The DOI matches its Crossref record; 116 of the 124 references it cites were found in a registry or an index; none of the 43 sources its claims cite is checked for support yet.
Beyond Established and Novel Risk Factors: Lifestyle Risk Factors for Cardiovascular Disease
Abstract
D yslipidemia, hypertension, and diabetes mellitus have been appropriately highlighted as established predictors of cardiovascular disease.These risk factors have become preeminent targets for influencing cardiovascular risk; their assessment, treatment, and monitoring are major emphases of clinical care, research investigation, treatment guidelines, organization position papers, and measures of physician and hospital performance.Notably, lifestyle risk factors, including dietary habits, physical inactivity, smoking, and adiposity, strongly influence the established cardiovascular risk factors and also affect novel pathways of risk such as inflammation/oxidative stress, endothelial function, thrombosis/coagulation, and arrhythmia.Furthermore, modest alterations of these lifestyle risk factors are achievable and have substantial effects on cardiovascular risk.Thus, basic lifestyle habits should be considered fundamental risk factors for cardiovascular disease.Although efforts to combat established and novel risk factors with pharmacological treatments are important and should continue, we call for a systematic rebalancing of current research, clinical care, and policy efforts to focus more on lifestyle.The rising costs of healthcare and the epidemics of overweight and obesity highlight the inadequacies of our current strategy.Substantially more resources should be directed toward research on lifestyle risk factors, their determinants, and effective interventions to change them.The clinical evaluation and treatment of dietary, physical activity, and smoking habits must become as routine and familiar as assessment of blood pressure, cholesterol, and glucose levels.Major policy initiatives and reimbursement guidelines must also be rebalanced to emphasize lifestyle risk factors.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
This review argues that lifestyle risk factors—diet, physical inactivity, smoking, and adiposity—are fundamental causes of cardiovascular disease and should be prioritized alongside established and novel risk factors. It calls for rebalancing research, clinical care, and policy toward lifestyle assessment and intervention.
Key findings
- Lifestyle factors account for most cardiovascular and diabetes burden: >70% of total cardiovascular events, 80% of CHD events, and 90% of new diabetes cases are attributable to a handful of basic lifestyle factors.
- Modest lifestyle changes have large effects: smoking cessation reduces total mortality by approximately one third; physical activity/fitness is associated with 30% to 50% lower cardiovascular event risk; oily fish (1–2 servings/week) reduces CHD death by 36% and total mortality by 17%; a Mediterranean-type diet reduced myocardial infarction or cardiac death by 72% over 4 years; lifestyle intervention reduced diabetes incidence by 58% versus placebo and 39% versus metformin.
- Population behavior can change: US per capita tobacco use fell nearly two thirds since the 1950s; from 1977 to 2000, average fat consumption declined from 36.4% to 32.8% of calories and carbohydrate increased from 44.3% to 50.3%, while total calories rose from 2000 to 2250 kcal/d.
- Adherence is imperfect for both lifestyle and drugs: in the Women’s Health Initiative, 40% stopped the study drug at an average 5.2 years and 54% at 6.8 years; in the Diabetes Prevention Project, 58% maintained the physical activity goal, 38% achieved the weight loss goal, and 67% were ≥80% adherent to drug therapy; lipid-lowering or antihypertensive adherence typically ranges from 65% to 85% in trials to <50% in practice.
Methods
- Design: narrative review/commentary, not original research; it synthesizes evidence from epidemiological studies and randomized controlled trials.
- Data or sample: no primary sample; it cites prior studies and trials (e.g., Framingham, DPP, WHI, Lyon Diet Heart Study, Look AHEAD) and MEDLINE publication counts as of December 2007.
- Main analysis: narrative synthesis and argument for rebalancing research, clinical care, and policy toward lifestyle risk factors.
Limitations
- The paper states that direct evidence comparing adherence to modest lifestyle changes versus lifelong drug use is scant; additional research is needed on optimal behavior-change strategies; and the quality of evidence for some cardiovascular drugs exceeds that for some lifestyle changes because of discrepancies in the sizes and numbers of large randomized trials.
- Evident from the text: as a narrative review, it lacks a systematic search, formal meta-analysis, risk-of-bias assessment, or primary data, and its evidence selection and emphasis reflect the authors’ perspective.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
0 of 43 cited sources checked · 0 supported · 0 flagged
None of the sources cited for this claim have been checked yet.
In the paper
“Lifestyle behaviors can strongly affect the slopes of these changes, attenuating or even reversing the increases seen over time.55,56”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
What the sources say
- Not checked yetcites [55]
- Not checked yetcites [56] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“large disparities in both the prevalence of established risk factors and the rates of cardiovascular events in genetically similar populations both over time and across regions confirm that genetic effects are subordinate to lifestyle and environmental influences.50 -52,57-59”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Among populations with traditional healthy lifestyle behaviors, the prevalences of obesity, dyslipidemia, hypertension, and diabetes mellitus are far less than in industrialized populations, even after adjustment for age.49 -52”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“a major advance in medicine has been confirmation in pharmaceutical trials that blood pressure and blood lipids are in the casual pathway for cardiovascular events”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > From Prediction to Treatment
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Nevertheless, measurement and treatment of blood lipids, blood pressure, and glucose levels have became the major emphases for cardiovascular risk reduction.”
- Also stated in: § From Prediction to Treatment · plain
“Assessment and pharmacological treatment of elevated blood pressure, cholesterol, and glucose levels have become standards of cardiovascular care and the major emphases of practice guidelines, organization position papers, healthcare quality indicators, and reimbursement standards.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > From Prediction to Treatment
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § From Prediction to Treatment · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“suggesting that elevated glucose may at least partly signify more proximal pathology (eg, adipocyte stress and dysfunction) that increases macrovascular risk.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > From Prediction to Treatment
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These basic lifestyle habits-poor diet, physical inactivity, and smoking-are thus the most proximal risk factors for cardiovascular disease.”
- Also stated in: § Abstract · plain
“Thus, basic lifestyle habits should be considered fundamental risk factors for cardiovascular disease.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Sources of Funding
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Also stated in: § Abstract · plain
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, modest alterations of these lifestyle risk factors are achievable and have substantial effects on cardiovascular risk.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearNone of the sources cited for this claim have been checked yet.
In the paper
“although diabetes mellitus and elevated glucose levels clearly predict CHD risk, lowering of glucose by drug treatment generally has not produced anticipated reductions in CHD events, 11,12,12a”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > From Prediction to Treatment
What the sources say
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesNone of the sources cited for this claim have been checked yet.
In the paper
“Consistent with these pleiotropic benefits, physical activity and fitness are associated with 30% to 50% lower risk of cardiovascular events.38,40,67”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Cardiovascular Risk
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- It may state two separate claims as one. 15
- Probably not a substantial claim. 3
None of the sources cited for this claim have been checked yet.
In the paper
“Evaluated systematically, Ͼ70% of total cardiovascular events, 80% of CHD events, and 90% of new cases of diabetes mellitus appear to be attributable to just a handful of basic lifestyle factors.60,61”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Conversely, prevalence of diabetes mellitus has risen steadily, largely because of an epidemic of adiposity 35”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
What the sources say
- Not checked yetcites [35] source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Prediction models make no assumptions (and allow no inferences) about the presence or extent of confounding, magnitude of causal effects, or hierarchy of variables along causal pathways.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > From Prediction to Treatment
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“In the United States, the prevalence of high cholesterol, hypertension, and smoking, together with age-adjusted cardiovascular deaths, has declined over several decades.35,36”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Notably, lifestyle risk factors, including dietary habits, physical inactivity, smoking, and adiposity, strongly influence the established cardiovascular risk factors and also affect novel pathways of risk such as inflammation/oxidative stress, endothelial function, thrombosis/coagulation, and arrhythmia.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Abstract
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Furthermore, modest alterations of these lifestyle risk factors are achievable and have substantial effects on cardiovascular risk.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“emphases on more downstream risk factors such as hypertension, dyslipidemia, and diabetes mellitus address neither the root causes of adiposity nor its full cardiovascular consequences.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Because adiposity is largely caused by poor diet (excess calories) and inadequate activity”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“these unfortunate changes will likely mitigate further improvements in cardiovascular mortality and even reverse the decline in cardiovascular disease incidence.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Lifestyle Risk Factors
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“For example, in a trial among 5145 diabetics, lifestyle advice lowered systolic blood pressure, diastolic blood pressure, triglycerides, fasting glucose, hemoglobin A 1c , and proteinuria; in-creased high-density lipoprotein cholesterol; increased weight loss and physical fitness; and reduced use of diabetic, antihypertensive, and lipid-lowering medications.103”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Changing Behavior
What the sources say
- Not checked yetcites [103] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In another trial, modest lifestyle recommendations (advice to consume a healthy low-calorie diet and be moderately active, such as walking briskly Ϸ20 min/d) reduced incidence of diabetes mellitus by 58% compared with placebo and by 39% compared with metformin.55”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Cardiovascular Risk
What the sources say
- Not checked yetcites [55]
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
None of the sources cited for this claim have been checked yet.
In the paper
“Ironically, a large proportion of healthcare expenditures, including costs to individuals, businesses, and society, is attributable to poor lifestyle behaviors, 114 -117 and these costs are lowered by initiatives that promote healthy lifestyles. 118”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > The Need for Balance
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Major gaps remain, but strategies to lessen smoking in the United States have been effective, reducing per capita tobacco use by nearly two thirds since the 1950s.34”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Changing Behavior
What the sources say
- Not checked yetcites [34] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“In patients with established cardiovascular disease, physical activity reduces angina symptoms, benefits heart failure, decreases claudication, and lowers mortality after myocardial infarction.38”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Cardiovascular Risk
What the sources say
- Not checked yetcites [38] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Modest consumption of oily fish (1 to 2 servings per week) reduces CHD death by 36%, with 17% reduction in total mortality in randomized controlled trials of fish oil in higher-risk populations.46”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Cardiovascular Risk
What the sources say
- Not checked yetcites [46] source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
In the paper
“Although both lifestyle and metformin lowered glucose levels (lessening the nominal diagnosis of diabetes mellitus), only the lifestyle intervention improved multiple other established cardiovascular risk factors related to inactivity, adiposity, and poor dietary habits.56”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Cardiovascular Risk
What the sources say
- Not checked yetcites [56] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The funding sources had no role in study design; in the collection, analysis, or interpretation of data; in the writing of the report; or in the decision to submit the paper for publication.”
§ Beyond Established and Novel Risk Factors Lifestyle Risk Factors for Cardiovascular Disease > Sources of Funding
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Providers should recognize that while patient compliance with both lifestyle and medications is similarly imperfect, such strategies, even imperfectly implemented, improve clinical outcomes.397”
From Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity: A Comprehensive Review (2016) · cites this paper as [397]
Citations
Cites
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin
(2002) · New England Journal of Medicine · doi:10.1056/nejmoa012512 · Cited by 19,011
Writing Group for the Women's Health Initiative Investigators (2002) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.288.3.321 · Cited by 15,889
Prediction of coronary heart disease using risk factor categories
Wilson, P. W. F., D’Agostino, R. B., Levy, D., Belanger, A. M., Silbershatz, H., & Kannel, W. B. (1998) · Circulation · doi:10.1161/01.cir.97.18.1837 · Cited by 9,581
Self-citationGrundy, S. M., Cleeman, J. I., Merz, C. N. B., Brewer, H. B., Clark, L. T., Hunninghake, D. B., Pasternak, R. C., Smith, S. C., & Stone, N. J. (2004) · Circulation · doi:10.1161/01.cir.0000133317.49796.0e · Cited by 6,902
Prevalence and trends in obesity among US adults, 1999–2000
Flegal, K. M. (2002) · JAMA · doi:10.1001/jama.288.14.1723 · Cited by 6,190
Sacks, F. M., Svetkey, L. P., Vollmer, W. M., Appel, L. J., Bray, G. A., Harsha, D., Obarzanek, E., Conlin, P. R., Miller, E. R., Simons-Morton, D. G., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200101043440101 · Cited by 5,638
Flagged first, then by citations
8 of the 124 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 201–300 of 456
Change in health behaviours following acute coronary syndrome: Arab–Jewish differences
Reges, O., Vilchinsky, N., Leibowitz, M., Khaskia, A., Mosseri, M., & Kark, J. D. (2014) · European Journal of Preventive Cardiology · doi:10.1177/2047487314520924 · Cited by 11
“found to contribute the most to disease progression are cigarette smoking and lack of physical activity.(10,11) In Israel, studies have documented lower levels of adoption of health-promoting behaviours, such as smoking cessation and physical activity, among the Arab population.”
BackgroundZhang, L., Boshuizen, H. C., & Ocké, M. C. (2020) · British Journal Of Nutrition · doi:10.1017/s0007114520000999 · Cited by 11
“Inappropriate dietary intakes have been recognised as major risk factors for developing chronic diseases(1,2).”
BackgroundHanssen, H. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2022.935810 · Cited by 11
“The concept of CV risk assessment over the life course and the need for early prevention strategies, with a focus on lifestyle behavior, gradually developed over decades and was based on evidence in older adults from prospective long-term studies such as the Framingham study (22).”
BackgroundAbreu, T. C., Mackenbach, J. D., Heuvelman, F., Schoonmade, L. J., & Beulens, J. W. J. (2023) · SSM - Population Health · doi:10.1016/j.ssmph.2023.101559 · Cited by 14
Short‐term heart rate variability in healthy adults
Keet, S. W. M., Bulte, C. S. E., Garnier, R., et al. (2013) · Anaesthesia · doi:10.1111/anae.12317 · Cited by 11
Understanding the Mechanisms Underlying Gambling Behaviour and Sleep
Loft, M., & Loo, J. M. Y. (2014) · Journal of Gambling Studies · doi:10.1007/s10899-014-9514-x · Cited by 11
“There is a general consensus that certain lifestyle behaviours can be problematic for long-term health (Kim et al. 2007; Mozaffarian et al. 2008).”
BackgroundTopriceanu, C., Moon, J., Hardy, R., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-85435-8 · Cited by 11
“A frailty index quantifies the accumulated health deficits4 and can be appraised in either of three ways: (1) the rules-based operational definition relies on a set of phenotypical rules of performance against which the individual is scored5; (2) the clinical frailty score grades persons along a spectrum from very fit…”
BackgroundMethodVasan, S., Lambert, É., Eikelis, N., & Lim, M. H. (2022) · Health & Social Care in the Community · doi:10.1111/hsc.13948 · Cited by 12
“A number of these physical health indicators are associated with cardiovascular and metabolic disease development (Mozaffarian et al., 2008).”
BackgroundEarly Prediction of Heart Disease via LSTM-XGBoost
Zang, X., Du, J., & Song, Y. (2023) · International Conference on Computing and Artificial Intelligence (ICCAI) · doi:10.1145/3594315.3594383 · Cited by 10
“These risk factors have become preeminent targets for influencing cardiovascular risk [2].”
BackgroundKozbenko, T., Adam, N., Grybas, V. S., Smith, B. J., Alomar, D., Hocking, R., Abdelaziz, J., Pace, A., Boerma, M., Azimzadeh, O., et al. (2024) · Environmental and Molecular Mutagenesis · doi:10.1002/em.22636 · Cited by 14
“Finally, lifestyle factors contribute to the modulation of vascular remodeling (Mozaffarian et al., 2008; Tsao et al., 2022).”
InfluentialColmenárez, P. J. M., Illán-Marcos, E., Díaz-Cruces, E., Rocasolano, M. M., Martínez-Hernandez, J. M., Zamora-Ledezma, E., & Zamora‐Ledezma, C. (2024) · Foods · doi:10.3390/foods13233845 · Cited by 16
“These types of fats have been associated with a positive impact on health, decreasing the risk of developing CVD, type 2 diabetes, and certain types of cancer [15,49].”
Silva, A. R. C. S., Braga, L. V. M., & Anastácio, L. R. (2021) · Nutrition Bulletin · doi:10.1111/nbu.12490 · Cited by 10
Kocanda, L., Brain, K., Frawley, J., Schumacher, T. L., May, J., Rollo, M. E., & Brown, L. (2021) · Journal of the Academy of Nutrition and Dietetics · doi:10.1016/j.jand.2021.05.025 · Cited by 10
Ingle, L., Carroll, S., Stamatakis, E. A., & Hamer, M. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.06.001 · Cited by 10
Health risk factors in the anesthesia population
Scharwächter, W. H., Keet, S. W. M., Stoecklein, K., Loer, S. A., & Boer, C. (2016) · Journal of Clinical Anesthesia · doi:10.1016/j.jclinane.2015.11.017 · Cited by 10
Zemtsovskaja, G., Abina, J., Meigas, K., et al. (2018) · Archives of Medical Science - Atherosclerotic Diseases · doi:10.5114/amsad.2018.76919 · Cited by 10
Epicardial adipose tissue and adrenal gland volume in patients with borderline personality disorder
Richter, A., Stapel, B., Heitland, I., Westhoff‐Bleck, M., Ponimaskin, E. G., Stubbs, B., Lichtinghagen, R., Hartung, D., & Kahl, K. G. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.10.039 · Cited by 10
Fischer, T. (2015) · Orvosi Hetilap · doi:10.1556/oh.2015.30017 · Cited by 12
Lifestyle Risks: Conceptualising an Emerging Category of Research
Planzer, S., & Alemanno, A. (2010) · European Journal of Risk Regulation · doi:10.1017/s1867299x00000763 · Cited by 10
Teshale, A. B., Htun, H. L., Owen, A. J., Ryan, J. L., Baker, J., Vered, M., Reid, C. M., Woods, R. L., Berk, M., Tonkin, A. M., et al. (2024) · Journal of Epidemiology & Community Health · doi:10.1136/jech-2023-221860 · Cited by 9
Gudlaugsson, J., Gudnason, V. G., Aspelund, T., Ólafsdóttir, A. S., Jónsson, P. V., Arngrímsson, S. Á., Harris, T. B., & Jóhannsson, E. (2013) · European Geriatric Medicine · doi:10.1016/j.eurger.2013.09.005 · Cited by 9
“Weight reduction has been the main goal of most intervention studies of individuals with cardiometabolic risk factors [19], because it most likely activates one or more underlying mechanisms that lead to improvement and positive changes in these risk factors [19–21].”
BackgroundCurrent Nutrition Practice in Cardiac Rehabilitation Programs
Kocanda, L., Schumacher, T. L., Kerr, J., May, J., Rollo, M. E., Neubeck, L., & Brown, L. (2021) · Journal of Cardiopulmonary Rehabilitation and Prevention · doi:10.1097/hcr.0000000000000588 · Cited by 9
“The survey instrument consisted of three main sections: (1) professional and service demographics; (2) current practice for nutrition care; and (3) perceived facilitators and barriers to providing nutrition care in the CR program.”
BackgroundMethodRisk of Stroke and Cardiovascular Disease According to Diabetes Mellitus Status
Kim, H., & Lee, H. (2023) · Western Journal of Nursing Research · doi:10.1177/01939459231158212 · Cited by 11
Hartanto, A., Kasturiratna, K. T. A. S., Hu, M., Diong, S. F., & Lua, V. Y. Q. (2024) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2024.111594 · Cited by 9
“We also controlled for health-related behaviors variables that are associated with cardiovascular health [71,72], including current smoking status, regular exercise, and the use of anti-hyperlipidemic agent medication.”
BackgroundKeet, S. W. M., Bulte, C. S. E., Sivanathan, A., Verhees, L., Allaart, C. P., Boer, C., & Bouwman, R. A. (2014) · Anaesthesia · doi:10.1111/anae.12628 · Cited by 9
“Better insight into cardiovascular autonomic function helps cardiovascular risk stratification, which is likely to become increasingly important as the prevalence of both type-2 diabetes mellitus and cardiovascular disease is rapidly increasing in the general patient population [25].”
Ramel, A., Guðmundsdóttir, F., & Þórsdóttir, I. (2012) · European Journal of Clinical Nutrition · doi:10.1038/ejcn.2012.125 · Cited by 10
Joseph, N. M., Misra, R., & Wang, J. (2019) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-019-00930-5 · Cited by 7
Oxidative and Inflammatory Pathways in Age-Related Chronic Disease Processes
Campbell, A., & Solaimani, P. (2016) · Oxidative stress in applied basic research and clinical practice · doi:10.1007/978-3-319-33486-8_6 · Cited by 9
Li, X., Feng, X., Lu, L., et al. (2018) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14020 · Cited by 9
“It is well known that CVD is associated with risk factors such as adiposity, smoking, ageing, and hypertension.(1) Numerous studies have revealed significant associations between compromised prenatal”
BackgroundSugiura, T., Dohi, Y., Takase, H., Yamashita, S., Tsuzuki, Y., Ogawa, S., Tanaka, Y., & Ohte, N. (2019) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2019.08.008 · Cited by 9
Florido, M. H. C., & Ziats, N. P. (2024) · Journal of Biomedical Materials Research Part A · doi:10.1002/jbm.a.37669 · Cited by 9
Cho, J. R., Desai, B., Haas, M. J., Rollini, F., Franchi, F., Muñiz‐Lozano, A., Tello‐Montoliu, A., Ferrante, E., Guzmán, L. A., Bass, T. A., et al. (2013) · Journal of Cardiovascular Translational Research · doi:10.1007/s12265-013-9530-8 · Cited by 8
Gene activation regresses atherosclerosis, promotes health, and enhances longevity
Luoma, P. V. (2010) · Lipids in Health and Disease · doi:10.1186/1476-511x-9-67 · Cited by 7
“Regular physical exercise also facilitates smoking cessation that reduces total mortality by approximately one third [60].”
BackgroundInfluentialSchiavon, S., Bergamaschi, M., Pellattiero, E., et al. (2017) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.7b04597 · Cited by 8
Aortic Biomechanics and Clinical Applications
Gregory, A. J., Martino, E. S. D., Fedak, P. W. M., et al. (2022) · Anesthesiology · doi:10.1097/aln.0000000000004313 · Cited by 8
Bellino, M., Galasso, G., Silverio, A., Tedeschi, M., Formisano, C., Romei, S., Esposito, L., Cancro, F. P., Vassallo, M. G., Accarino, G., et al. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12082922 · Cited by 10
“Concurrently, several basic, translational and clinical research efforts aim to determine the etiological mechanisms underlying CAD pathogenesis [3–10] and to identify lifestyle-dependent metabolic risk factors or genetic and epigenetic parameters responsible for CAD occurrence and/or progression [11].”
BackgroundLifestyle Characteristics Assessment of Japanese in Pittsburgh, USA
Hirooka, N., Takedai, T., & D’Amico, F. (2011) · Journal of Community Health · doi:10.1007/s10900-011-9467-2 · Cited by 8
“These call for an effective intervention to modify lifestyle [2, 3].”
BackgroundHealthy aging in a green living enviromnent: A systematic review of the literature
Broekhuizen, K., de Vries, S. I., & Pierik, F. H. (2013) · TNO Repository · Cited by 8
Dietary Patterns that Decrease Cardiovascular Disease and Increase Longevity
Holligan, J. A. F. S. (2013) · Journal of Clinical & Experimental Cardiology · doi:10.4172/2155-9880.s6-006 · Cited by 9
Fraile-Bermúdez, A., Kortajarena, M., Zarrazquin, I., Irazusta, A., Fernández‐Atutxa, A., Ruiz‐Litago, F., Yanguas, J., Gil, J., & Irazusta, J. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.03.012 · Cited by 10
“The impact of lifestyle on the risk of cardiovascular disease (CVD) has been well established in numerous studies (Mozaffarian et al., 2008).”
Jahan, Y., Moriyama, M., Rahman, M. M., & Rahman, A. (2019) · Clinical Hypertension · doi:10.1186/s40885-019-0109-9 · Cited by 8
Persistent Chlamydia pneumoniae infection, inflammation and innate immunity
Lajunen, T. K. (2008) · Cited by 8
Educational differences in mortality and hospitalisation for cardiovascular diseases
Bijwaard, G. E. (2021) · Journal of Health Economics · doi:10.1016/j.jhealeco.2021.102565 · Cited by 7
García, G. R., Cámara-Liebana, D., Malagón-Aguilera, M. D. C., Pérez-Jiménez, B., Mantas‐Jiménez, S., & Roqueta-Vall-llosera, M. (2022) · Nursing Reports · doi:10.3390/nursrep12040078 · Cited by 7
Maurya, R., Bhattacharjee, G., Gohil, N., Khambhati, K., Shakhreliya, S., Bhatnagar, A., Singh, P., Ramakrishna, S., & Singh, V. (2022) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2022.09.010 · Cited by 7
The Correlation Between Achilles Tendon Thickness and Cardiovascular Risk Factors
Kwak, M. S., Yoon, S., Cho, Y., et al. (2013) · Journal of Lipid and Atherosclerosis · doi:10.12997/jla.2013.2.2.77 · Cited by 7
Cardiovascular Risk Assessment in Developing World
Chamnan, P., & Aekplakorn, W. (2017) · InTech eBooks · doi:10.5772/intechopen.69041 · Cited by 7
Sugiura, T., Dohi, Y., Takagi, Y., Yokochi, T., Yoshikane, N., Suzuki, K., Tomiishi, T., Nagami, T., Iwase, M., Takase, H., et al. (2020) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.59857 · Cited by 7
Sawyer, K., & Castaneda‐Sceppa, C. (2010) · Aging Health · doi:10.2217/ahe.10.10 · Cited by 7
Miki, T., Yamada, J., Ishida, S., Sakui, D., Kanai, M., & Hagiwara, Y. (2024) · JMIR Formative Research · doi:10.2196/56380 · Cited by 6
Impact of feature selection and feature engineering in prediction of cardiovascular diseases
Yadav, D., Rani, D., & Verma, O. P. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.111027 · Cited by 6
Pokharel, D. R., Sigdel, M., Yadav, N. K., Sapkota, L. B., Sapkota, R. M., Khadka, D., Kafle, R., Nepal, S., & Choudhary, N. K. (2015) · North American Journal of Medical Sciences · doi:10.4103/1947-2714.163642 · Cited by 6
“[32,33] Presence of many of these risk factors including insulin resistance and obesity has been shown to be strongly associated with future CHD events in diabetic peoples of all ethnic origin.[34-36] However, presence of multiple risk factors does not necessarily imply that all of our patients are already at Table 5:…”
BackgroundResultThermogenesis-based interventions for obesity and Type 2 diabetes mellitus
Wimalawansa, S. J. (2013) · Expert Review of Endocrinology & Metabolism · doi:10.1586/eem.13.13 · Cited by 6
Preventing cardiovascular disease in women
Lindquist, R. A., Witt, D., & Boucher, J. L. (2012) · Current Opinion in Cardiology · doi:10.1097/hco.0b013e328356db70 · Cited by 6
“The good news is that a majority of causes of and risk factors for CVD and CVD progression are known and most are modifiable [7].”
BackgroundKwak, J. S., Park, M. Y., & Kwon, O. (2014) · Journal of Nutrition and Health · doi:10.4163/jnh.2014.47.4.236 · Cited by 6
Prevention of Coronary Artery Disease
Duprez, D. A. (2011) · Springer eBooks · doi:10.1007/978-1-4614-1475-9_29 · Cited by 6
Promise of improving metabolic and lifestyle risk in practice
Mozaffarian, D. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60844-2 · Cited by 6
Self-citationMorrow, D. A., & Boden, W. E. (2012) · Elsevier eBooks · doi:10.1016/b978-1-4377-0398-6.00057-3 · Cited by 28
Adverse Outcome Pathways Applied to Space Radiation Research
Chauhan, V., Grybas, V. S., Hoopfer, D., Higginson, C., Ainsbury, E. A., Azimzadeh, O., Beheshti, A., Blattnig, S. R., Boerma, M., Costes, S. V., et al. (2025) · Environmental and Molecular Mutagenesis · doi:10.1002/em.70031 · Cited by 7
Implicit measurement of consumer attitudes towards whole grain products
Hellyer, N. E., Fraser, I., & Haddock‐Fraser, J. (2014) · British Food Journal · doi:10.1108/bfj-03-2013-0076 · Cited by 5
Mucheru, D., Hanlon, M., McEvoy, M., & MacDonald‐Wicks, L. K. (2017) · The JBI Database of Systematic Reviews and Implementation Reports · doi:10.11124/jbisrir-2016-003121 · Cited by 5
Diabesity: The Causes of Our Modern Plague
Hyman, M. A. (2014) · Springer eBooks · doi:10.1007/978-1-4939-0548-5_12 · Cited by 5
Influences on the physical activity of Syrian migrants in Germany: results of a qualitative study
Sauter, A., Kikhia, S., & Loss, J. (2021) · Health Promotion International · doi:10.1093/heapro/daab132 · Cited by 5
Cacau, L. T., Levy, J., Alves, M. D. A., Santos, I. D. S., Fonseca, M. D. J. M., Lotufo, P., Benseñor, I., & Marchioni, D. (2023) · European Journal of Nutrition · doi:10.1007/s00394-023-03097-w · Cited by 2
“Diet is one of the modifiable risk factors for CVD that affects cIMT [14, 15].”
BackgroundData-Driven Insights into Cardiovascular Disease Mortality: A Global Analysis of Trends and Risks
Raj, R., Garg, R., & Kaur, V. (2025) · doi:10.1109/icc-robins64345.2025.11086182 · Cited by 5
“The primary three risk factors for CVD [9] are metabolic risks (e.g., hypertension, obesity, and diabetes), behavioural risks (e.g., poor nutrition, tobacco use, and alcohol use), and environmental hazards (e.g., air pollution and lead exposure).”
Promoting health behaviour change in the cardiac patient
Tierney, P., Hughes, C., & Hamilton, S. (2011) · British Journal of Cardiac Nursing · doi:10.12968/bjca.2011.6.3.126 · Cited by 5
Tzeng, I., Liu, S., Chen, K., et al. (2016) · Medicine · doi:10.1097/md.0000000000004937 · Cited by 5
Hobbs, M., Moltchanova, E. V., Wicks, C. L., Pringle, A., Griffiths, C., Radley, D., & Zwolinsky, S. (2020) · Preventive Medicine · doi:10.1016/j.ypmed.2020.106334 · Cited by 5
“What is more, unhealthy lifestyle practices - principally the lack of physical activity, smoking, diet and alcohol - have been described as the most proximal and most foundational risk factors for many non-communicable diseases (10), and are in the top ten leading causes of disability adjusted life years (11).”
BackgroundMaldonado, A., Hoffman, R. M., Baquero, B. I., Sewell, D. K., Laroche, H. H., Afifi, R., & Gilbert, P. A. (2022) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-022-01376-y · Cited by 5
“This lack of an association might be partially attributed to the limited work exploring the underlying causes of CVD risk factors, such as poor dietary habits, physical inactivity, smoking, and drinking patterns [72].”
BackgroundSmith, S. R., Parkinson, J. E., Caitens, T., Sanders, A., Murphy, L., & Hamilton, K. (2023) · BMJ Open · doi:10.1136/bmjopen-2022-068003 · Cited by 5
Wang, S., Wen, J., Miao, D., Sun, Z., Li, D., & Pan, E. (2023) · BMC Public Health · doi:10.1186/s12889-022-14856-5 · Cited by 7
“Overfeeding, as major an unhealthy lifestyle of person, can have a strong impact on diabetes [3].”
BackgroundJournal of Cardiovascular Disease Research Celebrates its Anniversary
Deng, J. (2011) · Journal of Cardiovascular Disease Research · doi:10.4103/0975-3583.78580 · Cited by 5
“[1] The major risk factors contributing to cardiovascular diseases include heredity, high blood pressure, diabetes, obesity, and high blood cholesterol level.[2] Although a healthy diet, physical exercise, and avoiding smoking can effectively prevent cardiovascular diseases, combined medications with statin drugs to r…”
Per- and polyfluoroalkyl substances: A novel risk factor for cardiovascular disease
Chen, W., Qiu, C., Yang, Z., Nash, H., Karim, R., & Chen, Z. (2026) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2026.119955 · Cited by 6
“Beyond traditional CVD risk factors such as socioeconomic status, poor dietary habits, physical inactivity, and smoking (Mozaffarian et al., 2008; Schultz et al., 2018), there has been increasing concern over the adverse effect of environmental chemicals, particularly per-and polyfluoroalkyl…”
Çelik, M. N., Dazıroğlu, M. E. Ç., Atabılen, B., Nanì, M. F., Romano, B., Ağagündüz, D., & Capasso, R. (2026) · Food Research International · doi:10.1016/j.foodres.2026.118945 · Cited by 8
Masle, A. M., Kibel, A., Jukić, I., Čičak, P., Selthofer-Relatić, K., Stupin, A., Mihaljević, Z., Šušnjara, P., Ćurić, Ž. B., Bačun, T., et al. (2024) · Clinical Interventions in Aging · doi:10.2147/cia.s461821 · Cited by 4
Sepehrinia, M., Pourmontaseri, H., Sayadi, M., Naghizadeh, M. M., Homayounfar, R., Farjam, M., Dehghan, A., & Alkamel, A. (2024) · International Journal of Cardiology Cardiovascular Risk and Prevention · doi:10.1016/j.ijcrp.2024.200287 · Cited by 8
“Lifestyle risk factors, such as inadequate physical activity and unhealthy dietary habits, not only impact established CVD risk factors but also contribute to oxidative stress, inflammation, and dysfunction of the endothelium [34].”
BackgroundIs the Relationship Between Cardiovascular Disease and Alzheimer’s Disease Genetic? A Scoping Review
Moore, A. K., & Ritchie, M. D. (2024) · Genes · doi:10.3390/genes15121509 · Cited by 5
Questions in diabetology to be elucidated
Simon, K., Dobó, E., Szépvölgyi, A., Szalczer, E., Kazup, S., Papp, L. F., & Varga, E. (2011) · Orvosi Hetilap · doi:10.1556/oh.2011.29169 · Cited by 4
Hirooka, N., Takedai, T., & D’Amico, F. (2014) · Asia Pacific Family Medicine · doi:10.1186/1447-056x-13-3 · Cited by 4
“, cancer, CVD, hypertension, dyslipidemia, and diabetes in the past studies, research on behavior that could lead effective intervention has not been tackled adequately [14].”
BackgroundErectile Dysfunction: Etiology and Risk Factors
Pastuszak, A. W., & Khera, M. (2016) · Springer eBooks · doi:10.1007/978-3-319-31587-4_5 · Cited by 4
Paratthakonkun, C., Kaewprasert, S., Arthan, D., et al. (2019) · International Journal for Vitamin and Nutrition Research · doi:10.1024/0300-9831/a000402 · Cited by 4
Assessing diet in European populations using national dietary surveys
Rippin, H. L., Hutchinson, J., Jewell, J. M., Breda, J., & Cade, J. E. (2020) · Proceedings of The Nutrition Society · doi:10.1017/s0029665119001174 · Cited by 5
“Elevated TFA intake is estimated to cause over 500 000 deaths globally each year, and for every 2 % total energy gained from TFA there is a corresponding 2 % increase in CHD incidence(36).”
BackgroundCardio-cerebrovascular complications in COVID-19 patients: A retrospective cohort study
Hong, K., Kisiju, T., Kim, J., et al. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1045274 · Cited by 4
Risk Factors, Oxidative Stress, and Cardiovascular Disease
Fearon, I. M. (2014) · Springer eBooks · doi:10.1007/978-3-642-30018-9_46 · Cited by 5
Epidemiologic Characterization of Risk for Cardiovascular Diseases
Maki, K. C., Dicklin, M. R., & Nieman, K. M. (2018) · Contemporary cardiology · doi:10.1007/978-3-319-97622-8_1 · Cited by 4
Claudia Bambs, S., Sgombich, M., Leiva, L., Baraona, F., Margozzini, P., Pizarro, C., & Rojas, A. (2015) · Revista chilena de cardiología · doi:10.4067/s0718-85602015000300001 · Cited by 4
Heart Disease Prediction Using Artificial Neural Networks
Mukherjee, A., Manjrekar, R., Marde, A., et al. (2016) · IJSRD : international journal for scientific research and development · Cited by 4
Oxidative Stress in Cardiovascular Diseases
Andrades, M. É., & Lorenzi, R. (2011) · Wiley eBooks · doi:10.1002/9781118148143.ch11 · Cited by 4
Xu, Z., Xu, X. P., Shao, L., Xia, B., Zhou, S., Wang, S., Guo, Y., Lin, L., Zhong, H., Liu, L., et al. (2025) · Hygiene and Environmental Health Advances · doi:10.1016/j.heha.2025.100157 · Cited by 3
Mohit, M., Jamshidi, S., Mahmoudi-Zadeh, M., Elyasi, M., Soltani, M., Hejazi, N., & Masoumi, S. J. (2026) · Scientific Reports · doi:10.1038/s41598-025-33621-3 · Cited by 3
A 3-year lifestyle intervention in primary health care
Eriksson, M. (2010) · Cited by 3
Javadi, M., Jamalzehi, A., Gerami, H., Hosseini, S. K., Maljaei, M., Eslami, M., & Bahreini, A. (2019) · International Journal of Preventive Medicine · doi:10.4103/ijpvm.ijpvm_35_19 · Cited by 3
“Behavioral changes in lifestyle can reduce CVD or delay the onset of the disease.[7]According to the World Health Organization report, the mortality rate due to ischemic heart disease in the years between 1940 and 1960 increased and reached its peak in 1963, and then declined, Access this article online”
van den Belt, M., van der Haar, S., Oosterink, E., van Loenhout, T., Ishiguro, T., & Esser, D. (2022) · Nutrients · doi:10.3390/nu15010049 · Cited by 3
“Even though age and genetics can increase the risk of developing metabolic risk factors, more often it is the result of unhealthy lifestyle choices [5].”
BackgroundZhang, Y., Cheng, C., Fang, W. Y., et al. (2023) · Respiratory Medicine and Research · doi:10.1016/j.resmer.2022.100988 · Cited by 3
When the clock strikes: Modeling the relation between circadian rhythms and cardiac arrhythmias
Seenivasan, P., Menon, S. N., Sridhar, S., & Sitabhra Sinha, A. (2016) · Journal of Physics Conference Series · doi:10.1088/1742-6596/759/1/012021 · Cited by 3
A Knowledge driven Approach for Efficient Analysis of Heart Disease Dataset
Gutenkunst Ryan, N., Thamil Selvi, V., & Viswanadha, S. (2016) · International Journal of Computer Applications · doi:10.5120/ijca2016911187 · Cited by 3
SELF MANAGEMENT OF PATIENTS WITH CARDIOVASCULAR DISEASE IN THE COVID-19 PANDEMIC ERA
Muliantino, M. R. (2022) · Jurnal Endurance · doi:10.22216/jen.v7i1.832 · Cited by 3
Civilization stress, cardiovascular risk, evidence based medicine, guideline
Simon, K. (2009) · Orvosi Hetilap · doi:10.1556/oh.2009.28611 · Cited by 3
Coronary heart disease: what hope for the developing world?
Odegaard, A. (2013) · Heart · doi:10.1136/heartjnl-2012-302888 · Cited by 3
Cardiovascular Disease According to Job Type and Life Style
Yoon, W.-Y. (2016) · Journal of Digital Convergence · doi:10.14400/jdc.2016.14.2.501 · Cited by 3
Metadata
- Authors
- Mozaffarian, D., Wilson, P. W. F., & Kannel, W. B.
- Affiliations
- Boston University (US)
- Venue
- Circulation
- Published
- 2008-06-10
- Volume
- 117
- Issue
- 23
- Pages
- 3031-3038
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2080422716
- Semantic Scholar
- 44db2926f62498cbf063abbef4a9ea753762de82
- Cited by
- 456
- References
- 124
- Citations by year
- 2026: 19 · 2025: 41 · 2024: 30 · 2023: 33 · 2022: 39 · 2021: 24 · 2020: 27 · 2019: 19 · 2018: 15 · 2017: 12 · 2016: 28 · 2015: 21 · 2014: 36 · 2013: 26 · 2012: 25
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (n01hc25195-41-0-1, 1k08hl075628-01)
- National Heart, Lung, and Blood Institute (K08-HL-075628, N01‐HC25195)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- cardiovascular risk factors, lifestyle risk factors, dyslipidemia, hypertension, diabetes mellitus, physical inactivity, smoking, adiposity, inflammation, oxidative stress, endothelial function, thrombosis, cardiac arrhythmias, dietary habits, lifestyle intervention, healthcare policy, reimbursement guidelines
- MeSH terms
- Cardiovascular Diseases, Humans, Life Style, Risk Factors, Risk Reduction Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).
A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review