This study was conducted to determine the change in weight and body composition over a 6-week holiday period. Change in body composition was measured using air displacement plethysmography technology (Bod Pod®). Thirteen men and 21 women ranging in age from 23-61 years were participants for this study. Baseline testing occurred the week of Thanksgiving Day (November 24 or 25), and the post-holiday assessment was the week after Utah State University's holiday break (January 5 or 6). Results from a nutrition and exercise questionnaire revealed a significant difference between pre-holiday and post-holiday consumption of vegetables (8.6 ± 8.3 vs. 6.2 ± 4.0), special holiday foods (1.6 ± 1.9 vs. 2.5 ± 2.1), regular soda (1.5 ± 2.2 vs. 2.2 ± 2.6), and social gatherings attended (1.6 ± 1.5 vs. 2.2 ± 1.7). There was also a statistically significant decline in the number of days per week individuals exercised pre-holiday (3.7 ± 2.0 day/week) versus post-holiday (2.6 ± 2.3 day/week). Despite these differences, there was no statistically significant difference between pre-holiday weight (74.0 ± 17.8 kg) and post-holiday weight (73.9 ± 18.1 kg), nor between pre-holiday body fat percentage (25.4 ± 9.0%) and post-holiday body fat percentage (25.4 ± 8.9%).

No description available.

Bakgrund Det finns ännu inga etablerade officiella gränsvärden för övervikt och fetma som är baserade på proportionen fettmassa (FM%) utan de gränsvärden som finns är utgår body mass index (BMI) eller midjemått. Syfte Att utveckla modeller för att prediktera FM, procentuellt och i kg, utifrån antropometriska mått hos unga och medelålders (20-49 år) svenska män. Vidare syftar uppsatsen till att undersöka vilka värden för FM% som motsvarar 25 kg/m2 och 30 kg/m2 i BMI och samt för 94 cm och 102 cm i midjemått. Metod Männen har rekryterats med hjälp av en mödravårdscentral, kvinnohälsan, i Linköping i samband med ett projekt om utveckling av barnfetma. Totalt 136 män undersöktes med Bod Pod, en maskin som mäter kroppssammansättning med hög validitet. Vidare mättes antropometriska mått såsom vikt, längd och midjemått vid mättillfället. Resultat Regressionsmodellerna med midjemått och BMI (r=0,94) samt midjemått (r=0,94) var de som var signifikant högst korrelerade till FM (kg). De regressionsmodellerna som förklarade mest av variansen i FM% var de med 1) M/L (midja/längd), midjemått och BMI 2) M/L och 3) midjemått som oberoende variabler (r=0,86-0,88). Ett BMI på 25 kg/m2 och 30 kg/m2 motsvaras av 23, respektive 32 FM%. Motsvarande värden för midjemått 94 och 102 cm var 25, respektive 31 FM%. Slutsats Midjemått och M/L (midjemått/längd) är bäst för att prediktera mängden fettmassa (FM), både i procent och kg. BMI 25 kg/m2 motsvarar 23±1 i FM% och BMI 30 kg/m2 korresponderas av 32±2 i FM%. / Introduction Currently, no official cut-offs regarding overweight and obesity based on proportion fat mass (FM%) are available. Existing cut-offs are instead derived from body mass index (BMI) and waist circumference. Aim To develop equations to predict FM, in percent and kg, from anthropometric measures in young and middle aged (20-49 years of age) Swedish men. Also, this paper aims to investigate which values for FM% that corresponds to firstly 25 kg/m2 and 30 kg/m2 in BMI and secondly to 94 cm and 102 cm in waist circumference. Methods The men in the study were recruited in collaboration with a maternity clinic, kvinnohälsan, in Linköping. In total, 136 men were measured by the means of Bod Pod, a device that measures body composition in a valid manner. Anthropometric measures such as weight, height and waist circumference were measured. Results The regression models with waist circumference and BMI (r=0,94) and waist circumference (r=0,94) were significantly strongest related to FM (kg). The regression models who explained most of the variability in FM% were the ones with 1) W/H (waist circumference/height), waist circumference and BMI 2) W/H and 3) waist circumference as independent variables. A BMI of 25 kg/m2 and 30 kg/m2 corresponds to a FM% of 23 and 32, respectively. Corresponding values for waist circumference (94 and 102 cm) were 25 FM% and 31 FM%, respectively. Conclusion Waist circumference and W/H were the best variables to predict fat mass, both in percent and kg. BMI 25 kg/m2 corresponds to a FM% of 23±1 while BMI 30 kg/m2 is equivalent to 32±2 in FM%.

The objective of the present study was to explore the correlation between resting metabolic rate (RMR), body composition and physical activity in active and inactive men and women aged 20-30 years. In total, 13 active and 10 inactive women and 8 active and 5 inactive men were enrolled in this study. RMR was measured using an indirect respiratory calorimeter and body composition was obtained using a BodPod, anthropometric measurements (measurements of waist, weight, skin fold thickness etc.) and bioelectrical impedance analysis. From the BodPod were information obtained about fat-free mass (FFM) and fat mass (FM) and from the bioelectrical impedance analysis were data obtained about the total body water (TBW). By combining the data from these methods a three-compartment model could be produced. This gives a better value of the body composition. By using anthropometric measurements the muscle mass (MM) could be calculated. FFM measurements correlate best with RMR for both active men and women and for inactive women. For the inactive men MM correlates best with RMR. In conclusion, comparing the groups as a whole it is seen that the FFM correlates best with RMR for both women and men. Since the muscles are the metabolically active part of FFM it is concluded that muscles affects the RMR value and muscles can in turn be influenced by training.

The body composition of female collegiate athletes was measured using the Bod Pod® device. The sample consisted of 75 student athletes, aged 18 to 22 years old. Five sports at the university level were represented, including basketball, gymnastics, soccer, swimming & diving, and soccer. Participants were measured at the preseason and postseason periods. Overall, participants in all five sports were not found to change significantly in total body mass, fat mass, fat free mass, percent body fat, or body mass index from the preseason period to the postseason period at the alpha = 0.05 level. On average, the members from each of the different teams were found to be significantly different from each other for one or more variables. In general, basketball and volleyball players were found to be similar in body composition. The average member on the swimming & diving, soccer, and gymnastics teams was found to vary from the average team member on each of the other teams.

Overweight and obesity trends are on the rise, and young people are no exception. The popular phrase "Freshman 15" suggests that freshmen in college tend to gain weight faster than other populations. There is a growing body of literature that supports evidence of increased weight gain during the transition from high school to college. This study sought to examine not only weight changes among freshmen, but body composition, body mass index (BMI), and waist circumference (WC) changes as well. Body composition was measured using air displacement plethysmography (Bod Pod®). This study examined changes in both males (n = 45) and females (n = 43), as well as a subsample of Division I collegiate athletes (n = 19). The present study evaluated changes that occurred among a final group of 107 participants. Measurements were taken at the beginning of the semester in September, again in December, and at the end of the school year in April. Self-report questionnaires based on nutritional and physical activity were also evaluated. Significant increases in weight (2.1 ± 2.6 kg), BMI (0.69 ± 0.87 kg/m2), and WC (1.7 ± 2.7 cm) did occur during the freshman year. However, the change in body composition was not significant (p > 0.05). There was no relationship between the nutrition responses and the body composition changes that occurred with the exception of a weak relationship between change in "total caloric consumption during your freshman year" and change in body mass (r = 0.25, p < 0.05), change in BMI (r = 0.24, p < 0.05), and change in %BF (r = 0.20, p < 0.05). Regarding exercise, "total time spent doing physical activity during your freshman year" was inversely correlated to change in %BF (r = 0.27, p < 0.01). Finally, differences between non-athletes and athletes were not statistically significant (p > 0.05). These findings indicate that there are significant physical changes that occur during the freshman year of college. These changes may be a result of changes in environment, caloric consumption, and decreased physical activity. However, results did not indicate that these changes include a significant increase in percent body fat.

Thesis (M.A. (Human Movement Sciences))--North-West University, Potchefstroom Campus, 2008.

Thesis (M.A. (Human Movement Sciences))--North-West University, Potchefstroom Campus, 2008.

Thesis (M.A. (Human Movement Sciences))--North-West University, Potchefstroom Campus, 2008.

No description available.