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(Stroke. 2007;38:2403.)
© 2007 American Heart Association, Inc.
Editorials |
From the Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pa.
Correspondence to Aiman El-Saed, MD, PhD, University of Pittsburgh, Health Studies Office, 130 N. Bellefield Ave, Rm 429, Pittsburgh, PA 15213. E-mail amest30{at}pitt.edu
Key Words: cerebrovascular diseases children epidemiology etiology geography risk factors mortality
See related article, pages 2415–2421.
More than 4 decades ago, Borhani1 reported excess stroke mortality risk in the southeastern states of the US, the "Stoke Belt". Since then, none of the many reasons proposed adequately explained the phonomenon.2 Many studies have failed to adequately explain geographic differences in stroke risk using traditional stroke risk factors measured later in life.3–6 There are 3 possible reasons why the traditional stroke risk factors failed to account for the higher stroke risk in the Stroke Belt states. First, the measurement of the risk factors may be inadequate. For example, higher blood pressure level, the most important single determinant of stroke risk, was measured in previous studies at only 1 or even several points in time, usually in middle aged or older adults. The integrated level of blood pressure from childhood or young adulthood to older ages and their adverse effects on vascular disease may be a more important determinant. Second, previous studies typically did not take into account the differential effects of treatment of the risk factors, not only including the likelihood that individuals are placed on various therapies to lower blood pressure or other risk factors but also, most important, adherence to such therapies and reduction of these risk factors. Third, there may be other still unidentified risk factors more prevalent in the southeastern states that make them carry this high risk of stroke mortality to their residents.
Supporting the concept of duration of exposure, we have previously reported in older individuals from the Cardiovascular Health Study that higher white matter grade on brain MRI, a marker of cumulative exposure and control of several stroke risk factors, explained 25% of the observed differences in stroke incidence among the 4 centers of the study.4 Another approach to evaluating the concept of duration of exposure is to evaluate whether earlier life exposures in the Stroke Belt are associated with increased stroke risk. Using local state mortality data and 1990 US census data, a couple of US studies examined the relation between Stroke Belt early-life residence (birthplace) and the excess stroke mortality. Fang and colleagues7 reported that black New Yorker men and women (especially older ones) who were born in southern US states had higher stroke mortality compared with those who were born in northeastern states. Three years later, Lackland and colleagues8 reported a graded risk of stroke mortality by birthplace, with the highest risk among individuals born in South Carolina (a prominent Stroke Belt state), intermediate risk in those born in the southeastern states other than South Carolina, and lowest risk in those born outside the southeastern states. The lower stroke risk among those born outside the southeast was greater in blacks than whites and in men than women.
These 2 studies were complementary in terms of reporting the importance of birthplace effect on stroke death later in life among those who migrated to a traditionally low stroke risk state (New York) and a traditionally high stroke risk state (South Carolina). However, because both studies were not designed to determine how birthplace affects stroke mortality, the question remains whether the excess stroke risk conferred by early childhood residence in the Stroke Belt states is mediated by socioeconomic status, behavioral norms, medical care, cardiovascular risk factors, or certain environmental exposures. Moreover, it is not clear whether those who were born and lived in the Stroke Belt carry excess risk than those who were born and migrated out of the Stroke Belt. Therefore, the study by Glymour and colleagues9 in the current issue of Stroke is a welcome addition to the literature on this interesting topic.
Glymour and colleagues9 analyzed data from the Health and Retirement Study (HRS). They compared the risk of first stroke in those who never lived in the Stroke Belt to those who lived there in childhood only, in adulthood only, and at both ages. Overall, they found higher stroke risk among those who lived in the Stroke Belt in childhood or both in childhood and adulthood (but not in adulthood only) compared with those who never lived there. The excess risk was not adequately explained by demographic characteristics, childhood and adult socioeconomic status, and adult cardiovascular risk factors.
HRS data have several strengths in addressing the above questions at least partially. HRS is a large (n=18 070), nationally representative, longitudinal study of white and black men and women 50 years or older. HRS includes information on place of residence in childhood and at study enrollment, comprehensive socioeconomic status assessments, and many stroke risk factors. The study has several major shortcomings that were acknowledged by the authors, including the self-reported nature of stroke outcome and predictors, lack of data on some important stroke risk factors such as levels of blood pressure and cholesterol, lack of data on place of residence between childhood and study enrollment, and finally inadequate power of some subanalysis by sex and birth cohort.
The study by Glymour and colleagues9 is important in making a valuable contribution to our understanding of Stroke Belt etiology by suggesting that the determinants of high stroke risk probably begin in childhood. Unfortunately, the data cannot separate the above 3 critical hypotheses related to high stroke risk in the southeastern states. A next step, therefore, might be to focus efforts in trying to determine whether there are differences in stroke risk factors, particularly early onset ones, as well as micro- and macronutrients among children and young adults in the southeastern states compared with the rest of the nation. For example, there has been some suggestion that low birth weight,10,11 poor weight gain early in life12 and low parental socioeconomic status at the time of birth,13 as measures of prenatal and early postnatal nutritional and environmental exposures, may be associated with an excess risk of stroke. Moreover, dietary factors such as high salt intake or low intake of potassium14 in childhood and young adulthood may be associated with an earlier onset of elevated blood pressure which could be associated with greater subclinical vascular disease and consequently stroke risk later in life. Increased left ventricular hypertrophy, microalbuminuria, elevated creatinine and cystatin-C levels and microvascular retinopathy in the eye may all be markers for long-standing elevated blood pressure and should be evaluated in further studies. In summary, the findings from this study and previous and ongoing studies to explain high stroke risk in the southeastern US suggest that greater emphasis is needed in studying the evolution of vascular disease in high and low risk areas in children and younger adults.
Acknowledgments
Disclosures
None.
Footnotes
The opinions in this editorial are not necessarily those of the editors or of the American Heart Association.
References
1. Borhani NO. Changes and geographic distribution of mortality from cerebrovascular disease. Am J Public Health Nations Health. 1965; 55: 673–681.[Medline] [Order article via Infotrieve]
2. Howard G. Why do we have a stroke belt in the Southeastern United States? A review of unlikely and uninvestigated potential causes. Am J Med Sci. 1999; 317: 160–167.[CrossRef][Medline] [Order article via Infotrieve]
3. Gillum RF, Ingram DD. Relation between residence in the Southeast region of the United States and stroke incidence: The NHANES I epidemiologic follow up study. Am J Epidemiol. 1996; 144: 665–673.
4. El-Saed A, Kuller LH, Newman AB, Lopez O, Costantino J, McTigue K, Cushman M, Kronmal R. Factors associated with geographic variations in stroke incidence among older populations in four US communities. Stroke. 2006; 37: 1980–1985.
5. Howard G, Prineas R, Moy C, Cushman M, Kellum M, Temple E, Graham A, Howard V. Racial and geographic differences in awareness, treatment, and control of hypertension: the REasons for Geographic And Racial Differences in Stroke study. Stroke. 2006; 37: 1171–1178.
6. Stolley PD, Kuller LH, Nefzger MD, Tonascia S, Lilienfeld AM, Miller GD, Diamond EL. Three-area epidemiological study of geographic differences in stroke mortality. II. Results. Stroke. 1977; 8: 551–557.
7. Fang J, Madhavan S, Alderman MH. The association between birthplace and mortality from cardiovascular causes among black and white residents of New York City. N Engl J Med. 1996; 335: 1545–1551.
8. Lackland DT, Egan BM, Jones PJ. Impact of nativity and race on "Stroke belt" Mortality. Hypertension. 1999; 34: 57–62.
9. Glymour MM, Avendaño M, Berkman LF. Is the stroke belt worn from childhood? Risk of first stroke and state of residence in childhood and adulthood. Stroke. 2007; 38: 2415–2421.
10. Barker DJ, Lackland DT. Prenatal influences on stroke mortality in England and Wales. Stroke. 2003; 34: 1598–1602.
11. Lawlor DA, Ronalds G, Clark H, Davey Smith G, Leon DA. Birth weight is inversely associated with incident coronary heart disease and stroke among individuals born in the 1950s: findings from the Aberdeen children of the 1950s prospective cohort study. 2005; 112: 1414–1418.
12. Osmond C, Kajantie E, Forsen TJ, Eriksson JG, Barker DJ. Infant growth and stroke in adult life: The Helsinki birth cohort study. Stroke. 2007; 38: 264–270.
13. Lawlor DA, Ronalds G, Macintyre S, Clark H, Leon DA. Family socioeconomic position at birth and future cardiovascular disease risk: findings from the Aberdeen children of the 1950s cohort study. 2006; 96: 1271–1277.
14. Hajjar I, Kotchen T. Regional variations of blood pressure in the United States are associated with regional variations in dietary intakes: The NHANES-III data. J Nutr. 2003; 133: 211–214.
Related Article:
Stroke 2007 38: 2415-2421.
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