Breast and cervical cancer screening adherence in Jiangsu, China: An ecological perspective

Sun, Yanjun; Ma, Yuhao; Cao, Menghan; Hu, Zhiqing; Lin, Wei; Chen, Mingsheng; He, Yuan

doi:10.3389/fpubh.2022.967495

Cited by 10 publications

(3 citation statements)

References 39 publications

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“…The coverage of screening might be still insufficient, and the willing women may not be able to access the screening due to potential barriers. [ 32 , 33 ] Family income was an important socio-economic factor to promote women’s CC screening, which should be considered in improving the coverage of CC screening in China. The effect of family income on the proportion of screening emphasized that providing free screening services would have a positive significance in improving the current CC proportion of screening in China.…”

Section: Discussionmentioning

confidence: 99%

A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China

Zhu

et al. 2023

BMC Women's Health

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Background Cervical cancer (CC) screening is currently recognized as an effective intervention for CC. Previous studies found that the proportion of screening was low in China, especially in Liaoning. Therefore, we performed a population-based cross-sectional survey to investigate the situation of cervical cancer screening and analyze their related factors for providing a decision-making basis for sustainable and effective development of cervical cancer screening. Methods This population-based cross-sectional study involved aged 30 to 69 years in nine counties/districts in Liaoning from 2018 to 2019. Data were collected using the quantitative data collection methods, and analyzed in SPSS version 22.0. Results Overall, only 22.37% of 5334 respondents reported having ever been screened for cervical cancer in past 3 years, and 38.41% of respondents reported having the willingness for cervical cancer screening in next 3 years. In the rate of CC screening, multilevel analysis indicated that age, marital status, education level, type of occupation, medical insurance, family income, place of residence and regional economic level had a significant impact on proportion of screening. In the rate of CC screening willingness, multilevel analysis indicated that age, family income, health status, place of residence, regional economic level and CC screening still had a significant impact, but marital status, education level and medical insurance type had no significant impact. There was no significant difference in marital status, education level and medical insurance type after the factors of CC screening were added in the model. Conclusion Our study found both proportion of screening and willingness were at a low level, and age, economic and regional factors were the main factors for implementation of CC screening in China. In the future, targeted policies should be formulated according to the characteristics of different groups of people, and reduce the gap in the current health service capacity between different regions.

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Section: Discussionmentioning

confidence: 99%

A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China

Zhu

et al. 2023

BMC Women's Health

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“…Early detection plays a pivotal role in the successful treatment and prognosis of breast cancer. Subsequent postoperative follow-up efforts significantly influence the survival rate by monitoring potential recurrence (5,6). The challenges posed by lateonset symptoms, difficulties in evaluating tumour malignancy, and the unpredictable nature of the disease contribute to its elevated mortality rate (7).…”

Section: Introductionmentioning

confidence: 99%

Value of altered methylation patterns of genes RANBP3, LCP2 and GRAP2 in cfDNA in breast cancer diagnosis

Hu,

Mao,

Lan

et al. 2024

J Med Biochemistry

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Background: The purpose of this study was to investigate the potential of plasma cfDNA methylation patterns in reflecting tumor methylation changes, focusing on three candidate sites, cg02469161, cg11528914, and cg20131654. These sites were selected for verification, with a particular emphasis on their association with breast cancer. Methods: We conducted a comprehensive analysis of 850k whole-methylation sequencing data to identify potential markers for breast cancer detection. Subsequently, we examined the methylation status of genes RANBP3, LCP2, and GRAP2, where the aforementioned sites are located, using cancer and cancer-adjacent tissues from 17 breast cancer patients. We also assessed the methylation patterns in different molecular subtypes and pathological grades of breast cancer. Additionally, we compared the methylation levels of these genes in plasma cfDNA to their performance in tissues. Results: Our analysis revealed that RANBP3, LCP2, and GRAP2 genes exhibited significant methylation differences between cancer and cancer-adjacent tissues. In breast cancer, these genes displayed diagnostic efficiencies of 91.0%, 90.6%, and 92.2%, respectively. Notably, RANBP3 showed a tendency towards lower methylation in HR+ breast cancer, and LCP2 methylation was correlated with tumor malignancy. Importantly, the methylation levels of these three genes in plasma cfDNA closely mirrored their tissue counterparts, with diagnostic efficiencies of 83.3%, 83.9%, and 77.6% for RANBP3, LCP2, and GRAP2, respectively. Conclusions: Our findings suggest that RANBP3, LCP2, and GRAP2 genes, located at the identified methylation sites, can serve as valuable blood molecular markers for the auxiliary diagnosis of breast cancer. This research provides a foundation for further exploration of gene methylation pattern changes in cfDNA for the detection of breast cancer and other cancer types.

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“…Given the complexity of most public health challenges, the health-ecological model has been increasingly embraced in the field of public health [ 31 ]. Numerous studies have applied the health-ecological model to understand complex public problems, such as mental health in the elderly [ 32 ], cancer screening adherence [ 33 ], and health disparities [ 34 ]. However, fewer literatures have used this model to study the underlying factors of multimorbidity.…”

Section: Introductionmentioning

confidence: 99%

Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective

Chen

Shi

Zheng

et al. 2022

IJERPH

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(1) Background: Multimorbidity has become one of the key issues in the public health sector. This study aims to explore the patterns and health-ecological factors of multimorbidity in China to propose policy recommendations for the management of chronic diseases in the elderly. (2) Methods: A multi-stage random sampling method was used to conduct a questionnaire survey on 3637 older adults aged 60 and older in Shanxi, China. Association rule mining analysis (ARM) and network analysis were applied to analyze the patterns of multimorbidity. The health-ecological model was adopted to explore the potential associated factors of multimorbidity in a multidimensional perspective. A hierarchical multiple logistic model was employed to investigate the association strengths reflected by adjusted odds ratios and 95% confidence. (3) Results: Multimorbidity occurred in 20.95% of the respondents. The graph of network analysis showed that there were 6 combinations of chronic diseases with strong association strengths and 14 with moderate association strengths. The results of the ARM were similar to the network analysis; six dyadic chronic disease combinations and six triadic ones were obtained. Hierarchical multiple logistic regression indicated that innate personal traits (age, history of genetics, and body mass index), behavioral lifestyle (physical activity levels and medication adherence), interpersonal network (marital status), and socioeconomic status (educational level) were the common predictors of multimorbidity for older adults, among which, having no family history was found to be a relative determinant as a protective factor for multimorbidity after controlling the other covariates. (4) Conclusions: multimorbidity was prevalent in older adults and most disease combinations are associated with hypertension, followed by diabetes. This shows that diabetes and hypertension have a high prevalence among older adults and have a wide range of associations with other chronic diseases. Exploring the patterns and associated factors of multimorbidity will help the country prevent complications and avoid the unnecessary use of the health service, adopting an integrated approach to managing multimorbidity rather than an individual disease-specific approach and implementing different strategies according to the location of residence.

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Breast and cervical cancer screening adherence in Jiangsu, China: An ecological perspective

Cited by 10 publications

References 39 publications

A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China

A population-based cross-sectional study on the situation of cervical cancer screening in Liaoning, China

Value of altered methylation patterns of genes RANBP3, LCP2 and GRAP2 in cfDNA in breast cancer diagnosis

Patterns and Determinants of Multimorbidity in Older Adults: Study in Health-Ecological Perspective

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