Clinical phenotypes of obesity comorbidity in adolescent boys
https://doi.org/10.18705/2311-4495-2025-12-4-397-414
EDN: KQZOJG
Abstract
Introduction. Obesity in adolescents is a highly prevalent and clinically heterogeneous disorder. Objective. To study the clinical diversity of the most significant obesity-related complications in adolescent boys. Materials and Methods. The study included 104 adolescents aged 14–17 years with obesity (ICD-10 code E66.0). A comprehensive examination was conducted, which included assessment of medical history, anthropometry, hormonal profile (LH, FSH, testosterone, kisspeptin, etc.), blood biochemical parameters (lipids, glucose), echocardiography and abdominal ultrasound, and blood pressure measurement. Data analysis was performed using descriptive statistics and Rasch mixture modeling. Results. Three distinct clinical phenotypes with heterogeneous propensities for developing complications were identified. Patients in the first phenotype had the highest likelihood of developing disorders of glucose metabolism and cardiovascular complications. The second phenotype was characterized by a prominent degree of insulin resistance and, to a lesser extent, dyslipidemia, while the probability of arterial hypertension was minimal. The third phenotype was defined by the highest risk of dyslipidemia and non-alcoholic fatty liver disease, with a minimal risk of glucose metabolism disorders. The overall potential for developing the full spectrum of complications was highest in the first clinical phenotype, significantly exceeding the levels observed in the second and third. A strong association was found between a high propensity for arterial hypertension and more advanced stages of pubertal development according to the Tanner scale. Conclusions. Adolescent boys with obesity exhibit varying predispositions to specific types of complications. Arterial hypertension shows a tendency to associate with insulin resistance, while dyslipidemia is linked to non-alcoholic fatty liver disease. Testosterone levels and pubertal stage have prognostic value for identifying the clinical phenotype characterized by an increased susceptibility to arterial hypertension.
About the Authors
I. L. NikitinaRussian Federation
Irina L. Nikitina, MD, DSc, Professor, Head of the Department of children’s diseases with clinics, Therapeutic faculty of the Institute for medical education
Competing Interests:
The authors declare no conflict of interest.
N. I. Vtornikova
Russian Federation
Natalia I. Vtornikova, MD, Assistant of the Department of children’s diseases with clinics, Therapeutic faculty of the Institute for medical education
Competing Interests:
The authors declare no conflict of interest.
I. A. Kelmanson
Russian Federation
Igor A. Kelmanson, MD, DSc, Professor, Department of children’s diseases with clinics, Therapeutic faculty of the Institute for medical education
Competing Interests:
The authors declare no conflict of interest.
References
1. Bixby H, Mishra A, Martinez AR. Worldwide levels and trends in childhood obesity. In: Moreno LA, editor. Childhood Obesity. San Diego: Academic Press; 2025. p. 21–40.
2. Cunningham SA, Hardy ST, Jones R, et al. Changes in the incidence of childhood obesity. Pediatrics. 2022;150(2): 1–10. https://doi.org/10.1542/peds.2021-053708
3. Spinelli A, Buoncristiano M, Nardone P, et al. Thinness, overweight, and obesity in 6- to 9- year- old children from 36 countries: The World Health Organization European childhood obesity surveillance initiative — COSI 2015–2017. Obesity Reviews. 2021;22:1–15. https://doi.org/10.1111/obr.13214
4. Jha S, Mehendale AM. Increased incidence of obesity in children and adolescents post-COVID-19 pandemic: a review article. Cureus. 2022;14(9):1–8. https://doi.org/10.7759/cureus.29348
5. Boswell N, Byrne R, Davies PSW. Aetiology of eating behaviours: a possible mechanism to understand obesity development in early childhood. Neuroscience & Biobehavioral Reviews. 2018;95:438–448. https://doi.org/10.1016/j.neubiorev.2018.10.020
6. Kansra AR, Lakkunarajah S, Jay MS. Childhood and adolescent obesity: a review. Frontiers in Pediatrics. 2021;8:581461. https://doi.org/10.3389/fped.2020.581461
7. Peterkova VA, Bezlepkina OB, Bolotova NV, et al. Clinical guidelines «Obesity in children». Problems of Endocrinology. 2021;5:67–83. (In Russ.)
8. Camilleri M, Malhi H, Acosta A. Gastrointestinal complications of obesity.Gastroenterology. 2017;152(7):1656– 1670. https://doi.org/10.1053/j.gastro.2016.12.052
9. Longo M, Zatterale F, Naderi J, et al. Adipose tissue dysfunction as determinant of obesity-associated metabolic complications. International J of Molecular Sciences. 2019;20(9):2358. https://doi.org/10.3390/ijms20092358
10. Chandrasekaran P, Weiskirchen R. The signaling pathways in obesity-related complications. J Cell Commun Signal. 2024;18(2):e12039. https://doi.org/10.1002/ccs3.12039
11. Santos AL, Sinha S. Obesity and aging: molecular mechanisms and therapeutic approaches. Ageing Research Reviews. 2021;67:101268. https://doi.org/10.1016/j.arr.2021.101268
12. Nikitina IL, Vtornikova NI, Kelmanson IA. Clinical heterogeneity of sleep quality, emotional and behavioral characteristics, and eating habits in adolescents with obesity: a cluster analysis. European Journal of Pediatrics. 2024;183(4):1571– 1584. https://doi.org/10.1007/s00431-023-05406-1
13. Ahanchi NS, Hadaegh F, Alipour A, et al. Application of latent class analysis to identify metabolic syndrome components patterns in adults: tehran lipid and glucose study. Sci Rep. 2019;9(1):1572. https://doi.org/10.1038/s41598-018-38095-0
14. Andreacchi AT, Oz UE, Bassim C, et al. Clustering of obesity-related characteristics: a latent class analysis from the Canadian longitudinal study on aging. Preventive medicine. 2021;153:106739. https://doi.org/10.1016/j.ypmed.2021.106739
15. Hendryx M, Dinh P, Chow A, et al. Lifestyle and psychosocial patterns and diabetes incidence among women with and without obesity: a prospective latent class analysis. Prev Sci. 2020;21(6):850–860. https://doi.org/10.1007/s11121-020-01130-6
16. Kim S, Cho S, Nah EH. The patterns of lifestyle, metabolic status, and obesity among hypertensive Korean patients: a latent class analysis. Epidemiology and health. 2020;42:2020061. https://doi.org/10.4178/epih.e2020061
17. Tricò D, McCollum S, Samuels S, et al. Mechanistic insights into the heterogeneity of glucose response classes in youths with obesity: a latent class trajectory approach. Diabetes Care. 2022;45(8):1841–1851. https://doi.org/10.2337/dc22-0110
18. Marshall WA, Tanner JM. Variations in the pattern of pubertal changes in boys. Archives of Disease in Childhood. 1970;45(239):13. https://doi.org/10.1136/adc.45.239.13
19. Merg F, Filliol D, Usynin I, et al. Big dynorphin as a putative endogenous ligand for the kappa-opioid receptor. Journal of neurochemistry. 2006;97(1):292–301. https://doi.org/10.1111/j.1471-4159.2006.03732.x
20. Bond T, Yan Z, Heene M. Applying the Rasch model: fundamental measurement in the human sciences (4th ed.). Boca Raton: Routledge; 2020. 376 p.
21. Linacre J. What do infit and outfit, mean-square and standardized mean? Rasch Meas Trans. 2002;16(2):878.
22. Ellis PD. The essential guide to effect sizes: statistical power, meta-analysis, and the interpretation of research results. Cambridge: Cambridge University Press; 2010. 173 p.
23. Jamovi. The jamovi project (Version 2.3) [Internet]; 2022 [cited 2025 Jun 6]. Available from: https://www.jamovi.org
24. Obita G, Alkhatib A. Disparities in the prevalence of childhood obesity-related comorbidities: a systematic review. Frontiers in Public Health. 2022;10:1–16. https://doi.org/10.3389/fpubh.2022.923744
25. Alkhatib A, Obita G. Childhood obesity and its comorbidities in high-risk minority populations: prevalence, prevention and lifestyle intervention guidelines. Nutrients. 2024;16(11):1730. https://doi.org/10.3390/nu16111730
26. Sharma V, Coleman S, Nixon J, et al. A systematic review and meta-analysis estimating the population prevalence of comorbidities in children and adolescents aged 5 to 18 years. Obesity Reviews. 2019;20(10):1341–1349. https://doi.org/10.1111/obr.12904
27. Chhabra S, Chhabra S, Patil R, et al. 2073-LB: Unveiling the hidden — insulin resistance and cardiometabolic risks in overweight adolescents. Diabetes. 2024;73.
28. Juárez-López C, Klünder-Klünder M, Medina-Bravo P, et al. Insulin resistance and its association with the components of the metabolic syndrome among obese children and adolescents. BMC public health. 2010;10:318. https://doi.org/10.1186/1471-2458-10-318
29. Lee JM, Okumura MJ, Davis MM, et al. Prevalence and determinants of insulin resistance among U.S. adolescents: a population-based study. Diabetes Care. 2006;29(11):2427–2432.
30. Altaan EA, Alsarraf Z, Abow FH. The prevalence of dyslipidemia in pediatric obesity and its relation to life style of obese children: prevalensi dislipidemia pada obesitas anak dan hubungannya dengan gaya hidup anak obesitas. Indonesian Journal on Health Science and Medicine. 2025;2(1):1–12. https://doi.org/10.21070/ijhsm.v2i1.63
31. Dündar İ, Akıncı A. Frequency of dyslipidemia and associated risk factors among obese children and adolescents in Turkey. Innovative Journal of Pediatrics. 2022;32(3):1–10. https://doi.org/10.5812/ijp-122937
32. Nielsen TRH, Lausten-Thomsen U, Fonvig CE, et al. Dyslipidemia and reference values for fasting plasma lipid concentrations in Danish/North-European white children and adolescents. BMC pediatrics. 2017;17(1):116. https://doi.org/10.1186/s12887-017-0868-y
33. Soheilipour F, Geram F. Lipid profile and the frequency of dyslipidemia in Iranian adolescents with severe obesity, who were candidates for bariatric surgery. Obesity surgery. 2024;34(2):618–624. https://doi.org/10.1007/s11695-023-07038-8
34. Atwa H, Labib J, Abd-Allah H, et al. Clinical and biochemical predictors of non-alcoholic fatty liver disease in obese children and adolescents. International Journal of Pediatrics. 2022;10:15583–15593. https://doi.org/10.22038/IJP.2022.62321.4769
35. Hazer İ, Kabukçu HO, Yağcı M, et al. The association of lipid metabolism and non-alcoholic fatty liver disease in children with obesity. Turk pediatri arsivi. 2020;55(3):263–269. https://doi.org/10.14744/TurkPediatriArs.2020.65148
36. Shaunak M, Byrne CD, Davis N, et al. Non-alcoholic fatty liver disease and childhood obesity. Arch Dis Child. 2021;106(1):3–8. https://doi.org/10.1136/archdischild-2019-318063
37. Jeong SI, Kim SH. Obesity and hypertension in children and adolescents. Clinical hypertension. 2024;30(1):23. https://doi.org/10.1186/s40885-024-00278-5
38. Martyniak A, Drożdż D, Tomasik PJ. Classical and alternative pathways of the renin-angiotensin-aldosterone system in regulating blood pressure in hypertension and obese adolescents. Biomedicines. 2024;12(3). https://doi.org/10.1186/s40885-024-00278-5
39. Kivimäki M, Strandberg T, Pentti J, et al. Bodymass index and risk of obesity-related complex multimorbidity: an observational multicohort study. The Lancet Diabetes & Endocrinology. 2022;10(4):253–263. https://doi.org/10.1016/S2213-8587(22)00033-X
40. Maffeis C, Banzato C, Brambilla P, et al. Insulin resistance is a risk factor for high blood pressure regardless of body size and fat distribution in obese children. Nutrition, Metabolism and Cardiovascular Diseases. 2010;20(4):266– 273. https://doi.org/10.1016/j.numecd.2009.04.005
41. Pastucha D, Talafa V, Malincikova J, et al. Obesity, hypertension and insulin resistance in childhood — a pilot study. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2010;154(1):77–81. https://doi.org/10.5507/bp.2010.013
42. Zhang T, Zhang H, Li S, et al. Impact of adiposity on incident hypertension is modified by insulin resistance in adults. Hypertension. 2016;67(1):56–62. https://doi.org/10.5555/20163040167
43. Toft I, Bønaa KH, Jenssen T. Insulin resistance in hypertension is associated with body fat rather than blood pressure. Hypertension. 1998;32(1):115–122. https://doi.org/10.1161/01.hyp.32.1.115
44. Zemel MB. Insulin resistance, obesity and hypertension: an overview. The Journal of Nutrition. 1995;125: 1715–1717.
45. Castro L, Brant L, Diniz MdF, et al. Association of hypertension and insulin resistance in individuals free of diabetes in the ELSA-Brasil cohort. Scientific Reports. 2023;13(1):9456. https://doi.org/10.1038/s41598-023-35298-y
46. Ferrannini E, Buzzigoli G, Bonadonna R, et al. Insulin resistance in Essential Hypertension. 1987;317(6): 350–357. https://doi.org/10.3390/jcm14196890
47. Zou Y, Ye H, Xu Z, et al. Obesity, sarcopenia, sarcopenic obesity, and hypertension: mediating role of inflammation and insulin resistance. The Journals of Gerontology: Series A. 2025;80(3):284. https://doi.org/10.1093/gerona/glae284
48. Torres-Peña J, Larriva AA-D, Alcalá-Díaz J, et al. Different dietary approaches, non-alcoholic fatty liver disease and cardiovascular disease: a literature review. Nutrients. 2023;15:1–17. https://doi.org/10.3390/nu15061483
49. Ziamanesh F, Mohammadi M, Ebrahimpour S, et al. Unraveling the link between insulin resistance and Non-alcoholic fatty liver disease (or metabolic dysfunction-associated steatotic liver disease): a narrative review. Journal of Diabetes & Metabolic Disorders. 2023;22:1083– 1094. https://doi.org/10.1007/s40200-023-01293-3
50. Vtornikova NI, Nikitina IL, Kelmanson IA. Heterogeneity of metabolic phenotypes in adolescent boys with obesity due to excess calories. Experimental and Clinical Gastroenterology. 2024;(6):20–30. (In Russ.) https://doi.org/10.31146/1682-8658-ecg-226-6-20-30
51. Quinkler M, Bujalska IJ, Kaur K, et al. Androgen receptor-mediated regulation of the α-subunit of the epithelial sodium channel in human kidney. Hypertension. 2005;46(4):787– 798. https://doi.org/10.1161/01.HYP.0000184362.61744.c1
52. Reckelhoff JF, Zhang H, Granger JP. Testosterone exacerbates hypertension and reduces pressure-natriuresis in male spontaneously hypertensive rats. Hypertension. 1998;31(1):435–439.
53. Reckelhoff JF. Gender differences in the regulation of blood pressure. Hypertension. 2001;37(5):1199–1208.
54. Kienitz T, Quinkler M. Testosterone and blood pressure regulation. Kidney & blood pressure research. 2008;31(2):71–79. https://doi.org/10.1159/000119417
55. Guzzetti C, Pilia S, Ibba A, et al. Correlation between cortisol and components of the metabolic syndrome in obese children and adolescents. Journal of Endocrinological Investigation. 2014;37(1):51–56. https://doi.org/10.1007/s40618-013-0014-0
56. Ohshima H, Adachi H, Enomoto M, et al. Association between growth hormone and hypertension in a general population. Hypertension Research. 2020;43(12):1430–1436. https://doi.org/10.1038/s41440-020-0500-7
57. Aytaç Kaplan EH, Kocabey Sütçü Z, Soyaltın E, et al. Ambulatory blood pressure monitorisation in children with recombinant growth hormone treatment. JPEM. 2024;37(1):69–73. https://doi.org/10.1515/jpem-2023-0396
58. Jurkovičová J, Hirošová K, Vondrová D, et al. The prevalence of insulin resistance and the associated risk factors in a sample of 14–18-year-old Slovak adolescents. Int J Environ Res Public Health 2021;18(3):909. https://doi.org/10.3390/ijerph18030909
59. Nikitina IL, Kelmanson IA, Vtornikova NI, Vasilyeva EY. Gonadal axis hormones heterogeneity in obese adolescent boys. Lechashchij vrach. 2025;28(4):59–69. (In Russ.) https://doi.org/10.51793/OS.2025.28.4.009
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For citations:
Nikitina I.L., Vtornikova N.I., Kelmanson I.A. Clinical phenotypes of obesity comorbidity in adolescent boys. Translational Medicine. 2025;12(4):397-414. (In Russ.) https://doi.org/10.18705/2311-4495-2025-12-4-397-414. EDN: KQZOJG





















