Self-rated health status as a health measure: The predictive value of self-reported health status on the use of physician services and on mortality in the working-age population

Self-rated health status as a health measure: The predictive value of self-reported health status on the use of physician services and on mortality in the working-age population
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DOI:
10.1016/s0895-4356(97)00045-0
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发表时间:
1997-05-01
影响因子:
7.2
通讯作者:
Urponen, H
Urponen, H
中科院分区:
医学2区
文献类型:
--
作者:
Miilunpalo, S;Vuori, I;Urponen, H

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在芬兰的一项前瞻性研究中,对各种自我报告的健康评估在预测医生接触和全因死亡率方面的有效性进行了研究。随访期为1年的使用医生服务和10年10个月的死亡率。研究队列包括1340名男性和1500名女性,研究开始时年龄为35-63岁。最初的健康评估来自1980年的邮寄问卷(回复率77.5%)。一年后再次进行调查,以验证受访者的健康状况的稳定性。医生联系和死亡率的数据独立登记。自感健康状况的稳定性相对较好,自感健康与每年医生接触次数呈负相关。以年龄、性别和社会地位为标准,观察到自认为的健康状况与自认为的身体健康和死亡率之间存在一致的负相关,而自我报告的慢性疾病的预测价值较低。结果表明,主观健康评价是中年人群健康状况的有效指标,可用于队列研究和人群健康监测。(C)1997年爱思唯尔科学公司
The validity of various serf-reported health assessments in predicting physician contacts and all-cause mortality was investigated in a prospective study in Finland. The follow-up periods were one year for the use of physician services and ten years ten months for the mortality. The study cohort comprised 1340 men and 1500 women, 35-63 years of age at the beginning of the study. The initial health assessments were derived from postal questionnaires in 1980 (response rate 77.5%). The survey was repeated one year later to verify the stability of the respondents' perceived health status. The data on the physician contacts and mortality were registered independently. The stability of perceived health status was relatively good and the perceived health was inversely associated with the number of physician contacts per year. A consistent inverse association, standardized by age, sex and social status, was observed between perceived health status and perceived physical fitness and mortality, while the predictive value of self-reported chronic diseases was low. The results suggest that the subjective health assessments are valid health status indicators in middle-aged populations, and they can be used in cohort studies and population health monitoring. (C) 1997 Elsevier Science Inc.