Evidence map›Paper›PMID 22094445›Full record

ArticleGerontology2012

Multidimensional predictors of fatigue among octogenarians and centenarians.

Jinmyoung Cho, Peter Martin, Jennifer Margrett, Maurice MacDonald, Mary Ann Johnson, Leonard W Poon, Georgia Centenarian Study, S M Jazwinski, R C Green, M Gearing and 8 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Gerontology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.2field-weighted citation impact, top 44% of its field
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
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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

18 authors at 4 institutions in 1 country.

Jinmyoung ChoScott & White Health Care, Texas A&M Health Science Center, School of Rural Public Health, College Station, TX 77843-1266, USA. jinmyoung.cho@srph.tamhsc.edu
Peter Martin
Jennifer Margrett
Maurice MacDonald
Mary Ann Johnson
Leonard W Poon
Georgia Centenarian Study
S M Jazwinski
R C Green
M Gearing
J L Woodard
J S Tenover
I C Siegler
C Rott
W L Rodgers
D Hausman
J Arnold
A Davey
Iowa State University · USUniversity of Georgia · USKansas State University · USTexas A&M Health Science Center · US

Funding

POPULATION BASED MULTIDISCIPLINARY STUDY OF CENTENARIANSP01AG017553 · NIA · UNIVERSITY OF GEORGIA (UGA) · PI POON, LEONARD W · 2001 to 2006
$8.1M
NIA NIH HHS 1P01-AG17553NIA NIH HHS P01 AG017553
6 · The paper itself

Abstract

backgroundFatigue is a common and frequently observed complaint among older adults. However, knowledge about the nature and correlates of fatigue in old age is very limited.

objectiveThis study examined the relationship of functional indicators, psychological and situational factors and fatigue for 210 octogenarians and centenarians from the Georgia Centenarian Study.

methodsThree indicators of functional capacity (self-rated health, instrumental activities of daily living, physical activities of daily living), two indicators of psychological well-being (positive and negative affect), two indicators of situational factors (social network and social support), and a multidimensional fatigue scale were used. Blocked multiple regression analyses were computed to examine significant factors related to fatigue. In addition, multi-group analysis in structural equation modeling was used to investigate residential differences (i.e., long-term care facilities vs. private homes) in the relationship between significant factors and fatigue.

resultsBlocked multiple regression analyses indicated that two indicators of functional capacity, self-rated health and instrumental activities of daily living, both positive and negative affect, and social support were significant predictors of fatigue among oldest-old adults. The multiple group analysis in structural equation modeling revealed a significant difference among oldest-old adults based on residential status.

conclusionThe results suggest that we should not consider fatigue as merely an unpleasant physical symptom, but rather adopt a perspective that different factors such as psychosocial aspects can influence fatigue in advanced later life.

Indexed as

Independent LivingSkilled Nursing FacilitiesAgedAged, 80 and overAge DistributionAgingCohort StudiesFatigueFemaleFollow-Up StudiesGeorgiaGeriatric AssessmentHealth Status IndicatorsHumansLongevityMale

Identifiers

PMID22094445
PMCPMC3362238
OpenAlexW2067213261

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.