Evidence map›Paper›PMID 25084680›Full record

ArticleAmerican journal of preventive medicine2014

Regular fish consumption and age-related brain gray matter loss.

Cyrus A Raji, Kirk I Erickson, Oscar L Lopez, Lewis H Kuller, H Michael Gach, Paul M Thompson, Mario Riverol, James T Becker

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
–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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article
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

8 authors.

Cyrus A RajiDepartment of Radiology, University of California, Los Angeles Medical Center, Los Angeles, Los Angeles,; Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kirk I EricksonDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Lewis H KullerDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
H Michael GachDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Paul M ThompsonLaboratory of Neuroimaging, University of Southern California, Los Angeles, Los Angeles, California.
Mario RiverolDepartment of Neurology, University of Navarra, Pamplona, Spain.
James T BeckerDepartment of Psychology, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania; Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania. Electronic address: beckerjt@upmc.edu.

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 1985 to 2019
$43.0M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
The Aging Kidney: Chronic Injury, Impaired Functions and Clinical OutcomesR01AG027002 · NIA · TUFTS MEDICAL CENTER · PI PARIKH, SAMIR M, SARNAK, MARK J · 2005 to 2022
$7.3M
CHS Events Follow-up StudyR01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2009 to 2014
$6.3M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Predictors of Alheimers Disease in Mild Cognitive ImpairmentR01AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2002 to 2011
$3.7M
Growth factors, neuroinflammation, exercise, and brain integrityRF1AG041915 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2014
$2.9M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Hormonal trajectories in agingR01AG027058 · NIA · UNIVERSITY OF PENNSYLVANIA · PI CAPPOLA, ANNE R · 2006 to 2009
$1.2M
Predictors of Alzheimers Disease in Mild Cognitive ImpairmentR56AG020098 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 2007 to 2007
$482k
NHLBI NIH HHS HL080295NHLBI NIH HHS N01 HC035129NHLBI NIH HHS N01 HC045133NHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC075150NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC-55222NHLBI NIH HHS N01-HC-75150NHLBI NIH HHS N01-HC-85079NHLBI NIH HHS N01-HC-85080NHLBI NIH HHS N01-HC-85081NHLBI NIH HHS N01-HC-85082NHLBI NIH HHS N01-HC-85083NHLBI NIH HHS N01-HC-85084NHLBI NIH HHS N01-HC-85085NHLBI NIH HHS N01-HC-85086NHLBI NIH HHS N01-HC-85239NHLBI NIH HHS R01 HL080295NHLBI NIH HHS U01 HL080295NIA NIH HHS AG-023629NIA NIH HHS AG-027002NIA NIH HHS AG-027058NIA NIH HHS AG05133NIA NIH HHS AG-20098NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG015928NIA NIH HHS R01 AG020098NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG027002NIA NIH HHS R01 AG027058NIA NIH HHS R01 AG040060NIA NIH HHS R56 AG020098NIA NIH HHS R56 AG023629NIA NIH HHS RF1 AG041915NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020403
6 · The paper itself

Abstract

backgroundBrain health may be affected by modifiable lifestyle factors; consuming fish and antioxidative omega-3 fatty acids may reduce brain structural abnormality risk. PURPOSE: To determine whether dietary fish consumption is related to brain structural integrity among cognitively normal elders.

methodsData were analyzed from 260 cognitively normal individuals from the Cardiovascular Health Study with information on fish consumption from the National Cancer Institute Food Frequency Questionnaire and brain magnetic resonance imaging (MRI). The relationship between fish consumption data collected in 1989-1990 and brain structural MRI obtained in 1998-1999 was assessed using voxel-based morphometry in multiple regression analyses in 2012. Covariates were age, gender, race, education, white matter lesions, MRI-identified infarcts, waist-hip ratio, and physical activity as assessed by the number of city blocks walked in 1 week. Volumetric changes were further modeled with omega-3 fatty acid estimates to better understand the mechanistic link between fish consumption, brain health, and Alzheimer disease.

resultsWeekly consumption of baked or broiled fish was positively associated with gray matter volumes in the hippocampus, precuneus, posterior cingulate, and orbital frontal cortex even after adjusting for covariates. These results did not change when including omega-3 fatty acid estimates in the analysis.

conclusionsDietary consumption of baked or broiled fish is related to larger gray matter volumes independent of omega-3 fatty acid content. These findings suggest that a confluence of lifestyle factors influence brain health, adding to the growing body of evidence that prevention strategies for late-life brain health need to begin decades earlier.

Indexed as

DietFishesAgedAged, 80 and overAnimalsBrainCross-Sectional StudiesFatty Acids, Omega-3FemaleGray MatterHumansLife StyleMagnetic Resonance ImagingMaleRegression AnalysisSurveys and QuestionnairesFatty Acids, Omega-3

Identifiers

PMID25084680
PMCPMC4171345

What OpenQuestion holds

Textmetadata
LicenceTDM
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.