Potential for body mass index as a tool to estimate body fat in young people

Moral-Trinidad, Luis Eduardo del; Romo‐González, Tania; Figueroa, Yeny Paola Carmona; Enríquez, Antonia Barranca; Exsome, Carolina Palmeros; Campos-Uscanga, Yolanda

doi:10.1016/j.enfcle.2020.06.004

Cited by 5 publications

(4 citation statements)

References 19 publications

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“…With the increase in BMI, the prevalence of cardiovascular and cerebrovascular diseases, diabetes, and other risk factors will also increase. As fat accumulates in obese patients, the plasma osmolality increases, disrupting the dynamic balance of the internal environment and leading to a decrease in immune cell function [23] . A study has found that BMI ≥ 25 or higher is an independent risk factor for systemic in ammatory response syndrome after PCNL [4] .…”

Section: Discussionmentioning

confidence: 99%

Risk factors analysis of Flexible Ureteroscopic Lithotripsy with UTI and construction of clinical prediction model

Xiong,

Zhang,

Fan

et al. 2024

Preprint

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Purpose The flexible ureteroscope offers advantages such as safety, minimally invasive procedures, quick recovery, and a high rate of stone removal. It has become a standard method for treating ureteral stones as well as small and medium-sized kidney stones. UTI is one of the most common postoperative complications that can lead to sepsis, systemic inflammatory response syndrome, urological sepsis, and even septic shock. Our aim is to analyze the risk factors for UTI following ureteroscopic lithotripsy and to develop corresponding clinical prediction models. Methods A retrospective analysis was conducted on patients who underwent FURS surgery for urinary tract stones at our hospital from January 2021 to January 2023. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for postoperative infection and to develop the corresponding Nomogram prediction model. Results In total, 560 patients underwent flexible ureteroscopic lithotripsy (FURL) in our hospital, including 111 patients who developed postoperative UTI, resulting in an incidence rate of 19.8%. Analysis of the multivariate logistic regression data showed that renal dysfunction[OR = 2.103(95%CI:1.134–3.907),P = 0.018],positive preoperative urine culture [OR = 6.070(95%CI:1.800-20.474),P = 0.004], positive urinary nitrate [OR = 3.206 (95%CI: 1.599–6.429),P = 0.001],IL-6 > 5.3pg/ml[OR = 6.876(95%CI:3.734–12.661),P < 0.001],uric acid > 430 umol /L [OR = 2.024(95%CI:1.088–3.765),P = 0.026], ureteral stricture[OR = 3.174(95%CI:1.660–6.070), P < 0.001] were independent risk factors for UTI in patients after flexible ureteroscopy. The area under the ROC curve of the constructed nomogram prediction model is 0.89 (95% CI: 0.876–0.937). The concordance index reached 0.841. Conclusion Renal dysfunction, positive preoperative urine culture, positive urine nitrite, IL-6 > 5.3 pg/ml, uric acid > 430 umol/L, and ureteral stenosis were identified as risk factors for UTI after flexible ureteroscopic lithotripsy. The nomogram prediction model has high clinical value in the prediction of UTI.

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Section: Discussionmentioning

confidence: 99%

Risk factors analysis of Flexible Ureteroscopic Lithotripsy with UTI and construction of clinical prediction model

Xiong,

Zhang,

Fan

et al. 2024

Preprint

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“…Although the precise mechanism underpinning these associations remains unclear, one plausible interpretation involves excessive adipose tissue. A meta-analysis revealed a robust correlation between BMI and body fat percentage among college students [ 33 ]. As BMI increases, excess body fat accumulates, resulting in weight gain.…”

Section: Discussionmentioning

confidence: 99%

Body Mass Index is Associated with blood pressure and vital capacity in medical students

Song,

Li,

et al. 2023

Lipids Health Dis

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Background The widely reported associations between body mass index (BMI) and various chronic diseases, such as hypertension and asthma, have garnered significant attention. Nonetheless, there remains a dearth of research dedicated to understanding the health impacts of medical school on the students, who experience considerable academic pressure. In that context, this study was driven by the goal of investigating the intricate interplay between BMI, blood pressure (BP), and vital capacity among medical students. Methods This study included a cohort of 843 medical students enrolled at Southern Medical University who were selected through random cluster sampling. Within this cohort, measurements of height, weight, BP, and vital capacity were taken. Subsequently, both BMI and vital capacity index (VCI) were calculated for each participant. By categorizing the subjects into four groups according to BMI classifications, a comprehensive analysis that included correlation assessments and binomial logistic regression was conducted. Results Within the participant pool, 9.4% and 3.8% of participants were classified as overweight and obese, respectively. Additionally, the prevalence of prehypertension, hypertension, and poor VCI was 18.1%, 2.7%, and 13.5%, respectively. Notably, male students exhibited a higher prevalence of the aforementioned health issues than their female counterparts. Correlation analysis revealed that BMI displayed positive associations with systolic blood pressure (SBP), diastolic blood pressure (DBP), and vital capacity (r = 0.372, 0.257, 0.428; P < 0.001). However, an inverse correlation emerged between BMI and VCI (r = -0.284, P < 0.001). Further analysis revealed that overweight and obese individuals faced an elevated risk of high blood pressure ([OR 2.05, 95% CI 1.15–3.67] and [OR 5.44, 95% CI 2.28–13.02], respectively) compared to their normal-weight counterparts. Moreover, these groups also exhibited a higher risk of poor VCI ([OR 5.25, 95% CI 3.04–9.06] and [OR 15.61, 95% CI 6.81–35.81], respectively), while underweight subjects experienced a reduced risk ([OR 0.19, 95% CI 0.07–0.52]). Conclusions BMI demonstrated a notably strong positive correlation with both BP and vital capacity and a negative correlation with VCI. Therefore, for medical students as well as the daily health care of patients, weight control is recommended to better combat obesity-related diseases, for example, cardiopulmonary diseases, gout and diabetes.

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“…Beden Şekil İndeksi-adölesan ABSI-adölesan BÇ (m)/(BKİ (kg/m 2 ) 0,45 x boy (m) 0,55 ) Turk J Diab Obes 2024; 1: 79-87 (30). Üniversite öğrencileri arasında BKİ-SDS, bel çevresi, bel-boy oranı ve BRI ile PBF arasında yüksek korelasyon bildirilmiştir; bu ölçümlerin arasında BKİ-SDS en yüksek korelasyon katsayısına sahiptir (31). Ayrıca, obez çocuklarda metabolik sendromu öngörmek için BRI'nin BKİ-SDS'ye üstünlüğü gösterilememiştir (32).…”

Section: Antropometrik Indeks Denklemunclassified

Biyoelektrik İmpedans Analiz ile Vücut Yağı Yüzdesi Analizi Yapılan Çocuk ve Adölesanlarda Geleneksel ve Yeni Antropometrik İndekslerin Karşılaştırılması

Özer,

Güneş Kaya

2024

Turk J Diab Obes

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Amaç: Bu çalışmanın amacı, çocuk ve adölesanlarda beden kütle indeksi (BKİ), bel çevresi, kalça çevresi, bel/boy oranı, triponderal kütle indeksi (TKİ), beden adipozite indeksi (BAİ), pediatrik beden adipozite indeksi (BAİp), beden şekil indeksi (ABSI-adölesan), beden yuvarlaklık indeksi (BRI), abdominal volüm indeksi (AVİ) ve konisite indeksinin (Kİ) fazla kilolu/obeziteyi tahmin etme ve beden yağı yüzdesini (PBF) öngörme etkinliğinin araştırılmasıdır. Gereç ve Yöntemler: Kronik hastalığı olmayan 6-18 yaş arasındaki çocuk ve adölesanlar dahil edildi. Vücut kompozisyonunu değerlendirmek için biyoelektrik impedans analizi (BİA) referans yöntem kullanılarak olgular zayıf/normal (grup 1) ve fazla kilolu/ obez (grup 2) olmak üzere 2 gruba ayrıldı. Verilerin değerlendirilmesinde tanımlayıcı istatistikler ile bağımsız t-testi, Mann-Whitney U ve İşlem Karakteristiği Eğrisi (ROC) analizi kullanıldı. Bulgular: Çalışmaya toplamda 466 olgu (%58,6 kız, %41,4 erkek) dahil edildi. Katılımcıların ortanca yaşı 13,2 (10,1-16,0) idi. BİA’ya göre olguların %10,7’si (n=50) zayıf, %33,7’u (n=157) normal, %10,9’u (n=51) fazla kilolu iken %44,6’ü (n=208) obez idi. Tüm kohortta, fazla kilolu/obezlerde BKİ-SDS, bel çevresi, kalça çevresi, bel/boy oranı, TKİ, BAİ, BAİp, ABSI-adölesan, BRI, AVİ ve Kİ anlamlı olarak yüksekti (p

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Potential for body mass index as a tool to estimate body fat in young people

Cited by 5 publications

References 19 publications

Risk factors analysis of Flexible Ureteroscopic Lithotripsy with UTI and construction of clinical prediction model

Risk factors analysis of Flexible Ureteroscopic Lithotripsy with UTI and construction of clinical prediction model

Body Mass Index is Associated with blood pressure and vital capacity in medical students

Biyoelektrik İmpedans Analiz ile Vücut Yağı Yüzdesi Analizi Yapılan Çocuk ve Adölesanlarda Geleneksel ve Yeni Antropometrik İndekslerin Karşılaştırılması

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