The Gulliver syndrome is a recently proposed phenotype characterized by the simultaneous presence of multiple borderline cardiometabolic abnormalities that may represent an early stage of metabolic dysfunction. However, the contribution of modifiable lifestyle behaviors to this syndrome remains poorly understood. The aim of this study was to investigate the associations between smoking, physical activity, and adherence to the Mediterranean diet and the presence of Gulliver syndrome in a large cohort of Spanish workers.
A cross-sectional study was conducted in 395,660 Spanish workers aged 18–69 years who underwent routine occupational health examinations between 2019 and 2020. Smoking status was categorized as never, former, or current smoking, while physical activity and adherence to the Mediterranean diet were assessed using standardized questionnaires, including the International Physical Activity Questionnaire (IPAQ) and the Mediterranean Diet Adherence Screener (MEDAS). Multivariable logistic regression and multinomial logistic regression analyses were performed to identify independent associations between lifestyle behaviors and Gulliver syndrome and across different cardiometabolic profiles.
The prevalence of Gulliver syndrome was 2.76%. Physically inactive participants exhibited a substantially higher prevalence of the syndrome than physically active individuals (4.43% vs. 0.92%; p < 0.001), while workers with low adherence to the Mediterranean diet had a markedly higher prevalence than those with high adherence (4.28% vs. 0.86%; p < 0.001). In multivariable analyses, physical activity (OR: 0.40; 95% CI: 0.37–0.44) and high adherence to the Mediterranean diet (OR: 0.60; 95% CI: 0.55–0.66) were independently associated with lower odds of Gulliver syndrome. Smoking status was also significantly associated with Gulliver syndrome, with higher adjusted odds among former smokers (OR: 1.17; 95% CI: 1.11–1.23) and current smokers (OR: 1.12; 95% CI: 1.07–1.17) compared with never smokers. Similar inverse associations for physical activity and Mediterranean diet adherence were observed across progressively less favorable cardiometabolic profiles.
Physical inactivity and low adherence to the Mediterranean diet were the modifiable lifestyle factors most strongly associated with Gulliver syndrome. These findings indicate that lifestyle behaviors are associated with the presence of this recently proposed cardiometabolic phenotype. Given the cross-sectional design, prospective studies are needed to determine the temporal and prognostic significance of these associations.
Citation: Mónica Moreno Martínez, Pedro Juan Tárraga López, José Ignacio Ramírez Manent, María Teófila Vicente-Herrero, Mónica Silu Piña DAbreu, Ángel Arturo López-González. Lifestyle behaviors associated with the Gulliver syndrome: Smoking, physical activity, and Mediterranean diet in 395,660 Spanish workers[J]. AIMS Public Health, 2026, 13(4): 1104-1131. doi: 10.3934/publichealth.2026057
The Gulliver syndrome is a recently proposed phenotype characterized by the simultaneous presence of multiple borderline cardiometabolic abnormalities that may represent an early stage of metabolic dysfunction. However, the contribution of modifiable lifestyle behaviors to this syndrome remains poorly understood. The aim of this study was to investigate the associations between smoking, physical activity, and adherence to the Mediterranean diet and the presence of Gulliver syndrome in a large cohort of Spanish workers.
A cross-sectional study was conducted in 395,660 Spanish workers aged 18–69 years who underwent routine occupational health examinations between 2019 and 2020. Smoking status was categorized as never, former, or current smoking, while physical activity and adherence to the Mediterranean diet were assessed using standardized questionnaires, including the International Physical Activity Questionnaire (IPAQ) and the Mediterranean Diet Adherence Screener (MEDAS). Multivariable logistic regression and multinomial logistic regression analyses were performed to identify independent associations between lifestyle behaviors and Gulliver syndrome and across different cardiometabolic profiles.
The prevalence of Gulliver syndrome was 2.76%. Physically inactive participants exhibited a substantially higher prevalence of the syndrome than physically active individuals (4.43% vs. 0.92%; p < 0.001), while workers with low adherence to the Mediterranean diet had a markedly higher prevalence than those with high adherence (4.28% vs. 0.86%; p < 0.001). In multivariable analyses, physical activity (OR: 0.40; 95% CI: 0.37–0.44) and high adherence to the Mediterranean diet (OR: 0.60; 95% CI: 0.55–0.66) were independently associated with lower odds of Gulliver syndrome. Smoking status was also significantly associated with Gulliver syndrome, with higher adjusted odds among former smokers (OR: 1.17; 95% CI: 1.11–1.23) and current smokers (OR: 1.12; 95% CI: 1.07–1.17) compared with never smokers. Similar inverse associations for physical activity and Mediterranean diet adherence were observed across progressively less favorable cardiometabolic profiles.
Physical inactivity and low adherence to the Mediterranean diet were the modifiable lifestyle factors most strongly associated with Gulliver syndrome. These findings indicate that lifestyle behaviors are associated with the presence of this recently proposed cardiometabolic phenotype. Given the cross-sectional design, prospective studies are needed to determine the temporal and prognostic significance of these associations.
Conceptualization: M.M.M; A.A.L.G.; Data collection and analysis: P.J.T.L.; and M.S.P.A; Data curation: M.S.P.A; P.J.T.L. Methodology: M.T.V.H; M.M.M. Validation: J.I.R.M.; Formal analysis: M.T.V.H.; Investigation M.M.M; Draft: M.M.M., P.J.T.L., J.I.R.M., and M.S.P.A; Revision: A.A.L.G. and M.T.V.H. All authors have read and agreed to the published version of the manuscript
The authors declare that there are no competing interests related to this study.
| [1] | GBD 2021 Causes of Death Collaborators.Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: A systematic analysis for the Global Burden of Disease Study 2021. Lancet (2024) 403: 2100-2132. https://doi.org/10.1016/S0140-6736(24)00367-2 |
| [2] |
Roth GA, Mensah GA, Johnson CO, et al. (2020) Global burden of cardiovascular diseases and risk factors, 1990–2019: Update from the GBD 2019 study. J Am Coll Cardiol 76: 2982-3021. https://doi.org/10.1016/j.jacc.2020.11.010
|
| [3] | Ramírez Gallegos A, Valiente Pizà AG, García Pertegaz P, et al. (2025) Multimetric assessment of obesity in manual workers: The impact of age, smoking, diet, and physical activity. Acad J Health Sci 40: 91-104. [cited 2026 July 05]. Available from: https://doi.org/10.3306/AJHS.2025.40.06.8 |
| [4] |
Lloyd-Jones DM, Allen NB, Anderson CAM, et al. (2022) Life's essential 8: Updating and enhancing the American Heart Association's construct of cardiovascular health: A presidential advisory from the American Heart Association. Circulation 146: e18-e43. https://doi.org/10.1161/CIR.0000000000001078
|
| [5] | GBD 2019 Risk Factors Collaboratorsv.Global burden of 87 risk factors in 204 countries and territories, 1990–2019: A systematic analysis for the global burden of disease study 2019. Lancet (2020) 396: 1223-1249. https://doi.org/10.1016/S0140-6736(20)30752-2 |
| [6] | Mestre-Font M, Busquets-Cortés C, Ramírez-Manent JI, et al. (2024) Influence of sociodemographic variables and healthy habits on the values of type 2 diabetes risk scales. Acad J Health Sci 39: 99-106. https://doi.org/10.3306/AJHS.2024.39.02.99 |
| [7] |
Ding D, Rogers K, van der Ploeg H, et al. (2015) Traditional and emerging lifestyle risk behaviors and all-cause mortality in middle-aged and older adults: Evidence from a large population-based Australian cohort. PLoS Med 12: e1001917. https://doi.org/10.1371/journal.pmed.1001917
|
| [8] |
Chiuve SE, McCullough ML, Sacks FM, et al. (2006) Healthy lifestyle factors in the primary prevention of coronary heart disease among men: Benefits among users and nonusers of lipid-lowering and antihypertensive medications. Circulation 114: 160-167. https://doi.org/10.1161/CIRCULATIONAHA.106.621417
|
| [9] |
Jimenez-Torres J, Alcalá-Diaz JF, Torres-Peña JD, et al. (2021) Mediterranean diet reduces atherosclerosis progression in coronary heart disease: An analysis of the CORDIOPREV randomized controlled trial. Stroke 52: 3440-3449. https://doi.org/10.1161/STROKEAHA.120.033214
|
| [10] | Marina Arroyo M, Ramírez Gallegos I, López-González AA, et al. (2024) Equation Córdoba body fat values according to sociodemographic variables and healthy habits in 386924 Spanish workers. Acad J Health Sci 39: 31-39. https://doi.org/10.3306/AJHS.2024.39.05.31 |
| [11] | Tárraga Marcos PJ, López-González ÁA, Martínez-Almoyna Rifá E, et al. (2025) Variables associated with overweight and obesity in Spanish healthcare workers. Acad J Health Sci 40: 9-19. https://doi.org/10.3306/AJHS.2025.40.03.9 |
| [12] |
Lear SA, Hu W, Rangarajan S, et al. (2017) The effect of physical activity on mortality and cardiovascular disease in 130 000 people from 17 high-income, middle-income, and low-income countries: The PURE study. Lancet 390: 2643-2654. https://doi.org/10.1016/S0140-6736(17)31634-3
|
| [13] | Aguiló Juanola MC, López-González AA, Tomás-Gil P, et al. (2024) Influence of tobacco consumption on the values of different cardiometabolic risk scales in 418,343 Spanish workers. Acad J Health Sci 39: 92-98. https://doi.org/10.3306/AJHS.2024.39.02.92 |
| [14] |
Messner B, Bernhard D (2014) Smoking and cardiovascular disease: Mechanisms of endothelial dysfunction and early atherogenesis. Arterioscler Thromb Vasc Biol 34: 509-515. https://doi.org/10.1161/ATVBAHA.113.300156
|
| [15] | Visseren FLJ, Mach F, Smulders YM, et al. (2022) 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. G Ital Cardiol (Rome) 23: e3-e115. https://doi.org/10.1714/3808.37926 |
| [16] |
López-Gil JF, Abellán-Huerta J, Abellán-Alemán J (2025) The Gulliver syndrome: A conceptual framework to address therapeutic inertia in patients with borderline cardiovascular risk profiles. Front Cardiovasc Med 12: 1652447. https://doi.org/10.3389/fcvm.2025.1652447
|
| [17] | Ramírez-Manent JI, López-González ÁA, Martínez-Almoyna Rifá E, et al. (2025) Association between sociodemographic variables, healthy habits and stress with insulin resistance risk scales. Acad J Health Sci 40: 107-116. https://doi.org/10.3306/AJHS.2025.40.02.107 |
| [18] |
Després JP (2021) Body fat distribution and risk of cardiovascular disease: An update. Circulation 126: 1301-1313. https://doi.org/10.1161/CIRCULATIONAHA.111.067264
|
| [19] | (2011) International Labour OrganizationOccupational safety and health management systems: A tool for continual improvement. Geneva: International Labour Office. [cited 2026 July 05]. Available from: https://www.ilo.org/topics-and-sectors/safety-and-health-work/occupational-safety-and-health-management-systems. |
| [20] | (2019) Ministerio de Sanidad, Servicios Sociales e IgualdadGuía básica y general de orientación de las actividades de vigilancia de la salud para la prevención de riesgos laborales. Madrid: Gobierno de España. [cited 2026 July 05]. Available from: https://www.sanidad.gob.es/ciudadanos/saludAmbLaboral/docs/guiavigisalud.pdf. |
| [21] | Vicente Herrero MT, López González AA, Muñoz Ruipérez C, et al. (2025) La vacunación como herramienta preventiva desde los servicios de prevención de riesgos laborales de las empresas. Acad J Health Sci 40: 124-133. https://doi.org/10.3306/AJHS.2025.40.06.11 |
| [22] |
Banks E, Joshy G, Weber MF, et al. (2015) Tobacco smoking and all-cause mortality in a large Australian cohort study: Findings from a mature epidemic with current low smoking prevalence. BMC Med 13: 38. https://doi.org/10.1186/s12916-015-0281-z
|
| [23] |
Pirie K, Peto R, Reeves GK, et al. (2013) The 21st century hazards of smoking and benefits of stopping: A prospective study of one million women in the UK. Lancet 381: 133-141. https://doi.org/10.1016/S0140-6736(12)61720-6
|
| [24] |
Bull FC, Al-Ansari SS, Biddle S, et al. (2020) World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br J Sports Med 54: 1451-1462. https://doi.org/10.1136/bjsports-2020-102955
|
| [25] |
Craig CL, Marshall AL, Sjöström M, et al. (2003) International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc 35: 1381-1395. https://doi.org/10.1249/01.MSS.0000078924.61453.FB
|
| [26] |
Martínez-González MÁ, Hershey MS, Zazpe I, et al. (2017) Transferability of the Mediterranean diet to non-Mediterranean countries. What is and what is not the Mediterranean diet. Nutrients 9: 1226. https://doi.org/10.3390/nu9111226
|
| [27] |
Delgado-Lista J, Alcala-Diaz JF, Torres-Peña JD, et al. (2022) Long-term secondary prevention of cardiovascular disease with a Mediterranean diet and a low-fat diet (CORDIOPREV): A randomised controlled trial. Lancet 399: 1876-1885. https://doi.org/10.1016/S0140-6736(22)00122-2
|
| [28] |
Schröder H, Fitó M, Estruch R, et al. (2011) A short screener is valid for assessing Mediterranean diet adherence among older Spanish men and women. J Nutr 141: 1140-1145. https://doi.org/10.3945/jn.110.135566
|
| [29] | (2000) World Health OrganizationObesity: preventing and managing the global epidemic. Geneva: World Health Organization. [cited 2026 July 05]. Available from: https://iris.who.int/bitstreams/72fe01f6-8c54-4a64-984e-7e20f4700b44/download. |
| [30] |
Campana EMG, Brandão AA (2022) Waist circumference: A parameter of vascular health. Arq Bras Cardiol 119: 265-266. https://doi.org/10.36660/abc.20220508
|
| [31] |
Unger T, Borghi C, Charchar F, et al. (2020) 2020 International Society of Hypertension global hypertension practice guidelines. J Hypertens 38: 982-1004. https://doi.org/10.1097/HJH.0000000000002453
|
| [32] | Vicente-Herrero MT, Egea-Sancho M, Ramírez Iñiguez de la Torre MV, et al. (2024) Relación de los índices de adiposidad visceral (VAI) y adiposidad disfuncional (DAI) con las escalas de riesgo de resistencia a la insulina y prediabetes. Acad J Health Sci 39: 25-31. https://doi.org/10.3306/AJHS.2024.39.02.25 |
| [33] |
Ferrucci L, Fabbri E (2018) Inflammageing: Chronic inflammation in ageing, cardiovascular disease, and frailty. Nat Rev Cardiol 15: 505-522. https://doi.org/10.1038/s41569-018-0064-2
|
| [34] |
Wang M, Au Yeung SL, Luo S, et al. (2023) Adherence to a healthy lifestyle, genetic susceptibility to abdominal obesity, cardiometabolic risk markers, and risk of coronary heart disease. Am J Clin Nutr 118: 911-920. https://doi.org/10.1016/j.ajcnut.2023.08.002
|
| [35] |
Li Y, Pan A, Wang DD, et al. (2018) Impact of healthy lifestyle factors on life expectancies in the US population. Circulation 138: 345-355. https://doi.org/10.1161/CIRCULATIONAHA.117.032047
|
| [36] | Aguiló Juanola MC, López-González AA, Tomás-Gil P, et al. (2024) Influence of tobacco consumption and other variables on the values of different cardiovascular risk factors in 418,343 Spanish workers. Acad J Health Sci 39: 89-95. https://doi.org/10.3306/AJHS.2024.39.01.89 |
| [37] |
Tweed JO, Hsia SH, Lutfy K, et al. (2012) The endocrine effects of nicotine and cigarette smoke. Trends Endocrinol Metab 23: 334-342. https://doi.org/10.1016/j.tem.2012.03.006
|
| [38] |
Clair C, Chiolero A, Faeh D, et al. (2011) Dose-dependent positive association between cigarette smoking, abdominal obesity and body fat: Cross-sectional data from a population-based survey. BMC Public Health 11: 23. https://doi.org/10.1186/1471-2458-11-23
|
| [39] |
Hu S, Ji W, Zhang Y, et al. (2025) Risk factors for progression to type 2 diabetes in prediabetes: A systematic review and meta-analysis. BMC Public Health 25: 1220. https://doi.org/10.1186/s12889-025-21404-4
|
| [40] |
Zhu P, Pan XF, Sheng L, et al. (2017) Cigarette smoking, diabetes, and diabetes complications: Call for urgent action. Curr Diab Rep 17: 78. https://doi.org/10.1007/s11892-017-0903-2
|
| [41] |
Pedersen BK, Saltin B (2015) Exercise as medicine - evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand J Med Sci Sports 25: 1-72. https://doi.org/10.1111/sms.12581
|
| [42] |
Warburton DER, Bredin SSD (2017) Health benefits of physical activity: A systematic review of current systematic reviews. Curr Opin Cardiol 32: 541-556. https://doi.org/10.1097/HCO.0000000000000437
|
| [43] |
Green DJ, Hopman MT, Padilla J, et al. (2017) Vascular adaptation to exercise in humans: Role of hemodynamic stimuli. Physiol Rev 97: 495-528. https://doi.org/10.1152/physrev.00014.2016
|
| [44] |
Ekelund U, Tarp J, Fagerland MW, et al. (2020) Joint associations of accelero-meter measured physical activity and sedentary time with all-cause mortality: A harmonised meta-analysis in more than 44 000 middle-aged and older individuals. Br J Sports Med 54: 1499-1506. https://doi.org/10.1136/bjsports-2020-103270
|
| [45] |
Myers J, McAuley P, Lavie CJ, et al. (2015) Physical activity and cardiorespiratory fitness as major markers of cardiovascular risk: Their independent and interwoven importance to health status. Prog Cardiovasc Dis 57: 306-314. https://doi.org/10.1016/j.pcad.2014.09.011
|
| [46] |
Williams PT (2008) Reduced diabetic, hypertensive, and cholesterol medication use with walking. Med Sci Sports Exerc 40: 433-443. https://doi.org/10.1249/MSS.0b013e31815f38f1
|
| [47] |
Ross R, Blair SN, Arena R, et al. (2016) Importance of assessing cardiorespiratory fitness in clinical practice: A case for fitness as a clinical vital sign: A scientific statement from the American Heart Association. Circulation 134: e653-e699. https://doi.org/10.1161/CIR.0000000000000461
|
| [48] |
Guthold R, Stevens GA, Riley LM, et al. (2018) Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob Health 6: e1077-e1086. https://doi.org/10.1016/S2214-109X(18)30357-7
|
| [49] |
Lavie CJ, Ozemek C, Carbone S, et al. (2019) Sedentary behavior, exercise, and cardiovascular health. Circ Res 124: 799-815. https://doi.org/10.1161/CIRCRESAHA.118.312669
|
| [50] | Ramírez Gallegos A, Tárraga López JP, Ramírez Manent JI, et al. (2025) Insulin resistance risk assessed by TyG, METS-IR, and SPISE-IR scores and its association with sociodemographic and lifestyle factors in a large cohort of mechanics. Acad J Health Sci 40: 78-90. https://doi.org/10.3306/AJHS.2025.40.06.7 |
| [51] |
Mensah GA, Brown AGM, Pratt CA (2020) Nutrition disparities and cardiovascular health. Curr Atheroscler Rep 22: 15. https://doi.org/10.1007/s11883-020-0833-3
|
| [52] | Estruch R, Ros E, Salas-Salvadó J, et al. (2018) Primary prevention of cardiovascular disease with a Mediterranean diet supplemented with extra-virgin olive oil or nuts. N Engl J Med 378: e34. https://doi.org/10.1056/NEJMoa1800389 |
| [53] |
Dinu M, Pagliai G, Casini A, et al. (2018) Mediterranean diet and multiple health outcomes: An umbrella review of meta-analyses of observational studies and randomised trials. Eur J Clin Nutr 72: 30-43. https://doi.org/10.1038/ejcn.2017.58
|
| [54] |
Wallerer S, Stadelmaier J, Floegel E, et al. (2025) Adherence to Mediterranean diet and risk of type 2 diabetes: An updated systematic review and dose-response meta-analysis. Adv Nutr 16: 100562. https://doi.org/10.1016/j.advnut.2025.100562
|
| [55] |
Perreault L, Ma Y, Dagogo-Jack S, et al. (2008) Sex differences in diabetes risk and the effect of intensive lifestyle modification in the diabetes prevention program. Diabetes Care 31: 1416-1421. https://doi.org/10.2337/dc07-2390
|
| [56] |
Regitz-Zagrosek V, Kararigas G (2017) Mechanistic pathways of sex differences in cardiovascular disease. Physiol Rev 97: 1-37. https://doi.org/10.1152/physrev.00021.2015
|
| [57] |
Tramunt B, Smati S, Grandgeorge N, et al. (2020) Sex differences in metabolic regulation and diabetes susceptibility. Diabetologia 63: 453-461. https://doi.org/10.1007/s00125-019-05040-3
|
| [58] |
Karastergiou K, Smith SR, Greenberg AS, et al. (2012) Sex differences in human adipose tissues - the biology of pear shape. Biol Sex Differ 3: 13. https://doi.org/10.1186/2042-6410-3-13
|
| [59] |
Huxley RR, Woodward M (2011) Cigarette smoking as a risk factor for coronary heart disease in women compared with men: A systematic review and meta-analysis of prospective cohort studies. Lancet 378: 1297-1305. https://doi.org/10.1016/S0140-6736(11)60781-2
|
| [60] |
Knowler WC, Barrett-Connor E, Fowler SE, et al. (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. N Engl J Med 346: 393-403. https://doi.org/10.1056/NEJMoa012512
|
| [61] |
El Khoudary SR, Aggarwal B, Beckie TM, et al. (2020) Menopause transition and cardiovascular disease risk: Implications for timing of early prevention: A scientific statement from the American Heart Association. Circulation 142: e506-e532. https://doi.org/10.1161/CIR.0000000000000912
|
| [62] |
Zhu D, Chung HF, Dobson AJ, et al. (2019) Age at natural menopause and risk of incident cardiovascular disease: A pooled analysis of individual patient data. Lancet Public Health 4: e553-e564. https://doi.org/10.1016/S2468-2667(19)30155-0
|
| [63] |
Reis JP, Loria CM, Launer LJ, et al. (2013) Cardiovascular health through young adulthood and cognitive functioning in midlife. Ann Neurol 73: 170-179. https://doi.org/10.1002/ana.23836
|
| [64] |
Ference BA, Ginsberg HN, Graham I, et al. (2017) Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel. Eur Heart J 38: 2459-2472. https://doi.org/10.1093/eurheartj/ehx144
|
| [65] |
Knowler WC, Fowler SE, Hamman RF, et al. (2009) 10-year follow-up of diabetes incidence and weight loss in the diabetes prevention program outcomes study. Lancet 374: 1677-1686. https://doi.org/10.1016/S0140-6736(09)61457-4
|
| [66] |
Blumenthal JA, Babyak MA, Hinderliter A, et al. (2010) Effects of the DASH diet alone and in combination with exercise and weight loss on blood pressure and cardiovascular biomarkers in men and women with high blood pressure: The ENCORE study. Arch Intern Med 170: 126-135. https://doi.org/10.1001/archinternmed.2009.470
|
| [67] |
Proper KI, van Oostrom SH (2019) The effectiveness of workplace health promotion interventions on physical and mental health outcomes - A systematic review of reviews. Scand J Work Environ Health 45: 546-559. https://doi.org/10.5271/sjweh.3833
|
| [68] |
Grimani A, Aboagye E, Kwak L (2019) The effectiveness of workplace nutrition and physical activity interventions in improving productivity, work performance and workability: A systematic review. BMC Public Health 19: 1676. https://doi.org/10.1186/s12889-019-8033-1
|
| [69] |
Phillips LS, Branch WT, Cook CB, et al. (2001) Clinical inertia. Ann Intern Med 135: 825-834. https://doi.org/10.7326/0003-4819-135-9-200111060-00012
|
| [70] | Arnett DK, Blumenthal RS, Albert MA, et al. (2019) ACC/AHA guideline on the primary prevention of cardiovascular disease: Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 140: e563-e595. https://doi.org/10.1161/CIR.0000000000000677 |