scholarly journals Factors affecting energy and macronutrient requirements in elderly people

2001 ◽  
Vol 4 (2b) ◽  
pp. 561-568 ◽  
Author(s):  
Patrck Ritz
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Central Area ◽  
Energy Requirements ◽  
Positive Energy ◽  
Elderly Persons ◽  
Exercise Programs ◽  
Physical Activity And Exercise

AbstractObjectives:(i) to describe energy and macronutrient requirements in healthy and diseased elderly patients from knowledge acquired about the age-related changes in energy balance (ii) to describe changes in body composition and the consequences of physical activity and exercise programs.Results:Aging in individuals considered healthy is associated with a reduction in muscle mass and strength (with consequences on autonomy), and an increase in fat mass mainly in the central area, the latter might increase the risk of cardiovascular disease. Body composition changes can be seen as a positive energy (fat) balance. The reduced fat-free mass is responsible for a low resting metabolic rate. Therefore, energy requirements are reduced all the more since physical activity is decreased. A simple means for calculating individuals' energy requirements from estimated resting metaboc rate and physical activity is not yet available in a validated form and is much required. Protein requirements are still debated.Exercise programs can be implemented for increasing muscle mass and strength (resistance training) or for improving aerobic fitness and reducing fat mass (endurance exercise). It is not yet clear whether structured exercise programs or spontaneous physical activity have similar advantages. It is not known in which cases resistance, endurance, or a combination of both exercises should be recommended. The consequences of physical activity and exercise programs on energy and macronutrient requirements is not clear.Diseased elderly persons are prone to malnutrition which impairs clinical and functional outcome. Malnutrition is the result of an energy intake inadequate to match energy requirements. Literature is very short of data on energy requirements in diseased elderly persons, who are under the complex influences of stress (increasing resting energy requirements), reduced body mass and physical activity (reducing energy requirements), plus potential effects of drugs. Almost nothing is known about macronutrient requirements.Conclusions:Further studies are required to enable calculations of energy and macronutrient requirements of individuals, especially diseased. More work has to be done to understand the energy imbalance in the elderly (healthy and diseased). Careful evaluations of physical activity and exercise programs are necessary.

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 The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
University Students ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
The Body ◽  
Study Results ◽  
The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 

Serum sclerostin concentration is associated with specific adipose, muscle and bone tissue markers in lean adolescent females with increased physical activity

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jaak Jürimäe ◽  
Vita Karvelyte ◽  
Liina Remmel ◽  
Anna-Liisa Tamm ◽  
Priit Purge ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Adolescent Females ◽  
Age At Menarche ◽  
Type I ◽  
Multivariate Linear Regression Analysis ◽  
Tnf Α

Abstract Objectives Sclerostin is an important regulator of bone mass involving the Wnt/β-catenin signalling pathway. Relatively few studies have investigated the relationships of circulating sclerostin levels with adiposity-related and muscle-related biochemical factors in individuals with increased energy metabolism. The aim of this study was to investigate the associations of circulating sclerostin with adipokines, myokines, osteokines and body composition values in lean adolescent females with increased physical activity. Methods A total of 73 adolescent females who were physically active and aged 14–18 years old participated in the study. Sclerostin, leptin, resistin, tumour necrosis factor (TNF)-α, interleukin (IL)-6, irisin, osteocalcin, C-terminal telopeptide of type I collagen (CTx), insulin-like growth factor (IGF)-1 and insulin were obtained from fasting blood samples. Body composition was measured by dual-energy X-ray absorptiometry (DXA) and analyzed for body fat mass, lean body mass, bone mineral content and muscle mass. Results Serum sclerostin (117.9 ± 60.3 pg/mL) was correlated with age, age at menarche, body fat, muscle mass, training activity, leptin, TNF-α, irisin, osteocalcin, CTx and IGF-1. Multivariate linear regression analysis demonstrated that fat mass (β = 0.434; p = 0.001), leptin (β = −0.308; p = 0.015), irisin (β = 0.227; p = 0.024) and CTx (β = 0.290; p = 0.031) were the most important predictors of serum sclerostin concentration. Conclusions Bone-derived sclerostin is associated with specific adipokine, myokine and osteokine values in lean adolescent females with increased physical activity. These results suggest that the interactions between bone, adipose and muscle tissues could also be associated with circulating sclerostin concentrations.

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<0.0001) by 2.7 units, fat mass decreased (P<0.0001) by 3.1 kg, and fat percentage decreased (P<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<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<0.05), whereas Prevotellaceae Ga6A1 group, Catenibacterium, Erysipelatoclostridium, Fusobacterium, Holdemanella, Lachnoclostridium, Lactobacillus, Megamonas, Peptoclostridium, Ruminococcus gnavus group, and Streptococcus decreased (P<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 Association between objectively measured body composition, sleep parameters and physical activity in preschool children: a cross-sectional study

BMJ Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. e042669
Author(s):  
Justyna Wyszyńska ◽  
Piotr Matłosz ◽  
Muhammad Asif ◽  
Agnieszka Szybisty ◽  
Paweł Lenik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Preschool Children ◽  
Muscle Mass ◽  
Sleep Duration ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Sleep Parameters ◽  
Objectively Measured

ObjectiveAssociations between self-reported sleep duration and obesity indices in children are well recognised; however, there are no studies on associations between objectively measured other sleep parameters and physical activity with body composition in preschoolers. Therefore, the aim of this study was to determine the associations between sleep parameters and moderate-to-vigorous physical activity (MVPA) with body composition indices in preschoolers using objective measures.DesignA cross-sectional study.ParticipantsThe study group consisted of 676 children aged 5–6 years, who were enrolled in kindergartens in the 2017/2018 school year.Outcome measuresSleep parameters and MVPA were measured using accelerometers for 7 days. Bioelectrical impedance analysis was used to estimate body composition.ResultsSleep duration and sleep efficiency were inversely associated with body fat percentage (BFP) (β=−0.013 and β from –0.311 to −0.359, respectively) and body mass index (BMI) (β from −0.005 to −0.006 and from −0.105 to –0.121, respectively), and directly associated with fat-free mass (FFM) (β from 0.010 to 0.011 and from 0.245 to 0.271, respectively) and muscle mass (β from 0.012 to 0.012 and from 0.277 to 0.307, respectively) in unadjusted and adjusted models. BFP was inversely associated with MVPA and positively associated with number of awakenings and sleep periods. Number of sleep periods was inversely associated with FFM, and positively with BMI and muscle mass. Correlation matrix indicated significant correlation between BFP, FFM and muscle mass with sleep duration, sleep efficiency, number of sleep periods and MVPA.ConclusionsPeriodic assessment of sleep parameters and MVPA in relation to body composition in preschool children may be considered, especially in those who are at risk for obesity.

Appendicular skeletal muscle mass to truncal fat mass ratio as a new index for osteosarcopenic obesity syndrome in older adults: emphasizing the role of central obesity

2020 ◽  
Author(s):  
Lazuardhi Dwipa ◽  
Rini Widiastuti ◽  
Alif Bagus Rakhimullah ◽  
Marcellinus Maharsidi ◽  
Yuni Susanti Pratiwi ◽  
...  
Keyword(s):  
Older Adults ◽  
Skeletal Muscle ◽  
Body Composition ◽  
Muscle Mass ◽  
Fat Mass ◽  
Central Obesity ◽  
Skeletal Muscle Mass ◽  
Positive Correlation ◽  
Appendicular Skeletal Muscle ◽  
Appendicular Skeletal Muscle Mass

Abstract Background The relationship between obesity and low bone mineral density (BMD) in older adults is still unclear. Most of the previous study did not account the factor of sarcopenia which is the progressive loss of skeletal muscle mass due to aging, and distribution of fat in obesity. Thus, this study was aimed to explore the correlation between appendicular skeletal muscle mass (ASMM), total fat mass (FM), and truncal fat mass (TrFM) as well as indexes (ASMM/FM and ASMM/TrFM ratio) with BMD in older adults.Methods This was an analytic cross-sectional study. Dual x-ray absorptiometry (DXA) and bioelectric impedance analysis (BIA) were used to assess BMD and body composition, respectively. Appendicular Skeletal Muscle Mass (ASMM) were used in the analysis to reflect sarcopenia, Fat Mass (FM) and Trunkal Fat Mass (TrFM) were used to reflect general and central obesity, respectively. All data were obtained from medical records of Geriatric Clinic of Hasan Sadikin General Hospital Bandung Indonesia from January 2014 to December 2018. The correlation between body compositions variable with BMD were analyzed using Spearman’s test. We also conducted a comparison analysis of body composition variables between low and normal BMD using Mann-Whitney test. Results A total of 112 subjects were enrolled in the study. ASMM and TrFM were positive (rs=0.517, p<0.001) and negative (rS=-0.22, p=0.02) correlated with BMD, respectively. FM were not correlated with BMD, rS=-0.113 (p=0.234). As indexes, ASMM/FM and ASMM/TrFM had positive correlation with BMD, rS=0.277 (p<0.001), and rS=0.391 (p<0.001), respectively. The ASMM, TrFM, and ASMM/TrFM ratio between normal and low BMD also significantly different (p<0.001), meanwhile FM were not (p=0.204).Conclusion ASMM and TrFM have a positive and negative correlation with BMD, respectively. ASMM/TrFM ratio as new sarcopenia-central obesity index has a positive correlation with BMD.

scholarly journals Lower Percentage of Fat Mass among Tai Chi Chuan Practitioners

2020 ◽  
Vol 17 (4) ◽  
pp. 1232
Author(s):  
Silvia Stagi ◽  
Azzurra Doneddu ◽  
Gabriele Mulliri ◽  
Giovanna Ghiani ◽  
Valeria Succa ◽  
...  
Keyword(s):  
Body Composition ◽  
Grip Strength ◽  
Muscle Mass ◽  
Fat Mass ◽  
Tai Chi ◽  
Hand Grip Strength ◽  
Middle Aged ◽  
Tai Chi Chuan ◽  
Hand Grip ◽  
Total Body

The aim of the study was to analyze total and regional body composition in Tai Chi Chuan (TCC) middle-aged and elderly practitioners. A cross-sectional study on 139 Italian subjects was realized: 34 TCC practitioners (14 men, 20 women; 62.8 ± 7.4 years) and 105 sedentary volunteers (49 men, 56 women; 62.8 ± 6.4 years). Anthropometric measurements (height, weight, arm, waist, and calf circumferences), hand-grip strength, and physical capacity values were collected. Total and regional (arm, leg, and trunk) body composition was analyzed by means of specific bioelectrical impedance vector analysis (specific BIVA). TCC practitioners of both sexes were characterized by a normal nutritional status, normal levels of physical capacity, and normal values of hand-grip strength. Compared to controls, they showed lower percentages of fat mass (lower specific resistance) in the total body, the arm, and the trunk, and higher muscle mass (higher phase angle) in the trunk, but lower muscle mass in the arm. Sexual dimorphism was characterized by higher muscle mass (total body, arm, and trunk) and lower %FM (arm) in men; sex differences were less accentuated among TCC practitioners than in the control. TCC middle-aged and elderly practitioners appear to be less affected by the process of physiological aging and the associated fat mass changes, compared to sedentary people.

scholarly journals Longitudinal changes in body composition and waist circumference by self-reported levels of physical activity in leisure among adolescents: the Tromsø study, Fit Futures

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Nils Abel Aars ◽  
Bjarne K. Jacobsen ◽  
Bente Morseth ◽  
Nina Emaus ◽  
Sameline Grimsgaard
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Waist Circumference ◽  
Fat Mass ◽  
Lean Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
First Year ◽  
Fat Mass Index

Abstract Background It is not clear how physical activity affects body composition in adolescents. Physical activity levels are often reduced during this period, and the relative proportion of body fat mass and lean mass undergo natural changes in growing adolescents. We aimed to examine whether self-reported physical activity in leisure time at baseline or change in activity during follow-up affect changes in four measures of body composition; body mass index (kg/m2), waist circumference, fat mass index (fat mass in kg/m2) and lean mass index (lean mass in kg/m2). Methods We used data from the Tromsø Study Fit Futures, which invited all first year students in upper secondary high school in two municipalities in northern Norway in 2010–2011. They were reexamined in 2012–2013. Longitudinal data was available for 292 boys and 354 girls. We used multiple linear regression analyses to assess whether self-reported level of physical activity in leisure time at baseline predicted changes in body composition, and analysis of covariance to assess the effects of change in level of activity during follow-up on change in body composition. All analyses were performed sex-specific, and a p-value of < 0.05 was considered statistically significant. Results There were no associations between self-reported leisure time physical activity in the first year of upper secondary high school and changes in any of the considered measure of body composition after 2 years of follow up, with the exception of waist circumference in boys (p = 0.05). In boys, change in fat mass index differed significantly between groups of activity change (p < 0.01), with boys adopting activity or remaining physically active having less increase in fat mass index than the consistently inactive. In girls, change in lean mass index differed significantly between groups of activity change (p = 0.04), with girls adopting physical activity having the highest increase. Conclusions Self-reported leisure time physical activity does not predict changes in body composition in adolescents after 2 years of follow up. Change in the level of physical activity is associated with change in fat mass index in boys and lean mass index in girls.

Contribution of body composition and physical activity to age-related decline in peak VO2 in men and women

1994 ◽  
Vol 77 (2) ◽  
pp. 647-652 ◽  
Author(s):  
M. J. Toth ◽  
A. W. Gardner ◽  
P. A. Ades ◽  
E. T. Poehlman
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Fat Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Fat Free Mass ◽  
Men And Women ◽  
Peak Vo2 ◽  
Age Related ◽  
Rate Of Decline

We examined the contribution of variations in body composition and leisure time physical activity to the age-related decline in peak oxygen consumption (VO2) in men and women. Healthy males 17–80 yr old (n = 378) and females 18–81 yr old (n = 224) were characterized for peak VO2 from a treadmill test to exhaustion, fat-free mass and fat mass by underwater weighing, and leisure time physical activity. Peak VO2 showed a greater absolute decline (P < 0.05) with age in males (r = -0.70, slope = -0.034 l.min-1.yr-1; P < 0.01) than in females (r = -0.78, slope = -0.028 l.min-1.yr-1; P < 0.01). After statistically controlling for differences in fat-free mass and fat mass, the decline in peak VO2 was diminished in both sexes, although a greater rate of decline persisted in males (r = -0.47, slope = -0.016 l.min-1.yr-1; P < 0.01) than in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01). We found that the addition of leisure time physical activity (independent of body composition) to the regression model further attenuated the rate of decline in males (r = -0.40, slope = -0.013 l.min-1.yr-1; P < 0.01) but did not alter the age-related decline in peak VO2 in females (r = -0.39, slope = -0.009 l.min-1.yr-1; P < 0.01).(ABSTRACT TRUNCATED AT 250 WORDS)

scholarly journals The Single Nucleotide PolymorphismPPARG2Pro12Ala Affects Body Mass Index, Fat Mass, and Blood Pressure in Severely Obese Patients

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ana Paula dos Santos Rodrigues ◽  
Lorena Pereira Souza Rosa ◽  
Hugo Delleon da Silva ◽  
Elisângela de Paula Silveira-Lacerda ◽  
Erika Aparecida Silveira
Keyword(s):  
Physical Activity ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
Fat Mass ◽  
Obese Patients ◽  
Pro12ala Polymorphism ◽  
Logistic Regression Models ◽  
Severely Obese

Background. ThePPARG2Pro12Ala (rs1801282) andIL6-174G >C (rs1800795) have important function in body weight regulation and a potential role in obesity risk. We aimed to investigate the association betweenPPARG2Pro12Ala andIL6-174G >C variants and the genotypes interaction with body composition, metabolic markers, food consumption, and physical activity in severely obese patients.Methods. 150 severely obese patients (body mass index (BMI) ≥ 35 kg/m2) from Central Brazil were recruited. Body composition, metabolic parameters, physical activity, and dietary intake were measured. The genotype was determined by the qPCR TaqMan Assays System. Multiple linear regression and multiple logistic regression models were fitted adjusting for confounders.Results. Ala carriers of the Pro12Ala polymorphism had higher adiposity measures (BMI:p=0.031, and fat mass:p=0.049) and systolic blood pressure (p=0.026) compared to Pro homozygotes. We found no important associations between the -174G >C polymorphism and obesity phenotypes. When genotypes were combined, individuals with genotypes ProAla + AlaAla and GC + CC presented higher BMI (p=0.029) and higher polyunsaturated fatty acids (PUFAs) consumption (p=0.045) compared to the ones with genotypes ProPro and GG, and individuals carriers of thePPARG2Ala allele only (genotype ProAla + AlaAla and GG) had higher fat mass and systolic and diastolic blood pressure compared to the ones with genotypes ProPro and GG.Conclusions. Severely obese individuals carrying the Ala allele of thePPARG2Pro12Ala polymorphism had higher measures of adiposity and blood pressure, while no important associations were found for theIL6-174G >C polymorphism.

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