Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data
ObjectiveTo understand the socioeconomic factors that influence the global burden of breast cancer in women and to provide a reference for further optimization of breast cancer prevention, screening, and treatment strategies. MethodsData on the global age-standardized incidence rate (standardized in...
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Editorial Office of Chinese Journal of Public Health
2024-11-01
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| Series: | Zhongguo gonggong weisheng |
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| Online Access: | https://www.zgggws.com/article/doi/10.11847/zgggws1144500 |
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| author | Tingting XU Ruoyu YANG Jingjing LI Yiying FANG |
| author_facet | Tingting XU Ruoyu YANG Jingjing LI Yiying FANG |
| author_sort | Tingting XU |
| collection | DOAJ |
| description | ObjectiveTo understand the socioeconomic factors that influence the global burden of breast cancer in women and to provide a reference for further optimization of breast cancer prevention, screening, and treatment strategies. MethodsData on the global age-standardized incidence rate (standardized incidence rate) and global age-standardized mortality rate (standardized mortality rate) of breast cancer in women from 175 countries around the world in 2020 were collected from the World Health Organization's Cancer Tomorrow database. The breast cancer mortality to incidence ratio (MIR), a quantitative indicator of the burden of breast cancer, was calculated. Ten indicators representing national socioeconomic development were selected from the World Health Statistics 2020 and the Human Development Report 2020. Correlation analysis and multiple linear regression models were used to analyze the socioeconomic factors influencing the global burden of breast cancer in women. ResultsIn 2020, the average standardized incidence rate, standardized mortality rate, and MIR of breast cancer among women in 175 countries worldwide were 49.39 ± 22.35/100 000, 13.85 ± 5.48/100 000, and 0.33 ± 0.15%, respectively. The mean values of the 10 selected indicators representing national socioeconomic development were as follows: 2 138.06 ± 7 465.03 million for total female population, 26.58 ± 17.12 μg/m3 for mean annual urban particulate matter concentration; 63.97 ± 57.32 per 10 000 population for density of physicians, 4.01 ± 4.11 per 10 000 population for density of pharmacists, 4.11 ± 4.32 US dollars for net official development assistance received by the medical research and basic health sector per capita, 63.65 ± 20.31 for average of 13 International Health Regulations Core Capacity Scores, 10. 41 ± 5.17% for the percentage of government health expenditure, 68.00 ± 28.65% for the percentage of the population using safely managed sanitation services, 66.05 ± 95.28 million US dollars in official development assistance (ODA) provided through government-coordinated expenditure plans specifically for water and sanitation, and 0.587 ± 0.190 for the inequality-adjusted Human Development Index (HDI). Correlation analysis showed that the global MIR of breast cancer in women was positively correlated with urban particulate matter (r = 0. 480) and net ODA per capita (r = 0. 516) (both P < 0. 001) and negatively correlated with physician density (r = – 0.782), pharmacist density (r = – 0.639), average core capacity score (r = – 0.635), percentage of government health expenditure (r = – 0.614), population using sanitation services (r = – 0.624), and HDI (r = – 0.900) (all P < 0.001). Multiple linear regression analysis showed that net ODA per capita had a positive effect on the female breast cancer burden (β = 0.003, 95% confidence interval [95%CI]: 0.002 – 0.007), while total female population (β = – 0.004, 95%CI: – 0.005 to – 0.003), physician density (β = – 0.007, 95%CI: – 0.008 to – 0.006), pharmacist density (β = – 0.026, 95%CI: – 0.030 to – 0.021), average core capacity score (β = – 0.005, 95%CI: – 0.006 to – 0.004), and HDI (β = – 0.873, 95%CI: – 0.906 to – 0.574) had negative effects. ConclusionThe global burden of breast cancer in women is influenced by a variety of socioeconomic factors, including the macroeconomic level, the efficiency of health resource allocation, national investments in public health, and the social environment. |
| format | Article |
| id | doaj-art-2741f20ec112478692d12f8f03513cee |
| institution | Kabale University |
| issn | 1001-0580 |
| language | zho |
| publishDate | 2024-11-01 |
| publisher | Editorial Office of Chinese Journal of Public Health |
| record_format | Article |
| series | Zhongguo gonggong weisheng |
| spelling | doaj-art-2741f20ec112478692d12f8f03513cee2025-01-23T05:12:02ZzhoEditorial Office of Chinese Journal of Public HealthZhongguo gonggong weisheng1001-05802024-11-0140111375137910.11847/zgggws11445001144500Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO dataTingting XU0Ruoyu YANG1Jingjing LI2Yiying FANG3Tianjin Medical University Cancer Hospital and National Clinical Research Center for Cancer, Tianjin 300060, ChinaSchool of Economics and Management, Civil Aviation University of China, Tianjin 300300, ChinaTianjin Medical University Cancer Hospital and National Clinical Research Center for Cancer, Tianjin 300060, ChinaMinistry of Foreign Affairs of the People's Republic of China, Beijing 100701, ChinaObjectiveTo understand the socioeconomic factors that influence the global burden of breast cancer in women and to provide a reference for further optimization of breast cancer prevention, screening, and treatment strategies. MethodsData on the global age-standardized incidence rate (standardized incidence rate) and global age-standardized mortality rate (standardized mortality rate) of breast cancer in women from 175 countries around the world in 2020 were collected from the World Health Organization's Cancer Tomorrow database. The breast cancer mortality to incidence ratio (MIR), a quantitative indicator of the burden of breast cancer, was calculated. Ten indicators representing national socioeconomic development were selected from the World Health Statistics 2020 and the Human Development Report 2020. Correlation analysis and multiple linear regression models were used to analyze the socioeconomic factors influencing the global burden of breast cancer in women. ResultsIn 2020, the average standardized incidence rate, standardized mortality rate, and MIR of breast cancer among women in 175 countries worldwide were 49.39 ± 22.35/100 000, 13.85 ± 5.48/100 000, and 0.33 ± 0.15%, respectively. The mean values of the 10 selected indicators representing national socioeconomic development were as follows: 2 138.06 ± 7 465.03 million for total female population, 26.58 ± 17.12 μg/m3 for mean annual urban particulate matter concentration; 63.97 ± 57.32 per 10 000 population for density of physicians, 4.01 ± 4.11 per 10 000 population for density of pharmacists, 4.11 ± 4.32 US dollars for net official development assistance received by the medical research and basic health sector per capita, 63.65 ± 20.31 for average of 13 International Health Regulations Core Capacity Scores, 10. 41 ± 5.17% for the percentage of government health expenditure, 68.00 ± 28.65% for the percentage of the population using safely managed sanitation services, 66.05 ± 95.28 million US dollars in official development assistance (ODA) provided through government-coordinated expenditure plans specifically for water and sanitation, and 0.587 ± 0.190 for the inequality-adjusted Human Development Index (HDI). Correlation analysis showed that the global MIR of breast cancer in women was positively correlated with urban particulate matter (r = 0. 480) and net ODA per capita (r = 0. 516) (both P < 0. 001) and negatively correlated with physician density (r = – 0.782), pharmacist density (r = – 0.639), average core capacity score (r = – 0.635), percentage of government health expenditure (r = – 0.614), population using sanitation services (r = – 0.624), and HDI (r = – 0.900) (all P < 0.001). Multiple linear regression analysis showed that net ODA per capita had a positive effect on the female breast cancer burden (β = 0.003, 95% confidence interval [95%CI]: 0.002 – 0.007), while total female population (β = – 0.004, 95%CI: – 0.005 to – 0.003), physician density (β = – 0.007, 95%CI: – 0.008 to – 0.006), pharmacist density (β = – 0.026, 95%CI: – 0.030 to – 0.021), average core capacity score (β = – 0.005, 95%CI: – 0.006 to – 0.004), and HDI (β = – 0.873, 95%CI: – 0.906 to – 0.574) had negative effects. ConclusionThe global burden of breast cancer in women is influenced by a variety of socioeconomic factors, including the macroeconomic level, the efficiency of health resource allocation, national investments in public health, and the social environment.https://www.zgggws.com/article/doi/10.11847/zgggws1144500breast cancerwomenburden of diseasesocioeconomic factorglobal |
| spellingShingle | Tingting XU Ruoyu YANG Jingjing LI Yiying FANG Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data Zhongguo gonggong weisheng breast cancer women burden of disease socioeconomic factor global |
| title | Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data |
| title_full | Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data |
| title_fullStr | Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data |
| title_full_unstemmed | Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data |
| title_short | Socioeconomic indicators related to the global burden of breast cancer in women in 2020: an analysis of WHO data |
| title_sort | socioeconomic indicators related to the global burden of breast cancer in women in 2020 an analysis of who data |
| topic | breast cancer women burden of disease socioeconomic factor global |
| url | https://www.zgggws.com/article/doi/10.11847/zgggws1144500 |
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