Jeoungbin Choi, Moran Ki, Ho Jang Kwon, Boyoung Park, Sanghyuk Bae, Chang-Mo Oh, Byung Chul Chun, Gyung-Jae Oh, Young Hoon Lee, Tae-Yong Lee, Hae Kwan Cheong, Bo Youl Choi, Jung Han Park, Sue K. Park
J Prev Med Public Health. 2019;52(1):14-20. Published online January 23, 2019
One of the primary goals of epidemiology is to quantify various aspects of a population’s health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.
Summary
Korean summary
본 논문에서는 질병과 사망, 출생 관련 지표들의 개념과 종류를 설명하고, 특히 연구자들이 흔히 혼동하여 사용하는 지표들에 대한 적절한 정의를 제시하였다. 또한 지표들의 예시를 부록으로 수록하여 독자들이 지표의 개념을 보다 쉽게 습득하도록 돕고자 하였다.
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Objectives C-reactive protein (CRP), an inflammatory biomarker, has been widely used as a preclinical marker predictive of morbidity and mortality. Although many studies have reported a positive association between CRP and mortality, uncertainty still remains about this association in various populations, especially in rural Korea.
Methods A total of 23 233 middle-aged participants (8862 men and 14 371 women) who were free from cardiovascular disease, cancer, and acute inflammation (defined by a CRP level ≥10 mg/L) were drawn from 11 rural communities in Korea between 2005 and 2011. Blood CRP concentration was analyzed as a categorical variable (low: 0.0-0.9 mg/L; intermediate: 1.0-3.0 mg/L; high: 3.1-9.9 mg/L) as well as a continuous variable. Each participant’s vital status through December 2013 was confirmed by death statistics from the National Statistical Office. Cox proportional hazard models were used to assess the independent association between CRP and mortality after adjusting for other risk factors.
Results The total quantity of observed person-years was 57 975 for men and 95 146 for women, and the number of deaths was 649 among men and 367 among women. Compared to the low-CRP group, the adjusted hazard ratio for all-cause mortality of the intermediate group was 1.17 (95% confidence interval [CI], 0.98 to 1.40) for men and 1.27 (95% CI, 1.01 to 1.61) for women, and the corresponding values for the high-CRP group were 1.98 (95% CI, 1.61 to 2.42) for men and 1.41 (95% CI, 1.03 to 1.95) for women. Similar trends were found for CRP evaluated as a continuous variable and for cardiovascular mortality.
Conclusions Higher CRP concentrations were associated with higher mortality in a rural Korean population, and this association was more prominent in men than in women.
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