scholarly journals Measuring Outcomes in Adult Weight Loss Studies That Include Diet and Physical Activity: A Systematic Review

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Rachel A. Millstein
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Weight Loss ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Tissue Type ◽  
Adult Weight ◽  
Body Composition Change ◽  
Diet And Physical Activity

Background. Measuring success of obesity interventions is critical. Several methods measure weight loss outcomes but there is no consensus on best practices. This systematic review evaluates relevant outcomes (weight loss, BMI, % body fat, and fat mass) to determine which might be the best indicator(s) of success.Methods. Eligible articles described adult weight loss interventions that included diet and physical activity and a measure of weight or BMI change and body composition change.Results. 28 full-text articles met inclusion criteria. Subjects, settings, intervention lengths, and intensities varied. All studies measured body weight (−2.9 to −17.3 kg), 9 studies measured BMI (−1.1 to −5.1 kg/m2), 20 studies measured % body fat (−0.7 to −10.2%), and 22 studies measured fat mass (−0.9 to −14.9 kg). All studies found agreement between weight or BMI and body fat mass or body fat % decreases, though there were discrepancies in degree of significance between measures.Conclusions. Nearly all weight or BMI and body composition measures agreed. Since body fat is the most metabolically harmful tissue type, it may be a more meaningful measure of health change. Future studies should consider primarily measuring % body fat, rather than or in addition to weight or BMI.

scholarly journals Uric acid is associated with adiposity factors, especially with fat mass reduction during weight loss in obese children and adolescents

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Yang Niu ◽  
Xue-lin Zhao ◽  
Hui-juan Ruan ◽  
Xiao-meng Mao ◽  
Qing-ya Tang
Keyword(s):  
Weight Loss ◽  
Body Composition ◽  
Uric Acid ◽  
Children And Adolescents ◽  
Body Fat ◽  
Fat Mass ◽  
Dietary Control ◽  
Obese Children ◽  
Fat Percentage ◽  
Before And After

Abstract Background Current adult studies suggest that uric acid (UA) is associated with body fat, but the relationship in obese children is unclear. Thus, we aim to evaluate the association between uric acid and body composition of obese children. Methods A total of 79 obese children were included in this study, and 52 children (34 boys and 18 girls) underwent a 6-week weight loss camp, including 34 boys and 18 girls. Six-week weight-loss interventions were performed on all participants through aerobic exercise and appropriate dietary control. Laboratory tests and body composition were collected before and after the intervention. Results Before the intervention, correlation analysis demonstrated that uric acid was positively correlated with height, weight, body mass index (BMI), waist circumference, hip circumference, fat mass (FM), and free fat mass (FFM) with adjusting for age and gender (P < 0.05). After 6 weeks of intervention, the participants gained 3.12 ± 0.85 cm in height, body fat percentage decreased by 7.23 ± 1.97%, and lost 10.30 ± 2.83 kg in weight. Univariate and multivariate analysis indicated that uric acid at baseline was associated with FM reduction during weight loss (P < 0.05). Conclusions This study is the first report that uric acid is associated with BMI and FM, and may play an important role in the reduction of FM during weight loss in obese children and adolescents. The interaction between UA and adiposity factors and its underlying mechanisms need to be further explored. Trial registration This study was registered in Clinical Trials.gov (NCT03490448) and approved by the Ethics Committee of Xinhua Hospital, Shanghai Jiao Tong University School of Medicine.

Weight Loss and High-Protein, High-Fiber Diet Consumption Impact Blood Metabolite Profiles, Body Composition, Voluntary Physical Activity, Fecal Microbiota, and Fecal Metabolites of Adult Dogs

2021 ◽  
Author(s):  
Thunyaporn Phungviwatnikul ◽  
Anne H Lee ◽  
Sara E Belchik ◽  
Jan S Suchodolski ◽  
Kelly S Swanson
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Composition ◽  
Mass Loss ◽  
Fat Mass ◽  
Fecal Microbiota ◽  
Restricted Feeding ◽  
High Fiber ◽  
Voluntary Physical Activity ◽  
Over Time

Abstract Canine obesity is associated with reduced lifespan and metabolic dysfunction, but can be managed by dietary intervention. This study aimed to determine the effects of restricted feeding of a high-protein, high-fiber (HPHF) diet and weight loss on body composition, physical activity, blood metabolites, and fecal microbiota and metabolites of overweight dogs. Twelve spayed female dogs [age: 5.5±1.1 yr; body weight (BW): 14.8±2.0 kg, body condition score (BCS): 7.9±0.8] were fed a HPHF diet during a 4-wk baseline phase to maintain BW. After baseline (wk 0), dogs were first fed 80% of baseline intake and then adjusted to target 1.5% weekly weight loss for 24 wk. Body composition using dual-energy x-ray absorptiometry and blood samples (wk 0, 6, 12, 18, 24), voluntary physical activity (wk 0, 7, 15, 23), and fresh fecal samples for microbiota and metabolite analysis (wk 0, 4, 8, 12, 16, 20, 24) were measured over time. Microbiota data were analyzed using QIIME 2. All data were analyzed statistically over time using SAS 9.4. After 24 wk, dogs lost 31.2% of initial BW and had 1.43±0.73% weight loss per wk. BCS decreased (P&lt;0.0001) by 2.7 units, fat mass decreased (P&lt;0.0001) by 3.1 kg, and fat percentage decreased (P&lt;0.0001) by 3.1 kg and 11.7% with weight loss. Many serum metabolites and hormones were altered, with triglycerides, leptin, insulin, C-reactive protein, and interleukin-6 decreasing (P&lt;0.05) with weight loss. Relative abundances of fecal Bifidobacterium, Coriobacteriaceae UCG-002, undefined Muribaculaceae, Allobaculum, Eubacterium, Lachnospira, Negativivibacillus, Ruminococcus gauvreauii group, uncultured Erysipelotrichaceae, and Parasutterella increased (P&lt;0.05), whereas Prevotellaceae Ga6A1 group, Catenibacterium, Erysipelatoclostridium, Fusobacterium, Holdemanella, Lachnoclostridium, Lactobacillus, Megamonas, Peptoclostridium, Ruminococcus gnavus group, and Streptococcus decreased (P&lt;0.01) with weight loss. Despite the number of significant changes, a state of dysbiosis was not observed in overweight dogs. Fecal ammonia and secondary bile acids decreased, while fecal valerate increased with weight loss. Several correlations between gut microbial taxa and biological parameters were observed. Our results suggest that restricted feeding of a HPHF diet and weight loss promotes fat mass loss, minimizes lean mass loss, reduces inflammatory marker and triglyceride concentrations, and modulates fecal microbiota phylogeny and activity in overweight dogs.

scholarly journals Maternal obesity and offspring body composition by indirect methods: a systematic review and meta-analysis

2015 ◽  
Vol 31 (10) ◽  
pp. 2073-2092 ◽  
Author(s):  
Helen Castillo-Laura ◽  
Iná S. Santos ◽  
Lenice C. M. Quadros ◽  
Alicia Matijasevich
Keyword(s):  
Systematic Review ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Maternal Obesity ◽  
Fat Free Mass ◽  
Case Control Studies ◽  
Indirect Methods ◽  
Body Fat Percent ◽  
Maternal Overweight

Abstract This study reviewed the evidence that assessed the association between maternal pre-pregnancy body mass index (BMI) and/or gestational weight gain and offspring body composition in childhood. A systematic review was conducted. Cohort studies, case-control studies and randomized controlled trials measuring offspring body composition by indirect methods were included. Meta-analyses of the effect of pre-pregnancy BMI on offspring fat-free mass, body fat percent, and fat mass were conducted through random-effects models. 20 studies were included, most of which reported a positive association of pre-pregnancy BMI with offspring body fat. Standardized mean differences in body fat percent, fat mass and fat-free mass between infants of women with normal pre-pregnancy BMI and those of overweight/obese women were 0.31 percent points (95%CI: 0.19; 0.42), 0.38kg (95%CI: 0.26; 0.50), and 0.18kg (95%CI: -0.07; 0.42), respectively. Evidence so far suggests that pre-pregnancy maternal overweight is associated with higher offspring adiposity.

scholarly journals Effectiveness of an mHealth Intervention Combining a Smartphone App and Smart Band on Body Composition in an Overweight and Obese Population: Randomized Controlled Trial (EVIDENT 3 Study) (Preprint)

2020 ◽  
Author(s):  
Cristina Lugones-Sanchez ◽  
Maria Antonia Sanchez-Calavera ◽  
Irene Repiso-Gento ◽  
Esther G Adalia ◽  
J Ignacio Ramirez-Manent ◽  
...  
Keyword(s):  
Physical Activity ◽  
Clinical Trial ◽  
Weight Loss ◽  
Body Composition ◽  
Body Fat ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Smartphone App ◽  
Mhealth Intervention ◽  
Randomized Controlled

BACKGROUND Mobile health (mHealth) is currently among the supporting elements that may contribute to an improvement in health markers by helping people adopt healthier lifestyles. mHealth interventions have been widely reported to achieve greater weight loss than other approaches, but their effect on body composition remains unclear. OBJECTIVE This study aimed to assess the short-term (3 months) effectiveness of a mobile app and a smart band for losing weight and changing body composition in sedentary Spanish adults who are overweight or obese. METHODS A randomized controlled, multicenter clinical trial was conducted involving the participation of 440 subjects from primary care centers, with 231 subjects in the intervention group (IG; counselling with smartphone app and smart band) and 209 in the control group (CG; counselling only). Both groups were counselled about healthy diet and physical activity. For the 3-month intervention period, the IG was trained to use a smartphone app that involved self-monitoring and tailored feedback, as well as a smart band that recorded daily physical activity (Mi Band 2, Xiaomi). Body composition was measured using the InBody 230 bioimpedance device (InBody Co., Ltd), and physical activity was measured using the International Physical Activity Questionnaire. RESULTS The mHealth intervention produced a greater loss of body weight (–1.97 kg, 95% CI –2.39 to –1.54) relative to standard counselling at 3 months (–1.13 kg, 95% CI –1.56 to –0.69). Comparing groups, the IG achieved a weight loss of 0.84 kg more than the CG at 3 months. The IG showed a decrease in body fat mass (BFM; –1.84 kg, 95% CI –2.48 to –1.20), percentage of body fat (PBF; –1.22%, 95% CI –1.82% to 0.62%), and BMI (–0.77 kg/m<sup>2</sup>, 95% CI –0.96 to 0.57). No significant changes were observed in any of these parameters in men; among women, there was a significant decrease in BMI in the IG compared with the CG. When subjects were grouped according to baseline BMI, the overweight group experienced a change in BFM of –1.18 kg (95% CI –2.30 to –0.06) and BMI of –0.47 kg/m<sup>2</sup> (95% CI –0.80 to –0.13), whereas the obese group only experienced a change in BMI of –0.53 kg/m<sup>2</sup> (95% CI –0.86 to –0.19). When the data were analyzed according to physical activity, the moderate-vigorous physical activity group showed significant changes in BFM of –1.03 kg (95% CI –1.74 to –0.33), PBF of –0.76% (95% CI –1.32% to –0.20%), and BMI of –0.5 kg/m<sup>2</sup> (95% CI –0.83 to –0.19). CONCLUSIONS The results from this multicenter, randomized controlled clinical trial study show that compared with standard counselling alone, adding a self-reported app and a smart band obtained beneficial results in terms of weight loss and a reduction in BFM and PBF in female subjects with a BMI less than 30 kg/m<sup>2</sup> and a moderate-vigorous physical activity level. Nevertheless, further studies are needed to ensure that this profile benefits more than others from this intervention and to investigate modifications of this intervention to achieve a global effect. CLINICALTRIAL Clinicaltrials.gov NCT03175614; https://clinicaltrials.gov/ct2/show/NCT03175614. INTERNATIONAL REGISTERED REPORT RR2-10.1097/MD.0000000000009633

scholarly journals Eating-Disordered Behavior in Adolescents: Associations with Body Image, Body Composition and Physical Activity

2020 ◽  
Vol 17 (18) ◽  
pp. 6665
Author(s):  
Eliška Štefanová ◽  
Peter Bakalár ◽  
Tibor Baška
Keyword(s):  
Physical Activity ◽  
Body Image ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Mental Health Problems ◽  
Pearson Correlation ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Eating Disordered

Eating disorders (EDs) represent a disparate group of mental health problems that significantly impair physical health or psychosocial functioning. The aim of this study was to present some evidence about the prevalence of eating-disordered behavior (EDB) in adolescents, and explore its associations with body image (BI), body composition (BC) and physical activity (PA) in this age group. Data from 780 adolescents participating in a health behavior in school-aged children (HBSC) study conducted in Slovakia in 2018 were used (mean age 13.5 ± 1.3; 56% boys). Differences in mean values of numerical indicators were evaluated using the independent samples t-test. Differences between nominal variables were assessed by the chi-square test. Pearson correlation was used to describe the associations between all the selected variables. EDB was positively screened in 26.7% (208/780) of adolescents, with a higher prevalence in girls (128/344, 37.2%) than in boys (80/436, 18.3%). Significantly higher means of BI, body weight (BW), body mass index (BMI), body fat mass (BFM), body fat percentage (BFP), body fat mass index (BFMI), fat free mass index (FFMI), and SCOFF questionnaire score (SCOFF QS) were found in those positively screened for EDB. Pearson correlation analysis revealed positive associations between EDB and BI, BW, BMI, BFM, BFP and BFMI. The prevalence of EDB is high in Slovak adolescents. Positive associations between EDB, BI, BMI and fat-related body composition parameters support the idea of a more integrated approach in EDs and obesity prevention and treatment. At the same time, gender differences suggest the need for considering gender-specific strategies aimed at girls and boys separately.

scholarly journals Changes in body composition with a hypocaloric diet combined with sedentary, moderate and high-intense physical activity: a randomized controlled trial

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
A. Hernández-Reyes ◽  
F. Cámara-Martos ◽  
R. Molina-Luque ◽  
M. Romero-Saldaña ◽  
G. Molina-Recio ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Composition ◽  
Body Fat ◽  
The Body ◽  
Hypocaloric Diet ◽  
Moderate Exercise ◽  
Intense Activity ◽  
Physical Activity Group ◽  
Intense Physical Activity

Abstract Background There is evidence showing the effectiveness of a hypocaloric diet and the increase in physical activity on weight loss. However, the combined role of these factors, not only on weight loss but also body composition, remains unclear. The purpose of this study was to investigate the effect of a hypocaloric diet on the body composition of obese adult women throughout different degrees of physical activity during a weight loss program. Methods One hundred and seventeen healthy female volunteers were randomly assigned to one of the experimental groups: a control group with a low-level prescription of physical activity (1–4 METs), moderate physical activity group that performed 10.000 steps walking (5–8 METs) and intense physical activity group that trained exercises by at least 70% of VO2max three times a week (> 8 METs). All subjects followed a hypocaloric diet designed with a reduction of 500 kcal/day. Nutritional counseling was provided throughout the study period to help ensure dietary adherence. Results We found no differences in body weight compared to moderate and intense physical activity (ßstand. = − 0.138 vs. ßstand. = − 0.139). Body fat was lower in women following an intense activity (ßstand. = − 0.436) than those with moderate exercise (ßstand. = − 0.231). The high-intense activity also increased muscle mass at the end of the intervention, standing out above the moderate activity (ßstand. = 0.182 vs. ßstand. = 0.008). Conclusions These findings indicate that a hypocaloric diet, without prescription of physical activity, is adequate to lose weight in the short term (12 weeks), but physical activity is vital to modify the body composition in women with obesity. Body fat was lower when women practiced a moderate exercise compared to hypocaloric diet only, but an intense physical activity was the most effective protocol to obtain a reduction of body fat and maintain muscle mass. Trial registration The study protocol complied with the Declaration of Helsinki for medical studies, it was approved by the bioethical committee of Córdoba University, in the Department of Health at the Regional Government of Andalusia (Act n°284, ref.4156) and retrospectively registered in clinicaltrials.gov (NCT03833791). Registered 2 January 2019.

scholarly journals Step-Defined Physical Activity Is Associated With Weight Loss and Changes in Body Composition and Fat Distribution in Response to Diet Interventions: The POUNDS Lost Trial

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 1259-1259
Author(s):  
Qiaochu Xue ◽  
Xiang Li ◽  
Hao Ma ◽  
Tao Zhou ◽  
Yoriko Heianza ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Loss ◽  
Body Composition ◽  
Body Weight ◽  
Body Fat ◽  
Fat Distribution ◽  
Tissue Mass ◽  
Adipose Tissue Mass ◽  
Fat Composition ◽  
Protein Diets

Abstract Objectives To examine whether objectively measured physical activity (PA) is associated with weight loss and changes in body composition and fat distribution in response to weight-loss diet interventions. Methods This study included 535 overweight or obese participants randomly assigned to 4 weight-loss diets varying in macronutrient intake with physical activity measured objectively with pedometers in the POUNDS Lost trial. The associations of step defined PA or the changes in PA with the changes in obesity measurements including body weight (BW), waist circumference (WC), body fat composition assessed by the dual-energy X-ray absorptiometry (DEXA) scans, body fat distribution assessed by the computed tomography (CT) were examined at the 6 and 24 months. We also examined whether the associations were modified by diet interventions. Results The increase of step-defined PA was significantly predictive of weight loss and decrease in all measurements of body fat composition and distribution in response to diet interventions over 24 months (P &lt; 0.0001 for all). We also observed significant inverse associations of changes in PA with changes in BW (P &lt; 0.0001), WC (P &lt; 0.0001), body fat composition (P &lt; 0.05 for total fat, total lean, total fat mass %, and trunk fat %) and fat distribution (P &lt; 0.05 for total adipose tissue mass (TAT), visceral adipose tissue mass (VAT), deep subcutaneous adipose tissue mass (DSAT)) from baseline to 6 months, when the maximum weight loss was achieved. Dietary fat or protein intake modified the associations between changes in PA and changes in body weight and waist circumference over 24 months; greater reduction in these measures was observed in participants with high-fat or low-protein diets than those in the low-fat or high-protein diets (P interaction &lt; 0.05 for all). Conclusions Our results indicate that objectively measured PA is inversely related to the changes in body weight, body composition, and fat distribution in response to weight-loss diets, and such relation is more evident in people with high-fat or low-protein diets. Funding Sources The study was supported by grants from the National Heart, Lung, and Blood Institute, the National Institute of Diabetes and Digestive and Kidney Diseases, the Fogarty International Center, and Tulane Research Centers of Excellence Awards.

scholarly journals Body composition and health behaviors among older women attending regular fitness classes: a pilot study

2021 ◽  
Vol 15 (1) ◽  
pp. 1-9
Author(s):  
Agata Mroczek ◽  
Iwona Dobrowolska ◽  
Magdalena Golachowska
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Health Behaviors ◽  
Older Women ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Body Fat Mass ◽  
Lower Body ◽  
Senior Women

Background: The average lifespan is increasing worldwide, although the healthspan and quality of life is not. Many older adults either have a chronic disease, excessive body mass, or do not follow the healthy lifestyle recommendations as for nutrition and physical activity. Aim of the study: This study aimed to assess the relationship between body composition among senior women and health behaviors in the five domains of nutrition, body care, rest, safety and physical activity. Material and methods: The study group consisted of 36 women attending fitness classes. The Positive Health Behavior Questionnaire was used as the qualitative measurement and participant height, weight and body composition were measured. Body Mass Index (BMI), Waist-to-Hip Ratio (WHR ), Basal Metabolic Rate (BMR) were calculated. Results: Significant correlations (p≤0.05) were found between attending organized physical activities and higher muscle mass and higher BMR. Moreover, (a) sleeping at least six to seven hours at night correlated with a lower BMI and lower body fat mass; (b) spending at least 20–30 minutes a day resting correlated with lower visceral fat; (c) devoting at least 30 minutes daily to moderate or heavy physical exertion correlated with lower body fat mass, percent of body fat and visceral adiposity. Conclusions: The study shows strong relationships between physical activity, dietary patterns, rest, length of sleep, BMI, adiposity and muscle mass of physically active senior women. The results suggest it is necessary to actively promote and support older women in implementing healthy behaviors consistently in their life.

scholarly journals Efficacy of Whole-Body Electromyostimulation (WB-EMS) on Body Composition and Muscle Strength in Non-athletic Adults. A Systematic Review and Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Wolfgang Kemmler ◽  
Mahdieh Shojaa ◽  
James Steele ◽  
Joshua Berger ◽  
Michael Fröhlich ◽  
...  
Keyword(s):  
Systematic Review ◽  
Body Composition ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Meta Analysis ◽  
Whole Body ◽  
Body Fat Mass ◽  
Strength Parameters ◽  
Trunk Extension

This systematic review and meta-analysis set out to determine the efficacy on whole-body electromyostimulation (WB-EMS) on body composition and strength parameters in non-athletic cohorts. A systematic review of the literature according to the PRISMA statement included (a) controlled trials, (b) WB-EMS trials with at least one exercise and one control group, (c) WB-EMS as primary physical intervention, (d) WB-EMS with at least six electrodes covering most muscle groups, (e) non-athletic cohorts. We searched eight electronic databases up to June 30, 2020, without language restrictions. Standardized mean differences (SMD) for muscle mass parameters, total body fat mass, maximum leg extension, and trunk extension strength were defined as outcome measures. In summary, 16 studies with 19 individual WB-EMS groups representing 897 participants were included. Studies vary considerably with respect to age, BMI, and physical conditions. Impulse protocols of the studies were roughly comparable, but training frequency (1–5 sessions/week) and intervention length (6–54 weeks) differed between the studies. SMD average was 1.23 (95%-CI: 0.71–1.76) for muscle mass, 0.98 (0.74–1.22) for maximum leg, and 1.08 (0.78–1.39) for maximum trunk extension strength changes (all p &lt; 0.001). SMD for body fat changes (−0.40, [−0.98 to 0.17]), however, did not reach significance. I2 and Q-statistics revealed substantial heterogeneity of muscle and fat mass changes between the trials. However, rank and regression tests did not indicate positive evidence for small-study bias and funnel plot asymmetries. This work provided further evidence for significant, large-sized effects of WB-EMS on muscle mass and strength parameters, but not on body fat mass.Clinical Trial Registration:ClinicalTrials.gov, PROSPERO; ID: CRD42020183059.

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