style='font-family:Verdana;'> Urbanization, obesity and ageing associated with lifestyle changes (Westernized diet patterns, pollution, physical inactivity) have bee'/> Decreasing Birth Rate Determining Worldwide Incidence and Regional Variation of Female Breast Cancer
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Decreasing Birth Rate Determining Worldwide Incidence and Regional Variation of Female Breast Cancer

机译:降低出生率决定女性乳腺癌的全球发病率和区域差异

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>Purpos>e: style="font-family:""> style="font-family:Verdana;"> Urbanization, obesity and ageing associated with lifestyle changes (Westernized diet patterns, pollution, physical inactivity) have been proposed as the major contributing factors for the global rise in breast cancer (BCa) and have been the variables used to predict the future breast cancer rate. At the same time, socio-economic level, instead of birth rate, has been proposed for explanation of dramatic regional variations of breast cancer incidence. We sought to determine which factor plays the determining role in predicting worldwide breast cancer incidence rates and regional variations. style="font-family:Verdana;">Methods: style="font-family:Verdana;"> Bivariate correlation was conducted to examine the relationships between country-specific estimates of birth rate, BCa incidence, urbanization, overweight, ageing and GDP. Partial correlation was performed to identify the correlation between BCa incidence with each independent variable while we controlled the other four variables. Multiple linear regression was used to identify the most significant predictors of BCa incidence. Post hoc Scheff and independent T-Test analysis were performed to compare mean differences in BCa incidence rates and residuals of BCa style="font-family:""> style="font-family:""> style="font-family:Verdana;">standardised on birth rate in the WHO regions, and UN developed and developing regions respectively. style="font-family:Verdana;">Results: style="font-family:Verdana;"> Worldwide, BCa incidence rate tends to increase while birth rate decreases and urbanization, overweight, ageing and GDP increase. However, birth rate was the only variable that had a significant correlation with BCa incidence when controlled for the other four variables. > style="font-family:Verdana;">Birth rate was the only significant predictor of BCa incidence in regression analysis. Multiple mean differences of BCa incidence between regions were significant, but all disappeared when the contributing effect of birth rate on BCa incidence rate was removed. style="font-family:Verdana;">Conclusions: style="font-family:Verdana;"> Birth rate plays a determining role in worldwide BCa incidence rate and regional variations. Current BCa projection methods may estimate future rates of BCa poorly if they fail to incorporate the impact of birth rate style="font-family:Verdana;">.
机译:>目的 > e: style =“ font-family:”“> style =” font-family:Verdana;“>与生活方式相关的城市化,肥胖和衰老人们已经提出改变(西方饮食结构,污染,缺乏体育锻炼)是导致全球乳腺癌(BCa)上升的主要因素,并且已成为预测未来乳腺癌发生率的变量。已提出经济水平而不是出生率来解释乳腺癌发病率的显着区域差异,我们试图确定哪个因素在预测全球乳腺癌发病率和地区差异中起决定性作用。 style =“ font-family:Verdana;”>方法: style =“ font-family:Verdana;”>进行了双变量相关,以检验特定国家/地区的估算值之间的关系。出生率,BCa发病率,城市化,超重,老龄化和GDP,部分相关性为p用来确定BCa发生率与每个独立变量之间的相关性,同时我们控制了其他四个变量。多元线性回归用于确定BCa发生率的最重要预测因子。进行事后Scheff和独立T检验分析,比较BCa发生率和BCa残留量的平均差异 style =“ font-family:”“> style分别根据世界卫生组织(WHO)地区和联合国发达及发展中地区的出生率进行标准化。=“ font-family:”“> style =” font-family:Verdana;“> style =“ font-family:Verdana;”>结果: style =“ font-family:Verdana;”>在世界范围内,BCa发生率趋向于人口出生率下降,城市化,超重,老龄化和GDP上升。但是,当控制其他四个变量时,出生率是唯一与BCa发生率显着相关的变量。 > style =“ font-family:Verdana;”>出生率是回归分析中BCa发生率的唯一重要预测指标。区域之间BCa发生率的多重平均差异是显着的,但是当消除出生率对BCa发生率的影响时,所有这些均值消失。 style =“ font-family:Verdana;”>结论: style =“ font-family:Verdana;”>出生率在全球BCa发生率和区域差异。如果当前的BCa预测方法无法将出生率的影响纳入考虑范围,则可能无法很好地估计BCA的未来发生率。 style =“ font-family:Verdana;”>。

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