Literature DB >> 23315829

Incidence and predictors of depression in non-demented primary care attenders aged 75 years and older: results from a 3-year follow-up study.

Siegfried Weyerer1, Sandra Eifflaender-Gorfer, Birgitt Wiese, Melanie Luppa, Michael Pentzek, Horst Bickel, Cadja Bachmann, Martin Scherer, Wolfgang Maier, Steffi G Riedel-Heller.   

Abstract

OBJECTIVE: to determine incidence and predictors of late-life depression.
METHODS: this is a 3-year observational cohort study of 3,214 non-demented patients aged 75 and over completing three waves of assessment. The patients were recruited in 138 primary care practices in six urban areas in Germany. Depressive symptoms were measured at baseline, and 18 months and 36 months later using the GDS-15 Geriatric Depression Scale with a cut-off 0-5/6-15. Cox proportional hazard regression models were applied to examine predictors of incident depression, adjusting for sex, age, education, living situation, activities of daily living - and instrumental activities of daily living impairment, somatic comorbidity, alcohol consumption, smoking, mild cognitive impairment and apoE4 status.
RESULTS: the incidence of depression was 36.8 (95% CI: 29.6-45.3) per 1,000 person-years in men and 46.0 (95% CI: 39.9-52.8) in women (sex difference P = 0.069). The incidence increased from 35.4 (95% CI: 29.7-41.9) per 1000 person-years between the ages of 75 and 79 to 75.2 (95% CI: 53.2-103.2) for subjects 85 years and older. After full adjustment for confounding variables, hazard ratios (HR) for incident depression were significantly higher for subjects 85 years and older (HR: 1.83, 95% CI: 1.24-2.70) and those with mobility impairment (HR: 2.53, 95% CI: 1.97-3.25), vision impairment (HR: 1.41, 95% CI: 1.04-1.91), mild cognitive impairment (HR: 1.52, 95% CI: 1.10-2.10), subjective memory impairment (HR: 1.33, 95% CI: 1.01-1.74) and current smoking (HR: 1.69, 95% CI: 1.13-2.53).
CONCLUSIONS: the incidence of depression increased significantly with age. In designing prevention programmes, it is important to call more attention on functional impairment, cognitive impairment and smoking.

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Year:  2013        PMID: 23315829     DOI: 10.1093/ageing/afs184

Source DB:  PubMed          Journal:  Age Ageing        ISSN: 0002-0729            Impact factor:   10.668


  20 in total

1.  The 12-Month Incidence and Predictors of PHQ-9-Screened Depressive Symptoms in Chinese Primary Care Patients.

Authors:  Weng-Yee Chin; Eric Yuk Fai Wan; Edmond Pui Hang Choi; Kit Tsui Yan Chan; Cindy Lo Kuen Lam
Journal:  Ann Fam Med       Date:  2016 Jan-Feb       Impact factor: 5.166

Review 2.  [Depression in old age: challenge for aging societies].

Authors:  S G Riedel-Heller; S Weyerer; H-H König; M Luppa
Journal:  Nervenarzt       Date:  2012-11       Impact factor: 1.214

3.  [Depression in old age, part 1 : Origin, clinical symptoms, diagnosis and interaction between depression and dementia].

Authors:  Dirk K Wolter
Journal:  Z Gerontol Geriatr       Date:  2016-01-26       Impact factor: 1.281

4.  Prevalence and Potential Associated Factors of Depression among Chinese Older Inpatients.

Authors:  T Xu; J Jiao; C Zhu; F Li; X Guo; J Li; M Zhu; Z Li; X Wu
Journal:  J Nutr Health Aging       Date:  2019       Impact factor: 4.075

5.  The mediating role of disability and social support in the association between low vision and depressive symptoms in older adults.

Authors:  Gertrudis I J M Kempen; Adelita V Ranchor; Ton Ambergen; G A Rixt Zijlstra
Journal:  Qual Life Res       Date:  2013-10-01       Impact factor: 4.147

6.  Risk factors for late-life depression: A prospective cohort study among older women.

Authors:  Shun-Chiao Chang; An Pan; Ichiro Kawachi; Olivia I Okereke
Journal:  Prev Med       Date:  2016-08-08       Impact factor: 4.018

7.  Risk factors and protective factors of depression in older people 65+. A systematic review.

Authors:  Alexander Maier; Steffi G Riedel-Heller; Alexander Pabst; Melanie Luppa
Journal:  PLoS One       Date:  2021-05-13       Impact factor: 3.240

8.  Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortium.

Authors:  Amy E Taylor; Meg E Fluharty; Johan H Bjørngaard; Maiken Elvestad Gabrielsen; Frank Skorpen; Riccardo E Marioni; Archie Campbell; Jorgen Engmann; Saira Saeed Mirza; Anu Loukola; Tiina Laatikainen; Timo Partonen; Marika Kaakinen; Francesca Ducci; Alana Cavadino; Lise Lotte N Husemoen; Tarunveer Singh Ahluwalia; Rikke Kart Jacobsen; Tea Skaaby; Jeanette Frost Ebstrup; Erik Lykke Mortensen; Camelia C Minica; Jacqueline M Vink; Gonneke Willemsen; Pedro Marques-Vidal; Caroline E Dale; Antoinette Amuzu; Lucy T Lennon; Jari Lahti; Aarno Palotie; Katri Räikkönen; Andrew Wong; Lavinia Paternoster; Angelita Pui-Yee Wong; L John Horwood; Michael Murphy; Elaine C Johnstone; Martin A Kennedy; Zdenka Pausova; Tomáš Paus; Yoav Ben-Shlomo; Ellen A Nohr; Diana Kuh; Mika Kivimaki; Johan G Eriksson; Richard W Morris; Juan P Casas; Martin Preisig; Dorret I Boomsma; Allan Linneberg; Chris Power; Elina Hyppönen; Juha Veijola; Marjo-Riitta Jarvelin; Tellervo Korhonen; Henning Tiemeier; Meena Kumari; David J Porteous; Caroline Hayward; Pål R Romundstad; George Davey Smith; Marcus R Munafò
Journal:  BMJ Open       Date:  2014-10-07       Impact factor: 2.692

9.  Functional capacity and dependency in transfer and dressing are associated with depressive symptoms in older people.

Authors:  Gustaf Boström; Mia Conradsson; Erik Rosendahl; Peter Nordström; Yngve Gustafson; Håkan Littbrand
Journal:  Clin Interv Aging       Date:  2014-02-04       Impact factor: 4.458

Review 10.  The Association of Cigarette Smoking With Depression and Anxiety: A Systematic Review.

Authors:  Meg Fluharty; Amy E Taylor; Meryem Grabski; Marcus R Munafò
Journal:  Nicotine Tob Res       Date:  2016-05-19       Impact factor: 4.244

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