International Journal of Innovative Approaches in Agricultural Research
Abbreviation: IJIAAR | ISSN (Online): 2602-4772 | DOI: 10.29329/ijiaar

Original article    |    Open Access
International Journal of Innovative Approaches in Agricultural Research 2021, Vol. 5(4) 464-475

Impacts of Breakfast Eating Behaviors on Lipid Profile of University going Students

Aneela Hameed, Tooba Ghani, Adnan Amjad, Mamoona Amir, Muhammad Sameem Javed, Muhammad Junaid Anwar & Muhammad Amir

pp. 464 - 475   |  DOI: https://doi.org/10.29329/ijiaar.2021.415.11

Published online: December 31, 2021  |   Number of Views: 73  |  Number of Download: 507


Abstract

Change in dietary patterns influenced the health status of people worldwide. The devastating burden of metabolic diseases is now the major challenge for developing economies. Mostly people skip their breakfast and used to consume higher quantities of fried foods during their craving conditions. These fried foods are leading cause of various disorders in body including hyperlipidemia and cardiovascular diseases. Current study was conducted to evaluate lipid profile and physical parameters of the graduate students (Healthy breakfast eaters, fried foods breakfast eaters and breakfast skippers). For this purpose, data collected through the questionnaire was utilized to estimate and evaluate some parameters (i.e., BMI, total proteins, total carbohydrates and total fats) about dietary habits of participants. The chemistry analyzer was utilized to determine the lipid profiling (i.e., Total cholesterol, Triglycerides, HDL, LDL, and VLDL) of selected candidates. The results depicted that the total cholesterol and triglyceride levels were observed higher in no breakfast eaters as compared to breakfast eaters and healthy breakfast eaters. Moreover, TCs (206.13±24.52mg/dl) and TGs (241.40±115.17mg/dl) were extraordinary higher in females and males of NBE groups, accordingly. HDL levels were lower and LDL levels were higher in non-breakfast eaters. BMI and Total fat were also higher in non-breakfast eaters indicating the increased health risks. Thus, to prevent chronic metabolic disorders the healthy eating pattern should be promoted.

Keywords: Lipid profiling, Cholesterol, Triglycerides, BMI, Breakfast habits


How to Cite this Article

APA 6th edition
Hameed, A., Ghani, T., Amjad, A., Amir, M., Javed, M.S., Anwar, M.J. & Amir, M. (2021). Impacts of Breakfast Eating Behaviors on Lipid Profile of University going Students . International Journal of Innovative Approaches in Agricultural Research, 5(4), 464-475. doi: 10.29329/ijiaar.2021.415.11

Harvard
Hameed, A., Ghani, T., Amjad, A., Amir, M., Javed, M., Anwar, M. and Amir, M. (2021). Impacts of Breakfast Eating Behaviors on Lipid Profile of University going Students . International Journal of Innovative Approaches in Agricultural Research, 5(4), pp. 464-475.

Chicago 16th edition
Hameed, Aneela, Tooba Ghani, Adnan Amjad, Mamoona Amir, Muhammad Sameem Javed, Muhammad Junaid Anwar and Muhammad Amir (2021). "Impacts of Breakfast Eating Behaviors on Lipid Profile of University going Students ". International Journal of Innovative Approaches in Agricultural Research 5 (4):464-475. doi:10.29329/ijiaar.2021.415.11.

References
  1. Alemany, M.,(2021). Estrogens and the regulation of glucose metabolism. World J. Diabetes, 12(10), p. 1622. [Google Scholar]
  2. Alghannam, A. F. Ghaith, M. M. and Alhussain, M. H. (2021). Regulation of Energy Substrate Metabolism in Endurance Exercise. Int. J. Environ. Res. Public Health, 18(9), 4963. [Google Scholar]
  3. Alquraishi, Band E. Rababah (2016). Lipid profiles and body mass index of young students in Jordan. bioRxiv, 042697. [Google Scholar]
  4. Alsabieh, M., M. Alqahtani, A. Altamimi, A. Albasha, A. Alsulaiman, A. Alkhamshi, S. S. Habib and S. Bashir, 2019. Fast food consumption and its associations with heart rate, blood pressure, cognitive function and quality of life. Pilot stud., Heliyon, 5(5), p.e01566. [Google Scholar]
  5. Anonymous (2001). Human Vitamin and Mineral Requirements, 2nd ed. Geneva, Switzerland. [Google Scholar]
  6. Aschemann-Witzel, J.,R. F. Gantriis, P. Fraga and F. J. Perez-Cueto (2021). Plant-based food and protein trend from a business perspective: markets, consumers, and the challenges and opportunities in the future. Critical Reviews in Food Science and Nutrition, 61(18), pp. 3119-3128. [Google Scholar]
  7. Ashakiran, D. R andR. Deepthi (2012). Fast foods and their impact on health. Journal of Krishna Institute of Medical Sciences University, 1(2), 7-15. [Google Scholar]
  8. Assmann, G.,H. Schulte, A. von Eckardstein andY. Huang (1996). High-density lipoprotein cholesterol as a predictor of coronary heart disease risk. The PROCAM experience and pathophysiological implications for reverse cholesterol transport. Atherosclerosis, 124, S11-S20. [Google Scholar]
  9. Ben-Aicha, S.,L. Badimon andG. Vilahur (2020). Advances in HDL: Much more than lipid transporters. Int.J. Mol. Sci., 21(3), 732. [Google Scholar]
  10. Chait, A., H. N. Ginsberg, T. Vaisar, J. W. Heinecke, I. J. Goldberg and K. E. Bornfeldt (2020). Remnants of the triglyceride-rich lipoproteins, diabetes, and cardiovascular disease. Diabetes, 69(4), pp. 508-516. [Google Scholar]
  11. Cutumisu, N.,I. Traoré, M. C. Paquette, L. Cazale, H. Camirand, B. Lalonde andE. Robitaille (2017). Association between junk food consumption and fast-food outlet access near school among Quebec secondary-school children: findings from the Quebec Health Survey of High School Students (QHSHSS) 2010–11. Public Health Nutr., 20(5), 927-937. [Google Scholar]
  12. Dettlaff, A. J andR. Boyd (2020). Racial disproportionality and disparities in the child welfare system: Why do they exist, and what can be done to address them?. Ann. Am. Acad. Pol. Soc. Sci., 692(1), 253-274. [Google Scholar]
  13. Fayet-Moore, F.,A. McConnell, T. Cassettari, andP. Petocz (2019). Breakfast choice is associated with nutrient, food group and discretionary intakes in Australian adults at both breakfast and the rest of the day. Nutrients, 11(1), 175. [Google Scholar]
  14. Foreign Agricultural Service (FAS) (2011) Oilseeds: World Markets and Trade. Circular Series, 07–11. Washington, DC: USDA Foreign Agricultural Service. [Google Scholar]
  15. Friedewald, W. T.,R. I. Levy andD. S. Fredrickson (1972). Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clinic.Chem., 18(6), 499-502. [Google Scholar]
  16. Fuhrman, J (2018). The hidden dangers of fast and processed food. Am.J. lifestyle Med., 12(5), 375-381. [Google Scholar]
  17. García-Calzón, S., A. Perfilyev, V. D. de Mello, J. Pihlajamäki and C. Ling (2018). Sex differences in the methylome and transcriptome of the human liver and circulating HDL-cholesterol levels. J. Clin. Endocrinol. Metab., 103(12), 4395-4408. [Google Scholar]
  18. Gong, L.,W.  Cao, H. Chi, J. Wang, H. Zhang, J. Liu andB.  Sun (2018). Whole cereal grains and potential health effects: Involvement of the gut microbiota. Food Res. Int., 103, 84-102. [Google Scholar]
  19. Hongbao, M. Ma, M. and Yan, Y. Renal and sterol regulatory element binding protein (SREBP) research literatures. [Google Scholar]
  20. Kazi, R. N. A.,M. M. L. El-KashifandS. M. Ahsan (2020). Prevalence of salt rich fast food consumption: A focus on physical activity and incidence of hypertension among female students of Saudi Arabia. Saudi J. Biol. Sci., 27(10), 2669-2673. [Google Scholar]
  21. Kontush, A (2020). HDL and Reverse Remnant-Cholesterol Transport (RRT): relevance to cardiovascular disease. Trends Mol. Med. [Google Scholar]
  22. LaPelusa, A and R. Kaushik (2020). Physiology, Proteins. StatPearls [Internet]. [Google Scholar]
  23. Lechner, K., A. L. McKenzie, N. Kränkel, C. Von Schacky, N. Worm, U. Nixdorff, B. Lechner, J. Scherr, O. Weingärtner and R. M. Krauss,  2020. High-risk atherosclerosis and metabolic phenotype: the roles of ectopic adiposity, atherogenic dyslipidemia, and inflammation. Metab. Syndr. Relat. Disord., 18(4), pp.176-185. [Google Scholar]
  24. Lemmens, H. J., J. B. Brodsky and D. P. Bernstein (2005). Estimating ideal body weight–a new formula. Obes.Surg., 15(7), 1082-1083. [Google Scholar]
  25. Lv, C., W. Zhang, X. Tan, X. Shang, M. A. Găman, H. Salem, A. Abu-Zaid and X. Wang (2021). The effect of tibolone treatment on lipid profile in women: a systematic review and dose-response meta-analysis of randomized controlled trials. Pharmacol.Res., p.105612. [Google Scholar]
  26. Madu, A. N andF. O. Yakubu (2018). Estimation of Total Cholesterol in Selected Tropical Cow Meat Parts in Ogun State Nigeria. [Google Scholar]
  27. Maffeis, C.,M. Cendon, F. Tomasselli, M. Tommasi, I. Bresadola, E. Fornari, A. Morandi and F.  Olivieri (2021). Lipid and saturated fatty acids intake and cardiovascular risk factors of obese children and adolescents. European J. Clin. Nutr., 75(7), pp. 1109-1117. [Google Scholar]
  28. McIver, V. J (2020). Gastrointestinal Function and Metabolic Responses to Fasted Exercise; Implications for Food, Energy Intake and Obesity (Doctoral dissertation, Manchester Metropolitan University). [Google Scholar]
  29. Mendoza-Caamal, E. C., F. Barajas-Olmos, H. García-Ortiz, I. Cicerón-Arellano, A. Martínez-Hernández, E. J. Córdova, M. Esparza-Aguilar, C. Contreras-Cubas, F. Centeno-Cruz, M. Cid-Soto and M. E. Morales-Marín (2020). Metabolic syndrome in indigenous communities in Mexico: a descriptive and cross-sectional study. BMC Public Health, 20(1), pp.1-8. [Google Scholar]
  30. Miao, J., X. Zang, X. Cui and J. Zhang (2020). Autophagy, hyperlipidemia, and atherosclerosis. In Autophagy: Biology and Diseases (pp. 237-264). Springer, Singapore. [Google Scholar]
  31. Moszak, M.,M. Szulińska and P. Bogdański (2020). You are what you eat—the relationship between diet, microbiota, and metabolic disorders—A review. Nutrients, 12(4), 1096. [Google Scholar]
  32. Obniski, R.M. Sieber and A. C. Spradling (2018). Dietary lipids modulate Notch signaling and influence adult intestinal development and metabolism in Drosophila. Dev. cell, 47(1), 98-111. [Google Scholar]
  33. Ouimet, M.,T. J. BarrettandE. A. Fisher (2019). HDL and reverse cholesterol transport: Basic mechanisms and their roles in vascular health and disease. Circ.Res., 124(10), 1505-1518. [Google Scholar]
  34. Papotti, B.,J. Julve, F. Potì and I. Zanotti (2021). Impact of dietary lipids on the reverse cholesterol transport: What we learned from animal studies. Nutrients, 13(8), 2643. [Google Scholar]
  35. Potcoava, M. C., G. L. Futia, E. A. Gibson and I. R. Schlaepfer (2021). Lipid profiling using Raman and a modified support vector machine algorithm. J. Raman Spectrosc. [Google Scholar]
  36. Sabatine, M. S., S. D. Wiviott, K. Im, S. A. Murphy and R. P.  Giugliano (2018). Efficacy and safety of further lowering of low-density lipoprotein cholesterol in patients starting with very low levels: a meta-analysis. JAMA cardiol., 3(9), 823-828. [Google Scholar]
  37. Salih, K. J (2021). The major pathways of lipids (triglyceride and cholesterol) and lipoprotein metabolism. Zanco J. Pure Appl. Sci., 33(4), 61-72. [Google Scholar]
  38. Sekimoto, T.,S. Koba, H. Mori, R. Sakai, T. Arai, Y. Yokota, S. Sato, H. Tanaka, R. Masaki, Y. Oishi and K. Ogura (2021). Small Dense Low-Density Lipoprotein Cholesterol: A Residual Risk for Rapid Progression of Non-Culprit Coronary Lesion in Patients with Acute Coronary Syndrome. J. Atheroscler. and Throm., 60152. [Google Scholar]
  39. Sigit, F. S.,D. L. Tahapary, S. Trompet, E. Sartono, K. W. Van Dijk, F. R. Rosendaal, and R. De Mutsert, (2020). The prevalence of metabolic syndrome and its association with body fat distribution in middle-aged individuals from Indonesia and the Netherlands: A cross-sectional analysis of two population-based studies. Diabetol. metab. syndr., 12(1), pp. 1-11. [Google Scholar]
  40. Sila, S.,A. Ilić, M. Mišigoj-Duraković, M. Sorić, I. Radman and Z. Šatalić (2019). Obesity in adolescents who skip breakfast is not associated with physical activity. Nutrients, 11(10), p. 2511. [Google Scholar]
  41. Srour, B., L. K. Fezeu, E. Kesse-Guyot, B. Allès, C. Méjean, R. M. Andrianasolo, E. Chazelas, M. Deschasaux, S. Hercberg, P. Galan and C. A. Monteiro (2019). Ultra-processed food intake and risk of cardiovascular disease: prospective cohort study (NutriNet-Santé). bmj, 365. [Google Scholar]
  42. Stockbridge, H., R. I. Hardy andC. J. Glueck (1989). Photometric determination of cholesterol (CHOD-PAP method). J. Labor. Clin. Med., 114, 142–151. [Google Scholar]
  43. Taxová Braunerová, R.,M. Kunešová, M. M. Heinen, H. Rutter, M. Hassapidou, V. Duleva, I. Pudule, A. Petrauskienė, A. Sjöberg, L. Lissner and I. Spiroski (2021). Waist circumference and waist‐to‐height ratio in 7‐year‐old children—WHO Childhood Obesity Surveillance Initiative. Obes. Rev., p. e13208. [Google Scholar]
  44. Van der Werf, E. T., M. Busch, M. C. Jong andH. J. Hoenders (2021). Lifestyle changes during the first wave of the COVID-19 pandemic: a cross-sectional survey in the Netherlands. BMC public health, 21(1), 1-11. [Google Scholar]
  45. Wiss, D. A (2019). The role of nutrition in addiction recovery: what we know and what we don't. The assessment and treatment of addiction, 21-42. [Google Scholar]
  46. Witbracht, M., N. L. Keim, S. Forester, A. Widaman and K. Laugero (2015). Female breakfast skippers display a disrupted cortisol rhythm and elevated blood pressure. Physiology & behavior, 140, 215-221. [Google Scholar]
  47. Workgroup, K. D (2005). K/DOQI clinical practice guidelines for cardiovascular disease in dialysis patients. Am. J. Kidney Dis., 45, S1-S153. [Google Scholar]
  48. Young, K. A.,A. Maturu, C. Lorenzo, C. D. Langefeld, L. E. Wagenknecht, Y. D. I. Chen, K. D. Taylor, J. I. Rotter, J. M. Norris and N. Rasouli (2019). The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of insulin resistance, β-cell function, and diabetes in Hispanics and African Americans. J. diabetes complications, 33(2), pp. 118-122. [Google Scholar]
  49. Zaki, N. F.,D. W. Spence, P. Subramanian, V. K. Bharti, R. Karthikeyan, A. S.  BaHammam and S. R. Pandi-Perumal (2020). Basic chronobiology: what do sleep physicians need to know?. Sleep Science, 13(4), 256. [Google Scholar]
  50. Zhao, Q.,T. Y. Zhang, Y. J. Cheng, Y. Ma, Y. K. Xu, J. Q. Yang andY. J. Zhou (2020). Impacts of triglyceride-glucose index on prognosis of patients with type 2 diabetes mellitus and non-ST-segment elevation acute coronary syndrome: results from an observational cohort study in China. Cardiovasc. Diabetol., 19(1), 1-19. [Google Scholar]