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2022 | 73 | 1 |

Tytuł artykułu

Effect of selected lifestyle factors on the nutrition state of elderly people with metabolic syndrome

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
Background. The formation and development of the metabolic syndrome (MetS) is largely caused by lifestyle factors. Many studies have shown that excessive consumption of simple carbohydrates, alcohol, salt, physical inactivity and smoking increase the risk of MetS. Objective. The aim of the study was to assess the nutritional status and its relationship with selected lifestyle factors in elderly people with MetS. Material and methods. 81 people aged 51-75 participated in the study. According to the guidelines, all tests were performed on an empty stomach. The comparison of individual quantitative variables between the groups was performed using the Student's t-test for independent measurements or using the Mann-Whitney U test. The relationship between quantitative variables was verified with the Spearman's correlation coefficient. All statistical tests were based on a significance level of p<0.05. Results. The BMI, the percentage of body fat and the waist circumference significantly exceed the norm for the population in the examined persons. The responses of respondents aged 51-65 show that 36% of people sweetened their drinks, 65.6% were salted their food, 51.6% consumed alcohol, and at the age of 66-75, respectively: 47.1%, 52.9%, 41.2%. There was no correlation between sweetening beverages and salting food and the concentration of glucose and lipids. However, a positive correlation was found between the amount of salt consumed and the heart rate (r=0.28, p<0.05). In both age groups, statistically significant differences in the concentration of triglycerides depending on alcohol consumption or non-consumption were found. Due to the lack of precise data on the amount of alcohol consumed, the correlation between alcohol consumption and the concentration of glucose and lipids was not analyzed. Physical activity was not undertaken by 39.1% of patients aged 51-65 years and 41.2% of patients aged 66-75 years. In the group of elderly people without physical activity, a statistically significantly higher glucose concentration was found in relation to those who were physically active (130 mg/dl vs. 105 mg/dl; p=0.031). Patients aged 51-65 who engaged physical activity had statistically significantly lower body weight, BMI, waist circumference and lean body mass, which requires further studies. Conclusions. The anthropometric indices and parameters of MetS patients indicated disturbances in the nutritional status. Unhealthy lifestyle was shown mainly in the younger group of patients 51-65 years old (they sweetened drinks more often, salted dishes, consumed alcohol). Patients with metabolic syndrome did not undertake physical activity as often as recommended.

Wydawca

-

Rocznik

Tom

73

Numer

1

Opis fizyczny

p.39-49,fig.,ref.

Twórcy

autor
  • Metabolic Diseases Clinic, Medical Center, National Institute of Public Health NIH – National Research Institute, Chocimska 24, 00-791 Warsaw, Poland
  • Department of Parasitology and Vector-Borne Diseases, National Institute of Public Health NIH – National Research Institute, Chocimska 24, 00-791 Warsaw, Poland
autor
  • Metabolic Diseases Clinic, Medical Center, National Institute of Public Health NIH – National Research Institute, Chocimska 24, 00-791 Warsaw, Poland

Bibliografia

  • 1. Alberti K.G., Eckel R.H., Grundy S.M., Zimmet P.Z., Cleeman J.I., Donato K.A., Fruchart J.CH., James W.P.T., Loria C.M., SmithJr S.C.: Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009;120:1640–1645.
  • 2. Corrao G., Rubbiati L., Bagnardi V., Zambon A., Poikolainen K.: Alcohol and coronary heart disease: a meta-analysis. Addiction. 2000;95:1505–1523.
  • 3. Freiberg M.S., Cabral H.J., Heeren T.C., Vasan R.S., Ellison R.C.: Alcohol consumption and the prevalence of the Metabolic Syndrome in the US: a crosssectional analysis of data from the Third National Health and Nutrition Examination Survey. Diabetes Care. 2004;27:2954–2959.
  • 4. O’Keefe J.H., Bybee K.A., Lavie C.J.: Alcohol and cardiovascular health: the razor-sharp double-edged sword. J Am Coll Cardiol. 2007;50:1009–1014.
  • 5. Schroder H., Morales-Molina J.A., Bermejo S., Barral D., Mándoli E.S., Grau M., Guxens M., Gil E.J., Alvarez M.D., Marrugat J.: Relationship of abdominal obesity with alcohol consumption at population scale. Eur J Nutr 2007;46:369–376.
  • 6. Whitfield J.B., Heath A.C., Madden P.A., Pergadia M.L., Montgomery G.W., Martin N.G.: Metabolic and biochemical effects of low-to-moderate alcohol consumption. Alcohol Clin Exp Res. 2013;37:575–586.
  • 7. Taylor B., Irving H.M., Baliunas D., Roerecke M., Patra J, Mohapatra S, Rehm J.: Alcohol and hypertension: gender differences in dose–response relationships determined through systematic review and metaanalysis. Addiction 2009;104:1981–1990.
  • 8. Koppes L.L., Dekker J.M., Hendriks H.F., Bouter L.M., Heine R.J.: Moderate alcohol consumption lowers the risk of type 2 diabetes: a meta-analysis of prospective observational studies. Diabetes Care 2005;28:719–725.
  • 9. Alkerwi A., Boutsen M., Vaillant M., Barre J., Lair M.L., Albert A., Guillaume M., Dramaix M.: Alcohol consumption and the prevalence of metabolic syndrome: a meta-analysis of observational studies. Atherosclerosis. 2009;204:624–635.
  • 10. Kaczmarczyk M., Trafiałek E.: Aktywizacja osób w starszym wieku jako szansa na pomyślne starzenie. Gerontologia Polska 2007;15(4):116–118.
  • 11. Jarosz M.: Nowotwory złośliwe. Jak zmniejszyć ryzyko zachorowania. PZWL, Warszawa 2008.
  • 12. Nilsen T.I., Vatten L.J.: Prospective study of colorectal cancer risk and physical activity, diabetes, blood glucose, and BMI: exploring the hyperinsulinemia hypothesis. Br. J Cancer 2001;84: 417‒422.
  • 13. Kim K.Z., Shin A., Lee J., Myung S.K., Kim J.: The beneficial effect of leisure-time physical activity on bone mineral density in pre- and postmenopausal women. Calcif Tissue Int 2012;91:178‒185. doi: 10.1007/s00223-012-9624-3.
  • 14. Imamura F., O’Connor L., Ye Z., Mursu J., Hayashino Y., Bhupathiraju S.N., Forouhi NG.: Consumption of sugar sweetened beverages, artificially sweetened beverages, and fruit juice and incidence of type 2 diabetes: systematic review, meta-analysis, and estimation of population attributable fraction. BMJ. 2015;351:h3576.
  • 15. Malik V.S., Popkin B.M., Bray G.A., Després J.P., Willett W.C., Hu F.B.: Sugar-sweetened beverages and risk of metabolic syndrome and type 2 diabetes: a metaanalysis. Diabetes Care. 2010;33:2477–2483.
  • 16. Greenwood D.C., Threapleton D.E., Evans C.E., Cleghorn C.L., Nykjaer C., Woodhead C., Budlei V.J.: Association between sugar-sweetened and artificially sweetened soft drinks and type 2 diabetes: systematic review and dose-response meta-analysis of prospective studies. Br J Nutr 2014;112:725–734.
  • 17. Te Morenga L.A., Howatson A.J., Jones R.M., Mann J.: Dietary sugars and cardiometabolic risk: systematic review and meta-analyses of randomized controlled trials of the effects on blood pressure and lipids. Am J Clin Nutr 2014;100:65–79.
  • 18. Jayalath V.H., de Souza R.J., Ha V., Mirrahimi A., Blanco-Mejia S., Buono M.D., Jenkins A.L., Leiter L.A., Wolier T.M.S., Beyene J., Kendall C.W.C., Jenkins D.A.J., Sievenpiper J.L.: Sugar-sweetened beverage consumption and incident hypertension: a systematic review and meta-analysis of prospective cohorts. Am J Clin Nutr 2015;102:914–921.
  • 19. Cheungpasitporn W., Thongprayoon C., Edmonds P.J., Srivali N., Ungprasert P., Kittanamongkolchai W., Erickson S.B.: Sugar and artificially sweetened soda consumption linked to hypertension: a systematic review and meta-analysis. Clin Exp Hypertens 2015;29:587–593.
  • 20. Chen J., Gu D., Huang J., Rao D.C., Jaquish C.E., Hixson J.E., Chen C.H.S., Chen J., Lu F., Hu D., Rice T., Kelly T.N., Hamm L.L., Whelton P.K., He J. GenSalt Collaborative Research Group: For the GenSalt Collaborative Research Group. Metabolic syndrome and salt sensitivity of blond pressure in nondiabetic people in China: a dietary intervention. Lancet 2009;373:829–835.
  • 21. Warburton D.E., Nicol C.W., Bredin S.S.: Health benefits of physical activity: the evidence. CMAJ. 2006;174:801–809.
  • 22. Sesso H.D., Paffenbarger R.S.J., Lee I.M.: Physical activity and coronary heart disease in men,The Harvard Alumni Health Study. Circulation 2000;102: 975‒980.
  • 23. Andersen L.B., Schnor P., Schroll M., Hein H.O.: Allcause mortality associated with physical activity during leisure time, work, sports, and cycling to work. Arch Intern Med. 2000; 160 (11): 1621‒1628.
  • 24. US Department of Health and Human Services Physical activity guidelines for Americans, 2nd edition. https://health.gov/paguidelines/secondedition/pdf/Physical_Activity_Guidelines_2nd_edition.pdf. Published 2018. Accessed November 29, 2018
  • 25. Lima A.H., Couto H.E., Cardoso G.A., Toscano L.T., Silva A.S., Mota M.P.G.: Aerobic training does not after blood pressure in menopausal women with metabolic syndrome. Arq Bras Cardiol. 2012;99: 979‒987.
  • 26. Yates T., Haffner S.M., Schulte P.J., Thomas L., Huffman K.M., Bales C.W., Califf R.M., Holman R.R., McMurray J.J.V., Bethel M.A., Tuomilehto J., Davies M.J., Kraus W.E.: Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis. Lancet. 2014;383(9922):1059-1066. doi:10.1016/S0140-6736(13)62061-9
  • 27. Kraus W.E., Yates T., Tuomilehto J., Sun J.L., Thomas L., McMurary J.J.V., Bethel A., Holman RR: Relationship between baseline physical activity assessed by pedometer count and new-onset diabetes in the NAVIGATOR trial. BMJ Open Diabetes Res Care. 2018;6(1):e000523. doi:10.1136/bmjdrc-2018-000523.
  • 28. Huffman K.M., Sun J.L., Thomas L., Bales C.W., Califf R.M., Yates T., Davies M.J., Holman R.R., McMurray J.J.V., Bethel M.A., Tuomilehto J., Haffner S.M., Kraus W.E.: Impact of baseline physical activity and diet behavior on metabolic syndrome in a pharmaceutical trial: results from NAVIGATOR. Metabolism. 2014;63(4):554-561. doi:10.1016/j.metabol.2014.01.002.
  • 29. Herzig K.H., Ahola R., Leppäluoto J., Jokelainen J., Jämsä T., Keinänen-Kiukaanniemi S.: Light physical activity determined by a motion sensor decreases insulin resistance, improves lipid homeostasis and reduces visceral fat in high-risk subjects: PreDiabEx study RCT. Int J Obes (Lond). 2014;38(8):1089-1096. doi:10.1038/ijo.2013.22.
  • 30. Ponsonby A.L., Sun C., Ukoumunne O.C., Pezic A., Venn A., Shaw J.E., Dunstan D.W., Barr E.L.M., Blair S.N., Cochrane J., Zimmet P.Z., Dwyer T.: Objectively measured physical activity and the subsequent risk of incident dysglycemia: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab). Diabetes Care. 2011;34(7):1497-1502. doi:10.2337/dc10-2386.
  • 31. Dwyer T., Pezic A., Sun C., Cochrane J., Venn A., Srikanth V., Jones G., Shook R.P., Sui X., Ortaglia A., Blair S., Ponsonby A.L.: Objectively measured daily steps and subsequent long term all-cause mortality: the Tasped Prospective Cohort Study. PLoS One.2015;10(11):e0141274. doi:10.1371/journal.pone.014127.
  • 32. Jefferis B.J., Parsons T.J., Sartini C., Ash S., Lennon L.T., Papacosta O., Morris R.W., Wannamethee S.G, Lee I.M., Whincup P.H.: Objectively measured physical activity, sedentary behaviour and all-cause mortality in older men: does volume of activity matter more than pattern of accumulation? Br J Sports Med. 2019;53:1013-1020; doi:10.1136/bjsports-2017-098733.
  • 33. Yamamoto N., Miyazaki H., Shimada M., Nakagawa N., Sawada S.S., Nishimuta M., Kimura Y., Kawakami R., Nagayama H., Asai H., Lee I.M., Blair S.N., Yoshitake Y.: Daily step count and all-cause mortality in a sample of Japanese elderly people: a cohort study. BMC Public Health. 2018;18(1):540. doi:10.1186/s12889-018-5434-5.
  • 34. Lee .IM., Shiroma E.J., Kamada M., Bassett D.R., Matthews C.E., Buring J.E.: Association of step volume and intensity with all-cause mortality in older women. JAMA Intern Med 2019 Aug 1;179(8):1105-1112. doi: 10.1001/jamainternmed.2019.0899.
  • 35. Informacje i opracowania statystyczne: Uczestnictwo Polaków w sporcie i rekreacji ruchowej. Warszawa, Główny Urząd Statystyczny 2009.
  • 36. Poziom aktywności fizycznej Polaków 2016. Raport Ministerstwa Sportu i Turystyki. www. Aktywnosc_fizyczna_Polakow_20163ab9%20(1).pdf (dostęp: 27.09.2017).
  • 37. Janiszewska R., Orawiec R., Nowak S.: Ocena składu ciała, otłuszczenia ogólnego i dystrybucji tkanki tłuszczowej u kobiet w procesie starzenia. Probl Hig Epidemiol. 2015;96(2):517–522,
  • 38. Wasiluk A., Saczuk J., Szyszka P., Chazan Z.: Nadwaga i otyłość w populacji 60-letnich i starszych mieszkańców Białej Podlaskiej. Medycyna Ogólna i Nauki o Zdrowiu, 2015, Tom 21, Nr 2, 227–232.

Typ dokumentu

Bibliografia

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