adjusted mortality rate

简明释义

调整后的死亡率

英英释义

例句

1.The hospital reported a decrease in the adjusted mortality rate 调整后的死亡率 after implementing new treatment protocols.

医院报告称，在实施新的治疗方案后，调整后的死亡率 adjusted mortality rate有所下降。

2.Public health officials are using the adjusted mortality rate 调整后的死亡率 to better understand the impact of smoking on overall health.

公共卫生官员正在使用调整后的死亡率 adjusted mortality rate来更好地了解吸烟对整体健康的影响。

3.By analyzing the adjusted mortality rate 调整后的死亡率, the researchers were able to identify at-risk populations.

通过分析调整后的死亡率 adjusted mortality rate，研究人员能够识别出高风险人群。

4.In order to compare different regions, researchers calculated the adjusted mortality rate 调整后的死亡率 for various causes of death.

为了比较不同地区，研究人员计算了各种死亡原因的调整后的死亡率 adjusted mortality rate。

5.The study found that the adjusted mortality rate 调整后的死亡率 for heart disease was significantly lower in patients who exercised regularly.

研究发现，定期锻炼的心脏病患者的调整后的死亡率 adjusted mortality rate显著较低。

作文

The concept of the adjusted mortality rate is crucial in public health and epidemiology. It allows researchers and policymakers to compare mortality rates across different populations while accounting for various factors that may influence these rates. For instance, age is a significant factor that affects mortality; older populations tend to have higher mortality rates than younger ones. By using an adjusted mortality rate, we can normalize these figures, making it easier to understand the underlying health trends within a population.One of the primary reasons for adjusting mortality rates is to provide a more accurate reflection of health outcomes. When comparing two regions, one might have a significantly older population than the other. If we were to look solely at the crude mortality rates, we might conclude that the older population is less healthy. However, by applying an adjusted mortality rate, we can account for age differences, leading to a more equitable comparison.Moreover, the adjusted mortality rate can also consider other demographic factors such as sex, socioeconomic status, and ethnicity. These factors can significantly influence health outcomes and mortality rates. For example, certain ethnic groups may have higher incidences of specific diseases, which could skew mortality statistics if not adjusted for. By utilizing the adjusted mortality rate, health officials can identify at-risk populations more effectively and allocate resources accordingly.In practice, calculating the adjusted mortality rate often involves statistical methods such as direct or indirect standardization. Direct standardization uses a standard population to calculate expected deaths based on the age-specific mortality rates of the study population. In contrast, indirect standardization compares observed deaths in a study population against expected deaths derived from a standard population. Both methods aim to eliminate bias caused by differing population structures.The importance of the adjusted mortality rate extends beyond academic research; it plays a vital role in public health interventions. For instance, during a health crisis like a pandemic, understanding the adjusted mortality rate can help authorities gauge the severity of the situation and implement appropriate measures. If one region shows a significantly higher adjusted mortality rate compared to another, public health officials can investigate further to determine the causes and address them promptly.In conclusion, the adjusted mortality rate serves as a valuable tool in the realm of public health. It provides a more nuanced view of mortality data, allowing for better comparisons and informed decision-making. By taking into account various demographic factors, the adjusted mortality rate enables health professionals to identify disparities and target interventions effectively. As we continue to face public health challenges, understanding and utilizing the adjusted mortality rate will be essential for improving health outcomes across diverse populations.

调整死亡率的概念在公共卫生和流行病学中至关重要。它允许研究人员和政策制定者在考虑可能影响这些比率的各种因素的情况下比较不同人群的死亡率。例如，年龄是影响死亡率的重要因素；老年人群体的死亡率往往高于年轻人。通过使用调整死亡率，我们可以规范这些数据，从而更容易理解一个人群内的健康趋势。调整死亡率的主要原因之一是提供对健康结果的更准确反映。当比较两个地区时，一个地区的人口可能明显较老，而另一个地区则较年轻。如果我们仅仅看粗略死亡率，我们可能会得出老年人口健康状况较差的结论。然而，通过应用调整死亡率，我们可以考虑年龄差异，从而进行更公平的比较。此外，调整死亡率还可以考虑其他人口因素，如性别、社会经济地位和种族。这些因素可能会显著影响健康结果和死亡率。例如，某些族群可能有特定疾病的更高发生率，如果不进行调整，可能会扭曲死亡统计数据。通过利用调整死亡率，卫生官员可以更有效地识别高风险人群并相应分配资源。在实践中，计算调整死亡率通常涉及直接或间接标准化等统计方法。直接标准化使用一个标准人群来根据研究人群的年龄特定死亡率计算预期死亡人数。相比之下，间接标准化将观察到的死亡人数与来自标准人群的预期死亡人数进行比较。这两种方法旨在消除由于人口结构差异造成的偏差。调整死亡率的重要性超越了学术研究；它在公共卫生干预中发挥着至关重要的作用。例如，在诸如大流行病这样的健康危机期间，了解调整死亡率可以帮助当局评估情况的严重性并实施适当的措施。如果一个地区的调整死亡率明显高于另一个地区，公共卫生官员可以进一步调查以确定原因并及时解决。总之，调整死亡率在公共卫生领域是一个有价值的工具。它提供了死亡数据的更细致的视角，使比较和信息决策变得更加明智。通过考虑各种人口因素，调整死亡率使卫生专业人员能够识别差异并有效地针对干预措施。在我们继续面临公共卫生挑战的过程中，理解和利用调整死亡率对改善不同人群的健康结果至关重要。