Skip to main content
  • Research Article
  • Open access
  • Published:

Effects of Weight Loss on Vascular Function in Obese Individuals with Poor Cardiovascular Health: Design and Research Protocol of an Interventional Clinical Trial

Abstract

Introduction

Excessive adipose tissue is associated with adverse metabolic effects and is an important risk factor for chronic diseases. According to the American Heart Association, most cardiovascular events can be prevented by adhering to healthy practices, reflecting cardiovascular health as poor, intermediate, and good.

Objective

To evaluate the effect of weight loss on vascular function, metabolic profile and inflammatory markers of obese subjects with poor cardiovascular health.

Methods

Obese individuals, both sexes, aged 40–70 years, will be instructed to follow a hypocaloric diet (−800 Kcal/day) for 16 weeks. Before and after intervention, participants will undergo clinical, nutritional (anthropometry and dual energy X-ray absorptiometry), biochemical, vascular and sleep evaluation. Patients will be submitted to sympathetic tone assessment using a frequency meter Polar® RS800 (Polar Electro OY, Kempele, Finland), oscillometric pulse wave analysis by Mobil-O-Graph® (IEM, Stolberg, Germany), post-occlusive microvascular reactivity by laser speckle contrast imaging, carotid ultrasound and degree of obstructive sleep apnea through the home polysomnography device (WatchPAT 200®). Serum levels of leptin, adiponectin, interleukin-6, tumor necrosis factor-alpha and C-reactive protein will be determined. Participants will be stratified in two groups according to cardiovascular health (poor vs. intermediate/ideal). Cardiovascular health is said to be ideal by the presence of optimal health behaviors (non-smokers, adequate body mass index, physical activity level and healthy eating pattern) and health factors (blood pressure, total cholesterol and blood glucose). Ideal cardiovascular health is considered for those with five or more metrics within this qualification, intermediate for presence of three or four metrics and poor for two or less metrics.

References

  1. Ng M, Fleming T, Robinson M, Thomson B, Graetz N, Margono C, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2014;384:766–81.

    Google Scholar 

  2. Upadhyay J, Farr O, Perakakis N, Ghaly W, Mantzoros C. Obesity as a disease. Med Clin North Am 2018;102:13–33.

    Google Scholar 

  3. World Health Organization. Obesity and overweight. 2018. Available from: https://www.who.int/topics/obesity/en/ (accessed December 20, 2019).

  4. American Heart Association; American College of Cardiology; Obesity Society. Reprint: 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults. J Am Pharm Assoc (2003) 2014;54:e3.

  5. Meldrum DR, Morris MA, Gambone JC. Obesity pandemic: causes, consequences, and solutions—but do we have the will? Fertil Steril 2017;107:833–9.

  6. Kushner RF, Kahan S. Introduction: The state of obesity in 2017. Med Clin North Am 2018;102:1–11.

    Google Scholar 

  7. Kahan S, Zvenyach T. Obesity as a disease: current policies and implications for the future. Curr Obes Rep 2016;5:291–7.

    Google Scholar 

  8. Després JP. Obesity and cardiovascular disease: weight loss is not the only target. Can J Cardiol 2015;31:216–22.

    Google Scholar 

  9. Münzel T, Camici GG, Maack C, Bonetti NR, Fuster V, Kovacic JC. Impact of oxidative stress on the heart and vasculature. J Am Coll Cardiol 2017;70:212–29.

    Google Scholar 

  10. López-Domènech S, Martínez-Herrera M, Abad-Jiménez Z, Morillas C, Escribano-López I, Díaz-Morales N, et al. Dietary weight loss intervention improves subclinical atherosclerosis and oxidative stress markers in leukocytes of obese humans. Int J Obes 2019;43:2200–9.

    Google Scholar 

  11. Lévy P, Ryan S, Oldenburg O, Parati G. Sleep apnoea and the heart. Eur Respir Rev 2013;22:333–52.

    Google Scholar 

  12. Senaratna CV, Perret JL, Lodge CJ, Lowe AJ, Campbell BE, Matheson MC, et al. Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev 2017;34:70–81.

    Google Scholar 

  13. Fernandes JFR, da Silva Araújo L, Kaiser SE, Sanjuliani AF, Klein MRST. The effects of moderate energy restriction on apnoea severity and CVD risk factors in obese patients with obstructive sleep apnoea. Br J Nutr 2015;114:2022–31.

    Google Scholar 

  14. Dengo AL, Dennis EA, Orr JS, Marinik EL, Ehrlich E, Davy BM, et al. Arterial destiffening with weight loss in overweight and obese middle-aged and older adults. Hypertension 2010;55:855–61.

    Google Scholar 

  15. Ford ES, Greenlund KJ, Hong Y. Ideal cardiovascular health and mortality from all causes and diseases of the circulatory system among adults in the United States. Circulation 2012;125:987–95.

    Google Scholar 

  16. Lloyd-Jones DM, Hong Y, Labarthe D, Mozaffarian D, Appel LJ, Van Horn L, et al. Defining and setting national goals for cardiovascular health promotion and disease reduction. Circulation 2010;121:586–613.

    Google Scholar 

  17. Folsom AR, Yatsuya H, Nettleton JA, Lutsey PL, Cushman M, Rosamond WD. Community prevalence of ideal cardiovascular health, by the American Heart Association definition, and relation with cardiovascular disease incidence. J Am Coll Cardiol 2011;57:1690–6.

    Google Scholar 

  18. Ford ES, Zhao G, Tsai J, Li C. Low-risk lifestyle behaviors and all-cause mortality: findings from the national health and nutrition examination survey III mortality study. Am J Public Health 2011;101:1922–9.

    Google Scholar 

  19. Angelico F, Loffredo L, Pignatelli P, Augelletti T, Carnevale R, Pacella A, et al. Weight loss is associated with improved endothelial dysfunction via NOX2-generated oxidative stress down-regulation in patients with the metabolic syndrome. Intern Emerg Med 2012;7:219–27.

    Google Scholar 

  20. Matsudo S, Araújo T, Matsudo V, Andrade D, Andrade E, Oliveira LC, et al. Questionário Internacional de Atividade Física (IPAQ): estupo de validade e reprodutibilidade no Brasil. Rev Bras Ativ Fís Saúde 2001;6:6–18.

    Google Scholar 

  21. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 2000;894:1–253.

    Google Scholar 

  22. Onat A, Hergenç G, Yüksel H, Can G, Ayhan E, Kaya Z, et al. Neck circumference as a measure of central obesity: associations with metabolic syndrome and obstructive sleep apnea syndrome beyond waist circumference. Clin Nutr Metab 2009;28:46–51.

    Google Scholar 

  23. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem 1972;18:499–502.

    Google Scholar 

  24. Geloneze B, Repetto EM, Geloneze SR, Tambascia MA, Ermetice MN. The threshold value for insulin resistance (HOMA-IR) in an admixtured population. Diabetes Res Clin Pract 2006;72:219–20.

    Google Scholar 

  25. Akselrod S, Gordon D, Ubel FA, Shannon DC, Berger AC, Cohen RJ. Power spectrum analysis of heart rate fluctuation: a quantitative probe of beat-to-beat cardiovascular control. Science 1981;213:220–2.

    Google Scholar 

  26. D’Agostino RB, Vasan RS, Pencina MJ, Wolf PA, Cobain M, Massaro JM, et al. General cardiovascular risk profile for use in primary care: the Framingham heart study. Circulation 2008;117:743–53.

    Google Scholar 

  27. Grover SA, Kaouache M, Rempel P, Joseph L, Dawes M, Lau DCW, et al. Years of life lost and healthy life-years lost from diabetes and cardiovascular disease in overweight and obese people: a modelling study. Lancet Diabetes Endocrinol 2015;3:114–22.

    Google Scholar 

  28. Yang Q, Zhong Y, Ritchey M, Cobain M, Gillespie C, Merritt R, et al. Vital signs: predicted heart age and racial disparities in heart age among U.S. adults at the state level. MMWR Morb Mortal Wkly Rep 2015;64:950–8.

    Google Scholar 

  29. Weimin L, Rongguang W, Dongyan H, Xiaoli L, Wei J, Shiming Y. Assessment of a portable monitoring device WatchPAT 200 in the diagnosis of obstructive sleep apnea. Eur Arch Otorhinolaryngol 2013;270:3099–105.

    Google Scholar 

  30. Gan YJ, Lim L, Chong YK. Validation study of WatchPat 200 for diagnosis of OSA in an Asian cohort. Eur Arch Otorhinolaryngol 2017;274:1741–5.

    Google Scholar 

  31. Mahé G, Humeau-Heurtier A, Durand S, Leftheriotis G, Abraham P. Assessment of skin microvascular function and dysfunction with laser speckle contrast imaging. Circ Cardiovasc Imaging 2012;5:155–63.

    Google Scholar 

  32. Sichieri R, Everhart JE. Validity of a Brazilian food frequency questionnaire against dietary recalls and estimated energy intake. Nutr Res 1998;18:1649–59.

    Google Scholar 

  33. Institute of Medicine. Dietary reference intakes for energy, carbohydrate, fiber, fat, fatty acids, cholesterol, protein, and amino acids. Washington, DC: The National Academies Press; 2005, pp. 107–264.

  34. Yang Q, Cogswell ME, Flanders WD, Hong Y, Zhang Z, Loustalot F, et al. Trends in cardiovascular health metrics and associations with all-cause and CVD mortality among US adults. JAMA 2012;307:1273–83.

    Google Scholar 

  35. Sabia S, Fayosse A, Dumurgier J, Schnitzler A, Empana JP, Ebmeier KP, et al. Association of ideal cardiovascular health at age 50 with incidence of dementia: 25 year follow-up of Whitehall II cohort study. BMJ 2019;366:l4414.

  36. Fang N, Jiang M, Fan Y. Ideal cardiovascular health metrics and risk of cardiovascular disease or mortality: a meta-analysis. Int J Cardiol 2016;214:279–83.

    Google Scholar 

  37. Andersson C, Vasan RS. Epidemiology of cardiovascular disease in young individuals. Nat Rev Cardiol 2018;15:230–40.

    Google Scholar 

  38. Velasquez-Melendez G, Felisbino-Mendes MS, Matozinhos FP, Claro R, Gomes CS, Malta DC. Ideal cardiovascular health prevalence in the Brazilian population - National Health Survey (2013). Rev Bras Epidemiol 2015;18:97–108.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mario Fritsch Neves.

Additional information

Peer review under responsibility of the Association for Research into Arterial Structure and Physiology

Data availability statement: The data that support the findings of this study are available from the corresponding author, MFN, upon reasonable request.

Rights and permissions

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cunha, M.R., Mattos, S.S., Klein, M.R.S.T. et al. Effects of Weight Loss on Vascular Function in Obese Individuals with Poor Cardiovascular Health: Design and Research Protocol of an Interventional Clinical Trial. Artery Res 26, 154–160 (2020). https://doi.org/10.2991/artres.k.200731.001

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.2991/artres.k.200731.001

Keywords