ReviewPreventing chronic disease2012
Strategies for piloting a breast health promotion program in the Chinese-Australian population.
Review in Preventing chronic disease, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Trial
- Co-Designed Culturally Tailored Cancer Screening Promotion Program With Chinese-Australian: Using a Community Partnership Approach.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Article
- Role Playing for Improving Women’s Knowledge of Breast Cancer Screening and Performance of Breast Self-ExaminationAsian Pacific journal of cancer prevention : APJCP · 2017Article
- Conducting Cancer Research among Culturally and Linguistically Diverse Groups in Australia: A Reflection on Challenges and Strategies.AIMS public health · 2016Article
- Formative Development of a Culturally Appropriate Mammography Screening Campaign for Low-Income African-American Women.Journal of health disparities research and practice · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Australia, women from non-English-speaking backgrounds participate less frequently in breast cancer screening than English-speaking women, and Chinese immigrant women are 50% less likely to participate in breast examinations than Australian-born women. Chinese-born Australians comprise 10% of the overseas-born Australian population, and the immigrant Chinese population in Australia is rapidly increasing. We report on the strategies used in a pilot breast health promotion program, Living with Healthy Breasts, aimed at Cantonese-speaking adult immigrant women in Sydney, Australia. The program consisted of a 1-day education session and a 2-hour follow-up session. We used 5 types of strategies commonly used for cultural targeting (peripheral, evidential, sociocultural, linguistic, and constituent-involving) in a framework of traditional Chinese philosophies (Confucianism, Taoism, and Buddhism) to deliver breast health messages to Chinese-Australian immigrant women. Creating the program's content and materials required careful consideration of color (pink to indicate femininity and love), symbols (peach blossoms to imply longevity), word choice (avoidance of the word death), location and timing (held in a Chinese restaurant a few months after the Chinese New Year), communication patterns (the use of metaphors and cartoons for discussing health-related matters), and concern for modesty (emphasizing that all presenters and team members were female) to maximize cultural relevance. Using these strategies may be beneficial for designing and implementing breast cancer prevention programs in Cantonese-speaking Chinese immigrant communities.
Indexed as
Identifiers
22172170PMC3266691What OpenQuestion holds
Registered trials
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.