Objective. —To identify and quantify the major external (nongenetic) factors that contribute to death in the United States. Data Sources. —Articles published between 1977 and 1993 were identified through MEDLINE searches, reference citations, and expert consultation. Government reports and compilations of vital statistics and surveillance data were also obtained. Study Selection. —Sources selected were those that were often cited and those that indicated a quantitative assessment of the relative contributions of various factors to mortality and morbidity. Data Extraction. —Data used were those for which specific methodological assumptions were stated. A table quantifying the contributions of leading factors was constructed using actual counts, generally accepted estimates, and calculated estimates that were developed by summing various individual estimates and correcting to avoid double counting. For the factors of greatest complexity and uncertainty (diet and activity patterns and toxic agents), a conservative approach was taken by choosing the lower boundaries of the various estimates. Data Synthesis. —The most prominent contributors to mortality in the United States in 1990 were tobacco (an estimated 400000 deaths), diet and activity patterns (300 000), alcohol (100 000), microbial agents (90 000), toxic agents (60 000), firearms (35 000), sexual behavior (30 000), motor vehicles (25 000), and illicit use of drugs (20 000). Socioeconomic status and access to medical care are also important contributors, but difficult to quantify independent of the other factors cited. Because the studies reviewed used different approaches to derive estimates, the stated numbers should be viewed as first approximations. Conclusions. —Approximately half of all deaths that occurred in 1990 could be attributed to the factors identified. Although no attempt was made to further quantify the impact of these factors on morbidity and quality of life, the public health burden they impose is considerable and offers guidance for shaping health policy priorities. (JAMA. 1993;270:2207-2212)

https://jamanetwork.com/journals/JAMA/articlepdf/409171/jama_270_18_038.pdf

Actual causes of death in the United States.

The Sixth Report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure (NIH Publication No. 98-4080)

This review provides the reader with the up-to-date evidence-based basis for prescribing exercise as medicine in the treatment of 26 different diseases: psychiatric diseases (depression, anxiety, stress, schizophrenia); neurological diseases (dementia, Parkinson's disease, multiple sclerosis); metabolic diseases (obesity, hyperlipidemia, metabolic syndrome, polycystic ovarian syndrome, type 2 diabetes, type 1 diabetes); cardiovascular diseases (hypertension, coronary heart disease, heart failure, cerebral apoplexy, and claudication intermittent); pulmonary diseases (chronic obstructive pulmonary disease, asthma, cystic fibrosis); musculo-skeletal disorders (osteoarthritis, osteoporosis, back pain, rheumatoid arthritis); and cancer. The effect of exercise therapy on disease pathogenesis and symptoms are given and the possible mechanisms of action are discussed. We have interpreted the scientific literature and for each disease, we provide the reader with our best advice regarding the optimal type and dose for prescription of exercise.

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Exercise as medicine – evidence for prescribing exercise as therapy in 26 different chronic diseases

Problems with measuring socioeconomic status (SES)—frequently included in clinical and public health studies as a control variable and less frequently as the variable(s) of main interest—could affect research findings and conclusions, with implications for practice and policy.Wecritically examine standard SES measurement approaches, illustrating problems with examples from new analyses and the literature. For example, marked racial/ethnic differences in income at a given educational level and in wealth at a given income level raise questions about the socioeconomic comparability of individuals who are similar on education or income alone. Evidence also shows that conclusions about nonsocioeconomic causes of racial/ethnic differences in health may depend on the measure—eg, income, wealth, education, occupation, neighborhood socioeconomic characteristics, or past socioeconomic experiences—used to “control for SES,” suggesting that findings from studies that have measured limited aspects of SES should be reassessed. We recommend an outcome- and social group–specific approach to SES measurement that involves (1) considering plausible explanatory pathways and mechanisms, (2) measuring as much relevant socioeconomic information as possible, (3) specifying the particular socioeconomic factors measured (rather than SES overall), and (4) systematically considering how potentially important unmeasured socioeconomic factors may affect conclusions. Better SES measures are needed in data sources, but improvements could be made by using existing information more thoughtfully and acknowledging its limitations.

https://jamanetwork.com/journals/jama/articlepdf/202015/jsc50021.pdf

Socioeconomic status in health research: one size does not fit all.

Socioeconomic status (SES) underlies three major determinants of health: health care, environmental exposure, and health behavior. In addition, chronic stress associated with lower SES may also increase morbidity and mortality. Reducing SES disparities in health will require policy initiatives addressing the components of socioeconomic status (income, education, and occupation) as well as the pathways by which these affect health. Lessons for U.S. policy approaches are taken from the Acheson Commission in England, which was charged with reducing health disparities in that country.

Socioeconomic Disparities In Health: Pathways And Policies

BACKGROUND. Socioeconomic status (SES) is usually measured by determining education, income, occupation, or a composite of these dimensions. Although education is the most commonly used measure of SES in epidemiological studies, no investigators in the United States have conducted an empirical analysis quantifying the relative impact of each separate dimension of SES on risk factors for disease. METHODS. Using data on 2380 participants from the Stanford Five-City Project (85% White, non-Hispanic), we examined the independent contribution of education, income, and occupation to a set of cardiovascular disease risk factors (cigarette smoking, systolic and diastolic blood pressure, and total and high-density lipoprotein cholesterol). RESULTS. The relationship between these SES measures and risk factors was strongest and most consistent for education, showing higher risk associated with lower levels of education. Using a forward selection model that allowed for inclusion of all three SES measures after adjust...

Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease.

OBJECTIVES: This study examined long-term effects of a health-education intervention trial to reduce the risk of cardiovascular disease. METHODS: Surveys were conducted in California in two treatment and two control cities at baseline (1979/1980), after the 6-year intervention (1985/1986), and 3 years later at follow-up (1989/1990). Net treatment/control differences in risk-factor change were assessed for women and men 25 to 74 years of age. RESULTS: Blood pressure improvements observed in all cities from baseline to the end of the intervention were maintained during the follow-up in treatment but not control cities. Cholesterol levels continued to decline in all cities during follow-up. Smoking rates leveled out or increased slightly in treatment cities and continued to decline in control cities but did not yield significant net differences. Both coronary heart disease and all-cause mortality risk scores were maintained or continued to improve in treatment cities while leveling out or rebounding in contr...

The long-term effects of a cardiovascular disease prevention trial: the Stanford Five-City Project.

Aerobic exercise training studies involving volunteers generally result in an improved cardiovascular risk factor profile. Little is known, however, about associations between physical activity change and risk factor change in a more representative sample, such as a community. This investigation evaluated correlations between a composite physical activity change score and change in cardiovascular risk factors from 1979 to 1985 in the cohort sample of the Stanford Five-City Project. Men (n = 380) and women (n = 427) between the ages of 18 and 74 years were evaluated for change in self-reported physical activity and change in total cholesterol, high density lipoprotein cholesterol (HDL cholesterol), systolic blood pressure, resting pulse rate, and body mass index (weight (kg)/height (m)2). For men, improvement in the composite physical activity score significantly correlated with an increase in HDL cholesterol (r = 0.14, p = 0.005) and decreases in body mass index (r = -0.16, p = 0.001) and estimated 10-year coronary heart disease risk score (r = -0.10, p = 0.056). For women, improvement in the physical activity score was associated with changes in HDL cholesterol (r = 0.11, p = 0.028) and resting pulse rate (r = -0.15, p = 0.001). These data demonstrate that an increase in physical activity over 5 years is favorably associated with changes in major cardiovascular disease risk factors in men and women and support the public health efficacy of community-wide promotion of physical activity.

Associations between Changes in Physical Activity and Risk Factors for Coronary Heart Disease in a Community-based Sample of Men and Women: The Stanford Five-City Project

To determine the effects of 5 years of community-wide cardiovascular health education on smoking prevalence and cessation, the authors analyzed data from the Stanford Five-City Project, an experimental field study with two treatment cities and two control cities. Representative samples of the population aged 12-74 years were drawn at baseline and every 2 years thereafter to obtain four independent cross-sectional surveys; participants aged 25-74 years are included in this paper (n approximately 440 per city per survey; total n = 6,981). The baseline sample was asked to return to three follow-up surveys, also 2 years apart, and those that did (n = 805) constitute the cohort survey sample. Self-reported cigarette smoking was confirmed by plasma thiocyanate and expired-air carbon monoxide levels. Smoking prevalence decreased over time in all cities, but in the cohort the decrease tended to be greater in treatment than in control cities (p = 0.10, two-tailed); the treatment-control difference was consistent over time (-1.51 percentage points/year in treatment vs. -0.78 percentage points/year in control, p = 0.007, two-tailed). In contrast, smoking prevalence in the independent samples declined similarly in treatment and control cities, changes were not linear, and rates varied within cities between times. Baseline smokers in both the cohort and the follow-up independent surveys were significantly more likely to quit in the treatment cities than in the control cities.

Changes in Adult Cigarette Smoking Prevalence after 5 Years of Community Health Education: The Stanford Five-City Project

Being overweight is a risk factor for cardiovascular heart disease and other medical problems. The purpose of this study was to examine the effect of a community-wide cardiovascular risk reduction trial (the Stanford Five-City Project) on body mass index. In the Stanford Five-City Project, two treatment cities (n = 122,800) received a 6-year mass media and community organization cardiovascular risk reduction intervention. Changes in the treatment cities were compared with two control cities (n = 197,500) for changes in knowledge of risk factors, blood pressure, plasma cholesterol level, smoking rate, body mass index, and resting pulse rate after 5-1/3 years of the education program. Both cohort and cross-sectional (independent) samples were used in the study. In the independent surveys, subjects in the treatment communities gained significantly less weight than subjects in the control communities (0.57 kg compared with 1.25 kg) over 6 years. In the cohort, there were no significant overall differences. The study provides some evidence that a community health education program may help reduce weight gain over time, but more effective methods must be developed if this important risk factor is to be favorably affected in broad populations.

Darius E. Jatulis

Papers

Socioeconomic status and health: how education, income, and occupation contribute to risk factors for cardiovascular disease.

The long-term effects of a cardiovascular disease prevention trial: the Stanford Five-City Project.

Associations between Changes in Physical Activity and Risk Factors for Coronary Heart Disease in a Community-based Sample of Men and Women: The Stanford Five-City Project

Changes in Adult Cigarette Smoking Prevalence after 5 Years of Community Health Education: The Stanford Five-City Project

Effect of Long-term Community Health Education on Body Mass Index: The Stanford Five-City Project