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孟加拉国女性的高血压、高血脂、肥胖症和人口统计学风险因素与乳腺癌的关联。

Association of hypertension, hyperlipidemia, obesity, and demographic risk factors with breast cancer in Bangladeshi women.

机构信息

Department of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.

Department of Genetic Engineering & Biotechnology, University of Rajshahi, Rajshahi, Bangladesh.

出版信息

Medicine (Baltimore). 2022 Nov 18;101(46):e31698. doi: 10.1097/MD.0000000000031698.

DOI:10.1097/MD.0000000000031698
PMID:36409880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9678571/
Abstract

In recent years, breast cancer incidences and related deaths have been rising among Bangladeshi women and will be a major threat by 2040. So, conducting more population-based studies is crucial. This case-control study was designed to quantitatively evaluate potential risk factors for breast cancer. In this population-based case-control study, 52 random breast cancer cases and 59 matched healthy controls, aged between 25 and 70 years, were included. The breast cancer patient samples were collected from the National Institute of Cancer Research and Hospital (NICRH), Dhaka, Bangladesh, from December 2021 to February 2022. The study was conducted fully following the Declaration of Helsinki guidelines. The collected socio-demographic data and blood samples of the study participants were analyzed. Chi-square analysis was used to compare study characteristics between cases and controls, Odds ratios (ORs) with 95% confidence intervals (CIs) were derived by univariate-logistic regression, and models were adjusted where necessary for study characteristics. Summary demographic characteristics of the 111 study participants suggested that higher age: (≥45): [OR 4.38, 95% CI (1.94-9.89), P value <.001], height: (<1.5 m): [OR 3.01, 95% CI (1.12-8.12), P value .029], low-incomes: [OR 6.83, 95% CI (2.11-22.05), P value .001], and illiteracy: [OR 12.65, 95% CI (3.49-45.79), P value .0001] showed significant correlations with breast cancer. The patient's body mass index (BMI) (≥30) indicated an association with breast cancer: [OR 3.91, 95% CI (1.00-15.31), P value .05]. The lipid profile: [triglycerides (TG): OR = 3.20, 95% CI (1.36-7.53), P value .008; TG/high-density lipid (HDL): OR = 8.82, 95% CI (2.81-27.68), P value <.001; and a lowered HDL: OR = 3.32, 95% CI (1.38-7.98), P value .007], hypertension: [systolic: OR 4.32, 95% CI (1.71-10.93), P value .002; and diastolic: OR 7.32, 95% CI (2.51-21.34), P value <.001], and gastric issues: [OR 6.07, 95% CI (2.00-18.37), P value .001], all showed significant association with breast cancer. The ER- breast cancer subtype was significantly associated with the overweight (OW) group (P value .046) whereas the PR-patients were significantly higher in the normal BMI group (P value .013). Results from this study might aid in the prevention, management, and raising of awareness against the specific risk factors among Bangladeshi women in near future.

摘要

近年来,孟加拉国女性的乳腺癌发病率和相关死亡率呈上升趋势,到 2040 年,这将成为一个主要威胁。因此,进行更多的基于人群的研究至关重要。本病例对照研究旨在定量评估乳腺癌的潜在危险因素。在这项基于人群的病例对照研究中,纳入了 52 名随机乳腺癌病例和 59 名匹配的健康对照,年龄在 25 至 70 岁之间。乳腺癌患者样本来自孟加拉国达卡的国家癌症研究所和医院(NICRH),于 2021 年 12 月至 2022 年 2 月采集。研究完全遵循《赫尔辛基宣言》的指导原则进行。分析了研究参与者的社会人口统计学数据和血液样本。使用卡方分析比较病例和对照组的研究特征,通过单变量逻辑回归得出比值比(OR)及其 95%置信区间(CI),并根据需要对模型进行调整以适应研究特征。111 名研究参与者的综合人口统计学特征表明,较高的年龄(≥45 岁):[OR 4.38,95%CI(1.94-9.89),P 值<.001]、身高(<1.5 米):[OR 3.01,95%CI(1.12-8.12),P 值.029]、低收入:[OR 6.83,95%CI(2.11-22.05),P 值<.001]和文盲:[OR 12.65,95%CI(3.49-45.79),P 值<.0001]与乳腺癌显著相关。患者的身体质量指数(BMI)(≥30)与乳腺癌有关:[OR 3.91,95%CI(1.00-15.31),P 值.05]。血脂谱:[甘油三酯(TG):OR=3.20,95%CI(1.36-7.53),P 值.008;TG/高密度脂蛋白(HDL):OR=8.82,95%CI(2.81-27.68),P 值<.001;以及低 HDL:OR=3.32,95%CI(1.38-7.98),P 值.007]、高血压:[收缩压:OR 4.32,95%CI(1.71-10.93),P 值<.002;舒张压:OR 7.32,95%CI(2.51-21.34),P 值<.001]和胃部问题:[OR 6.07,95%CI(2.00-18.37),P 值<.001]与乳腺癌均呈显著相关性。ER-乳腺癌亚型与超重(OW)组显著相关(P 值<.046),而 PR-患者在正常 BMI 组中显著更高(P 值<.013)。本研究的结果可能有助于孟加拉国女性在不久的将来预防、管理和提高对特定危险因素的认识。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17c/9678571/b9240c108b5d/medi-101-e31698-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17c/9678571/96ce7df65617/medi-101-e31698-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17c/9678571/b9240c108b5d/medi-101-e31698-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17c/9678571/96ce7df65617/medi-101-e31698-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e17c/9678571/b9240c108b5d/medi-101-e31698-g002.jpg

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