scholarly journals Differences in body fat mass, muscular endurance, coordination and proprioception in woman with and without knee pain: a cross-sectional study

2014 ◽  
Vol 48 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Derya Ozer Kaya
2004 ◽  
Vol 10 (5) ◽  
pp. 409-416 ◽  
Author(s):  
Mihail A. Boyanov ◽  
Natalya L. Temelkova ◽  
Plamen P. Popivanov

2008 ◽  
Vol 11 (9) ◽  
pp. 905-913 ◽  
Author(s):  
G Turconi ◽  
L Maccarini ◽  
R Bazzano ◽  
C Roggi

AbstractObjectiveThe aim of the present study was to investigate blood pressure (BP) levels and their relationship with different indices of body fat in a group of adolescents, in order to evaluate the prevalence of hypertension and plan preventive and corrective strategies.DesignCross-sectional study in primary care.SettingAll high schools in the Aosta Valley region, northern Italy.SubjectsFive hundred and thirty-two adolescents of both sexes, aged 15·4 (standard deviation 0·7) years. The following parameters were measured: body weight, body height, body mass index (BMI), four skinfold thicknesses, body fat mass, waist and hip circumferences and BP.ResultsBMI data indicated a high prevalence of overweight subjects in both sexes, but higher in males, while the prevalence rate of obese adolescents was lower. Of the total, 11·8 % of subjects suffered from systolic hypertension, while 6·9 % suffered from diastolic hypertension. In linear correlation analysis, BMI and all adiposity indices, except waist:hip ratio, were found to be significantly associated (P ranging between 0·05 and 0·001) with both systolic BP and diastolic BP in both sexes, with r ranging between 0·152 and 0·359. Multiple regression analysis with the stepwise method showed BMI and body fat mass to have the strongest association (P < 0·001) with BP, with r ranging between 0·275 and 0·359.ConclusionUnless reversed, these conditions are worrying and predict the possible development of cardiovascular disease in adulthood. There is a pressing need to develop a comprehensive medical and nutrition plan, together with preventive and corrective strategies, in school programmes.


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 519.2-520
Author(s):  
O. Lamkhanat ◽  
H. Azzouzi ◽  
I. Linda

Background:Rheumatoid arthritis (RA) and body composition are closely related. Recent studies have found a significant association between fat mass and disease activity and disability in RA [1].Objectives:We aimed to study the association between body fat mass and its distribution with disease activity, disability, and pain in RA patients.Methods:This is a cross-sectional study of patients with RA diagnosis according to ACR-EULAR 2010 classification recruited from first January 2021. Those with prior cancer, hyperparathyroidism, hyperthyroidism, diabetes, chronic kidney disease, and cirrhosis were excluded. Body fat mass (BFM) and its distribution (gynoid (GFM), android (AFM), visceral (VFM), limbs (LFM), trunk (TFM)) were measured with dual-energy X-ray absorptiometry (Hologic, Horizon QDR®). Clinical data and laboratory tests of the same day of the DXA scan were analyzed. The associations between BFM and its distribution with disease activity score (DAS28CRP), pain visual analogue scale (VAS), and disability measured by health assessment questionnaire (HAQ) were explored. Obesity was defined as a body mass index (BMI) ≥ of 25kg/m2. Our statistical analysis was based on descriptive study, comparisons and linear regressions using SPSS 20.Results:It is about 69 RA patients. Their mean age was 49.86 ± 14.33 years, mean DAS28CRP was 2.56 ± 1.27, and mean disease duration was 14.84 ± 10.99 years. Sixty-two (89.9%) were women. The mean BMI was 26.46 ± 5.26 kg/m2, and 41 patients were obese (59.4%). Compared with non-obese patients, obese patients had a higher C-reactive protein (p = 0.03). DAS28CRP was higher in obese patients (2.77 ± 1.41 vs 2.25 ± 0.97) but did not reach significance (p = 0.07). We did not find any difference between the two groups regarding pain and disability. In univariate regression analysis, the LFM was positively associated with disease activity (p = 0.001; β = 0.38), pain (p = 0.001; β = 0.38) and disability (p = 0.007; β = 0.32). Adjusted on BMI, LDL cholesterol, triglyceride, cumulative dose of corticosteroid, disease and corticosteroid duration, menopause duration, dose and duration of methotrexate, we found a significant association between LFM, disability (p = 0.02; β = 0.51), disease activity (p = 0.02; β = 0.54) and pain (p = 0.009; β = 0.57). However, we had no association between disease activity, pain, and disability with BFM and the other components.Conclusion:Limbs fat mass was significantly associated with the activity, disability, and pain in RA patients.References:[1]Kyeong Min Son, Seong Hun Kang, Young Il Seo, Hyun Ah Kim. Association of body composition with disease activity and disability in rheumatoid arthritis. Korean J Intern Med. 2021 Jan;36(1):214-222.Disclosure of Interests:None declared


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mathilde Lolk Thomsen ◽  
Louise Scheutz Henriksen ◽  
Jeanette Tinggaard ◽  
Flemming Nielsen ◽  
Tina Kold Jensen ◽  
...  

Abstract Background Exposure to perfluoroalkyl substances (PFASs) has been associated with changes in body mass index and adiposity, but evidence is inconsistent as study design, population age, follow-up periods and exposure levels vary between studies. We investigated associations between PFAS exposure and body fat in a cross-sectional study of healthy boys. Methods In 109 boys (10–14 years old), magnetic resonance imaging and dual-energy X-ray absorptiometry were performed to evaluate abdominal, visceral fat, total body, android, gynoid, android/gynoid ratio, and total fat percentage standard deviation score. Serum was analysed for perfluorooctanoic acid, perfluorooctane sulfonic acid (PFOS), perfluorohexane sulfonic acid, perfluorononanoic acid, and perfluorodecanoic acid using liquid chromatography and triple quadrupole mass spectrometry. Data were analysed by multivariate linear regression. Results Serum concentrations of PFASs were low. Generally, no clear associations between PFAS exposure and body fat measures were found; however, PFOS was negatively associated with abdominal fat (β = -0.18, P = 0.046), android fat (β = -0.34, P = 0.022), android/gynoid ratio (β = -0.21, P = 0.004), as well as total body fat (β = -0.21, P = 0.079) when adjusting for Tanner stage. Conclusions Overall, we found no consistent associations between PFAS exposure and body fat. This could be due to our cross-sectional study design. Furthermore, we assessed PFAS exposure in adolescence and not in utero, which is considered a more vulnerable time window of exposure.


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