DOI: https://doi.org/10.14710/jgi.13.1.9-15

Differences in non-high density lipoprotein levels, blood pressure and waist circumference between normal-weight obesity, lean, and obese women

1Master Program of Biomedical Science, Faculty of Medicine, Universitas Andalas, Padang, Sumatera Barat, Indonesia

2Department of Nutritional Science, Faculty of Medicine, Universitas Andalas, Padang, Sumatera Barat, Indonesia

3Department of Radiology, Faculty of Medicine, Universitas Andalas, Padang, Sumatera Barat, Indonesia

4 Nuclear Medicine Division Dr. M.Djamil Hospital, Padang, Sumatera Barat, Indonesia

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Received: 19 Mar 2024; Revised: 12 Aug 2024; Accepted: 19 Sep 2024; Available online: 30 Dec 2024; Published: 30 Dec 2024.

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Abstract

Background: Normal Weight Obesity (NWO) is a condition characterized by an average Body Mass Index (BMI) with high body fat percentage (BFP≥30%), distinct from individuals with normal BMI and normal body fat (BFP <30%), known as Normal Weight Lean (NWL). NWO is associated with an increased risk of cardiovascular diseases, dyslipidemia, and central obesity.

Objectives: Investigate differences in non-high-density lipoprotein (non-HDL) levels, blood pressure, and waist circumference among respondents with NWO, NWL, and obesity.

Materials and Methods: The research adopts an observational design with a cross-sectional approach. The respondents, 96 adult women aged 30-45 from Padang City, were selected based on inclusion and exclusion criteria. Measurements included BMI, body fat using Bioelectrical Impedance Analysis (BIA), waist circumference, and blood pressure. Nutritional status determination was employed to differentiate between NWL, NWO, and obesity. Subsequently, blood samples were taken for non-HDL analysis. Analysis of customarily distributed data used one-way ANOVA and post-hoc Bonferroni, while non-normally distributed data were analyzed using Kruskal-Wallis and post-hoc Mann-Whitney.

Results: The study revealed that 20 women (20.8%) were classified as having NWO. The study results indicate a significant difference in non-HDL levels among NWL, NWO, and obesity (p-value = 0.015). There were differences in non-HDL levels between NWO and NWL women, as well as between NWL women and those with obesity. Blood pressure analysis showed no significant difference in blood pressure among NWO, NWL, and obesity. There was a difference in waist circumference, with a significant difference between NWL and obesity (p-value <0.05) and NWO and obesity (p-value <0.05). However, there was no significant difference between NWO and NWL (p-value = 1.00).

Conclusion: There were differences in non-HDL levels and waist circumference among NWO, NWL, and obese women, but no significant difference in blood pressure was observed among the three groups.

Keywords: Normal weight obesity; non-HDL; blood pressure; Waist circumference

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Keywords: Normal weight obesity; non-HDL; blood pressure; Waist circumference

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  1. RI K. Peraturan Menteri Kesehatan Republik Indonesia Nomor 41 Tahun 2014 Tentang Pedoman Gizi Seimbang. 2014;1–96. Available from: https://peraturan.bpk.go.id/Home/Details/119080/permenkes-no-41-tahun-2014
  2. De Lorenzo A, Soldati L, Sarlo F, Calvani M, Di Lorenzo N, Di Renzo L. New obesity classification criteria as a tool for bariatric surgery indication. World J Gastroenterol. 2016;22:681–703. DOI: 10.3748/wjg.v22.i2.681
  3. Wijayatunga NN, Dhurandhar EJ. Correction: Normal weight obesity and unaddressed cardiometabolic health risk—a narrative review (International Journal of Obesity, (2021), 45, 10, (2141-2155), 10.1038/s41366-021-00858-7). Int J Obes [Internet]. 2021;45:2511. Available from: 10.1038/s41366-021-00858-7
  4. Khonsari MN, Khashayar P, Shahrestanaki E, Kelishadi R, Nami MS, Heidari-Beni M, et al. Normal Weight Obesity and Cardiometabolic Risk Factors: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne). 2022;13. DOI: 10.3389/fendo.2022.857930
  5. Ji T, Zhang L, Tang Z, Sun F, Li Y, Ma L. Prevalence of normal-weight obesity in community-dwelling chinese older adults: Results from the beijing longitudinal study of aging. Diabetes, Metab Syndr Obes Targets Ther. 2020;13:1611–7. DOI: 10.2147/DMSO.S246884
  6. Kapoor N, Lotfaliany M, Sathish T, Thankappan KR, Thomas N, Furler J, et al. Prevalence of normal weight obesity and its associated cardio-metabolic risk factors – Results from the baseline data of the Kerala Diabetes Prevention Program (KDPP). PLoS One [Internet]. 2020;15:1–11. Available from: 10.1371/journal.pone.0237974
  7. Dinas Kesehatan Kota padang. Profil Kesehatan Kota Padang. 2021; Available from: https://dinkes.padang.go.id/
  8. Kemenkes RI. Laporan Riskesdas Nasional [Internet]. 2018. Available from: https://kesmas.kemkes.go.id
  9. Correa-Rodríguez M, González-Ruíz K, Rincón-Pabón D, Izquierdo M, García-Hermoso A, Agostinis-Sobrinho C, et al. Normal-Weight Obesity Is Associated with Increased Cardiometabolic Risk in Young Adults. Nutrients. 2020;12:1106. DOI: 10.3390/nu12041106
  10. Untono RH, Nugraha J, Suryawan RIG, Andrianto A. Non-HDL Cholesterol and LDL Cholesterol as Main Risk Factors for Coronary Heart Disease: Meta-Analysis. Indones J Clin Pathol Med Lab. 2022;28:231–7. DOI: https://doi.org/10.24293/ijcpml.v28i3.2006
  11. Mardi P, Abdi F, Ehsani A, Seif E, Djalalinia S, Heshmati J, et al. Is non-high-density lipoprotein associated with metabolic syndrome? A systematic review and meta-analysis. Front Endocrinol (Lausanne). 2022;13. DOI: 10.3389/fendo.2022.957136
  12. Mach F, Baigent C, Catapano AL, Koskinas KC, Casula M, Badimon L, et al. 2019 ESC/EAS Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk: The Task Force for the management of dyslipidaemias of the European Society of Cardiology (ESC) and European Atherosclerosis Society (EAS). Eur Heart J [Internet]. 2020 Jan 1;41:111–88. Available from: https://doi.org/10.1093/eurheartj/ehz826
  13. Wijayatunga NN, Kim H, Hays HM, Kang M. Objectively Measured Physical Activity Is Lower in Individuals with Normal Weight Obesity in the United States. 2022; DOI: 10.3390/ijerph191811747
  14. Oddo VM, Maehara M, Rah JH. Overweight in Indonesia: An observational study of trends and risk factors among adults and children. BMJ Open. 2019;9:1–14. DOI: https://doi.org/10.1136/bmjopen-2019-031198
  15. Moy FM, Loh DA. Cardiometabolic risks profile of normal weight obese and multi-ethnic women in a developing country. Maturitas [Internet]. 2015;81:389–93. Available from: https://doi.org/10.1016/j.maturitas.2015.04.011
  16. Kang S, Kyung C, Park JS, Kim S-H, Lee S-P, Kim MK, et al. Subclinical vascular inflammation in subjects with normal weight obesity and its association with body Fat: an 18 F-FDG-PET/CT study. Cardiovasc Diabetol [Internet]. 2014;13:70. DOI: 10.1186/1475-2840-13-70
  17. Kim J, Kang S, Kang H. Normal-Weight Obesity and Metabolic Syndrome in Korean Adults: A Population-Based Cross-Sectional Study. Vol. 11, Healthcare. 2023. DOI: 10.3390/healthcare11162303
  18. Ashtary-Larky D, Niknam S, Alipour M, Bagheri R, Asbaghi O, Mohammadian M, et al. Are Women with Normal-Weight Obesity at Higher Risk for Cardiometabolic Disorders? Biomedicines. 2023;11:341. DOI: 10.3390/biomedicines11020341
  19. Stadler JT, Marsche G. Obesity-Related Changes in High-Density Lipoprotein Metabolism and Function. Int J Mol Sci. 2020 Nov;21. DOI: 10.3390/ijms21238985
  20. Oliosa PR, Zaniqueli D, Alvim R de O, Barbosa MCR, Mill JG. Body fat percentage is better than indicators of weight status to identify children and adolescents with unfavorable lipid profile. J Pediatr (Rio J). 2019;95:112–8. DOI: 10.1016/j.jped.2017.11.003
  21. Goossens GH. The Metabolic Phenotype in Obesity: Fat Mass, Body Fat Distribution, and Adipose Tissue Function. Obes Facts. 2017;10:207–15. DOI: 10.1159/000471488
  22. Smith GI, Mittendorfer B, Klein S. Metabolically healthy obesity: facts and fantasies. J Clin Invest. 2019 Oct;129:3978–89. DOI: 10.1172/JCI129186
  23. Ramsaran C, Maharaj RG. Normal weight obesity among young adults in Trinidad and Tobago: prevalence and associated factors. 2017;29. Available from: 10.1515/ijamh-2015-0042
  24. Shimrah C, Kaur S, Chandel S. Hypertension in Individuals with Normal-Weight Obesity and Normal-Weight Central Obesity: A Study on Sunni Muslims of Uttar Pradesh, North India. Orient Anthropol [Internet]. 2023 Oct 4;0972558X231187509. Available from: https://doi.org/10.1177/0972558X231187509
  25. Dun Q, Xu W, Fu M, Wu N, Moore JB, Yu T, et al. Physical Activity, Obesity, and Hypertension among Adults in a Rapidly Urbanised City. Salvetti M, editor. Int J Hypertens [Internet]. 2021;2021:9982562. Available from: 10.1155/2021/9982562
  26. Li X, Niu H, Bai XG, Wang YW, Wang W. Association of Obesity and Hypertension: A Cohort Study in China. Int J Hypertens. 2021;2021. DOI: 10.1155/2021/1607475
  27. Bosomworth NJ. Normal-weight central obesity: Unique hazard of the toxic waist. Can Fam Physician. 2019 Jun;65:399–408
  28. Chaston TB, Dixon JB. Factors associated with percent change in visceral versus subcutaneous abdominal fat during weight loss: findings from a systematic review. Int J Obes (Lond). 2008 Apr;32:619–28. DOI: 10.1038/sj.ijo.0803761
  29. Zhu Y, Wang Z, Maruyama H, Onoda K. Body Fat Percentage and Normal-Weight Obesity in the Chinese Population : Development of a Simple Evaluation Indicator Using Anthropometric Measurements. 2022; DOI: 10.3390/ijerph19074238

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