body fat percentage
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2024 ◽  
Vol 55 (11) ◽  
pp. 973-979 ◽  
P Deurenberg ◽  
A Andreoli ◽  
P Borg ◽  
K Kukkonen-Harjula ◽  
A de Lorenzo ◽  

2022 ◽  
Vol 14 (1) ◽  
Dan-dan Li ◽  
Yang Yang ◽  
Zi-yi Gao ◽  
Li-hua Zhao ◽  
Xue Yang ◽  

Abstract Background Body composition alterations may participate in the pathophysiological processes of type 2 diabetes (T2D). A sedentary lifestyle may be responsible for alterations of body composition and adverse consequences, but on which body composition of patients with T2D and to what extent the sedentary lifestyle has an effect have been poorly investigated. Methods We recruited 402 patients with T2D for this cross-sectional study. All patients received questionnaires to evaluate sedentary time and were further divided into three subgroups: low sedentary time (LST, < 4 h, n = 109), middle sedentary time (MST, 4–8 h, n = 129) and high sedentary time (HST, > 8 h, n = 164). Each patient underwent a dual energy X-ray absorptiometry (DXA) scan to detect body composition, which included body fat percentage (B-FAT), trunk fat percentage (T-FAT), appendicular skeletal muscle index (ASMI), lumbar spine bone mineral density (BMD) (LS-BMD), femoral neck BMD (FN-BMD), hip BMD (H-BMD) and total BMD (T-BMD). Other relevant clinical data were also collected. Results With increasing sedentary time (from the LST to HST group), B-FAT and T-FAT were notably increased, while ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD were decreased (p for trend < 0.01). After adjustment for other relevant clinical factors and with the LST group as the reference, the adjusted mean changes [B (95% CI)] in B-FAT, T-FAT, ASMI, LS-BMD, FN-BMD, H-BMD and T-BMD in the HST group were 2.011(1.014 to 3.008)%, 1.951(0.705 to 3.197)%, − 0.377(− 0.531 to − 0.223) kg/m2, − 0.083(− 0.124 to − 0.042) g/cm2, − 0.051(− 0.079 to − 0.024) g/cm2, − 0.059(− 0.087 to − 0.031) g/cm2 and − 0.060(− 0.088 to − 0.033) g/cm2, p < 0.01, respectively. Conclusions A sedentary lifestyle may independently account for increases in trunk and body fat percentage and decreases in appendicular skeletal muscle mass and BMD of the lumbar spine, femoral neck, hip and total body in patients with T2D.

Metabolites ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 73
Renata Vargas Sinatora ◽  
Eduardo Federighi Baisi Chagas ◽  
Fernando Otavio Pires Mattera ◽  
Luciano Junqueira Mellem ◽  
Ana Rita de Oliveira dos Santos ◽  

The increased deposition of visceral fat in the postmenopause period increases the production of inflammatory cytokines and the release of tumor necrosis factor- α (TNF-α), interleukin-6 (IL-6), and decrease in IL-10. This study investigated the relationship between inflammatory biomarkers and metabolic syndrome (MS) in postmenopausal women considering different diagnostic criteria. We conducted a cross-sectional observational study based on STROBE. Data were collected regarding the diagnostic criteria for MS (International Diabetes Federation; NCEP (International Diabetes Federation (IDF), National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP-III), and Harmonized criteria), body composition, comorbidities, time without menstruation, values of IL-6, IL-10, and TNF-α. ANOVA, Kruskal–Wallis, Levene tests, ROC, and odds ratio were performed to analyze the data. The results showed no significant difference between the methods and no interaction between the method and the presence of MS. However, for the values of WC, body fat percentage, TNF-α, and IL-10/TNF-α ratio, a significant effect of MS was observed. In subjects with MS, lower values of body fat percentage and TNF-α and higher values of the IL-10/TNF-α ratio were also observed. The higher IL-10/TNF-α ratio in the MS group is related to the greater anti-inflationary action of IL-10. The IL-10/TNF-α ratio showed significant accuracy to discriminate patients with MS according to the NCEP-ATP III criteria.

2022 ◽  
Ling-jie Xu ◽  
Ling-shan Zhou ◽  
Qian Xiao ◽  
Jin-liang Chen ◽  
Cheng Luo ◽  

Abstract Background: Examine the association of serum Lp(a) with sarcopenia in Chinese elderly.Methods: We conducted this study using 2015–2020 data from hospitalized Chinese people 60 years old and older. Total body fat percentage and appendicular skeletal muscle mass were assessed with a dual-energy X-ray absorptiometry scan. We classified the participants into four sarcopenia/obesity groups based on both total body fat percentage and appendicular skeletal muscle mass.Results: The analysis included data of 528 participants. the LP(a) level of sarcopenia was significantly higher than no sarcopenia, compared with obese or no obese groups. Furthermore, In the sarcopenic obesity group, the LP(a) level was highest. Correlation analysis showed that ASM/height2 was negatively correlated with LP(a). Logistic regression analysis showed that sarcopenia was positively associated with LP(a).Conclusions: Our study shows that sarcopenia appeared to be significantly associated with Lp(a) no matter the subjects had obesity or not.

2022 ◽  
Vol 12 (2) ◽  
pp. 727
Maria Martinez-Ferran ◽  
Eleh Rafei ◽  
Carlos Romero-Morales ◽  
Margarita Pérez-Ruiz ◽  
Alberto Lam-Meléndez ◽  

Body composition is a determinant of performance in soccer. To estimate the body fat percentage (%BF), dual energy X-ray absorptiometry (DXA) is effective though this method is expensive and not readily accessible. This study examines the validity of widely used field methods based on anthropometric data and bioelectrical impedance analysis (BIA). Participants were 21 male Spanish First Division soccer players aged between 22 and 35 years. In each participant, body fat mass was determined by BIA and using 18 anthropometric equations including skinfold (SKF) measurements. DXA was used as reference. Correlation with DXA measurements was excellent for all equations and separate SKF measurements yet only moderate for BIA. However, only the equation recently developed for use in soccer players based on iliac crest and triceps SKFs showed no significant or standardized differences with DXA-derived %BF and these measurements also had the lowest bias. Our findings suggest that when DXA is not available, the best field method for %BF assessment in footballers is the equation based on iliac crest and triceps SKF. As another good option, we propose the sum of triceps, subscapular, supraspinal, and abdominal SKFs, as this combination also showed good correlation with DXA.

2022 ◽  
Vol 11 (1) ◽  
pp. e36711125000
Carini Silva da Silva ◽  
Gabriela de Oliveira Teles ◽  
Vitor Alves Marques ◽  
Maria Sebastiana Silva ◽  
Ana Cristina Silva Rebelo ◽  

This study evaluated the effects of physical exercise on cardiovascular and psychobiological health (levels of anxiety, depression, fatigue) in university students. A cross-sectional study was conducted, including 72 students in the health care field in 2018. First, an anamnesis was conducted, with information on the eligibility criteria and the physical exercise they practice, to obtain the groups "practices physical exercise" and "no physical exercise." Among eligible individuals, anthropometric measurements were taken, heart rate variability was recorded, questionnaires on depression, anxiety, fatigue, and physical activity were applied, along with a cardiorespiratory test. Of the student participants, 45.0% were female, 20.0% were male, and 42 reported exercising, 30 did not. High levels of depression, anxiety, fatigue, and body fat percentage above adequate levels were observed in the study group. Students who practiced physical exercise had lower depression scores, lower body fat percentage, and better autonomic modulation when comparing study groups. There was no difference in cardiorespiratory fitness between practitioners and non-practitioners of physical exercise. A more active lifestyle, including the practice of regular physical activity, is a practical component in improving cardiometabolic and psychobiological profiles in university students and, therefore, should be encouraged during university life.

Scientifica ◽  
2022 ◽  
Vol 2022 ◽  
pp. 1-8
Roberto E. Nuñez-Leyva ◽  
Tabita E. Lozano-López ◽  
Yaquelin E. Calizaya-Milla ◽  
Sergio E. Calizaya-Milla ◽  
Jacksaint Saintila

Background. Obesity is one of the most important public health problems for university students. The objective of the study was to evaluate the association between body mass index (BMI) and body fat percentage (%BF) with waist circumference (WC) as a cardiometabolic risk factor (CMR) among university students. Methods. A cross-sectional study was carried out in 2,048 students from a private university located in Lima, Peru. Anthropometric data (weight, height, %BF, and WC) were collected. Chi-square test was used. Association analysis was performed using multiple logistic regression. Results. The findings indicated that 36.9% and 61.1% of men were overweight and had higher %BF, respectively, compared to women. Women (OR, 0.22; 95% CI, 0.17, 0.29), Peruvian students (OR, 0.59; 95% CI, 0.39, 0.90), and students enrolled in the faculty of health sciences (OR = 0.76; 95% CI, 0.62, 0.94) are less likely to manifest CMR. Also, excess body weight (OR, 17.28; 95% CI, 13.21, 22.59) and a high %BF (OR, 4.55; 95% CI, 3.55, 5.84) were strongly associated with CMR. Conclusion. CMRs are a public health problem among university students. Therefore, it is important to carry out healthy lifestyle programs to promote better control and prevention, particularly among male students and those who have excess weight and body fat.

2022 ◽  
Vol 5 (S2) ◽  
pp. 36-43
Nur Farisya Athirah Zulkifli ◽  
Bee Suan Wee

Lack of physical activity among adolescents is one of the factors which lead to the accumulation of body fat and increase prevalence of obesity among Malaysian population. Therefore, this study was aimed to determine the association between body fat percentage and physical activity level among adolescents in Kuala Nerus, Terengganu. This cross-sectional study involved 300 participants consists of 44.7% male and 55.3% female aged between 10 to 16 years old. Anthropometric measurements included body weight, height and waist circumference. Body fat percentage (%BF) was assessed using bioelectrical impedance analysis (BIA). Physical activity was assessed by physical activity questionnaire (PAQ-C) and pedometers in a subsample (n = 50). The result shows that the mean body fat percentage and BMI of the participants were 23.02±9.41% and 20.03±4.77 kg/m2, respectively. Mean PAQ-C score and pedometer steps count for both genders were 1.9±0.42 and 6079±1878, respectively. Male has higher PA level compared to female in their daily life based on PAQ-C score and pedometer steps count. PAQ-C score and pedometer step counts were negatively associated with %BF however there is no significant association between screen time and %BF. As a conclusion, the problems of obesity can be solved by providing strategies to promote active living among adolescents in Malaysia not only focus on increasing physical activity but also emphasise reduction in sedentary behaviours.


Objectives: To determine the ability of handgrip strength combined with body mass index (BMI, kg/m2) to estimate body fat percentage (BF%) in middle-aged and older Asian adults. Methods: Middle-aged and older Asian adults (n=459, males=197) were randomly divided into a validation and model development group (n=303) and cross-validation group (n=156). A whole-body scan using dual energy x-ray absorptiometry measured BF%. Bland-Altman plots, standard error of the estimates, total errors and mean absolute errors were used to compare prediction equations. Stepwise regression analysis was used to determine a new prediction equation for middle-aged and older Asian adults. Right and left handgrip strength, age, sex and BMI were included in the analysis. Results: A previously developed prediction equation that included handgrip strength poorly predicted BF% in our current sample with the mean difference being -6.0 ± 4.2%. Predicted BF% values were significantly lower than measured BF% values (22.7% vs. 28.7%, p<0.05). A new prediction equation was developed that included sex, BMI, left handgrip strength and age. Validation of the new equation revealed a constant error of 0.2 ± 3.9% with there being no significant difference between measured and predicted BF% (28.2% vs. 28.5%, p=0.467). Previously developed BF% equations using BMI, but not handgrip strength, had similar constant errors and mean absolute errors compared to the new prediction equation. Conclusion: Handgrip strength does not appear to improve the estimation of body fat percentage from BMI prediction equations in middle and older-aged Asian adults.

2022 ◽  
Vol 10 (1) ◽  
pp. e002510
Wen Xiuyun ◽  
Lin Jiating ◽  
Xie Minjun ◽  
Li Weidong ◽  
Wu Qian ◽  

IntroductionInsomnia is a novel pathogen for type 2 diabetes mellitus (T2DM). However, mechanisms linking insomnia and T2DM are poorly understood. In this study, we apply a network Mendelian randomization (MR) framework to determine the causal association between insomnia and T2DM and identify the potential mediators, including overweight (body mass index (BMI), waist-to-hip ratio, and body fat percentage) and glycometabolism (HbA1c, fasting blood glucose, and fasting blood insulin).Research design and methodsWe use the MR framework to detect effect estimates of the insomnia–T2DM, insomnia–mediator, and mediator–T2DM associations. A mediator between insomnia and T2DM is established if MR studies in all 3 steps prove causal associations.ResultsIn the Inverse variance weighted method, the results show that insomnia will increase the T2DM risk (OR 1.142; 95% CI 1.072 to 1.216; p=0.000), without heterogeneity nor horizontal pleiotropy, strongly suggesting that genetically predicted insomnia has a causal association with T2DM. Besides, our MR analysis provides strong evidence that insomnia is causally associated with BMI and body fat percentage. There is also suggestive evidence of an association between insomnia and the waist-to-hip ratio. At the same time, our results indicate that insomnia is not causally associated with glycometabolism. Higher BMI, waist-to-hip ratio, and body fat percentage levels are strongly associated with increased risk of T2DM.ConclusionsGenetically predicted insomnia has a causal association with T2DM. Being overweight (especially BMI and body fat percentage) mediates the causal pathway from insomnia to T2DM.

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