Differences In Distribution Of Risk Factors Research Articles

Recent advances in oesophageal diseases.

Recent advances in oesophageal diseases.

A Study Design to Evaluate Association between Smoking and Intracranial Atherosclerotic Stenosis.

PurposeSmoking is a well known risk factor for stroke. The cerebral arteries may be uniquely susceptible to the atherosclerotic effects of smoking, such that it has a different risk profile for stroke compared with other atherosclerosis risk factors. It remains uncertain whether smoking is associated specifically with intracranial (IC) or extracranial (EC) atherosclerotic cerebrovascular disease. The aim of this study design will be to evaluate the association between smoking and severe IC stenosis, adjusting for other atherosclerosis risk factors, particularly age distribution.Study designThis is a retrospective cohort study design. Participants are patients (n=1714) with severe atherosclerotic stenosis undergoing cerebral catheter angiography because of stroke or transient ischaemic attack. All atherosclerotic steno-occlusive lesions are described in terms of location (anterior versus posterior circulation, IC versus EC, or intradural versus extradural). The atherosclerotic or stroke risk factors for analysis include age, gender, smoking history, number of lesions (single versus multiple), cardiac disease, diabetes mellitus, hypertension, family history, dyslipidemia, history of previous stroke, alcohol intake, metabolic syndrome and body mass index. Statistical analysis includes univariate analysis followed by multivariate logistic regression. The relationship between IC atherosclerotic stenosis and smoking will be assessed. Differences in risk factor distribution is analysed according to age at intervals of 10 years. Significant risk factors associated with IC atherosclerotic stenosis will also be assessed by multivariate logistic regression analysis.SummaryThis is an analytical study design that intends to measure the association between IC or EC atherosclerotic stenosis and smoking and other risk factors. We anticipate that it will have the power to detect any relationship between smoking and IC atherosclerotic lesions especially in younger patients.

The Impact of Age on the Epidemiology of Atrial Fibrillation Hospitalizations

BackgroundGiven that 4 million individuals in the United States have atrial fibrillation, understanding the epidemiology of this disease is crucial. We sought to identify and characterize the impact of age on national atrial fibrillation hospitalization patterns. MethodsThe study sample was drawn from the 2009-2010 Nationwide Inpatient Sample. Patients hospitalized with a principal International Classification of Diseases, 9th Revision discharge diagnosis of atrial fibrillation were included. Patients were categorized as “older” (≥65 years) or “younger” (<65 years) for the purposes of analysis. The outcomes measured included hospitalization rate, length of stay, in-hospital mortality, and discharge status. ResultsWe identified 192,846 atrial fibrillation hospitalizations. There was significant geographic variation in hospitalizations for both younger and older age groups. States with high hospitalizations differed from those states known to have high stroke mortality. Younger patients (33% of the sample) were more likely to be obese (21% vs 8%, P < .001) and to use alcohol (8% vs 2%, P < .001). Older patients were more likely to have kidney disease (14% vs 7%, P < .001). Both age groups had high rates of hypertension and diabetes. Older patients had higher in-hospital mortality and were more likely to be discharged to a nursing or intermediate care facility. ConclusionsYounger patients account for a substantial minority of atrial fibrillation hospitalizations in contemporary practice. Younger patients are healthier, with a different distribution of risk factors, than older patients who have higher associated morbidity and mortality.

Central line associated bloodstream infections in cohort of abdominal surgical patients

INTRODUCTION: Central venous catheter (CVC) placement is an unavoidable part of the everyday medical practice. At the same time CVC application is associated with high risk of development of central line-associated bloodstream infections (CLABSIs). These infections are cause of icreased morbidity and mortality rates as well as higer costs of the inpatient treatment2. Risk factors for onset of CLABSIs include duration of catheterization, length of hospital stay before catheterization, anatomic site of placement, CVC placement at the intensive care units (ICU), parenteral nutrition (PN) and ommisions diring CVC placement, use and care. CLABSI incidence rates vary depending on distribution of different risk factors associated with CVC and patient him/herself. The most significant causative organisms of CLABSIs are coagulase-negative Staphylococcocae, Staphylococcus aureus (S.aures), Enterococcus spp. i Candida spp. CLABSIs prevention measures include compliance with the rules of the aseptic technique upon placement, use and care of CVCs, which, based on the study results, may enable prevention of 65% to 70% of cases of CLABSIs. METHODS: A prospective cohort study included 200 patients hospitalized at the intensive care and therapy units of the CCS Clinic of Digestive Surgery in the period November 30th, 2006-November 31st, 2007 in whom CVC was placed for more than 48 hours. All the data necessary for the study were obtained based on the review of the case histories and they were recorded into the individual questionnaires for each patient. The questionnarire included patient information (age, gender, underlying disease, presence of other infections), information related to diagnostic and therapeutic procedures to which the patient was exposed. The incidence of CRBSIs in ICU patients, Institute of Digestive Diseases, CCS over the study period was 10.08 per 1,000 catheter-days. During the study CLABSI more often present in the females. Additionally, application of albumin and amino acids, ICU stay longer that 7 days and CVC application longer than 15 days, significantly more often present in patients with CRBSIs than in the group of patients without CRBSIs. Independent factors for development of CRBSI are gender, administration of albumin and amino acids. The most common microorganisms isolated from hemocultures and CVC were S. aureus and Klebsiella spp., with 31,8% of isolates each. Statistically significant difference was evidenced in frequency of resistance of S. aureus isolates to methicillin in the group of patients with CRBSI in comparison to the group of patients without CLABSIs. CLABSIs prevention measurs include compliance with the rules of the aseptic technique upon placement, use and care of CVCs.

Risk prediction models of breast cancer: a systematic review of model performances

The number of risk prediction models has been increasingly developed, for estimating about breast cancer in individual women. However, those model performances are questionable. We therefore have conducted a study with the aim to systematically review previous risk prediction models. The results from this review help to identify the most reliable model and indicate the strengths and weaknesses of each model for guiding future model development. We searched MEDLINE (PubMed) from 1949 and EMBASE (Ovid) from 1974 until October 2010. Observational studies which constructed models using regression methods were selected. Information about model development and performance were extracted. Twenty-five out of 453 studies were eligible. Of these, 18 developed prediction models and 7 validated existing prediction models. Up to 13 variables were included in the models and sample sizes for each study ranged from 550 to 2,404,636. Internal validation was performed in four models, while five models had external validation. Gail and Rosner and Colditz models were the significant models which were subsequently modified by other scholars. Calibration performance of most models was fair to good (expected/observe ratio: 0.87-1.12), but discriminatory accuracy was poor to fair both in internal validation (concordance statistics: 0.53-0.66) and in external validation (concordance statistics: 0.56-0.63). Most models yielded relatively poor discrimination in both internal and external validation. This poor discriminatory accuracy of existing models might be because of a lack of knowledge about risk factors, heterogeneous subtypes of breast cancer, and different distributions of risk factors across populations. In addition the concordance statistic itself is insensitive to measure the improvement of discrimination. Therefore, the new method such as net reclassification index should be considered to evaluate the improvement of the performance of a new develop model.

Social, behavioral, and biological factors, and sex differences in mortality.

Few studies have examined whether sex differences in mortality are associated with different distributions of risk factors or result from the unique relationships between risk factors and mortality for men and women. We extend previous research by systematically testing a variety offactors, including health behaviors, social ties, socioeconomic status, and biological indicators of health. We employ the National Health and Nutritional Examination Survey III Linked Mortality File and use Cox proportional hazards models to examine sex diferences in adult mortality in the United States. Our findings document that social and behavioral characteristics are key factors related to the sex gap in mortality. Once we controlfor women's lower levels of marriage, poverty, and exercise, the sex gap in mortality widens; and once we control for women 's greater propensity to visit with friends and relatives, attend religious services, and abstain from smoking, the sex gap in mortality narrows. Biological factors-including indicators of inflammation and cardiovascular risk-also inform sex differences in mortality. Nevertheless, persistent sex differences in mortality remain: compared with women, men have 30% to 83% higher risks of death over the follow-up period, depending on the covariates included in the model. Although the prevalence of risk factors difers by sex, the impact of those risk factors on mortality is similar for men and women.

Overall Survival (OS) Benefit of Rituximab Based Immunochemotherapy Followed by Post-Induction Treatment in Mantle Cell Lymphoma (MCL): a Retrospective Analysis of 279 Patients Treated by Polish Lymphoma Research Group (PLRG) Centers.

Abstract 1702Poster Board I-728 BackgroundASCT consolidation in the first remission is the treatment of choice in MCL patients. However lack of adequate response to the first line therapy, elderly age and co-existing co-morbidities makes it feasible for less than a third of patients. MethodsRetrospective analysis of 279 MCL cases treated at 10 PLRG centers was performed: 52% of them (144 pts) received Rituximab in induction therapy; 35% (97 pts) were subjected to post-induction therapy (ASTC – 16%, radioimmunotherapy consolidation – 13% and Rituximab maintenance – 6%). There were no significant differences in risk factor distribution among analyzed subgroups. Results1) At 5 years OS was 40% in the whole group: 77% for those subjected to post-induction therapy vs 25% for those who were not; 5 year PFS is 20%, 48% and 5% respectively (p<0,0001, in both comparisons).2) Pts with initial good response, whose treatment was NOT continued after induction, had inferior results (5 year OS and PFS – 30 and 10 % respectively) to those subjected to post-induction therapy (p<0,0001).3) Rituximab included in the first line regimens increased RR, increasing % of pts that could be subjected to post-induction therapy: progression/ death during the first line therapy were 5,5% (8/144 Rituximab treated pts) as compared to 15,5% (21/135 treated without Rituximab). ConclusionsWith all limitations of retrospective analysis, it strongly supports the necessity of Rituximab immunochemotherapy followed by post induction treatment in MCL pts. The role of ASCT is established in younger patients, radioimmunotherapy consolidation or Rituximab maintenance should be considered in elderly and unfit ones. [Display omitted] DisclosuresNo relevant conflicts of interest to declare.

Predicting risk of developing invasive breast cancer in the African American female population

11080 Background: African Americans (AA) have a lower incidence of breast cancer with a poorer prognosis than Caucasians. It is unclear whether AA women have fewer known risk factors for breast cancer or that risk factors have a lesser effect in AA. We evaluated the accuracy of the race-based modification Gail Model in predicting the risk of developing invasive breast cancer in the AA population. Methods: With IRB approval, we performed a retrospective analysis of data obtained from women (n=15,973) ages 40–79 presenting to our Breast Center(5/2003 to 7/2005) for a screening mammogram. The five-year probability of breast cancer for AA (n=702) versus Caucasians (n=15,721) was calculated for each individual using 3 methods: 1) the race specific Gail model, 2) the Gail model ignoring race (AA using the Caucasian model), and 3) age and race matched SEER projection using DevCan (v6.1.1) software. Results: There was no significant difference between the 5-year probability of breast cancer for Caucasians as calculated by the Gail model vs. the SEER prediction (p=NS), suggesting our population was representative of the larger study population from which SEER data was derived. As compared to SEER prediction, the modified Gail model underestimated the breast cancer risk for all age groups of AA (p&lt;0.0001). When the Gail Model without the race-based modification was applied to the AA population, the projected risk was not significantly different from the SEER prediction (p=0.1049). Conclusions: This study suggests that the race-based modification of the Gail Model underestimate the risk of breast cancer in AA women. When the model is applied to AA women without incorporating the modification for race, the Gail model accurately reflects SEER 5-year projections of risk of invasive cancer in AA women. Differences in risk factor distribution among race, rather than a differential effect of those factors on risk, may have a substantial role in explaining the lower incidence in AA women as compared to Caucasian women over 40. [Table: see text] No significant financial relationships to disclose.

Known Risk Factors Do Not Explain Disparities in Gallstone Prevalence Between Denmark and Northeast Germany

Gallstones are a common disease worldwide, with disparities in the prevalence of the disease in different settings. The aim of the present study was to assess if different distributions of risk factors could explain the disparities in the prevalence of gallstone disease between Denmark and northeast Germany. Data of 5,559 subjects from the Danish MONICA survey and of 3,647 subjects of the German Study of Health in Pomerania were investigated. Gallstone disease was defined as a prior history of cholecystectomy or the presence of sonographically diagnosed gallstones. Logistic regression models were performed to assess the confounding effect of selected risk factors on regional disparities in gallstone disease. After adjustment for age and vocational training, German subjects (women: Odds ratio, OR, 2.46 (95% confidence interval, CI: 2.07-2.91); men: OR, 1.89 (95% CI: 1.52-2.36)) had approximatively twice the odds of gallstones than Danes. Inclusion of lifestyle factors (smoking, alcohol intake, coffee use) did not affect this result, whereas adjustment for body mass index (BMI), lipids, diabetes, and use of oral contraceptives, menopausal hormone therapy (MHT) and parity (women only) changed the estimates considerable, but still Germans (women: OR, 1.65 (95% CI: 1.36-2.00); men: OR, 1.61 (95% CI: 1.27-2.04)) had higher odds than Danes. German individuals had a higher prevalence of gallstones than Danes. This difference was partly explained by a higher BMI, unfavorable lipid levels, higher prevalence of diabetes, and a more frequent use of OR and MHT in German subjects. Further research is needed to evaluate the impact of unmeasured predictors, including genetic components, on the population-related risk of gallstones.

Risk factors for myocardial infarction in women and men: insights from the INTERHEART study

Coronary heart disease (CHD) is a leading cause of death among men and women globally. Women develop CHD about 10 years later than men, yet the reasons for this are unclear. The purpose of this report is to determine if differences in risk factor distributions exist between women and men across various age categories to help explain why women develop acute MI later than men. We used the INTERHEART global case-control study including 27 098 participants from 52 countries, 6787 of whom were women. The median age of first acute MI was higher in women than men (65 vs. 56 years; P < 0.0001). Nine modifiable risk factors were associated with MI in women and men. Hypertension [2.95(2.66 -3.28) vs. 2.32(2.16-2.48)], diabetes [4.26(3.68-4.94) vs. 2.67(2.43-2.94), physical activity [0.48(0.41-0.57) vs. 0.77(0.71-0.83)], and moderate alcohol use [0.41(0.34-0.50) vs. 0.88(0.82-0.94)] were more strongly associated with MI among women than men. The association of abnormal lipids, current smoking, abdominal obesity, high risk diet, and psychosocial stress factors with MI was similar in women and men. Risk factors associations were generally stronger among younger individuals compared to older women and men. The population attributable risk (PAR) of all nine risk factors exceeded 94%, and was similar among women and men (96 vs. 93%). Men were significantly more likely to suffer a MI prior to 60 years of age than were women, however, after adjusting for levels of risk factors, the sex difference in the probability of MI cases occurring before the age of 60 years was reduced by more than 80%. Women experience their first acute MI on average 9 years later than men. Nine modifiable risk factors are significantly associated with acute MI in both men and women and explain greater than 90% of the PAR. The difference in age of first MI is largely explained by the higher risk factor levels at younger ages in men compared to women.

Particularities of peripheral arterial disease managed in vascular surgery in the French West Indies

Epidemiology of peripheral arterial disease is currently unknown in French West Indies (Antilles). The aim of this study is to present peripheral arterial disease (PAD) occurring in the French West Indian subjects through the analysis of our database of vascular surgery. The study population included 754 patients (mean age 73 +/- 10 years), mostly from African descents. The main clinical presentation was critical limb ischemia (66%, including tissue loss in 48% of cases), followed by claudication (20%). The lesions affected the infragenicular arteries in 86% of cases, including 24% isolated to this level as well as 51% combined to femoro-popliteal lesions and only 7% of cases affecting the aorto-iliac level. Ankle-brachial index was at 0.57 +/- 0.13 and 0.34 +/- 0.22 (p<0.001) in patients with claudication and critical limb ischemia (CLI), respectively. The severity scores were significantly higher in claudicants with aorto-iliac disease and CLI patients with infragenicular lesions. Except for hypertension (85%) and obesity (19%), the other risk factors were differently distributed between the 2 groups. While in the CLI group, patients were older, with higher rates of female sex, diabetes (62% vs. 48%, p<0.001) and severe renal failure, claudicants were significantly younger, with higher rates of smokers among men (75% vs. 51%, p<0.001) and moderate dyslipidemia (52% vs. 36%, p<0.001). The association with carotid stenosis (12%) and ischemic heart disease (18%) were quite uncommon. Renal disease (glomerular filtration rate<60 ml/mn/1.73 m2) was present in 61% of cases. This study highlights clear differences regarding the presentation, localization and associations of PAD in the West Indies subjects managed in vascular surgery, especially with a severe infragenicular disease, even in claudicants. This study suggests the effect of a different distribution of risk factors as well as other ethnic and socio-economic factors.

Risk factors for cardiovascular disease in the Ga-Rankuwa community

Cardiovascular disease is the most common and yet one of the most preventable causes of death in the world. Rapid urbanization in South Africa is accompanied by rapid changes in lifestyle and environmental exposure that increase the burden of chronic cardiovascular diseases. Risk factors, modifiable or nonmodifiable, exist that increases a person's chances of developing cardiovascular disease. Though some knowledge is available about the prevalence of the risk factors in South Africa, no information is available regarding the community of Ga-Rankuwa. The purpose of the study was therefore to investigate the prevalence of risk factors for cardiovascular disease amongst the working-age people (18-40 years) in Ga-Rankuwa community. A quantitative survey was done and the sample was selected from zone 1, 2, 4, and 16 of Ga-Rankuwa from July 2005 to October 2005. The sampling method was census sampling (n=604). The data-gathering was self-report using a structured questionnaire as well as physical measurement. Data were analysed using descriptive statistics. The results indicated that risk factors, specifically obesity, physical inactivity and hypertension, were very prevalent in Ga-Rankuwa community. Different distributions of risk factors exist in the various sex and age groups. This finding again emphasises the importance of not developing health interventions with a single focus, for example hypertension or obesity. The risk factors are interwoven and affect each other. It is important to initiate a comprehensive health project to lower the risk factors of cardiovascular diease in the Ga-Rankuwa community.

Comparison Bias and Dilution Effect in Occupational Cohort Studies

Health effects of occupational exposures are frequently evaluated by comparing the mortality of a whole cohort of workers with that of the general population. This study design may be affected by two major biases: a dilution effect (DE), due to the inclusion of unexposed subjects in the study cohort, and a comparison bias (CB), due to the different distribution of risk factors in the reference population. A theoretical model of the joint effect of DE and CB is proposed. Their impact was evaluated in two actual cohorts, selecting specific causes of death based on a priori hypotheses of an association. A linear relationship between the risk estimates and the two biases was found after applying either direct or indirect standardization to adjust for confounding. In the two cohorts, higher risks in exposed workers emerged only after adjusting for DE and CB. Cohort studies without an internal referent group may provide unreliable results.

Hypertrophy in the female heart

Several clinical studies have suggested that sex influences the left ventricle's response to altered loading conditions and thus the development of cardiac hypertrophy. Likewise, several of the risk factors associated with the development of hypertrophy exhibit sexual dimorphism in their distribution in the general population. These sex-specific differences in risk factor distribution are likely important modifiers in disease progression and outcome. This review explores the available evidence of sex-specific differences in the evolution of left ventricular hypertrophy.

Derivation and validation of diabetes risk score for urban Asian Indians

Objective: Simple risk scores for identifying people with undiagnosed diabetes have been developed, mostly in Caucasian groups. This may not be suitable for Asian Indians, therefore this study was undertaken to develop and validate a simple diabetes risk score in an urban Asian Indian population with a high prevalence of diabetes. We also tested whether this score was applicable to South Asian migrants living in a different cultural context. Research design and methods: A population based Cohort of 10,003 participants aged ≥20 years was divided into two equal halves (Cohorts 1 and 2), after excluding people with known diabetes. Cohort 1 ( n = 4993) was used to derive the risk score. Validation of the score was performed in the other half of the survey population (Cohort 2) ( n = 5010). The validation was also done in a separate survey population in Chennai, India (Cohort 3) ( n = 2002) (diagnosis of diabetes was based on OGTT) and in the South Asian Cohort of the 1999 Health Survey for England ( n = 676) (fasting glucose value ≥ 7 mmol/l and HbA1c ≥ 6.5% were used for diagnosis). A logistic regression model was used to compute the β coefficients for risk factors. The risk score value was derived from a receiver operating characteristic curve. Results: The significant risk factors included in the risk score were age, BMI, waist circumference, family history of diabetes and sedentary physical activity. A risk score value of >21 gave a sensitivity, specificity, positive predictive value and negative predictive value of 76.6%, 59.9%, 9.4% and 97.9% in Cohort 1, 72.4%, 59%, 8.3% and 97.6% in Cohort 2 and 73.7%, 61.0%, 12.2% and 96.9% in Cohort 3, respectively. The higher distribution of risk factors in the UK Cohort means that at the same cut point the score was much more sensitive but also less specific. (sensitivity 92.2%, specificity 25.7%, positive predictive value of 21.6% and negative predictive value of 93.7%). Conclusions: A diabetes risk score involving simple non-biochemical measurements was developed and validated in a native Asian Indian population. This easily applicable simple score could play an important role as the first step in the process of identifying individuals with an increased likelihood of having prevalent but undiagnosed diabetes. The different distribution of risk factors with the migrant Asian Indians living in England and the different relationship between sensitivity and specificity for the same score demonstrate that risk scores and cut-points developed and tested even within one ethnic group cannot be generalized to individuals of the same ethnic group living in a different cultural setting where the distribution of risk factors for diabetes is different.

The Long Island Breast Cancer Study Project: description of a multi-institutional collaboration to identify environmental risk factors for breast cancer.

The Long Island Breast Cancer Study Project is a federally mandated, population-based case-control study to determine whether breast cancer risk among women in the counties of Nassau and Suffolk, NY, is associated with selected environmental exposures, assessed by blood samples, self-reports, and environmental home samples. This report describes the collaborative project's background, rationale, methods, participation rates, and distributions of known risk factors for breast cancer by case-control status, by blood donation, and by availability of environmental home samples. Interview response rates among eligible cases and controls were 82.1% (n = 1,508) and 62.8% (n = 1,556), respectively. Among case and control respondents who completed the interviewer-administered questionnaire, 98.2 and 97.6% self-completed the food frequency questionnaire; 73.0 and 73.3% donated a blood sample; and 93.0 and 83.3% donated a urine sample. Among a random sample of case and control respondents who are long-term residents, samples of dust (83.6 and 83.0%); soil (93.5 and 89.7%); and water (94.3 and 93.9%) were collected. Established risk factors for breast cancer that were found to increase risk among Long Island women include lower parity, late age at first birth, little or no breast feeding, and family history of breast cancer. Factors that were found to be associated with a decreased likelihood that a respondent would donate blood include increasing age and past smoking; factors associated with an increased probability include white or other race, alcohol use, ever breastfed, ever use of hormone replacement therapy, ever use of oral contraceptives, and ever had a mammogram. Long-term residents (defined as 15+ years in the interview home) with environmental home samples did not differ from other long-term residents, although there were a number of differences in risk factor distributions between long-term residents and other participants, as anticipated.

Interaction and Intervention Modeling: Predicting and Extrapolating the Impact of Multiple Interventions

PURPOSE: Methods called interaction and intervention modeling are presented. Interaction modeling examines the interactions between variables as the basis for predicting the impact of multiple variables on a target population and on populations with difference distributions of risk factors. Intervention modeling incorporates these interactions and aims to extrapolate the impact of multiple interventions to new populations. The aim is to develop methods that will be useful for modeling and comparing intervention strategies using existing data and standard statistical methods. METHODS: Traditional hypothesis testing methods used for randomized clinical trials and cohort studies and extrapolating the results to new populations are compared with interaction and intervention modeling methods. Interaction and intervention modeling utilizes the same data as the traditional approach but examines the impact of multiple simultaneous interactions and allows extrapolation of the results to populations with different prevalences and distributions of risk factors. An example using real data demonstrates the potential of interaction and intervention modeling to predict the impact of multiple interacting variables and to compare the impact of alternative interventions. RESULTS: The methods outlined take into account the impact of the magnitude of the relative risks, prevalence of risk factors, and interaction of risk variables when predicting the impact on a new population or extrapolating the results of one or more interventions on a new population. Traditional methods that do not take into account interactions are shown to produce different conclusions from the intervention modeling approach that incorporates interactions. The impact of the intervention modeling approach compared with the traditional approach will be quite variable depending on the prevalence of the risk factors and their extent of interaction. CONCLUSIONS: Studies designed to test a hypothesis treat most variables as potential confounding variables adjusting for their impact and their interactions as part of the analysis using traditional regression methods. Interaction and intervention modeling focuses on the interactions themselves and allows comparison of the effectiveness of alternative interventions.

Population group differences in trends in stroke mortality in Israel.

In Israel, stroke is the third most common cause of death. In 1997 stroke accounted for 2905 deaths (8.1% of total), 1390 of them among men (7.5% of total; crude mortality rate of 48.3/100 000) and 1515 among women (8.6% of total; crude rate of 51.7/100 000). This report presents trends on stroke mortality by population group and estimates of morbidity in Israel. Data on stroke mortality in Israel during 1969-1997 were obtained from the Israel Central Bureau of Statistics. Age-specific and age-adjusted mortality rates were calculated for the 2 main population groups. Data on morbidity were obtained form the 1996/1997 National Health Survey. Hospitalization rates due to stroke are based on the national hospitalization data. A monotonic decrease in stroke mortality is evident in Jews during 1969-1997 in both sexes. Age-adjusted mortality rates declined by 62.5% for Jewish men and by 73.4% for Jewish women during 1969-1997. Among Arabs, there was a general decreasing trend in the mortality for both sexes during 1973-1997. The main difference in population group mortality trends was found in the group aged >/=75 years: a statistically significant decrease in mortality rates for Jews is evident, while no decrease is apparent for Arabs. On the basis of available data for 1990, an estimated 13 000 patients with stroke were hospitalized during 1997. During the last 25 years, age-adjusted stroke mortality in Israel has declined substantially, but the decline has been much greater among Jews than Arabs. The group aged >/=75 years shows the greatest difference in trends between Jews and Arabs. This finding may be explained by differences in risk factor distribution and case fatality rates.

Duration of breastfeeding and associated factors in Western and Eastern Germany

Ten years after the German political reunification, specific lifestyle habits still vary between the former Western (FRG) and Eastern (GDR) sectors of Germany. We have analysed data from the first nationwide SuSe Study on breastfeeding 1997–1998 (n= 1593 healthy, term German infants) stratified in a Western (80.3%) and Eastern (19.7%) subgroup. In the Eastern subgroup, breastfeeding was higher for the first 2 wk but decreased more rapidly thereafter. The adjusted relative risk (odds ratios, OR) for short-term breastfeeding was strongly associated (OR >2) with maternal age, supplementary feeding, single parent status, maternal educational status, breastfeeding problems and partner's attitude towards breastfeeding. In the multivariate model, not the geographical location where the mother grew up but the different distribution of risk factors was associated with short-term breastfeeding. Moreover, mothers from both the Western and Eastern sectors mentioned different reasons for giving up breastfeeding. Conclusion: More breastfeeding promotion is necessary for women from the former GDR.

Duration of breastfeeding and associated factors in Western and Eastern Germany

Ten years after the German political reunification, specific lifestyle habits still vary between the former Western (FRG) and Eastern (GDR) sectors of Germany. We have analysed data from the first nationwide SuSe Study on breastfeeding 1997-1998 (n = 1593 healthy, term German infants) stratified in a Western (80.3%) and Eastern (19.7%) subgroup. In the Eastern subgroup, breastfeeding was higher for the first 2 wk but decreased more rapidly thereafter. The adjusted relative risk (odds ratios, OR) for short-term breastfeeding was strongly associated (OR >2) with maternal age, supplementary feeding, single parent status, maternal educational status, breastfeeding problems and partner's attitude towards breastfeeding. In the multivariate model, not the geographical location where the mother grew up but the different distribution of risk factors was associated with short-term breastfeeding. Moreover, mothers from both the Western and Eastern sectors mentioned different reasons for giving up breastfeeding. More breastfeeding promotion is necessary for women from the former GDR.