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ITM

Proverite svoj ITM pomoću ITM kalkulatora

Indeks telesne mase (ITM) često se koristi kao jednostavan i brz pokazatelj količine telesne masti i povezanih zdravstvenih rizika. Na osnovu visine i telesne težine, ITM kalkulator omogućava da se rezultat svrstava u odgovarajuću kategoriju - od pothranjenosti do gojaznosti trećeg stepena.

3 min. čitanja

Izračunajte svoj ITM i procenite zdravstvene rizike

Metričke Imperijalne jedinice
Metričke / Imperijalne jedinice

Izračunajte svoj ITM i procenite zdravstvene rizike

Unesite svoju visinu i težinu u ITM kalkulator i podelite težinu (u kilogramima) sa kvadratom visine (u metrima). Dobijeni rezultat možete uporediti sa zvaničnom klasifikacijom ITM-a prema Svetskoj zdravstvenoj organizaciji (SZO):

KategorijaITM vrednost
Pothranjenostispod 18.5
Normalna uhranjenost18.5-24.9
Prekomerna težina25.0-29.9
Gojaznost30 i više
Gojaznost 1. stepena30.0-34.9
Gojaznost 2. stepena35.0-39.9
Gojaznost 3. stepena40 i više

*Napomena: ITM kalkulator je namenjen odraslima starijim od 20 godina. Za mlađe osobe potrebno je konsultovati lekara.

Zašto je važno znati svoj ITM?

ITM vam može pomoći da na vreme prepoznate rizik od bolesti povezanih sa gojaznošću. Što je veći ITM, veći je rizik od razvoja hroničnih stanja kao što su:

  • Dijabetes tipa 2
  • Kardiovaskularne bolesti
  • Moždani udar
  • Povišen krvni pritisak
  • Neplodnost
  • Depresija i anksioznost
  • Infarkt i koronarna bolest srca
  • Poremećaji masnoća u krvi (dislipidemija)
  • MASLD i MASH (oblici bolesti masne jetre)
  • GERB (gastroezofagealna refluksna bolest)
  • Metabolički sindrom (MetS)
  • Urinarna inkontinencija
  • Opstruktivna apneja u snu
  • Hronična bolest bubrega
  • Pojedini oblici raka (dojke, debelog creva, jajnika, bubrega, pankreasa…)
  • Osteoartritis kolena
  • Kamen u žuči
  • Tromboza
  • Giht
  • Povećan rizik od smrti u poređenju sa onima koji imaju normalan opseg ITM-a

Ako imate povišen ITM, razgovarajte sa svojim lekarom o strategijama koje će pomoći da smanjite rizik i zaštitite svoje zdravlje.

Ograničenja ITM-a

Iako je ITM jednostavan i objektivan pokazatelj, nije uvek savršeno precizan. Njegova tačnost može biti smanjena kod starijih osoba, sportista, osoba sa izraženom mišićnom masom ili onih čija je građa neuobičajeno visoka ili niska. Na primer, vrhunski sportisti mogu imati visok ITM zbog mišića, a ne zbog viška masti.

Takođe, ITM ne uzima u obzir:

  • Nasledne faktore rizika povezane sa gojaznošću (npr. metabolički sindrom)
  • Faktore životne sredine i životnog stila koji utiču na zdravlje
  • Raspodelu telesne masti (posebno masno tkivo u predelu abdomena)

Važno je zapamtiti da ni visok ITM ne znači uvek loše zdravlje, niti normalna telesna težina uvek znači odsustvo rizika. ITM je alat, a ne presuda - njegovo razumevanje može pomoći da preuzmete kontrolu nad svojim zdravljem.

Kako ITM i odnos struka i visine otkrivaju rizik za srce

Vaše srce ne vidi samo broj na vagi – ono „osluškuje“ način na koji se telesna masa raspoređuje. Osobe sa predgojaznošću ili gojaznošću imaju povećan rizik od razvoja kardiovaskularnih bolesti (KVB), uključujući visok krvni pritisak, povišen holesterol i druge srčane probleme.

I ITM i odnos obima struka i visine mogu biti korisni alati za procenu ovog rizika. ITM meri odnos visine i težine i pomaže u klasifikaciji gojaznosti. Međutim, kalkulator za odnos obima struka i visine ide korak dalje – on pokazuje kako je masno tkivo raspoređeno u telu. Masnoća u predelu stomaka posebno je povezana sa većim rizikom od bolesti srca.

Poznavanje oba pokazatelja daje vam jasniju sliku o zdravlju vašeg srca i pomaže da na vreme preduzmete korake za očuvanje zdravlja.

Izračunajte svoj odnos struka i visine ovde i saznajte šta rezultati znače za vas.

Reference
  • Lopez-Jimenez F, Almahmeed W, Bays H, et al. Obesity and cardiovascular disease: mechanistic insights and management strategies. A joint position paper by the World Heart Federation and World Obesity Federation. Eur J Prev Cardiol. 2022 Dec 7;29(17):2218-2237. doi: 10.1093/eurjpc/zwac187. PMID: 36007112.
  • Zhang, S., Fu, X., Du, Z. et al. Is waist-to-height ratio the best predictive indicator of cardiovascular disease incidence in hypertensive adults? A cohort study. BMC Cardiovasc Disord 22, 214 (2022). https://doi.org/10.1186/s12872-022-02646-1
  • Rueda-Clausen, C F et al, “Assessment of People Living with Obesity,” Can. Adult Obes. Clin. Pract. Guidel., pp. 1–17, 2020, [Online]. Available: http://obesitycanada.ca/wp-content/uploads/2020/09/6-Obesity-Assessment-v5-with-links.pdf.
  • Yumuk, V et al, “European Guidelines for Obesity Management in Adults” Obes Facts. 2015 Dec; 8(6): 402–424. Published online 2015 Dec 5. doi: 10.1159/000442721.
  • Garvey, W T et al, “American Association of Clinical Endocrinologists and American College of Endocrinology comprehensive clinical practice guidelines for medical care of patients with obesity.” Endocrine Practice 2016;22:1–203. DOI:https://doi.org/10.4158/EP161365.GL
  • Guh, D P et al, “The incidence of co-morbidities related to obesity and overweight: A systematic review and meta-analysis,” BMC Public Health, vol. 9, no. 1, p. 88, 2009, doi: 10.1186/1471-2458-9-88.
  • Prospective Studies Collaboration, “Body-mass index and cause-specific mortality in 900000 adults: collaborative analyses of 57 prospective studies,” Lancet, vol. 373, no. 9669, pp. 1083–1096, Mar. 2009, doi: 10.1016/S0140-6736(09)60318-4.
  • “Obesity Screening – Medline Plus, U.S. National Library of Medicine” Available: https://medlineplus.gov/lab-tests/obesity-screening/.
  • “Assessing Your Weight and Health Risk – National Heart, Lung, and Blood Association – U.S. Department of Health & Human Services” Available: https://www.nhlbi.nih.gov/health/educational/lose_wt/risk.htm.
  • Hussain, A et al, “Type 2 Diabetes and obesity: A review” Journal of Diabetology, June 2010; 2:1.
  • Katzmarzyk, P T et al, “Body mass index and risk of cardiovascular disease, cancer and all-cause mortality” Can. J. Public Health, vol. 103, no. 2, pp. 147–151, 2012, doi: 10.1007/BF03404221.
  • Kurth, T et al, “Prospective Study of Body Mass Index and Risk of Stroke in Apparently Healthy Women,” Circulation, vol. 111, no. 15, pp. 1992–1998, Apr. 2005, doi: 10.1161/01.CIR.0000161822.83163.B6.
  • Landi, F et al, “Body Mass Index is Strongly Associated with Hypertension: Results from the Longevity Check-Up 7+ Study” Nutrients. 2018 Dec; 10(12): 1976. Published online 2018 Dec 13. doi: 10.3390/nu10121976.
  • Dağ, Z Ö et al, “Impact of obesity on infertility in women,” J. Turkish Ger. Gynecol. Assoc., vol. 16, no. 2, pp. 111–117, Jun. 2015, doi: 10.5152/jtgga.2015.15232.
  • Moussa, O M et al, “Effect of body mass index on depression in a UK cohort of 363037 obese patients: A longitudinal analysis of transition,” Clin. Obes., vol. 9, no. 3, p. e12305, Jun. 2019, doi: https://doi.org/10.1111/cob.12305.
  • Zhao, G et al, “Depression and anxiety among US adults: associations with body mass index,” Int. J. Obes., vol. 33, no. 2, pp. 257–266, 2009, doi: 10.1038/ijo.2008.268.
  • Lamon-Fava, S et al, “Impact of Body Mass Index on Coronary Heart Disease Risk Factors in Men and Women,” Arterioscler. Thromb. Vasc. Biol., vol. 16, no. 12, pp. 1509–1515, Dec. 1996, doi: 10.1161/01.ATV.16.12.1509.
  • Van Hemelrijck, M et al, “Longitudinal study of body mass index, dyslipidemia, hyperglycemia, and hypertension in 60,000 men and women in Sweden and Austria” Published: June 13, 2018https://doi.org/10.1371/journal.pone.0197830.
  • Loomis, A K et al, “Body Mass Index and Risk of Nonalcoholic Fatty Liver Disease: Two Electronic Health Record Prospective Studies,” J. Clin. Endocrinol. Metab., vol. 101, no. 3, pp. 945–952, Mar. 2016, doi: 10.1210/jc.2015-3444.
  • Zafar, S et al, “Correlation of gastroesophageal reflux disease symptoms with body mass index,” Saudi J. Gastroenterol., vol. 14, no. 2, pp. 53–57, Apr. 2008, doi: 10.4103/1319-3767.39618.
  • Han, T S et al, “A clinical perspective of obesity, metabolic syndrome and cardiovascular disease,” JRSM Cardiovasc. Dis., vol. 5, pp. 2048004016633371–2048004016633371, Feb. 2016, doi: 10.1177/2048004016633371.
  • Subak, L L et al, “Obesity and Urinary Incontinence: Epidemiology and Clinical Research Update” J Urol. 2009 Dec; 182(6 Suppl): S2–S7 doi: 10.1016/j.juro.2009.08.071.
  • Romero-Corral, A et al, “Interactions Between Obesity and Obstructive Sleep Apnea - Implications for Treatment” Chest. 2010 Mar; 137(3): 711–719. doi: 10.1378/chest.09-0360.
  • Herrington, W G et al, “Body-mass index and risk of advanced chronic kidney disease: Prospective analyses from a primary care cohort of 1.4 million adults in England,” PLoS One, vol. 12, no. 3, p. e0173515, Mar. 2017, [Online]. Available: https://doi.org/10.1371/journal.pone.0173515.
  • Bhaskaran, K et al, “Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UK adults,” Lancet, vol. 384, no. 9945, pp. 755–765, Aug. 2014, doi: 10.1016/S0140-6736(14)60892-8.
  • Zheng, H et al, “Body mass index and risk of knee osteoarthritis: Systematic review and meta-analysis of prospective studies,” BMJ Open, vol. 5, no. 12, 2015, doi: 10.1136/bmjopen-2014-007568.
  • Su, Y P et al, “Strong association between metabolically-abnormal obesity and gallstone disease in adults under 50 years” BMC Gastroenterol 19, 117 (2019). https://doi.org/10.1186/s12876-019-1032-y.
  • Yang, G et al, “The effects of obesity on venous thromboembolism: A review” Open J Prev Med. 2012 Nov; 2(4): 499–509. doi: 10.4236/ojpm.2012.24069.
  • Bai, L et al, “Incident gout and weight change patterns: a retrospective cohort study of US adults” Arthritis Res Ther. 2021; 23: 69. Published online 2021 Mar 2. doi: 10.1186/s13075-021-02461-7.
  • Klatsky, A L et al, “Body Mass Index and Mortality in a Very Large Cohort: Is It Really Healthier to Be Overweight?,” Perm. J., vol. 21, pp. 16–142, 2017, doi: 10.7812/TPP/16-142.
  • Heymsfield, S B et al, “Why are there race/ethnic differences in adult body mass index-adiposity relationships? A quantitative critical review,” Obes. Rev., vol. 17, no. 3, pp. 262–275, Mar. 2016, doi: 10.1111/obr.12358.
  • “Ethnic Differences in BMI and Disease Risk | Obesity Prevention Source | Harvard T.H. Chan School of Public Health.” [Online]. Available: https://www.hsph.harvard.edu/obesity-prevention-source/ethnic-differences-in-bmi-and-disease-risk/.
  • Cossrow, N et al, “Race/Ethnic Issues in Obesity and Obesity-Related Comorbidities,” J. Clin. Endocrinol. Metab., vol. 89, no. 6, pp. 2590–2594, Jun. 2004, doi: 10.1210/jc.2004-0339.
  • “Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies – Public Health – WHO international” Available: https://www.who.int/nutrition/publications/bmi_asia_strategies.pdf.
  • Deurenberg-Yap, M et al, “The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore.” Int J Obes Relat Metab Disord. 2000 Aug;24(8):1011-7. doi: 10.1038/sj.ijo.0801353. PMID: 10951540.
  • Valentino, G et al, “Body fat and its relationship with clustering of cardiovascular risk factors” Nutr Hosp. 2015;31(5):2253-2260 ISSN 0212-1611 • CODEN NUHOEQ S.V.R. 318.
  • Lear, S A et al, “Ethnic Variation in Fat and Lean Body Mass and the Association with INS Resistance” The Journal of Clinical Endocrinology & Metabolism, Volume 94, Issue 12, 1 December 2009, Pages 4696–4702, https://doi.org/10.1210/jc.2009-1030.
  • Tillin, T et al, “The relationship between metabolic risk factors and incident cardiovascular disease in Europeans, South Asians, and African Caribbeans: SABRE (Southall and Brent Revisited) -- a prospective population-based study,” J. Am. Coll. Cardiol., vol. 61, no. 17, pp. 1777–1786, Apr. 2013, doi: 10.1016/j.jacc.2012.12.046.
  • Tanne, D et al, “Body Fat Distribution and Long-Term Risk of Stroke Mortality” Stroke. Originally published 31 Mar 2005 https://doi.org/10.1161/01.STR.0000162584.39366.1c.
  • Chen, Y et al, “Association between body mass index and cardiovascular disease mortality in east Asians and south Asians: pooled analysis of prospective data from the Asia Cohort Consortium,” BMJ Br. Med. J., vol. 347, p. f5446, Oct. 2013, doi: 10.1136/bmj.f5446.
  • Wen, C P et al, “Are Asians at greater mortality risks for being overweight than Caucasians? Redefining obesity for Asians” Public Health Nutrition, 12(4), 497-506. doi:10.1017/S1368980008002802.
  • J. S. for the S. of O. The Examination Committee of Criteria for `Obesity Disease’ in Japan, “New Criteria for `Obesity Disease’ in Japan,” Circ. J., vol. 66, no. 11, pp. 987–992, 2002, doi: 10.1253/circj.66.987.
  • Zheng, W et al, “Association between Body-Mass Index and Risk of Death in More Than 1 Million Asians,” N. Engl. J. Med., vol. 364, no. 8, pp. 719–729, Feb. 2011, doi: 10.1056/NEJMoa1010679.
  • Aekplakorn, W et al, “Obesity indices and cardiovascular risk factors in Thai adults.” Int J Obes 30, 1782–1790 (2006). https://doi.org/10.1038/sj.ijo.0803346.
  • Choi, S E et al, “Do Risk Factors Explain the Increased Prevalence of Type 2 Diabetes Among California Asian Adults?” J Immigr Minor Health. 2011; 13(5): 803–808. Published online 2010 Oct 9. doi: 10.1007/s10903-010-9397-6.
  • Swinburn, B et al, “Body size and composition in Polynesians” Int J Obes 23, 1178–1183 (1999). https://doi.org/10.1038/sj.ijo.0801053.
  • Young, D R et al, “Associations of overweight/obesity and socioeconomic status with hypertension prevalence across racial and ethnic groups,” J. Clin. Hypertens., vol. 20, no. 3, pp. 532–540, Mar. 2018, doi: https://doi.org/10.1111/jch.13217.
  • Maskarinec, G et al, “Diabetes Prevalence and Body Mass Index Differ by Ethnicity: The Multiethnic Cohort” Ethn Dis. 2009; 19(1): 49–55. PMCID: PMC2702477.
  • Aleman-Mateo, H et al, “Elderly Mexicans have less muscle and greater total and truncel fat compared to African-Americans and Caucasians with the same BMI” J Nutr Health Aging. 2009 Dec; 13(10): 919. doi: 10.1007/s12603-009-0252-1.
  • Cossrow, N et al, “Race/Ethnic Issues in Obesity and Obesity-Related Comorbidities” The Journal of Clinical Endocrinology & Metabolism, Volume 89, Issue 6, 1 June 2004, Pages 2590–2594, https://doi.org/10.1210/jc.2004-0339.
  • Berber, A et al, “Anthropometric indexes in the prediction of type 2 diabetes mellitus, hypertension and dyslipidaemia in a Mexican population,” Int. J. Obes., vol. 25, no. 12, pp. 1794–1799, 2001, doi: 10.1038/sj.ijo.0801827.
  • Chirinos, D A et al, “Defining Abdominal Obesity as a Risk Factor for Coronary Heart Disease in the U.S.: Results From the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)” Diabetes Care Aug 2020, 43 (8) 1774-1780; DOI: 10.2337/dc19-1855.
  • Elo, I T et al, “The Contribution of Weight Status to Black-White Differences in Mortality” Biodemography Soc Biol. 2017; 63(3): 206–220. doi: 10.1080/19485565.2017.1300519.
  • “9 The evidence | BMI: preventing ill health and premature death in black, Asian and other minority ethnic groups | Guidance | NICE.” [Online]. Available: https://www.nice.org.uk/guidance/ph46/chapter/9-The-evidence.
  • Alammar, M et al, “Diagnostic Accuracy of Body Mass Index (BMI) When Diagnosing Obesity in a Saudi Adult Population in a Primary Care Setting, Cross Sectional, Retrospective Study” Diabetes Metab Syndr Obes. 2020; 13: 2515–2520. Published online 2020 Jul 14. doi: 10.2147/DMSO.S263063.
  • Bennet, L et al, “BMI and waist circumference cut-offs for corresponding levels of INS sensitivity in a Middle Eastern immigrant versus a native Swedish population – the MEDIM population based study” BMC Public Health. 2016; 16: 1242. Published online 2016 Dec 9. doi: 10.1186/s12889-016-3892-1.
  • Al-Raddadi, R et al, “The prevalence of obesity and overweight, associated demographic and lifestyle factors, and health status in the adult population of Jeddah, Saudi Arabia,” Ther. Adv. Chronic Dis., vol. 10, p. 2040622319878997, Jan. 2019, doi: 10.1177/2040622319878997.
  • Abell, J E et al, “Differences in Cardiovascular Disease Mortality Associated With Body Mass Between Black and White Persons,” Am. J. Public Health, vol. 98, no. 1, pp. 63–66, Jan. 2008, doi: 10.2105/AJPH.2006.093781.
  • Batsis, J A et al, “Diagnostic Accuracy of Body Mass Index to Identify Obesity in Older Adults: NHANES 1999–2004” Int J Obes (Lond). 2016 May; 40(5): 761–767. Published online 2015 Dec 1. doi: 10.1038/ijo.2015.243
  • Michigan State University. "BMI Not Accurate Indicator Of Body Fat, New Research Suggests." ScienceDaily. ScienceDaily, 7 March 2007. Available: www.sciencedaily.com/releases/2007/03/070305202535.htm.
  • Sperrin, M et al, “Body mass index relates weight to height differently in women and older adults: serial cross-sectional surveys in England (1992-2011)” J. Public Health (Oxf)., vol. 38, no. 3, pp. 607–613, Sep. 2016, doi: 10.1093/pubmed/fdv067.
  • Weir CB, et al, “BMI Classification Percentile And Cut Off Points.” In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2021 Jan.
  • “What Is My Ideal Body Fat Percentage? - Healthline” [Online] Available: https://www.healthline.com/health/exercise-fitness/ideal-body-fat-percentage.
  • Nuttall, F Q. “Body Mass Index: Obesity, BMI, and Health: A Critical Review” Nutr Today. 2015 May; 50(3): 117–128. Published online 2015 Apr 7. doi: 10.1097/NT.0000000000000092.
  • Karastergiou, K et al, “Sex differences in human adipose tissues – the biology of pear shape,” Biol. Sex Differ., vol. 3, no. 1, p. 13, 2012, doi: 10.1186/2042-6410-3-13.
  • Nauli, A M et al, “Why Do Men Accumulate Abdominal Visceral Fat?” Front. Physiol., vol. 10, p. 1486, Dec. 2019, doi: 10.3389/fphys.2019.01486.
  • Thorpe Jr., R J et al, “Aging, Obesity, and Mortality: Misplaced Concern About Obese Older People?” Res Aging. 2004 Jan 1; 26(1): 108–129. doi: 10.1177/0164027503258738.
  • Yanovski, J A “Pediatric obesity. An introduction” Appetite. 2015 Oct 1; 93: 3–12. Published online 2015 Mar 30. doi: 10.1016/j.appet.2015.03.028.
  • “About Child & Teen BMI – Center for Disease Control and Prevention” Available: https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html.
  • Chung, S “Growth and Puberty in Obese Children and Implications of Body Composition” J Obes Metab Syndr. 2017 Dec; 26(4): 243–250. Published online 2017 Dec 30. doi: 10.7570/jomes.2017.26.4.243.
  • St-Onge, M P et al, “Body composition changes with aging: The cause or the result of alterations in metabolic rate and macronutrient oxidation?” Nutrition. 2010 Feb; 26(2): 152–155. Published online 2009 Dec 8. doi: 10.1016/j.nut.2009.07.004.
  • Studenski, S A et al, “The FNIH sarcopenia project: rationale, study description, conference recommendations, and final estimates,” J. Gerontol. A. Biol. Sci. Med. Sci., vol. 69, no. 5, pp. 547–558, May 2014, doi: 10.1093/gerona/glu010.
  • McKee, A et al, “Obesity in the Elderly” In: Endotext [Internet]. South Dartmouth (MA): MDText.com, Inc.; 2000.
  • Van Der Valk, E S et al, “A comprehensive diagnostic approach to detect underlying causes of obesity in adults” Obesity Reviews First published: 01 March 2019 https://doi.org/10.1111/obr.12836.
  • Hetherington-Rauth, M et al, “Comparison of direct measures of adiposity with indirect measures for assessing cardiometabolic risk factors in preadolescent girls” Nutr J. 2017; 16: 15. Published online 2017 Feb 23. doi: 10.1186/s12937-017-0236-7.
  • Janssen, I et al, “Waist circumference and not body mass index explains obesity-related health risk” The American Journal of Clinical Nutrition, Volume 79, Issue 3, March 2004, Pages 379–384, https://doi.org/10.1093/ajcn/79.3.379.
  • Robert Ross et al, “Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity” Nat Rev Endocrinol. 2020; 16(3): 177–189. Published online 2020 Feb 4. doi: 10.1038/s41574-019-0310-7.
  • “Why is my waist size important? - NHS.” [Online]. Available: https://www.nhs.uk/common-health-questions/lifestyle/why-is-my-waist-size-important/.
  • “Metabolic syndrome - Symptoms and causes - Mayo Clinic.” [Online]. Available: https://www.mayoclinic.org/diseases-conditions/metabolic-syndrome/symptoms-causes/syc-20351916.
  • “Metabolic Syndrome – Cedars Sinai” [Online]. Available: https://www.cedars-sinai.org/health-library/diseases-and-conditions/m/metabolic-syndrome.html.
  • “Metabolic Syndrome | NHLBI, NIH.” [Online]. Available: https://www.nhlbi.nih.gov/health-topics/metabolic-syndrome.
  • “HDL cholesterol: How to boost your ‘good’ cholesterol - Mayo Clinic.” [Online]. Available: https://www.mayoclinic.org/diseases-conditions/high-blood-cholesterol/in-depth/hdl-cholesterol/art-20046388.
  • Yanai, H et al, “The underlying mechanisms for development of hypertension in the metabolic syndrome” Nutr J. 2008; 7: 10. Published online 2008 Apr 17. doi: 10.1186/1475-2891-7-10.
  • “What is Cardiovascular Disease? | American Heart Association.” [Online]. Available: https://www.heart.org/en/health-topics/consumer-healthcare/what-is-cardiovascular-disease
  • “Type 2 Diabetes - Symptoms | ADA.” [Online]. Available: https://www.diabetes.org/diabetes/type-2/symptoms.
  • Arenillas, J F et al, “The Metabolic Syndrome and Stroke - Potential Treatment Approaches” Stroke Originally published 31 May 2007 https://doi.org/10.1161/STROKEAHA.106.480004.
  • Lin, H et al, “The prevalence, metabolic risk and effects of lifestyle intervention for metabolically healthy obesity: a systematic review and meta-analysis: A PRISMA-compliant article” Medicine (Baltimore). 2017 Nov; 96(47): e8838. Published online 2017 Nov 27. doi: 10.1097/MD.0000000000008838.
  • Hinnouho, G M et al, “Metabolically healthy obesity and risk of mortality: does the definition of metabolic health matter?,” Diabetes Care, vol. 36, no. 8, pp. 2294–2300, Aug. 2013, doi: 10.2337/dc12-1654.
  • Eknoyan, G. “Adolphe Quetelet (1796–1874) — the average man and indices of obesity” Nephrology Dialysis Transplantation, Volume 23, Issue 1, January 2008, Pages 47–51, https://doi.org/10.1093/ndt/gfm517.
  • Abou Ziki, M D et al, “Metabolic Syndrome: Genetic Insights into Disease Pathogenesis” Curr Opin Lipidol. 2016 Apr; 27(2): 162–171. doi: 10.1097/MOL.0000000000000276.
  • Kolb, H et al, “Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes.” BMC Med 15, 131 (2017). https://doi.org/10.1186/s12916-017-0901-x.
  • Jensen, M D “Role of Body Fat Distribution and the Metabolic Complications of Obesity” J Clin Endocrinol Metab. 2008 Nov; 93(11 Suppl 1): S57–S63. doi: 10.1210/jc.2008-1585.
  • Wildman, R P et al, “The Obese Without Cardiometabolic Risk Factor Clustering and the Normal Weight With Cardiometabolic Risk Factor Clustering: Prevalence and Correlates of 2 Phenotypes Among the US Population (NHANES 1999-2004),” Arch. Intern. Med., vol. 168, no. 15, pp. 1617–1624, Aug. 2008, doi: 10.1001/archinte.168.15.1617.
  • Bhaskaran, K et al, “Association of BMI with overall and cause-specific mortality: a population-based cohort study of 3.6 million adults in the UK” Lancet Diabetes Endocrinol. 2018 Dec; 6(12): 944–953. doi: 10.1016/S2213-8587(18)30288-2.

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Proverite svoj ITM pomoću ITM kalkulatora
ITM | 5 min. čitanja

Proverite svoj ITM pomoću ITM kalkulatora

Izračunajte svoj ITM pomoću kalkulatora i saznajte u koju kategoriju spadate. Procenite svoj rizik od gojaznosti i povezanih bolesti brzo i lako.

Proverite svoj ITM pomoću ITM kalkulatora
ITM | 5 min. čitanja

Proverite svoj ITM pomoću ITM kalkulatora

Izračunajte svoj ITM pomoću kalkulatora i saznajte u koju kategoriju spadate. Procenite svoj rizik od gojaznosti i povezanih bolesti brzo i lako.

Proverite svoj ITM pomoću ITM kalkulatora
ITM | 5 min. čitanja

Proverite svoj ITM pomoću ITM kalkulatora

Izračunajte svoj ITM pomoću kalkulatora i saznajte u koju kategoriju spadate. Procenite svoj rizik od gojaznosti i povezanih bolesti brzo i lako.