Changes in weight, body composition and physical fitness after 1.5 years at university

Longitudinal weight and body-composition changes in polish undergraduate students of health faculty

Objective: The study investigates the changes in body composition, dietary intake and physical activity of Polish health faculty undergraduates. Methods: 340 university students were measured at the beginning their studies. Subsequent measurements were performed at the beginning of the following academic years. In total, 82 men and 87 women were included in the analysis. The measurements included anthropometric parameters and the amount of consumed nutrients. Using Seven-Day Physical Activity Recall Questionnaire measured students' physical activity. Results: Across three years at university 65.1% of students showed an increase in body mass. Men displayed an increase in body weight (1.6 kg) and waist circumference (4.1 cm). Women's weight changed insignificantly. Participants' energy intake increased statistically significantly after the 1st year and decreased after the 2nd year. In men there was observed decline in energy expenditure between the 1st and 2nd year. Conclusion: Transitory unfavorable changes were observed in students' nutrition and physical activity.

Understanding changes in eating behavior during the transition to university from a self-determination theory perspective: a systematic review

Objective: The objective of this systematic review was to understand how and why eating behavior changes during the transition to university, and interpret findings from a self-determination theory perspective (Ryan & Deci, 2000). Methods: We searched six databases and identified 51 articles with findings involving changes in eating behavior during the transition to university. Results: During this transition, students eat less food, less healthy, and less regularly. These changes are mostly among students who move into a university residence or off-campus housing, with few changes in eating behavior among students who continue living at home. Yet, incoming students with food skills and experience living independently seem less likely to experience these changes. Conclusions: The university context offers challenges to eating healthy. Students' satisfaction of psychological needs may explain observed changes in habits, self-regulation, and motivation.

Body Composition and Physical Fitness: Does This Relationship Change in 4 Years in Young Adults?

(1) Background: There are few studies investigating the relationship between physical fitness and body composition in young adults and, to our knowledge, there are no such reports focusing specifically on physiotherapy students. This observational study aimed to assess the relationship between physical fitness and selected anthropometric measurements as well as body composition in Polish students in the first year and in the final year of a university course in physiotherapy. (2) Methods: A group of 100 randomly selected individuals were recruited among first- and fifth-year students of physiotherapy (50% women), who were assigned to two groups: A (aged 19 years) and B (aged 23 years). Body composition was assessed using a Tanita TBF-300 Analyzer, and physical fitness was measured using Zuchora’s Physical Fitness Index. (3) Results: A higher level of general fitness was identified in students from Group B (p = 0.0261), and lower values of the fat mass index was found in Group A (p = 0.0441). Group A was found with correlations between general level of physical fitness and the following indexes: fat% (R = −0.4; p = 0.0018), FM (R = −0.3; p = 0.0310), FFM (R = 0.3; p = 0.0229) and TBW (R = 0.4; p = 0.0024), whereas Group B was found with correlations between general physical fitness and BMI (R = 0.3; p = 0.0308) as well as FM index (R = 0.3; p = 0.0431). (4) Conclusions: The findings show significant differences between the groups in physical fitness, body composition and selected anthropometric measurements. Older students presented higher level of general fitness, whereas younger students were found with a lower mean value of fat index.

Questionnaire-Derived Sleep Habits and Academic Achievement in First Year University Students

This study aimed to determine the effect of sleep quantity and quality via the Pittsburgh Sleep Quality Index (PSQI) on students’ academic achievement in their first year of university study. In this cross-sectional study, 193 students (102 female, 91 male, mean ± SD; age = 19.3 ± 2.9 y) from an undergraduate Health degree in New Zealand completed the PSQI four weeks prior to the end of the semester in their first year of university study. Results from three core subjects in the first semester were averaged and correlations between the PSQI and academic success were evaluated using Spearman’s rho (ρ). The group were also trichotomized using a PSQI global score of ≤5 as the threshold for “good” sleepers (n = 62, 32%), a score of 5–8 for “moderate” sleepers (n = 63, 33%) and a score ≥8 to characterize “poor” sleepers (n = 68, 35%). Overall, students averaged 7 h 37 min of self-reported sleep duration with an average bedtime of 22:55 p.m. and wake time of 8:01 a.m. There was a significant, small inverse relationship between academic performance and bedtime (p = 0.03, ρ = −0.14), with those going to bed earlier having superior academic success. The trichotomized data demonstrated no significant differences in academic performance between students with poor, moderate and good sleep quality (p = 0.92). Later bedtimes were associated with lower academic performance in a group of first year university students. However, there were no other relationships observed between academic success and self-reported sleep quality or quantity as determined by the PSQI. Enhancing awareness of the impact of sleep timing on academic success should be prioritized and strategies to improve sleep hygiene should be promoted to university students.

Freshmen weight and body composition change determinants: A scoping review

Scoping review of freshmen weight and body composition change determinants in order to inform practice, policymaking, and research that improve health and well-being. Methods: A systematic search of the literature identified potential sources. Duplicates were removed before a title and abstract review. A full-text review was then conducted on the remaining sources. Retained sources were then reviewed systematically before synthesis. Results: Eighty-five sources were synthesized. Variation in study design, measurement, reporting, and analyses of determinants, in particular dietary characteristics and physical activity, complicate comparisons. Dietary characteristics and physical activity appear to influence freshmen weight and body composition changes, while evidence indicates alcohol consumption is associated with deleterious weight and body composition changes. Conclusions: Design, measurement, analyses, and reporting can be improved considerably to better examine relationship between body composition changes and determinants in order to provide insight into, and inform, interventions and policies to benefit students' health and well-being.

Identifying factors associated with obesity traits in undergraduate students: a scoping review

OBJECTIVES

This scoping review identifies factors associated with obesity traits including body mass index, weight, and body fat percentage in undergraduate students.

METHODS

We searched CINAHL, EMBASE, MEDLINE, and PsycINFO for original studies of undergraduate students where an obesity trait was associated with a risk factor.

RESULTS

Two-hundred sixty-eight articles were included comprising of 251 studies: 186 cross-sectional, 50 cohort, 11 interventional, and 4 qualitative. We extracted data on risk/protective factors, obesity traits, and the direction of effect between them. We identified a variety of factors including age, sex, ethnicity, socioeconomic status, religion, diet, eating habits, physical activity, sedentary activity, sleep, stress, university campus life, alcohol use, smoking, psychiatric disorders, body image, eating attitude, eating regulation, personality, sociocultural influences, and genetics. The majority of associations were cross-sectional. For longitudinal findings, usually only one study investigated each trait.

CONCLUSIONS

This review identifies a need for higher quality evidence to support results from cross-sectional studies and replication of findings of longitudinal studies. This review identifies gaps in the literature, generates hypotheses, guides researchers to plan future studies, and helps decision-makers design obesity-prevention programs in universities.

A systematic review of the methodology used to study weight change among young adults attending college

INTRODUCTION

Young adulthood is a sensitive developmental period that is high-risk for weight gain. Ample research has focused on weight gain among college students; however meta-analyses report <2 kg pooled estimates of weight gain, which is in the range of normal weight fluctuation, and there is disagreement in the literature regarding common predictors of weight gain. These limitations pose a major barrier to targeted obesity prevention efforts. The present study reviewed the literature assessing college weight gain with a focus on three methodological factors that could contribute to variability in the literature: 1) use of an evidence-supported definition of weight gain (>2 kg or ≥3%); 2) weight measurement protocols; and 3) including weight/BMI in analyses of predictors of weight change.

METHODS

Three databases were systematically searched. Studies were included in the review if the primary goal was to determine magnitude of weight change and/or test predictors of weight change during the academic year, and they reported weight at 2+ time points.

RESULTS

A total of 81 studies were included in the review. Most studies (90%; 73/81) did not use an evidence-supported definition of weight gain. Studies that used an evidence-supported definition reported estimates of gain among students who gained weight to be beyond the range of normal weight fluctuation (4.0-7.5 kg), and occurred in a subset (<32%) of participants. Studies that did not use an evidence-supported definition reported weight gain to be 2.0-4.5 kg, and occurred in the majority >50% of students. Most studies that measured height and weight (71%; 42/59) did not use a fasting protocol and the majority (63%; 37/59) did not conduct measurements at the same time of day. A higher percentage of studies that used a standardized measurement protocol reported weight change >2 kg (44% vs 20%). A lower percentage of studies that used a standardized measurement protocol had substantial variability in weight change estimates (50% vs 69%). The majority of studies that tested predictors of weight gain (74%; 42/57) included weight/BMI as a covariate in analyses.

CONCLUSIONS

The body of literature examining weight change among college students suffers from limitations that may have contributed to overestimations in the percent of students who gain weight, and simultaneous underestimations of the magnitude of weight gain among those who gain weight. Weight gain may be limited to approximately 30% of students in a sample, and weight gain among this subset of students may be substantial (>4 kg). Going forward, use of both an evidence-supported weight gain definition and fasting measurement protocol will likely enhance accuracy in characterizing weight gain among college students, as well as improve researchers' ability to detect important predictors of weight gain.

Changes in weight and body composition across five years at university: A prospective observational study

Objectives

The transition from high school to college or university has been shown to be a critical period for weight and fat gain. To date, no European data on weight and fat gain over the full trajectory of college or university are available. Therefore, the purpose of the present study was to investigate weight and fat gain among Belgian university students from freshman through senior year of university.

Methods

In this prospective observational study, a total of 340 university students were measured six times, i.e. at baseline (start of the first academic year) and at the start of the second semester of the first, second, third, fourth and fifth academic year. Objective measurements included body weight, height, body mass index (BMI), fat%, fat mass, fat free mass and waist circumference. Multilevel modelling was used to assess anthropometric changes over time according to sex.

Results

From freshman through senior year of university, individual weight changes ranged from -5.2 to +15.7kg, and respectively 77.4% and 69.3% of students showed increases in BMI and fat%. Stronger increases in weight and BMI were found for males (5.7kg; 1.6kg/m²; both p<0.001) than females (2.2kg; 0.8kg/m²; both p<0.001) over the 4.5 year measuring period. Similarly, waist circumference increased more in males (4.7cm; p<0.001) than in females (1.0cm; p<0.001). In contrast, females (2.5%; p<0.001) showed a higher increase in fat% than males (1.0%; p = 0.019). Across sexes, the highest weight and fat gains were found during the first semester and during the final year of university.

Conclusions

Belgian university students gain a significant amount of body weight and body fat from freshman through senior year of university. Similar to the first semester, more pronounced increases in weight and fat were observed during the final year of university. Interventions aiming at preventing weight gain at university should not only focus on freshmen but also on senior students.

An Examination of the “Freshman-15” in Germany

Abstract. The “Freshman-15” refers to an expected average weight gain of 15 pounds during the first year at college in US students. Although an overall weight gain during this period can be observed, most studies found that students gain less than 15 pounds on average. Studies in countries other than the US, however, are scarce. In the current study, 120 female freshmen at a German university were tested at the start of the first semester and again at the start of the second semester (after approximately 6 months). Body mass index (BMI) did not differ between measurements, but participants had 0.2% more body fat at the second measurement. Participants with higher BMI at the first measurement lost weight and participants with higher weight suppression (i.e., the difference between an individual’s highest previous weight and current weight) at the first measurement gained weight. Participants who reported to exercise regularly at the first measurement gained weight, but this effect was driven by those who reduced their amount of physical exercise during the first semester. Dietary habits and eating styles at the first measurement were not associated with weight change. To conclude, no evidence was found for an overall weight gain during the first semester in female, German students. Furthermore, weight change was exclusively predicted by BMI, weight suppression, and regular exercise, while eating behaviors were unrelated to weight change. Thus, it appears that variables influencing energy expenditure are more robust predictors of future weight gain than variables influencing energy intake in female freshmen.

Anthropometric Indicators of Adiposity Related to Body Weight and Body Shape as Cardiometabolic Risk Predictors in British Young Adults: Superiority of Waist-to-Height Ratio

Frequently reported poor dietary habits of young adults increase their risk of metabolic syndrome (MetS). Excess adiposity is the most established predictor of MetS, and numerous anthropometric measures have been proposed as proxy indicators of adiposity. We aimed to assess prevalence of MetS in young adult population and to make comparison between weight- and shape-oriented measures of adiposity to identify the best index in association with measured body fat and as a risk predictor for MetS. Healthy males and females aged 18-25 years from the Northwest of England were recruited using convenience sampling (n=550). As part of the assessment of the overall health of young adults, the biochemical variables and adiposity measures BMI, waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), new BMI, Body Adiposity Index (BAI), Clinica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE), and A Body Shape Index (ABSI) were assessed. Linear regression analysis was used to investigate the association between the proxy indices of adiposity and measured percentage body fat. The odds ratio with 95% confidence interval was used to investigate the relationship between cardiometabolic (CM) risk factors and proxy measures of adiposity. The discriminatory power of these measures for diagnosis of MetS was investigated using area under the receiver operating characteristic curve. Body weight-related indicators of adiposity, particularly CUN-BAE, had stronger association with measured body fat compared with body shape-related indices. In relation with MetS, body shape-related indices, particularly elevated WC and WHtR, had stronger associations with CM risk compared with body weight-related measures. Amongst all indices, the best predictor for CM risk was WHtR, while ABSI had the weakest correlation with body fat, MetS, and CM risk. Indices directly associated with WC and specifically WHtR had greater diagnostic power in detection of CM risk in young adults.