Article

Changes in body weight, composition, and shape: a 4-year study of college students

a Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, 101 Poultry Science Bldg, AL 36849, USA.
Applied Physiology Nutrition and Metabolism (Impact Factor: 2.23). 09/2012; 37(6). DOI: 10.1139/h2012-139
Source: PubMed

ABSTRACT The objectives of this study were to examine changes in body weight, body mass index (BMI), body composition, and shape in a group of male and female students over the 4-year college period. Anthropometric assessments including height and weight (via standard techniques), body composition (via bioelectrical impedance analysis), and body shape (via 3-dimensional body scanning) were conducted at the beginning of the freshman year and end of the senior year in 131 college students. Four-year changes included significant (p < 0.0001) gains in weight (3.0 kg), BMI (1.0 kg·m(-2)), body fat (3.6%), and absolute fat mass (3.2 kg). Males gained significantly (p < 0.0001) greater amounts of weight, BMI, percent and absolute fat mass, and fat-free mass than females. Weight change ranged from (-)8.7 to (+)16.8 kg. About 70% of the participants gained weight, which averaged 5.3 kg; significant (p < 0.0001) gains in BMI, fat-free mass, absolute fat mass, and percent body fat and significant (p < 0.0005) increases in neck, chest-bust, waist, hips, seat, and biceps circumferences were also observed in this weight gain group. The percentage of participants classified as overweight-obese increased from 18% to 31%. The number of females and males with ≥30% and 20% body fat, respectively, increased from n = 14 to n = 26 (with n = 4 exhibiting normal weight obesity) over the 4-year period. The waist circumference changes were significantly (p < 0.0001) correlated with both weight and percent body fat changes. In conclusion, the increasing prevalence of obesity and normal weight obesity among this college population suggests the need for additional health promotion strategies on college campuses.

Full-text

Available from: Karla P Simmons, Mar 19, 2015
0 Followers
 · 
234 Views
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: The aim of this study was to analyze the characteristics of body proportions and fitness of male and female university students. A total of 67 subjects participated at the study. Based on ten anthropometric measurements, six proportional ratios were calculated as three fitness tests too. Findings indicate significant differences between groups for four proportional ratios and two physical tests. Additionally, Pearson correlation shows some relationships between ratios and physical fitness characteristics. The results of the study indicate that proportional ratios influence the fitness characteristics by gender.
    Procedia - Social and Behavioral Sciences 09/2014; 149. DOI:10.1016/j.sbspro.2014.08.315
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: To examine the effectiveness of interventions aimed at improving physical activity, diet, and/or weight-related behaviors amongst university/college students. Five online databases were searched (January 1970 to April 2014). Experimental study designs were eligible for inclusion. Data extraction was performed by one reviewer using a standardized form developed by the researchers and checked by a second reviewer. Data were described in a narrative synthesis and meta-analyses were conducted when appropriate. Study quality was also established. Forty-one studies were included; of these, 34 reported significant improvements in one of the key outcomes. Of the studies examining physical activity 18/29 yielded significant results, with meta-analysis demonstrating significant increases in moderate physical activity in intervention groups compared to control. Of the studies examining nutrition, 12/24 reported significantly improved outcomes; only 4/12 assessing weight loss outcomes found significant weight reduction. This appears to be the first systematic review of physical activity, diet and weight loss interventions targeting university and college students. Tertiary institutions are appropriate settings for implementing and evaluating lifestyle interventions, however more research is needed to improve such strategies. Electronic supplementary material The online version of this article (doi:10.1186/s12966-015-0203-7) contains supplementary material, which is available to authorized users.
    International Journal of Behavioral Nutrition and Physical Activity 04/2015; 12. DOI:10.1186/s12966-015-0203-7 · 3.68 Impact Factor
  • Source
    [Show abstract] [Hide abstract]
    ABSTRACT: Identifying predictors of future weight gain is important in obesity prevention efforts. Both family history of obesity and personal dieting history have been established as predictors of future weight gain; however, it is unknown if they are independent or overlapping predictors. The purpose of this study was to examine the degree of overlap between these two predictors using cross-sectional data. Baseline data from four studies were examined separately and in combination for a total of 561 female participants, and analyses were conducted to examine parent anthropometric variables by dieting status within and across studies. All participants were female university students between the ages of 17 and 30. For each study, as well as for the entire sample combined, parent anthropometric variables were examined by dieting status using factorial ANOVAs. No meaningful pattern was found when examining parent anthropometric variables by dieting status, which suggests that the two risk factors are largely independent. This suggests that the processes associated with the development of future weight gain by each variable are different; therefore, future research should use a longitudinal study to test the hypothesis that using both variables to predict future weight gain would account for more variance than using either variable alone. Copyright © 2015 Elsevier Ltd. All rights reserved.
    Eating Behaviors 01/2015; 17C:144-148. DOI:10.1016/j.eatbeh.2015.01.002 · 1.58 Impact Factor