Relation of body mass index, fat mass index and fat-free mass index to blood pressure in children aged 7–12 in Shandong, China

2011 ◽  
Vol 38 (3) ◽  
pp. 313-316 ◽  
Author(s):  
Ying-Xiu Zhang ◽  
Shu-Rong Wang
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Fat Mass Index

scholarly journals An Increase in Fat Mass Index Predicts a Deterioration of Running Speed

Nutrients ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 701 ◽  
Author(s):  
Laurence Genton ◽  
Julie Mareschal ◽  
Véronique L. Karsegard ◽  
Najate Achamrah ◽  
Marta Delsoglio ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
High Body Mass Index ◽  
Bioelectrical Impedance ◽  
Fat Free Mass ◽  
Running Speed ◽  
Fat Mass Index ◽  
Running Performance

A low fat mass is associated with a good running performance. This study explores whether modifications in body composition predicted changes in running speed. We included people who underwent several measurements of body composition by bioelectrical impedance analysis between 1999 and 2016, at the “Course de l’Escalade”, taking place yearly in Geneva. Body composition was reported as a fat-free mass index (FFMI) and fat mass index (FMI). Running distances (men: 7.2 km; women: 4.8 km) and running times were used to calculate speed in km/h. We performed multivariate linear mixed regression models to determine whether modifications of body mass index, FFMI, FMI or the combination of FFMI and FMI predicted changes in running speed. The study population included 377 women (1419 observations) and 509 men (2161 observations). Changes in running speed were best predicted by the combination of FFMI and FMI. Running speed improved with a reduction of FMI in both sexes (women: ß −0.31; 95% CI −0.35 to −0.27, p < 0.001. men: ß −0.43; 95% CI −0.48 to −0.39, p < 0.001) and a reduction of FFMI in men (ß −0.20; 95% CI −0.26 to −0.15, p < 0.001). Adjusted for body composition, the decline in running performance occurred from 50 years onward, but appeared earlier with a body mass, FFMI or FMI above the median value at baseline. Changes of running speed are determined mostly by changes in FMI. The decline in running performance occurs from 50 years onward but appears earlier in people with a high body mass index, FFMI or FMI at baseline.

scholarly journals Reference values of fat mass index and fat-free mass index in healthy Spanish adolescents.

2020 ◽  
Author(s):  
Teodoro Durá-Travé ◽  
Fidel Gallinas-Victoriano ◽  
María Chueca-Guindulain ◽  
Sara Berrade-Zubiri ◽  
María Malumbres-Chacón ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Clinical Practice ◽  
Body Mass ◽  
Fat Mass ◽  
Reference Values ◽  
Reference Standards ◽  
Daily Clinical Practice ◽  
Fat Free Mass ◽  
Fat Mass Index ◽  
Body Compartments

Abstract Background . Body mass index (BMI) does not allow to discriminate the composition of the different body compartments. The aim of this study is to elaborate reference values ​of the fat mass index (FMI) and fat-free mass index (FFMI) in healthy adolescents using anthropometric techniques in order to be available as reference standards in daily clinical practice.

scholarly journals Associations of body composition and physical fitness with gestational diabetes and cardiovascular health in pregnancy: Results from the HealthyMoms trial

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Pontus Henriksson ◽  
Johanna Sandborg ◽  
Emmie Söderström ◽  
Marja H. Leppänen ◽  
Victoria Snekkenes ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Gestational Diabetes ◽  
Body Mass ◽  
Cardiorespiratory Fitness ◽  
Fat Mass ◽  
Cardiovascular Health ◽  
Handgrip Strength ◽  
Fat Free Mass ◽  
Fat Mass Index

AbstractThe aim of this study was to examine associations of body composition (fat mass index, % fat mass, fat-free mass index, body mass index) and physical fitness (cardiorespiratory fitness and handgrip strength) with gestational diabetes and cardiovascular health in early pregnancy. This cross-sectional study utilized baseline data (n = 303) collected in early pregnancy from the HealthyMoms trial. Body composition was measured using air-displacement plethysmography, cardiorespiratory fitness was assessed by means of the 6-min walk test and handgrip strength using a dynamometer. Logistic regression was used to estimate odds ratios (ORs) for gestational diabetes as well as high (defined as 1 SD above the mean) blood pressure, homeostatic model assessment for insulin resistance (HOMA-IR), and metabolic syndrome score (MetS score) per 1 SD increase in body composition and fitness variables. Fat mass index, % fat mass and body mass index were all strongly associated with gestational diabetes (ORs: 1.72–2.14, P ≤ 0.003), HOMA-IR (ORs: 3.01–3.80, P < 0.001), blood pressure (ORs: 1.81–2.05, P < 0.001) and MetS score (ORs: 3.29–3.71, P < 0.001). Associations with fat-free mass index were considerably weaker (ORs: 1.26–1.82, P = 0.001–0.15) and were strongly attenuated after adjustments for fat mass index (ORs: 0.88–1.54, P = 0.039–0.68). Finally, greater cardiorespiratory fitness was associated with lower risk of high HOMA-IR and MetS score (ORs: 0.57–0.63, P  ≤ 0.004) although these associations were attenuated when accounting for fat mass index (ORs: 1.08-1.11, P ≥ 0.61). In conclusion, accurately measured fat mass index or % fat mass were strongly associated with gestational diabetes risk and markers of cardiovascular health although associations were not stronger than the corresponding ones for body mass index. Fat-free mass index had only weak associations with gestational diabetes and cardiovascular health which support that the focus during clinical care would be on excess fat mass and not fat-free mass.

scholarly journals The Single Nucleotide PolymorphismPPARG2Pro12Ala Affects Body Mass Index, Fat Mass, and Blood Pressure in Severely Obese Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ana Paula dos Santos Rodrigues ◽  
Lorena Pereira Souza Rosa ◽  
Hugo Delleon da Silva ◽  
Elisângela de Paula Silveira-Lacerda ◽  
Erika Aparecida Silveira
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Obese Patients ◽  
Pro12ala Polymorphism ◽  
Logistic Regression Models ◽  
Severely Obese

Background. ThePPARG2Pro12Ala (rs1801282) andIL6-174G >C (rs1800795) have important function in body weight regulation and a potential role in obesity risk. We aimed to investigate the association betweenPPARG2Pro12Ala andIL6-174G >C variants and the genotypes interaction with body composition, metabolic markers, food consumption, and physical activity in severely obese patients.Methods. 150 severely obese patients (body mass index (BMI) ≥ 35 kg/m2) from Central Brazil were recruited. Body composition, metabolic parameters, physical activity, and dietary intake were measured. The genotype was determined by the qPCR TaqMan Assays System. Multiple linear regression and multiple logistic regression models were fitted adjusting for confounders.Results. Ala carriers of the Pro12Ala polymorphism had higher adiposity measures (BMI:p=0.031, and fat mass:p=0.049) and systolic blood pressure (p=0.026) compared to Pro homozygotes. We found no important associations between the -174G >C polymorphism and obesity phenotypes. When genotypes were combined, individuals with genotypes ProAla + AlaAla and GC + CC presented higher BMI (p=0.029) and higher polyunsaturated fatty acids (PUFAs) consumption (p=0.045) compared to the ones with genotypes ProPro and GG, and individuals carriers of thePPARG2Ala allele only (genotype ProAla + AlaAla and GG) had higher fat mass and systolic and diastolic blood pressure compared to the ones with genotypes ProPro and GG.Conclusions. Severely obese individuals carrying the Ala allele of thePPARG2Pro12Ala polymorphism had higher measures of adiposity and blood pressure, while no important associations were found for theIL6-174G >C polymorphism.

scholarly journals Nutritional status assessment of the Polish Border Guards officers – Body Mass Index or Fat Mass Index?

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Anna Anyzewska ◽  
Roman Lakomy ◽  
Tomasz Lepionka ◽  
Ewa Szarska ◽  
Ewelina Maculewicz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Nutritional Status ◽  
Body Mass ◽  
Fat Mass ◽  
Well Being ◽  
Good Health ◽  
Entire Body ◽  
Fat Percentage ◽  
Fat Mass Index ◽  
Status Assessment

AbstractIntroduction:Border Guards service requirements are very specific. Very good health and excellent psycho-physical condition are the main factors that determine effectiveness and reliability of designated tasks. Disorders of nutritional status, such as underweight, overweight or obesity not only impairs well-being, but also are health problem associated with limitation of possibilities to perform Border Guard's tasks and duties and can lead to earlier elimination from the service. The aim of the study was to assess nutritional status, using two indicators: Body Mass Index (BMI) and Fat Mass Index (FMI).Materials and methods:The study was carried out with participation of 259 Border Guards (64 women and 195 men), aged 38 ± 6; years of service: 12 ± 6. An electric bioimpedance method (TANITA MC-780) was used to determine body composition. Body Mass Index (BMI [kg/m2] = body mass [kg] / height2 [m2]) and Fat Mass Index FMI [kg/m2] = fat mass [kg] / height2 [m2]) were calculated for each of the participants.Results and discussion:Examined group of Polish Border Guards officers was characterized by a large variety of assessed anthropometric indicators. According to the BMI classification excess body mass was more often (p < 0.001) observed in men (68%) than in women (25%) and according to the FMI classification excess fat was also more often (p < 0.001) observed in men (55%) than in women (28%). BMI classification of overweight or obese was observed in 41 of participants with the normal FMI level. Fat percentage of women with normal BMI ranged from 11.6 to 33.5% and tat percentage of men with normal BMI ranged from 7.3 to 21.6%. There are difficulties in BMI interpretation in adults with increased physical activity. It seems more reasonable to assess correctness of nutritional status on the basis of an analyze of FMI value, as this indicator assesses degree of fatness, and not the entire body weight, which, in case of uniformed services usually is greater due to extensive muscle mass, which can increase BMI value. It is necessary to take educational activities in the field of health promotion of these people, with a focus on nutrition prevention of metabolic civilization diseases, as well as to motivate Border Guards officers to respect basic principles of proper nutrition to maintain proper body mass and fat mass.

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