Optimal cutoff values of fat mass index, body fat percentage and visceral fat area for identifying metabolic syndrome in the Kurdish population: Results from an Iranian RaNCD cohort study

The aim of this study was to evaluate the associations of rotating night shift work with body fat percentage (BF%) and fat mass index (FMI). A cross-sectional study was conducted among 435 female steelworkers, aged 26–57 years in Tangshan, China. BF% was assessed via bioelectrical impedance analysis and FMI was calculated. Different exposure metrics of night shift work were used to examine the effects of night shift work on BF% and FMI. The duration (years), cumulative number (nights), and cumulative length of night shifts (hours) were positively correlated with FMI and BF%, and these relationships were independent of body mass index (BMI). Compared with day workers, night shift workers with an average frequency of night shifts >7 nights/month (odds ratio (OR) 2.50, 95% confidence interval (CI) 1.17 to 5.35) and percentage of hours on night shifts >30% (OR 2.55, 95% CI 1.21 to 5.39) had elevated odds of obesity (BF% ≥ 35.0%). Nonobese night shift workers by the BMI criterion should also be alert to the risk of the excess accumulation of body fat, which is actually responsible for most obesity-associated adverse health consequences. Health interventions for related populations need to be improved, which is currently more focused on overall weight control.

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Associations of Cognitive Function with BMI, Body Fat Mass and Visceral Fat in Young Adulthood

Medicina ◽

10.3390/medicina55060221 ◽

2019 ◽

Vol 55 (6) ◽

pp. 221

Author(s):

Tao Huang ◽

Zuosong Chen ◽

Liqun Shen ◽

Xiang Fan ◽

Kun Wang

Keyword(s):

Young Adults ◽

Cognitive Function ◽

Cognitive Control ◽

Body Fat ◽

Visceral Fat ◽

Body Fat Percentage ◽

Body Fat Mass ◽

Fat Percentage ◽

Visceral Fat Area ◽

Switch Costs

Background and objectives: Existing studies concerning the associations of cognitive function with adiposity in young adults are sparse. The purpose of the study was to examine the associations of adiposity with cognitive control in young adults. Materials and Methods: Participants were 213 young adults (98 women and 115 men). Cognitive control was measured using a modified task-switching paradigm. Anthropometrics were measured by standardized procedures. Body fat mass and visceral fat area were measured by bioelectrical impedance analysis. Results: The results showed that increased body mass index (BMI, p = 0.02), body fat percentage (p = 0.02), and visceral fat area (p = 0.01) were significantly correlated with larger global switch costs of accuracy in women. In men, high levels of body fat percentage (p = 0.01) and visceral fat area (p = 0.03) were significantly correlated with larger local switch costs of reaction time. Conclusions: The results indicated that elevated adiposity was associated with worse performance on measures of cognitive control in young adults.

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Comparison of the Effect of Soy protein and Whey protein on Body Composition: A Meta-Analysis of Randomized Clinical Trials

British Journal Of Nutrition ◽

10.1017/s0007114521001550 ◽

2021 ◽

pp. 1-27

Author(s):

Masoome Piri Damaghi ◽

Atieh Mirzababaei ◽

Sajjad Moradi ◽

Elnaz Daneshzad ◽

Atefeh Tavakoli ◽

...

Keyword(s):

Body Composition ◽

Whey Protein ◽

Lean Body Mass ◽

Body Mass ◽

Body Fat ◽

Fat Mass ◽

Soy Protein ◽

Protein Supplementation ◽

Body Fat Percentage ◽

Fat Percentage

Abstract Background: Essential amino acids (EAAs) promote the process of regulating muscle synthesis. Thus, whey protein that contains higher amounts of EAA can have a considerable effect on modifying muscle synthesis. However, there is insufficient evidence regarding the effect of soy and whey protein supplementation on body composition. Thus, we sought to perform a meta-analysis of published Randomized Clinical Trials that examined the effect of whey protein supplementation and soy protein supplementation on body composition (lean body mass, fat mass, body mass and body fat percentage) in adults. Methods: We searched PubMed, Scopus, and Google Scholar, up to August 2020, for all relevant published articles assessing soy protein supplementation and whey protein supplementation on body composition parameters. We included all Randomized Clinical Trials that investigated the effect of whey protein supplementation and soy protein supplementation on body composition in adults. Pooled means and standard deviations (SD) were calculated using random-effects models. Subgroup analysis was applied to discern possible sources of heterogeneity. Results: After excluding non-relevant articles, 10 studies, with 596 participants, remained in this study. We found a significant increase in lean body mass after whey protein supplementation weighted mean difference (WMD: 0.91; 95% CI: 0.15, 1.67. P= 0.019). Subgroup analysis, for whey protein, indicated that there was a significant increase in lean body mass in individuals concomitant to exercise (WMD: 1.24; 95% CI: 0.47, 2.00; P= 0.001). There was a significant increase in lean body mass in individuals who received 12 or less weeks of whey protein (WMD: 1.91; 95% CI: 1.18, 2.63; P<0.0001). We observed no significant change between whey protein supplementation and body mass, fat mass, and body fat percentage. We found no significant change between soy protein supplementation and lean body mass, body mass, fat mass, and body fat percentage. Subgroup analysis for soy protein indicated there was a significant increase in lean body mass in individuals who supplemented for 12 or less weeks with soy protein (WMD: 1.48; 95% CI: 1.07, 1.89; P< 0.0001). Conclusion: Whey protein supplementation significantly improved body composition via increases in lean body mass, without influencing fat mass, body mass, and body fat percentage.

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Characterization and prevalence of obesity among normal weight college students

International Journal of Adolescent Medicine and Health ◽

10.1515/ijamh-2020-0240 ◽

2020 ◽

Vol 0 (0) ◽

Author(s):

Kara C. Anderson ◽

Katie R. Hirsch ◽

Austin M. Peterjohn ◽

Malia N.M. Blue ◽

Alexis A. Pihoker ◽

...

Keyword(s):

College Students ◽

Body Fat ◽

Fat Mass ◽

Vigorous Physical Activity ◽

Normal Weight ◽

High Density ◽

High Density Lipoproteins ◽

Cardiometabolic Health ◽

Body Fat Percentage ◽

Fat Percentage

AbstractNormal weight obesity (NWO) describes individuals who have a normal weight body mass index (BMI), but have an unhealthy amount of body fat. Based on the life-long habits that develop during college, exploring NWO among a college-aged population may be essential in identifying and preventing obesity that develops in early adulthood. This study aimed to characterize NWO among young adults with normal weight BMI. 94 college students (Mean ± SD: Age: 19.6 ± 1.5 yrs; BMI: 21.9 ± 1.8 kg/m2) enrolled during the Fall semester (Aug-Oct) were assessed for body composition by dual energy X-ray absorptiometry to determine body fat percentage, fat mass, lean mass and trunk fat; lifestyle habits were characterized from validated questionnaires. Mean arterial pressure and metabolic biomarkers [total cholesterol, high density lipoproteins, non-high density lipoproteins, and glucose] were evaluated for cardiometabolic health. NWO was defined using data from the National Health and Nutrition Examination Survey (NHANES) for body fat percentage. Data was analyzed by group (NWO vs NWL) and sex. with independent t-tests to investigate continuous data, and chi-square test of independence for categorical data. Rates of NWO for the total sample were 13.8%. Males (n=30) had a higher rate of NWO (26.7%) compared to females (n=64; 7.8%). NWO individuals had higher fat mass (p=0.024), trunk fat (p<0.001), and larger waist to hip ratio (p<0.001) than normal weight lean. NWO also engaged in less vigorous physical activity (p=0.043). The occurrence of NWO among otherwise healthy college students is evident. Identification of these individuals may be an effective component for obesity prevention and treatment. Determining feasible methods to measure body fat in this population is essential, as BMI may mask obesity in a young adult population.

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The Influence of Age, Sex and Body Mass Index on the Effectiveness of Brisk Walking for Obesity Management in Adults: A Systematic Review and Meta-Analysis

Journal of Physical Activity and Health ◽

10.1123/jpah.2016-0064 ◽

2017 ◽

Vol 14 (5) ◽

pp. 389-407 ◽

Cited By ~ 5

Author(s):

Leon Mabire ◽

Ramakrishnan Mani ◽

Lizhou Liu ◽

Hilda Mulligan ◽

David Baxter

Keyword(s):

Body Mass Index ◽

Body Weight ◽

Waist Circumference ◽

Body Fat ◽

Fat Mass ◽

Fat Free Mass ◽

Body Fat Percentage ◽

Brisk Walking ◽

Obesity Management ◽

Fat Percentage

Background:Brisk walking is the most popular activity for obesity management for adults. We aimed to identify whether participant age, sex and body mass index (BMI) influenced the effectiveness of brisk walking.Methods:A search of 9 databases was conducted for randomized controlled trials (RCTs). Two investigators selected RCTs reporting on change in body weight, BMI, waist circumference, fat mass, fat-free mass, and body fat percentage following a brisk walking intervention in obese adults.Results:Of the 5072 studies screened, 22 met the eligibility criteria. The pooled mean differences were: weight loss, –2.13 kg; BMI, –0.96 kg/m2; waist circumference, –2.83 cm; fat mass, –2.59 kg; fat-free mass, 0.29 kg; and body fat percentage, –1.38%. Meta-regression of baseline BMI showed no effect on changes.Conclusions:Brisk walking can create a clinically significant reduction in body weight, BMI, waist circumference, and fat mass for obese men and women aged under 50 years. Obese women aged over 50 years can achieve modest losses, but gains in fat-free mass reduce overall change in body weight. Further research is required for men aged over 50 years and on the influence of BMI for all ages and sexes.

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Abstract P028: Increased Cardiometabolic Risk And Autonomic Function Alterations In Normal Weight Obesity

Circulation ◽

10.1161/circ.143.suppl_1.p028 ◽

2021 ◽

Vol 143 (Suppl_1) ◽

Author(s):

Alice P Duque ◽

Isadora M Barbosa ◽

Alessandra S Lins ◽

Fernando G de Jesus ◽

Christiane F Araújo ◽

...

Keyword(s):

Body Fat ◽

Cardiometabolic Risk ◽

Autonomic Function ◽

Normal Weight ◽

Atherogenic Index ◽

Body Fat Percentage ◽

Fat Percentage ◽

Double Product ◽

Visceral Fat Area ◽

High Body

Introduction: Normal weight obesity (NWO) is defined by the presence of normal body mass index (BMI) with high body fat percentage. In this setting, high body fat seems to affect even non-obese individuals, predicting cardiovascular risk. Hypothesis: High body fat percentage, in eutrophic individuals, affects anthropometry, hemodynamic, autonomic function and cardiometabolic risk. Methods: This cross-sectional study recruited workers of a public hospital from 2018 to 2020. Inclusion criteria: age ≥ 18 yr.; BMI: 18.5 to 24.9 Kg/m 2 . Exclusion criteria: pregnancy/lactating women; BMI < 18.5 Kg/m 2 or ≥ 25 Kg/m 2 . High body fat percentage was categorized, by sex and age, as: 20 to 39 years, >19.9% and >32.9%; 40 to 59 years, >21.9% and >33.9%; and 60 to 79 years, >24.9% and >35.9% for men and women, respectively. Blood assays: fasting glucose, lipid profile and C reactive protein; anthropometry: neck, waist and hip circumferences; bioimpedance: visceral fat area and body fat percentage; hemodynamic parameters: blood pressure and double product; autonomic function: orthostatic test (30:15 ratio), orthostatic hypotension test and heart rate variability (HRV): high and low frequency and sympathovagal index; cardiometabolic risk: body shape index, atherogenic dyslipidemia, atherogenic index, atherogenic index of plasma and Framingham score. Statistical analysis: Mann-Whitney and chi-squared test. P<0.05. Ethics: according to Helsinki declaration, revised in 2013. Results: A total of 52 from 241 volunteers were eutrophic: 23 were NWO, that exhibited higher visceral fat area, anthropometric measures, blood pressure and double product; and worse lipid profile, HRV frequency domain and cardiometabolic risk parameters compared to the 29 with normal body fat percentage (table 1) . Conclusions: NWO individuals have metabolic, hemodynamic, anthropometric and autonomic alterations that, associated with new indexes related to atherogenesis, confirm the early cardiometabolic risk of this profile.

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The relationship between thyroid hormone and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus in China: A cross-sectional study

10.21203/rs.2.24853/v1 ◽

2020 ◽

Author(s):

Xia Sun ◽

Liping Chen ◽

Rongzhen Wu ◽

Dan Zhang ◽

Yinhui He

Keyword(s):

Body Fat ◽

Visceral Fat ◽

Fat Content ◽

Body Fat Percentage ◽

Fat Percentage ◽

Body Fat Content ◽

Male Patients ◽

The Relationship ◽

Visceral Fat Content

Abstract Background: This study compared the relationship between thyroid hormones and lipid metabolism/body fat content in euthyroid male patients with type 2 diabetes mellitus (T2DM) in China. Methods: A total of 64 male patients who were diagnosed as T2DM and 64 non-diabetic males who underwent health examination were matched according to age at a 1:1 ratio. Results: The 32 subjects in each sub-group showed differences in age, body mass index (BMI), mean arterial pressure, waist circumference, visceral fat content, body fat percentage, HbA1c, HOMA-IR, FT3, TSH, HDL-c, adiponectin, leptin, visfatin and TNF-α (all P < 0.05). In the overall population, FT3 was positively correlated with body fat percentage (r=0.21, P=0.02), and negatively correlated with HOMA-IR (r=-0.18, P=0.04) and visfatin (r=-0.47, P <0.01); TSH was positively correlated with body fat percentage (r=0.23, P=0.01). In the T2DM-OB group FT3 was positively correlated with BMI (r=0.45, P <0.05), visceral fat content (r=0.50, P <0.05), and body fat percentage (r=0.44, P <0.05); FT4 was positively correlated with visceral fat content (r=0.38, P <0.05); and TSH was positively correlated with HOMA-IR (r=0.39, P <0.05). Conclusion: TSH increased in obese people and FT3 was lower in patients with T2DM.

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