Evidence map›Paper›PMID 35106873›Full record

ArticleNursing & health sciences2022

Breast cancer screening practices and associated factors among Chinese-Australian women living in Sydney: A cross-sectional survey study.

Lei Wang, Lynette Mackenzie, Zakia Hossain

Abstract read
In one paragraph

Article in Nursing & health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Lei WangSchool of Rehabilitation, Kunming Medical University, Kunming, China.
Lynette MackenzieDiscipline of Occupational Therapy, School of Health Sciences, The University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-1597-2051
Zakia HossainSchool of Health Sciences, University of Sydney, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8847-3464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate breast cancer screening practices and associated factors among Chinese-Australian women. A cross-sectional quantitative survey method including convenience and snowball sampling was used to recruit 115 Chinese-Australian women living in Sydney, using a self-administered survey. In all, 69.8% of participants reported recent clinical breast examinations and 73.3% had mammograms. Age, religion, employment status, and length of residence were associated with having a clinical breast examination. Income was related to having a mammogram. Associations between knowledge of breast cancer, cancer-related beliefs, and screening participation were found. Length of residence in Australia was the strongest predictor of having a clinical breast examination and mammogram. The most common barrier to mammography was if women felt that doctors did not recommend it to them. Chinese-Australian women need to be educated about awareness of their usual breast health to be aware of any changes, especially if women are not eligible for mammography or have difficulty in accessing health services. Tailored programs, improving screening experiences, and minimizing perceived barriers are needed to promote early detection of breast cancer among Chinese-Australian women.

Indexed as

Breast NeoplasmsEarly Detection of CancerAustraliaChinaCross-Sectional StudiesFemaleHealth Knowledge, Attitudes, PracticeHumansMass ScreeningSurveys and Questionnairesbarriersclinical breast examinationcross-cultural healthearly detectionmammogramscreening

Identifiers

PMID35106873
PMCPMC9305288

What OpenQuestion holds

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LicenceCC BY
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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.