Evidence map›Paper›PMID 38919640›Full record

ArticleFrontiers in psychiatry2024

Age-specific risk factors of depression among the oldest-old - evidence from the multicenter AgeCoDe-AgeQualiDe study.

Melanie Luppa, Alexander Pabst, Margrit Löbner, Tina Mallon, Christian Brettschneider, André Hajek, Kathrin Heser, Luca Kleineidam, Siegfried Weyerer, Jochen Werle and 10 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Melanie LuppaInstitute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.
Alexander PabstInstitute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.
Margrit LöbnerInstitute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.
Tina MallonDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg, Eppendorf, Germany.
Christian BrettschneiderDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg, Eppendorf, Germany.
André HajekDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg, Eppendorf, Germany.
Kathrin HeserDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital, Bonn, Germany.
Luca KleineidamDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital, Bonn, Germany.
Siegfried WeyererCentral Institute of Mental Health, Medical Faculty, Mannheim, Germany.
Jochen WerleCentral Institute of Mental Health, Medical Faculty, Mannheim, Germany.
Michael PentzekInstitute of Family Practice (ifam), Medical Faculty, University of Duisburg, Essen, Germany.
Dagmar WeegDepartment of Psychiatry, Technical University of Munich, Munich, Germany.
Edelgard MöschDepartment of Psychiatry, Technical University of Munich, Munich, Germany.
Birgitt WieseInstitute of General Practice, Hannover Medical School, Hannover, Germany.
Anke OeyInstitute of General Practice, Hannover Medical School, Hannover, Germany.
Michael WagnerDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital, Bonn, Germany.
Wolfgang MaierDepartment of Neurodegenerative Diseases and Geriatric Psychiatry, University Hospital, Bonn, Germany.
Martin SchererDepartment of Primary Medical Care, Center for Psychosocial Medicine, University Medical Center Hamburg, Eppendorf, Germany.
Hans-Helmut KönigDepartment of Health Economics and Health Services Research, Hamburg Center for Health Economics, University Medical Center Hamburg, Eppendorf, Germany.
Steffi G Riedel-HellerInstitute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The present study aimed to investigate age-group-specific incidence rates and risk factors for depressive symptoms in the highest age groups. Methods: Data were derived from a prospective multicenter cohort study conducted in primary care - the AgeCoDe/AgeQualiDe study. In total, 2,436 patients 75 years and older were followed from baseline to ninth follow-up. To assess depressive symptoms, the short version of the Geriatric Depression Scale (GDS-15, cutoff score 6) was used. Age-specific competing risk regressions were performed to analyze risk factors for incident depressive symptoms in different age groups (75 to 79, 80 to 84, 85+ years), taking into account the accumulated mortality. Results: The age-specific incidence rate of depression was 33 (95% CI 29-38), 46 (95% CI 40-52) and 63 (95% CI 45-87) per 1,000 person years for the initial age groups 75 to 79, 80 to 84 and 85+ years, respectively. In competing risk regression models, female sex, mobility as well as vision impairment, and subjective cognitive decline (SCD) were found to be risk factors for incident depression for age group 75 to 79, female sex, single/separated marital status, mobility as well as hearing impairment, and SCD for age group 80 to 84, and mobility impairment for age group 85+. Conclusion: Depressive symptoms in latest life are common and the incidence increases with increasing age. Modifiable and differing risk factors across the highest age groups open up the possibility of specifically tailored prevention concepts.

Indexed as

competing riskdepressiondepressive symptomsincidencelate lifeold agepredictorsrisk factors

Identifiers

PMID38919640
PMCPMC11196990

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.