ArticleBreast cancer (Tokyo, Japan)2023
Factors associated with non-participation in breast cancer screening: analysis of the 2016 and 2019 comprehensive survey of living conditions in Japan.
Article in Breast cancer (Tokyo, Japan), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- Prevalence and associated factors of mammography uptake among the women aged 45 years and above: policy implications from the longitudinal ageing study in India wave I survey.BMC public health · 2025Article
- Change in Breast Cancer Screening Participation during COVID-19 Based on the 2019 and 2022 Comprehensive Survey of Living Conditions in Japan.JMA journal · 2025Article
- The First Use of the Washington Group Short Set in a National Survey of Japan: Characteristics of the New Disability Measure in Comparison to an Existing Disability Measure.International journal of environmental research and public health · 2024Article
- Relationship between health checkups and cancer screenings of wives and health checkups of their husbands: A cross-sectional study in Japan.Preventive medicine reports · 2024Article
- Use of General Health Examination and Cancer Screening among People with Disability Who Need Support from Others: Analysis of the 2016 Comprehensive Survey of Living Conditions in Japan.International journal of environmental research and public health · 2024Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe participation rate for breast cancer screening remains to be suboptimal in Japan. Therefore, it is important to identify factors associated with non-participation and identify people at high risk for non-participation.
methodsWe carried out a cross-sectional study using the data of women aged 40-74 years from the 2016 and 2019 Comprehensive Survey of Living Conditions. We selected candidate predictor variables from the survey sheets and conducted a multivariable logistic regression for non-participation in breast cancer screening for the past 2 years. In addition, using data from 2016, we created an integer risk score for non-participation and tested its predictive performance in 2019.
resultsThe proportion of participants in breast cancer screening in 2016 and 2019 were 46.7% (50,177/107,513) and 48.7% (49,498/101,716), respectively. In multivariable logistic regression analysis, age over 50 years, single/divorced/widowed, lower education level, lower household expenditure, being insured for National Health Insurance, employed to small/middle scale company, non-regularly employed, current smoker, never/quit drinking or middle/high-risk drinking, lower self-rated health status, higher Kessler Psychological Distress Scale score, non-participation in the annual health checkups for diseases other than cancer, not constantly visiting hospitals/clinics showed a positive association with non-participation. The 9-item risk score (age, marital status, education, health insurance plan, employment, smoking, drinking, non-participation in the annual health checkups for diseases other than cancer, and not constantly visiting hospitals/clinics) and 3-item risk score (age, health insurance plan, non-participation in the annual health checkups for diseases other than cancer) showed the area under the receiver operating characteristic curve of 0.744 and 0.720, respectively.
conclusionWe identified factors associated with non-participation in breast cancer screening. The simple risk score would be useful for public health sectors to identify people at risk for non-participation.
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