Association between regional economic development and cancer incidence and mortality in China

CAO Wei; LI Feng; LIANG Yu-qing; YU Da

doi:10.16462/j.cnki.zhjbkz.2023.02.014

Volume 27 Issue 2

Feb. 2023

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CAO Wei, LI Feng, LIANG Yu-qing, YU Da. Association between regional economic development and cancer incidence and mortality in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(2): 209-215. doi: 10.16462/j.cnki.zhjbkz.2023.02.014

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CAO Wei, LI Feng, LIANG Yu-qing, YU Da. Association between regional economic development and cancer incidence and mortality in China[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(2): 209-215. doi: 10.16462/j.cnki.zhjbkz.2023.02.014

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Association between regional economic development and cancer incidence and mortality in China

doi: 10.16462/j.cnki.zhjbkz.2023.02.014

CAO Wei¹,
LI Feng²,
LIANG Yu-qing¹,
YU Da^{1
,
,}

1.
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
2.
The Third People's Hospital of Xiaoshan Hangzhou, Hangzhou 311251, China

CAO Wei and LI Feng contributed equally to this article

Funds:

Administrative Research Fund, Cancer Hospital, Chinese Academy of Medical Sciences LC2021D13

National Key Research and Development Program of China 2016YFC1302502

More Information

Corresponding author: YU Da, E-mail: yuda@cicams.ac.cn
Received Date: 2021-06-16
Rev Recd Date: 2022-10-22

Available Online: 2023-02-20

Publish Date: 2023-02-10

Abstract

Abstract

Objective To examine the association between gross domestic product (GDP) per capita and the cancer burden across different regions. Methods We used data from the 2018 China Cancer Registry Annual Report and 2016 China Statistical Yearbook. A stratified random sampling method was conducted and a total of 55 regions were included. Linear correlation, restricted cubic splines (RCS), and multiple linear regressions were performed to fit the associations between regional GDP per capita and cancer incidence (mortality) rates. Subgroup analyses were conducted for the three most common cancers in males (lung, stomach, and liver cancers) and females (breast, lung, and colorectal cancers), separately. Results Regional GDP per capita was positively correlated with the age-standardized incidence and mortality rates (ASIR: r=0.61, ASMR: r=0.49; P < 0.001) of all-site cancers. RCS fitting showed that in regions with a higher GDP per capita, the rising trends of cancer incidence and mortality slowed down. Multivariable regression models found that in regions with a higher GDP per capita, ASIR (β=12.08/10⁵, 95% CI: 7.57-16.59/10⁵) and ASMR (β=5.56/10⁵, 95% CI: 2.70-8.42/10⁵) of all-site cancers were higher; Among males, the ASIR (β=3.63/10⁵, 95% CI: 1.87-5.40/10⁵) and ASMR (β=3.47/10⁵, 95% CI: 2.00-4.93/10⁵) of lung cancer increased, while the ASIR of liver cancer decreased (β=-1.47/10⁵, 95% CI: -2.78--0.16/10⁵); Among females, the ASIR and ASMR of breast cancer, lung cancer, and colorectal cancer were significantly higher. Conclusions Economic development is one of the significant factors related to the heavy cancer burden in China. The formulation and implementation of targeted cancer prevention and control strategies could refer to each region's economic development and cancer profile.
- GDP per capita,
- Cancer incidence,
- Mortality,
- Association

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References(19)

References

[1]	Zhang SW, Sun KX, Zheng RS, et al. Cancer incidence and mortality in China, 2015[J]. Journal of the National Cancer Center, 2021, 1(1): 2-11. DOI: 10.1016/j.jncc.2020.12.001.
[2]	Vercelli M, Lillini R, Capocaccia R, et al. Cancer survival in the elderly: effects of socio-economic factors and health care system features (ELDCARE project)[J]. Eur J Cancer, 2006, 42(2): 234-242. DOI: 10.1016/j.ejca.2005.07.032.
[3]	Quaglia A, Vercelli M, Lillini R, et al. Socio-economic factors and health care system characteristics related to cancer survival in the elderly. A population-based analysis in 16 European countries (ELDCARE project)[J]. Crit Rev Oncol Hematol, 2005, 54(2): 117-128. DOI: 10.1016/j.critrevonc.2004.12.001.
[4]	Kuhn Y, Koscielny A, Glowka T, et al. Postresection survival outcomes of pancreatic cancer according to demographic factors and socio-economic status[J]. Eur J Surg Oncol, 2010, 36(5): 496-500. DOI: 10.1016/j.ejso.2009.08.006.
[5]	国家统计局. 2016年中国统计年鉴[M]. 中国统计出版社, 2016: 121-138. National Bureau of Statistics. China Statistical Yearbook 2016[M]. China Statistics Press, 2016: 121-138.
[6]	赫捷. 2018中国肿瘤登记年报[M]. 人民卫生出版社, 2019: 250-358. He J. 2018 China Cancer Registry Annual Report[M]. People's Medical Publishing House, 2019: 250-358.
[7]	Yang ZX, Zheng RS, Zhang SW, et al. Comparison of cancer incidence and mortality in three GDP per capita levels in China, 2013[J]. Chin J Cancer Res, 2017, 29(5): 385-394. DOI: 10.21147/j.issn.1000-9604.2017.05.02.
[8]	Luzzati T, Parenti A, Rughi T. Economic growth and cancer incidence[J]. Ecological Economics, 2018, 146: 381-396. DOI: 10.1016/j.ecolecon.2017.11.031.
[9]	Bray F, Ferlay J, Soerjomataram I, et al. Erratum: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries[J]. CA Cancer J Clin, 2020, 70(4): 313. DOI: 10.3322/caac.21609.
[10]	Cao W, Chen HD, Yu YW, et al. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020[J]. Chin Med J (Engl), 2021, 134(7): 783-791. DOI: 10.1097/CM9.0000000000001474.
[11]	杜鹏, 王武林. 论人口老龄化程度城乡差异的转变[J]. 人口研究, 2010, 34(2): 3-10. https://www.cnki.com.cn/Article/CJFDTOTAL-RKYZ201002004.htm Du P, Wang W. The difference of urban and rural ageing and its transition[J]. Population Research, 2010, 34(2): 3-10. https://www.cnki.com.cn/Article/CJFDTOTAL-RKYZ201002004.htm
[12]	Chen W, Zheng R, Zhang S, et al. Cancer incidence and mortality in China in 2013: an analysis based on urbanization level[J]. Chin J Cancer Res, 2017, 29(1): 1-10. DOI: 10.21147/j.issn.1000-9604.2017.01.01.
[13]	李媛秋, 刘剑君, 么鸿雁. 肺癌发病和死亡流行情况与人类发展指数的关系分析[J]. 中国肿瘤, 2019, 28(9): 646-650. DOI: 10.11735/j.issn.1004-0242.2019.09.A002. Li YQ, Liu JJ, Yao HY. Relationship of lung cancer incidence and mortality with national levels of human development index[J]. China Cancer, 2019, 28(9): 646-650. DOI: 10.11735/j.issn.1004-0242.2019.09.A002.
[14]	Fidler MM, Soerjomataram I, Bray F. A global view on cancer incidence and national levels of the human development index[J]. Int J Cancer. 2016, 139(11): 2436-2446. DOI: 10.1002/ijc.30382.
[15]	Maule M, Merletti F. Cancer transition and priorities for cancer control[J]. Lancet Oncol, 2012, 13(8): 745-746. DOI: 10.1016/S1470-2045(12)70268-1.
[16]	Sawicki T, Ruszkowska M, Danielewicz A, et al. A review of colorectal cancer in terms of epidemiology, risk factors, development, symptoms and diagnosis[J]. Cancers (Basel), 2021, 13(9): 2025. DOI: 10.3390/cancers13092025.
[17]	Bellanger M, Zeinomar N, Tehranifar P, et al. Are global breast cancer incidence and mortality patterns related to country-specific economic development and prevention strategies?[J]. J Glob Oncol, 2018, 4: 1-16. DOI: 10.1200/JGO.17.00207.
[18]	联合国儿童基金会. 中国儿童发展指标图集2018—国家免疫规划[EB/OL]. (2018-01-01)[2022-10-21]. https://www.unicef.cn/chapter-4-national-immunization-programme. UNICEF. Children in China: An Atlas of Social Indicators 2018-National Immunization Programme[EB/OL]. (2018-01-01)[2022-10-21]. https://www.unicef.cn/chapter-4-national-immunization-programme.
[19]	Islami F, Chen W, Yu XQ, et al. Cancer deaths and cases attributable to lifestyle factors and infections in China, 2013[J]. Ann Oncol, 2017, 28(10): 2567-2574. DOI: 10.1093/annonc/mdx342.