Associations of sociodemographic components and life-style behaviors with the danger of cardiometabolic illness: a population-based examine from the European well being interview survey in Hungary | BMC Public Health

Zhu M, Jin H, Yin Y, Xu Y, Zhu Y. Association of cardiometabolic index with all-cause and cardiovascular mortality amongst middle-aged and aged populations. Sci Rep. 2025. https://doi.org/10.1038/s41598-024-83914-2.

Google Scholar 

World. Cardiovascular illnesses (CVDs). [online] Who.int. 2021. Available at: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-%28cvds%29?utm_source=chatgpt.com.

World Health Organization. Cardiovascular illnesses. [online] World Health Organisation. 2025. Available at: https://www.who.int/health-topics/cardiovascular-diseases#tab=tab_1.

Csákvári T, Elmer D, Németh N, Palkovics Okay, Boncz I. EPH85 mortality and well being care utilization traits of cardiovascular illnesses: evaluating Hungary to OECD common. Value Health. 2022;25(7):450. https://doi.org/10.1016/j.jval.2022.04.837.

Google Scholar 

International Diabetes Federation. Facts & figures. [online]. 2024. Available at: https://idf.org/about-diabetes/diabetes-facts-figures/?utm_source=chatgpt.com.

Home R, diabetes, with L, Acknowledgement FAQ, Contact and, Policy P. (n.d.). IDF Diabetes Atlas Reports | IDF Diabetes Atlas. [online] Available at: https://diabetesatlas.

Mathieu C, Soderberg J, Del Prato S, Felton A-M, Cos X, de Beaufort C, Gautier J-F, Hauck B, Forbes A, Heine R, Schwarz P, Torbeyns B. The European diabetes discussion board (EUDF): a discussion board for turning the tide on diabetes in Europe. Diabetologia. 2022;66(2):247–52. https://doi.org/10.1007/s00125-022-05831-1.

Google Scholar 

Balakumar P, Maung-U Okay, Jagadeesh G. Prevalence and prevention of heart problems and diabetes mellitus. Pharmacol Res. 2016;113(Pt A):600–9. https://doi.org/10.1016/j.phrs.2016.09.040.

Google Scholar 

Reitsma MB, Barber RM, Roth GA, Afshin A. Abstract 034: monitoring life-style Behaviors, healthcare Access, and healthcare high quality for cardiometabolic illnesses on the State-Level from 1990–2016. Circulation. 2018;137(suppl1). https://doi.org/10.1161/circ.137.suppl_1.034.

Centers for Disease Control and Prevention (CDC). Socioeconomic components. 2023. Available at: https://www.cdc.gov/dhdsp/health_equity/socioeconomic.htm. Accessed 4 Mar 2024.

Elovainio M, Ferrie JE, Singh-Manoux A, et al. Socioeconomic variations in cardiometabolic components: social causation or health-related choice? Evidence from the Whitehall II Cohort Study, 1991–2004. Am J Epidemiol. 2011;174(7):779–89. https://doi.org/10.1093/aje/kwr149.

Google Scholar 

Eduard MS, Julio PF, Alejandra RF. Co-occurrence of cardiometabolic illness threat components: unhealthy consuming, tobacco, alcohol, sedentary life-style and socioeconomic facets. Arq Bras Cardiol. 2019. https://doi.org/10.5935/abc.20190213.

Google Scholar 

Schultz WM, Kelli HM, Lisko JC, et al. Socioeconomic standing and cardiovascular outcomes: challenges and interventions. Circulation. 2018;137(20):2166–78. https://doi.org/10.1161/CIRCULATIONAHA.117.029652.

Google Scholar 

Anderson NB, Bulatao RA, Cohen B, and National Research Council (US). Panel on Race, Ethnicity, Health Race/Ethnicity, Socioeconomic Status,Health. In: Critical views on racialethnic variations in well being in late life. Washington, DC: National Academies Press (US). 2004. Available at: https://www.ncbi.nlm.nih.gov/books/NBK25526/. Accessed 4 Mar 2024.

Carlsson AC, Starrin B, Gigante B, Leander Okay, Hellenius ML, de Faire U. Financial stress in late maturity and numerous dangers of incident heart problems and all-cause mortality in ladies and men. BMC Public Health. 2014;14:17. https://doi.org/10.1186/1471-2458-14-17.

Google Scholar 

Rosengren A, Hawken S, Ounpuu S, et al. Association of psychosocial threat components with threat of acute myocardial infarction in 11119 circumstances and 13648 controls from 52 nations (the INTERHEART examine): case-control examine. Lancet. 2004;364(9438):953–62. https://doi.org/10.1016/S0140-6736(04)17019-0.

Google Scholar 

Wändell PE, Carlsson A, Steiner KH. Prevalence of diabetes amongst immigrants within the Nordic nations. Curr Diabetes Rev. 2010;6(2):126–33. https://doi.org/10.2174/157339910790909404.

Google Scholar 

Wändell P, Ljunggren G, Wahlström L, Carlsson AC. Diabetes and psychiatric sickness within the complete inhabitants of Stockholm. J Psychosom Res. 2014;77(3):169–73. https://doi.org/10.1016/j.jpsychores.2014.06.012.

Google Scholar 

Glover G, Williams R, Heslop P, Oyinlola J, Grey J. Mortality in folks with mental disabilities in England. J Intellect Disabil Res. 2017;61(1):62–74. https://doi.org/10.1111/jir.12314.

Google Scholar 

Miranda JJ, Barrientos-Gutiérrez T, Corvalan C, et al. Understanding the rise of cardiometabolic illnesses in low- and middle-income nations. Nat Med. 2019;25(11):1667–79. https://doi.org/10.1038/s41591-019-0644-7.

Google Scholar 

Cao Y, Huynh Q, Kapoor N, et al. Associations between dietary patterns and cardiometabolic threat components—a longitudinal evaluation amongst high-risk people for diabetes in Kerala, India. Nutrients. 2022;14(3):662. https://doi.org/10.3390/nu14030662.

Google Scholar 

Petersen KS, Flock MR, Richter CK, Mukherjea R, Slavin JL, Kris-Etherton PM. Healthy dietary patterns for stopping cardiometabolic illness: the function of plant-based meals and animal merchandise. Curr Dev Nutr. 2017;1(12):cdn.117.001289. https://doi.org/10.3945/cdn.117.001289.

Google Scholar 

Meader N, King Okay, Moe-Byrne T, et al. A scientific evaluation on the clustering and co-occurrence of a number of threat behaviours. BMC Public Health. 2016;16:657. https://doi.org/10.1186/s12889-016-3373-6.

Google Scholar 

Franssen WMA, Vanbrabant E, Cuveele E, Ivanova A, Franssen GHLM, Eijnde BO. Sedentary behaviour, bodily exercise and cardiometabolic well being in extremely educated athletes: a scientific evaluation and meta-analysis. Eur J Sport Sci. 2022;22(10):1605–17. https://doi.org/10.1080/17461391.2021.1955013.

Google Scholar 

Reiter-Brennan C, Dzaye O, Davis D, Blaha M, Eckel RH. Comprehensive care fashions for cardiometabolic illness. Curr Cardiol Rep. 2021;23(3):22. https://doi.org/10.1007/s11886-021-01450-1.

Google Scholar 

Ralston J, Nugent R. Toward a broader response to cardiometabolic illness. Nat Med. 2019;25(11):1644–6. https://doi.org/10.1038/s41591-019-0642-9.

Google Scholar 

Hintzpeter B, Finger JD, Allen J, et al. European well being interview survey (EHIS) 2 – background and examine methodology. J Health Monit. 2019;4(4):66–79. https://doi.org/10.25646/6228.

Google Scholar 

Eurostat. European Health Interview Survey – methodology. 2023. Available at: https://ec.europa.eu/eurostat/statistics-explained/index.php?title=European_health_interview_survey_-_methodology. Accessed 18 May 2023.

Xu C, Cao Z. Cardiometabolic illnesses, complete mortality, and advantages of adherence to a wholesome life-style: a 13-year potential UK biobank examine. J Transl Med. 2022;20(1):234. https://doi.org/10.1186/s12967-022-03439-y.

Google Scholar 

Overview | Eurydice. https://eurydice.eacea.ec.europa.eu/national-education-systems/hungary/overview. Accessed 18 May 2023.

Ma CX, Ma XN, Guan CH, Li YD, Mauricio D, Fu SB. Cardiovascular illness in kind 2 diabetes mellitus: progress towards personalised administration. Cardiovasc Diabetol. 2022;21(1):74. https://doi.org/10.1186/s12933-022-01516-6.

Google Scholar 

Hassanein M, Sabbour H, Al Awadi F, et al. Cardiometabolic tips: cardiovascular threat evaluation and administration in sufferers with dysglycemia. Dubai Diabetes Endocrinol J. 2023;29(2):67–88. https://doi.org/10.1159/000531107.

Google Scholar 

StataCorp. Statistical software program for information science | Stata. 2024. Available at:https://www.stata.com/. Accessed 2 Apr 2024.

Lyall DM, Celis-Morales C, Ward J, et al. Association of physique mass index with cardiometabolic illness within the UK biobank: a Mendelian randomization examine. JAMA Cardiol. 2017;2(8):882–9. https://doi.org/10.1001/jamacardio.2016.5804.

Google Scholar 

Chia CW, Egan JM, Ferrucci L. Age-related modifications in glucose metabolism, hyperglycemia, and cardiovascular threat. Circ Res. 2018;123(7):886–904. https://doi.org/10.1161/CIRCRESAHA.118.312806.

Google Scholar 

Ajlouni Okay, Khader Y, Alyousfi M, Al Nsour M, Batieha A, Jaddou H. Metabolic syndrome amongst adults in Jordan: prevalence, development, and its affiliation with socio-demographic traits. Diabetol Metab Syndr. 2020;12(1):100. https://doi.org/10.1186/s13098-020-00610-7.

Google Scholar 

Arnett DK, Blumenthal RS, Albert MA, et al. 2019 ACC/AHA guideline on the first prevention of heart problems: a report of the American faculty of Cardiology/American coronary heart affiliation activity drive on medical observe tips. Circulation. 2019;140(11):e596-646. https://doi.org/10.1161/CIR.0000000000000678.

Google Scholar 

Varì R, Scazzocchio B, D’Amore A, Giovannini C, Gessani S, Masella R. Gender-related variations in life-style May have an effect on well being standing. Ann Ist Super Sanita. 2016;52(2):158–66. https://doi.org/10.4415/ANN_16_02_06.

Google Scholar 

Zhernakova DV, Sinha T, Andreu-Sánchez S, et al. Age-dependent intercourse variations in cardiometabolic threat components. Nat Cardiovasc Res. 2022;1(9):844–54. https://doi.org/10.1038/s44161-022-00131-8.

Google Scholar 

Zhou L, Nutakor JA, Larnyo E, et al. Exploring socioeconomic standing, life-style components, and cardiometabolic illness outcomes within the United States: insights from a population-based cross-sectional examine. BMC Public Health. 2024;24(1):2174. https://doi.org/10.1186/s12889-024-19685-2.

Google Scholar 

Bartoskova Polcrova A, Dalecka A, Szabo D, Gonzalez Rivas JP, Bobak M, Pikhart H. Social and environmental stressors of cardiometabolic well being. Sci Rep. 2024;14(1):14179. https://doi.org/10.1038/s41598-024-64847-2.

Google Scholar 

Svendsen MT, Bak CK, Sørensen Okay, et al. Associations of well being literacy with socioeconomic place, well being threat conduct, and well being standing: a big National population-based survey amongst Danish adults. BMC Public Health. 2020;20(1):565. https://doi.org/10.1186/s12889-020-08498-8.

Google Scholar 

Cho DY, Koo JW. Differences in metabolic syndrome prevalence by employment kind and intercourse. Int J Environ Res Public Health. 2018;15(9):1798. https://doi.org/10.3390/ijerph15091798.

Google Scholar 

Centers for Disease Control and Prevention (CDC). Know your threat for coronary heart illness. 2023. Available at: https://www.cdc.gov/heartdisease/risk_factors.htm. Accessed 29 Nov 2023.

Pan A, Wang Y, Talaei M, Hu FB, Wu T. Relation of lively, passive, and quitting smoking with incident kind 2 diabetes: a scientific evaluation and meta-analysis. Lancet Diabetes Endocrinol. 2015;3(12):958–67. https://doi.org/10.1016/S2213-8587(15)00316-2.

Google Scholar 

Yuan S, Xue HL, Yu HJ, et al. Cigarette smoking as a threat issue for kind 2 diabetes in girls in contrast with males: a scientific evaluation and meta-analysis of potential cohort research. J Public Health. 2019;41(2):e169–76. https://doi.org/10.1093/pubmed/fdy106.

Google Scholar 

Singh-Manoux A, Fayosse A, Sabia S, et al. Clinical, socioeconomic, and behavioural components at age 50 years and threat of cardiometabolic multimorbidity and mortality: a cohort examine. PLoS Med. 2018;15(5):e1002571. https://doi.org/10.1371/journal.pmed.1002571.

Google Scholar 

Bakhtiyari M, Kazemian E, Kabir Okay, et al. Contribution of weight problems and cardiometabolic threat components in growing heart problems: a population-based cohort examine. Sci Rep. 2022;12(1):1–10. https://doi.org/10.1038/s41598-022-05536-w.

Google Scholar 

Chandrasekaran P, Weiskirchen R. The function of weight problems in kind 2 diabetes mellitus—an outline. Int J Mol Sci. 2024;25(3):1882. https://doi.org/10.3390/ijms25031882.

Google Scholar 

Jayedi A, Soltani S, Motlagh SZ. Anthropometric and adiposity indicators and threat of kind 2 diabetes: systematic evaluation and dose-response meta-analysis of cohort research. BMJ. 2022. https://doi.org/10.1136/bmj-2021-067516.

Google Scholar 

Feller S, Boeing H, Pischon T. Body mass index, waist circumference, and the danger of kind 2 diabetes mellitus: implications for routine medical observe. Dtsch Arztebl Int. 2010;107(26):470. https://doi.org/10.3238/arztebl.2010.0470.

Google Scholar 

Wang B, Yang Y, Li X. Interaction of hypertension and insulin resistance exacerbates the prevalence of diabetes mellitus in wholesome people. J Diabetes Res. 2022;2022:9289812. https://doi.org/10.1155/2022/9289812.

Google Scholar 

Emdin CA, Anderson SG, Woodward M, Rahimi Okay. Usual blood strain and threat of new-onset diabetes: proof from 4.1 million adults and a meta-analysis of potential research. J Am Coll Cardiol. 2015;66(14):1552–62. https://doi.org/10.1016/j.jacc.2015.07.059.

Google Scholar 

Martin DJ, Ul-Haq Z, Nicholl BI, et al. Cardiometabolic illness and options of despair and bipolar dysfunction: population-based, cross-sectional examine. Br J Psychiatry. 2016;208(4):343–51. https://doi.org/10.1192/bjp.bp.114.157784.

Google Scholar 

Roy T, Lloyd CE. Epidemiology of despair and diabetes: a scientific evaluation. J Affect Disord. 2012;142(Suppl):S8-21. https://doi.org/10.1016/S0165-0327(12)70004-6.

Google Scholar 

Ditmars HL, Logue MW, Toomey R, et al. Associations between despair and cardiometabolic well being: a 27-year longitudinal examine. Psychol Med. 2022;52(14):3007–17. https://doi.org/10.1017/S003329172000505X.

Google Scholar 

Cheng TJ, Guo HR, Chang CY, et al. The affiliation between peptic ulcer illness and ischemic stroke. Medicine (Baltimore). 2016;95(22):e3797. https://doi.org/10.1097/MD.0000000000003797.

Google Scholar