scholarly journals Prospective association between body composition, physical activity and energy intake in young adults

2015 ◽  
Vol 70 (4) ◽  
pp. 482-487 ◽  
Author(s):  
C Drenowatz ◽  
B Cai ◽  
G A Hand ◽  
P T Katzmarzyk ◽  
R P Shook ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Energy Intake ◽  
Prospective Association

scholarly journals The Association of Physical Activity during Weekdays and Weekend with Body Composition in Young Adults

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Clemens Drenowatz ◽  
Nicole Gribben ◽  
Michael D. Wirth ◽  
Gregory A. Hand ◽  
Robin P. Shook ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Weight Management ◽  
Weight Change ◽  
Sleep Time ◽  
Inverse Association ◽  
Total Daily Energy Expenditure ◽  
Prospective Association

Physical activity (PA) is a key contributor in long-term weight management but there remains limited research on the association between weekly PA patterns and weight change. The purpose of the present study was to examine the prospective association between weekly PA patterns and weight change in generally healthy young adults. Anthropometric measurements, including dual X-ray absorptiometry, were obtained every 3 months over a period of one year in 338 adults (53% male). At each measurement time, participants wore a multisensor device for a minimum of 10 days to determine total daily energy expenditure and time spent sleeping, sedentary, in light PA (LPA), in moderate PA (MPA), and in vigorous PA (VPA). PA did not differ between weekdays and the weekend at baseline. Twenty-four-hour sleep time, however, was significantly longer during weekends compared to weekdays, which was associated with less time spent sedentary. Weight loss was associated with a significant increase in LPA at the expense of sedentary time during the weekend but not during weekdays. Regression analyses further revealed an inverse association between change in VPA during the weekend and body composition at 12-month follow-up. Taken together, these results suggest that weekend PA plays an important role in long-term weight management.

scholarly journals Meal Habits, Body Fat Composition and Mood Status in Young Adults

2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 1617-1617
Author(s):  
Hsin-Jen Chen
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Food Security ◽  
Body Fat ◽  
Anxiety Score ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Food Security Status ◽  
Fat Composition

Abstract Objectives To examine the association between meal habits (i.e., eating breakfast every day, usually ≥80% fullness at breakfast, and not eating snacks at night), body composition and the subsequent changes in mood status in young adults. Methods This is a longitudinal follow-up study based on a randomized trial (ClinicalTrials.gov Identifier: NCT03828812). Young adults were recruited based in a university campus in Taipei City, Taiwan. In total, 125 participants were recruited and 103 completed the follow-ups. Measured body composition (TANITA BC-418) and moods (Depression Anxiety Stress Scale, DASS) were assessed at baseline, the third month and 15th month from baseline. Baseline meal habits were based on the participants’ recall of their diets in the month before interview. We used mixed-effect model to test the association of baseline total body fat percentage and trunk body fat percentage and moods during follow-ups, adjusting for age, sex, baseline body mass index (BMI), food security status. Results After controlling for sex, age, BMI, and food security status at baseline, having breakfast every day at baseline was associated with 2.04 (se = 0.78, P = 0.0098) lower anxiety score and with 2.58 (se = 1.26, P = 0.0409) lower stress score at baseline. Meal habits were not associated with the subsequent changes in mood status. As for body composition, one % of trunk body fat replacing one % of non-trunk body fat at baseline was associated with 1.19 (se = 0.57, P = 0.0381) higher depression score, 1.02 (se = 0.47, P = 0.0327) higher anxiety score, 2.06 (se = 0.76, P = 0.0075) higher anxiety score at baseline. One % of non-trunk body fat percentage was associated with 2.60 (se = 1.02, P = 0.0116) lower anxiety score, as trunk body fat % is controlled. Baseline body fat composition parameters were not associated with the temporal changes in mood scores. The significance patterns were similar after adjusting for baseline physical activity level, assessed by International Physical Activity Questionnaire. Conclusions Breakfast habits and body composition, especially trunk body fat, was associated with university-based young adults’ emotional health status. Funding Sources Ministry of Science and Technology, Taiwan.

Associations between body composition, nutrition, and physical activity in young adults

2016 ◽  
Vol 29 (1) ◽  
pp. e22903 ◽  
Author(s):  
María Correa-Rodríguez ◽  
Blanca Rueda-Medina ◽  
Emilio González-Jiménez ◽  
Jacqueline Schmidt-RioValle
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Nutrition And Physical Activity

scholarly journals Energy intake, physical activity and body weight: a simulation model

1995 ◽  
Vol 73 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Klaas R. Westerterp ◽  
Jeroen H. H. L. M. Donkers ◽  
Elisabeth W. H. M. Fredrix ◽  
Piet oekhoudt
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Body Weight ◽  
Energy Balance ◽  
Energy Expenditure ◽  
Dietary Intake ◽  
Energy Intake ◽  
Relative Size ◽  
The Body ◽  
Fat Free Mass

In adults, body mass (BM) and its components fat-free mass (FFM) and fat mass (FM) are normally regulated at a constant level. Changes in FM and FFM are dependent on energy intake (EI) and energy expenditure (EE). The body defends itself against an imbalance between EI and EE by adjusting, within limits, the one to the other. When, at a given EI or EE, energy balance cannot be reached, FM and FFM will change, eventually resulting in an energy balance at a new value. A model is described which simulates changes in FM and FFM using EI and physical activity (PA) as input variables. EI can be set at a chosen value or calculated from dietary intake with a database on the net energy of foods. PA can be set at a chosen multiple of basal metabolic rate (BMR) or calculated from the activity budget with a database on the energy cost of activities in multiples of BMR. BMR is calculated from FFM and FM and, if necessary, FFM is calculated from BM, height, sex and age, using empirical equations. The model uses existing knowledge on the adaptation of energy expenditure (EE) to an imbalance between EI and EE, and to resulting changes in FM and FFM. Mobilization and storage of energy as FM and FFM are functions of the relative size of the deficit (EI/EE) and of the body composition. The model was validated with three recent studies measuring EE at a fixed EI during an interval with energy restriction, overfeeding and exercise training respectively. Discrepancies between observed and simulated changes in energy stores were within the measurement precision of EI, EE and body composition. Thus the consequences of a change in dietary intake or a change in physical activity on body weight and body composition can be simulated.

The Effects of Body Composition, Dietary Intake, and Physical Activity on Calcaneus Quantitative Ultrasound in Spanish Young Adults

2016 ◽  
Vol 18 (4) ◽  
pp. 439-444 ◽  
Author(s):  
María Correa-Rodríguez ◽  
Jacqueline Schmidt Rio-Valle ◽  
Emilio González-Jiménez ◽  
Blanca Rueda-Medina
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Body Composition ◽  
Bone Mass ◽  
Dietary Intake ◽  
Lean Mass ◽  
Quantitative Ultrasound ◽  
Early Adulthood ◽  
Broadband Ultrasound Attenuation ◽  
Modifiable Factors

Identifying modifiable factors that influence bone gain during early adulthood in order to maximize peak bone mass (PBM) is a potential primary strategy in the prevention of osteoporosis in later life. The present study examined the relationships between body composition, dietary intake and physical activity (PA), and bone health measured by quantitative ultrasound (QUS) at the right calcaneus. The study population consisted of 781 Spanish men and women (age 19.1 ± 3.6). Body composition, dietary intake, PA, and bone strength were assessed. Calcaneus QUS was significantly correlated with age, height, weight, body mass index, lean mass, fat mass, protein intake, and moderate and high PA. No significant correlation between calcium intake and broadband ultrasound attenuation (BUA, dB/MHz) was detected. Linear regression analyses revealed that independent variables accounted for 18.8% of the total variance of calcaneus BUA ( p = .000). Lean mass and high PA were significant predictors of BUA variance in young adults ( p = .000 and p = .045, respectively). Results indicate that lifestyle choices and their consequences during early adulthood could influence bone mass, particularly PA and lean mass. Furthermore, this study provides novel data about bone mass as indicated by the QUS measurements at the time of PBM acquisition.

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