scholarly journals Assessment of Body Composition, Fat Mass, Fat-Free Mass and Percent of Body Fat among Rural School Children of Northeastern India

2020 ◽  
Vol 44 (1) ◽  
pp. 37-42
Author(s):  
Dali Dutta ◽  
Sarthak Sengupta
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Epidemiological Studies ◽  
Cross Sectional Study ◽  
Northeast India ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Mean Values ◽  
Mean Differences

Recently recognized important indicators of body composition are fat mass (FM), fat-free mass (FFM) and percent body fat (PBF). The aim of this cross-sectional study is to determine body composition of the pre-adolescent children by using FM, FFM, and PBF. This study was performed using data from 584 children (281 boys and 303 girls) aged 6–10 years of Ahom descent from upper Assam state, Northeast India. Four anthropometric measurements i.e. height, weight, skinfold at triceps (TSF) and sub-scapular (SSF) were taken to calculate FM, FFM, FMI, FFMI, PBF, PBF for age (PBFZ), body mass index(BMI). Age-specific mean values of FM ranged from 2.12–4.00 kg (boys) and 2.16–4.40 kg (girls) and the agespecific mean values of FFM ranged from 14.45–23.93 kg (boys) and 14.01–23.03 kg (girls). The highest PBF value was observed at the age of 6 years for both groups of the children while the lowest value was observed at the age of 10 years and 9 years for boys and girls respectively. Sex-specific mean differences between sexes were statistically significant in SSF, PBF, FM, and FMI. For future investigations in clinical and epidemiological studies, these results are very important as they can be used to identify the risk of lower or higher adiposity and body composition using PBF, FM, and FFM.

scholarly journals Percent of body fat, fat-mass, fat-free mass and assessment of body composition among rural school-going children of Eastern-India

2018 ◽  
Vol 81 (2) ◽  
pp. 158-173
Author(s):  
Sampriti Debnath ◽  
Nitish Mondal ◽  
Jaydip Sen
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Sampling Method ◽  
West Bengal ◽  
Fat Free Mass ◽  
Eastern India ◽  
Mean Values ◽  
Standard Procedures ◽  
Mean Differences

Abstract Percent of body fat (PBF), fat mass (FM) and fat free mass (FFM) are useful indicators for the assessment of body composition. The present study was conducted among 1351 children (boys: 660; girls: 691) aged 5-12 years residing in West Bengal, Eastern-India. The children were selected using a stratified random sampling method. Anthropometric measurements of height, weight, triceps skinfold (TSF) and sub-scapular skinfold (SSF) were recorded using standard procedures. The PBF, PBF-for-age z-score (PBFZ) and body mass index (BMI) were subsequently calculated. Body composition was assessed using FM, FFM, fat mass index (FMI) and fat free mass index (FFMI). Age-specific mean values of FM ranged from 2.12-4.00 kg (boys) and 2.16-4.40 kg (girls). Age-specific mean values of FFM ranged from 14.45-23.93 kg (boys) and 14.01-23.03 kg (girls). Sex-specific mean differences between sexes were statistically significant in weight, height, TSF, SSF, PBF, PBFAZ, FM, FFM, FMI and FFMI (p<0.05), except in BMI (p>0.05). These results are important for future investigations in clinical and epidemiological settings so as to accurately identify the risk of lower or higher adiposity and body composition using PBF, FM and FFM.

scholarly journals An anthropometry-based equation of fat mass percentage as a valid discriminator of obesity

2019 ◽  
pp. 1-9
Author(s):  
Lilia V Castro-Porras ◽  
Mario E Rojas-Russell ◽  
Javier Villanueva-Sánchez ◽  
Malaquías López-Cervantes
Keyword(s):  
Fat Mass ◽  
Epidemiological Studies ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Measurement Instruments ◽  
Mass Percentage ◽  
Cross Sectional ◽  
Air Displacement Plethysmography ◽  
Life Measurement ◽  
The Difference

AbstractObjectiveTo develop a new predictive equation for fat mass percentage (%FM) based on anthropometric measurements and to assess its ability to discriminate between obese and non-obese individuals.DesignCross-sectional study.SettingMexican adults.ParticipantsAdults (n 275; 181 women) aged 20–63 years with BMI between 17·4 and 42·4 kg/m2.ResultsThirty-seven per cent of our sample was obese using %FM measured by air-displacement plethysmography (BOD POD®; Life Measurement Instruments). The fat mass was computed from the difference between weight and fat-free mass (FFM). FFM was estimated using an equation obtained previously in the study from weight, height and sex of the individuals. The %FM estimated from the obtained FFM showed a sensitivity of 90·3 (95 % CI 86·8, 93·8) % and a specificity of 58·0 (95 % CI 52·1, 63·8) % in the diagnosis of obesity. Ninety-three per cent of participants with obesity and 65 % of participants without obesity were correctly classified.ConclusionsThe anthropometry-based equation obtained in the present study could be used as a screening tool in clinical and epidemiological studies not only to estimate the %FM, but also to discriminate the obese condition in populations with similar characteristics to the participant sample.

scholarly journals POS0570 ASSOCIATION OF BODY FAT MASS AND ITS DISTRIBUTION WITH DISEASE ACTIVITY, PAIN AND DISABILITY IN RHEUMATOID ARTHRITIS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 519.2-520
Author(s):  
O. Lamkhanat ◽  
H. Azzouzi ◽  
I. Linda
Keyword(s):  
Rheumatoid Arthritis ◽  
Body Composition ◽  
Disease Activity ◽  
Body Fat ◽  
Fat Mass ◽  
Health Assessment ◽  
Cross Sectional Study ◽  
Body Fat Mass ◽  
Obese Patients ◽  
Cross Sectional

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

scholarly journals The Role of Physical Fitness in the Relationship between Nut Consumption and Body Composition in Young Adults

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 2126
Author(s):  
Miriam Garrido-Miguel ◽  
Vicente Martínez-Vizcaíno ◽  
Rubén Fernández-Rodríguez ◽  
Isabel Antonia Martínez-Ortega ◽  
Luis Enrique Hernández-Castillejo ◽  
...  
Keyword(s):  
Young Adults ◽  
Body Composition ◽  
Physical Fitness ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Fitness Components ◽  
Cross Sectional ◽  
Mean Differences ◽  
Relationship Of ◽  
The Relationship

The main objective of this study was to estimate the association between nut consumption and body composition-related measures and to examine whether this relationship is mediated by cardiorespiratory fitness (CRF) and the muscle strength index (MSI) in young adults. A cross-sectional study involving college students (n = 354) aged 18–30 years from a Spanish public university was conducted. Body composition and fitness components were assessed using standard methods. Nut consumption was evaluated using a Food-Frequency Questionnaire. ANCOVA models were used to assess the mean differences in physical fitness and body composition by nut consumption categories. Hayes’s PROCESS macro was applied for mediation and interaction analyses adjusted for the main confounders. Young adults with high nut consumption (≥5 portions of 30 g/week) showed significantly higher values of physical fitness components and fat-free mass and lower values of adiposity-related measures than their peers in the lowest categories of nut consumption (˂1 portion/week) (p < 0.05). No significant interaction between CRF and nut consumption on body composition was found. In the mediation analysis, CRF and MSI acted as full mediators of the relationship of nut consumption with fat-free mass and waist circumference/height index. Otherwise, CRF and MSI partially mediated the relationship between nut consumption and body mass index and percent of fat mass. Finally, nut consumption, per se, does not appear to have a significant impact on body composition indicators because these associations have been shown to be partially (for BMI and %BF) or entirely (for ratio WC/height and fat-free mass) explained by CRF and MSI.

DETERMINANTS OF THYROID VOLUME IN SCHOOLCHILDREN: FAT-FREE MASS VERSUS BODY FAT MASS-- A CROSS-SECTIONAL STUDY

2004 ◽  
Vol 10 (5) ◽  
pp. 409-416 ◽  
Author(s):  
Mihail A. Boyanov ◽  
Natalya L. Temelkova ◽  
Plamen P. Popivanov
Keyword(s):  
Body Fat ◽  
Fat Mass ◽  
Thyroid Volume ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Sectional Study ◽  
Cross Sectional

scholarly journals AGE VARIATIONS AND SEXUAL DIMORPHISM IN ADIPOSITY AND BODY COMPOSITION AMONG TRIBAL ADOLESCENTS OF KHARAGPUR, WEST BENGAL, INDIA

2021 ◽  
Vol 1 (11) ◽  
pp. 65-77
Author(s):  
Gopal Chandra MANDAL ◽  
Saheli BISWAS ◽  
Pijush Kanti ROY ◽  
Kaushik BOSE
Keyword(s):  
Body Composition ◽  
Sexual Dimorphism ◽  
Body Mass ◽  
Fat Mass ◽  
West Bengal ◽  
The Body ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Mean Values ◽  
Age Variations

Objectives. Although tribals constitute around 8.6% of the total population of India, detailed information on their body composition is scanty. Thus, our objective was to evaluate age variations and sexual dimorphism in adiposity and body composition among rural tribal adolescents of Kharagpur, West Bengal, India. Material and methods. This cross-sectional study was conducted among 788 tribal adolescent boys and girls, aged 10-17 years of Kharagpur, West Midnapore, West Bengal, India. Height (kg), weight (cm) and skinfolds were measured following standard method. The Body Mass Index (BMI) was derived. Body composition measures including Percent Body Fat (PBF), Fat Mass (FM), Fat Free Mass (FFM), Fat Mass Index (FMI) and Fat Free mass Index (FFMI) were computed using standard equations. Results. All the variables showed a significant age trend in both sexes. Age-combined significant sex differences existed in mean BMI and all body composition measures. Girls had significantly higher mean values of fat measures (PBF, FM and FMI) whereas boys had significantly higher mean values of non-fat measures (FFM and FFMI). In both sexes, age had significant correlations with BMI and the five body composition measures. Similarly, all body composition indicators were significantly correlated with BMI in both sexes. Conclusions. There were significant age and sex variations in body composition measures. Girls had significantly more fat mass whereas boys had more lean body mass. All body composition measures increased significantly with increasing age as well as BMI. Attainment of puberty could be a mediating factor causing these age variations and sexual dimorphism. Keywords: India, tribal adolescents, age variations, sexual dimorphism, body composition.

Influence of Calcium and Vitamin D Intakes on Body Composition in Children and Adolescents

2018 ◽  
Vol 29 (4) ◽  
pp. 243-248 ◽  
Author(s):  
María Correa-Rodríguez ◽  
Jacqueline Schmidt-RioValle ◽  
Robinson Ramírez-Vélez ◽  
Jorge Enrique Correa-Bautista ◽  
Emilio González-Jiménez ◽  
...  
Keyword(s):  
Vitamin D ◽  
Body Composition ◽  
Children And Adolescents ◽  
Fat Mass ◽  
Linear Regression Analysis ◽  
Dietary Calcium ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Cross Sectional ◽  
Composition Measurements

Identifying nutritional strategies to maintain a healthy body weight and reduce the comorbidities associated with obesity is extremely important. We aimed to investigate whether calcium and vitamin D intakes are associated with body composition measurements in a population of children and adolescents. A cross-sectional study was conducted involving 1,060 children and adolescents (65.8% females; 34.2% males) aged 9 to 19 years. Fat mass, percentage of fat mass, and fat-free mass were measured using a body composition analyzer (TANITA BC-418MA®). The mean dietary calcium and vitamin intakes were 829.66 ± 328.34 mg/day and 200.78 ± 400.91 IU/day. Linear regression analysis revealed a lack of significant association between daily calcium and vitamin D intakes and body composition measurements, after adjusting the model for age, sex, maturation status, and energy intake. Dietary calcium and vitamin D intakes do not appear to be associated with higher adiposity measurements in children and adolescents.

Fat Mass Is Associated with Foot Pain in Men: The Geelong Osteoporosis Study

2015 ◽  
Vol 43 (1) ◽  
pp. 138-143 ◽  
Author(s):  
Paul A. Butterworth ◽  
Hylton B. Menz ◽  
Donna M. Urquhart ◽  
Flavia M. Cicuttini ◽  
Karl B. Landorf ◽  
...  
Keyword(s):  
Risk Factors ◽  
Body Composition ◽  
Fat Mass ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Foot Pain ◽  
Cross Sectional ◽  
Geelong Osteoporosis Study ◽  
Lower Education ◽  
The Relationship

Objective.Foot pain is a common complaint in adults. Evidence suggests that body composition is involved in the development of foot pain. However, whether this is the case in men remains unclear because previous studies mainly examined women. The aim of this cross-sectional study was to determine the relationship between body composition and foot pain in men while accounting for important risk factors.Methods.Among 978 men (median age 60 yrs, range 24–98) from the Geelong Osteoporosis Study who participated in a followup study in 2006 to 2011, 796 provided responses to questions on health status and foot pain. Foot pain was determined using the Manchester Foot Pain and Disability Index, and body composition was measured using dual-energy x-ray absorptiometry.Results.Of the 796 respondents, 177 (22%) had foot pain. Risk factors for foot pain were age (OR 1.03, 95% CI 1.02–1.04), self-reported depression (OR 2.05, 95% CI 1.30–3.20), decreased mobility (OR 1.54, 95% CI 1.05–2.24), and lower education (OR 1.47, 95% CI 1.03–2.09). Foot pain was associated with body mass index (OR 1.05, 95% CI 1.00–1.10), fat mass (OR 1.02, 95% CI 1.03–1.05), and fat mass index (OR 1.08, 95% CI 1.01–1.15), but not fat-free mass (OR 1.01, 95% CI 0.98–1.04) or fat-free mass index (OR 1.05, 95% CI 0.95–1.15) after appropriate adjustments were made.Conclusion.Fat mass is associated with foot pain in men. These findings complement those in studies that have mainly examined women, and provide further evidence for the relationship between obesity and foot pain.

scholarly journals Age-related Variations in Anthropometry, Body Composition and Nutritional Status among the Adult Kheria Sabar Males of Purulia, West Bengal, India

2020 ◽  
Vol 44 (2) ◽  
pp. 73-80
Author(s):  
Kaustav Das ◽  
Subrata Bagchi ◽  
Somosree Pal ◽  
Sayak Ganguli ◽  
Koel Mukherjee
Keyword(s):  
Body Composition ◽  
Fat Mass ◽  
West Bengal ◽  
Age Groups ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Fat Free Mass ◽  
Adult Males ◽  
Cross Sectional ◽  
Age Related

Undernutrition and ageing may have a significant effect on body composition. A cross sectional study was conducted to explore the age-related variations among different anthropometric and body composition characteristics amongst the adult Kheria Sabar males of Purulia district of West Bengal. From fifteen villages, 304 apparently healthy adult males aged 18–60 years were selected at random. Subjects were categorized into four age groups and standard anthropometric measurements were used like height (HT), weight (WT), mid-upper-arm circumference (MUAC) and skinfolds of biceps (BSF), triceps (TSF) and sub-scapular (SSSF) region. Derived variables of body mass index (BMI), per cent body fat (PBF), fat mass (FM), fat-free mass (FFM), fat mass index (FMI) and fat-free mass index (FFMI) were also calculated. Majority of the variables were found to be inversely correlated with age. Positive (HT, WT, MUAC, BMI, FFM and FFMI) and negative (FM and FMI) significant differences were observed across different age groups. It was also observed that the frequency of undernutrition (62.6%) was the highest among the elderly people with 47.6% overall prevalence. This study clearly indicates that among the undernourished individuals, older people were more vulnerable to malnutrition and thus immediate nutritional intervention is required.

Sign in / Sign up

Export Citation Format

Share Document