Research Article

Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment

Volume: 2 Number: 1 September 14, 2026
EN

Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment

Abstract

Aim: The aim of this study is to determine the somatotype and body compositions of patients with pilonidal sinus (PS) and to determine in which body structure pilonidal sinus is more common. Materials and Methods: 80 male patients diagnosed with PS were included in the study. Somatotypes were calculated by the Heath-Carter method. Number of orifices, daily sitting time, fat ratio, muscle ratio, bone mass, length of hospital stay (LHS) and disease duration of patients with PS were recorded. Results: According to the Kruskall Wallis H test results, statistically significant differences were found between somatotypes in terms of weight, Body Mass Index (BMI), anthropometric measurements for calculating somatotype, somatotype components and muscle rate (p<0.05), while no statistically significant differences were found between somatotypes in terms of age and height (p>0.05). As a result of Post hoc test conducted to find out from which somatotype statistically significant differences in weight, Body Mass Index (BMI) and muscle ratio values resulted, it was found that central somatotype caused statistically significant changes (p<0.05). It was found that patients with central somatotype had more abscess than other somatotypes (88.9%). According to Spearman’s Rho correlation analysis results, it was concluded that the number of orifices was not affected by BMI, sitting time, fat ratio, muscle ratio, bone mass and disease duration. Conclusion: This study demonstrates that individuals with larger body frames, a tendency to gain weight easily, rapid fat accumulation, and broader shoulders may have an increased risk of developing PS disease.

Keywords

Anthropometry, body composition, pilonidal sinus, somatotype.

References

  1. Anderson AW. Hair extracted from an ulcer. Boston Med Surg J. 1847;36:74–76.
  2. Akinci OF, Bozer M, Uzunköy A, et al. Incidence and aetiological factors in pilonidal sinus among Turkish soldiers. Eur J Surg. 1999;165:339–342.
  3. Gülçelik T. Pilonidal sinüs hastalığında risk faktörleri, uygulanan cerrahi teknik ve hastaya bağlı değişkenlerin ameliyat sonrası komplikasyonlarla ilişkisi. İstanbul: Yeditepe University Faculty of Medicine; 2013. Specialization thesis.
  4. Chintapatla S, Safarani N, Kumar S, et al. Sacrococcygeal pilonidal sinus: historical review, pathological insight and surgical options. Tech Coloproctol. 2003;7(1):3–8.
  5. Tezel E, Bostancı H, Azılı C, et al. A new perspective for pilonidal sinus disease and its treatment. Marmara Med J. 2009;22(1):85–89.
  6. Duquet W, Carter JEL. Somatotyping, kinanthropometry and exercise physiology laboratory manual: tests, procedures and data. 3rd ed. London: Routledge, Taylor & Francis Group; 2009.
  7. Çiftçi R, Kızılay F, Toy Ş, et al. Evaluation of the relationship between nutritional status and somatotype profiles in children with physical disability. Med J Mugla Sitki Kocman Univ. 2021;8(2):127–131.
  8. Peker İ, Çiloğlu F, Buruk Ş, et al. Egzersiz biyokimyası ve obezite. İstanbul: Nobel Tıp Kitabevi; 2000. p. 83–92.
  9. Eston R, Reilly T. Kinanthropometry and exercise physiology laboratory manual: tests, procedures and data. 3rd ed. Abingdon: Routledge; 2009. p. 54–62. 10.
  10. Şenol D, Altınoğlu M, Toy Ş, et al. Investigation of the relationship of Q angle and stork balance stand test with somatotype in healthy young individuals. Med Records. 2019;1(3):60–66.
APA
Sencan Senol, D., & Senol, D. (2026). Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment. Dynamic Medical Theories, 2(1), 36-43. https://doi.org/10.63594/dmte.2026.0005
AMA
1.Sencan Senol D, Senol D. Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment. Dyna Med Theories. 2026;2(1):36-43. doi:10.63594/dmte.2026.0005
Chicago
Sencan Senol, Demet, and Deniz Senol. 2026. “Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment”. Dynamic Medical Theories 2 (1): 36-43. https://doi.org/10.63594/dmte.2026.0005.
EndNote
Sencan Senol D, Senol D (September 1, 2026) Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment. Dynamic Medical Theories 2 1 36–43.
IEEE
[1]D. Sencan Senol and D. Senol, “Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment”, Dyna Med Theories, vol. 2, no. 1, pp. 36–43, Sept. 2026, doi: 10.63594/dmte.2026.0005.
ISNAD
Sencan Senol, Demet - Senol, Deniz. “Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment”. Dynamic Medical Theories 2/1 (September 1, 2026): 36-43. https://doi.org/10.63594/dmte.2026.0005.
JAMA
1.Sencan Senol D, Senol D. Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment. Dyna Med Theories. 2026;2:36–43.
MLA
Sencan Senol, Demet, and Deniz Senol. “Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment”. Dynamic Medical Theories, vol. 2, no. 1, Sept. 2026, pp. 36-43, doi:10.63594/dmte.2026.0005.
Vancouver
1.Demet Sencan Senol, Deniz Senol. Identifying High-Risk Body Profiles for Pilonidal Sinus Disease: A Somatotype-Based Clinical Assessment. Dyna Med Theories. 2026 Sep. 1;2(1):36-43. doi:10.63594/dmte.2026.0005