Evidence map›Paper›PMID 35529416›Full record

ArticleAsia-Pacific journal of oncology nursing2022

Factors associated with the quality of work life among working breast cancer survivors.

Juhyun Jin

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

1 author.

Juhyun JinInstitute of Nursing Science, College of Nursing, Daegu Catholic University, Daegu, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In South Korea, the incidence and survival rate of breast cancer are high, and the return-to-work rate of breast cancer survivors continues to increase. However, there are various obstacles after returning to work, which can negatively affect long-term quality of life management. Therefore, the purpose of this study is to identify factors associated with the quality of work life, which is a priority factor in managing the quality of life. Methods: Data were collected from 169 female breast cancer survivors and participants were selected from three different hospitals in the metropolitan city and snowball sampling was used in conjunction. The participants filled out questionnaires about a variety of factors that may associated with quality of work life (QWL); the data were analyzed using descriptive statistics, Results: All participants were women with an average age of 48.9 years after diagnosis of cancer, with 65.7% married. 46.2% of them were in Cancer stage 1, 65.7% had work experience over six years, and most of them were educated managerial workers, fixed duty. Multiple regression analysis indicated perceived health status, social support of superior and colleagues and spiritual well-being were positive predictors and cancer fatigue and distress were negative predictors of QWL, explaining 49.5% (adjusted Conclusions: For increasing the QWL of working breast cancer survivors, decreasing cancer fatigue and distress and increasing perceived health status, social support, and spiritual wellbeing can be considered. The findings can contribute for developing effective and systematic interventions that consider the identified predictors to enhance the QWL and successful returning to work and job retaining.

Indexed as

Cancer survivorsDistressQuality of work lifeReturn to workSpiritual well-being

Identifiers

PMID35529416
PMCPMC9072182

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.