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Death trends and age-period-cohort model analyses of lung cancer, Sichuan, 2007-2021
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Feng HU, Yuan MA, Hong KANG
Modern Preventive Medicine | 2024, 51(8) : 1370 - 1376
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Modern Preventive Medicine | 2024, 51(8): 1370-1376
Epidemiology and Statistical Methods Advances
Death trends and age-period-cohort model analyses of lung cancer, Sichuan, 2007-2021
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Feng HU, Yuan MA, Hong KANG
Affiliations
  • Key Laboratory of Birth Defects and Related Women and Children’s Diseases, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, Sichuan 610041, China
Published: 2024-04-25 doi: 10.20043/j.cnki.MPM.202401393
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Objective

To analyze the mortality trend of lung cancer in Sichuan Province from 2007 to 2021, and provide evidence for formulating lung cancer prevention and control policies in the new period.

Methods

Lung cancer mortality was obtained from Health Statistics Yearbook of Sichuan Province. A cohort age-period model was used to estimate the effect of age, period and birth cohort on lung cancer mortality in residents aged 20-84.

Results

The mortality rates of lung cancer in male and female increased from 59.68/100 000 and 16.48/100 000 in 2007 to 75.14/100 000 and 30.49/100 000 in 2021 respectively. Compared with residents aged 20-24, male and female residents aged 75-79 were 101 times and 121 times higher than those aged 20-24 respectively; male and female lung cancer mortality risks from 2017 to 2021 were 1.29 times and 1.31 times higher than those from 2012 to 2016 respectively; male and female lung cancer mortality risks born in 1927—1931 were 73.42 times and 38.49 times higher than those born in 1992—1996 respectively.

Conclusion

Lung cancer mortality in Sichuan Province fluctuates from 2007 to 2021, and male mortality is higher. There were differences in lung cancer mortality risk by age, period, and birth cohort.

Lung cancer  /  Mortality trend  /  Age-period-cohort model  /  Sichuan
Feng HU, Yuan MA, Hong KANG. Death trends and age-period-cohort model analyses of lung cancer, Sichuan, 2007-2021[J]. Modern Preventive Medicine, 2024 , 51 (8) : 1370 -1376 . DOI: 10.20043/j.cnki.MPM.202401393
Year 2024 volume 51 Issue 8
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Article Info
doi: 10.20043/j.cnki.MPM.202401393
  • Receive Date:2023-01-24
  • Online Date:2026-03-16
  • Published:2024-04-25
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  • Received:2023-01-24
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    Key Laboratory of Birth Defects and Related Women and Children’s Diseases, Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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