scholarly journals Hair Cortisol Concentration, Weight Loss Maintenance and Body Weight Variability: A Prospective Study Based on Data From the European NoHoW Trial

2021 ◽  
Vol 12 ◽  
Author(s):  
Sofus C. Larsen ◽  
Jake Turicchi ◽  
Gitte L. Christensen ◽  
Charlotte S. Larsen ◽  
Niklas R. Jørgensen ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Fat ◽  
Weight Loss Maintenance ◽  
Cortisol Concentration ◽  
Body Fat Percentage ◽  
Hair Cortisol ◽  
Fat Percentage ◽  
Clinical Trial Registration ◽  
Cross Sectional

Several cross-sectional studies have shown hair cortisol concentration to be associated with adiposity, but the relationship between hair cortisol concentration and longitudinal changes in measures of adiposity are largely unknown. We included 786 adults from the NoHoW trial, who had achieved a successful weight loss of ≥5% and had a body mass index of ≥25 kg/m2 prior to losing weight. Hair cortisol concentration (pg/mg hair) was measured at baseline and after 12 months. Body weight and body fat percentage were measured at baseline, 6-month, 12-month and 18-month visits. Participants weighed themselves at home ≥2 weekly using a Wi-Fi scale for the 18-month study duration, from which body weight variability was estimated using linear and non-linear approaches. Regression models were conducted to examine log hair cortisol concentration and change in log hair cortisol concentration as predictors of changes in body weight, change in body fat percentage and body weight variability. After adjustment for lifestyle and demographic factors, no associations between baseline log hair cortisol concentration and outcome measures were observed. Similar results were seen when analysing the association between 12-month concurrent development in log hair cortisol concentration and outcomes. However, an initial 12-month increase in log hair cortisol concentration was associated with a higher subsequent body weight variability between month 12 and 18, based on deviations from a nonlinear trend (β: 0.02% per unit increase in log hair cortisol concentration [95% CI: 0.00, 0.04]; P=0.016). Our data suggest that an association between hair cortisol concentration and subsequent change in body weight or body fat percentage is absent or marginal, but that an increase in hair cortisol concentration during a 12-month weight loss maintenance effort may predict a slightly higher subsequent 6-months body weight variability.Clinical Trial RegistrationISRCTN registry, identifier ISRCTN88405328.

Effects of weight loss using supplementation with Lactobacillus strains on body fat and medium-chain acylcarnitines in overweight individuals

2017 ◽  
Vol 8 (1) ◽  
pp. 250-261 ◽  
Author(s):  
Minkyung Kim ◽  
Minjoo Kim ◽  
Miso Kang ◽  
Hye Jin Yoo ◽  
Min Sun Kim ◽  
...  
Keyword(s):  
Weight Loss ◽  
Body Weight ◽  
Body Fat ◽  
Subcutaneous Fat ◽  
The Body ◽  
Body Fat Percentage ◽  
Body Fat Mass ◽  
Fat Percentage ◽  
Probiotic Supplementation ◽  
Percentage Body Fat

Probiotic supplementation increased the levels of C8:1, C14:1, C10, and C12:1 acylcarnitines, and these increases were correlated with a decrease in the body weight, body fat percentage, body fat mass and L1 subcutaneous fat area.

scholarly journals Keragaman Status Gizi dan Persentase Lemak Tubuh Mahasiswa Baru STIKes Baiturrahim

2021 ◽  
Vol 10 (2) ◽  
pp. 319
Author(s):  
Arnati Wulansari ◽  
Kasyani Kasyani
Keyword(s):  
Body Weight ◽  
Chronic Disease ◽  
Nutritional Status ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional

 The role of nutrition in the life cycle is very important. If there is a problem with malnutrition, this is a sign that you are at risk of suffering from chronic disease. Measurement of nutritional status and body fat percentage is important as an initial screening to prevent the risk of chronic disease. This study aims to describe the performance of the nutritional status and body fat percentage of new student STIKes Baiturrahim 2020. This study used a cross-sectional study. The research was conducted at STIKes Baiturrahim Jambi in September 2019. The number of respondents was 148 people. The data used are the characteristics of the respondents (age, sex, body weight, and height) and the percent of body fat obtained from measurement of Bioelectrical Impedance Analysis (BIA). The results showed that most of them had normal nutritional status (64,2%) and body fat percentage was classified as normal (41,9%). It is recommended that students maintain normal nutritional status and body fat percentage and also always monitoring the body weight to prevent chronic disease

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

2017 ◽  
Vol 14 (5) ◽  
pp. 389-407 ◽  
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.

scholarly journals Probiotics for the Treatment of Docetaxel-Related Weight Gain of Breast Cancer Patients—A Single-Center, Randomized, Double-Blind, and Placebo-Controlled Trial

2021 ◽  
Vol 8 ◽  
Author(s):  
Zhang Juan ◽  
Zhang Qing ◽  
Liang Yongping ◽  
Liyuan Qian ◽  
Wei Wu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Body Weight ◽  
Weight Gain ◽  
Cancer Treatment ◽  
Cancer Patients ◽  
Body Fat ◽  
Breast Cancer Treatment ◽  
Body Fat Percentage ◽  
Breast Cancer Patients ◽  
Fat Percentage

Background: Docetaxel is an important chemotherapy-agent for breast cancer treatment. One of its side-effects is weight gain, which increases the all-cause mortality rate. Considering gut microbiota is one important factor for weight regulation, we hypothesized that probiotics could be potentially used to reduce the docetaxel-related weight gain in breast cancer patients.Methods: From 10/8/2018 to 10/17/2019, 100 breast cancer (Stage I-III) patients underwent four cycles of docetaxel-based chemotherapy were enrolled and randomly assigned to receive probiotics (Bifidobacterium longum, Lactobacillus acidophilus, and Enterococcus faecalis) or placebo (supplementary material of the probiotics capsule) treatment for 84 days with three capsules per time, twice/day. The primary outcome: the changes in body weight and body-fat percentage of the patients were measured by a designated physician using a fat analyzer, and the secondary outcomes: the fasting insulin, plasma glucose, and lipids were directly obtained from the Hospital Information System (HIS); The metabolites were measured using liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS); The fecal microbiome was analyzed using bacterial 16S ribosomal RNA (rRNA) gene sequence. All indicators were measured 1 day before the first cycle of docetaxel-based chemotherapy and 21 days after the last cycle of docetaxel-based chemotherapy.Results: Compared with the placebo group, the probiotic group showed significantly smaller changes in body weight (Mean [SD] 0.77 [2.58] vs. 2.70 [3.08], P = 0.03), body-fat percentage (Mean [SD] 0.04 [1.14] vs. 3.86 [11.09], P = 0.02), and low density lipoprotein (LDL) (Mean [SD]−0.05[0.68] vs. 0.39 [0.58], P = 0.002). Moreover, five of the 340 detected plasma metabolites showed significant differences between the two groups. The change of biliverdin dihydrochloride (B = −0.724, P = 0.02) was inverse correlated with weight gain. One strain of the phylum and three strains of the genus were detected to be significantly different between the two groups. Also, the changes of Bacteroides (B = −0.917, P < 0.001) and Anaerostipes (B = −0.894, P < 0.001) were inverse correlated with the change of LDL.Conclusions: Probiotics supplement during docetaxel-based chemotherapy for breast cancer treatment may help to reduce the increase in body weight, body-fat percentage, plasma LDL, and minimize the metabolic changes and gut dysbacteriosis.Clinical Trial Registration:http://www.chictr.org.cn/showproj.aspx?proj=24294, ChiCTR-INQ-17014181.

scholarly journals Assessment of Age-Induced Changes in Body Fat Percentage and BMI Aided by Bayesian Modelling: A Cross-Sectional Cohort Study in Middle-Aged and Older Adults

2020 ◽  
Vol Volume 15 ◽  
pp. 2301-2311
Author(s):  
Pawel Macek ◽  
Malgorzata Terek-Derszniak ◽  
Malgorzata Biskup ◽  
Halina Krol ◽  
Jolanta Smok-Kalwat ◽  
...  
Keyword(s):  
Older Adults ◽  
Cohort Study ◽  
Body Fat ◽  
Body Fat Percentage ◽  
Bayesian Modelling ◽  
Middle Aged ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Induced Changes

scholarly journals Associations between folate intake, body composition, and liver status in healthy adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Monika Młodzik-Czyżewska ◽  
Anna Malinowska ◽  
Agata Chmurzynska
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Fatty Liver ◽  
Body Mass ◽  
Body Fat ◽  
Liver Steatosis ◽  
Folate Intake ◽  
Whole Body ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractA link has recently been underlined between one-carbon metabolism and body weight and body composition, suggesting that folate may account for body mass determination and lipid metabolism. The aim of this study was thus to analyze whether folate intake is associated with body weight, body mass index (BMI), body fat percentage, and liver status.409 subjects aged 20–40 were enrolled in Poznań, Poland from 2016 to 2018. Food intake was assessed using three-day food records. Folate intake was calculated based on food composition tables using the Diet 5.0 program (National Food and Nutrition Institute, Poland). Weight to 0.1 kg and height to 0.01 m were measured using an electronic scale and a stadiometer, respectively. BMI was calculated as body weight in kilograms divided by height in meters squared. Fat mass and lean body mass were determined using whole-body air-displacement plethysmography (BodPod, Cosmed, Italy). Genotyping of rs1801133 (MTHFR) was performed with TaqMan probes. The following biomarkers of liver steatosis were calculated: NAFLD liver fat score (NAFLD-LFS), fatty liver index (FLI), and hepatic steatosis index (HSI). To analyze the associations between folate intake and the measured parameters, we used multiple regression with adjustments for age, sex, and energy intake.The mean body weight was 78.57 ± 18.14 kg, BMI 25.96 ± 5.28 kg/m2, and fat percentage 29.20% ± 10.78%. The median folate intake was 299.3 μg/day. Dietary folate intake was negatively associated with body weight, BMI, and body fat percentage (p < 0.05 for all associations). Folate intake was also associated with fatty liver indices—namely HSI (p < 0.05) and FLI (p < 0.05). There was no association between folate intake and NAFLD-LFS. MTHFR rs1801133 polymorphism was not associated with any of the measured parameters.Our findings suggest that folate intake may affect body weight and composition, as well as liver status. Higher folate intake could have a protective effect against obesity, but further studies are necessary to investigate the mechanism.The authors declare that they have no conflict of interests.This work was supported by the Polish National Science Centre(grants 2014/15/B/NZ9/02134 and 2016/21/N/NZ9/01195).

Decreased Renal Function Induced by High-Fat Diet in Wistar Rat: The Role of Plasma Angiotensin Converting Enzyme 2 (ACE2)

2019 ◽  
Vol 12 (3) ◽  
pp. 1279-1287
Author(s):  
Ridwan Ridwan ◽  
Rosdiana Natzir ◽  
Haerani Rasyid ◽  
Ilhamjaya Patellongi ◽  
Mochammad Hatta ◽  
...  
Keyword(s):  
Renal Function ◽  
Body Weight ◽  
Body Fat ◽  
High Fat Diet ◽  
Early Stage ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Angiotensin Converting Enzyme 2 ◽  
Obesity Index

Researches on the effects of High Fat Diet (HFD) on decreased renal function with cystatin C (cysC) serum levels biomarker are few and show different findings. Renin Angiotensin System (RAS) plays a key role in controlling renal function and one of the integral components of the RAS is Angiotensin Converting Enzyme 2 (ACE2). Research on the relationship between plasma ACE2 levels with serum cysC levels in animals induced by HFD has not been done. We hypothesize that administration of HFD can cause a decline in early stage renal function through the role of ACE2. 30 male wistar rats aged 10-12 weeks (body weight between 170-220 grams) were randomly divided into 5 groups (6 rats/group): baseline, normal diet for 8 weeks (ND8), ND for 16 weeks (ND16), HFD for 8 weeks (HFD8) and HFD for 16 weeks (HFD16). Body weight and naso-anal length were measured to get the index value of obesity and body fat percentage. Obesity index measured are lee index, rohrer index and TM index. Blood samples obtained by intracardiac for examination of plasma ACE2 levels and serum cysC levels. After 8 and 16 weeks, HFD increases body weight, obesity index and body fat percentage. HFD also increases plasma ACE2 levels and serum cysC levels. Body weight, obesity index and body fat percentage have a positive correlation with plasma ACE2 levels. Plasma ACE2 levels were positively correlated with serum cysC levels. HFD causes a decrease of early stage renal function as evidenced by the increase in serum cysC levels. Plasma ACE2 levels play a role in the pathogenesis of the decline in early stage renal function induced by HFD.

Effects of Fed- Versus Fasted-State Aerobic Training During Ramadan on Body Composition and Some Metabolic Parameters in Physically Active Men

2012 ◽  
Vol 22 (1) ◽  
pp. 11-18 ◽  
Author(s):  
Khaled Trabelsi ◽  
Kais el Abed ◽  
Stephen R. Stannard ◽  
Kamel Jammoussi ◽  
Khaled M. Zeghal ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Aerobic Training ◽  
Metabolic Parameters ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Physically Active ◽  
Fed State ◽  
Fasted State

The aim of this study was to evaluate the effects of aerobic training in a fasted versus a fed state during Ramadan on body composition and metabolic parameters in physically active men. Nineteen men were allocated to 2 groups: 10 practicing aerobic training in a fasted state (FAST) and 9 training in an acutely fed state (FED) during Ramadan. All subjects visited the laboratory for a total of 4 sessions on the following occasions: 3 days before Ramadan (Bef-R), the 15th day of Ramadan; the 29th day of Ramadan (End-R), and 21 days after Ramadan. During each session, subjects underwent anthropometric measurement, completed a dietary questionnaire, and provided fasting blood and urine samples. Body weight decreased in FAST and FED by 1.9% (p < .001) and 2.6% (p = .046), respectively. Body fat percentage decreased only in FAST by 6.2% (p = .016). FAST experienced an increase in the following parameters from Bef-R to End-R: urine specific gravity (0.64%, p = .012), urea (8.7%, p < .001), creatinine (7.5%, p < .001), uric acid (12.7%, p < .001), sodium (1.9%, p = .003), chloride (2.6%, p < .001), and high-density lipoprotein cholesterol (27.3%, p < .001). Of these parameters, only creatinine increased (5.8%, p = .004) in FED. Creatinine clearance values of FAST decreased by 8.9% (p < .001) and by 7.6% in FED (p = .01) from Bef-R to End-R. The authors conclude that aerobic training in a fasted state lowers body weight and body fat percentage. In contrast, fed aerobic training decreases only body weight. In addition, Ramadan fasting induced change in some metabolic parameters in FAST, but these changes were absent in FED.

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

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