Breast cancer screening behaviors among Chinese women in Mainland China

Bao, Yingyi; Kwok, Cannas; Lee, Chun Fan

doi:10.1111/nhs.12533

Cited by 15 publications

(17 citation statements)

References 26 publications

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“…Although recent reviews report knowledge about symptoms, risk factors and screening methods of breast cancer is an important predictor of participation in breast cancer screening,12 13 15 39 41 this review did not provide strong evidence regarding the effect of knowledge due to inconsistent findings between different studies. This might be explained by poor awareness and knowledge about breast cancer among Chinese women, which was reported by several studies 42–44. Given the rapid increase in breast cancer incidence, improving the knowledge about breast cancer screening as one of the educational components should be a high priority in the national health agenda.…”

Section: Discussionmentioning

confidence: 99%

Factors associated with breast cancer screening participation among women in mainland China: a systematic review

Liu

et al. 2019

BMJ Open

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ObjectivesAlthough detecting breast cancer at an early stage through screening has been clearly shown to be an effective strategy, the screening participation rate in China remains low. This systematic review sought to synthesise the current evidence to identify factors associated with breast cancer screening participation among women in mainland China.DesignThis study was a systematic review.Data sourcesStudies were collected from PubMed, PsycINFO, CINAHL, EMBASE and three major Chinese databases, specially China National Knowledge Infrastructure, Chongqing VIP and Wanfang Data.Eligibility criteriaAll included papers were original research studies with a longitudinal or cross-sectional study design that considered associated factors of breast cancer screening participation among women in mainland China.Data extraction and synthesisStudy selection, data extraction and quality assessment were conducted independently by two reviewers, involving a third to help reach a consensus when necessary. Primary outcomes of interest included factors associated with breast cancer screening participation.ResultsA total of 19 studies were included in this review. Based on these studies, geographical region, a personal history of breast disease, past screening behaviours for breast disease, physical examination and the availability of medical specialists/equipment for breast examination were consistently associated with participation in breast cancer screening, while residential area, ethnicity and attitude towards breast cancer screening appeared to be associated with participation in breast cancer screening. There were additionally some factors with even more limited evidence with which to ascertain their association with screening participation.ConclusionsThere exists a wide range of factors that influence breast cancer screening participation in mainland China. These findings could help to inform future research and policy efforts.

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Section: Discussionmentioning

confidence: 99%

Factors associated with breast cancer screening participation among women in mainland China: a systematic review

Liu

et al. 2019

BMJ Open

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“…Numerous studies have been conducted to investigate the factors that may affect women’s participation in breast screening [ 17 , 33 , 34 ], but there remains relatively limited research on this topic in China, especially studies based on PMT. Previous studies in Iran have identified the importance of several PMT subcontracts in predicting breast cancer screening [ 35 , 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Determinants of Intention to Participate in Breast Cancer Screening among Urban Chinese Women: An Application of the Protection Motivation Theory

Zhang

Wei

et al. 2021

IJERPH

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Despite the significance of early detection of breast cancer through screening, the screening uptake in China remains relatively low. Protection motivation theory (PMT) suggested by Rogers is one of the theories concerning threat appeal. This study aimed to apply the protection motivation theory (PMT) in predicting breast cancer screening intention. In this cross-sectional study, a sample of Chinese urban women was recruited using the convenient sampling method from five communities in Wuhan. Data were collected using a self-report questionnaire that included demographic variables, knowledge about breast cancer, six PMT subconstructs, and screening intention. We used the structural equation modeling (SEM) to identify the predictor factors associated with screening intention. Of the total sample (n = 412), 86.65% had intention to participate in screening. Our data fit the hypothesized SEM model well (Goodness of fit index (GFI) = 0.91, adjusted GFI (AGFI) = 0.89, comparative fit index (CFI) = 0.91, root mean square error of approximation (RMSEA) = 0.05, standardized root mean residual (SRMR) = 0.06, and Chi-square/df = 2.01). Three PMT subconstructs (perceived severity, response cost, and self-efficacy) were significantly associated with screening intention. Knowledge, social status, and medical history had significantly indirect associations with screening intention through the mediating effect of PMT subconstructs. Considering the utility of PMT, intervention programs might be more effective based on the subconstructs of PMT, especially to improve self-efficacy, perceived severity, and knowledge, reduce response cost, as well as targeting specific demographic groups.

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“…The current status of screening is not optimistic. The statistics indicated that the participation rate in screening practices ranged from 27.5% for breast self‐examination (BSE), 36.4% for clinical breast examination, 23.5% for mammography and 40% for ultrasonography . In addition, other surveys illustrate that the population of women with breast cancer is younger.…”

Section: Introductionmentioning

confidence: 99%

Predicting women's intentions to screen for breast cancer based on the health belief model and the theory of planned behavior

Wang

Chen

Xie

et al. 2019

J of Obstet and Gynaecol

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Aim: The objective of this study is to identify the role of factors influencing women's breast cancer screening (BCS) intentions in Changchun city based on the health belief model (HBM) and the theory of planned behavior (TPB). Methods: A cross-sectional study of 422 women aged 17-75 years was conducted in Changchun, northern China, in 2018. Data were collected using a questionnaire that included three parts. We used descriptive analysis, correlation analysis and multiple regressions to analyze data in SPSS version 23.0. Results: Career (P = 0.004), clinical examination (P = 0.002), X-ray examination (P = 0.026), screening costs accepted (100-300 RMB) (P = 0.001), perceived behavioral benefit (P = 0.000), self-efficacy (P = 0.000), subjective norms (P = 0.000), behavioral attitudes (P = 0.000) and perceived behavioral control (P = 0.000) had significant associations with BCS intentions. This study tested the applicability of the HBM (adjusted R 2 = 4.7%, ΔR 2 = 5.6%) and the TPB (adjusted R 2 = 8.3%, ΔR 2 = 3.8%) in the prediction of BCS intentions. It was found that the predictive power of the integrated model (adjusted R 2 = 39%, ΔR 2 = 30.8%) is better than that of each of the single models. Therefore, the integrated model has better predictive power. Conclusion: An exploration of the factors affecting BCS intentions based on the HBM and the TPB is beneficial for reduced mortality and the development of measures to increase women's BCS awareness, thus providing a basis for future research on the factors affecting BCS intentions.

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Breast cancer screening behaviors among Chinese women in Mainland China

Cited by 15 publications

References 26 publications

Factors associated with breast cancer screening participation among women in mainland China: a systematic review

Factors associated with breast cancer screening participation among women in mainland China: a systematic review

Determinants of Intention to Participate in Breast Cancer Screening among Urban Chinese Women: An Application of the Protection Motivation Theory

Predicting women's intentions to screen for breast cancer based on the health belief model and the theory of planned behavior

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