Leonard Syme

Health researchers and practitioners increasingly recognise the important role communities play in shaping individual health. Health researchers recognise the role of community factors as causes or determinants of health problems; use community-based methods for understanding complex health issues; and design community-level health solutions. In this commentary, we propose a fourth way to think about the role of communities in individual health by arguing that the community engagement process itself has implications for individual health and strong communities. This topic is especially important during adolescence, a developmental window of opportunity during which individuals need meaningful opportunities to contribute to the world around them.

... Other Titles: Pathways to health: the role of social factors. Authors: Haan, MN Kaplan, GA Syme, S. Leonard. Issue Date: 1989. Publisher: Hentry J Kaiser Family Foundation. ... Consult the document(s) and/or contact the copyright holder for additional rights questions and requests.

Studies of the relationship between work time and health have been inconclusive. Consequently, we sought to examine the effect of work time on progression of atherosclerosis. This prospective study of 621 middle-aged Finnish men evaluated effects of baseline and repeat measures of work time on 11-year progression of ultrasonographically assessed carotid intima-media thickness (IMT) and interactions with cardiovascular disease. Multiple linear regression models adjusted for 21 biological, behavioral, and psychosocial risk factors Working 3 (minimum), 5 (medium), or 7 (maximum) days per week at baseline was associated with 23%, 31%, and 40% 11-year increases in IMT, respectively. The relative change ratio (RCR) at maximum vs minimum was 1.14 for baseline days worked per week and 1.10 for hours worked per year of follow-up. Significant interactions existed between cardiovascular disease and work time. Men with ischemic heart disease (IHD) who worked the maximum of 14.5 hours per day ex...

... This latter group was unaffected by either supple mental intervention and can be thought of as hard core', while the former group can be thought of as assignment error'. ... Am J Public Health 1979; 69(1): 25. ... Milbank Mem Fund Q 1976; 54(3): 367. 7 Brown E, Bloom JR. ...

Marmot. MG (School of Public Health. U. of California, Berkeley. CA 94720). SL Syme, A. Kagan, H. Kato. JB Cohen and J. Belsky. Epi- demiologic studies of coronary heart disease and stroke in Japanese men living in Japan, Hawaii and California: Prevalence of coronary ...

The link between blood pressure measured at juvenile ages (3-18 years) and subsequent adult ages (30 and 50 years) was investigated in a community-based longitudinal study conducted in the San Francisco Bay Area from 1928 to the present. The original sample of 550 persons decreased 61 percent by age 50 years, leaving only 211 persons in the cohort. Blood pressure was measured annually up to age 18 years and each decade thereafter, providing a unique opportunity to link childhood and adult blood pressures over periods of up to 50 years. Juvenile blood pressure measured from age 6 years onward was a positive predictor of blood pressure at age 30 years. Blood pressure measured at age 50 years was predicted best by juvenile pressures measured at early school age and early puberty. The juvenile-adult blood pressure association was partly explained by controlling for smoking and parental history of cardiovascular disease, but was not explained by controlling for juvenile height or body mass. It was stronger in children from blue collar families. The reported correlations probably represent an underestimation of the true strength of the association because of a greater loss to follow-up among subjects with higher blood pressure and the effects of antihypertensive medication in adulthood.

The etiologic role of biomechanical factors for low back injury (LBI) needs to be confirmed in prospective studies that control for psychosocial factors. Complete baseline information on 1,233 vehicle operators was gathered during medical examinations and by questionnaire. First LBI during 7.5 years of follow-up was ascertained from insurance records. Hazard ratios and etiologic fractions were analyzed with Cox regression models stratified by injury severity and controlling for age, sex, height, weight, ethnicity, and biomechanical and psychosocial job factors. Severe LBI was defined as medically diagnosed postlaminectomy syndrome, spinal stenosis, herniated lumbar disc, sciatica, or spinal instability. An exponential dose-response relationship was found between weekly driving hours and incidence of first LBI. Indicators of physical workload were more strongly associated with more severe low back injuries compared to less severe injuries. Rates of severe LBI increased 39% for every ...

Eighty-one observational work analyses were conducted to measure stressors independently of worker appraisal in the San Francisco transit system. On the basis of action regulation theory, stress factors were defined as hindrances for task performance due to poor work organization or technological design. Stressors included (a) work barriers, defined as obstacles that cause extra work or unsafe behavior; (b) time pressure; (c) monotonous conditions; and (d) time binding, defined as control over timing. Reliability, measured as interrater agreement, ranged between 80 and 97%, with kappas of .46-.70. Validity analyses were done with 71 transit operators who participated in the observations and 177 operators who were assigned mean line-specific observational stressor measures. High odds ratios (ORs) were found for barriers and psychosomatic complaints (OR = 3.8, p = .00), time pressure and relaxation time needed after work (OR = 3.1, p = .05), and barriers and smoking to cope (OR = 3.8, p = .02). Using observational data in conjunction with self-report data can reduce confounding and improve interpretability of stress and health studies.

In an extensive search of available literature, 22 epidemiological studies that have examined health risks of bus drivers were identified. These studies focus on three main disease categories: (1) cardiovascular disease, including hypertension, (2) gastrointestinal illnesses, including peptic ulcer and digestive problems, and (3) musculoskeletal problems including back and neck pain. The studies consistently report that bus drivers have higher raes of mortality, morbidity, and absence due to illness when compared to employees from a wide range of other occupational groups. Increased disease rates have been found for drivers regardless of the use of different research methodologies, measurement techniques and comparison groups. When evaluating the impact of bias on the estimates of risk, it appears likely that findings are conservative: strong systematic selective factors have probably favoured the elimination of those in poorer health both at the time of entry into and exit from the job of bus driving and other sources of bias have most likely caused underestimations of risk. Nevertheless, there remain questions that need careful assessment before firm conclusions can be made about whether increased disease rates result from driving a bus. Such questions, coupled with the consistent findings of heightened risk of disease, make urban bus drivers an appropriate and promising occupational group in which to study further the potential adverse effects of the work environment on employee health.

Previous studies have documented sex and racial/ethnic disparities in outcomes after acute myocardial infarction (AMI), but the explanation of these disparities remains limited. In a setting that controls for access to medical care, we evaluated whether sex and racial/ethnic disparities in prognosis after AMI persist after consideration of socioeconomic background, personal medical history, and medical management. We conducted a prospective cohort study of the members (20,263 men and 10,061 women) of an integrated health care delivery system in northern California who had experienced an AMI between January 1, 1995, and December 31, 2002, and were followed up for a median of 3.5 years (maximum, 8 years). Main outcome measures included AMI recurrence and all-cause mortality. In age-adjusted analyses relative to white men, black men (hazard ratio [HR], 1.44; 95% confidence interval [CI], 1.26-1.65), black women (HR, 1.47; 95% CI, 1.26-1.72), and Asian women (HR, 1.37; 95% CI, 1.13-1.65) were at increased risk of AMI recurrence. However, multivariate adjustment for sociodemographic background, comorbidities, medication use, angiography, and revascularization procedures effectively removed the excess risk of AMI recurrence in these 3 groups. Similarly, the increased age-adjusted risk of all-cause mortality seen in black men (HR, 1.55; 95% CI, 1.37-1.75) and black women (HR, 1.45; 95% CI, 1.27-1.66) was greatly attenuated in black men and reversed in black women after full multivariate adjustment. In a population with equal access to medical care, comprehensive consideration of social, personal, and medical factors could explain sex and racial/ethnic disparities in prognosis after AMI.

... As a result of the coalition's activities, three major regulations emerged (41). ... 2. The Fairness Doctrine in 1967 guaranteed free broadcasting time to anti-smoking forces and providedpublic assistance for the filming of anti-smoking commercials. ...

The environment can be thought of in terms of physical and social dimensions. The social environment includes the groups to which we belong, the neighborhoods in which we live, the organization of our workplaces, and the policies we create to order our lives. There have been recent reports in the literature that the social environment is associated with disease and mortality risks, independent of individual risk factors. These findings suggest that the social environment influences disease pathways. Yet much remains to be learned about the social environment, including how to understand, define, and measure it. The research that needs to be done could benefit from a long tradition in sociology and sociological research that has examined the urban environment, social areas, social disorganization, and social control. We summarize this sociological literature and discuss its relevance to epidemiologic research.

We explored the relationship between social isolation and mortality in a nationally representative US sample and compared the predictive power of social isolation with that of traditional clinical risk factors. We used data on 16,849 adults from the Third National Health and Nutrition Examination Survey and the National Death Index. Predictor variables were 4 social isolation factors and a composite index. Comparison predictors included smoking, obesity, elevated blood pressure, and high cholesterol. Unadjusted Kaplan-Meier tables and Cox proportional hazards regression models controlling for sociodemographic characteristics were used to predict mortality. Socially isolated men and women had worse unadjusted survival curves than less socially isolated individuals. Cox models revealed that social isolation predicted mortality for both genders, as did smoking and high blood pressure. Among men, individual social predictors included being unmarried, participating infrequently in religious activities, and lacking club or organization affiliations; among women, significant predictors were being unmarried, infrequent social contact, and participating infrequently in religious activities. The strength of social isolation as a predictor of mortality is similar to that of well-documented clinical risk factors. Our results suggest the importance of assessing patients' level of social isolation.