Evidence map›Paper›PMID 26273025›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2016

Depressive Trajectories and Risk of Disability and Mortality in Older Adults: Longitudinal Findings From the Health, Aging, and Body Composition Study.

Rachel A Murphy, Ashley K Hagaman, Ilse Reinders, Jeremy A Steeves, Anne B Newman, Susan M Rubin, Suzanne Satterfield, Stephen B Kritchevsky, Kristine Yaffe, Hilsa N Ayonayon and 5 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 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

15 authors.

Rachel A MurphySchool of Population and Public Health, University of British Columbia, Vancouver, Canada. Laboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland. rachel.murphy@ubc.ca.
Ashley K HagamanSchool of Human Evolution and Social Change, Arizona State University, Tempe.
Ilse ReindersLaboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland. Department of Health Sciences and the EMGO+ Institute for Health and Care Research, VU University, Amsterdam, the Netherlands.
Jeremy A SteevesCancer Prevention Fellowship Program, National Cancer Institute/Division of Cancer Control and Population Sciences, Rockville, Maryland.
Anne B NewmanCenter for Aging and Population Health, Department of Epidemiology, University of Pittsburgh, Pennsylvania.
Susan M RubinDepartment of Psychiatry, University of California at San Francisco.
Suzanne SatterfieldDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis.
Stephen B KritchevskyDepartment of Internal Medicine, Wake Forest School of Medicine, Winston Salem, North Carolina.
Kristine YaffeDepartment of Psychiatry, University of California at San Francisco.
Hilsa N AyonayonDepartment of Psychiatry, University of California at San Francisco.
Daniel S NaginHeinz College, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Eleanor M SimonsickTranslational Gerontology Branch, National Institute on Aging, Baltimore, Maryland.
Brenda W J H PenninxDepartment of Psychiatry and the EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands.
Tamara B HarrisLaboratory of Epidemiology and Population Science, National Institute on Aging, Bethesda, Maryland.
Health ABC Study

Funding

Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Denise Kathryn Houston · 2002 to 2026
$36.4M
VARIABILITY, STABILITY & SMOOTHNESS OF WALKINGP30AG024827 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI JENNIFER S BRACH · 2004 to 2026
$28.6M
Health, Aging and Body Composition StudyZIAAG007390 · NIA · NATIONAL INSTITUTE ON AGING · PI LAUNER, LENORE J · 2009 to 2024
$4.0M
Peripheral Nerve Function Decline in an Aged CohortR01AG028050 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 2007 to 2015
$3.5M
End of Life in the Very OldR01NR012459 · NINR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ALBERT, STEVEN M, LUNNEY, JUNE R · 2011 to 2015
$2.7M
DYNAMICS OF HEALTH .AGING . AND BODY COMPOSITION /Pittsburgh/-260962101N01AG062101 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · 1996 to 2004
$996k
DYNAMICS OF HEALTH . AGING . AND BODY COMPOSITION /Memphis/-26062103N01AG062103 · NIA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · 1996 to 2004
$793k
HEALTH ABC--COORDINATING UNIT /California/-260062106N01AG062106 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1996 to 2004
$109k
NIA NIH HHS 1P30AG21332NIA NIH HHS N01-AG-6-2101NIA NIH HHS N01-AG-6-2103NIA NIH HHS N01-AG-6-2106NIA NIH HHS P30 AG024827NIA NIH HHS R01 AG028050NIA NIH HHS R01-AG028050NINR NIH HHS R01-NR-012459
6 · The paper itself

Abstract

backgroundDepression and disability are closely linked. Less is known regarding clinical and subclinical depressive symptoms over time and risk of disability and mortality.

methodsResponses to the Center for Epidemiologic Studies Short Depression scale (CES-D10) were assessed over a 4-year period in men (n = 1032) and women (n = 1070) aged 70-79 years initially free from disability. Depressive symptom trajectories were defined with group-based models. Disability (2 consecutive reports of severe difficulty walking one-quarter mile or climbing 10 steps) and mortality were determined for 9 subsequent years. Hazard ratios (HRs) were estimated using Cox proportional hazards adjusted for covariates.

resultsThree trajectories were identified: persistently nondepressed (54% of men, 54% of women, mean baseline CES-D10: 1.16 and 1.46), mildly depressed and increasing (40% of men, 38% of women, mean baseline CES-D10: 3.60 and 4.35), and depressed and increasing (6% of men, 8% of women, mean baseline CES-D10: 7.44 and 9.61). Disability and mortality rates per 1,000 person years were 41.4 and 60.3 in men and 45.8 and 41.9 in women. Relative to nondepressed, men in the mildly depressed (HR = 1.45, 95% confidence interval [CI] 1.11-1.89) and depressed trajectories (HR = 2.12, 95% CI 1.33-3.38) had increased disability; women in the depressed trajectory had increased disability (HR = 2.02, 95% CI 1.37-2.96). Men in the mildly depressed (HR = 1.24, 95% CI 1.01-1.52) and depressed trajectories (HR = 1.63, 95% CI 1.10-2.41) had elevated mortality risk; women exhibited no mortality risk.

conclusionsTrajectories of depressive symptoms without recovery may predict disability and mortality in apparently healthy older populations, thus underscoring the importance of monitoring depressive symptoms in geriatric care.

Indexed as

AgedDepressionFemaleHumansMaleMortalityPersons with DisabilitiesRisk AssessmentRisk FactorsUnited StatesAgingDepressionFunctionGeriatricMood

Identifiers

PMID26273025
PMCPMC4723662

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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.