Evidence map›Paper›PMID 35250405›Full record

ArticleInternational journal of mental health and addiction2022

Can Ikigai Predict Anxiety, Depression, and Well-being?

Juliet Wilkes, Gulcan Garip, Yasuhiro Kotera, Dean Fido

Abstract read
In one paragraph

Article in International journal of mental health and addiction, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Biopsychosocial Consideration ofGeriatrics (Basel, Switzerland) · 2024
    Article
  4. Review
  5. Article
  6. Article
  7. "It's always happy to see me": Exploring LOVOT robots as companions for older adults.Journal of rehabilitation and assistive technologies engineering
    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.

Juliet WilkesEnterprise Centre, University of Derby Online Learning, University of Derby, Bridge Street, Derby, DE1 3LD UK.
Gulcan GaripEnterprise Centre, University of Derby Online Learning, University of Derby, Bridge Street, Derby, DE1 3LD UK.
Yasuhiro KoteraEnterprise Centre, University of Derby Online Learning, University of Derby, Bridge Street, Derby, DE1 3LD UK.
Dean FidoEnterprise Centre, University of Derby Online Learning, University of Derby, Bridge Street, Derby, DE1 3LD UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Japanese construct of ikigai reflects a sense of having 'purpose in life' or a 'reason for living and has been associated with a variety of positive health outcomes. However, to date little research into ikigai exists within Western populations. This study explored the predictive power of ikigai for measures of well-being, depression, and anxiety in an adult Western population. Ninety-four participants (70% female) responded to an online survey. After accounting for the covariates of sex, age, employment status, and student status, multiple hierarchical regression indicated that ikigai positively predicted well-being and negatively predicted depression. While on its own, ikigai negatively predicted anxiety; this was not the case after accounting for the aforementioned covariates. The findings support the importance for investigating ikigai in the West and the need for further exploration of ikigai as a potential means of bringing about benefit in mental well-being.

Indexed as

AnxietyDepressionGeneral populationIkigaiWell-being

Identifiers

PMID35250405
PMCPMC8887802

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.