The Freshman 15—A Closer Look

Abstract

Objectives and Participants: Changes in body weight, composition, and size were examined in college freshmen at the beginning (initial, n = 240) and end of fall semester 2007 (n = 214) and the end of spring semester 2008 (n = 205). Methods: Height, weight, body composition, and waist and hip measurements were assessed. Results: Mean weight, body mass index (BMI), absolute and percent body fat all increased significantly over fall semester and the academic year. About 31% of freshmen lost ≥5 lbs. Mean academic year weight gain was 2.6 lbs (entire group) and 6.0 lbs (weight gainers); body fat increased by 4.4 lbs in the weight gainers. A significant correlation (r = .509) was found between weight change and waist circumference change, but not between weight change and waist to hip ratio change. Conclusions: Freshmen weight gain is associated with increases in body fat and waist circumference, which may be troublesome should the trend continue throughout college.     

Selected Health Behaviors That Influence College Freshman Weight Change

Objective and Participants: The authors investigated the effect of physical activity (PA), fruit and vegetable intake, and alcohol use on 6-month weight change in 193 college freshmen (78.8% white, 88.2% women, 94.5% on a meal plan). Methods: The authors administered a Web-based survey in fall 2002 (baseline) and spring 2003 (follow-up). Results: There was an overall average weight gain of 2.5 lbs (p < .05), although only 57% reported weight gain (M = 7.1 lbs). Fruit and vegetable intake decreased (p = .034), alcohol use increased (p > .05), and PA was unchanged. Weight gain for students with body mass indexes (BMI) ≥25 kg/m² was nearly twice that of students with BMIs < 25 (p < .05). Students with low-frequency baseline PA were twice as likely to be overweight. Follow-up data showed that students reporting ≥ 4 sessions per week (ie, high frequency) of low-intensity PA were twice as likely to have healthy BMIs as students engaging in low- and moderate-frequency PA. Conclusions: PA interventions should target freshmen with BMIs ≥ 25.     

Racial/ethnic differences in body weight perception among U.S. college students

Objective: To examine racial/ethnic differences in weight perception by sex among U.S. college students. Participants: a national sample (N = 70,267) of college students selected from 2- and 4-year postsecondary institutions (N = 62) during the Fall semester from 2011 to 2014. Methods: This is a secondary data analysis using 4 years of American College Health Association-National College Health Assessment IIb data. Sex-stratified multinomial logistic regression was performed to investigate racial/ethnic differences in body weight perception. Results: Compared with non-Hispanic whites, non-Hispanic black men and women were more likely to underestimate their body weight (p < .01). Asian men and women were more likely to overestimate their body weight than non-Hispanic whites (p < .001). Conclusions: Weight-related interventions should take into account racial/ethnic differences in body weight perception.     

Freshmen Women and the “Freshman 15”: Perspectives on Prevalence and Causes of College Weight Gain

Abstract

Objective: Freshman weight gain has been assessed using quantitative inquiry, but this qualitative study allowed for an in-depth exploration of freshmen women's experiences surrounding body image, nutrition, and exercise. The purpose of this study was to better understand the impact and explanations for the “Freshman 15.” Participants: Freshmen college women, aged 18 to 19 years. Methods: Participants (N = 235) were initially surveyed about body dissatisfaction. Thirty participants were selected for semistructured interviews (conducted in March 2008) using a criterion-based, multilevel stratified random sampling. Results: Freshmen women reported intense fears about gaining weight. Women most commonly attributed freshman weight gain to newly found food independence, social comparison with peers, and the influence of friends and family. Women frequently cited eating habit changes to explain college weight gain. Conclusions: Comparison among females was framed using Festinger's social comparison theory. Despite being cautious about food, females described freshman weight gain as inevitable.     

Tracking weight change,insulin resistance,stress, and aerobic fitness over 4 years of college

Objective: To determine if weight gain is accompanied by development of insulin resistance (IR) during 4 years in college. Participants: Two cohorts of college students were enrolled in fall semesters 2009 and 2010 and tracked for 4 years. Methods: Following a 12-hour fast, subjects reported for measurement of body mass index (BMI), perceived stress (PSS), aerobic fitness, and blood glucose, insulin, and lipids. Results: In the first year, 33% of subjects were overweight or obese, and 20% were hyperinsulinemic. Year 4 had 29 remaining subjects with disproportionate attrition of overweight and obese individuals. Just over half the subjects gained weight (WI), whereas nearly 30% lost considerable amounts (WD). WD showed significant decline in fasting insulin, low-density lipoprotein (LDL) cholesterol, and PSS from year 1. WI was primarily highly fit men who did not demonstrate increased IR. Conclusion: WI was not associated with IR over 4 years of college.     

The Freshman 15: Is it Real?

Objective: The belief that college students gain 15 Ibs during freshman year is widespread, yet the evidence for this is limited. The authors aimed to determine whether college students gain weight during freshman year. Participants: The authors studied unmarried freshmen living on-campus at a private university in the northeastern United States. Methods: The authors used an online survey to collect information about social behaviors and weight. Results: The authors observed an average weight gain of 2.7 Ibs. About half of the students gained weight, and 15% lost weight. Men gained more weight than did women. Conclusions: Freshman weight gain was 5.5 times greater than that experienced by the general population.     

Alternative Medicine and Herbal Use Among University Students

Abstract

Objective: This study sought to (1) examine perceived stress and resources to cope with stress as predictors of emotional eating during the transition to college and (2) determine whether body mass index (BMI) moderated the emotional eating-stress relationship. Participants: Participants were 97 college freshmen (73% female; BMI: M = 25.3 kg/m², SD = 5.7 kg/m²). Research was conducted in September 2012. Methods: Participants completed the Perceived Stress Scale, Emotional Eating Scale, and Eating and Appraisal Due to Emotions and Stress Questionnaire during the first month of college. Height and weight were measured objectively. Results: BMI moderated the relationship between perceived stress and emotional eating. Higher stress predicted greater emotional eating for the lower BMI groups, but not the highest group. Greater resources to cope with stress predicted lower emotional eating. Conclusions: Greater perceived stress and poorer resources to cope with stress may contribute to emotional eating during the transition to college. The relationship between perceived stress and emotional eating may vary by BMI.     

Influence of physical activity on weight status during the first year of college

Abstract

Objective: To provide an analysis of weight change in response to physical activity levels among first year college students. Participants: First year students (N?=?114) participated during the 2012–2013 academic year. Methods: Using a web-based survey, researchers gathered information on physical activity and weight at three points: twice throughout the fall and once at the end of the spring semesters. Results: Over half (56.25%) of respondents reported weight gain (between 0.45 and 13.61?kg) from baseline to 9-month follow-up. Weight gainers reported an average gain of 4.20?kg. More than half of participants were not meeting minimal recommendations for cardiorespiratory fitness (59.5%) and strength (53.2%) by the end of the first year of college. Conclusion: This research provides support for intervention and implementation of strategies to promote self-regulation in college students during the transition to college. Addressing the importance of physical activity in weight maintenance is beneficial to first year students’ well-being.     

Weight Loss Practices and Body Weight Perceptions Among US College Students

Objective: The authors assessed associations between body weight perception and weight loss strategies. Participants: They randomly selected male and female college students (N = 38,204). Methods: The authors conducted a secondary data analysis of the rates of weight loss strategies and body weight perception among students who completed the National College Health Assessment survey. Results: Half of respondents (50%) were trying to lose weight, although only 28% of students were overweight or obese. Also, 12% of respondents had inaccurate body weight perception. Women and men with inaccurate body weight perception were significantly more likely to engage in inappropriate weight loss strategies than were those with accurate body weight perception. Of all students attempting to lose weight, 38% used both diet and exercise. Conclusions: These data show that college students are interested in weight loss and that body weight perception plays an important role in the desire to lose weight.     

“They Just Whisper in Their Hearts That He's Doing a Bad Thing”: A Qualitative Study of Tanzanian Perceptions of Cross-Generational Sex

HIV prevalence among young Tanzanian women is twice that of men, and risk doubles if a partner is ten or more years older. Cross-generational sex (CGS) is typified by transactions, economic asymmetries, power differentials, and inconsistent condom use. By investigating perceptions of CGS in families, schools, and communities, this study explored the role each plays in addressing or condoning CGS and where interventions are needed. Qualitative data were collected in Tanzania's Iringa and Pwani regions after a campaign to reduce CGS. Community leaders suggested key informants and provided household lists used to randomly select participants. Individual interviews were conducted with 20 women (M age = 20.7, SD = 3.1, range = 15 to 26) and 20 men (M age = 37.1, SD = 7.3, range = 30 to 56), focus groups with 15 women (M age = 20.4, SD = 2.9, range = 17 to 25) and 26 men (M age = 39.2, SD = 7.9, range = 30 to 55), and key informant focus groups with 10 women (M age = 47.6, SD = 10, range = 37 to 70) and 16 men (M age = 55.5, SD = 9.5, range = 37 to 67). CGS was viewed as detrimental to girls' education and a financial loss to parents, but barriers, including reluctance to approach parents and older men, prevented community action. Interventions may involve community leaders transcending restrictions on confronting older men and promoting communication between teachers, communities, parents, and young women regarding CGS.     

Body Size and Sexual Behavior in a Community-Based Sample of Women

ABSTRACT. Women's body size is closely related to their social and sexual experiences. Clinical research has found that women's lifetime sexual behaviors may vary based on body mass index (BMI). Objectives: This study examined the relationship between BMI and recent solo and partnered sexual repertoire in a community-based, non-clinical sample of women. Methods: Two hundred thirty-eight sexually active women completed an online survey measuring age, sexual relationship status, BMI, gender of sexual partners, and engagement in sexual behaviors in the previous 4 weeks. Logistic regression analyses were conducted to determine whether BMI predicted engagement in behaviors after controlling for age and sexual relationship variables. Results: Participant age ranged from 18 to 56 years (M = 30.4, SD = 7.8). Participants were predominantly in exclusive sexual relationships (62.9%, n = 146) with men (82.8%, n = 197). Mean BMI for the sample was 29.33 (SD = 9.28). Participation in self-masturbation, masturbating a partner, performing oral sex on a partner, receiving oral sex from a partner, and penile–vaginal intercourse were not predicted by BMI after controlling for age and partner variables. Conclusions: BMI did not impact sexual repertoire during the previous 4 weeks, with the exception of an increased odds ratio for penile–anal intercourse (OR = 1.06; 95% CI [1.02, 1.10]). Researchers and practitioners working with women should not assume limitations on women's sexual repertoires because of larger body size.     

Normative Beliefs as Risk Factors for Involvement in Unhealthy Weight Control Behavior

Objective: The authors' aim in this study was to determine, after adjustment for the effects of body mass index and sociodemographic measures, whether sex-specific weight control norms would have significant independent relationships with the weight control behavior of college women and men. Participants: The authors used an anonymous questionnaire to assess a sample of 470 college students, aged 18 to 26 years, attending either a 2- year community college or a 4-year public university. Methods: To calculate body mass index, the authors objectively measured the height and weight of each participant. They conducted separate discriminant function analyses for women and men. Results: The discriminant function analyses clearly indicated that weight control norms of same-sex, close friends were the best discriminators of involvement in weight control. Conclusions: The findings indicate that perceived peer norms may be important but overlooked risk factors for engaging in unhealthy weight control practices. The authors discuss the implications of these findings in the context of student health promotion.     

Behavior Change and the Freshman 15: Tracking Physical Activity and Dietary Patterns in 1st-Year University Women

Objective and Participants: The authors assessed the stability of diet and physical activity and their relationship to weight changes in first-year university women. Methods: They collected anthropometric and body composition data from 101 resident women at the beginning of their first year of college and again at 12 months. The authors obtained physical activity and dietary logs 4 times throughout the year. Results: Caloric intake decreased over 12 months in all participants (p = .01). There was little change in physical activity in participants who lost weight (p = .73, d = .18). Those who gained weight experienced a trend toward decreased physical activity (p = .13, d = .38). A significant Time X Group interaction on physical activity (p = .04) suggests that physical activity patterns differed substantially between individuals who gained weight and those who lost weight. Conclusions: Reduction in physical activity appears to be the defining characteristic in freshman weight gain.     

Predicting 1-Year Change in Body Mass Index Among College Students

Objective: Despite beliefs about weight gain in college, few researchers have evaluated this phenomenon. Participants: Participants were 18- to 31-year-old students at a midwestern university. The dependent variable was body mass index (BMI) change. Methods: The authors extracted predictor variables from a Health Risk Appraisal. These included clinical, medical history, medical usage, medications, pain or chronic conditions, perceptual measures, and behavioral factors. The authors performed an ordinal regression technique separately by gender. Results: No predictors were significant for men. Women in the BMI gain group were (1) more likely to consume alcohol, use maladaptive coping behaviors, eat foods low in fiber, and consume caffeine; and (2) less likely to be stress-free, to eat cruciferous vegetables, and to refrain from eating high-cholesterol foods. Conclusions: The lack of research on predictors of and interventions for reducing BMI gain among college students warrants more research.     

Female Collegiate Athletes: Prevalence of Eating Disorders and Disordered Eating Behaviors

Objective: The authors assessed the prevalence of pathogenic eating and weight-control behaviors among female college athletes, using a psychometrically valid measure. Participants: Participants were 204 college athletes (M age = 20.16 years, SD = 1.31 years) from 17 sports at 3 universities. On average, they participated in their sport for 10.88 years (SD = 16.68 years) and on their college team for 2.10 years (SD = 1.03 years). Methods: Participants completed a demographic and weight background questionnaire, Questionnaire for Eating Disorder Diagnoses, and the Bulimia Test-Revised. Results: The authors classified participants as eating disordered (n = 4, 2.0%), symptomatic (n = 52, 25.5%), and asymptomatic (n = 148, 72.5%). Few participants engaged in binge eating; most used exercise, as opposed to vomiting, dieting, laxatives, or diuretics, to control their weight. Conclusions: Female athletes suffer from eating disorders, and most experience symptom levels that are subclinical but problematic.     

Selected health behaviors that influence college freshman weight change

OBJECTIVE AND PARTICIPANTS: The authors investigated the effect of physical activity (PA), fruit and vegetable intake, and alcohol use on 6-month weight change in 193 college freshmen (78.8% white, 88.2% women, 94.5% on a meal plan). METHODS: The authors administered a Web-based survey in fall 2002 (baseline) and spring 2003 (follow-up). RESULTS: There was an overall average weight gain of 2.5 lbs (p < .05), although only 57% reported weight gain (M = 7.1 lbs). Fruit and vegetable intake decreased (p = .034), alcohol use increased (p > .05), and PA was unchanged. Weight gain for students with body mass indexes (BMI) > or =25 kg/m2 was nearly twice that of students with BMIs < 25 (p < .05). Students with low-frequency baseline PA were twice as likely to be overweight. Follow-up data showed that students reporting > or = 4 sessions per week (ie, high frequency) of low-intensity PA were twice as likely to have healthy BMIs as students engaging in low- and moderate-frequency PA. CONCLUSIONS: PA interventions should target freshmen with BMIs > or = 25.     

Anthropometric and Behavioral Measures Related to Mindfulness in College Students

Abstract

Objective: To determine whether mindfulness is associated with physical and behavioral measures in first semester college students. Participants: Male and female first year college students (n = 75) from the University of Rhode Island. Methods: Height, weight, waist circumference (WC), and blood pressure were assessed and online questionnaires were completed. Independent t tests and Pearson correlations were utilized for analysis. Results: The less mindful group had a higher WC than the more mindful group. Correlations were seen between mindfulness and weight-related behaviors. Conclusions: Mindfulness can impact health status of first year college students, particularly with behavioral measures that have been found to effect weight status. However, additional research is needed focusing on mindfulness as a potential weight gain prevention technique for first year college students in order to decrease chronic disease prevalence.     

Validation of the Postpartum Social Support Questionnaire in low-income,African American women

ABSTRACT

This study applied a previously developed Postpartum Social Support Questionnaire to low-income, African American women. The 33-question survey was administered to 95 African American women between 4- and 8-weeks postpartum. The survey was readministered 2 weeks later. All women were of low socioeconomic status based on their qualification for public insurance. The questionnaire addresses subscales of partner, parent, in-law, and other friend/relative support. Responses were used to evaluate internal reliability of each subscale, test–retest correlation, and factor loading. Results were compared between women with and without a positive postpartum depression screen. Cronbach's alpha coefficients for each subscale ranged from .90 to .96. Test-retest correlation coefficients ranged from .72 to .87. Exploratory factor analysis with orthogonal varimax rotation was consistent with previously studied samples. Those women with positive postpartum depression screens had significantly lower social support scores (M = 122, SD = 36) than women with negative postpartum depression screens (M = 149, SD = 38), t(79) = ?2.62, p = .01. The Postpartum Social Support Questionnaire is a useful assessment in low-income, African American mothers.     

The ‘Freshman 5’: A Meta-Analysis of Weight Gain in the Freshman Year of College

Abstract

Objective: (1) To use the available research to estimate the amount of weight gained by college freshman during their first year of college. (2) To identify potential predictors of freshman weight gain. Methods: A meta-analysis was conducted in November 2008. The analysis focused on articles published in English scientific journals between 1985 and 2008 available on the MEDLINE, Web of Science, and PsycINFO databases and excluded studies of weight change over periods beyond freshman year. Results: Twenty-four studies met the inclusion criteria. Based on a pooled sample of 3,401 cases, mean weight gain was 3.86 (95% confidence intervals [CI] = 3.81–3.91) lbs. Potential contributors to gain were recent dieting, high baseline weight, and psychological stress. Conclusions: The first year of college is a period of vulnerability for weight problems. Further research is needed to better understand freshman weight gain and devise appropriate prevention strategies based on predictors of gain.     

Alcohol use and strenuous physical activity in college students: A longitudinal test of 2 explanatory models of health behavior

Objective: To help clarify the effect of gender on the bidirectional relationship between alcohol use and strenuous physical activity in college students. Participants: Five hundred twenty-four (52% female) college students recruited in August 2008 and 2009 and followed up in April 2009 and April 2011, respectively. Methods: Participants reported their alcohol use and strenuous physical activity on 2 occasions (baseline and follow-up) spaced approximately 1 or 2 years apart. Results: For females, alcohol use quantity at baseline was associated with increased strenuous physical activity at 1- and 2-year follow-ups, and alcohol use frequency at baseline was associated with decreased strenuous physical activity at 2-year follow-up. For males, alcohol use frequency at baseline predicted decreased strenuous physical activity at 1-year follow-up. Conclusions: Gender differences may be explained from an eating disorders perspective such that women use physical activity as a compensatory strategy to combat potential weight gain from calories consumed during alcohol use.