Gout and coronary heart disease: the Framingham Study

The relationship between gout, not associated with the use of diuretics, and the development of coronary heart disease was examined in 5209 subjects originally enrolled in the Framingham Study. Based on 32 years of follow-up, the two year incidence of gout was six times greater in men (3.2/1000) as compared to women (0.5/1000). For both sexes, the incidence of gout showed no clear relationship with age. Among men who never received diuretics, those afflicted by gout, as compared to those without gout, experienced a 60% excess of coronary heart disease (95% confidence limits, 1.1-2.2), primarily attributed to a two fold excess of angina pectoris (95% confidence limits, 1.2-3.1). Although gout was usually associated with other atherogenic risk factors, control of systolic blood pressure, total cholesterol, alcohol intake, body mass index, and diabetes failed to alter the effect of gout on the preceding coronary events in men. For women, there were no significant associations between gout and coronary heart disease. We conclude that gout, unrelated to the intake of diuretics, imparts an additional risk of coronary heart disease in men, unexplained by clinically measured risk factors.     

石油单位健康体检人群高尿酸血症患病率调查

  目的  了解甘肃地区城镇汉族人群高尿酸血症的流行现状及其影响因素,为制定高尿酸血症防治措施提供参考依据。  方法  于2016年7 — 9月通过分层整群随机抽样方法,对20～80岁甘肃地区城镇汉族居民4 263人进行问卷调查及实验室检测,采用非条件logistic回归对高尿酸血症可能的影响因素进行分析。  结果  甘肃地区城镇汉族成年人高尿酸血症患病率为18.02 %,男性高尿酸血症患病率（24.23 %）高于女性（13.55 %）（P < 0.05）。单因素分析结果显示,不同城乡、性别、年龄、婚姻状况、文化程度、吸烟、饮酒状况、体力劳动程度、身体锻炼人群间高尿酸血症患病率差异有统计学意义（均P < 0.05）;logistic回归分析显示,男性、发达地区、饮酒和经常锻炼是高尿酸血症的危险因素,而已婚、重体力劳动为保护因素。  结论  甘肃地区高尿酸血症患病率较高,具有罹患慢性病风险,有必要采取针对性的人群干预措施。     

Hyperuricemia as a risk factor of coronary heart disease: The Framingham Study

Uric acid values were obtained on subjects of the original Framingham cohort at their fourth and 13th biennial examinations. The mean uric acid value for men was 5.0 mg/dl at the fourth examination and 5.7 mg/dl at examination 13 and was 3.9 mg/dl and 4.7 mg/dl, respectively, for women. This secular trend was due to both "laboratory drift" and increasing use of diuretics. Serum uric acid values were consistently higher in subjects of both sexes who were taking antihypertensive drugs at both examinations. Serum uric acid values correlated with systolic and diastolic blood pressure in both sexes; the relationship was stronger in women than in men and for systolic than for diastolic pressure. Correlations were stronger at examination 4 than at examination 13 when more antihypertensive treatment was used. Examination 4 serum uric acid predicted the subsequent development of coronary heart disease, in general, and myocardial infarction, in particular, but not angina pectoris. The uric acid relationship with myocardial infarction was equally strong in both sexes, even correcting for antihypertensive treatment. However, in multivariate analysis, including age, systolic blood pressure, relative weight, cigarette smoking, and serum cholesterol, serum uric acid did not add independently to the prediction of coronary heart disease.     

Lipids and risk of coronary heart disease. The Framingham Study.

Total cholesterol level is significantly related to risk of coronary heart disease (CHD), adjusting for other risk factors in women 50 to 79 years old and in men aged 50 to 64 years, at P < .001. Determining the levels of lipoproteins such as low-density-lipoprotein (LDL) cholesterol and high-density-lipoprotein (HDL) cholesterol improves the prediction of risk. Triglycerides are independently related in women at all ages but miss statistical significance in the multivariate studies in men. The total cholesterol-HDL cholesterol ratio is another powerful predictor at all ages in women and is the only lipid predictor independently related to CHD in men 65 to 80 years old. Inspection of the age-specific association of cholesterol with risk in men and women also reveals that the absolute rates of disease worsen with age.     

State of the art coronary heart disease risk estimations based on the Framingham heart study

The aim was to review the most interesting articles dealing with estimations of an individual's absolute coronary heart disease risk based on the Framingham heart study. Besides the Framingham coronary heart disease risk functions, results of validation studies of these Framingham risk functions are discussed. In general, the Framingham risk functions overestimated an individual's absolute risk in external (non-Framingham) populations with a lower occurrence of coronary heart disease compared with the Framingham population, and underestimated it in populations with a higher occurrence of coronary heart disease. Even if the calibration accuracy of the Framingham risk functions were not satisfying, the Framingham risk functions were able to rank individuals according to risk from low-risk to high-risk groups, with the discrimination ability of 60% and more.     

Family patterns of coronary heart disease mortality: the Framingham Longevity Study.

Family patterns for age at death were examined in a 40 year follow-up of 5209 men and women (2900 deceased, 2309 living) in the Framingham Study and their parents. Age at death of both mothers and fathers was significantly older for surviving offspring when compared to decreased offspring (p less than 0.0001). When longevity was assessed according to cause of death in the offspring, parental age at death was a significant predictor of death by coronary heart disease (CHD), but not for stroke or cancer. Multiple regression analysis for offspring with sudden CHD death revealed that mother's age at death was a significant predictor of age at sudden CHD death (p less than 0.0003) whereas father's age at death was a significant predictor of age at death in non-sudden CHD death (p less than 0.004). Life table analysis showed longest survival rates associated with both parents surviving to age 75 or older followed by mother only surviving to age 75 or older, then father only, and shortest survival with neither parent surviving to age 75. Longevity appears to be more strongly associated with maternal death age than parental death age. Proportional hazards analysis of risk factors associated with CHD revealed that systolic blood pressure, sex of the individual, and cigarette smoking were the most significant predictors of death age. These findings suggest that familial similarities for death age may be mediated primarily through shared CHD risk factors within families, either genetic or non-genetic.     

Framingham equations overestimate risk of coronary heart disease mortality in British males

QuestionWhat is the predictive accuracy of the Framingham risk score for coronary heart disease in a UK population?Study DesignProspective cohort study.Main resultsThe Framingham equation significantly over-predicted 10-year coronary heart disease (CHD) mortality (predicted mortality 4.1% vs. observed mortality 2.8%; over-prediction of risk 47%; P<0.0001 for goodness of fit). The Framingham equation significantly over-predicted 10 year CHD event rate (predicted event rate 16.0% vs. observed event rate 10.2%; over-prediction of risk 57%; P<0.0001 for goodness of fit).Authors’ conclusionsThe Framingham equations over-predict risk of CHD mortality and all fatal and non-fatal CHD events in a representative sample of British men. The disparity seen is likely to represent actual differences in the levels of CHD risk in the Framingham population and the British male population.     

A longitudinal analysis of the risk factors for diabetes and coronary heart disease in the Framingham Offspring Study

Background  

The recent trends in sedentary life-styles and weight gain are likely to contribute to chronic conditions such as hypertension, diabetes, and cardiovascular diseases. The temporal sequence and pathways underlying these conditions can be modeled using the knowledge from the biomedical and social sciences.     

Sheepskin effects of education in the 10-year Framingham risk of coronary heart disease

While the association between education and adult health is well documented, it is unclear whether quantity (i.e. years of schooling) or credentials (i.e. degrees) drive this association. Individuals with degrees may have better health than their non-credentialed counterparts given similar years of schooling, the so-called “sheepskin” effect. This paper contributes to this line of inquiry by examining associations of educational degree and years of schooling with the Framingham Risk Score, a measure of 10-year risk of coronary heart disease (CHD), using data from a unique birth cohort (the New England Family Study; participants mean age 42 years) with prospective information on childhood health and intelligence quotient (IQ). According to our results, years of schooling were inversely associated with 10-year CHD risk in the unadjusted model but not in the fully adjusted models that included degree attainment. By contrast, associations between degree attainment and 10-year CHD risk remained significant in the fully adjusted models that included years of schooling. College degree holders had 10-year CHD risk 19% (95% CI: −33%, −2%) lower than individuals with HS degrees or less in the fully adjusted models. Subanalyses evaluating sheepskin effects on the individual components of the 10-year CHD risk algorithm showed the expected education gradient was generally noted for each of the individual components, with decreasing prevalence of “high risk” values associated with higher degree credentials. Our results suggest educational credentials provide an additional benefit to risk of coronary heart disease beyond schooling.     

An adaptation of the Framingham coronary heart disease risk function to European Mediterranean areas

AIM: To determine whether the Framingham function accurately predicts the 10 year risk of coronary disease and to adapt this predictive method to the characteristics of a Spanish population. METHOD AND RESULTS: A Framingham function for predicting 10 year coronary deaths and non-fatal myocardial infarction was applied to the population of the province of Gerona, Spain, where the cumulated incidence rate of myocardial infarction has been determined since 1988 by a specific registry. The prevalence of cardiovascular risk factors in this region of Spain was established in 1995 by a cross sectional study on a representative sample of 1748 people. The number of cases estimated by the Framingham function for 10 year coronary deaths and non-fatal myocardial infarction was compared with that observed. The Framingham function estimated 2425 coronary heart disease cases in women and 1181 were observed. In men, 9919 were estimated and 3706 were observed. Recalibrating the Framingham equations to the event rate and the prevalence of the risk factors in Gerona led to estimates very close to the number of cases observed in Gerona men and women. CONCLUSIONS: The Framingham function estimates more than doubled the actual risk of coronary disease observed in north east Spain. After calibration, the Framingham function became an effective method of estimating the risk in this region with low coronary heart disease incidence.     

Women, work and coronary heart disease: prospective findings from the Framingham heart study.

This study examined the relationship of employment status and employment-related behaviors to the incidence of coronary heart disease (CHD) in women. Between 1965 and 1967, a psychosocial questionnaire was administered to 350 housewives, 387 working women (women who had been employed outside the home over one-half their adult years), and 580 men participating in the Framingham Heart Study. The respondents were 45 to 64 years of age and were followed for the development of CHD over the ensuing eight years. Regardless of employment status, women reported significantly more symptoms of emotional distress than men. Working women and men were more likely to report Type A behavior, ambitiousness, and marital disagreements than were housewives; working women experienced more job mobility than men, and more daily stress and marital dissatisfaction than housewives or men. Working women did not have significantly higher incidence rates of CHD than housewives (7.8 vs 5.4 per cent, respectively). However, CHD rates were almost twice as great among women holding clerical jobs (10.6 per cent) as compared to housewives. The most significant predictors of CHD among clerical workers were: suppressed hostility, having a nonsupportive boss, and decreased job mobility. CHD rates were higher among working women who had ever married, especially among those who had raised three or more children. Among working women, clerical workers who had children and were married to blue collar workers were a highest risk of developing CHD (21.3 per cent).     

A comparison between BMI and Conicity index on predicting coronary heart disease: the Framingham Heart Study

PURPOSE: This study examined the relationship of mortality and morbidity of coronary heart disease with body mass index (BMI) and Conicity index (CI). METHODS: Among 5209 Framingham Heart Study participants, 1882 men and 2373 women had waist and weight measurement at the 4th examination period and height measured on the 5th visit. These were used for BMI and CI. RESULTS: During a 24-year follow-up, 597 men and 468 women developed CHD and 248 men and 150 women died from CHD associated causes. In men the relative risks (RR) (95% confidence interval) adjusted for age, hypertension, diabetes, smoking status, and total cholesterol for CHD incidence in 2nd, 3rd, and 4th quartiles of BMI were 1.28 (1.0, 1.65), 1.45 (1.13, 1.86), and 1.53 (1.19, 1.96). The RR for CHD incidence in the 4th quartile of BMI in women was 1.56 (1.16, 2.08). No CI quartiles were risk factors for CHD incidence. There was 86% higher risk of CHD related death in the 4th quartile of BMI than the 1st quartile of BMI in women. In men no significantly higher risks of death were found across the quartiles of BMI. No associations were found between CI quartiles and CHD mortality. CONCLUSIONS: Obesity as measured by BMI is an important risk factor for CHD incidence in men and women and for CHD mortality in women. CI was not associated with an increase in CHD incidence or mortality. Thus, BMI is a better marker than CI for predicting CHD incidence and mortality.     

Multivariate risk estimation for coronary heart disease: the Busselton Health Study

Coronary heart disease (CHD) is a multifactorial disease and CHD risk should be estimated by assessing all cardiovascular risk factors simultaneously. Simply adding up the number of factors with 'at risk' values fails to identify high-risk subjects with multiple risk factors at moderately elevated values. A more efficient approach is to use a quantitative multivariate risk score. A number of overseas studies have produced CHD risk scoring systems for men. There are few risk scores developed for women and no CHD risk scores have been developed from Australian data. This study used data on CHD risk factors and morbidity/mortality follow-up for the 1978 Busselton Health Survey participants to provide age-specific estimates of absolute risk of CHD hospitalisation or death, and to develop multivariate CHD risk scoring systems for men and women. The scores are based on age, blood pressure, anti-hypertensive medication, total and HDL cholesterol, smoking, diabetes, left ventricular hypertrophy and previous history of CHD. The generalisability and applicability of these risk estimation systems to Australian populations in the late 1990s is discussed.     

Life-style correlates of risk factor change in young adults: an eight-year study of coronary heart disease risk factors in the Framingham offspring

This paper describes the life-style and behavioral correlates of change in coronary heart disease risk factors measured eight years apart in the young adult offspring of the Framingham Heart Study cohort. Changes in total cholesterol, lipoprotein cholesterols (high density lipoprotein (HDL) cholesterol, low density lipoprotein (LDL) cholesterol, very low density lipoprotein (VLDL) cholesterol), and blood pressure were observed longitudinally in 397 men and 497 women who were aged 20-29 years at entry into the study. Stepwise multiple linear regression procedures were used to identify characteristics and their changes that were significantly associated with risk factor changes in each sex. The attribute most strongly and consistently related to lipoprotein and blood pressure changes in both sexes was change in body mass index (p less than or equal to 0.01 or p less than or equal to 0.001). In addition to weight gain, increases in alcohol consumption in men (p less than or equal to 0.001) and beginning oral contraceptive use in women (p less than or equal to 0.01) were associated with increases in blood pressure over the study period. Weight loss, stopping or decreasing cigarette consumption (p less than or equal to 0.01), increasing alcohol intake (p less than or equal to 0.01), and, in women, discontinuing oral contraceptive use (p less than or equal to 0.01) also were independently related to improvements in lipoprotein profiles during follow-up. After adjustment for all life-style correlates of risk factor change, simple self-assessments of physical activity or activity change were negatively associated with changes in VLDL cholesterol (p less than or equal to 0.01) and the total cholesterol/HDL cholesterol ratio (p less than or equal to 0.05) in men and positively associated with changes in HDL cholesterol (p less than or equal to 0.05) in women. Sociodemographic and behavioral characteristics that made a further independent contribution to increases in the total cholesterol/HDL cholesterol ratio in men were blue-collar occupation and trait Type A behavior pattern (p less than or equal to 0.05). Unexplained, but provocative, results of this study included the associations of interim vasectomy with increases in total cholesterol in men (p less than or equal to 0.05) and of number of livebirths with decreases in total cholesterol and HDL cholesterol in women (p less than or equal to 0.01). These findings are among the first to offer prospective evidence which suggests that habits and behaviors during young adulthood have a substantial effect on lipid and lipoprotein profiles in men and women.(ABSTRACT TRUNCATED AT 400 WORDS)     

The addition of depression to the Framingham Risk Equation model for predicting coronary heart disease risk in women

BackgroundDepression is widely considered to be an independent and robust predictor of Coronary Heart Disease (CHD), however is seldom considered in the context of formal risk assessment. We assessed whether the addition of depression to the Framingham Risk Equation (FRE) improved accuracy for predicting 10-year CHD in a sample of women.DesignA prospective, longitudinal design comprising an age-stratified, population-based sample of Australian women collected between 1993 and 2011 (n = 862).MethodsClinical depressive disorder was assessed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (SCID-I/NP), using retrospective age-of-onset data. A composite measure of CHD included non-fatal myocardial infarction, unstable angina coronary intervention or cardiac death. Cox proportional-hazards regression models were conducted and overall accuracy assessed using area under receiver operating characteristic (ROC) curve analysis.ResultsROC curve analyses revealed that the addition of baseline depression status to the FRE model improved its overall accuracy (AUC:0.77, Specificity:0.70, Sensitivity:0.75) when compared to the original FRE model (AUC:0.75, Specificity:0.73, Sensitivity:0.67). However, when calibrated against the original model, the predicted number of events generated by the augmented version marginally over-estimated the true number observed.ConclusionsThe addition of a depression variable to the FRE equation improves the overall accuracy of the model for predicting 10-year CHD events in women, however may over-estimate the number of events that actually occur. This model now requires validation in larger samples as it could form a new CHD risk equation for women.     

Dietary fat intake and risk of coronary heart disease: the Strong Heart Study

BACKGROUND: The results of previous studies on the association between dietary fat intake and coronary heart disease (CHD) incidence are inconsistent. OBJECTIVE: The aim of this study was to examine the association between dietary fat intake and CHD incidence in American Indians in the Strong Heart Study. DESIGN: A total of 2938 participants aged 47-79 y and free of CHD at the second examination (1993-1995) were examined and followed for CHD, nonfatal CHD, and fatal CHD events to 31 December 2002. Dietary intake was assessed by using a 24-h diet recall and was calculated as percentages of energy. RESULTS: Participants were followed for a mean (+/-SD) of 7.2 +/- 2.3 y. During follow-up, 436 incident CHD cases (298 nonfatal CHD and 138 fatal CHD events) were ascertained. Participants aged 47-59 y in the highest quartile of intake of total fat, saturated fatty acids, or monounsaturated fatty acids had higher CHD mortality than did those in the lowest quartile [hazard ratio (95% CI): 3.57 (1.21, 10.49), 5.17 (1.64, 16.36), and 3.43 (1.17, 10.04), respectively] after confounders were controlled for. These associations were not observed for those aged 60-79 y. CONCLUSIONS: Total fat, saturated fatty acid, and monounsaturated fatty acid intake were strong predictors of CHD mortality in American Indians aged 47-59 y, independent of other established CHD risk factors. It may be prudent for American Indians to reduce their fat intake early in life to reduce the risk of dying from CHD.     

Regional obesity and risk of cardiovascular disease; the Framingham Study

Risk of cardiovascular events was determined over 24 years of surveillance in relation to general adiposity reflected by relative weight and by regional obesity estimated by skinfolds and waist girth per inch of height. Upper quintile values of relative weight, subscapular skinfolds and waist girth were each associated with increased risks of cardiovascular disease in both sexes. Risk of total cardiovascular events increased with the degree of regional, central or abdominal obesity. Mortality from cardiovascular disease was also increased. Increased relative weight and central obesity were both associated with increased risk factors including cholesterol, blood pressure, glucose and uric acid. Changes in weight were mirrored by changes in risk factors with linear trends over a 15 lb range of weight fluctuations. Subscapular skinfold and the ratio of subscapular-to-triceps skinfold, measures of central obesity, were in either sex also associated with an increased probability of coronary attacks in particular. The subscapular skinfold contributed to CHD risk independent of body mass index (BMI). Multivariate analyses taking all the risk factors into account indicate an independent effect of abdominal obesity on stroke, cardiac failure and cardiovascular and all-cause mortality in men. In women, only the subscapular-to-triceps skinfold ratio independently contributes to CHD, cardiovascular and all cause mortality. Regional obesity appears to be an independent contributor to cardiovascular disease at a given level of general adiposity, its effect only partially mediated through promotion of other known risk factors. These data suggest that cardiovascular disease is as closely linked to abdominal as to general adiposity.