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(Stroke. 2001;32:1098.)
© 2001 American Heart Association, Inc.
Original Contribution |
Geographic Distribution of Stroke Incidence Within an Urban Population
Relations to Socioeconomic Circumstances and Prevalence of Cardiovascular Risk Factors
From the Departments of Community Medicine (G.E., I.J., B.H., L.J.), Medicine (G.B.), and Neurology (H.P.-R.), Malmö University Hospital, Malmö, Sweden.
Correspondence to Gunnar Engström, MD, PhD, Department of Community Medicine, Malmö University Hospital, S-20502 Malmö, Sweden. E-mail gunnar.engstrom{at}smi.mas.lu.se
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Abstract |
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 Top Abstract IntroductionSubjects and MethodsResultsDiscussionReferences |
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Background and Purpose—Geographic differences in stroke incidence indicate a potential for prevention. The present study from the city of Malmö, Sweden, sought to investigate whether incidence of stroke in residential areas is related to prevalence of cardiovascular risk factors and socioeconomic circumstances.
Methods—The Stroke Register in Malmö, Sweden, was used for retrieval of the 3540 patients who suffered a first stroke between 1989 and 1998. The Malmö Diet and Cancer cohort (n=28 466) was used to assess area specific prevalence of hypertension, diabetes, smoking, and being overweight and for computation of a cardiovascular risk score. Socioeconomic circumstances for the 17 administrative areas were expressed in terms of a composite score.
Results—Standardized stroke incidence ranged among areas from 437 to 743 per 100 000 for men and from 223 to 518 per 100 000 for women. Socioeconomic score correlated significantly with area-specific stroke rates among men (r=-0.62, P=0.008) and women (r=-0.67, P=0.004). Incidence of stroke was significantly associated with cardiovascular risk score for each area (men, r=0.53, P<0.05; women, r=0.76, P<0.001). The cardiovascular score and the socioeconomic score together accounted for 44% of the geographic variance among men and 63% among women.
Conclusions—Marked differences occurred in stroke incidence among residential areas within this urban population. High-rate areas were characterized by a higher prevalence of smoking, hypertension, diabetes, and being overweight and by inferior socioeconomic circumstances. These risk factors accounted for a substantial proportion of the geographic variance in incidence of stroke.
Key Words: cigarette smoking • epidemiology • hypertension • social class
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Introduction |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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Differences in disease occurrence, in terms of time, place, and person, indicate potentials for prevention. Stroke incidence and stroke mortality show substantial geographic variations among and within countries.1 2 3 4 5 6 7 To evaluate the feasibility of preventive strategies, studies are needed to assess the extent to which patterns of disease can be accounted for by prevalences of known risk factors.
Studies of geographic patterns of stroke incidence involve methodological problems such as retrieval of nonhospitalized patients and validation of cases, and standardized conditions are important prerequisites for scientific validity.8 9 10 The city of Malmö in Sweden has about 250 000 inhabitants who live in 18 administrative areas. Stroke patients are referred to and treated at the university hospital, which is the only hospital that provides somatic care in the city. The Stroke Register in Malmö11 has systematically searched for and validated possible cases since 1989. Previous studies from the city have shown that the age-adjusted incidences of myocardial infarction in the residential areas, which range from 819 to 1453 per 100 000 men and from 160 to 531 per 100 000 women, are related to prevalence of smoking, hypertension, and obesity and to socioeconomic circumstances.12
The aim of the present study was to investigate whether incidences of stroke similarly show geographic differences in this urban population, and to assess to what extent occurrence of disease is associated with socioeconomic circumstances and prevalence of other major risk factors.
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Subjects and Methods |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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Stroke Register in Malmö
The Stroke Register in Malmö was established in 1989.11 The University Hospital is the only hospital for somatic disorders in the city. A specialized nurse from the stroke register (I.J.) has systematically searched for and registered patients with stroke at Malmö University Hospital. The research nurse has, together with a senior physician, validated the diagnosis through medical records and in most cases also through a patient interview. The criterion for stroke was rapid development of clinical signs of local or global loss of cerebral function lasting for >24 hours or leading to death at <24 hours, with no apparent cause other than cerebral ischemia or hemorrhage. By definition, patients with transient ischemic attacks were excluded. The criterion for stroke classified as subarachnoid hemorrhage or intracerebral hemorrhage was verification of the clinical picture at CT, lumbar puncture, or necropsy.11
The present study is limited to new patients, 50 to 79 years of age, during the period 1989 to 1998. The lower age limit was set at 50 years of age because few cases occurred below that age; the upper limit was based on a high proportion of patients living in nursing homes and hence supplying no information on area of living. A total of 134 (3.6%) patients who fulfilled the inclusion criteria were excluded because of missing information on area of living.
A total of 1925 male and 1615 female patients were included in the study. Of these, 106 (43 men, 63 women) had subarachnoid hemorrhage (ICD-9 code 430), 388 (217 men, 171 women) had intracerebral hemorrhage (ICD code 431), 2710 (1491 men, 1219 women) had cerebral infarction (ICD code 434), and 336 (174 men, 162 women) were registered to have had unspecified strokes (ICD code 436).11 13 CT scans were performed in 89% of cases. The proportion of nonhospitalized patients was 5.5%.
Residential Areas and Prevalence of Risk
Factors
Malmö’s 
250 000 citizens live in 18 areas that
exhibit substantial differences in terms of socioeconomic circumstances
and number of inhabitants14
(Table 1
). The harbor area (in which 1 stroke
occurred) was excluded from study because so few people lived there;
thus, a total of 17 areas were studied.
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The Malmö Diet and Cancer cohort was used to assess prevalence of smoking, hypertension, being overweight, and diabetes.15 This cohort was established between 1991 and 1996 and consists of 28 466 subjects (11 206 men and 17 260 women), 45 to 73 years old, from an eligible population of about 74 000 individuals. The participant rates in the different areas ranged from 30% to 55% for men and from 33% to 56% for women.
Smoking Habits, Hypertension, and Body Mass
Index
Smoking habits were assessed by a questionnaire.
Those who confirmed regular or occasional smoking were counted as
smokers. Participant height (in meters) and weight (in kilograms) were
measured. Being overweight was defined as body mass index 
28
kg/m2. Blood pressure was measured in each
subject twice in the right arm after 5 minutes of rest. Subjects who
had systolic blood pressure 160 mm Hg or
diastolic blood pressure 95 mm Hg and subjects who
reported treatment for hypertension were classified as
hypertensive.16
Diabetes
Information on self-reported treatment for diabetes
was available in 25 559 participants and on fasting blood glucose
levels in a random subsample of 5350 subjects. Subjects who reported
treatment for diabetes and subjects whose blood glucose level exceeded
6.7 mmol/L were considered to have diabetes. Information on
diabetes was missing in 7.4% of the
participants.
Cardiovascular Risk
Score
A risk score for fatal and nonfatal myocardial
infarction previously was developed and used to study the geographic
pattern of disease in
Malmö.12 This risk score
was also used in the present study to estimate the burden of
cardiovascular risk factors in each area. Risk
coefficients, which were derived from another cohort study in
Malmö,17 are based on
11 389 men (1172 events) and 8222 women (142 events), aged 45 to 61
years, who were followed for 13.5±5.0 years. Cox regression
analysis was used to calculate the age-adjusted risk
coefficients. Risk score was calculated as the exponential function of
the sum of the products of the logistic risk coefficients and the
risk factors. Logistic risk coefficients (±SE) for men were as
follows: smoking, 0.89 (±0.06); hypertension, 0.61 (±0.06); being
overweight, 0.25 (±0.07); and diabetes, 0.74 (±0.12). Logistic
coefficients (±SE) for women were for smoking, 1.59 (±0.18);
hypertension, 0.90 (±0.18); being overweight, 0.23 (±0.20); and
diabetes, 1.45 (±0.26). Mean risk scores for men and women from
different areas were calculated. Because some of the risk factors were
associated with higher relative risks for women than men (although from
a much lower absolute level), the mean cardiovascular
score was higher for women than men. However, the area-specific risk
scores for men and women were highly correlated
(r=0.87).
Socioeconomic Circumstances of Residential
Areas
Socioeconomic profile of the areas is based on
official statistics from the Malmö City Council and data from
Statistics Sweden.14 A
socioeconomic score for each area was calculated from 4 variables:
migration rate, percentage of residents with foreign citizenship as a
proportion of all citizens with foreign background, dependency of
social welfare support (with negative signs), and employment rate (with
positive sign). These 4 parameters were selected to reflect
different aspects of socioeconomic deprivation in Sweden
today. The socioeconomic score correlates with other well-known
measures of social status; eg, mean income
(r=0.81) and unemployment rate
(r=-0.91). The socioeconomic
score has in several previous studies been associated with pattern of
disease (eg, with incidence
of12 and long-term survival
after myocardial
infarction18 ).
Statistics
Area-specific prevalences of risk factors were
adjusted for age by direct standardization with the equivalent average
rate method.12 19
Standardization was based on 10-year groups. Annual incidence of stroke
between 1989 and 1998 among men and women was similarly
age-standardized with the equivalent average rate method. Associations
between prevalence of cardiovascular risk factors and
stroke incidence, respectively, and the socioeconomic circumstances of
the areas were assessed by means of least-squares regressions weighted
for participant rates and number of participants in the Malmö Diet
and Cancer cohort.... Association between socioeconomic
score and incidence of stroke was weighted for respective number of men
and women between 50 and 79 years of age living in each
area.
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Results |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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Incidence of Stroke
Age-standardized annual rates (per 100 000) ranged among residential areas from 437 to 743 among men and from 223 to 518 among women (Table 1
). Area-specific age-standardized stroke rates for
men correlated with those for women
(r=0.85,
P<0.001).
Prevalence of Cardiovascular
Risk Factors
Age-adjusted prevalence of smoking, hypertension, being
overweight, and diabetes showed substantial differences among areas
(Table 2). These risk factors were more prevalent in
areas with a low socioeconomic score. Socioeconomic score was inversely
correlated with prevalence of smoking (men,
r=-0.66,
P<0.01; women,
r=-0.68,
P<0.01), hypertension (men,
r=-0.44,
P=0.08; women,
r=-0.51,
P<0.05), being overweight
(men, r=-0.61,
P<0.01; women,
r=-0.55,
P<0.05), and diabetes (men,
r=-0.42,
P=0.10, women,
r=-0.62,
P<0.01) and with the
cardiovascular risk score (men,
r=-0.72,
P=0.001; women,
r=-0.73,
P=0.001).
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Stroke Incidence and Socioeconomic
Circumstances
Incidence of stroke was significantly higher among men
and women from socioeconomically depressed areas
(Tables 1 and 3 and Figure 1). The weighted correlation coefficient
between the socioeconomic score and stroke incidence in the 17 areas
was r=-0.62 (P=0.008) for men and
r=-0.67 (P=0.004) for women. Results
were similar when only patients with cerebral infarction were included
(men, r=-0.55, P=0.02; women, r=-0.63,
P=0.006).
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) in relation to socioeconomic
circumstances of 17 residential areas (men,
r=-0.62,
P<0.01; women,
r=-0.67,
P<0.01).
Stroke Incidence and Prevalence of
Cardiovascular Risk Factors
Correlations between incidence of stroke and prevalence
of cardiovascular risk factors are presented in
Table 3 and
Figures 2 and 3. Area-specific incidence of stroke
among women was significantly associated with prevalence of
hypertension, smoking, and diabetes and with the cardiovascular risk score (all
r>0.55, P<0.05). Smoking
(r=0.54, P<0.05) and the
cardiovascular risk score (r=0.53,
P<0.05) were significantly
associated with area-specific stroke rates for men
(Table 3). The proportion of all hypertensive men and women
who had received treatment for hypertension was higher (although not
significantly) in areas with high incidence of stroke (men,
r=0.43; women,
r=0.48). When analysis
was restricted to patients with cerebral infarction, correlation
between the cardiovascular score and stroke incidence
was 0.46 (P=0.06) for men and
0.75 (P=0.001) for
women.
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Cardiovascular Risk Factors and
Socioeconomic Circumstances in Relation to Stroke
The cardiovascular risk score accounted
for 28%
(r2=0.28)
of the geographic variance in stroke incidence among men and 58%
(r2=0.58)
of the variance among women. Corresponding values for socioeconomic
score were 39% and 44% for men and women, respectively. When both
socioeconomic and cardiovascular scores were entered
into the regression model, the explained variance increased to 44% for
men and 63% for women.
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Discussion |
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TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
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Geographic differences in stroke incidence have been reported by others.1 2 3 4 5 6 7 The extent to which patterns of disease can be explained by socioeconomic circumstances and prevalence of risk factors has received less scientific attention. In a study from the People’s Republic of China, >70% of the geographic variance in stroke incidence could be accounted for by differences in prevalence of hypertension.3 Smoking and hypertension accounted for 21% of the variance in stroke incidence among men and 42% of the variance among women in a study based on the MONICA populations.1 Correlations between stroke mortality and prevalences of cardiovascular risk factors have been reported in a study from 4 countries around the Baltic Sea2 and in a study of stroke mortality in 35 populations from the MONICA project.4 Inferior socioeconomic circumstances have been associated with increased stroke mortality in cohort studies20 21 and in studies of the geographic distribution of stroke.22 23 Intraurban distributions of stroke have received little scientific attention. Marked geographic differences occurred in stroke incidence within this urban population, and a substantial proportion of the variance could be accounted for by differences in prevalence of risk factors.
Inferior socioeconomic circumstances, expressed in terms of a composite score, were significantly associated with an increased incidence of stroke among both men and women. The socioeconomic score is a measure of the average circumstances in a residential area. The true nature of this relationship (eg, whether it reflects differences between affluent and deprived areas with regard to early detection of risk individuals or effects of inferior socioeconomic circumstances on individual susceptibility) remains to be evaluated. A statistically significant association existed between socioeconomic circumstances for each area and prevalence of cardiovascular risk factors. Others have reported inverse relationships between socioeconomic circumstances and blood pressure, especially among women, and have suggested that this could be related to the associations with female obesity.24 Treatment of hypertension is another factor that could be related to socioeconomic circumstances. Previous studies of the relationship between treatment for hypertension and socioeconomic deprivation are not consistent.24 Primary care in the city of Malmö, which is organized by the community and provided at low cost, is similar for all areas. The proportion of all hypertensive subjects receiving treatment was, if anything, higher in areas with high rates of stroke, and, hence, that the associations were confounded by differences with regard to prescription of antihypertensive treatment seems unlikely. To what extent compliance with treatment could be better in privileged areas remains to be evaluated.
Some methodological issues need to be considered. Each case was validated by the same experienced nurse from the Stroke Register who every day visited hospital units that treat stroke patients. Other hospital units were visited regularly. Methods for retrieval of cases remained unchanged during the study period. The proportion of nonhospitalized cases was 5.5%, which is similar to that in other Swedish studies.25 Because patients from all residential areas can reach the university hospital within 15 minutes and no referral note is needed for patients with acute somatic disorders, the availability of the hospital could be regarded to be similar for patients from all areas. A review of autopsy protocols of sudden deaths in Malmö in 1989 to 1990, 2 years during which almost all deaths outside hospital were autopsied, showed that <1% of all incident strokes (7 patients of differing ages) died before they reached hospital (H.P.-R., unpublished data, 2000). With these circumstances in mind, we consider it unlikely that biased retrieval and validation of cases could have confounded the geographic pattern of disease. Furthermore, considering the number of patients and the long period of observation (10 years), we concluded that the area-specific incidences have been estimated with adequate precision.
Prevalence of risk factors was assessed in a large, population-based cohort (n=28 466) examined between 1991 and 1996. Although this cohort was somewhat younger (45 to 73 years) than the 50- to 79-year-old stroke patients in the present study, with regard to time period and age group, good correspondence is seen between the risk factor cohort and stroke patients. An important question is whether the prevalence of risk factors could have been confounded by selection bias. Prevalence of smoking and being overweight was very similar to those from questionnaire-based surveys in which the response rates have been around 75%.26 Participation rates in the present study were higher in socioeconomically privileged areas. However, as long as the nonattendance rate for risk factor–exposed individuals from privileged areas is not much higher than for exposed individuals from deprived areas, this could not explain our results. Differences between the areas in participation rates and size of population have been taken into account in the analysis. Repeated surveys indicate that differences in prevalence of cardiovascular risk factors between areas have remained unchanged over time.26 Other studies from the city similarly show that exposure to cardiovascular risk factors varies between groups defined in terms of sociodemographic circumstances.27
Marked differences occurred in stroke incidence between residential areas within this urban population. High-rate areas were characterized by a higher prevalence of smoking, hypertension, diabetes, and being overweight and by inferior socioeconomic circumstances. These risk factors accounted for 44% of the stroke variance among men and 63% among women.
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Acknowledgments |
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The present study was supported by grants from the Swedish Council for Social Research and the Vårdal Foundation.
Received November 13, 2000; revision received December 8, 2000; accepted January 12, 2001.
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References |
|---|
|
TopAbstractIntroductionSubjects and MethodsResultsDiscussionReferences |
|---|
1. Stegmayr B, Asplund K, Kuulasmaa K, Rajakangas AM, Thorvaldsen P, Tuomilehto J. Stroke incidence and mortality correlated to stroke risk factors in the WHO MONICA Project: an ecological study of 18 populations. Stroke. 1997;28:1367–1374.
2. Stegmayr B, Harmsen P, Rajakangas AM, Rastenyte D, Sarti C, Thorvaldsen P, Tuomilehto J. Stroke around the Baltic sea: incidence, case fatality and population risk factors in Denmark, Finland, Sweden and Lithuania. Cerebrovasc Dis. 1996;6:80–88.
3.
He J, Klag MJ, Wu
Z, Whelton PK. Stroke in the People’s Republic of China: geographic
variations in incidence and risk factors.
Stroke. 1995;26:2222–2227.
4.
Stewart AW,
Kuulasmaa K, Beaglehole R, for the WHO MONICA Project. Ecological
analysis of the association between mortality and major risk
factors of cardiovascular disease.
Int J Epidemiol. 1994;23:505–516.
5.
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.
6.
Casper ML, Wing S,
Anda RF, Knowles M, Pollard RA. The shifting stroke belt: changes in
the geographic pattern of stroke mortality in the United States, 1962
to 1988. Stroke. 1995;26:755–760.
7.
Lackland DT,
Bachman DL, Carter TD, Barker DL, Timms S, Kohli H. The geographic
variation in stroke incidence in two areas of the southeastern stroke
belt: the Andersson and Pee Dee Stroke Study.
Stroke. 1998;29:2061–2068.
8. Malmgren R, Warlow C, Bamford J, Sandercock P. Geographical and secular trends in stroke incidence. Lancet. 1987;2:1196–1200.[Medline] [Order article via Infotrieve]
9.
Sudlow CL, Warlow
CP. Comparing stroke incidence worldwide: what makes studies
comparable? Stroke. 1996;27:550–558.
10. Alter M, Zhang ZX, Sobel E, Fisher M, Davanipour Z, Friday G. Standardized incidence ratios of stroke: a worldwide review. Neuroepidemiology. 1986;5:148–158.[Medline] [Order article via Infotrieve]
11.
Jerntorp P,
Berglund G. Stroke registry in Malmö, Sweden.
Stroke. 1992;23:357–361.
12. Engström G, Berglund G, Göransson M, Hansen O, Hedblad B, Merlo J, Tyden P, Janzon L. Distribution and determinants of ischaemic heart disease in an urban population: a study from the myocardial infarction register in Malmö, Sweden. J Intern Med. 2000;247:588–596.[Medline] [Order article via Infotrieve]
13. World Health Organization. International Classification of Diseases. 9th revision (ICD-9). Geneva, Switzerland: World Health Organization; 1977.
14. Malmö City Council. Facts From the Residential Areas of Malmö [Områdesfakta för Malmö] [in Swedish]. Malmö, Sweden: The Unit of Planning and Statistics, Malmö City Council; 1992.
15. Berglund G, Elmståhl S, Janzon L, Larsson SA. Design and feasibility. J Intern Med. 1993;233:45–51.[Medline] [Order article via Infotrieve]
16. WHO guidelines for the treatment of mild hypertension: memorandum from a WHO/IHS meeting. J Hypertens. 1986:4:383–386.
17. Berglund G, Nilsson P, Eriksson KF, Nilsson JÅ, Hedblad B, Kristenson H, Lindgärde F. Long-term outcome of the Malmö preventive project: mortality and cardiovascular morbidity. J Intern Med. 2000;247:19–29.[Medline] [Order article via Infotrieve]
18. Engström G, Göransson M, Hansen O, Hedblad B, Tydén P, Tödt T, Janzon L. Trends in long-term survival after myocardial infarction: less favourable patterns for patients from deprived areas. J Intern Med. 2000;248:425–434.[Medline] [Order article via Infotrieve]
19. Merlo J, Ranstam J, Råstam L, Wessling A, Melander A. Age standardisation of drug utilisation: comparisons of different methods using cardiovascular data from Sweden and Spain. Eur J Clin Pharmacology. 1994;46:393–398.[Medline] [Order article via Infotrieve]
20.
Kunst AE, del
Rios M, Groenhof F, Mackenbach JP. Socioeconomic inequalities in stroke
mortality among middle-aged men: an international overview: European
Union Working Group on Socioeconomic Inequalities in
Health. Stroke. 1998;29:2285–2291.
21.
van Rossum CT,
van de Mheen H, Breteler MM, Grobbee DE, Mackenbach JP.
Socioeconomic differences in stroke among Dutch elderly women: the
Rotterdam Study. Stroke. 1999;30:357–362.
22.
Franks PJ,
Adamson C, Bulpitt PF, Bulpitt CJ. Stroke death and unemployment in
London. J Epidemiol Community
Health. 1991;45:16–18.
23.
Maheswaran R,
Elliott P, Strachan DP. Socioeconomic deprivation,
ethnicity, and stroke mortality in Greater London and south east
England. J Epidemiol Community
Health. 1997;51:127–131.
24. Colhoun HM, Hemingway H, Poulter NR. Socio-economic status and blood pressure: an overview analysis. J Hum Hypertens. 1998;12:91–110.[Medline] [Order article via Infotrieve]
25. Stegmayr B, Asplund K. Measuring stroke in the population: quality of routine statistics in comparison with a population-based stroke registry. Neuroepidemiology. 1992;11:204–213.[Medline] [Order article via Infotrieve]
26. Lindström M, Bexell A, Hanson BS, Isacsson SO. The Health Situation in Malmö: Report From a Mailed Questionnaire Survey [in Swedish]. Malmö, Sweden: Department of Community Medicine, Malmö University Hospital; 1994.
27.
Engström G,
Tydén P, Berglund G, Hansen O, Hedblad B, Janzon L. Incidence of
myocardial infarction in women: a cohort study of risk factors and
markers of exposure. J Epidemiol Community
Health. 2000;54:104–107.
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A. Di Carlo, M. Lamassa, M. Baldereschi, G. Pracucci, A. M. Basile, C. D.A. Wolfe, M. Giroud, A. Rudd, A. Ghetti, and D. Inzitari Sex Differences in the Clinical Presentation, Resource Use, and 3-Month Outcome of Acute Stroke in Europe: Data From a Multicenter Multinational Hospital-Based Registry Stroke, May 1, 2003; 34(5): 1114 - 1119. [Abstract] [Full Text] [PDF]
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T. Truelsen, N. Nielsen, G. Boysen, and M. Gronbaek Self-Reported Stress and Risk of Stroke: The Copenhagen City Heart Study Stroke, April 1, 2003; 34(4): 856 - 862. [Abstract] [Full Text] [PDF]
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H. Pessah-Rasmussen, G. Engstrom, I. Jerntorp, and L. Janzon Increasing Stroke Incidence and Decreasing Case Fatality, 1989-1998: A Study From the Stroke Register in Malmo, Sweden Stroke, April 1, 2003; 34(4): 913 - 918. [Abstract] [Full Text] [PDF]
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 G. Engstrom, L. Stavenow, B. Hedblad, P. Lind, K.-F. Eriksson, L. Janzon, and F. Lindgarde Inflammation-Sensitive Plasma Proteins, Diabetes, and Mortality and Incidence of Myocardial Infarction and Stroke: A Population-Based Study Diabetes, February 1, 2003; 52(2): 442 - 447. [Abstract] [Full Text] [PDF]
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G. Engstrom, P. Lind, B. Hedblad, L. Stavenow, L. Janzon, and F. Lindgarde Long-Term Effects of Inflammation-Sensitive Plasma Proteins and Systolic Blood Pressure on Incidence of Stroke Stroke, December 1, 2002; 33(12): 2744 - 2749. [Abstract] [Full Text] [PDF]
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 P Tyden, O Hansen, G Engstrom, B Hedblad, and L Janzon Myocardial infarction in an urban population: worse long term prognosis for patients from less affluent residential areas J Epidemiol Community Health, October 1, 2002; 56(10): 785 - 790. [Abstract] [Full Text] [PDF]
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 G. Engstrom, P. Lind, B. Hedblad, L. Stavenow, L. Janzon, and F. Lindgarde Effects of Cholesterol and Inflammation-Sensitive Plasma Proteins on Incidence of Myocardial Infarction and Stroke in Men Circulation, June 4, 2002; 105(22): 2632 - 2637. [Abstract] [Full Text] [PDF]
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