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Trends in breast cancer mortality attributable to metabolic risks in Chinese women from 1990 to 2019: an age-period-cohort analysis.
Zhang, Ting; Sun, Simeng; Xia, Ting; Huang, Qiaoyu; Fu, Yali; Wang, Weiwei; Yang, Huafeng; Hong, Xin; Zhou, Nan; Yu, Hao.
Afiliação
  • Zhang T; Department of Science and Education, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Sun S; Department of Science and Education, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Xia T; Monash Addiction Research Centre, Monash University, Frankston, VC, Australia.
  • Huang Q; Department of Science and Education, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Fu Y; Department of Epidemiological Research, Jiangsu Health Development Research Center, Nanjing, Jiangsu, China.
  • Wang W; Department of Noncommunicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Yang H; Department of Noncommunicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Hong X; Department of Noncommunicable Chronic Disease Control and Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
  • Zhou N; Division of Medical Affairs, Nanjing Municipal Health Commission, Nanjing, Jiangsu, China.
  • Yu H; Department of Noncommunicable Chronic Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China.
Front Oncol ; 14: 1369027, 2024.
Article em En | MEDLINE | ID: mdl-38690163
ABSTRACT

Objective:

Metabolic risks (MRs) are the primary determinants of breast cancer (BC) mortality among women. This study aimed to examine the changing trends in BC mortality associated with MRs and explore how they related to age, time period, and birth cohorts in Chinese women aged 25 and above.

Methods:

Data were sourced from the Global Burden of Disease Study 2019 (GBD2019). The BC mortality trajectories and patterns attributable to MRs were assessed using Joinpoint regression. The age-period-cohort (APC) model was employed to evaluate cohort and time period effects.

Results:

The age-standardized mortality rate (ASMR) of BC mortality linked to MRs displayed an escalating trend from 1990 to 2019, demonstrating an average annual percentage change (AAPC) of 1.79% (95% CI 1.69~1.87). AAPCs attributable to high fasting plasma glucose (HFPG) and high body mass index (HBMI) were 0.41% (95% CI 0.32~0.53) and 2.75% (95% CI 2.68~2.82), respectively. APC analysis revealed that BC mortality due to HBMI in women aged 50 and above showed a rise with age and mortality associated with HFPG consistently demonstrated a positive correlation with age. The impact of HBMI on BC mortality significantly outweighed that of HFPG. The risk of BC mortality linked to HBMI has steadily increased since 2005, while HFPG demonstrated a trend of initial increase followed by a decrease in the period effect. Regarding the cohort effect, the relative risk of mortality was greater in the birth cohort of women after the 1960s of MRs on BC mortality, whereas those born after 1980 displayed a slight decline in the relative risk (RR) associated with BC mortality due to HBMI.

Conclusion:

This study suggests that middle-aged and elderly women should be considered as a priority population, and control of HBMI and HFPG should be used as a primary tool to control metabolic risk factors and effectively reduce BC mortality.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Oncol Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China