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首页> 外文期刊>Preventive Medicine: An International Journal Devoted to Practice and Theory >The impact of key modifiable risk factors on leading chronic conditions
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The impact of key modifiable risk factors on leading chronic conditions

机译:关键可修改危险因素对慢性病的影响

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We studied associations between 7 cardiovascular disease (CVD) risk factors (RFs) and 9 chronic conditions and estimated population-attributable risk. Data (N = 358,218) were from the 2017 Behavioral Risk Factor Surveillance System. Outcomes included asthma, arthritis, chronic obstructive pulmonary disease (COPD), cognitive impairment, CVD, and kidney disease. Risk factors (RF) were obesity, ever smoking, sedentary lifestyle, and inadequate fruit and vegetable consumption, while hypertension, high cholesterol, and diabetes were considered in both categories. Stata was used to study associations in both unadjusted and adjusted analysis. Population-attributable risk was estimated in Excel using adjusted odds ratios (AORs) and compared results using all RFs versus only those where causality was confirmed by other studies. RF prevalence rates ranged from 10.8% (95% CI 10.6, 11.0) for diabetes to 84.1% (83.8, 84.3) for inadequate fruit and vegetable consumption. Almost all adults (95.2%) reported = 1 RF. Highest total PARs for RFs with confirmed causality were for obesity and ever smoking, and for hypertension when all RFs were considered. Total PARs for the 9 outcomes averaged 37.2-41.5% when results were limited to RFs with confirmed causality. Although the number of risk factors for which causality had been confirmed ranged from 1 to 6, all 9 outcomes showed linear dose response gradients with added risk factors. While all 7 RFs appeared important to address, targeting smoking and obesity with programs that have shown previous success offers the greatest potential for reducing burden for these 9 chronic diseases.
机译:我们研究了7个心血管疾病(CVD)风险因素(RFS)和9条慢性病的关联,估计人口可归因的风险。数据(n = 358,218)来自2017年行为风险因素监测系统。结果包括哮喘,关节炎,慢性阻塞性肺病(COPD),认知障碍,CVD和肾病。危险因素(RF)是肥胖,植物,久坐的生活方式,果实和蔬菜消费不足,而高血压,高胆固醇和糖尿病在这两类中都考虑。 STATA用于研究不调整和调整后分析的关联。在Excel中使用调整后的差距(AOR)估计人口可归因的风险并使用所有RFS与其他研究证实因果关系的结果进行比较。 RF流行率为10.8%(95%CI 10.6,11.0),糖尿病为84.1%(83.8,84.3),用于水果和蔬菜消耗不足。几乎所有成年人(95.2%)报告& = 1 rf。患有确诊因果关系的RF的最高总数为肥胖和肥胖,并且在考虑所有RF时的高血压。当结果限于具有确认因果关系的结果时,9个结果的总分配37.2-41.5%。虽然已确认因果关系的危险因素的数量从1比6中,所有9种结果都显示出线性剂量反应梯度,增加了危险因素。虽然所有7个射频对于解决这一9次成功的计划来说,瞄准吸烟和肥胖,而是为这9个慢性疾病减少负担的最大潜力提供了最大的潜力。

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