Evidence map›Paper›PMID 26727476›Full record

ArticlePloS one2016

The Relationship between Neuroticism, Hopelessness, and Depression in Older Korean Immigrants.

Bum Jung Kim, Kristen Linton, Sean Cho, Jung-Hwa Ha

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

4 authors.

Bum Jung KimMyron B. Thompson School of Social Work, University of Hawaii at Manoa, Honolulu, HI, United States of America.
Kristen LintonHealth Sciences Program, California State University at Channel Islands, Camarillo, CA, United States of America.
Sean ChoMyron B. Thompson School of Social Work, University of Hawaii at Manoa, Honolulu, HI, United States of America.
Jung-Hwa HaDepartment of Social Welfare, Seoul National University, Seoul, South Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to investigate the relationship between neuroticism, hopelessness, and depression among older Korean immigrants. To extend this line of research, this study aimed to examine the effects of neuroticism and hopelessness in predicting depression among older Korean immigrants.

methodsData for this study came from a survey of 220 first generation Korean immigrants aged 65 years or older in Los Angeles County in 2012. Data were collected by face-to-face interviews with trained social workers using a structured questionnaire translated into Korean. All interviews were conducted in Korean. The neuroticism sub-scale of the Eysenck Personality Questionnaire was used to assess neuroticism (EPQN). Hopelessness was measured by the Beck Hopelessness Scale (BHS). Depression was measured by the 20-item Center of Epidemiological Studies Depression (CES-D) scale.

resultsThe study found that age (β = .26, p< .01), gender (β = -.13, p< .01), income (β = -.13, p< .01), neuroticism (β = .51, p< .01), and hopelessness (β = .15, p< .01) were significant predictors of depression.

conclusionThe study provides preventive strategies that would help in the development of depression-reduction services or programs for the population, especially for those living with neuroticism and hopelessness.

Indexed as

HopeAgedAged, 80 and overDepressionEmigrants and ImmigrantsFemaleHumansLos AngelesMaleNeurotic DisordersRepublic of Korea

Identifiers

PMID26727476
PMCPMC4699713

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.