This is an outdated version published on 28-06-2024. Read the most recent version.

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

Authors

DOI:

https://doi.org/10.18778/1898-6773.87.2.05

Keywords:

excessive fat mass, lipids, BMI, middle age

Abstract

Obesity 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.

Downloads

Download data is not yet available.

References

Abraham 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/10.2174/138161208783597371 DOI: https://doi.org/10.2174/138161208783597371

Ashtary-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/biomedicines11020341 DOI: https://doi.org/10.3390/biomedicines11020341

Audrain-McGovern J, Benowitz NL. 2011. Cigarette Smoking, Nicotine, and Body Weight. Clin Pharmacol Ther 90:164–168. https://doi.org/10.1038/clpt.2011.105 DOI: https://doi.org/10.1038/clpt.2011.105

Bellissimo 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.2019.01.002 DOI: https://doi.org/10.1016/j.jcf.2019.01.002

Belo 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.0098467 DOI: https://doi.org/10.1371/journal.pone.0098467

Berg 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/osp4.4 DOI: https://doi.org/10.1002/osp4.4

Bosy-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.13190 DOI: https://doi.org/10.1111/obr.13190

Chiolero 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/87.4.801 DOI: https://doi.org/10.1093/ajcn/87.4.801

Cota 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/S1368980020004863 DOI: https://doi.org/10.1017/S1368980020004863

Danková 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.2016.0205 DOI: https://doi.org/10.1089/gtmb.2016.0205

De 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.2005.10.010 DOI: https://doi.org/10.1016/j.numecd.2005.10.010

Drozdová 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-2016-0013 DOI: https://doi.org/10.1515/anre-2016-0013

Dubey 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.F365 DOI: https://doi.org/10.1152/ajprenal.2001.280.3.F365

Falbová 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-2019-0026 DOI: https://doi.org/10.2478/anre-2019-0026

Falbová 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.0000000000001605 DOI: https://doi.org/10.1097/GME.0000000000001605

Falbová 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.23672 DOI: https://doi.org/10.1002/ajhb.23672

Falbová 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/10.18778/1898-6773.85.2.01 DOI: https://doi.org/10.18778/1898-6773.85.2.01

Falbová 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/10.18778/1898-6773.86.2.07 DOI: https://doi.org/10.18778/1898-6773.86.2.07

Fonseca 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/s13098-017-0221-5 DOI: https://doi.org/10.1186/s13098-017-0221-5

Fruh 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/10.1002/2327-6924.12510 DOI: https://doi.org/10.1002/2327-6924.12510

Hirsch 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/10.1080/00913847.2016.1248222 DOI: https://doi.org/10.1080/00913847.2016.1248222

Hurtado 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/s13679-024-00555-2 DOI: https://doi.org/10.1007/s13679-024-00555-2

Johnson 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.2011.08.002 DOI: https://doi.org/10.1016/j.semnephrol.2011.08.002

Kaczmarek M. 2007. The timing of natural menopause in Poland and associated factors. Maturitas 57:139–153. https://doi.org/10.1016/j.maturitas.2006.12.001 DOI: https://doi.org/10.1016/j.maturitas.2006.12.001

Kannel 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)90511-4 DOI: https://doi.org/10.1016/0002-8703(87)90511-4

Kim 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.12162 DOI: https://doi.org/10.1111/cen.12162

Kızılay 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.2018.2019.0241 DOI: https://doi.org/10.4274/jcrpe.galenos.2018.2019.0241

Li 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.S286299 DOI: https://doi.org/10.2147/DMSO.S286299

Luptáková 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.0b013e3182281b54 DOI: https://doi.org/10.1097/gme.0b013e3182281b54

Luptáková 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/10.1155/2013/634207 DOI: https://doi.org/10.1155/2013/634207

Luptáková 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/10.3109/03014460.2012.748828 DOI: https://doi.org/10.3109/03014460.2012.748828

Marques-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.2009.06.001 DOI: https://doi.org/10.1016/j.numecd.2009.06.001

Opoku AA, Abushama M, Konje JC. 2023. Obesity and menopause. Best Pract Res Clin Obstet Gynaecol 88:102348. https://doi.org/10.1016/j.bpobgyn.2023.102348 DOI: https://doi.org/10.1016/j.bpobgyn.2023.102348

Petridou 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.2018.10.009 DOI: https://doi.org/10.1016/j.metabol.2018.10.009

Rexrode 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.F3 DOI: https://doi.org/10.1161/01.CIR.0000091114.36254.F3

Taheri 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/s12902-020-00648-8 DOI: https://doi.org/10.1186/s12902-020-00648-8

Vorobeľová 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.0000000000001371 DOI: https://doi.org/10.1097/GME.0000000000001371

Vorobeľová 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-2021-0008 DOI: https://doi.org/10.2478/anre-2021-0008

Vorobeľová 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/10.1080/03014460.2022.2105398 DOI: https://doi.org/10.1080/03014460.2022.2105398

Vorobeľová 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.0000000000002277 DOI: https://doi.org/10.1097/GME.0000000000002277

Welsh A, Hammad M, Piña IL, Kulinski J. 2024. Obesity and cardiovascular health. European Journal of Preventive Cardiology. https://doi.org/10.1093/eurjpc/zwae025 DOI: https://doi.org/10.1093/eurjpc/zwae025

Wondmkun 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.S275898 DOI: https://doi.org/10.2147/DMSO.S275898

World 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/9789241501491

Zajacova 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-031816-044628 DOI: https://doi.org/10.1146/annurev-publhealth-031816-044628

Downloads

Published

28-06-2024

Versions

Issue

Section

Articles

How to Cite

Ferjančeková, Daniela, Petra Švábová, Alexandra Hozáková, and Simona Sulis. 2024. “Association Between Normal Weight Obesity and Lipids Profile in Slovak Women Aged 38 to 59 Years”. Anthropological Review 87 (2): 99-111. https://doi.org/10.18778/1898-6773.87.2.05.

Most read articles by the same author(s)