online ISSN 2415-3176
print ISSN 1609-6371
logoExperimental and Clinical Physiology and Biochemistry
J. 2026, 106(2): 41–47

Clinical medicine


The use of classical and innovative anthropometric indicators as health screening tools in a professional cohort of workers at footwear manufacturing enterprises

U. B. LOTOTSKA-DUDYK, L. B. LOTOTSKA

Received: 12-07-2026

Accepted: 23-09-2026

Published: 28-09-2026

Abstract

Abstract. This article presents a predictive assessment of health risks for workers in the footwear industry based on anthropometric approaches. The study included 190 workers from the main production departments of footwear manufacturing enterprises: 112 men (58.95 %) aged 26–64 and 78 women (41.05 %) aged 25–62. The comprehensive anthropometric examination included measurements of height (H, m), body weight (BW, kg), waist circumference (WC, cm), and hip circumference (HC, cm). Anthropometric indicators were applied and calculated for the assessment: classical indicators – body mass index (BMI) and innovative indicators – a body shape index (ABSI), body roundness index (BRI), and waist-to-hip ratio (WHR).

Results. BMI increases significantly with longer tenure, regardless of the production unit. Overweight was detected in 35.59–44.12 % of workers, and central obesity of varying degrees was found in 11.76–23.8 % of workers. Visceral obesity was found in 32.14% of men and 64.1 % of women; hidden abdominal obesity with a normal BMI was found in 8.9 % and 23.08 %, respectively. An increased risk of metabolic syndrome and insulin resistance, as assessed by the WHR, was found in 16.94–20.63 % of workers; as assessed by the BRI, it was found in 13.3–34.78 % of men and 22.2–41.67 % of women. The proportion of workers with moderate (15.87–22.03 %), high, and very high (8.47–11.11 %) cardiovascular risk based on the ABSI value was identified.

Conclusions. A comprehensive anthropometric study makes it possible to detect early disturbances in metabolic homeostasis even before the clinical manifestation of a disease, thereby creating the conditions for the early implementation of preventive, therapeutic, and rehabilitative measures.

The introduction of anthropometric profile assessment into occupational medicine can be viewed as an important public health tool aimed at extending professional longevity, maintaining a high level of work capacity, and improving the quality of life for Ukraine’s working population.

Keywords: workers, footwear enterprises, anthropometric markers, obesity, metabolic profile, cardiovascular disease, insulin resistance, health risks

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References
  1. Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT. Anthropometric indicators as a tool for diagnosis of obesity and other health risk factors: a literature review. Frontiers in psychology. 2021;12:631179.doi.org/10.3389/fpsyg.2021.631179
  2. Chaquila JA, Ramirez-Jeri G, Miranda-Torvisco F, Baquerizo-Sedano L, Aparco JP.Predictive ability of anthropometric indices for risk of developing metabolic syndrome: a cross-sectional study. The Journal of international medical research.024;52(11):3000605241300017. doi.org/10.1177/03000605241300017
  3. Ward LC, Brantlov S. Bioimpedance basics and phase angle fundamentals. Rev Endocr Metab Disord. 2023;24:381–391. doi.org/10.1007/s11154-022-09780-3
  4. Guarro Miguel JJ, Tárraga López PJ, Marzoa Jansana MD, López-González ÁA, Riutord Sbert P, Busquets-Cortés C, et al. Diagnostic Accuracy of Anthropometric and Metabolic Indicators for Predicting MASLD: Evidence from a Large Cohort of Spanish Workers Using FLI and LAP. Medical sciences (Basel, Switzerland). 2025;13(3):160. doi.org/10.3390/medsci13030160
  5. Virtanen M, Jokela M, Lallukka T, Magnusson Hanson L, Pentti J, Nyberg ST, et al. Long working hours and change in body weight: analysis of individual-participant data from 19 cohort studies. International journal of obesity. 2020;44(6):368–375. doi.org/10.1038/s41366-019-0480-30
  6. Pray R, Riskin S. The history and faults of the body mass index and where to look next: a literature review. Cureus. 2023;15(11):e48230. doi.org/10.7759/cureus.48230
  7. He L, Lin H, Zhang X, Ling X. Risk stratification in early-stage cardiovascular-kidney-met- abolic syndrome: the potency of visceral adiposity and insulin resistance surrogate indices. Diabetes research and clinical practice. 2026;237:113336. doi.org/10.1016/j.diabres.2026.113336
  8. Tenopoulou M, Doulias PT. Endothelial nitric oxide synthase-derived nitric oxide in the regulation of metabolism. F1000Research. 2020;9:F1000 Faculty Rev-1190.doi.org/10.12688/f1000research.19998.1
  9. Zafrilla-Sánchez S, Molina-Luque R, Molina-Recio G, Alcaide-Leyva JM, Rodríguez MG, Romero-Saldaña M. Evaluation of the predictive capacity of metabolic syndrome severity scores and anthropometric indicators in a Spanish working cohort. Nutrition (Burbank, Los Angeles County, Calif. 2026;148:113138. doi.org/10.1016/j.nut.2026.113138
  10. Calderón-García JF, Roncero-Martín R, Rico-Martín S, De Nicolás-Jiménez JM, López-Espuela F, Santano-Mogena E, et al. Effectiveness of Body Roundness Index (BRI) and a Body Shape Index (ABSI) in Predicting Hypertension: A Systematic Review and Meta-Analysis of Observational Studies. Int J Environ Res Public Health. 2021;18(21):11607. doi.org/10.3390/ijerph182111607


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