Evidence map›Paper›PMID 25437860›Full record

ArticlePloS one2014

Burden and correlates of geriatric depression in the Uyghur elderly population, observation from Xinjiang, China.

Lei Feng, Ping Li, Chen Lu, Weiming Tang, Tanmay Mahapatra, Yu Wang, Xihua Wang, Ying Ma, Yanli Ben, Xiaolin Cao and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

21 authors at 4 institutions in 3 countries.

Lei FengThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Ping LiThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Chen LuThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Weiming TangUniversity of North Carolina Project-China, Guangzhou, Guangdong, 510095, China.
Tanmay MahapatraFielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90066, United States of America.
Yu WangThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Xihua WangThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Ying MaAnhui medical university, Hefei, Anhui, 230032, China.
Yanli BenThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Xiaolin CaoThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Sanchita MahapatraFielding School of Public Health, University of California Los Angeles, Los Angeles, CA, 90066, United States of America.
Min LingThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Anshuan GouThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Yanmei WangThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Jiangqin XiaoThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Ming HouThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Xiuli WangThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Bo LinThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Ruoling ChenCentre for Health and Social Care Improvement (CHSCI), Faculty of Education, Health and Wellbeing, University of Wolverhampton, Wolverhampton, WV1 1DT, United Kingdom.
Faxing WangThe people's hospital of Xinjiang Uyghur autonomous region, Urumqi, Xinjiang, 830000, China.
Zhi HuAnhui medical university, Hefei, Anhui, 230032, China.
People's Hospital of Xinjiang Uygur Autonomous Region · CNAnhui Medical University · CNUniversity of California, Los Angeles · USUniversity of Wolverhampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the gradual aging of the population, geriatric depression has become a major public health issue in China owing to its overall upward trend and associated negative socio-economic impact. Dearth of information regarding the burden and correlates of geriatric depression among Uyghur minority population in Xinjiang Autonomous Region, called for a comprehensive survey involving representative sample for designing efficient targeted intervention to control this disabling disease.

methodsA cross-sectional study was conducted among 1329 consenting Uyghur elderly in 2011 in six randomly selected communities/villages in Xinjiang. Information about socio-demographics, behavior, negative life-events, satisfaction regarding income/quality of life and other chronic diseases were collected while assessment of geriatric depression was done using Geriatric Mental State Schedule (GMS).

resultsAmong these participants, majority were currently married, had attended elementary school or less, had an average annual family income of less than 3000 Yuan/person, had strong religious beliefs while 10.61% (2.77% in urban and 23.60% in rural area) had geriatric depression (5.91% among male and 14.58% among females). 61.83% were suffering from other chronic diseases, 96.16% could take care of themselves and 39.28% had experienced negative events during last two years. Religious belief (AOR = 3.92, 95% CI 1.18-13.03), satisfaction regarding quality of life (AOR = 0.53, 95% CI 0.37-0.84) and income (AOR = 0.75, 95% CI 0.35-1.60), suffering from more chronic diseases (AOR = 1.70, 95% CI 1.42-2.04), experiencing three or more negative events (AOR = 1.72, 95% CI 0.92-3.22) and lack of ability to take self-care (AOR = 2.20, 95% CI 1.09-4.48) were all associated with having geriatric depression with or without adjustment for gender, education and occupation.

conclusionHigh prevalence of geriatric depression among Uyghur elderly in Xinjiang seemed to call for urgent interventions, specifically targeting rural residents, who experienced more negative life-events, were suffering from chronic diseases and were dissatisfied with their income and quality of life.

Indexed as

AgedAged, 80 and overAgingChinaCross-Sectional StudiesDepressionDepressive DisorderFemaleHumansIncomeLife Change EventsMaleMiddle AgedPrevalenceQuality of LifeRural Population

Identifiers

PMID25437860
PMCPMC4250089
OpenAlexW1986098648

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.