9%) recovered from SUBD, N = 138 (40.5%) remained chronically SUBD, and N = 50 (14.7%) developed MDD (incidence rate 15.1/1000 person-years). Women, high neuroticism, more chronic diseases, high body mass index, smoking and less social support predicted conversion to MDD. Men, low neuroticism and absence of pain predicted recovery from SUBD.Conclusions: Although older people with SUBD are clearly at risk of developing MDD, the majority did not, even after a long and thorough follow-up. Given the risk factors that were uncovered, targeting and prevention of MDD in those at very high risk is feasible.

4 December 2017 in Psychological Medicine
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Journal Article
Open access
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HJHans Jeuring
Hans Jeuring
HCHannie C. Comijs
Hannie C. Comijs
DDDorly J. H. Deeg
Dorly J. H. Deeg
MSMax L. Stek
Max L. Stek
MHMartijn Huisman
Martijn Huisman
ABAartjan T. F. Beekman
Aartjan T. F. Beekman
Background: Studying secular trends in the exposure to risk and protective factors of depression and whether these trends are associated with secular trends in the prevalence of depression is important to estimate future healthcare demands and to identify targets for prevention.Methods: Three birth cohorts of 55–64-year olds from the population-based Longitudinal Aging Study Amsterdam were examined using identical methods in 1992 (n = 944), 2002 (n = 964) and 2012 (n = 957). A two-stage screening design was used to identify subthreshold depression (SUBD) and major depressive disorder (MDD). Multinomial logistic regression analyses were used to identify secular trends in depression prevalence and to identify factors from the biopsychosocial domains of functioning that were associated with these trends.Results: Compared with 1992, MDD became more prevalent in 2002 (OR 1.90, 95% CI 1.10–3.28, p = 0.022) and 2012 (OR 1.80, 95% CI 1.03–3.14, p = 0.039). This was largely attributable to an increase in the prevalence of chronic diseases and functional limitations. Socioeconomic and psychosocial improvements, including an increase in labor market participation, social support and mastery, hampered MDD rates to rise more and were also associated with a 32% decline of SUBD-rates in 2012 as compared with 2002 (OR 0.68, 95% CI 0.48–0.96, p = 0.03).Conclusions: Among late middle-aged adults, there is a substantial net increase of MDD, which is associated with deteriorating physical health. If morbidity and disability continue to increase, a further expansion of MDD rates may be expected. Improving socioeconomic and psychosocial conditions may benefit public health, as these factors were protective against a higher prevalence of both MDD and SUBD.

29 April 2022 in Acta Psychiatrica Scandinavica
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Journal Article
Open access
CWCarlijn Wiersema
Carlijn Wiersema
RVRichard Christiaan Oude Voshaar
Richard Christiaan Oude Voshaar
RBRob van den Brink
Rob van den Brink
HWHans Wouters
Hans Wouters
PVPeter Verhaak
Peter Verhaak
HJHans Jeuring
Hans Jeuring
Objectives: Polypharmacy and late‐life depression often congregate in the geriatric population. The primary objective is to identify determinants of polypharmacy in patients with depression, and second to examine polypharmacy in relation to various clinical phenotypes of depression and its course.Methods: A longitudinal observational study using data of the Netherlands Study of Depression in Older persons (NESDO) including 375 patients with depression 60 years and 132 non‐depressed comparisons. Linear and logistic regression were used to analyze both polypharmacy (dichotomous: ≥5 medications) and number of prescribed drugs (continuous) in relation to depression, various clinical phenotypes, and depression course.Results: Polypharmacy was more prevalent among patients with depression (46.9%) versus non‐depressed comparisons (19.7%). A lower level of education, lower cognitive functioning, and more chronic diseases were independently associated with polypharmacy. Adjusted for these determinants, polypharmacy was associated with a higher level of motivational problems, anxiety, pain, and an earlier age of onset. A higher number of drugs was associated with a worse course of late‐life depression (OR = 1.24 [95% CI: 1.03–1.49], p = 0.022).Conclusion: Older patients with depression have a huge risk of polypharmacy, in particular among those with an early onset depression. As an independent risk factor for chronic depression, polypharmacy needs to be identified and managed appropriately. Findings suggest that depression moderates polypharmacy through shared risk factors, including motivational problems, anxiety, and pain. The complex interaction with somatic health burden requires physicians to prescribe medications with care.

30 August 2022 in Journal of the American Geriatrics Society
Verified
Journal Article
Open access
MBMarcus K. Borges
Marcus K. Borges
HJHans Jeuring
Hans Jeuring
RMRadboud M. Marijnissen
Radboud M. Marijnissen
Barbara C. van MunsterBarbara C. van Munster
Barbara C. van Munster
IAIvan Aprahamian
Ivan Aprahamian
RVRichard Christiaan Oude Voshaar
Richard Christiaan Oude Voshaar
Background: Frailty is an important concept for risk stratification in clinical practice, but it is hardly acknowledged at all in mental healthcare settings. This paper aims to assess the impact of frailty on the course of depression and anxiety, and the impact of these affective disorders on the course of frailty. Methods: Lifelines, a prospective population‐based cohort study, evaluated 167,729 people living in the northern Netherlands. Frailty was based on the deficit accumulation model, which resulted in a 60‐item frailty index (FI) at baseline and a 35‐item FI at baseline and 5‐year follow‐up. Current depressive and anxiety disorders were assessed with the Mini International Neuropsychiatric Interview according to DSM‐IV criteria. Bidirectional associations between frailty and affective disorders were investigated using separate multivariable regression analyses in younger (<60 years) and older adults (≥60 years). Results: The FI was associated with the onset of a depressive disorder (younger adults: odds ratio [OR] = 1.12; 95% confidence interval [CI] 1.11–1.13; older adults: OR = 1.13; 95% CI 1.09–1.16) as well as any anxiety disorder (younger adults: OR = 1.10; 95% CI 1.09–1.10; older adults: OR = 1.07; 95% CI 1.04–1.09). The other way around, depressive disorder and anxiety disorders were associated with an accelerated increase of frailty over time (depressive disorder: younger adults: beta [ β ] = 0.03, p < 0.001; older adults: β = 0.04, p < 0.001; and any anxiety disorder: younger adults: β = 0.02, p < 0.001; older adults: β = 0.01, p < 0.142), although the effect of anxiety disorders was less equivocal among older adults. Conclusions: Affective disorders are reciprocally related to frailty. Results with respect to the impact of anxiety disorders on frailty suggest most impact at lower levels of frailty. Our results might imply that interventions to slow biological aging should be broadened towards younger and middle‐aged people as well as non‐frail older patients. To develop targeted treatment, future clinical and epidemiologic studies on the underlying pathways of this bidirectional association are needed.