Weight gain in first-semester university students: Positive sleep and diet practices associated with protective effects

A pilot study of the contribution of energy-dense Caribbean diets to acrylamide exposure with associated health risks for a population of university students in Trinidad and Tobago

Previous studies on university students have indicated a significant decline in the consumption of fruits and vegetables complemented by an increase in energy-dense foods. The food toxicant, acrylamide, typically occurs in carbohydrate-rich, energy-dense foods that have been heated. Hence, this work presents an estimated dietary acrylamide exposure for university students in Trinidad and Tobago. A 2-day dietary recall method was used to obtain the food consumption information from 683 university students of differing sociodemographic backgrounds. The acrylamide exposure was estimated using a deterministic approach. The median acrylamide intake was estimated to be 1.39 µg/kg bw/day. The estimated mean acrylamide dietary intakes for the female and male population were 1.40 and 1.37 µg/kg bw/day, respectively. Coffee was determined to be the major dietary contributor to acrylamide exposure. However, bread was the food item that was most frequently consumed among the students. Using multiple linear regression, a possible correlation was detected between the acrylamide exposure and these variables: dietary habits (mostly eat out; p < 0.05), and Indian ethnicity (p < 0.10). Using the margin of exposure approach, dietary acrylamide exposure was found to be a health concern with regards to neurotoxicity and carcinogenicity. An evaluation of the procedures and results from this pilot study was carried out for the potential of conducting a full-scale research project.

Impact of Medical School on the Relationship between Nutritional Knowledge and Sleep Quality-A Longitudinal Study of Students at Wroclaw Medical University in Poland

The aim of this study was to investigate the impact of the first year of medical school on the relationship between nutritional knowledge and sleep. To achieve this, first-year medical students at Wroclaw Medical University were invited to participate in the study during both the initial and final months of their first academic year. The study included 570 students in the initial period and 705 in the latter. The research questionnaire comprised the KomPAN, assessing nutritional knowledge, and the Pittsburgh Sleep Quality Index (PSQI), evaluating sleep quality. The majority of students demonstrated at least sufficient nutritional knowledge, while approximately two-thirds of students experienced poor sleep in both periods. Notably, sleep quality further deteriorated in the second period (PSQI total score: 6.86 vs. 7.38, p = 0.0157). This change was influenced mainly by a decrease in sleep duration and an increase in the use of sleep medications (both p < 0.0001). The significant difference in overall sleep quality between different nutritional knowledge levels emerged only in the second semester, where students with the highest nutritional knowledge slept the best, while those with the lowest slept the worst (p = 0.0001). Crucially, in both periods, the use of sleep medications was highest among individuals with insufficient nutritional knowledge. Throughout the academic year, the usage increased for all except those with the highest nutritional knowledge, who exhibited the best sleep (p < 0.0001). The escalating use of sleep medications among medical students warrants greater attention, and leveraging the relationship between nutritional knowledge and sleep could prove beneficial, as positive habits in one domain may positively influence the other.

Comparing mental health and well-being of US undergraduate and graduate students during the early stages of the COVID-19 pandemic

Objective: This study explored how COVID-related mental health and well-being varied between undergraduate and graduate students. Relationships with physical health behaviors were also examined. Participants: Undergraduate (n = 897) and graduate (n = 314) students were recruited from three US universities between mid-April and late-May 2020. Methods: Participants in this cross-sectional survey self-reported perceived stress, financial stress, resilience, repetitive negative thinking, mood, anxiety, diet, sleep, and physical activity using validated instruments. Results: Undergraduate students reported more perceived stress, more repetitive negative thinking, less positive mood, and less support from professors than graduate students. Perceived stress, repetitive negative thinking, negative mood, and anxiety increased among all students (p < .05 for all). Correlations between mental health outcomes and physical health behaviors were weak to moderate (r = .08 to .49). Conclusions: College students, particularly undergraduates, perceived negative mental health impacts during COVID. Creative approaches for meeting student needs are necessary.

Exploring the effects of a mindfulness-based intervention in university students: MindKinder adult version program (MK-A)

This study aimed to evaluate the effects of the mindfulness-based intervention MindKinder Adult version (MK-A) program on dispositional mindfulness, trait emotional intelligence, mental health, and emotional regulation difficulties in university students. A quasi-experimental design of repeated measures pretest-posttest with a control group was used. The sample consisted of 137 university students (67.9% women, with a mean age of 19.94 years). Participants were randomly assigned to the experimental group (n = 69) and the control group (n = 68). Results showed that the program stimulated a significant improvement in dispositional mindfulness, describing, non-reactivity, trait emotional intelligence, mental health and emotional confusion in the experimental group. Given the obtained results, we consider the importance and incorporation of these mindfulness-based programs in university students. Due to the general characteristics of this population, having resources that lead to improvements, such as those obtained in this study, can be of great help since, in general, we find ourselves in a context, the university, in which students are subject to high levels of stress and anxiety. Finally, the implications of these findings are discussed.

Health behavior changes associated with weight gain among first-year international students studying at an American university

Objectives: To characterize the health behaviors and outcomes of first-year international students (FYIS) studying in the U.S. Participants and methods: Three different cohorts of FYIS from a large midwestern university in the U.S. completed three laboratory visits between August and March. The study began in 2017 and ended in March 2020. Anthropometrics, acculturative stress, eating behaviors, sleep, physical activity, and eating habits were assessed. Results: Fifty-four students completed the study. Females had a significant increase in percent body fat (p = .036) and a decrease in sleep quality (p = .006) at the final visit vs. baseline, and uncontrolled (p = .006) and emotional (p < .001) eating behaviors were higher. FYIS who gained more than the median 1.2 kg over the study period experienced higher acculturative stress (p = .004) and a decline in sleep quality (p = .003). Conclusion: Reducing acculturative stress and improving sleep quality should be explored as interventions to protect against undesirable changes in adiposity among FYIS.

Adverse childhood experiences and sleep difficulties among young adult college students

Although adverse childhood experiences (traumatic events such as maltreatment and household dysfunction) are associated with increased risk for sleep difficulties among adults, the association between adverse childhood experiences and poor sleep health among young adult college populations is understudied. This study examined the adverse childhood experience-sleep health (self-reported sleep difficulty and diagnosis of insomnia or "other" sleep disorder) association among college students. Data are from the 2018/2019 American College Health Association-National College Health Assessment II (ACHA-NCHA-II) survey administered at public universities in California (n = 3606) and Texas (n = 407). Logistic regression models investigated the relative effect of adverse childhood experiences (maltreatment only, household dysfunction only, and maltreatment + household dysfunction) on three sleep health indicators. Approximately 40% of the sample reported adverse childhood experiences: 11% maltreatment only, 14% household dysfunction only, and 17% both. Compared with students with no adverse childhood experience history, students who reported only household dysfunction or only maltreatment had higher odds of experiencing sleep difficulty in the past year [adjusted odds ratios: 1.52-2.40; 95% confidence intervals: 1.26-2.97]. Additionally, students who reported maltreatment only had 2.47 times the odds of receiving an insomnia diagnosis [95% confidence interval: 1.52, 4.01]. However, students who reported both had higher odds of all three sleep health indicators: past-year sleep difficulty, insomnia diagnosis, and "other" sleep disorder diagnosis [adjusted odds ratios: 2.53-3.10; 95% confidence intervals: 1.51-4.66]. Sleep is an important facet of health among the college student population, and plays a crucial role in overall well-being, psychosocial processes, attention and academic success. Results point toward a need for sleep health programmes and interventions on college campuses focused on healthy sleep behaviours in order to mitigate further negative health effects.

Exercise preferences among emerging adults: Do men and women want different things?

The purpose of this study was to examine exercise preferences of college students (CS), and explore potential gender differences to inform interventions. Participants (N = 187, 18-25 years) completed an online survey. Descriptive statistics were conducted to characterize preferences for exercise type and mode of delivery, followed by χ² tests to assess potential gender differences. CS preferred a combination of moderate intensity cardio and strength training. Most CS preferred exercising on their own with guidance from a program. Men preferred intense strength training at higher rates than women (p < .001). Findings can inform tailored recruitment messaging and lifestyle interventions for this high-risk population.

How Relevant Is the Place Where First-Year College Students Live in Relation to the Increase in Body Mass Index?

(1) Objective: This study analyzes the evolution of the body mass index (BMI) throughout the academic year associated with changes in the lifestyle associated with the place where students live during the course, lifestyle design, and health strategies for the university community. (2) Methods: A total of 93 first-year nursing students participated in this study. Data were collected throughout the course by administering self-reported questionnaires about eating habits and lifestyles, weight, and height to calculate their BMI and place of residence throughout the course. Data were analyzed using statistical analysis (Mann–Whitney, chi-square, Student’s t-test, repeated-measures analysis of variance, and least significant difference tests). (3) Results: We found that the mean BMI increases significantly throughout the course among all students regardless of sex, age, eating habits, or where they live during the course. At the beginning of the course, the mean BMI was 22.10 ± 3.64. The mean difference between the beginning of the course and the middle has a value of p-value < 0.015 and between the middle of the course and the end a p-value < 0.009. The group that increased the most is found among students who continue to live in the family nucleus rather than those who live alone or in residence. Students significantly changed their eating and health habits, especially those who live alone or in residence. (4) Conclusions: There is an increase in BMI among students. It is necessary to carry out seminars or talks that can help students understand the importance of good eating practices and healthy habits to maintain their weight and, therefore, their health, in the short, medium, and long term and acquire a good quality of life.

Annual, seasonal, cultural and vacation patterns in sleep, sedentary behaviour and physical activity: a systematic review and meta-analysis

Background

Time spent in daily activities (sleep, sedentary behaviour and physical activity) has important consequences for health and wellbeing. The amount of time spent varies from day to day, yet little is known about the temporal nature of daily activity patterns in adults. The aim of this review is to identify the annual rhythms of daily activity behaviours in healthy adults and explore what temporal factors appear to influence these rhythms.

Methods

Six online databases were searched for cohort studies exploring within-year temporal patterns (e.g. season effects, vacation, cultural festivals) in sleep, sedentary behaviour or physical activity in healthy 18 to 65-year-old adults. Screening, data extraction, and risk of bias scoring were performed in duplicate. Extracted data was presented as mean daily minutes of each activity type, with transformations performed as needed. Where possible, meta-analyses were performed using random effect models to calculate standardised mean differences (SMD).

Results

Of the 7009 articles identified, 17 studies were included. Studies were published between 2003 and 2019, representing 14 countries and 1951 participants, addressing variation in daily activities across season (n = 11), Ramadan (n = 4), vacation (n = 1) and daylight savings time transitions (n = 1). Meta-analyses suggested evidence of seasonal variation in activity patterns, with sleep highest in autumn (+ 12 min); sedentary behaviour highest in winter (+ 19 min); light physical activity highest in summer (+ 19 min); and moderate-to-vigorous physical activity highest in summer (+ 2 min) when compared to the yearly mean. These trends were significant for light physical activity in winter (SMD = − 0.03, 95% CI − 0.58 to − 0.01, P = 0.04). Sleep appeared 64 min less during, compared to outside Ramadan (non-significant). Narrative analyses for the impact of vacation and daylight savings suggested that light physical activity is higher during vacation and that sleep increases after the spring daylight savings transition, and decreases after the autumn transition.

Conclusions

Research into temporal patterns in activity behaviours is scarce. Existing evidence suggests that seasonal changes and periodic changes to usual routine, such as observing religious events, may influence activity behaviours across the year. Further research measuring 24-h time use and exploring a wider variety of temporal factors is needed.

Changes in Season Affect Body Weight, Physical Activity, Food Intake, and Sleep in Female College Students: A Preliminary Study

The current study examined how body weight and lifestyle fluctuate between spring, autumn, and winter in Japanese female college students and whether weight gain is associated with changes in physical activity, food intake, and sleep. We measured body weight and lifestyle factors in 31 participants from May 2017 to January 2018. Weight was measured daily in participants’ homes. Physical activity and sleep were measured for three weeks in three seasons using two accelerometers. Food intake was assessed using a validated food frequency questionnaire. Body weight significantly decreased in autumn compared with spring (p < 0.001). Body weight in winter tended to increase compared with autumn (p = 0.052). Step counts and energy intake were significantly different between seasons (p < 0.05). Total time in bed was not significantly different between seasons. In comparisons of changes in lifestyle patterns from autumn to winter between the weight gain (≥0.5 kg) and weight maintenance groups, seasonal changes in lifestyle factors were not significantly different between groups (p > 0.05). The results indicated that body weight and lifestyle were affected by seasonal variability in female college students, but no significant relationships existed between seasonal weight gain and changes in lifestyle patterns.

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.