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. 2016 Aug 30;7(35):56608-56618.
doi: 10.18632/oncotarget.10968.

Urban-rural disparity of overweight/obesity distribution and its potential trend with breast cancer among Chinese women

Ying Gao  1   2 , Yubei Huang  3 , Fengju Song  3 , Hongji Dai  3 , Peishan Wang  3 , Haixin Li  3 , Hong Zheng  3 , Henglei Dong  3 , Jiali Han  4 , Yaogang Wang  1 , Kexin Chen  3
Affiliations

Urban-rural disparity of overweight/obesity distribution and its potential trend with breast cancer among Chinese women

Ying Gao et al. Oncotarget. .

Abstract

Objective: To evaluate the urban-rural disparity of overweight/obesity and explore its potential trend with breast cancer among Chinese women.

Results: The prevalence of overweight/obesity for Chinese rural women (35.2%, 29.2% for overweight and 6.0% for obesity) was significantly higher than that for Chinese urban women (33.4%, 27.7% for overweight and 5.7% for obesity) (P < 0.001). For either rural or urban women, the prevalence of overweight/obesity was highest in north region, followed by east region for rural women and north-east region for urban women. For rural women, higher prevalence of overweight/obesity was significantly positively associated with elder age, Han nationality, low level of education, no occupation, high family income, less number of family residents, insurance, and elder age at marriage. Similar positive associations were also found for urban women, except negative associations for high family income, less number of family residents, and elder age at marriage. A non-significant positive trend between overweight/obesity and breast cancer was found for rural women [odds ratio (OR): 1.06; 95% confidence interval (CI): 0.87-1.29], but a significant positive trend for urban women (OR: 1.55; 95% CI: 1.19-2.02).

Materials and methods: A total of 1 210 762 participants were recruited from the Chinese National Breast Cancer Screening Program. Overweight and obesity were defined as body mass index (BMI) ranged 24.0-27.9 kg/m2 and BMI ≥ 28.0kg/m2, respectively.

Conclusions: There was an obvious urban-rural disparity of overweight/obesity distribution among Chinese women, which could also lead to an obvious disparity of breast cancer distribution.

Keywords: breast cancer; disparity; obesity; overweight.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1. The women prevalence of overweight/obesity from Chinese National Nutrition Survey 1992 (CNNS 1992), Chinese National Nutritional and Health Survey 2002 (CNNHS 2002), and Chinese National Breast Cancer Screening Program 2008 (CNBCSP 2008)
Figure 2
Figure 2. Regional prevalence of overweight/obesity among Chinese urban and rural women
Note: North included Beijing, Tianjin, Hebei, Inner Mongolia, Shanxi. North-East included Liaoning, Heilongjiang, Jilin. East included Shandong, Anhui, Jiangsu, Zhejiang, Shanghai, Fujian. Center included Jiangxi, Henan, Hubei, Hunan. South included Guangxi, Hainan. North-West included Gansu, Ningxia, Qinghai, Shaanxi, Xinjiang. South-West included Guizhou, Sichuan, Chongqing, Yunnan.
Figure 3
Figure 3. The provincial prevalence of overweight/obesity and the corresponding detection rate of breast cancer (1/105) among Chinese urban (A) and rural (B) women
Note: The size of green bubbles corresponded with the size of provincial detection rate of breast cancer.
See this image and copyright information in PMC

References

    1. Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371:569–578. - PubMed
    1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, Mullany EC, Biryukov S, Abbafati C, Abera SF, Abraham JP, Abu-Rmeileh NM, Achoki T, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2014;384:766–781. - PMC - PubMed
    1. Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, Brauer M, Burnett R, Casey D, Coates MM, Cohen A, Delwiche K, Estep K, Frostad JJ, et al. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386:2287–2323. - PMC - PubMed
    1. Arnold M, Pandeya N, Byrnes G, Renehan AG, Stevens GA, Ezzati M, Ferlay J, Miranda JJ, Romieu I, Dikshit R, Forman D, Soerjomataram I. Global burden of cancer attributable to high body-mass index in 2012: a population-based study. Lancet Oncol. 2015;16:36–46. - PMC - PubMed
    1. Zheng W, McLerran DF, Rolland B, Zhang X, Inoue M, Matsuo K, He J, Gupta PC, Ramadas K, Tsugane S, Irie F, Tamakoshi A, Gao YT, et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med. 2011;364:719–729. - PMC - PubMed

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