Evidence map›Paper›PMID 31300193›Full record

ArticleThe American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry2020

Depression Symptoms Declining Among Older Adults: Birth Cohort Analyses From the Rust Belt.

Kevin J Sullivan, Anran Liu, Hiroko H Dodge, Carmen Andreescu, Chung-Chou H Chang, Mary Ganguli

Abstract read
In one paragraph

Article in The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

6 authors.

Kevin J SullivanDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA. Electronic address: KJS152@pitt.edu.
Anran LiuDepartment of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA.
Hiroko H DodgeDepartment of Neurology, Michigan Alzheimer's Disease Center, University of Michigan, Ann Arbor, MI; Department of Neurology, Layton Aging and Alzheimer's Disease Center, Oregon Health & Science University, Portland, OR.
Carmen AndreescuDepartment of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Chung-Chou H ChangDepartment of Biostatistics, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA; Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Mary GanguliDepartment of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA; Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA; Department of Neurology, University of Pittsburgh School of Medicine, Pittsburgh, PA.

Funding

Research Education ComponentP30AG066518 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI KEVIN M DUFF, Lisa C Silbert · 2020 to 2026
$28.6M
Outreach, Recruitment and Education CoreP30AG008017 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI DODGE, HIROKO HAYAMA · 1990 to 2019
$27.7M
Mild Cognitive Impairment: A Prospective Community StudyR01AG023651 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GANGULI, MARY · 2005 to 2020
$27.1M
Michigan Alzheimer's Disease Core CenterP30AG053760 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LIEBERMAN, ANDREW P · 2016 to 2020
$10.1M
TRAINING IN THE EPIDEMIOLOGY OF AGINGT32AG000181 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STROTMEYER, ELSA S. · 1989 to 2025
$6.2M
NIA NIH HHS P30 AG008017NIA NIH HHS P30 AG053760NIA NIH HHS P30 AG066518NIA NIH HHS R01 AG023651NIA NIH HHS T32 AG000181
6 · The paper itself

Abstract

objectivesTo investigate potential birth cohort effects in depression symptoms in older adults.

designPopulation-based prospective cohort.

settingSmall-town communities in Pennsylvania.

participantsThree thousand two hundred and twenty seven older adults (average baseline age = 71.6) born between 1902 and 1941. MEASUREMENTS: Four decade-long birth cohorts were the primary predictors in this study: 1902-1911, 1912-1921, 1922-1931, and 1932-1941. The outcome was symptoms of depression assessed at baseline and follow-up study visits using a modified Center for Epidemiologic Studies Depression Scale (mCES-D). The depression outcome was operationalized as: 1). A binary outcome of having greater than equal to 5 depression symptoms on the total mCES-D at any study visit, and 2). A continuous outcome of four factor-analyzed component scores of the mCES-D including depressed mood, anergia/hopelessness, withdrawal, and poor self-esteem. All analyses were jointly modeled with attrition and adjusted for age, sex, education, Mini Mental State Examination score, antidepressant medications, and total prescription medications.

resultsParticipants from more recently born cohorts were significantly less likely to have a study visit in which they reported greater than or equal to 5 depression symptoms, controlling for attrition. Specifically, in comparison to the 1902-1911 referent cohort, the 1912-1921 birth cohort was 43% less likely (odds ratio [OR] = 0.566, 95% confidence interval [CI]: 0.341-0.939), the 1922-1931 birth cohort was 63% less likely (OR = 0.0369, 95% CI: 0.215-0.632), and the 1932-1941 cohort was 79% less likely (OR = 0.205, 95% CI: 0.106-0.399). The cohort effect was most evident in the depressed mood and anergia/hopelessness symptom composites.

conclusionReduced rates of depression symptoms observed in successive birth cohorts of older adults may reflect compression of morbidity or other secular trends.

Indexed as

AgingAgedAged, 80 and overCohort StudiesDepressionDepressive DisorderFemaleHumansMalePennsylvaniaTime Factorsbirth cohortDepressionepidemiologysubsyndromal depression

Identifiers

PMID31300193
PMCPMC6898763

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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.