西北阿德莱德健康研究:选定慢性疾病队列的详细方法和基线分割。

Janet F Grant, Catherine R Chittleborough, Anne W Taylor, Eleonora Dal Grande, David H Wilson, Patrick J Phillips, Robert J Adams, Julianne Cheek, Kay Price, Tiffany Gill, Richard E Ruffin
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引用次数: 149

摘要

西北阿德莱德健康研究是一项基于人群的生物医学队列研究,调查了一系列慢性疾病和健康相关风险因素的流行情况。这种方法可以为卫生政策制定者和规划人员提供基于证据的决策,并为参与慢性病预防和管理的卫生专业人员提供信息,因为它可以更好地描述有可能患上或已经被诊断患有某些慢性病的人群,从而更准确地确定目标群体,以获得健康和改善健康结果。纵向数据将提供关于慢性疾病进展的信息,并允许描述那些沿着连续体向前和向后移动的人。提供了关于随机招募和检查参与者的代表性样本(n = 4060)的详细方法,包括各种过程的基本原理和吸取的宝贵经验教训。获得关于危险因素(吸烟、饮酒、体育活动、家族史、体重指数、血压、胆固醇)和慢性疾病(哮喘、慢性阻塞性肺病、糖尿病)的自我报告和生物医学数据,根据参与者在连续体中的状态对其进行分类。对这一人群样本进行连续分割显示,71.5%的人至少有一种患哮喘、慢性阻塞性肺病或糖尿病的危险因素。近五分之一(18.8%)的人以前被诊断出至少有一种这些慢性疾病,另外3.9%的人至少有一种这些疾病,但没有被诊断出来。这篇论文提供了一个新的机会来检验队列研究是如何诞生的。它详细介绍了一个队列的选择、招募和检查的方法,以及如何将患有选定慢性病的参与者按照可能有助于促进健康和保健服务规划的连续体进行细分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases.

The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases.

The North West Adelaide Health Study: detailed methods and baseline segmentation of a cohort for selected chronic diseases.

The North West Adelaide Health Study is a population-based biomedical cohort study investigating the prevalence of a number of chronic conditions and health-related risk factors along a continuum. This methodology may assist with evidence-based decisions for health policy makers and planners, and inform health professionals who are involved in chronic disease prevention and management, by providing a better description of people at risk of developing or already diagnosed with selected chronic conditions for more accurate targeting groups for health gain and improved health outcomes. Longitudinal data will provide information on progression of chronic conditions and allow description of those who move forward and back along the continuum over time. Detailed methods are provided regarding the random recruitment and examination of a representative sample of participants (n = 4060), including the rationale for various processes and valuable lessons learnt. Self-reported and biomedical data were obtained on risk factors (smoking, alcohol consumption, physical activity, family history, body mass index, blood pressure, cholesterol) and chronic conditions (asthma, chronic obstructive pulmonary disease, diabetes) to classify participants according to their status along a continuum. Segmenting this population sample along a continuum showed that 71.5% had at least one risk factor for developing asthma, chronic obstructive pulmonary disease or diabetes. Almost one-fifth (18.8%) had been previously diagnosed with at least one of these chronic conditions, and an additional 3.9% had at least one of these conditions but had not been diagnosed. This paper provides a novel opportunity to examine how a cohort study was born. It presents detailed methodology behind the selection, recruitment and examination of a cohort and how participants with selected chronic conditions can be segmented along a continuum that may assist with health promotion and health services planning.

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