scholarly article | Q13442814 |
P50 | author | Lisa M Sullivan | Q37382153 |
P2093 | author name string | Morris JN | |
Wilson PW | |||
Nanchahal K | |||
P2860 | cites work | Overweight and obesity mortality trends in Canada, 1985-2000. | Q44616758 |
Explaining the decline in coronary heart disease mortality in England and Wales between 1981 and 2000. | Q44781959 | ||
Long-term consequences of body mass index for cardiovascular mortality: the Chicago Heart Association Detection Project in Industry study | Q44798194 | ||
Body weight, cardiovascular risk factors, and coronary mortality. 15-year follow-up of middle-aged men and women in eastern Finland | Q47334374 | ||
Abdominal obesity is associated with increased risk of acute coronary events in men. | Q51543359 | ||
An updated coronary risk profile. A statement for health professionals. | Q52461335 | ||
Overweight and obesity as determinants of cardiovascular risk: the Framingham experience. | Q54656315 | ||
Maximum likelihood estimation of the attributable fraction from logistic models | Q72610226 | ||
Selection of anthropometric indicators for classification of abdominal fatness--a critical review | Q77188607 | ||
Prevention of coronary heart disease in clinical practice. Recommendations of the Second Joint Task Force of European and other Societies on coronary prevention | Q77575506 | ||
Predictive accuracy of the Framingham coronary risk score in British men: prospective cohort study | Q24630111 | ||
Mortality in relation to smoking: 40 years' observations on male British doctors | Q24648574 | ||
Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations: a statement for healthcare professionals from the American Heart Association and the American College of Cardiology | Q33740111 | ||
Occupational class and cause specific mortality in middle aged men in 11 European countries: comparison of population based studies. EU Working Group on Socioeconomic Inequalities in Health | Q33795768 | ||
Analysis of predicted coronary heart disease risk in England based on Framingham study risk appraisal models published in 1991 and 2000 | Q33895069 | ||
Long-term weight-loss maintenance: a meta-analysis of US studies | Q34099650 | ||
Optimal diets for prevention of coronary heart disease | Q34160163 | ||
Is the Framingham risk function valid for northern European populations? A comparison of methods for estimating absolute coronary risk in high risk men | Q35370250 | ||
Education, lifestyle factors and mortality from cardiovascular disease and cancer. A 25-year follow-up of Swedish 50-year-old men. | Q43460354 | ||
Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation | Q43742848 | ||
P433 | issue | 3 | |
P407 | language of work or name | English | Q1860 |
P921 | main subject | obesity | Q12174 |
epidemic | Q44512 | ||
heart disease | Q190805 | ||
coronary artery disease | Q844935 | ||
P304 | page(s) | 317-323 | |
P577 | publication date | 2005-03-01 | |
P1433 | published in | International Journal of Obesity | Q6051519 |
P1476 | title | Coronary heart disease risk in men and the epidemic of overweight and obesity | |
P478 | volume | 29 |
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Q37352898 | Age-dependent decline of association between obesity and coronary heart disease: a cohort study in a remote Australian Aboriginal community |
Q36976310 | Are current UK National Institute for Health and Clinical Excellence (NICE) obesity risk guidelines useful? Cross-sectional associations with cardiovascular disease risk factors in a large, representative English population. |
Q43297495 | Central obesity and cigarette smoking are key determinants of cardiovascular disease deaths in Australia: a public health perspective |
Q33396076 | Clinical patterns of obstructive sleep apnea and its comorbid conditions: a data mining approach. |
Q43675365 | Comparison of two methods for identifying dietary patterns associated with obesity in preschool children: the GENESIS study |
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Q51804424 | Eating fast leads to obesity: findings based on self-administered questionnaires among middle-aged Japanese men and women. |
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Q37190421 | Exercise and cardiac preconditioning against ischemia reperfusion injury |
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Q36680324 | Inhibitory activity of extracts of Hebridean brown seaweeds on lipase activity |
Q47411581 | Lifestyle intervention leading to moderate weight loss normalizes postprandial triacylglycerolemia despite persisting obesity. |
Q43588532 | Obesity and television watching in preschoolers in Greece: the GENESIS study |
Q37220133 | Overweight status is associated with extensive signs of microvascular dysfunction and cardiovascular risk |
Q35803315 | Predictors of Treatment Response to Tesamorelin, a Growth Hormone-Releasing Factor Analog, in HIV-Infected Patients with Excess Abdominal Fat. |
Q47272494 | Prevalence in the eligibility for weight loss treatment in a Mediterranean population. |
Q83222682 | Prevalence of obese patients in a primary care setting |
Q37192414 | Understanding obesity in the older person: prevalence and risk factors |
Q41787966 | Use of fat-fed rats to study the metabolic and vascular sequelae of obesity and beta-adrenergic antagonism |
Q40133656 | Work, Weight, and Wellness: the 3W Program: a worksite obesity prevention and intervention trial. |