Evidence map›Paper›PMID 24901793›Full record

ArticlePreventing chronic disease2014

Longitudinal predictors of self-rated health and mortality in older adults.

Diane C Wagner, Jerome L Short

Abstract readComparative Study
In one paragraph

Article in Preventing chronic disease, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  15. General health status in army personnel: relations with health behaviors and psychosocial variables.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2017
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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

2 authors.

Diane C WagnerGeorge Mason University, Department of Psychology, 4400 University Dr, MSN 3F5, Fairfax, VA 22030-4422. E-mail: dwagner1@gmu.edu.
Jerome L ShortGeorge Mason University, Fairfax, Virginia.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
NIA NIH HHS U01 AG009740NIA NIH HHS U01AG009740
6 · The paper itself

Abstract

introductionFew studies have compared the effects of demographic, cognitive, and behavioral factors of health and mortality longitudinally. We examined predictors of self-rated health and mortality at 3 points, each 2 years apart, over 4 years.

methodsWe used data from the 2006 wave of the Health and Retirement Study and health and mortality indicators from 2006, 2008, and 2010. We analyzed data from 17,930 adults (aged 50-104 y) to examine predictors of self-rated health and data from a subgroup of 1,171 adults who died from 2006 through 2010 to examine predictors of mortality.

resultsTime 1 depression was the strongest predictor of self-rated health at all points, independent of age and education. Education, mild activities, body mass index, delayed word recall, and smoking were all associated with self-rated health at each point and predicted mortality. Delayed word recall mediated the relationships of mild activity with health and mortality. Bidirectional mediation was found for the effects of mild activity and depression on health.

conclusionMedical professionals should consider screening for depression and memory difficulties in addition to conducting medical assessments. These assessments could lead to more effective biopsychosocial interventions to help older adults manage risks for mortality.

Indexed as

Health BehaviorHealth Status IndicatorsSelf ReportAgedAged, 80 and overAge FactorsBody Mass IndexChronic DiseaseDepressionEducational StatusFemaleHumansLongitudinal StudiesMaleMental RecallMiddle Aged

Identifiers

PMID24901793
PMCPMC4049199

What OpenQuestion holds

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Registered trials

None linked

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.