Evidence map›Paper›PMID 32880088›Full record

ArticleThe journal of behavioral health services & research2021

Use of the Jung/Myers Model of Personality Types to Identify and Engage with Individuals at Greatest Risk of Experiencing Depression and Anxiety.

Nathaniel Rickles, Anthony W Olson, Paul D Tieger, Jon C Schommer, Lawrence M Brown

Abstract read
PubMed Publisher
In one paragraph

Article in The journal of behavioral health services & research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Stronger Together! Meeting the Challenges of a Year Defined by a Pandemic.The journal of behavioral health services & research · 2021
    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

5 authors.

Nathaniel RicklesSchool of Pharmacy, University of Connecticut, 69 North Eagleville Road, Unit 3092, Storrs, CT, 06269-3092, USA. nathaniel.rickles@uconn.edu.ORCID 0000-0003-2075-0063
Anthony W OlsonResearch Division/ 6 AV-2, Essentia institute of Rural Health, 502 East 2nd St, Duluth, MN, 55805, USA.
Paul D TiegerSpeedReading People, LLC, 100 Allyn Street, Hartford, CT, 06103, USA.
Jon C SchommerCollege of Pharmacy, University of Minnesota, 308 Harvard Street SE, Minneapolis, MN, 55455, USA.
Lawrence M BrownChapman University, One University Drive, Orange, CA, 92866, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is the leading cause of ill health and disability worldwide. Objectives were (1) to determine the strength of the association between personality type with depression and anxiety using the Preferred Communication Style Questionnaire (PCSQ©) and the Four-Item Patient Health Questionnaire for Depression and Anxiety (PHQ-4) and (2) evaluate the extent to which severity of depression and anxiety is associated with personality type. Data were collected via a self-administered online survey of 10,500. Chi-square analysis compared personality types and depression and anxiety. Practical significance was determined by calculating the percentage-from-expected score based on established statistics reflecting each personality type's percentage in the US population. Personality type was strongly associated with both depression and anxiety with certain types at significantly greater risk than others. Findings can improve the research and clinical community's understanding of the specific risk factors and triggers for depression and anxiety, and result in more efficacious, tailored treatment options.

Indexed as

AnxietyDepressionAnxiety DisordersHumansPersonalitySurveys and Questionnaires

Identifiers

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.