Evidence map›Paper›PMID 19347839›Full record

ArticleInternational journal of geriatric psychiatry2009

Correlates of depressive symptoms in rural elderly Chinese.

Sujuan Gao, Yinlong Jin, Frederick W Unverzagt, Chaoke Liang, Kathleen S Hall, Feng Ma, Jill R Murrell, Yibin Cheng, Janetta Matesan, Ping Li and 2 more

Open access · greenAbstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
2.8field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 105 citations in OpenAlex.

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

12 authors at 5 institutions in 2 countries.

Sujuan GaoDepartment of Medicine, Indiana University School of Medicine, Indianapolis, Indiana, USA. sgao@iupui.edu
Yinlong Jin
Frederick W Unverzagt
Chaoke Liang
Kathleen S Hall
Feng Ma
Jill R Murrell
Yibin Cheng
Janetta Matesan
Ping Li
Jianchao Bian
Hugh C Hendrie
Chinese Center For Disease Control and Prevention · CNIndiana University – Purdue University Indianapolis · USIndiana University School of MedicineRegenstrief Institute · USSichuan Center for Disease Control and Prevention · CN

Funding

Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Selenium, other risk factors and cognitive decline in rural elderly ChineseR01AG019181 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GAO, SUJUAN · 2003 to 2014
$4.1M
NIA NIH HHS P30 AG010133NIA NIH HHS P30 AG10133NIA NIH HHS R01 AG019181
6 · The paper itself

Abstract

objectiveLate life depression has been studied in many populations around the world. However, findings on risk factors for late life depression have remained inconsistent.

methodsA cross-sectional survey of 1737 rural Chinese age 65 and over from two provinces in China was conducted assessing cognitive functions using various cognitive instruments and collecting information on demographic characteristics and medical history. Depressive symptoms were assessed using the Geriatric Depression Scale (GDS). Analysis of covariance and logistic regression models were used to identify factors associated with the continuous GDS score, mild or severe depression.

resultsIn this cohort, 26.5% (95% CI: 24.4-28.6%) met the criteria for mild depression and 4.3% (95% CI: 3.4-5.4%) for severely depression. Living alone, history of heart attack, head injury, and fracture were associated with higher depressive symptoms. Alcohol consumption and higher cognitive function were associated with lower depressive symptoms. Living alone, not attended school, history of head injury, fracture, and low cognitive function were associated with increased probability of mild depression. Living alone, history of stroke or heart attack, and low cognitive function were associated with severe depression.

conclusionsDepression, particularly mild depression, is common in rural elderly Chinese. Among a number of factors identified in this cohort as being significantly associated with depressive symptoms, living alone and lower cognitive function were the most consistent factors associated with depressive symptoms, mild and severe depression. History of stroke, heart attack, and fracture were also risk factors for depressive symptoms.

Indexed as

Rural HealthAgedAged, 80 and overAlcohol DrinkingAnalysis of VarianceChinaCross-Sectional StudiesDepressive DisorderFemaleGeriatric AssessmentHealth StatusHumansLogistic ModelsMalePsychiatric Status Rating ScalesRisk Factors

Identifiers

PMID19347839
PMCPMC2833291
OpenAlexW1968153180

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.