scholarly journals Associations of increased physical performance and change in body composition with molecular pathways of heart disease and diabetes risk

2019 ◽  
Vol 316 (2) ◽  
pp. E221-E229 ◽  
Author(s):  
Johannes Kettunen ◽  
Anni Joensuu ◽  
Maria Hagnäs ◽  
Ilona Mikkola ◽  
Annika Wennerström ◽  
...  
Keyword(s):  
Body Composition ◽  
Physical Performance ◽  
Body Fat ◽  
Military Service ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Population Based ◽  
Muscle Performance ◽  
Body Fat Percentage ◽  
Fat Percentage

Higher physical activity is associated with a reduced hazard for a plethora of diseases. It has remained unknown how the two primary physical activity-associated health effects, improved physical performance and change in body composition, independently modulate metabolic profiles toward a reduced risk for adverse outcomes. Here, we utilized a prospective cohort of 664 young men undergoing military service. We studied the metabolic associations of changes in muscle performance and body composition during military service (range 6–12 mo). We subsequently replicated our results for body composition change in 234 population-based samples with a 7-yr follow-up. We found that increased physical performance was associated with reduced very-low-density lipoprotein (VLDL)-related measures [change in VLDL cholesterol: beta = −0.135; 95% confidence interval (CI) = −0.217, −0.054, P = 1.2 × 10−3] and lower inflammation (change in glycoprotein acetyls: beta = −0.138, 95% CI = −0.217, −0.059, P = 6.5 × 10−4), independent of change in body composition. Lower body fat percentage, independent of change in muscle performance, was associated with metabolic changes including lower low-density lipoprotein (LDL) cholesterol measures (change in LDL cholesterol: beta = −0.193, 95% CI = −0.295, −0.090; P = 2.5 × 10−4), increased high-density lipoprotein (HDL) cholesterol measures (change in large HDL cholesterol: beta = 0.316, 95% CI = 0.205, 0.427; P = 3.7 × 10−8), and decreased concentrations of amino acids (change in leucine concentration: beta = −0.236, 95% CI = −0.341, −0.132; P = 1.0 × 10−5) that are type 2 diabetes biomarkers. Importantly, all body fat percentage associations were replicated in a general population-based cohort. Our findings indicate that improved muscle performance showed weaker associations on the metabolic profiles than change in body composition and reduction in body fat percentage reduces cardiometabolic risk mediated by atherogenic lipoprotein particles and branched-chain and aromatic amino acid concentrations.

scholarly journals Associations between choline intake, body composition, lipid profile, and liver status in healthy adults

2020 ◽  
Vol 79 (OCE2) ◽  
Author(s):  
Monika Młodzik-Czyżewska ◽  
Anna Malinowska ◽  
Agata Chmurzyńska
Keyword(s):  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Ldl Cholesterol ◽  
Liver Steatosis ◽  
Hdl Cholesterol ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Mean ◽  
Choline Intake

AbstractCholine is an essential nutrient involved in several processes, including the export of lipids from the liver. Recent studies have underlined that low choline intake may be linked to greater body weight and liver dysfunction. The aim of this study was thus to determine whether choline intake is associated with body weight, body mass index (BMI), body composition, lipid profile, or liver steatosis indices.407 healthy subjects aged 20–40 were enrolled in Poznań, Poland from 2016 to 2018. Food intake was assessed using three-day food records. Choline intake was analyzed using the USDA Database for the Choline Content of Common Foods, which summarizes the levels of choline found in a range of food items. 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. Waist and hip circumferences were measured to 0.5 cm using nonelastic tape. Total cholesterol, LDL cholesterol, HDL cholesterol, and triglyceride levels in serum were determined using a biochemical analyzer. 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 associations between choline intake and these parameters, we used multiple regression with adjustments for age, sex, and energy intake.The mean BMI was 25.9 ± 5.28 kg/m2, the mean body weight was 78.39 ± 18.03 kg, the mean body fat percentage was 29.1 ± 10.79%, and the mean choline intake was 447.93 ± 235 mg/day. Choline intake was negatively associated with body weight, body fat percentage, waist circumference, and FLI index (p < 0.05 for all associations) and positively associated with HDL cholesterol (p < 0.05). There were no associations between choline intake and BMI, hip circumference, total cholesterol, LDL cholesterol, and the following fatty liver indexes: HSI and NAFLD-LFS.Our study suggests that higher choline intake is associated with favorable body composition and may have a protective role on liver status. However, additional studies are needed to understand the effect of choline on these parameters.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).

The Relationship Between Intensity of Physical Activity and HDL Cholesterol in 272 Women

2005 ◽  
Vol 2 (3) ◽  
pp. 333-344 ◽  
Author(s):  
James D. LeCheminant ◽  
Larry A. Tucker ◽  
Bruce W. Bailey ◽  
Travis Peterson
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Low Density Lipoprotein ◽  
Strong Association ◽  
Density Lipoprotein ◽  
Hdl Cholesterol ◽  
Lipoprotein Cholesterol ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Measured Intensity

Purpose:To determine objectively measured intensity of physical activity (iPA) and its relationship to high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and the LDL/HDL ratio in women.Methods:Two hundred seventy-two women (40.1 y) wore CSA-MTI model 7164 accelerometers to index intensity and volume of physical activity for 7 d. Blood lipids were measured at a certified laboratory.Results:HDL-C was 52.1 ± 10.1, 52.2 ± 9.7, and 56.1 ± 11.1 mg/dL for the low, medium, and high intensity groups (P = 0.040), LDL-C differences were not significant (P = 0.23). LDL/HDL differences were observed (P = 0.030) with specific differences between the low and high iPA groups (P = 0.006). For HDL-C and LDL/HDL, significant relationships remained with control of dietary fat and age but not body fat percentage or volume of activity.Conclusions:High iPA had higher HDL-C levels and lower LDL/HDL ratios than low and medium iPA. The iPA was predictive of HDL-C partly due to its strong association with volume of activity and body fat percentage.

scholarly journals The development and validation of new equations for estimating body fat percentage among Chinese men and women

2015 ◽  
Vol 113 (9) ◽  
pp. 1365-1372 ◽  
Author(s):  
Xin Liu ◽  
Qi Sun ◽  
Liang Sun ◽  
Geng Zong ◽  
Ling Lu ◽  
...  
Keyword(s):  
Body Fat ◽  
Hdl Cholesterol ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Men And Women ◽  
Chinese Men ◽  
Incident Type ◽  
Reactive Protein ◽  
Independent Population

Equations based on simple anthropometric measurements to predict body fat percentage (BF%) are lacking in Chinese population with increasing prevalence of obesity and related abnormalities. We aimed to develop and validate BF% equations in two independent population-based samples of Chinese men and women. The equations were developed among 960 Chinese Hans living in Shanghai (age 46·2 (sd 5·3) years; 36·7 % male) using a stepwise linear regression and were subsequently validated in 1150 Shanghai residents (58·7 (sd 6·0) years; 41·7 % male; 99 % Chinese Hans, 1 % Chinese minorities). The associations of equation-derived BF% with changes of 6-year cardiometabolic outcomes and incident type 2 diabetes (T2D) were evaluated in a sub-cohort of 780 Chinese, compared with BF% measured by dual-energy X-ray absorptiometry (DXA; BF%-DXA). Sex-specific equations were established with age, BMI and waist circumference as independent variables. The BF% calculated using new sex-specific equations (BF%-CSS) were in reasonable agreement with BF%-DXA (mean difference: 0·08 (2 sd 6·64) %, P= 0·606 in men; 0·45 (2 sd 6·88) %, P< 0·001 in women). In multivariate-adjusted models, the BF%-CSS and BF%-DXA showed comparable associations with 6-year changes in TAG, HDL-cholesterol, diastolic blood pressure, C-reactive protein and uric acid (P for comparisons ≥ 0·05). Meanwhile, the BF%-CSS and BF%-DXA had comparable areas under the receiver operating characteristic curves for associations with incident T2D (men P= 0·327; women P= 0·159). The BF% equations might be used as surrogates for DXA to estimate BF% among adult Chinese. More studies are needed to evaluate the application of our equations in different populations.

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

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.

scholarly journals Trends in obesity and adiposity measures by race or ethnicity among adults in the United States 2011-18: population based study

BMJ ◽  
2021 ◽  
pp. n365
Author(s):  
Buyun Liu ◽  
Yang Du ◽  
Yuxiao Wu ◽  
Linda G Snetselaar ◽  
Robert B Wallace ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Ethnic Groups ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
The United States ◽  
Population Based ◽  
Body Fat Percentage ◽  
Fat Percentage

AbstractObjectiveTo examine the trends in obesity and adiposity measures, including body mass index, waist circumference, body fat percentage, and lean mass, by race or ethnicity among adults in the United States from 2011 to 2018.DesignPopulation based study.SettingNational Health and Nutrition Examination Survey (NHANES), 2011-18.ParticipantsA nationally representative sample of US adults aged 20 years or older.Main outcome measuresWeight, height, and waist circumference among adults aged 20 years or older were measured by trained technicians using standardized protocols. Obesity was defined as body mass index of 30 or higher for non-Asians and 27.5 or higher for Asians. Abdominal obesity was defined as a waist circumference of 102 cm or larger for men and 88 cm or larger for women. Body fat percentage and lean mass were measured among adults aged 20-59 years by using dual energy x ray absorptiometry.ResultsThis study included 21 399 adults from NHANES 2011-18. Body mass index was measured for 21 093 adults, waist circumference for 20 080 adults, and body fat percentage for 10 864 adults. For the overall population, age adjusted prevalence of general obesity increased from 35.4% (95% confidence interval 32.5% to 38.3%) in 2011-12 to 43.4% (39.8% to 47.0%) in 2017-18 (P for trend<0.001), and age adjusted prevalence of abdominal obesity increased from 54.5% (51.2% to 57.8%) in 2011-12 to 59.1% (55.6% to 62.7%) in 2017-18 (P for trend=0.02). Age adjusted mean body mass index increased from 28.7 (28.2 to 29.1) in 2011-12 to 29.8 (29.2 to 30.4) in 2017-18 (P for trend=0.001), and age adjusted mean waist circumference increased from 98.4 cm (97.4 to 99.5 cm) in 2011-12 to 100.5 cm (98.9 to 102.1 cm) in 2017-18 (P for trend=0.01). Significant increases were observed in body mass index and waist circumference among the Hispanic, non-Hispanic white, and non-Hispanic Asian groups (all P for trend<0.05), but not for the non-Hispanic black group. For body fat percentage, a significant increase was observed among non-Hispanic Asians (30.6%, 29.8% to 31.4% in 2011-12; 32.7%, 32.0% to 33.4% in 2017-18; P for trend=0.001), but not among other racial or ethnic groups. The age adjusted mean lean mass decreased in the non-Hispanic black group and increased in the non-Hispanic Asian group, but no statistically significant changes were found in other racial or ethnic groups.ConclusionsAmong US adults, an increasing trend was found in obesity and adiposity measures from 2011 to 2018, although disparities exist among racial or ethnic groups.

Body Mass and Body Composition Changes over 7 Years in a Male Professional Rugby Union Team

2021 ◽  
Author(s):  
Clíodhna McHugh ◽  
Karen Hind ◽  
Aoife O'Halloran ◽  
Daniel Davey ◽  
Gareth Farrell ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Lean Mass ◽  
Total Mass ◽  
Rugby Union ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Dxa Scans ◽  
Composition Changes

AbstractThe purpose of this study was to investigate longitudinal body mass and body composition changes in one professional rugby union team (n=123), (i) according to position [forwards (n=58) versus backs (n=65)], analysis of players with 6 consecutive seasons of DXA scans (n=21) and, (iii) to examine differences by playing status [academy and international], over 7 years. Players [mean age: 26.8 y, body mass index: 28.9+kg.m2] received DXA scans at fourtime points within each year. A modest (but non-significant) increase in mean total mass (0.8 kg) for professional players was reflected by increased lean mass and reduced body fat mass. At all-time points, forwards had a significantly greater total mass, lean mass and body fat percentage compared to backs (p<0.05). Academy players demonstrated increased total and lean mass and decreased body fat percentage over the first 3 years of senior rugby, although this was not significant. Senior and academy international players had greater lean mass and lower body fat percentage (p<0.05) than non-international counterparts. Despite modest increases in total mass; reflected by increased lean mass and reduced fat mass, no significant changes in body mass or body composition, irrespective of playing position were apparent over 7 years.

scholarly journals Whole-Food Plant-Based Lifestyle Program and Decreased Obesity: A 10-Year Follow-up

2019 ◽  
Author(s):  
Boštjan Jakše ◽  
Barbara Jakše ◽  
Stanislav Pinter ◽  
Jernej Pajek ◽  
Nataša Fidler Mis
Keyword(s):  
Body Composition ◽  
Body Mass ◽  
Body Fat ◽  
Food Plant ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Total Body Mass ◽  
Lifestyle Program ◽  
Composition Changes

Failure of various weight-loss programs and long-term maintenance of favorable body composition in all kinds of people is high, since the majority go back to old dietary patterns. Many studies have documented the efficacy of a plant-based diet (PBD) for body mass management, but there are opinions that maintaining a PBD is difficult. We aimed to evaluate the long-term success of a whole-food plant-based (WFPB) lifestyle program. We investigated the differences in the obesity indices and lifestyle of 151 adults (39.6 &plusmn; SD 12.5 years), who were on our program for short (0.5&ndash;&lt;2 years), medium (2&ndash;&lt;5 years), or long term (5&ndash;10 years). Body-composition changes were favourable for all three groups, both genders and all participants. There were no differences in relative body-composition changes (BMI, body fat percentage and muscle mass index (MMI)) between the three groups. All participants improved their BMI (baseline mean pre-obesity BMI range (kg/m2): 26.4 &plusmn; 5.6 to normal 23.9 &plusmn; 3.8, p &lt; 0.001), decreased body mass (&ndash;7.1 &plusmn; 8.3 kg, p &lt; 0.001) and body fat percentage (&ndash;6.4 &plusmn; 5.6 % points, p &lt; 0.001). 85.6% (101 out of 118) of parents of underage children (&lt; 18 years), introduced WFPB lifestyle to their children. Those with the highest BMI at baseline lost the most of: a) BMI units, b) total body mass and c) body fat (a) (kg/m2) (&ndash;5.6 &plusmn; SD 2.9, &ndash;2.4 &plusmn; 1.8 and &ndash;0.9 &plusmn; 1.5), b) (kg) (&ndash;16.1 &plusmn; SD 8.8, &ndash;7.1 &plusmn; 5.4 and &ndash;2.5 &plusmn; 4.5) and c) (% points) (&ndash;9.5 &plusmn; SD 5.7, &ndash;6.6 &plusmn; 4.6 and &ndash;4.7 &plusmn; 5.3) for participants who had baseline BMI in obese, overweight and normal range, respectively; pbaseline vs. current &lt; 0.001 for all). WFPB lifestyle program provides long-term lifestyle changes for reversal of obesity and is effective transferred to the next generation.

scholarly journals Body Composition of Children in the Pre-pubertal and Early-pubertal Period: Are There Some Age-related and Intersexual Differences?

GYMNASIUM ◽  
2019 ◽  
Vol XIX (2) ◽  
pp. 64
Author(s):  
Pavol Čech ◽  
Pavel Ružbarský ◽  
Ľubomír Paučír ◽  
Dalibor Dzugas
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Age Related ◽  
Health Related ◽  
Wallis Anova ◽  
Vega 1

The aim of the presented study was to assess changes in body composition and intersexual differences among children at pre-pubertal and early-pubertal age. The research was designed as a non-randomized cross-section study. The screened sample consisted of 136 girls and 212 boys assigned into three groups according to their age. Body composition was measured using a direct segmental multi-frequency bioelectrical impedance analysis (DSM-BIA). To examine the association between obesity and selected health-related parameters, Kruskal-Wallis ANOVA and Eta2 were used. For evaluation of intersexual differences, Mann-Whitney U-test was used. The presented article is the part of VEGA 1/0840/17 project. From the perspective of age, neither in the group of girls nor boys we recorded any differences in indicators of body composition, namely in body fat mass index, body fat percentage and, in addition, in the group of girls in the waist to hip ratio parameter.

scholarly journals Association of Non-alcoholic Fatty Liver Disease with Body Fat Percentage in Normal-Weight Individuals

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Zeynab Hatamizargaran ◽  
Mohammadreza Sasani ◽  
Masoumeh Akhlaghi
Keyword(s):  
Risk Factors ◽  
Liver Disease ◽  
Fatty Liver ◽  
Body Fat ◽  
Fatty Liver Disease ◽  
Density Lipoprotein ◽  
Normal Weight ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Study Results

Background: Recent data have suggested that nonalcoholic fatty liver disease (NAFLD) can occur in normal-weight subjects. This study examined the association of body fat percentage (BF%) with NAFLD and its risk factors in normal-weight individuals. Objectives: The present study aimed to explain the influence of body fat on the risk of NAFLD. Methods: A total of 59 subjects with body mass index (BMI) within the range of 18.5 - 24.9 kg/m2 were selected from referrals to two major university polyclinics in Shiraz, Iran, from April to June 2019. Fatty liver grade, anthropometric characteristics, body composition, and cardiometabolic risk factors were measured in this study. Results: Waist circumference (P = 0.012), fat mass (P < 0.001), triglycerides (TG) (P = 0.027), very-low-density lipoprotein (VLDL) (P = 0.007), and TG/high-density lipoprotein cholesterol (HDL-C) ratio (P = 0.003) increased; however, skeletal muscle mass decreased (P < 0.001) across the tertiles of BF%. The average of fatty liver grade was similar in the first and second tertiles; nevertheless, the fatty liver grade of participants in the third tertile was significantly higher (1.3 ± 0.9 vs. 0.4 ± 0.7; P = 0.005). In ordinal regression analysis, BF% (1.13; 95% CI: 1.04 - 1.22; P = 0.003), BMI (1.95; 95% CI: 1.02 - 3.74; P = 0.045), VLDL (1.77; 95% CI: 1.00 - 3.12; P = 0.049), and TG/HDL-C ratio (2.21; 95% CI: 1.26 - 3.86; P = 0.006) had positive associations with NAFLD; nonetheless, HDL-C (0.33; 95% CI: 0.16 - 0.67; P = 0.002) and dietary cholesterol (0.97; 95% CI: 0.95 - 0.997; P = 0.028) had inverse associations with NAFLD after the adjustments for age, gender, BMI, and physical activity. Conclusions: The results of this study suggested that within normal weight ranges, NAFLD occurs more frequently in individuals with higher BF%. In addition, BF% can be used as an important marker in NAFLD screening.

Ultrasound Measurements of Subcutaneous Fat Thickness Are Robust Against Hydration Changes

2020 ◽  
pp. 1-6
Author(s):  
Dale R. Wagner ◽  
James D. Cotter
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Subcutaneous Fat ◽  
Hydration Status ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Ultrasound Measurements ◽  
Subcutaneous Fat Thickness ◽  
Fat Thickness ◽  
The Impact

Ultrasound is an appealing tool to assess body composition, combining the portability of a field method with the accuracy of a laboratory method. However, unlike other body composition methods, the effect of hydration status on validity is unknown. This study evaluated the impact of acute hydration changes on ultrasound measurements of subcutaneous fat thickness and estimates of body fat percentage. In a crossover design, 11 adults (27.1 ± 10.5 years) completed dehydration and hyperhydration trials to alter body mass by approximately ±2%. Dehydration was achieved via humid heat (40 °C, 60% relative humidity) with exercise, whereas hyperhydration was via ingestion of lightly salted water. Ultrasound measurements were taken at 11 body sites before and after each treatment. Participants lost 1.56 ± 0.58 kg (−2.0 ± 0.6%) during the dehydration trial and gained 0.90 ± 0.21 kg (1.2 ± 0.2%) during the hyperhydration trial even after urination. The sum of fat thicknesses as measured by ultrasound differed by <0.90 mm across trials (p = .588), and ultrasound estimates of body fat percentage differed by <0.5% body fat. Ultrasound measures of subcutaneous adipose tissue were unaffected by acute changes in hydration status by extents beyond which are rare and overtly self-correcting, suggesting that this method provides reliable and robust body composition results even when subjects are not euhydrated.

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