Population effects on individual systolic blood pressure:: A multilevel analysis of the World Health Organization MONICA project

被引:68
作者
Merlo, J
Asplund, K
Lynch, J
Råstam, L
Dobson, A
机构
[1] Lund Univ, Dept Community Med, Sect Prevent Med, Malmo, Sweden
[2] Umea Univ, Dept Med, Umea, Sweden
[3] Univ Michigan, Dept Epidemiol, Ann Arbor, MI 48109 USA
[4] Univ Queensland, Sch Populat Hlth, Brisbane, Qld, Australia
关键词
analysis of variance; antihypertensive agents; blood pressure; body mass index; education; hypertension; population; world health;
D O I
10.1093/aje/kwh160
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Individuals from the same population share a number of contextual circumstances that may condition a common level of blood pressure over and above individual characteristics. Understanding this population effect is relevant for both etiologic research and prevention strategies. Using multilevel regression analyses, the authors quantified the extent to which individual differences in systolic blood pressure (SBP) could be attributed to the population level. They also investigated possible cross-level interactions between the population in which a person lived and pharmacological (antihypertensive medication) and nonpharmacological (body mass index) effects on individual SBP. They analyzed data on 23,796 men and 24,986 women aged 35-64 years from 39 worldwide Monitoring of Trends and Determinants in Cardiovascular Disease (MONICA) study populations participating in the final survey of this World Health Organization project (1989-1997). SBP was positively associated with low educational achievement, high body mass index, and use of antihypertensive medication and, for women, was negatively associated with smoking. About 7-8% of all SBP differences between subjects were attributed to the population level. However, this population effect was particularly strong (i.e., 20%) in antihypertensive medication users and overweight women. This empirical evidence of a population effect on individual SBP emphasizes the importance of developing population-wide strategies to reduce individual risk of hypertension.
引用
收藏
页码:1168 / 1179
页数:12
相关论文
共 29 条
[1]  
[Anonymous], MULTILEVEL MODELING
[2]   A life course approach to chronic disease epidemiology: conceptual models, empirical challenges and interdisciplinary perspectives [J].
Ben-Shlomo, Y ;
Kuh, D .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2002, 31 (02) :285-293
[3]   Mechanisms by which the Hawksley random zero sphygmomanometer underestimates blood pressure and produces a non-random distribution of RZ values [J].
Brown, WCB ;
Kennedy, S ;
Inglis, GC ;
Murray, LS ;
Lever, AF .
JOURNAL OF HUMAN HYPERTENSION, 1997, 11 (02) :75-93
[4]   Socio-economic status and blood pressure: an overview analysis [J].
Colhoun, HM ;
Hemingway, H ;
Poulter, NR .
JOURNAL OF HUMAN HYPERTENSION, 1998, 12 (02) :91-110
[5]   Genes and family environment explain correlations between blood pressure and body mass index [J].
Cui, JS ;
Hopper, JL ;
Harrap, SB .
HYPERTENSION, 2002, 40 (01) :7-12
[6]   Multilevel analysis in public health research [J].
Diez-Roux, AV .
ANNUAL REVIEW OF PUBLIC HEALTH, 2000, 21 :171-192
[7]  
Durkheim Emile., 1938, The rules of sociological method
[8]   Intersalt revisited: Further analyses of 24 hour sodium excretion and blood pressure within and across populations [J].
Elliott, P ;
Stamler, J ;
Nichols, R ;
Dyer, AR ;
Stamler, R ;
Kesteloot, H ;
Marmot, M .
BMJ-BRITISH MEDICAL JOURNAL, 1996, 312 (7041) :1249-1253
[9]  
Emmons K. M., 2000, SOCIAL EPIDEMIOLOGY
[10]  
Goldstein H., 2011, MULTILEVEL STAT MODE