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嚼槟榔者中女性乳腺癌风险评估:印度阿萨姆邦的生物统计学评估

Evaluation of Female Breast Cancer Risk Among the Betel Quid Chewer: A Bio-Statistical Assessment in Assam, India.

作者信息

Rajbongshi Nijara, Mahanta Lipi B, Nath Dilip C

机构信息

Central Computational and Numerical Studies, Institute of Advanced Study in Science and Technology , Paschim Boragaon, Guwahati-781035, Assam, India.

Department of Statistics, Gauhati University , Assam.

出版信息

Nepal J Epidemiol. 2015 Jun 1;5(2):494-8. doi: 10.3126/nje.v5i2.12832. eCollection 2015 Jun.

Abstract

BACKGROUND

Breast cancer is the most commonly diagnosed cancer among the female population of Assam, India. Chewing of betel quid with or without tobacco is common practice among female population of this region. Moreoverthe method of preparing the betel quid is different from other parts of the country.So matched case control study is conducted to analyse whetherbetel quid chewing plays a significant role in the high incidence of breast cancer occurrences in Assam.

METHODS AND MATERIAL

Here, controls are matched to the cases by age at diagnosis (±5 years), family income and place of residence with matching ratio 1:1. Conditional logistic regression models and odd ratios (OR) was used to draw conclusions.

RESULTS

It is observed that cases are more habituated to chewing habits than the controls.Further the conditional logistic regression analysis reveals that betel quid chewer faces 2.353 times more risk having breast cancer than the non-chewer with p value 0.0003 (95% CI 1.334-4.150).

CONCLUSION

Though the female population in Assam usually does not smoke, the addictive habits typical to this region have equal effect on the occurrence of breast cancer.

摘要

背景

乳腺癌是印度阿萨姆邦女性群体中最常被诊断出的癌症。在该地区的女性群体中,咀嚼槟榔(无论是否含烟草)是常见的行为。此外,槟榔的制备方法与该国其他地区不同。因此,开展了一项匹配病例对照研究,以分析咀嚼槟榔在阿萨姆邦乳腺癌高发病率中是否起重要作用。

方法与材料

在此,对照与病例按诊断时年龄(±5岁)、家庭收入和居住地点进行匹配,匹配比例为1:1。使用条件逻辑回归模型和比值比(OR)得出结论。

结果

观察到病例比对照更习惯于咀嚼习惯。此外,条件逻辑回归分析显示,咀嚼槟榔者患乳腺癌的风险是非咀嚼者的2.353倍,p值为0.0003(95%可信区间1.334 - 4.150)。

结论

尽管阿萨姆邦的女性群体通常不吸烟,但该地区特有的成瘾习惯对乳腺癌的发生有同等影响。

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