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AuthorAhmed, Mohamed Badie
AuthorDoi, Suhail A.
AuthorHabib, Abdella M.
AuthorGlass, Graeme E.
AuthorHammouda, Atalla
AuthorAlyazji, Zaki T.N.
AuthorAl-Mohannadi, Fatima Saoud
AuthorKhoogaly, Hoda
AuthorSyed, Asma
AuthorAlsherawi, Abeer
AuthorBadran, Saif
Available date2024-06-13T08:20:49Z
Publication Date2024-05-22
Publication NameMetabolic Syndrome and Related Disorders
Identifierhttp://dx.doi.org/10.1089/met.2023.0223
CitationAhmed, M. B., Doi, S. A., Habib, A. M., Glass, G. E., Hammouda, A., Alyazji, Z. T., ... & Badran, S. (2024). Bioelectrical Impedance Analysis Detects Body Fat Changes After Surgical Subcutaneous Fat Removal. Metabolic Syndrome and Related Disorders.
ISSN1540-4196
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85188541257&origin=inward
URIhttp://hdl.handle.net/10576/56143
AbstractBackground: The risk and metabolic effects of obesity are determined by the distribution of fat throughout the body. It has been proposed that the distribution of abdominal fat is more closely related to the metabolic risks of obesity. High prevalence of overweight and obesity has thereby contributed to an increased uptake of surgical subcutaneous fat removal (SSFR) procedures. The goal of this study was to determine whether bioelectrical impedance analysis (Tanita system) can be used to detect the removal of excess abdominal subcutaneous fat tissue during SSFR when studying the metabolic effects of such procedures. Methods: Study population comprised patients who received body contouring procedures at the Hamad General Hospital's plastic surgery department between November 2020 and December 2022. To evaluate the factors of interest, subjects were prospectively followed up at two time points: within 1 week before the surgery and within 1-2 weeks thereafter. The following factors were measured: body weight, body fat percentage, body fat mass, body mass index (BMI), fat-free mass, estimated muscle mass, total body water, visceral fat score, and basal metabolic rate. Results: In total, 22 patients were included in the study. The two visits' medians for height, weight, BMI, fat percent (fat%), fat mass, visceral fat rating, and Doi's weighted average glucose (dwAG) were compared. Only in the case of Tanita fat% and fat mass, were the preoperative and postoperative medians significantly different. Furthermore, there was no association between these Tanita measures and dwAG or homeostatic model assessment (HOMA; insulin resistance [IR]) changes (before and after surgery). Tanita measures overestimated fat loss, as seen by the mountain plot and Bland-Altman plot agreement methods. Conclusions: Our findings indicated that the only two Tanita measures exhibited meaningful early associations with the amount of tissue excised which were fat mass and fat% differences. Although dwAG and HOMA-IR are not impacted immediately postsurgery, a trend was seen that suggested improvements in those parameters, even though the changes are not clinically significant.
SponsorThis work was supported by Program Grant No. NPRP14S-0406-210153 from the Qatar National Research Fund.
Languageen
PublisherMary Ann Liebert
Subjectbody contouring surgery
dwAG
insulin resistance
surgical subcutaneous fat removal
Tanita
TitleBioelectrical Impedance Analysis Detects Body Fat Changes After Surgical Subcutaneous Fat Removal
TypeArticle
Issue Number4
Volume Number22
ESSN1557-8518


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