INTRODUCTION: Because the oldest old will be the fastest-growing age group in the future and information about epidemiology of depressive symptoms in latest life is scarce, the present study aims at determining the age-specific and gender-specific prevalence rates and risk factors of depressive symptoms in latest life. METHODS: As part of the Leipzig Longitudinal Study of the Aged (LEILA 75+), a population-based sample of 1,006 individuals aged 75 years and older were interviewed on socio-demographic, clinical and psychometric variables. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off score ≥16); mild cognitive impairment (MCI) was diagnosed according to criteria of the International Working Group on MCI. Factors associated with depressive symptoms were determined with multiple logistic regression models. RESULTS: Of the overall sample, 38.2% (95% confidence interval, CI 35.2-41.2) were classified as depressed. In the full multivariate model, the following variables were significantly associated with depressive symptoms: divorced or widowed marital status, low educational level, poor self-rated health status, functional impairment, multi-domain MCI, stressful life events and poor social network. All variables but MCI remained significant correlates of depressive symptoms in the parsimonious model. DISCUSSION: Because depressive symptoms are common in oldest age and associated with broad categories of risk factors, latest-life depression represents an important public health issue. Employment of comprehensive geriatric assessment to ascertain depressive symptoms and its concomitants could help to improve treatment success.
INTRODUCTION: Because the oldest old will be the fastest-growing age group in the future and information about epidemiology of depressive symptoms in latest life is scarce, the present study aims at determining the age-specific and gender-specific prevalence rates and risk factors of depressive symptoms in latest life. METHODS: As part of the Leipzig Longitudinal Study of the Aged (LEILA 75+), a population-based sample of 1,006 individuals aged 75 years and older were interviewed on socio-demographic, clinical and psychometric variables. Depressive symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (cut-off score ≥16); mild cognitive impairment (MCI) was diagnosed according to criteria of the International Working Group on MCI. Factors associated with depressive symptoms were determined with multiple logistic regression models. RESULTS: Of the overall sample, 38.2% (95% confidence interval, CI 35.2-41.2) were classified as depressed. In the full multivariate model, the following variables were significantly associated with depressive symptoms: divorced or widowed marital status, low educational level, poor self-rated health status, functional impairment, multi-domain MCI, stressful life events and poor social network. All variables but MCI remained significant correlates of depressive symptoms in the parsimonious model. DISCUSSION: Because depressive symptoms are common in oldest age and associated with broad categories of risk factors, latest-life depression represents an important public health issue. Employment of comprehensive geriatric assessment to ascertain depressive symptoms and its concomitants could help to improve treatment success.
Authors: André Hajek; Christian Brettschneider; Annette Ernst; Carolin Lange; Birgitt Wiese; Jana Prokein; Siegfried Weyerer; Jochen Werle; Michael Pentzek; Angela Fuchs; Janine Stein; Horst Bickel; Edelgard Mösch; Kathrin Heser; Frank Jessen; Wolfgang Maier; Martin Scherer; Steffi G Riedel-Heller; Hans-Helmut König Journal: Qual Life Res Date: 2015-05-19 Impact factor: 4.147
Authors: Julie G Kosteniuk; Debra G Morgan; Megan E O'Connell; Andrew Kirk; Margaret Crossley; Norma J Stewart; Chandima P Karunanayake Journal: Dement Geriatr Cogn Dis Extra Date: 2016-05-03
Authors: Jochen René Thyrian; Friederike Kracht; Angela Nikelski; Melanie Boekholt; Fanny Schumacher-Schönert; Anika Rädke; Bernhard Michalowsky; Horst Christian Vollmar; Wolfgang Hoffmann; Francisca S Rodriguez; Stefan H Kreisel Journal: BMC Geriatr Date: 2020-12-29 Impact factor: 3.921
Authors: Hairong Nan; Paul H Lee; Ian McDowell; Michael Y Ni; Sunita M Stewart; Tai Hing Lam Journal: BMC Psychiatry Date: 2012-11-14 Impact factor: 3.630
Authors: Julie G Kosteniuk; Debra G Morgan; Megan E O'Connell; Margaret Crossley; Andrew Kirk; Norma J Stewart; Chandima P Karunanayake Journal: Dement Geriatr Cogn Dis Extra Date: 2014-07-01
Authors: Franziska Förster; Melanie Luppa; Alexander Pabst; Kathrin Heser; Luca Kleineidam; Angela Fuchs; Michael Pentzek; Hanna Kaduszkiewicz; Carolin van der Leeden; André Hajek; Hans-Helmut König; Anke Oey; Birgitt Wiese; Edelgard Mösch; Dagmar Weeg; Siegfried Weyerer; Jochen Werle; Wolfgang Maier; Martin Scherer; Michael Wagner; Steffi G Riedel-Heller Journal: Int J Environ Res Public Health Date: 2021-06-29 Impact factor: 3.390