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Association between normal weight obesity and lipids profile in Slovak women aged 38 to 59 years

dc.contributor.authorFerjančeková, Daniela
dc.contributor.authorŠvábová, Petra
dc.contributor.authorHozáková, Alexandra
dc.contributor.authorSulis, Simona
dc.date.accessioned2024-07-25T10:40:30Z
dc.date.available2024-07-25T10:40:30Z
dc.date.issued2024-06-28
dc.identifier.issn1898-6773
dc.identifier.urihttp://hdl.handle.net/11089/52897
dc.description.abstractObesity and its associated health problems are an issue, especially when weight gain is not outwardly visible. Individuals with the same Body Mass Index (BMI) may differ in body fat percentage and may unknowingly suffer from normal weight obesity (NWO). Middle-aged women are at high risk if their body composition changes due to factors such as age, health status or reproductive history. This study investigated the relationship between NWO and lipid profile in middle-aged women. A sample of 122 women aged 38 to 59 years (47.17 ± 5.24) from Slovakia participated in this study. Using a questionnaire, participants answered questions about lifestyle, health background, sociodemographic classification, reproductive and menstrual history. The anthropometric parameters were determined using standard methods. Body composition was measured using a bioelectrical impedance analyzer. Biochemical parameters were determined from morning blood samples. Blood pressure was assessed in a sitting position using a digital sphygmomanometer. The primary aim of this study was to assess the differences in lipid profiles between NOW women and normal weight-lean (NWL) women. Our results showed statistically significantly higher values of uric acid in the women with NWO compared to NWL women (237.39 ± 54.11 μmol/l vs. 213.02 ± 52.64 μmol/l; p = 0.009). Moreover, significant differences were noted between NWO women and NWL women in body height, body weight, waist and hip circumference, WHR, BMI and fat mass (%, p < 0.05). Other biochemical variables showed no statistically significant differences between the study groups of women. Elevated uric acid levels in women diagnosed with NWO may serve as an indication of metabolic imbalance associated with undetected obesity. These results underscore the importance of implementing early detection and intervention methods for NWO to prevent related health issues. Further research is necessary to investigate the underlying factors contributing to these connections and evaluate the efficacy of customized interventions.en
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.relation.ispartofseriesAnthropological Review;2en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectexcessive fat massen
dc.subjectlipidsen
dc.subjectBMIen
dc.subjectmiddle ageen
dc.titleAssociation between normal weight obesity and lipids profile in Slovak women aged 38 to 59 yearsen
dc.typeArticle
dc.page.number99-111
dc.contributor.authorAffiliationFerjančeková, Daniela - Comenius University Bratislava, Faculty of Natural Sciences, Department of Anthropology, Bratislava, Slovakiaen
dc.contributor.authorAffiliationŠvábová, Petra - Comenius University Bratislava, Faculty of Natural Sciences, Department of Anthropology, Bratislava, Slovakiaen
dc.contributor.authorAffiliationHozáková, Alexandra - Comenius University Bratislava, Faculty of Natural Sciences, Department of Anthropology, Bratislava, Slovakiaen
dc.contributor.authorAffiliationSulis, Simona - Comenius University Bratislava, Faculty of Natural Sciences, Department of Anthropology, Bratislava, Slovakiaen
dc.identifier.eissn2083-4594
dc.referencesAbraham NG, Tsenovoy PL, McClung J, Drummond GS. 2008. Heme oxygenase: a target gene for anti-diabetic and obesity. Curr Pharm Des 14(5):412–421. https://doi.org/10.2174/138161208783597371en
dc.referencesAshtary-Larky D, Niknam S, Alipour M, Bagheri R, Asbaghi O, Mohammadian M, Jaime SJ, Baker JS, Wong A, Suzuki K, Afrisham R. 2023. Are Women with Normal-Weight Obesity at Higher Risk for Cardiometabolic Disorders? Biomedicines 11:341. https://doi.org/10.3390/biomedicines11020341en
dc.referencesAudrain-McGovern J, Benowitz NL. 2011. Cigarette Smoking, Nicotine, and Body Weight. Clin Pharmacol Ther 90:164–168. https://doi.org/10.1038/clpt.2011.105en
dc.referencesBellissimo MP, Zhang I, Ivie EA, Tran PH, Tangpricha V, Hunt WR, Stecenko AA, Ziegler TR, Alvarez JA. 2019. Visceral adipose tissue is associated with poor diet quality and higher fasting glucose in adults with cystic fibrosis. J Cyst Fibros 18:430–435. https://doi.org/10.1016/j.jcf.2019.01.002en
dc.referencesBelo L, Nascimento H, Kohlova M, Bronzeda-Rocha E, Fernandes J, Costa E, et al. 2014. Body fat percentage is a major determinant of total bilirubin independently of UGT1A1*28 polymorphism in young obese. PLoS One 5;9(6):e98467. https://doi.org/10.1371/journal.pone.0098467en
dc.referencesBerg C, Strandhagen E, Mehlig K, Subramoney S, Lissner L, Björck L. 2015. Normal weight adiposity in a Swedish population: how well is cardiovascular risk associated with excess body fat captured by BMI? Obes Sci Pract 1:50–58. https://doi.org/10.1002/osp4.4en
dc.referencesBosy-Westphal A, Müller MJ. 2021. Diagnosis of obesity based on body composition-associated health risks-Time for a change in paradigm. Obes Rev 22(2):e13190. https://doi.org/10.1111/obr.13190en
dc.referencesChiolero A, Faeh D, Paccaud F, Cornuz J. 2008. Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr 87(4):801–809. https://doi.org/10.1093/ajcn/87.4.801en
dc.referencesCota BC, Suhett LG, Leite NN, Pereira PF, Ribeiro SAV, Franceschini SDCC. 2021. Cardiometabolic risk and health behaviours in adolescents with normal-weight obesity: a systematic review. Public Health Nutr 24:870–881. https://doi.org/10.1017/S1368980020004863en
dc.referencesDanková Z, Vorobel’ová L, Čerňanová V, Drozdová D, Grendár M, Baldovič M, Cvíčelová M, Siváková D. 2017. Genetic and Environmental Biomarkers Associated with Triglyceride Levels in Two Groups of Slovak Women. Genet Test Mol Biomark 21:46–52. https://doi.org/10.1089/gtmb.2016.0205en
dc.referencesDe Lorenzo A, Martinoli R, Vaia F, Di Renzo L. 2006. Normal weight obese (NWO) women: an evaluation of a candidate new syndrome. Nutr Metab Cardiovasc Dis 16(8):513–523. https://doi.org/10.1016/j.numecd.2005.10.010en
dc.referencesDrozdová D, Danková Z, Čerňanová V, Siváková D. 2016. Body composition of Slovak midlife women with cardiovascular complications. Anthropol Rev 79:169–180. https://doi.org/10.1515/anre-2016-0013en
dc.referencesDubey RK, Jackson EK. 2001. Estrogen-induced cardiorenal protection: potential cellular, biochemical, and molecular mechanisms. Am J Physiol-Ren Physiol 280:F365–F388. https://doi.org/10.1152/ajprenal.2001.280.3.F365en
dc.referencesFalbová D, Vorobeľová L, Candráková Čerňanová V, Beňuš R, Siváková D. 2019. ACE Insertion/Deletion polymorphism (rs4646994) affects body composition in middle-aged premenopausal women with essential hypertension. Anthropol Rev 82:349–355. https://doi.org/10.2478/anre-2019-0026en
dc.referencesFalbová D, Vorobelová L, Cernanová VC, Benuš R, Wsólová L, Siváková D. 2020. Association of cytochrome P450 1B1 gene polymorphisms and environmental biomarkers with hypertension in Slovak midlife women. Menopause 27(11):1287−1294. https://doi.org/10.1097/GME.0000000000001605en
dc.referencesFalbová D, Vorobeľová L, Siváková D, Beňuš R. 2022a. Association between FTO (rs17817449) genetic variant, gammaglutamyl transferase, and hypertension in Slovak midlife women. Am J Hum Biol 34:e23672. https://doi.org/10.1002/ajhb.23672en
dc.referencesFalbová D, Vorobeľová L, Čerňanová VC, Beňuš R, Siváková D. 2022b. Association of Leu432Val (rs1056836) polymorphism of the CYP1B1 gene with lipid profile in hypertensive Slovak women. Anthropol Rev 85(2):1−12. https://doi.org/10.18778/1898-6773.85.2.01en
dc.referencesFalbová D, Beňuš R, Vorobeľová L. 2023. Association between smoking status and body composition parameters in a young adult population. Anthropol Rev 86:77–87. https://doi.org/10.18778/1898-6773.86.2.07en
dc.referencesFonseca MIH, Da Silva IT, Ferreira SRG. 2017. Impact of menopause and diabetes on atherogenic lipid profile: is it worth to analyse lipoprotein subfractions to assess cardiovascular risk in women? Diabetol Metab Syndr 9:22. https://doi.org/10.1186/s13098-017-0221-5en
dc.referencesFruh SM. 2017. Obesity: Risk factors, complications, and strategies for sustainable long-term weight management. J Am Assoc Nurse Pract 29(S1):S3−S14. https://doi.org/10.1002/2327-6924.12510en
dc.referencesHirsch KR, Smith-Ryan AE, Blue MN, Mock MG, Trexler ET, Ondrak KS. 2016. Metabolic characterization of overweight and obese adults. The Physician and sportsmedicine 44(4): 362−372. https://doi.org/10.1080/00913847.2016.1248222en
dc.referencesHurtado MD, Saadedine M, Kapoor E, Shufelt CL, Faubion SS. 2024. Weight Gain in Midlife Women. Current Obesity Reports 1−12. https://doi.org/10.1007/s13679-024-00555-2en
dc.referencesJohnson RJ, Lanaspa MA, Gaucher EA. 2011. Uric Acid: A Danger Signal From the RNA World That May Have a Role in the Epidemic of Obesity, Metabolic Syndrome, and Cardiorenal Disease: Evolutionary Considerations. Semin Nephrol 31:394–399. https://doi.org/10.1016/j.semnephrol.2011.08.002en
dc.referencesKaczmarek M. 2007. The timing of natural menopause in Poland and associated factors. Maturitas 57:139–153. https://doi.org/10.1016/j.maturitas.2006.12.001en
dc.referencesKannel WB. 1987. Metabolic risk factors for coronary heart disease in women: perspective from the Framingham Study. Am Heart J 114(2):413–419. https://doi.org/10.1016/0002-8703(87)90511-4en
dc.referencesKim MK, Han K, Kwon H, Song K, Yim HW, Lee W, Park Y. 2014. Normal weight obesity in Korean adults. Clin Endocrinol (Oxf) 80:214–220. https://doi.org/10.1111/cen.12162en
dc.referencesKızılay ÖD, Şen S, Ersoy B. 2019. Associations Between Serum Uric Acid Concentrations and Cardiometabolic Risk and Renal Injury in Obese and Overweight Children. J Clin Res Pediatr Endocrinol 11:262–269. https://doi.org/10.4274/jcrpe.galenos.2018.2019.0241en
dc.referencesLi F, Chen S, Qiu X, Wu J, Tan M, Wang M. 2021. Serum Uric Acid Levels and Metabolic Indices in an Obese Population: A Cross-Sectional Study. Diabetes Metab Syndr Obes Targets Ther Volume 14:627–635. https://doi.org/10.2147/DMSO.S286299en
dc.referencesLuptáková L, Sivaková D, Šrámeková D, Cvíčelová M. 2012. The association of cytochrome P450 1B1 Leu432Val polymorphism with biological markers of health and menopausal symptoms in Slovak midlife women. Menopause 19:216–224. https://doi.org/10.1097/gme.0b013e3182281b54en
dc.referencesLuptáková L, Benčová D, Siváková D, Cvíčelová M. 2013a. Association of CILP2 and ACE gene polymorphisms with cardiovascular risk factors in Slovak midlife women. Biomed Res Int 2013:634207. https://doi.org/10.1155/2013/634207en
dc.referencesLuptáková L, Siváková D, Cvíčelová M, Wsólová L, Danková Z, Michnová A, Blažíček P. 2013. Power of biomarkers and their relative contributions to metabolic syndrome in Slovak adult women. Ann Hum Biol 40(2):132−138. https://doi.org/10.3109/03014460.2012.748828en
dc.referencesMarques-Vidal P, Pécoud A, Hayoz D, Paccaud F, Mooser V, Waeber G, Vollenweider P. 2010. Normal weight obesity: relationship with lipids, glycaemic status, liver enzymes and inflammation. Nutr Metab Cardiovasc Dis 20(9):669–675. https://doi.org/10.1016/j.numecd.2009.06.001en
dc.referencesOpoku AA, Abushama M, Konje JC. 2023. Obesity and menopause. Best Pract Res Clin Obstet Gynaecol 88:102348. https://doi.org/10.1016/j.bpobgyn.2023.102348en
dc.referencesPetridou A, Siopi A, Mougios V. 2019. Exercise in the management of obesity. Metab.: Clin. Exp 92:163–169. https://doi.org/10.1016/j.metabol.2018.10.009en
dc.referencesRexrode KM, Manson JE, Lee I-M, Ridker PM, Sluss PM, Cook NR, Buring JE. 2003. Sex Hormone Levels and Risk of Cardiovascular Events in Postmenopausal Women. Circulation 108:1688–1693. https://doi.org/10.1161/01.CIR.0000091114.36254.F3en
dc.referencesTaheri E, Hosseini S, Qorbani M, Mirmiran P. 2020. Association of adipocytokines with lipid and glycemic profiles in women with normal weight obesity. BMC Endocr Disord 20:171. https://doi.org/10.1186/s12902-020-00648-8en
dc.referencesVorobeľová L, Danková Z, Candráková-Čerňanová V, Falbová D, Cvíčelová M, Beňuš R, Siváková D. 2019. Association of the ESR1 polymorphism with menopause and MLXIPL genetic variant influence serum uric acid levels in Slovak midlife women. Menopause 26(10):1185−1192. https://doi.org/10.1097/GME.0000000000001371en
dc.referencesVorobeľová L, Falbová D, Siváková D. 2021. Differences in body composition between metabolically healthy and unhealthy midlife women with respect to obesity status. Anthropol Rev 84:59–71. https://doi.org/10.2478/anre-2021-0008en
dc.referencesVorobeľová L, Falbová D, Candráková Čerňanová V. 2022. Contribution of environmental factors and female reproductive history to hypertension and obesity incidence in later life. Annals of Human Biology 49:236–247. https://doi.org/10.1080/03014460.2022.2105398en
dc.referencesVorobeľová L, Falbová D, Čerňanová VC. 2023. The importance of female reproductive history on self-reported sleep quality, mood, and urogenital symptoms in midlife. Menopause 30(11): 1157−1166. https://doi.org/10.1097/GME.0000000000002277en
dc.referencesWelsh A, Hammad M, Piña IL, Kulinski J. 2024. Obesity and cardiovascular health. European Journal of Preventive Cardiology. https://doi.org/10.1093/eurjpc/zwae025en
dc.referencesWondmkun YT. 2020. Obesity, Insulin Resistance, and Type 2 Diabetes: Associations and Therapeutic Implications. Diabetes Metab Syndr Obes 9(13):3611–3616. https://doi.org/10.2147/DMSO.S275898en
dc.referencesWorld Health Organization. 2011. Waist circumference and waist-hip ratio: report of a WHO expert consultation, Geneva, 8–11 December 2008. Available at: https://www.who.int/publications/i/item/9789241501491en
dc.referencesZajacova A, Lawrence E. 2018. The Relationship Between Education and Health: Reducing Disparities Through a Contextual Approach. Annu. Rev. Public Health 39:273–289. https://doi.org/10.1146/annurev-publhealth-031816-044628en
dc.contributor.authorEmailFerjančeková, Daniela - ferjancekova1@uniba.sk
dc.contributor.authorEmailŠvábová, Petra - petra.svabova@uniba.sk
dc.contributor.authorEmailHozáková, Alexandra - hozakova4@uniba.sk
dc.contributor.authorEmailSulis, Simona - sulis3@uniba.sk
dc.identifier.doi10.18778/1898-6773.87.2.05
dc.relation.volume87


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