Donate Help Contact The AHA Sign In Home
American Heart Association
Stroke
Search: search_blue_button Advanced Search
Stroke. 1998;29:2061-2068

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lackland, D. T.
Right arrow Articles by Kohli, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lackland, D. T.
Right arrow Articles by Kohli, H.

(Stroke. 1998;29:2061-2068.)
© 1998 American Heart Association, Inc.


Original Contributions

The Geographic Variation in Stroke Incidence in Two Areas of the Southeastern Stroke Belt

The Anderson and Pee Dee Stroke Study

Daniel T. Lackland, DrPH; David L. Bachman, MD; Timothy D. Carter, MD; Derek L. Barker, MS; Stephen Timms, MD; Harvinder Kohli, MD

From the Department of Biometry and Epidemiology (D.T.L.; D.L.Barker) and the Department of Neurology (D.L.Bachman, T.D.C., S.T., H.K.), Medical University of South Carolina, Charleston, SC.

Correspondence to Daniel T. Lackland, DrPH, Department of Biometry and Epidemiology, Medical University of South Carolina, Charleston, SC 29425-2203. E-mail lackland{at}musc.edu


*    Abstract
up arrowTop
*Abstract
down arrowIntroduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowAppendix 1
down arrowReferences
 
Background and Purpose—South Carolina and the southeastern United States have maintained the highest stroke mortality in the country. The Anderson and Pee Dee Stroke Study is an assessment of cerebrovascular disease incidence in 2 geographically defined communities in the stroke belt.

Methods—Strokes were identified in the Anderson and Pee Dee areas of South Carolina. All hospitalized and out-of-hospital deaths occurring during 1990 among the residents of these 2 areas were included. Strokes were classified by an independent panel of neurologists using a standard protocol that included specific criteria for stroke and subtypes.

Results—The overall age-adjusted stroke incidence rates (per 100 000 population) were significantly higher in the Pee Dee population (293.1) compared with Anderson (211.2). The geographic differences were more dramatic in the younger age groups of 35 to 64 years. Likewise, incidence rates for blacks were nearly twice the rates for whites. The rates in the Pee Dee were higher than the rates from other studies in the United States and other parts of the world. Although the stroke subtypes did not vary between the 2 regions, race-sex differences were identified.

Conclusions—High stroke incidence and disease rates persist for all 4 race-sex groups in the Southeast and reflect similar risks as mortality rates. However, geographic variability in stroke rates suggests that the pattern of disease in the region is not so much a "belt" of increased stroke in contiguous areas but rather more a "necklace" of different levels of risk. These results should be useful in the identification of factors associated with this geographic enigma.


Key Words: blacks • cerebrovascular disorders • epidemiology • geography • incidence


*    Introduction
up arrowTop
up arrowAbstract
*Introduction
down arrowSubjects and Methods
down arrowResults
down arrowDiscussion
down arrowAppendix 1
down arrowReferences
 
Although cerebrovascular disease mortality has been declining for the past 2 decades, stroke remains the third leading cause of death in the United States.1 2 3 However, significant geographic variation in stroke mortality within the United States has been detected.4 The southeastern region of the United States, dubbed the "stroke belt," has been recognized as an area of excess cerebrovascular disease mortality for 4 decades.5 Although some recent investigations have suggested changes in the contiguous geographic pattern of mortality, areas of excessive stroke death rates continue to be reported in the Southeast.6 7 8 9 The reasons for these areas of high mortality risk remain an enigma10,11; however, death certificate reporting practices do not explain the geographic variation in stroke mortality.12

Stroke risks for this geographic region of the country have primarily been based on mortality rates as identified by death certificates. Although this approach is convenient because of the availability of mortality data, the results of such analyses are most useable to generate hypotheses. The limitations of death certificates severely reduce their validity in drawing conclusions about the true estimates of cerebrovascular disease incidence.13 14 In addition, stroke mortality rates are affected by case-fatality rates.15 16 The risk assessment of geographic variation for cerebrovascular disease is further complicated by the lack of stroke incidence data for the 2 primary ethnic populations of the Southeast. Incidence rates are generally considered a more accurate reflection of disease level than mortality rates, which are affected by case fatality and survival.17 18 The methodology for determining population stroke incidence is a critical consideration involving problems of case ascertainment and epidemiological review of multiple data sources.19 20 21 22 23 24 This study is one of the first major efforts to measure variation in stroke incidence and cerebrovascular disease in a southeastern stroke belt population.


*    Subjects and Methods
up arrowTop
up arrowAbstract
up arrowIntroduction
*Subjects and Methods
down arrowResults
down arrowDiscussion
down arrowAppendix 1
down arrowReferences
 
Study Population Areas
The 2 South Carolina population areas used in this study were Anderson county and the Pee Dee area, which includes Darlington and Florence counties. The 2 areas are separated by approximately 200 miles. In 1990, both areas had total populations of slightly less than 100 000. The median education level of both areas was approximately 12 years, with 16.1% of the Anderson adults having <9 years of education compared with 16.3% from the Pee Dee area. Unemployment levels were similar at 7.4%. Also, 9.7% of the Anderson population in 1990 was below the poverty level compared with 11.3% of the Pee Dee residents. Although socioeconomic status indicators are similar for the 2 areas, some racial variation is seen, with a higher black proportion in the Pee Dee area (33%) than in Anderson (18%). The 2 areas are considered predominantly rural, with the city of Anderson, in Anderson county, and Florence, in the Pee Dee area, as urban centers. The Pee Dee area has 7 hospitals, including 1 regional medical center, whereas Anderson is served by 1 hospital, a large regional medical center. The 2 populations have participated in cardiovascular disease studies in the past, including a surveillance study of acute myocardial infarction and population risk factors.25 26 27 This prior experience in assessing the incidence of acute myocardial infarction in these communities identified very little out-migration for acute health care. Therefore, almost all cases requiring hospitalization can be captured by reviewing the discharge records from the index hospitals. Hospital discharge records were reviewed from the entire state system to determine that all cases for residents had been included from out-of-area hospitals.

Case Ascertainment
Stroke cases were identified from hospital records, emergency room records, death certificates, coroners' records, physicians' reports, and informant interviews. All case subjects 35 to 74 years of age were included in the study. Case subjects 75 years of age and older were excluded because of the difficulty in complete accounting as a result of different treatment and diagnosis for elderly patients, a higher rate of old events, and higher rates of out-of-hospital case management such as nursing homes. Multiple events during the year were considered as 1 case.

Hospital Cases
Each hospital identified all hospitalizations and emergency room presentations with discharges of cerebrovascular disease (International Classification of Diseases, Revision 9, codes 430 to 438) occurring during the calendar year 1990. These selection criteria are broad to maximize the selection of all acute stroke cases. Hospitalizations for residents of Anderson, Darlington, and Florence counties occurring outside of the 3-county area were also identified through the South Carolina hospital discharge system. Records were manually abstracted by trained abstractors using standard methodology. The abstract forms and protocol were adapted from similar population studies of stroke incidence, and included modules of initial symptomatology, physical examination reports, comorbid conditions, associated discharges, diagnostic procedures including CT/MRI scan reports, hospital treatments, and supporting information from the medical records.28 29 30 31 32

Death Cases
Death certificates were obtained for all mortality in stroke cases occurring in residents of the 3-county area. Certificate information was merged with abstract information from hospitalized events. Out-of-hospital events with no prior hospital discharges in 1990 were considered new cases. In addition to death certificate information, coroners' reports, autopsy reports, physicians' reports, and informant interviews were included in the assessment. Case fatality rates were determined for deaths occurring for hospitalized cases of stroke.

Stroke Classification
A stroke was defined as a neurological deficit with an onset of 72 hours or less, and a duration of 24 hours or greater due to ischemic infarction or intraparenchymal hemorrhage. Subarachnoid hemorrhage and intraparenchymal hemorrhage due to berry aneurysm, trauma, neoplasm, or infection were not considered stroke for this study.

A review panel of 3 neurologists independently reviewed each case. Cases were randomly assigned by the lead neurologist (D. Bachman). The study neurologists were not familiar with any of the cases. Likewise, the panel was blinded to the community of origin for the cases.

Cases were designated as probable stroke, possible stroke, and uncertain cases (see AppendixDown). Cases that met the criteria for 1 of the 5 stroke subtypes (atheroembolic stroke, cardioembolic stroke, lacunar stroke, intraparenchymal hemorrhage, and indeterminate) with a CT scan and/or MRI scan that demonstrated an acute lesion corresponding to the clinical findings were designated as "probable stroke." Cases meeting the clinical criteria for stroke in which a CT or MRI scan did not demonstrate an acute lesion, or no scan was performed, were designated as "possible strokes." The remaining cases were designated "uncertain strokes." "All-criteria strokes" include those classified as probable, possible, and uncertain. Case subjects designated as having atheroembolic stroke exhibited typical clinical features of stroke; cardioembolic case subjects exhibited typical clinical features of stroke and a likely cardiogenic source of embolus; lacunar cases fit 1 of the classic clinical profiles of lacunar stroke; and intraparenchymal hemorrhage cases were diagnosed by CT scan or MRI scan. Details of syndrome criteria are presented in the AppendixDown.

Statistical Analysis
Incidence rates of stroke were calculated as cases per 100 000 population. Rates were age-adjusted using the direct method and the 1970 US population as the standard. Rates were compared for statistical significance. When all cell sizes used in the comparisons were greater than 5, the normal theory test (2-sample test for binomial proportions) was used, and for obtaining a confidence interval for the binomial function. When any cells in the comparisons were <5, the exact method was used.33

Interrater agreement was assessed with a 10% random sample of the cases rated by the lead neurologist (D. Bachman), after he was blinded to the initial rating. The {kappa} statistic was used to measure the level of agreement. Incidence rates were compared with other population-based stroke studies.


*    Results
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
*Results
down arrowDiscussion
down arrowAppendix 1
down arrowReferences
 
Abstractors reviewed 1942 records as part of the case ascertainment process. More than one fourth of the records (27.0%) were determined to be ineligible because the event was a transient ischemia attack only or other nonstroke cerebrovascular disorder and/or the event was considered to be "old," ie, occurring before 1990. The proportions of these ineligible cases were similar for the 2 areas (Anderson, 24.7%; Pee Dee, 28.4%). The case ascertainment process identified 1418 case subjects from the 2 areas (Table 1Down). The majority (60.6%) of the total case subjects were ascertained from the Pee Dee area. Nearly all (95.0%) of the case were identified from hospital records, with the remainder as out-of-hospital deaths determined from death certificate review. The proportion of hospitalized cases was similar for both areas. The second component of the triage process consolidated multiple admissions to 1 case subject and removed case subjects who were not between the ages of 35 and 74 years, resulting in 674 (274 from Anderson, 400 from Pee Dee) cases eligible for review by the neurologists.


View this table:
[in this window]
[in a new window]
 
Table 1. Chart and Record Review by Record Source and Site

The majority (51%) of the 674 cases were classified as uncertain (Table 2Down). Thirty-six percent were determined to be probable, and 13% were possible. The proportions of cases in the 3 classifications were similar for the 2 study areas. Likewise, similar patterns were seen for the 4 race-sex groups. The 10% quality control re-review determined excellent interrater agreement for stroke classification and subtype as identified by {kappa}>0.75.


View this table:
[in this window]
[in a new window]
 
Table 2. Final Classification Disposition for Eligible Cases Subjects Aged 35–74 Years

"First-ever" strokes represented 76% of cases ascertained. Similar rates of first-ever strokes were detected for the 4 race-sex groups (white males, 77%; white females, 77%; black males, 74%; and black females, 76%). Nearly all of the 35- to 44-year-old case subjects were first-ever strokes. The other age groups were similar, with nearly three fourths of the cases identified as first-ever strokes. First-ever strokes were similar for the 2 sites (Anderson, 78%; Pee Dee, 74%).

All-criteria incidence rates for Anderson and Pee Dee are presented in Table 3Down. Although the Pee Dee area had significantly higher overall incidence rates, Pee Dee white males were the only race-sex group to have had significantly greater rates than for their Anderson counterparts. Similar patterns were detected when probable and possible cases were considered (Table 4Down). The stroke rates for probable and possible cases increased with age for all groups in both areas. Although whites had higher numbers of strokes, black males and females had significantly higher incidence rates than their white counterparts. These higher rates were observed for each of the age groups as well. Overall, the rates for the Pee Dee area were statistically higher than for Anderson.


View this table:
[in this window]
[in a new window]
 
Table 3. Number, Rate (per 100 000 Population), and 95% Confidence Interval for All-Criteria Stroke Case Subjects by Age, Race, Sex, and Area


View this table:
[in this window]
[in a new window]
 
Table 4. Number, Rate (per 100 000 Population), and 95% Confidence Interval for Probable and Possible Stroke Case Subjects by Age, Race, Sex, and Area

Atheroembolic stroke was the most prevalent subtype, accounting for >50% of the events in both Anderson and the Pee Dee area (see the FigureDown). Although some variation was determined for subtypes (atheroembolic stroke, cardioembolic stroke, lacunar stroke, intraparenchymal hemorrhage, and indeterminate) the distributions between the 2 areas were not statistically different. However, statistically significant (P=0.021) variation in subtypes was detected for the race-sex groups, with blacks having the higher rates of intraparenchymal hemorrhage (FigureDown). In particular, one fourth of the strokes in black males were classified as intraparenchymal hemorrhage. Some variation of stroke type was detected by the age groups <65 years and >=65 years (atheroembolic stroke, 62% versus 55%; cardioembolic stroke, 7% versus 12%; lacunar stroke, 11% versus 21%; and intraparenchymal hemorrhage, 17% versus 10%, respectively).



View larger version (34K):
[in this window]
[in a new window]
 
Figure 1. Percent of probable/possible stroke by subtype categories (atheroembolic, cardioembolic, lacunar, intraparenchymal hemorrhage, and indeterminant) and race-sex categories. The variation in subtypes was significant among the 4 race-sex groups (P=0.021).

The fatality rates for all criteria cases were not significantly different between the 2 sites (Anderson, 14.7%; Pee Dee area, 12.8%). Likewise, the case-fatality rates were similar for the 4 race-sex groups by Anderson and Pee Dee area (white males, 14.0% and 9.6%; white females, 14.0% and 12.7%; black males, 27.3% and 19.2%; and black females, 12.5% and 20.0%, respectively).


*    Discussion
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
*Discussion
down arrowAppendix 1
down arrowReferences
 
The variation in cerebrovascular disease incidence has been recognized and reported from different areas of the world.34 35 36 37 Nonetheless, estimates of cerebrovascular disease have been limited in the Southeast United States, and the purpose of this paper was to determine incidence rates for stroke in specific populations of this region. Although this study has the obvious limitations of a retrospective chart review, very conservative criteria for stroke diagnosis were used to identify cases. Likewise, interrater reliability for the classification of categories was high, as indicated by {kappa}>0.75. The protocols were adapted from other population studies.28 29 30 31 32 Although case management and diagnostic approaches are important considerations in such a study, the similar proportions of cases classified as strokes would suggest similar situations for the 2 South Carolina areas included in this study.

Classification of stroke cases, particularly from death certificates and cases with insufficient information in the medical record, is a critical consideration in the assessment of cerebrovascular disease patterns. This study provides an opportunity to identify a range of stroke incidence. Disease rates, as determined by probable/possible criteria, reflect the minimum incidence rates for the population. Likewise, incidence rates based on all-criteria cases would represent the maximum rates of stroke and probably an overestimate of the true incidence. Nonetheless, the complete range of stroke rates determined by this study is considerably greater than the levels reported from other incidence studies from Framingham,38 Rochester,39 Missouri,40 Connecticut,41 and Norway.42 For example, the stroke incidence rates for 45- to 54-year-old white males in the Pee Dee area ranged from 2.4/1000 population per year (probable/possible) to 4.0 (all criteria). This range is clearly higher than the rates from these other population studies: Framingham,38 2.2; Rochester,39 0.6; Missouri,40 0.3; Connecticut,41 1.2; and Norway,42 0.6. Similar patterns for 55- to 64-year-old white males were found, with the range in the Pee Dee area from 5.7 to 10.6 compared with Framingham38 at 4.6, Rochester39 3.6, Missouri40 3.9, Connecticut41 4.6, and Norway42 2.2. For white males 65 to 74 years old, the range in the Pee Dee area was 6.2 to 16.1/1000 population compared with Framingham38 at 9.8, Rochester39 8.9, Missouri40 7.4, Connecticut41 11.9, and Norway42 7.3. Similar patterns are seen from other population studies.43 44 45 The conservative probable/possible category of stroke classification was higher in the Pee Dee area than in nearly all of the comparison populations.38 39 40 41 42 The differences are even greater when all criteria incidence rates are compared. The higher incidence rates in South Carolina are most dramatic when compared with the other population studies performed in younger subjects (45 to 64 years). Comparison rates for blacks are not available, but the higher incidence rates for blacks are much higher than the rates reported for these other population studies.

The geographic variation in stroke and higher rates in the Southeast46 47 have been reported. However, those previously reported populations were separated by considerable distance in contrast to the significantly different incidence rates of the relatively proximal areas of Pee Dee and Anderson. Although blacks have substantially higher rates of stroke overall, the geographic variation between these 2 study sites is more evident for white males and females. In fact, the incidence rates for blacks did not significantly differ from site to site.

The reasons there are differences in stroke incidence rates between these 2 communities are not known. Available medical care facilities and manpower appear to be similar between the 2 areas. The profiles of stroke subtypes, which are associated with different risk factors,48 49 50 are similar between the areas. The case-fatality rates were also similar for the Anderson and Pee Dee populations. Although socioeconomic status is associated with stroke,51 the education and economic profiles of these 2 communities are also similar. Likewise, there is no difference in the percentage of Medicaid admissions for stroke between the Anderson and Pee Dee areas. Behavioral risk factors (including hypertension, smoking, and obesity) are strongly associated with stroke.52 53 54 55 56 However, these factors are similar for these 2 communities.26 57 Perhaps an obscure interaction of socioeconomic status, access to primary care, and the prevalence of risk factors may yet explain the differences in stroke rates. Or, some as-yet unidentified environmental risk factor, such as magnesium in drinking water58 59 or an early life event affecting birth weight, may play an important role in the geographic variation of stroke incidence.60 Geographic variation in disease rates for heart disease was also seen between these 2 areas, with the incidence of acute myocardial infarction and congestive heart failure higher for white males in the Pee Dee area.25 27 61 These differences in heart disease and stroke rates suggest a variation in overall risk for atherosclerotic disease.

The present study demonstrates that high stroke rates persist in the southeastern United States and confirms the findings of other mortality and morbidity reports for the region.4 5 6 7 8 9 10 62 63 64 65 66 Although declines and changes in stroke mortality have been reported from other investigations,67 68 69 70 71 the high incidence rates (a measure of disease72) reported here indicate that the populations residing in the Southeast have an excess cerebrovascular disease risk. The geographic variability in stroke incidence rates suggests that the region is not so much a "belt" of areas of contiguous increased stroke risks as a "necklace" of areas of varying risks. Significant regional variability of stroke rates within a defined geographical area may help to identify additional important risk factors for stroke that need to be further investigated.

Conclusions
The Pee Dee area had an overall 40% greater stroke incidence rate that was statistically significant compared with the Anderson area. The geographic difference was more dramatic in younger subjects: the Pee Dee rates were 58% greater for subjects aged 55 to 64 years and 100% greater for those aged 45 to 54 years, but only 13% greater for the 65- to 74-year age group. This contrast was particularly evident for white males: the rates for the 2 areas were nearly identical for age group 65 to 74 years, but rates were twice as high for Pee Dee white males 55 to 64 years old and 3.6 times greater in the 45- to 54-year-old age group. The small cell size and wide confidence interval are limitations of our study comparing the 2 areas by age-race-sex groups. Nonetheless, a consistent pattern for the trends appears to be present.


*    Appendix 1
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
*Appendix 1
down arrowReferences
 
Criteria for Anderson and Pee Dee Stroke Study


*    Acknowledgments
 
This work was supported in part by a grant from the American Heart Association, South Carolina Affiliate, and the Young Scholar's Award from the American Society of Hypertension.

Received March 26, 1998; revision received July 2, 1998; accepted July 2, 1998.


*    References
up arrowTop
up arrowAbstract
up arrowIntroduction
up arrowSubjects and Methods
up arrowResults
up arrowDiscussion
up arrowAppendix 1
*References
 
1. Wolf PA, Dawber TR, Thoma HE, Colton T, Kannel WP. Epidemiology of stroke. Adv Neurol. 1977;16:5–19.[Medline] [Order article via Infotrieve]

2. Ostfeld SM. A review of stroke epidemiology. Epidemiol Rev. 1980;2:136–152.[Free Full Text]

3. Anderson RN, Kochanek KD, Murphy SL. Report of final mortality statistics, 1995. Monthly Vital Statistical Reports. 1997;45(suppl 2)1–80.

4. Lanska DJ. Geographic distribution of stroke mortality in the United States, 1936–1941 to 1979–1981. Neurology. 1993;43:1839–1851.[Abstract/Free Full Text]

5. Borhani N. Changes and distribution of mortality in cerebrovascular disease. Am J Public Health. 1965;35:673–681.

6. Lackland DT, Moore MA. Hypertension-related mortality and morbidity in the Southeast. South Med J. 1997;90:191–198.[Medline] [Order article via Infotrieve]

7. Howard G, Evans GW, Pearce K, Howard VJ, Bell RA, Mayer ES, Burke GL. Is the stroke belt disappearing? An analysis of racial, temporal and age effects. Stroke. 1995;26:1153–1158.[Abstract/Free Full Text]

8. Lanska DJ, Kuller LH. The geography of stroke mortality in the United States and the concept of a stroke belt. Stroke. 1995;26:1145–1149.[Free Full Text]

9. Howard G, Howard VJ. The end of the stroke belt? It may be too early to declare victory. Stroke. 1995;26:1150–1152.[Free Full Text]

10. Hall WD, Farrario CM, Moore MA, Hall JE, Flack JM, Cooper W, Simmons JD, Egan BM, Lackland DT, Perry M, Roccella E. Hypertension-related morbidity and mortality in the Southeastern United States. Am J Med Sci. 1997;313:1–15.[Medline] [Order article via Infotrieve]

11. Kuller LH, Bolker A, Saslaw MS, Paegel BL, Sisk C, Borhani N, Wray JA, Anderson H, Peterson D, Winkelstein W, Cassel J, Spiers D, Robinson AL, Curry A, Lilienfield AM, Seltser R. Nationwide cerebrovascular disease mortality study, III: accuracy of the clinical diagnosis of cerebrovascular disease. J Epidemiol. 1969;90:556–566.

12. Lanska DJ, Peterson PM. Geographic variation on reporting of stroke deaths to underlying or contributing causes in the United States. Stroke. 1995;26:1999–2003.[Abstract/Free Full Text]

13. Florey CDV, Sater MG, Acheson RM. A study of the validity of the diagnosis of stroke in mortality data. Am J Epidemiol. 1969;89:15–24.[Abstract/Free Full Text]

14. Iso H, Jacobs DR, Goldman L. Accuracy of death certificate diagnosis of intracranial hemorrhage and nonhemorrhagic stroke. Am J Epidemiol. 1990;132:993–998.[Abstract/Free Full Text]

15. Howard G. Decline in stroke mortality in North Carolina–description, predictions and a possible underlying cause. Ann Epidemiol. 1993;3:488–492.[Medline] [Order article via Infotrieve]

16. Howard G, Craven TE, Sanders L, Evans GW. Relationship of hospitalized stroke rate and in-hospital mortality to the decline in US stroke mortality. Neuroepidemiology. 1991;10:251–259.[Medline] [Order article via Infotrieve]

17. Kuller LH, Bolker A, Saslaw MS. Nationwide cerebrovascular disease mortality study, II: comparison of clinical records and death certificates. Am J Epidemiol. 1969;90:545–555.[Abstract/Free Full Text]

18. Gillum RF. Community surveillance for cardiovascular disease: disease, methods, problems, applications: a review. J Chronic Dis. 1978;31:87–94.[Medline] [Order article via Infotrieve]

19. Allen CMC. Differential diagnosis of acute stroke: a review. J Roy Soc Med. 1984;77:878–881.[Medline] [Order article via Infotrieve]

20. Oxfordshire Community Stroke Project. Incidence of stroke in Oxfordshire: first year's experience of a community stroke registry. BMJ. 1983;287:713–717.

21. Allen CMC. Clinical diagnosis of the acute stroke syndrome. Q J Med. 1983;208:515–523.

22. Foulkes MA, Wolf PA, Price TR, Mohr JP, Hier DM. The stroke data bank: design, methods and baseline characteristics. Stroke. 1988;19:547–554.[Abstract/Free Full Text]

23. Wolf PA, D'Agostino RB, Belanger AJ, Kannel WB. Probability of stroke: A risk profile from the Framingham Study. Stroke. 1991;22:312–318.[Abstract/Free Full Text]

24. Sacco RL. Ischemic stroke. In: Gorelick PB, Alter M, eds. Handbook of Neuroepidemiology. New York, NY: Marcel Dekker; 1994:77–121.

25. Keil JE, Gazes PE, Litaker MS, Saunders DE, Weinrich MC, Baroody NB, Lackland DT, Hudson MB. Changing patterns of acute myocardial infarction: decline in period prevalence and delay in onset. Am Heart J. 1989;117:1022–1029.[Medline] [Order article via Infotrieve]

26. Lackland DT, Orchard TJ, Keil JE, Saunders DE, Wheeler FC, Adams-Campbell LL, McDonald RH, Knapp RG. Are race differences in the prevalence of hypertension explained by body mass and fat distribution? A survey in a biracial population. Int J Epidemiol. 1992;21:236–246.[Abstract/Free Full Text]

27. Lackland D, Berg P, Keil J, Jones E, Baroody N, Saunders D, Gazes P. AMI incidence trends in the U.S. strokebelt. Can J Cardiol. 1997;13(suppl B):112B. Abstract.

28. WHO MONICA Project, Principal Investigator. The World Health Organization MONICA (Monitoring Trends and Determining in Cardiovascular Disease): a major international collaboration. J Clin Epidemiol. 1988;41:105–114.[Medline] [Order article via Infotrieve]

29. Sandercock P, Molyneaux A, Warlow C. Value of computerized tomography in patients with stroke: the Oxfordshire Community Stroke Project. BMJ. 1985;290:193–197.

30. Robins M, Baum HM. The national survey of stroke incidence. Stroke. 1981;2(suppl):45–58.

31. Kannel WB, Dawber TR, Cohen MS, McNamara PM. Vascular disease of the brain—epidemiologic aspects: the Framingham Study. Am J Public Health. 1965;55:1355–1366.

32. Matsumoto N, Whisnant JP, Kurland LT, Okazaki H. National history of stroke in Rochester, Minnesota, 1955 through 1969: an extension of previous study, 1945 through 1954. Stroke. 1973;4:20–29.[Abstract/Free Full Text]

33. Rosner B. Fundamental Biostatistics. 3rd ed. Boston, Mass: PWS–Kent Publishing Company; 1996.

34. Bonita R. Epidemiology of stroke. Lancet. 1992;339:342–344.[Medline] [Order article via Infotrieve]

35. Malmgren R, Waslow C, Bamford J, Sandercock P. Geographical and secular trends in stroke incidence. Lancet. 1987;331:1196–1200.

36. Hong Y, Bots ML, Pan X, Wang A, Jing H, Hofman H, Chen H. Stroke incidence and mortality in rural and urban Shanghai from 1984 through 1991. Stroke. 1994;25:1165–1169.[Abstract]

37. WHO MONICA Project. Stroke incidence and mortality unrelated to stroke risk factors in the WHO MONICA Project: an ecological study of 18 populations. Stroke. 1997;28:1367–1379.[Abstract/Free Full Text]

38. Wolf PA, Cobb JL, D'Agostino. Epidemiology of stroke. In: Barnett HJM, Stein BM, Mohr JP, Yatsu FM, eds. Stroke: Pathology, Diagnosis, and Management. New York, NY: Churchill-Livingstone; 1992.

39. Brown RD, Whisnant SJ, Sicks JD, O'Fallon WM, Wiebers DO. Stroke incidence, prevalence and survival secular trends in Rochester, Minnesota, 1986 through 1989. Stroke. 1996;27:373–380.

40. Eckstrom PT, Brand FR, Edlavitch SA, Parrish HM. Epidemiology of stroke in a rural area. Public Health Rep. 1969;84:878–882.[Medline] [Order article via Infotrieve]

41. Eisenberg H, Morrison JT, Sullivan P, Foote FM. Cerebrovascular accidents, influence and survival rates in a defined population, Middlesex County, Connecticut. JAMA. 1964;198:883–888.

42. Ellekjaer H, Holmen J, Indredovik B, Lerent A. Epidemiology of stroke in Innherred, Norway, 1994 to 1996: incidence and 30-day care fatality rate. Stroke. 1997;28:2180–2184.[Abstract/Free Full Text]

43. Herman B, Leyten ACM, Van Luiyk JH, Frenken LW, Opdecoul AA, Schulte BP. Epidemiology of stroke in Tolberg, the Netherlands. Stroke. 1982;13:829–835.[Abstract/Free Full Text]

44. Truelson T, Prescott E, Gronbuek M, Schnohr P, Boysen G. Trends in stroke incidence: the Copenhagen City Heart Study. Stroke. 1997;28:1903–1907.[Abstract/Free Full Text]

45. McGovern PG, Burke GL, Sprafka JM, Xue S, Folsom AR, Blackburn H. Trends in mortality, morbidity, and risk factor levels for stroke from 1966 through 1990: the Minnesota Heart Survey. JAMA. 1992;268:753–759.[Abstract/Free Full Text]

46. Gillum RF, Ingram DD. Relation between residence in the southeast region of the United States and stroke. Am J Epidemiol. 1996;144:665–673.[Abstract/Free Full Text]

47. Stolley PD, Kuller LH, Nefzger MD, Fonasia S, Lillienfield AM, Miller GD, Diamond EL. Three-area epidemiological study of geographic differences in stroke mortality, II: results. Stroke. 1977;8:551–557.[Abstract/Free Full Text]

48. Caplan LR. Intracerebral haemorrhage. Lancet. 1992;339:656–658.[Medline] [Order article via Infotrieve]

49. Sacco RL, Kargman DE, Gu Q, Zamanilla MC. Race-ethnicity and determinants of intracranial atherosclerotic cerebral infarction: the northern Manhattan stroke study. Stroke. 1995;26:14–28.[Abstract/Free Full Text]

50. Wolf PA. An overview of the epidemiology of stroke. Stroke. 1990;21(suppl II):II-4–II-6.

51. Modan B, Wagener DK. Some epidemiological aspects of stroke: mortality/morbidity trends, age, sex, race, socioeconomic status. Stroke. 1992;23:1230–1236.[Abstract/Free Full Text]

52. Kannel WB, Wolf PA. Inference from secular trend analysis of hypertension control. Am J Public Health. 1992;82:1593–1595. Editorial comment.[Free Full Text]

53. Wolf PA, Kannel WB, McNamara PM, Gordan T. The role of impaired cardiac function in atheroembolic brain infarctions: the Framingham Study. Am J Public Health. 1973;63:52–58.[Free Full Text]

54. Howard G, Manolio TA, Burke GL, Wolfson SK, O'Leary DH. Does the association of risk factors and atherosclerosis change with age? An analysis of the combined ARIC and CHS cohorts. Stroke. 1997;28:1693–1701.[Abstract/Free Full Text]

55. Bonita R, Beaglehole R. The enigma of the decline in stroke deaths in the United States: the search for an explanation. Stroke. 1996;27:370–372.[Free Full Text]

56. Kannel WB, Wolf PA, Venter J, McNamara PM. Epidemiologic assessment of the role of blood pressure in stroke: the Framingham Study. JAMA. 1996;276:1269–1278.[Abstract/Free Full Text]

57. Wheeler FC, Lackland DT, Mace ML, Reddick A, Hogelin G, Remington PL. Evaluating South Carolina's community cardiovascular disease prevention project. Public Health Rep. 1991;106:536–544.[Medline] [Order article via Infotrieve]

58. Yamori Y, Nara Y, Mizushima S, Sawamura M, Horie R. Nutritional factors for stroke and major cardiovascular diseases: international epidemiological comparison of dietary prevention. Health Rep. 1994;6:22–27.[Medline] [Order article via Infotrieve]

59. Alturu BM, Altura BT. Magnesium and cardiovascular biology: an important link between cardiovascular risk factors and atherogenesis. Cell Mol Biol Res. 1995;41:347–359.[Medline] [Order article via Infotrieve]

60. Martyn CN, Barker DJ, Osmond C. Mothers' pelvic size, fetal growth, and death from stroke and coronary heart disease in men in the U.K. Lancet. 1996;348:1464–1468.[Medline] [Order article via Infotrieve]

61. Lackland DT, Berg PH, Keil JE, Baroody NB, Gazes PC, Jones FG, Saunders DE Jr. Racial differences in congestive heart failure (CHF) associated with acute myocardial infarction (AMI). J Heart Failure. 1995;2:249. Abstract.

62. Pickle LW, Mungiole M, Gillum RF. Geographic variation in stroke mortality in blacks and whites in the United States. Stroke. 1997;28:1639–1647.[Abstract/Free Full Text]

63. Wing S, Casper M, Davis WB, Pellon A, Riggan W, Tyroler HA. Stroke mortality maps: United States whites aged 35–74 years, 1962–1982. Stroke. 1988;19:1507–1513.[Abstract/Free Full Text]

64. Mason TJ, Fruumeni JF Jr, Hoover R, Blot WJ. An atlas of mortality from selected diseases. NIH Publication No. 81–2397. Washington, D. C. U. S. Government Printing Office; 1981.

65. Heyman A, Tyroler HA, Caussel JC, O'Fallon WM, Davis L, Muhlbaier L. Geographic differences in mortality from stroke in North Carolina, I: analysis of death certificates. Stroke. 1976;7:41–45.[Abstract/Free Full Text]

66. Sauer HI. The enigma of the Southeast: trace elements in environmental health. In: Hemphill DD, ed. Proceedings of University of Missouri 9th Annual Conference on Trace Substances in Environmental Health. Columbia, Missouri, 1975.

67. Wolf PA, D'Agostino RB, O'Neal MA, Sytkowski P, Kare CS, Belanger AJ, Kannel WB. Secular trends in stroke incidence and mortality: the Framingham Study. Stroke. 1993;23:1551–1555.[Abstract/Free Full Text]

68. Wolf PA, D'Agostino RB. Secular trends in stroke in the Framingham Study. Ann Epidemiol. 1993;3:471–475.[Medline] [Order article via Infotrieve]

69. Casper ML, Wing S, Anda RF, Escobedo LG, Taylor HA. The shifting stroke belt: changes in the geographic pattern of stroke mortality in the United States, 1962 to 1988. Stroke. 1995;26:755–760.[Abstract/Free Full Text]

70. Lanska DJ, Peterson PM. Effects of interstate migration on the geographic distribution of stroke mortality in the United States. Stroke. 1995;26:554–561.[Abstract/Free Full Text]

71. Lanska DJ, Peterson PM. Geographic variation in the decline of stroke mortality in the United States. Stroke. 1995;26:1159–1165.[Abstract/Free Full Text]

72. Shahar E, McGovern PG, Pankow JS, Doliszny KM, Smith MA, Blackburn H, Luepken RV. Stroke rates during the 1980s: the Minnesota Stroke Survey. Stroke. 1997;28:275–279.[Abstract/Free Full Text]




This article has been cited by other articles:


Home page
StrokeHome page
M. M. Glymour, M. Avendano, and L. F. Berkman
Is the 'Stroke Belt' Worn From Childhood?: Risk of First Stroke and State of Residence in Childhood and Adulthood
Stroke, September 1, 2007; 38(9): 2415 - 2421.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
C. D. Bushnell, P. Hurn, C. Colton, V. M. Miller, G. del Zoppo, M. S.V. Elkind, B. Stern, D. Herrington, G. Ford-Lynch, P. Gorelick, et al.
Advancing the Study of Stroke in Women: Summary and Recommendations for Future Research From an NINDS-Sponsored Multidisciplinary Working Group
Stroke, September 1, 2006; 37(9): 2387 - 2399.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
A. El-Saed, L. H. Kuller, A. B. Newman, O. Lopez, J. Costantino, K. McTigue, M. Cushman, and R. Kronmal
Geographic Variations in Stroke Incidence and Mortality Among Older Populations in Four US Communities
Stroke, August 1, 2006; 37(8): 1975 - 1979.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
D. J.P. Barker and D. T. Lackland
Prenatal Influences on Stroke Mortality in England and Wales
Stroke, July 1, 2003; 34(7): 1598 - 1602.
[Abstract] [Full Text] [PDF]


Home page
J. Neurol. Neurosurg. PsychiatryHome page
C D A Wolfe, A G Rudd, R Howard, C Coshall, J Stewart, E Lawrence, C Hajat, and T Hillen
Incidence and case fatality rates of stroke subtypes in a multiethnic population: the South London Stroke Register
J. Neurol. Neurosurg. Psychiatry, February 1, 2002; 72(2): 211 - 216.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
D. T. Lackland, B. M. Egan, H. E. Syddall, and D. J.P. Barker
Associations Between Birth Weight and Antihypertensive Medication in Black and White Medicaid Recipients
Hypertension, January 1, 2002; 39(1): 179 - 183.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
J. Fang, M. H. Alderman, and J. V. Tu
Trend of Stroke Hospitalization, United States, 1988-1997 Editorial Comment
Stroke, October 1, 2001; 32(10): 2221 - 2226.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
G. Engstrom, I. Jerntorp, H. Pessah-Rasmussen, B. Hedblad, G. Berglund, and L. Janzon
Geographic Distribution of Stroke Incidence Within an Urban Population : Relations to Socioeconomic Circumstances and Prevalence of Cardiovascular Risk Factors
Stroke, May 1, 2001; 32(5): 1098 - 1103.
[Abstract] [Full Text] [PDF]


Home page
Arch Intern MedHome page
D. T. Lackland, H. E. Bendall, C. Osmond, B. M. Egan, and D. J. P. Barker
Low Birth Weights Contribute to the High Rates of Early-Onset Chronic Renal Failure in the Southeastern United States
Arch Intern Med, May 22, 2000; 160(10): 1472 - 1476.
[Abstract] [Full Text] [PDF]


Home page
HypertensionHome page
D. T. Lackland, B. M. Egan, and P. J. Jones
Impact of Nativity and Race on "Stroke Belt" Mortality
Hypertension, July 1, 1999; 34(1): 57 - 62.
[Abstract] [Full Text] [PDF]


Home page
StrokeHome page
W. D. Rosamond, A. R. Folsom, L. E. Chambless, C.-H. Wang, P. G. McGovern, G. Howard, L. S. Copper, and E. Shahar
Stroke Incidence and Survival Among Middle-Aged Adults : 9-Year Follow-Up of the Atherosclerosis Risk in Communities (ARIC) Cohort
Stroke, April 1, 1999; 30(4): 736 - 743.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Lackland, D. T.
Right arrow Articles by Kohli, H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Lackland, D. T.
Right arrow Articles by Kohli, H.