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Discovering unhealthiness: Evidence from cluster analysis

机译:发现不健康:聚类分析的证据

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Purpose: This study examines information on an array of health limitations, chronic conditions, treatments, and drug consumptions to reveal the prevalence and severity of unhealthiness that are not directly observed. Methods: Cluster analysis is applied to 265,468 individuals who participated in the 45 and Up Study in Australia. Results: Among the study participants, 8% of those age 45-54 years, 10% of those age 55-64, 13% of those age 65-74, and 17% of those age 75 and older were classified as unhealthy. For the youngest individuals, unhealthiness is characterized by moderate-to-high mental distress, a poor physical health score equivalent to the score associated with having four major limitations in physical functioning, teeth health less than good, and having been diagnosed with at least two chronic conditions. The oldest individuals also suffer from these limitations, as well as dependence on at least three different drug groups and two medical treatments, but they are in better mental health state. Conclusions: Understanding unhealthiness across population groups will result in more effective allocation of health resources. Older populations require more resources to be devoted to the management of physical health and chronic illnesses.
机译:目的:本研究检查有关一系列健康限制,慢性病,治疗和药物消耗的信息,以揭示未直接观察到的不健康状况和严重程度。方法:对参与澳大利亚45岁及以上研究的265,468个人进行了聚类分析。结果:在研究参与者中,年龄在45-54岁的人群中的8%,年龄在55-64岁的人群中的10%,年龄在65-74岁的人群中的13%和75岁以上的人群中的17%被归类为不健康。对于最年轻的人,不健康的特征是中度至高度的精神困扰,身体健康状况不佳相当于身体功能受到四个主要限制,牙齿健康不佳且被诊断出至少两个相关的分数。慢性病。最年长的人也遭受这些限制,并至少依赖三种不同的药物组和两种药物治疗,但他们的心理健康状况更好。结论:了解不同人群之间的不健康状况将导致更有效地分配卫生资源。老年人口需要更多的资源用于身体健康和慢性疾病的管理。

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