Eat, sleep, work, play: associations of weight status and health-related behaviors among young adult college students

A systematic review of observational studies exploring the relationship between health and non-weight-centric eating behaviours

Eating behaviour that does not centralise weight, otherwise known as weight-neutral, is associated with improved physical and psychological health, and greater health promoting behaviours. However, consolidated evidence is lacking. This study aimed to systematically evaluate 'health-centric' eating behaviour reflective of weight-neutral approaches, and their relationship with health (physical and mental) and health promoting behaviours. A systematic search was performed, identifying observational studies with adult populations, ≥1 physical/mental health outcome(s), and ≥1 validated measure(s) of health-centric eating behaviour. Study design, sample characteristics and outcomes were extracted and characterised into four domains. Our search identified 8281 records, with 86 studies, 75 unique datasets, and 78 unique exposures including 94,710 individuals. Eating behaviours included intuitive eating (n = 48), mindful eating (n = 19), and eating competence (n = 11). There were 298 outcomes identified for body composition, size, and physical health (n = 116), mental health and wellbeing (n = 123), health promoting behaviours (n = 51) and other eating behaviour (n = 8). Higher levels of intuitive eating, mindful eating and eating competence were significantly related to a lower BMI, better diet quality and greater physical activity. Higher intuitive and mindful eating were significantly related to lower levels of disordered eating, and depressive symptoms, and greater body image, self-compassion, and mindfulness. Greater eating competence and intuitive eating were significantly related to higher fruit and vegetable intake, and greater eating competence to higher fibre intake and better sleep quality. Our results demonstrate that 'health-centric' eating behaviours are related to a range of favourable health outcomes and engagement in health promoting behaviours. These findings help to enhance our understanding of eating behaviours that do not centre around body weight, providing support for health-centric eating behaviour in healthcare. Future research should focus on intervention studies and more diverse population groups.

Stress, eating and weight change in first year students: the moderating role of self-compassion

OBJECTIVE

The current study sought to examine the drivers of weight change in first-year university students. The study examined the moderating role of self-compassion in the relationship between stress, eating and weight change. Specifically, we expected that students low in self-compassion would respond to stress with unhealthy eating resulting in weight gain. We expected students high in self-compassion to be buffered from the negative effects of stress (moderated mediation model).

METHODS

First-year university students in New Zealand (N = 136) completed measures of healthy and unhealthy food intake and BMI at the beginning and end of the academic year. Self-compassion was measured at baseline only, and perceived stress was averaged over four time points across the year.

RESULTS

Students gained a significant 1.45 kg (SD 3.67 kg) of body weight. Self-compassion moderated the relationship between stress and changes in: (a) unhealthy (but not healthy) food intake, and (b) body weight. For those with low self-compassion, perceived stress was significantly related to an increase in BMI and, unexpectedly, to a decrease in unhealthy food intake. Changes in food intake did not explain changes in BMI.

CONCLUSION

Wellbeing interventions for university students to reduce negative effects of stress should incorporate concurrent training in self-compassion.

Associations between sleep, physical activity, and emotional well-being in emerging young adults: Implications for college wellness program development

Objectives: To examine sleep, physical activity, and their joint associations with physical functioning and affect. Participants: 108 undergraduates completed questionnaires assessing sleep, activity levels, emotional well-being and physical health markers. Results: Participants reported poor sleep quality, suboptimal sleep duration, and inconsistent physical activity. Poor sleep quality was associated with higher fatigue for both active and insufficiently active groups (F = 9.94, p = .002). There was a significant interaction between activity level and sleep duration on negative affect (F = 7.14, p = .009). Students who reported insufficient physical activity and less than 6 hours of sleep had the highest negative affect. Conclusions: Poor sleep quality was associated with increased fatigue. Students who inconsistently exercise and have suboptimal sleep may be at greater risk for affective difficulties. We recommend that college wellness interventions jointly target health behaviors and affect to optimize prevention efforts aimed at addressing physical and mental health outcomes, including depression and chronic illness.

Associations of actigraphy-assessed sleep variables with adiposity and serum cardiometabolic outcomes in emerging adults

This study assessed associations of actigraphy-assessed sleep with adiposity and serum cardiometabolic outcomes in emerging adults, and whether sex and race modified these associations. Data on 147 emerging adults (age = 19.4 ± 1.3 years; body mass index = 26.4 ± 7.0 kg m-2 ; 59% female; 65% White) from RIGHT Track Health were used. Actigraphy-based sleep measures included sleep duration, sleep efficiency, sleep timing midpoint, day-to-day sleep duration and sleep timing midpoint variability. Combined sleep duration and sleep timing behaviours were also derived (early-bed/late-rise, early-bed/early-rise, late-bed/late-rise, late-bed/early-rise). Outcomes included body mass index and BodPod-assessed fat mass index, fasting serum leptin, C-reactive protein, and homeostatic model assessment-insulin resistance. Sleep duration was 5.4 h per night. We noted an inverse association between sleep duration and homeostatic model assessment-insulin resistance. The early-bed/early-rise group had greater body mass index, C-reactive protein and homeostatic model assessment-insulin resistance compared with the early-bed/late-rise group (referent). Sex modified associations of sleep efficiency with C-reactive protein; stratified results revealed positive association between sleep efficiency and C-reactive protein in males, but not females. Race modified associations of sleep duration with body mass index and leptin, and of sleep duration variability with C-reactive protein. Stratified analyses revealed inverse associations between sleep duration with body mass index and leptin in Black, multiracial/other race individuals only. Positive association between sleep duration variability and C-reactive protein was noted in White individuals only. Shorter sleep duration, particularly when combined with earlier sleep timing, is associated with greater adiposity and serum cardiometabolic outcomes. Additional studies are needed to assess individual- and contextual-level factors that may contribute to sex and race differences in sleep health and cardiometabolic risk in emerging adults.

Dietary and Lifestyle Risk Factors of Obesity Among Young Adults: A Scoping Review of Observational Studies

PURPOSE OF REVIEW

Obesity is a growing public health concern worldwide, especially among young adults. This scoping review aims to identify and summarize the current evidence on dietary and lifestyle risk factors associated with obesity among young adults.

RECENT FINDINGS

A scoping review was performed using the PRISMA-ScR guidelines. A systematic search of five electronic databases published from inception to October 2023 was conducted. A total of 46 observational studies met the inclusion criteria and were included in the review. The findings suggest that high intake of energy-dense foods, unhealthy eating habits, poor sleep quality, and increased screen time were significant risk factors for obesity among young adults. In contrast, the association between obesity and sedentary behavior, low physical activity levels, alcohol consumption, and smoking habits was inconclusive. The reviewed evidence suggests that unhealthy dietary habits and lifestyle behaviors are associated with an increased risk of obesity among young adults. The findings highlight the need for further research on these modifiable risk factors to prevent and manage obesity among young adults.

Emotional eating among adults with healthy weight, overweight and obesity: a systematic review and meta-analysis

BACKGROUND

Emotional eating (EE) is a disordered eating behaviour which may lead to overeating. It is not clear whether EE presents to an equal degree among adults, regardless of their body mass index (BMI) status. The aim of this study was to assess whether there is a difference in degree of EE between adults with healthy weight, overweight and obesity.

METHODS

MEDLINE and APA PsycINFO databases were searched from inception up to January 2022 for studies that reported EE scores from validated questionnaires. The quality of all included studies was assessed using the AXIS tool. Meta-analysis used random effects and standardised mean difference (SMD). Heterogeneity was investigated using I2 statistics and sensitivity analyses.

RESULTS

A total of 11 studies with 7207 participants were included in the meta-analysis. Degree of EE was greater in adults with a BMI above the healthy range, compared to adults with a healthy BMI (SMD 0.31, 95% CI 0.17 to 0.45; I2  = 85%). However, subgroup analysis found that degree of EE was greater only in adults with obesity (SMD 0.61, 95% CI 0.41 to 0.81; I2  = 62%), and there was no difference in degree of EE between adults with overweight and those with a healthy BMI.

CONCLUSIONS

Degree of EE is greater among adults living with obesity, compared to adults with a healthy BMI, indicating a need for behavioural support to support EE among people living with obesity seeking weight management. Future research should examine the long-term effectiveness of interventions for EE.

Prevalence and clustering of health behaviours and the association with socio-demographics and mental well-being in Dutch university students

The college years represent a vulnerable period for developing health-risk behaviours (e.g., physical inactivity/unhealthy eating habits/substance use/problematic internet use/insufficient sleep). This study examined current health behaviour levels (RQ1), health behaviour classes (RQ2) and between-class differences in socio-demographics (RQ3) and mental well-being (RQ4) among Dutch university students (n = 3771). Participants (Mage = 22.7 (SD = 4.3); 71.2% female/27.3% male/1.5% other) completed an online survey (Oct-Nov 2021). Descriptive statistics (RQ1), Latent Class Analysis (RQ2), and Kruskal-Wallis/Chi-square tests (RQ3-4) were used. RQ1: Prevalence rates suggest that a subsequent proportion of the student sample engages in health-risk behaviours. RQ2: Four classes were identified: class 1 (n = 862) "Licit substance use health-risk group", class 2 (n = 435) "Illicit and licit substance use health-risk group", class 3 (n = 1876) "Health-protective group" and class 4 (n = 598) "Non-substance use health-risk group". RQ3: Class 1 represents relatively more international students and students in a steady relationship. Class 2 represents relatively more older/male/(pre-)master students and students living with roommates/in a steady relationship/with more financial difficulty. Class 3 represents relatively more younger/female students and students living with family/with lower Body Mass Index (BMI)/less financial difficulty. Class 4 represents relatively more younger/non-Western/international/bachelor students and students living with children/single/part of LGBTIQ+ community/with higher BMI. RQ4: Class 3 has significantly higher mental well-being while class 4 has significantly lower mental well-being, relative to the other classes. Above findings provide new insights which can help educational institutes and governments better understand the clustering of students' health behaviours and between-class differences in socio-demographics and mental well-being.

Associations between sleep characteristics, chronotype and body mass index among Chinese college freshmen

Research indicates that sleep problem is a behavioral risk factor of obesity. However, few research have applied a multi-dimensional approach to investigate the relationship between sleep health and adiposity. Therefore, the current study aimed to examine the associations of sleep characteristics (duration, quality) and chronotype with overweight/obesity as measured by body mass index. Data were obtained from 2014 college students from the Dali University in the Yunnan province of China in the year 2021. Sleep characteristics and chronotype were measured using self-reported questionnaires. The presence of overweight/obesity was assessed by anthropometric measurements. Multiple logistic regression models and restricted cubic spline hazard models were established to examine associations between sleep characteristics, chronotype and adiposity. After adjusting for demographic characteristics and other obesity-related behavioral risk factors, evening type was positively associated with overweight/obesity, and an L-shaped dose-effect relationship was observed between chronotype scores and the presence of overweight/obesity. However, sleep duration and quality were not associated with the presence of overweight/obesity in the logistic regression models and restrictive cubic splines models. This study indicated that Chinese college students who had the evening chronotype were more likely to be affected by overweight/obesity. Chronotype as an important dimension of sleep health should be incorporated in obesity intervention programs.

Are Emotional Eating and Other Eating Behaviors the Missing Link in the Relationship between Inadequate Sleep and Obesity? A Systematic Review

Evidence is emerging to explain that the relationship between inadequate sleep and obesity could be influenced by emotional eating and other eating behaviors such as disinhibition. Therefore, our aim was to conduct a systematic review to analyze the potential role of emotional eating and other eating behaviors in the relationship between inadequate sleep and obesity. We conducted a comprehensive search on 2 databases (Medline and Scopus) looking for records from 1 January 2011 until 31 December 2022 without language restrictions. Cross-sectional, longitudinal, and interventional studies were included if they assessed the association between sleep and emotional eating, as well as the role of emotional eating on the relationship between inadequate sleep and obesity. Secondary outcomes included studies analyzing the link between sleep and other eating behaviors as well as their role in the sleep-obesity relationship. Our results showed that emotional eating and disinhibition play a significant role in the relationship between inadequate sleep and obesity, especially in women. Furthermore, we provide evidence of other eating behaviors (e.g., external eating, eating competence, and hunger), which are also associated with poor sleep outcomes. However, these behaviors do not seem to be determinants of the association between sleep and obesity. In conclusion, our results suggest that individuals with inadequate sleep who are prone to emotional eating and/or disinhibition may require tailored approaches for obesity prevention and treatment.

Characterization and prevalence of obesity among normal weight college students

Normal weight obesity (NWO) describes individuals who have a normal weight body mass index (BMI), but have an unhealthy amount of body fat. Based on the life-long habits that develop during college, exploring NWO among a college-aged population may be essential in identifying and preventing obesity that develops in early adulthood. This study aimed to characterize NWO among young adults with normal weight BMI. 94 college students (Mean ± SD: Age: 19.6 ± 1.5 yrs; BMI: 21.9 ± 1.8 kg/m²) enrolled during the Fall semester (Aug-Oct) were assessed for body composition by dual energy X-ray absorptiometry to determine body fat percentage, fat mass, lean mass and trunk fat; lifestyle habits were characterized from validated questionnaires. Mean arterial pressure and metabolic biomarkers [total cholesterol, high density lipoproteins, non-high density lipoproteins, and glucose] were evaluated for cardiometabolic health. NWO was defined using data from the National Health and Nutrition Examination Survey (NHANES) for body fat percentage. Data was analyzed by group (NWO vs NWL) and sex. with independent t-tests to investigate continuous data, and chi-square test of independence for categorical data. Rates of NWO for the total sample were 13.8%. Males (n=30) had a higher rate of NWO (26.7%) compared to females (n=64; 7.8%). NWO individuals had higher fat mass (p=0.024), trunk fat (p<0.001), and larger waist to hip ratio (p<0.001) than normal weight lean. NWO also engaged in less vigorous physical activity (p=0.043). The occurrence of NWO among otherwise healthy college students is evident. Identification of these individuals may be an effective component for obesity prevention and treatment. Determining feasible methods to measure body fat in this population is essential, as BMI may mask obesity in a young adult population.

Association between Poor Quality of Sleep and Metabolic Syndrome in Ghanaian University Students: A Cross-Sectional Study

Aim. This study aimed to determine the association between quality of sleep and metabolic syndrome (MetS) and physical activity level in young adults at the University of Ghana. Method. In a cross-sectional design, 340 university students, aged between 20-30 years were recruited. Quality of sleep was assessed using the Pittsburgh Sleep Quality index (PSQI) and physical activity with the short form of the International Physical Activity Questionnaire (IPAQ-SF). Poor quality of sleep was defined as a global PSQI score>5 and low physical activity level as those not meeting the criteria for vigorous-moderate physical activity. Anthropometric features and blood pressures were measured, and fasting blood samples were collected from the participants to measure plasma levels of glucose, lipid profile, urea, and creatinine. MetS was defined using the Joint Scientific Statement criteria. Results. In our study population of young adults from Ghana, the prevalence of poor quality of sleep as measured by PSQI was 54.1%, and MetS was 12.4%. MetS was associated with poor quality of sleep in females [ $\text{OR}\left(95\%\text{CI}\right)=2.11$ (1.04–4.25), $p=0.038$ ] and entire study participants [2.18 (1.09–4.37) $p=0.029$ ] in both crude and adjusted models; no association was found in male participants. Low physical activity status was not associated with poor sleep status. Obesity [1.32 (1.02–3.56), $p=0.043$ ], but not overweight [0.99 (0.58–2.34), $p=0.862$ ], was associated with poor quality of sleep. Conclusion. Young adults in a Ghanaian university have a high prevalence of poor quality of sleep and is associated with MetS and obesity. Physical activity status was not associated with poor quality of sleep.

Eating Competence Among Caregivers of Toddlers: Associations With Caregiver and Child Overweight/Obesity

OBJECTIVE

To examine the association between caregiver eating competence and child overweight/obesity and caregiver obesity.

DESIGN

Longitudinal cohort.

SETTING

A large US children's hospital.

PARTICIPANTS

Caregiver-child dyads (n = 288 with complete data at 2 time points) were sampled in 2017-2019 from those who received care at Nationwide Children's Hospital.

MAIN OUTCOME MEASURE(S)

Child overweight/obesity at 24 months of age (body mass index [BMI]) z-score >2 per World Health Organization standards and caregiver weight status (underweight/healthy [BMI < 25 kg/m2], overweight [BMI ≥ 25 and < 30 kg/m2], or obese [BMI ≥ 30 kg/m2]).

ANALYSIS

Log-binomial models examined the relationship between caregiver eating competence (ecSatter Inventory) at 18 months and child overweight/obesity at 24 months of age. Proportional odds models investigated the relationship between caregivers' eating competence and weight status.

RESULTS

Eating competent caregivers had more than twice the odds (odds ratio, 2.11; 95% confidence interval, 1.30-3.42) of having a lower BMI category and had lower average BMI than noneating competent caregivers. Child overweight/obesity at 24 months did not differ by caregiver eating competence.

CONCLUSIONS AND IMPLICATIONS

Although child overweight/obesity did not vary by caregiver eating competence, caregiver eating competence was related to their weight status. Longer-term studies are needed to clarify the role of caregiver eating competence as children develop. Promoting caregivers' eating competence may translate into healthier behaviors and skills for caregivers and their children long term.

Social jet lag and eating styles in young adults

Social jet lag refers to circadian misalignment that occurs when people shift their sleep schedules from weekdays to weekends. Social jet lag is linked with numerous negative health outcomes, with emerging research connecting social jet lag to increased consumption of unhealthy foods. Existing research has not yet examined the associations between social jet lag and eating styles (e.g., emotional eating). Emotional eating and loss of control over eating are problematic eating styles which may lead to overeating and weight gain. Conversely, intuitive eating is associated with positive health outcomes such as lower risk of obesity. The present study examined social jet lag and eating styles in a young adult sample, as emerging adulthood is an important developmental time period for establishing healthy sleep and eating habits. Results of the current study indicated that in a sample of 372 American undergraduate participants, social jet lag significantly predicted lower intuitive eating (β = -.129, p = .012) and greater emotional eating (β = .12, p = .022) when controlling for age, sex, and chronotype. It was marginally predictive of loss of control over eating (β = .102, p = .050). Sleep quantity on weekdays (not weekends) also significantly predicted intuitive eating (p = .017) and loss of control over eating (p = .044), and sleep quality significantly predicted intuitive eating (p < .001), emotional eating (p < .001), and loss of control over eating (p < .001). These findings extend our understanding of the relationship between social jet lag and eating styles in college students. Addressing social jet lag in this population is an important consideration for their cardiometabolic health and for reducing weight fluctuations.

Eating Competence, Food Consumption and Health Outcomes: An Overview

Eating Competence (EC) is one behavioral perspective of eating practices that has been associated with a healthy lifestyle. It emphasizes eating pleasure, self-regulation of eating, body weight satisfaction, and regular meal frequency that includes food variety without focusing on dietary guidelines. EC is composed of four components (Eating Attitude, Food Acceptance, Internal Regulation, and Contextual Skill), and its assessment is performed using the Eating Competence Satter Inventory (ecSI2.0™), developed and validated in English for an adult population. EC has been associated with diet quality and health indicators for various population groups and the development of skills that increase EC might be a strategy to improve nutritional health, and prevent obesity and other chronic diseases. In this sense, this study presents an overview of the background, concepts, features, and possible associations among EC, food consumption, and health outcomes. The high prevalence of diseases associated with food/nutrition draws attention to the necessity to broaden the view on food and its relationship with health and well-being, considering not only nutrients and food combinations but also the behavioral dimensions of eating practices. Healthy nutritional recommendations that take into account attitudes and behaviors are in accordance with the EC behavioral model. Studies on eating behavior emphasize the need to better understand attitudes towards food and eating in the general population using validated instruments. In this context, measuring EC and its association with health outcomes seems to be relevant to nutritional health. The complexity of food choices has been examined in social, behavioral, and biological sciences, representing a great challenge for applying unique and simple theoretical models. Multiple methods are required, as no single theory can fully explain food selection.

Social Mobile Approaches to Reducing Weight (SMART) 2.0: protocol of a randomized controlled trial among young adults in university settings

Background

Excess weight gain in young adulthood is associated with future weight gain and increased risk of chronic disease. Although multimodal, technology-based weight-loss interventions have the potential to promote weight loss among young adults, many interventions have limited personalization, and few have been deployed and evaluated for longer than a year. We aim to assess the effects of a highly personalized, 2-year intervention that uses popular mobile and social technologies to promote weight loss among young adults.

Methods

The Social Mobile Approaches to Reducing Weight (SMART) 2.0 Study is a 24-month parallel-group randomized controlled trial that will include 642 overweight or obese participants, aged 18–35 years, from universities and community colleges in San Diego, CA. All participants receive a wearable activity tracker, connected scale, and corresponding app. Participants randomized to one intervention group receive evidence-based information about weight loss and behavior change techniques via personalized daily text messaging (i.e., SMS/MMS), posts on social media platforms, and online groups. Participants in a second intervention group receive the aforementioned elements in addition to brief, technology-mediated health coaching. Participants in the control group receive a wearable activity tracker, connected scale, and corresponding app alone. The primary outcome is objectively measured weight in kilograms over 24 months. Secondary outcomes include anthropometric measurements; physiological measures; physical activity, diet, sleep, and psychosocial measures; and engagement with intervention modalities. Outcomes are assessed at baseline and 6, 12, 18, and 24 months. Differences between the randomized groups will be analyzed using a mixed model of repeated measures and will be based on the intent-to-treat principle.

Discussion

We hypothesize that both SMART 2.0 intervention groups will significantly improve weight loss compared to the control group, and the group receiving health coaching will experience the greatest improvement. We further hypothesize that differences in secondary outcomes will favor the intervention groups. There is a critical need to advance understanding of the effectiveness of multimodal, technology-based weight-loss interventions that have the potential for long-term effects and widespread dissemination among young adults. Our findings should inform the implementation of low-cost and scalable interventions for weight loss and risk-reducing health behaviors.

Trial registration

ClinicalTrials.govNCT03907462. Registered on April 9, 2019

The relationship of sleep duration and quality to energy expenditure and physical activity in children

BACKGROUND

Shorter sleep duration has been linked to the risk for obesity in children. The pathways linking sleep duration and quality to the risk of obesity are unclear, particularly the effect of sleep on energetics.

OBJECTIVE

We investigated the relationship between sleep duration, quality and timing in children, to the basal metabolic rate (BMR), total energy expenditure (TEE) and physical activity (PA).

METHODS

Fifty nine children in two age-groups (5-11 and 12-18 years) underwent evaluation of body composition (DXA), BMR in a room calorimeter, free-living TEE by doubly labelled water method, sleep and PA (7-day Actiheart monitor) during school break.

RESULTS

Sleep duration contributed to the variance in BMR (β = 0.11, P = .009) after adjusting for age-group, sex, lean and fat mass, but not to the variance in TEE. Late sleep timing was related to lower PA. In the younger age-group, children who met recommended sleep duration on ≥50% of the 7 days had higher light PA (P = .03) and lower sedentary time (P = .009).

CONCLUSION

Suboptimal sleep is associated with lower BMR, lower PA, and higher sedentary behaviours in young children. Prospective studies are needed to confirm if insufficient sleep duration or late sleep timing contribute to obesity risk by increasing sedentary behaviours and decreasing BMR.

Actigraphy-Derived Sleep Is Associated with Eating Behavior Characteristics

Poor sleep is a determinant of obesity, with overconsumption of energy contributing to this relationship. Eating behavior characteristics are predictive of energy intake and weight change and may underlie observed associations of sleep with weight status and obesity risk factors. However, relationships between sleep and dimensions of eating behavior, as well as possible individual differences in these relations, are not well characterized. Therefore, the aim of this study was to evaluate whether sleep behaviors, including duration, timing, quality, and regularity relate to dietary restraint, disinhibition, and tendency towards hunger and to explore whether these associations differ by sex. This cross-sectional study included 179 adults aged 20–73 years (68.7% women, 64.8% with BMI ≥ 25 kg/m²). Sleep was evaluated by accelerometry over 2 weeks. Eating behavior dimensions were measured with the Three-Factor Eating Questionnaire. Prolonged wake after sleep onset (WASO) (0.029 ± 0.011, p = 0.007), greater sleep fragmentation index (0.074 ± 0.036, p = 0.041), and lower sleep efficiency (−0.133 ± 0.051, p = 0.010) were associated with higher dietary restraint. However, higher restraint attenuated associations of higher WASO and sleep fragmentation with higher BMI (p-interactions < 0.10). In terms of individual differences, sex influenced associations of sleep quality measures with tendency towards hunger (p-interactions < 0.10). Stratified analyses showed that, in men only, higher sleep fragmentation index, longer sleep onset latency, and lower sleep efficiency were associated with greater tendency towards hunger (β = 0.115 ± 0.037, p = 0.003, β = 0.169 ± 0.072, p = 0.023, β = −0.150 ± 0.055, p = 0.009, respectively). Results of this analysis suggest that the association of poor sleep on food intake could be exacerbated in those with eating behavior traits that predispose to overeating, and this sleep-eating behavior relation may be sex-dependent. Strategies to counter overconsumption in the context of poor quality sleep should be evaluated in light of eating behavior traits.

Can Health-Promoting Schools Contribute to Better Health Behaviors? Physical Activity, Sedentary Behavior, and Dietary Habits among Israeli Adolescents

Schools with health-promoting school (HPS) frameworks are actively committed to enhancing healthy lifestyles. This study explored the contribution of school participation in HPS on students' health behaviors, namely, physical activity (PA), sedentary behavior, and dieting. Data from the 2018/2019 Health Behavior in School-aged Children study on Israeli adolescents aged 11-17 years were used. Schools were selected from a sample of HPSs and non-HPSs. Between-group differences and predictions of health behavior were analyzed. No between-group differences were observed in mean number of days/week with at least 60 min of PA (HPS: 3.84 ± 2.19 days/week, 95% confidence interval of the mean = 3.02-3.34; non-HPS: 3.93 ± 2.17 days/week, 95% confidence interval of the mean = 3.13-3.38). Most children engaged in screen time behavior for >2 h/day (HPS: 60.83%; non-HPS: 63.91%). The odds of being on a diet were higher among more active children (odds ratio [OR] = 1.20), higher socio-economic status (OR = 1.23), and female (OR = 2.29). HPS did not predict any health behavior. These findings suggest that HPSs did not contribute to health behaviors more than non-HPSs. Therefore, health-promoting activities in HPSs need to be improved in order to justify their recognition as members of the HPS network and to fulfill their mission.

Evaluating hours of sleep and perceived stress on dietary cognitive restraint in a survey of college students

The objective of this study was to examine associations of sleep quality and quantity, food security, and physical activity with eating behaviors that may be associated with college weight gain. Participants: College students enrolled in multiple sections of a general education class completed an online survey in January 2016 (n = 153; 18-52 years of age). Methods: A cross-sectional study was conducted. Outcome variables included emotional eating (EE), uncontrolled eating (UE), and cognitive restraint (CR) as measured by The Three Factor Eating Questionnaire Revised. Bivariate analyses, ANOVA, and multiple linear regression were completed with significance at p≤.05. Results: Higher EE was associated with higher stress levels and female sex (p <.001 and p=.02) and higher UE scores were associated with higher perceived stress (p<.001) while lower UE scores were associated with tobacco use (p=.03 regression, p=.098, bivariate). Higher CR was associated with higher parental education and use of relaxation methods. Higher CR also was associated with perceived stress, but this relationship differed depending upon freshmen status and amount of physical activity, and a relationship with sleep was observed that differed depending upon freshmen status. Conclusion: Interventions to help college students reduce stress and improve sleep may improve eating behaviors.

Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students

PURPOSE

To examine how sleep and physical activity predict body mass index (BMI) in college students.

DESIGN

Cross-sectional.

SETTING

Medium-sized public university in the Southeastern United States.

SUBJECTS

386 undergraduate students (245 females; 18-25 years).

MEASURES

Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI).

ANALYSIS

Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score.

RESULTS

Sleep Duration significantly predicted BMI (β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI Score × CPAQ (β = -.103, p = .015) and Sleep Quality Factor Score × CPAQ (β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high.

CONCLUSION

At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.

Eating Competence Associated with Food Consumption and Health Outcomes among Brazilian Adult Population

This study aimed to associate Eating Competence (EC) with food consumption and health outcomes in the Brazilian adult population. Researchers developed a questionnaire to associate EC with sociodemographic information, health outcomes, and food consumption. Data on body weight and height was referred to by participants in the questionnaire, and body mass index (BMI) was calculated and classified. A question to evaluate the perception of body size was included. After constructing the questionnaire items, content validation and semantic evaluation were performed following the Delphi method with a group of judges composed of 26 health professionals. The judges evaluated the sociodemographic information, health outcomes, and food consumption items associated with the eating competence instrument (previously validated in Brazilian-Portuguese). The final version of the questionnaire was composed of 33 items. Our results confirmed good reliability, responsiveness, and internal consistency. A total of 1810 Brazilians answered the questionnaire. Most of the participants were female, up to 40 years old, with a high education level and high income. Most of the participants did not report diabetes or hypertension. The EC total score did not differ among males and females. Individuals up to 40 years old presented a lower total score. The increase in educational level and income also increased EC total score. Excess weight individuals showed lower EC compared to the normal weight/underweight. Individuals who consumed fruits and/or vegetables five or more days/week presented the best scores for total EC.

Sleep quality, sleep latency, and sleep duration: a national comparative study of university students in Jordan

BACKGROUND

Sleep problems have significant negative health consequences on university students.

STUDY AIM

To assess subjective sleep quality, sleep latency, and sleep duration in a national sample of university students and investigate differences in these components with selected variables.

METHODS

A cross-sectional analysis and multi-stage sampling were conducted to select a sample of 1308 students from three major areas in Jordan. Sleep quality, sleep latency, and sleep duration were measured by an Arabic version of the Pittsburgh Sleep Quality Index (PSQI). Data were analyzed using measures of frequency and central tendency and Kruskal-Wallis tests.

RESULTS

Two-thirds of university students described their sleep quality as fairly bad and very bad and 20 reported sleep latency of more than 30 min during the past month. There was a significant difference in subjective sleep quality according to the student's place of residence. Sleep latency differed according to students' income, physical activity, use of media devices before sleep, smoking status, and academic achievement. Significant differences were also found in sleep duration with students' academic achievement, academic level, and body mass index.

CONCLUSIONS

University students suffer from poor sleep quality, delayed sleep phase, and sleep deprivation. Lower-income, smoking, physical inactivity, and using media devices before sleep contributed to students' sleeping problems.

IMPLICATIONS

Interventional programs that focus on improving physical activity, controlling tobacco use, healthy sleep education, and reducing screen time are essential public health interventions to reduce sleep problems among youth.

Sex and racial/ethnic differences in sleep quality and its relationship with body weight status among US college students

Objective: To examine sex and racial/ethnic differences in sleep quality and the association between sleep quality and body weight status among US college students. Participants: A nationally representative sample (N = 324,767) of college students from 2011 to 2015. Methods: A secondary data analysis of cross-sectional data. Results: Women showed poorer sleep quality (nights per week getting enough sleep to feel rested) than men (4.00 versus 4.34 days; p < .001). In both men and women, compared with non-Hispanic whites, racial/ethnic minorities showed lower sleep quality (p < .001). Compared with normal weight participants, overweight participants had poorer sleep quality (p = .007) among men, and both overweight (p = .004) and obese participants (p < .001) had lower sleep quality among women. Conclusions: Understanding sex and racial/ethnic sleep differences and the association between sleep and body weight status is important for colleges to promote college students' healthy sleep.

Eating Competence among a Select Sample of Brazilian Adults: Translation and Reproducibility Analyses of the Satter Eating Competence Inventory

This study aimed to translate and validate the Satter Eating Competence Inventory (ecSI2.0^TM) from English to Brazilian Portuguese. The process included three steps: (i) translation and back-translation of the original ecSI2.0^TM to Brazilian Portuguese; (ii) evaluation of its reproducibility; (iii) a pilot study to validate the Brazilian version of the Satter Eating Competence Inventory (ecSI2.0^TMBR) for a selected sample of the Brazilian adult population (internal consistency and factor validity). The reproducibility (test–retest reliability) was verified using the intraclass correlation coefficient (ICC) obtained by the responses of 32 Brazilian adults. All domains of the ecSI2.0^TMBR and the total score showed ICC > 0.8. Considering the entire questionnaire, none of the domains presented significant divergences among the participants’ responses (p < 0.001). In the pilot study with 662 individuals, 74.9% (n= 496) were female, mean age was 40.33 ± 12.55, and they presented a higher level of schooling and income. Analyses revealed Cronbach’s alpha coefficients of 0.869 for the ecSI2.0^TMBR total scale, 0.793 for Eating Attitudes, 0.527 for Internal Regulation, 0.728 for Food Acceptance, and 0.822 for Contextual Skills. In general, the ecSI2.0™BR presented good acceptability, showing total floor and ceiling effects of ≤0.6%. Factor validity was examined by confirmatory factor analysis. The four domains presented a good fit in the confirmatory factor analysis: RMSEA = 0.0123 (95% CI: 0–0.0266); CFI = 0.998; χ² = 75.9; df = 69; p = 0.266. The ecSI2.0^TMBR is the first tool designed to measure eating competence (EC) in the Brazilian population, showing good reproducibility and internal consistency. We expect the ecSI2.0^TMBR will support innovative research to investigate the association of EC and health outcomes, as well as new strategies based on emerging behavioral theories to enhance nutritional education policy.

The Elapsed Time between Dinner and the Midpoint of Sleep is Associated with Adiposity in Young Women

Meal timing relative to sleep/wake schedules is relevant in the search for obesity risk factors. However, clock time does not accurately characterize the timing of food intake in the context of internal circadian timing. Therefore, we studied elapsed between dinner and the midpoint of sleep (TDM) as a practical approach to evaluate meal timing relative to internal timing, and its implications on obesity. To do so, adiposity, sleep, diet, physical activity, and TDM were measured in 133 women. The participants were grouped into four categories according to their sleep timing behavior (early-bed/early-rise; early-bed/late-rise; late-bed/early-rise; late-bed/late-rise). Differences among the categories were tested using ANOVA, while restricted cubic splines were calculated to study the association between TDM and adiposity. Our results show that, although participants had dinner at about the same time, those that had the shortest TDM (early-bed/early-rise group) were found to have significantly higher BMI and waist circumference values (2.3 kg/m² and 5.2 cm) than the other groups. In addition, a TDM of 6 h was associated with the lowest values of adiposity. The TDM could be a practical approach to personalizing meal timing based on individual sleep/wake schedules. Thus, according to our findings, dining 6 h before the midpoint of sleep is an important finding and could be vital for future nutritional recommendations and for obesity prevention and treatment.

Relationship between sleep and obesity among U.S. and South Korean college students

Background

Little is known about the relationship between sleep and obesity in young adults, particularly college students. This study examined the relationship between sleep (i.e., sleep duration and quality) and obesity in a large and diverse binational sample of college students.

Methods

Analyses were based on a 40-item paper survey from 2016/2017 to 2017/2018 academic years, with a 72% response rate. The samples were 1578 college students aged 18–25 years from five universities (two in the U.S. and three in South Korea). Weight and height were measured objectively; other measures (e.g., health behaviors) were self-reported. Multinomial logistic regression was used to assess the association between sleep duration and independent variables (race/nationality, gender, and BMI). Poisson regression was used to examine the relationship between sleep quality and independent variables.

Results

Overall, blacks had a higher adjusted odds ratio (AOR) of short sleep (< 7 h/night) than whites (AOR = 1.74, P < .01); overweight participants had a higher AOR of short sleep than normal weight participants (AOR = 1.52, P < .01); and obese participants had a higher AORs of both short and long sleep (> 9 h/night) (AOR = 1.67, P < .01; AOR = 1.79, P < .05, respectively). Among men, being black, overweight, and obesity were associated with short sleep (P < .05), whereas only obesity was related to short sleep among women (P < .05). In analyses stratified by race and nationality, overweight and obesity were related to short sleep among blacks only (P < .05). Overall, sleep quality (getting enough sleep to feel rested in the morning in the past 7 days) was worse in blacks and South Koreans than whites (P < .05), worse in women than men (P < .05), and worse in participants with obesity than normal weight participants (P < .05).

Conclusions

Obesity was associated with both short (< 7 h/night) and long sleep duration (> 9 h/night) and poor sleep quality among all participants. In comparison with whites, blacks were more like to have short sleep, and blacks and South Koreans had worse sleep quality. Further investigations using a larger sample of college students in multiple countries may be helpful to identify target populations who are at a greater risk of obesity and sleep problems.

Associations between Mental Workload and Sleep Quality in a Sample of Young Adults Recruited from a US College Town

OBJECTIVE

To evaluate associations between perceived mental workload (number of hours spent studying and perceived mental intensity) and sleep quality among young adults.

PARTICIPANTS

656 participants [62% male, median age (IQR) = 20 (19, 21) years] recruited from a US college town.

METHODS

As part of an online screener, participants answered questions about perceived workload and sleep quality (Pittsburgh Sleep Quality Index (PSQI)). Number of hours/day of mentally engaging work/study, and mental intensity score were the exposures, categorized into quartiles. Linear regression models were used for continuous sleep quality score, and modified Poisson models were used for poor quality sleep (>5 PSQI score) and individual sleep components, adjusting for sex, age, race, physical activity, and caffeine intake.

RESULTS

Higher mental work-hours were associated with lower-quality sleep; those in the highest quartile of mental work-hours had a 28% higher likelihood of poor sleep quality (95% CI 2% to 62%). Higher mental intensity scores were also related to lower quality sleep; comparing the highest to the lowest quartiles, there was a 45% higher probability of being a poor sleeper (95% CI 15% to 83%). Associations with PSQI components were partly sex-specific: while both sexes had associations between mental intensity and short sleep, males had positive associations with poor sleep quality and sleep medication use. Conversely, females with higher mental intensity reported higher-quality sleep overall and lower sleep medication use but lower sleep efficiency.

CONCLUSIONS

Higher mental workload is associated with lower overall sleep quality in young adults. Associations with individual sleep quality components differed by sex.

Unhealthy behavior clustering and mental health status in United States college students

Objective: Examine the association of health risk behavior clusters with mental health status among US college students. Participants: 105,781 US college students who completed the Spring 2011 National College Health Assessment. Methods: We utilized the latent class analysis to determine clustering of health risk behaviors (alcohol binge drinking, cigarette/marijuana use, insufficient physical activity, and fruit/vegetable consumption), and chi-square and ANOVA analyses to examine associations between the class membership and mental health (mental health diagnoses, psychological symptoms, and self-injurious thoughts/behaviors). Results: Three classes were identified with differing rates of binge drinking, substance use, and insufficient physical activity but similar rates of insufficient fruit/vegetable consumption. Students classified with the highest rates of binge drinking and cigarette/marijuana use had the highest rates across all mental health variables compared to other classes. Conclusions: Students who reported engaging in multiple health risk behaviors, especially high alcohol and cigarette/marijuana use, were also more likely to report poorer mental health.

Mediating effect of sleep behaviors when predicting weight-related behaviors in nursing students

BACKGROUND AND PURPOSE

The purpose of this study was to identify whether or not sleep behaviors mediated bioecological predictors of weight-related behaviors among college students.

METHODS

This descriptive, quantitative, cross-sectional study, guided by Bronfenbrenner's bioecological model, examined bioecological characteristics and path analysis to assess model fit.

CONCLUSIONS

The fit indices indicated excellent fit of the final model to the data (χ (24) = 30.33, p = .17, root-mean-square error approximation = 0.04, comparative fit index = 0.96, standardized root-mean-square residual = 0.03). Sleep duration mediated significant bioecological predictors of weight-related behaviors, but sleep quality did not. Having children significantly predicted increased sugar-sweetened beverage (SSB) consumption and decreased physical activity (PA) among college students. Conversely, eating the majority of meals at home significantly predicted decreased consumption of SSBs and increased PA.

IMPLICATIONS FOR PRACTICE

Findings support inclusion of sleep duration and use of the bioecological model, when providing patient-centered healthcare focused on weight-related behaviors and weight management in college students.

Satter Eating Competence Inventory Subscale Restructure After Confirmatory Factor Analysis

OBJECTIVE

To examine the structural validity of the empirically and theoretically derived Satter Eating Competence Inventory (ecSI 2.0).

METHODS

Confirmatory factor analyses with 3 databases and a merger with 3 additional data sets (n = 2,010) from demographically heterogeneous samples.

RESULTS

Findings supported retaining all 16 items and migration of the item I trust myself to eat enough for me from the Internal Regulation to Eating Attitudes subscales, providing 4 distinct but correlated subscales and an adequately fitting model, χ²(98) = 1,364.27, P < .001, comparative fit index = .91, root mean square error of approximation = .07, 95% confidence interval, 0.07-0.08, standardized root mean square residual = .05.

CONCLUSION AND IMPLICATIONS

Psychometric integrity of the 16-item ecSI 2.0 was affirmed. Continued examination is recommended with cultural and linguistically diverse samples and network analyses to identify dynamic interactions among items.

Evaluating Potential Behavioral Mediators for Increasing Similarity in Friends' Body Size among College Students

College students and their friends become more similar in weight status over time. However, it is unclear which mediators explain this relationship. Using validated survey measures of diet, physical activity, alcohol intake, sleep behaviors, mental health, and food security status, we take a comprehensive look at possible factors associated with excess weight gain that may explain friends’ convergence on body mass index (BMI), waist circumference, waist to hip ratio, and waist to height ratio over time. We use linear mixed models applied to a longitudinal dataset of first-year college students to examine whether these variables satisfy two criteria for potential candidate mediators of friends’ influence on anthropometrics—cross-sectional similarity among friends (n = 509) and longitudinal associations with increasing anthropometrics (n = 428). While friends were similar on some survey measures (such as dining hall use, home cooked meal consumption, fruit intake, alcohol intake, hours of sleep, and stress). Only dining hall use and stress emerged as potential explanations for why friends’ BMI and anthropometric change may be similar. Given that only a few variables satisfied the two criteria as potential mediators, future research may need to consider alternative measurement approaches, including real-time assessments, objective measurements, and alternative factors causing the convergence of friends’ and college students’ body size over time.

Health Behaviors of Student Community Research Partners When Designing and Implementing a Healthy Lifestyle Intervention on College Campuses

Few studies work with college students as equal partners in all aspects of Community-Based Participatory Research (CBPR) and even less evaluate behaviors of those college partners. The current study aimed to examine health behaviors of students by designing and implementing a peer-led, social marketing campaign (Get Fruved) to promote healthier lifestyles on their campuses. Enrolled students (n = 376) were trained to either design and implement a health promotion intervention (Social Marketing and Environmental Interventionists; SMEI, n = 78), be peer mentors (PM; n = 205), or serve as control participants (n = 93). Students' behaviors (dietary, activity, and stress) and anthropometrics were assessed at baseline, 6 months, and 12 months. The population was predominately Caucasian, female, and between 19 and 20 years old. On average, fruit and vegetable consumption slightly decreased across all time points for each group with control at a larger decline. Students International Physical Activity Questionnaire (IPAQ) scores showed students met recommended amounts of activity throughout the intervention, with males reporting higher activity levels. Cohen's Perceived Stress Scale (PSS) analyses indicated 19 year olds had higher stress along with females had higher than males. Students involved in a CBPR approach to be trained, design, and implement a lifestyle intervention can achieve maintenance of health behaviors throughout a college year when compared to control students.

Are college students told by health care providers about their risk factors for developing diabetes?

BACKGROUND AND PURPOSE

Communication about risk factors for diabetes between nurse practitioners and college students may not be occurring as the prevalence of Type 2 diabetes increases. The purpose of this secondary analysis was to evaluate if college students are being told of their risk for diabetes based on known risk factors of weight, sleep, and depressive symptoms.

METHODS

Descriptive, cross-sectional study was completed using National Health and Nutrition Examination Survey 2011-2012. Using listwise deletion for all variables in the analyses, the sample (N = 313) included college participants aged 18-25 years. Logistic regression model found that body mass index (BMI), sleep quantity, and gender were significant predictors of not being told one was at risk for diabetes. In those with a BMI >25 kg/m (n = 159), only 22% were told about their risk for diabetes by a health care provider.

CONCLUSIONS

Nurse practitioners may not be recognizing the factors that affect on the development of prediabetes in college-age students or not providing guidance for measures to prevent the morbidity related to diabetes.

IMPLICATIONS FOR PRACTICE

Nurse practitioners are in a prime position to identify individuals with overweight/obesity, poor sleep, and depressive symptoms and recommend lifestyle changes to prevent the onset of disease.

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

For university students, alterations in sleep and diet quality are common, and the propensity for weight gain is well established. The role of sleep duration during periods of rapid weight gain is understudied. This study explored the relationships between sleep duration, diet patterns, and body composition in first-year university students. Data collection occurred during the beginning of the fall (August) and spring semesters (January). Anthropometric measures included weight, height, and percent body fat (%BF). Survey questions assessed sleep and diet quality. As a group, participants (N = 60) gained weight (1.8 ± 2.1 kg) over the 4.5-month period of study. Hierarchical cluster analysis (HCA) identified three groups based on weight change between baseline and follow-up visits. Group 1 ("maintainers") (N = 21) gained 0.1 ± 1.3 kg, group 2 ("modest gainers") (N = 24) gained 2.0 ± 1.7 kg, and group 3 ("major gainers") (N = 15) gained 3.8 ± 1.8 kg. No differences in weight, body mass index (BMI), %BF, or average sleep duration existed between clusters at baseline. Minimal differences in baseline dietary behaviors between groups were noted other than maintainers used more fat, e.g., butter, to season vegetables, bread, and potatoes compared to modest gainers (p = .010). At follow-up, sleep duration significantly decreased from baseline among major gainers (7.1 ± 0.7 vs. 6.8 ± 0.7 h, p = .017) while sleep duration increased from baseline among maintainers (7.3 ± 0.9 vs. 7.6 ± 1.0 h, p = .048). Sleep duration at follow-up was significantly shorter among major gainers compared to maintainers (p = .016). Total diet scores for maintainers and modest gainers improved between visits (p = .038 and 0.002, respectively) but did not change among major gainers. Combining sleep and diet education may increase the effectiveness of interventions designed to mitigate weight gain in this high-risk population.

Poor Sleep and Obesity: Concurrent Epidemics in Adolescent Youth

Poor sleep and obesity are both extraordinarily common in the US adolescent population and often occur simultaneously. This review explores the links between obesity and sleep, outlining what is known about the relationships between sleep characteristics, obesity, and cardiometabolic risk factors in youth. Sleep duration is less than optimal in teens, and decreases as age increases. This is detrimental to overall well-being and is associated with obesity in children, adolescents, and young adults. Accordingly, inadequate sleep duration is associated with poor diet quality, decreased insulin sensitivity, hyperglycemia, and prevalent cardiometabolic risk factors. Evidence suggests that poor sleep quality and altered circadian timing characterized by a preferred later sleep onset, known as "adolescent chronotype," contributes to shortened sleep duration. Obstructive sleep apnea (OSA) occurs more frequently among youth with obesity, and is associated with autonomic nervous system activity promoting higher blood pressure, increased markers of cardiovascular disease risk, and insulin resistance. While there is a clear association between OSA and type 2 diabetes in adults, whether or not this association is prevalent in youth is unclear at this time. Interventions to improve both sleep duration and quality, and obesity in adolescents are scarce and more evidence is needed to determine if such interventions can improve obesity-related health outcomes.

Impact of a Weight Management Intervention on Eating Competence: Importance of Measurement Interval in Protocol Design

PURPOSE

To examine changes in eating competence (EC) in 12-month weight loss intervention.

DESIGN

Randomized, parallel-arm with weight loss phase (baseline to month 4) and weight-maintenance phase (months 4-12).

SETTING

Face-to-face in University classrooms, supervised and self-directed fitness sessions at University fitness center, and home.

PARTICIPANTS

Premenopausal, mostly college-educated Pennsylvania women, body mass index >25 (n = 101).

INTERVENTION

Twenty-eight, 1-hour classes tailored for extremes of the Dietary Guidelines' fat recommendations, based on social cognitive theory, problem-based learning delivery over 12 months. Exercise component included supervised and self-directed stretching, aerobics, and strength training.

MEASURES

Anthropometrics, lipid profile, blood pressure, 24-hour dietary recalls, cognitive behavioral measures, Satter Eating Competence Inventory (ecSI).

ANALYSIS

General linear model repeated measures analysis of variance for outcome variables.

RESULTS

A total of 40% (n = 40) completed the ecSI. Overall, education and supervised exercise session attendance were 77% and 88%, respectively. Similar weight loss for lower and moderate fat groups (6.7 kg and 5.4 kg). The EC was unchanged baseline to month 4 but increased significantly from months 4 to 12, baseline to month 12 for both groups. The EC change baseline to month 12 was inversely associated with weight change from baseline to months 4 and 12.

CONCLUSION

Weight management interventions, likely to introduce concerns with eating attitudes, behaviors, and foods, can reduce EC. Short-term measurement of EC change captures these consequent adjustments without opportunity to regain self-efficacy. Extending the measurement interval better reflects intervention impact on EC.

College Freshmen Students' Perspectives on Weight Gain Prevention in the Digital Age: Web-Based Survey

BACKGROUND

College freshmen are highly vulnerable to experiencing weight gain, and this phenomenon is associated with an increased risk of chronic diseases and mortality in older adulthood. Technology offers an attractive and scalable way to deliver behavioral weight gain prevention interventions for this population. Weight gain prevention programs that harness the appeal and widespread reach of Web-based technologies (electronic health or eHealth) are increasingly being evaluated in college students. Yet, few of these interventions are informed by college students' perspectives on weight gain prevention and related lifestyle behaviors.

OBJECTIVE

The objective of this study was to assess college freshmen students' concern about weight gain and associated topics, as well as their interest in and delivery medium preferences for eHealth programs focused on these topics.

METHODS

Web-based surveys that addressed college freshmen students' (convenience sample of N=50) perspectives on weight gain prevention were administered at the beginning and end of the fall 2015 semester as part of a longitudinal investigation of health-related issues and experiences in first semester college freshmen. Data on weight gain prevention-related concerns and corresponding interest in eHealth programs targeting topics of potential concern, as well as preferred program delivery medium and current technology use were gathered and analyzed using descriptive statistics.

RESULTS

A considerable proportion of the freshmen sample expressed concern about weight gain (74%, 37/50) and both traditional (healthy diet: 86%, 43/50; physical activity: 64%, 32/50) and less frequently addressed (stress: 82%, 41/50; sleep: 74%, 37/50; anxiety and depression: 60%, 30/50) associated topics within the context of behavioral weight gain prevention. The proportion of students who reported interest in eHealth promotion programs targeting these topics was also generally high (ranging from 52% [26/50] for stress management to 70% [35/50] for eating a healthy diet and staying physically active). Email was the most frequently used electronic platform, with 96% (48/50) of students reporting current use of it. Email was also the most frequently cited preferred eHealth delivery platform, with 86% (43/50) of students selecting it. Facebook was preferred by the second greatest proportion of students (40%, 20/50).

CONCLUSIONS

Most college freshmen have concerns about an array of weight gain prevention topics and are generally open to the possibility of receiving eHealth interventions designed to address their concerns, preferably via email compared with popular social media platforms. These preliminary findings offer a foundation to build upon when it comes to future descriptive investigations focused on behavioral weight gain prevention among college freshmen in the digital age.

A Web-Based Lifestyle Medicine Curriculum: Facilitating Education About Lifestyle Medicine, Behavioral Change, and Health Care Outcomes

BACKGROUND

Lifestyle medicine is the science and application of healthy lifestyles as interventions for the prevention and treatment of disease, and has gained significant momentum as a specialty in recent years. College is a critical time for maintenance and acquisition of healthy habits. Longer-term, more intensive web-based and in-person lifestyle medicine interventions can have a positive effect. Students who are exposed to components of lifestyle medicine in their education have improvements in their health behaviors. A semester-long undergraduate course focused on lifestyle medicine can be a useful intervention to help adopt and sustain healthy habits.

OBJECTIVE

To describe a novel, evidence based curriculum for a course teaching the concepts of Lifestyle Medicine based on a web-based course offered at the Harvard Extension School.

METHODS

The course was delivered in a web-based format. The Lifestyle Medicine course used evidence based principles to guide students toward a "coach approach" to behavior change, increasing their self-efficacy regarding various lifestyle-related preventive behaviors. Students are made to understand the cultural trends and national guidelines that have shaped lifestyle medicine recommendations relating to behaviors. They are encouraged to engage in behavior change. Course topics include physical activity, nutrition, addiction, sleep, stress, and lifestyle coaching and counseling. The course addressed all of the American College of Preventive Medicine/American College of Lifestyle Medicine competencies save for the competency of office systems and technologies to support lifestyle medicine counseling.

RESULTS

The course was well-received, earning a ranking of 4.9/5 at the school.

CONCLUSIONS

A novel, semester-long course on Lifestyle Medicine at the Harvard Extension School is described. Student evaluations suggest the course was well-received. Further research is needed to evaluate whether such a course empowers students to adopt behavior changes.

Sleep quality and obesity in young subjects: a meta-analysis

OBJECTIVES

To assess the effect of poor sleep quality on Overweight/Obesity (Ow/Ob) in young subjects, and explore if this association is independent of sleep duration.

METHODS

Pubmed, EMBASE, and MEDLINE databases were searched for papers on sleep quality and overweight/obesity, focusing on children, adolescents, and young adults. Studies based on subjects with medical/psychological problems or published in languages other than English were excluded. Quality effects model was used to pool studies for meta-analysis.

RESULTS

Findings from the systematic review suggest a link between poor sleep quality and Ow/Ob in young subjects. Pooled estimate (from 26,553 subjects) suggest a role of inadequate sleep (including both short duration and poor quality) in Ow/Ob (OR: 1.27 95% CI: 1.05-1.53). Sub-group-analyses suggest considerably higher odds of Ow/Ob (OR = 1.46, 95% CI: 1.24-1.72) in young subjects with poor sleep quality (independent of duration).

CONCLUSIONS

Poor sleep quality seems to be associated with Ow/Ob, and some studies indicate this association to be independent of duration. Therefore, considering only sleep duration might not help in disentangling sleep-obesity association. However, this review is mostly composed of cross-sectional studies. Therefore, a causal link or the stability of the sleep quality and Ow/Ob association could not be established.

The Link Between Inadequate Sleep and Obesity in Young Adults

The prevalence of obesity has increased dramatically over the past decade. Although an imbalance between caloric intake and physical activity is considered a key factor responsible for the increase, there is emerging evidence suggesting that other factors may be important contributors to weight gain, including inadequate sleep. Overall research evidence suggests that inadequate sleep is associated with obesity. Importantly, the strength and trajectory of the association seem to be influenced by multiple factors including age. Although limited, the emerging evidence suggests young adults might be at the center of a "perfect health storm," exposing them to the highest risk for obesity and inadequate sleep. Unfortunately, the methods necessary for elucidating the complex relationship between sleep and obesity are lacking. Uncovering the underlying factors and trajectories between inadequate sleep and weight gain in different populations may help to identify the windows of susceptibility and to design targeted interventions to prevent the negative impact of obesity and related diseases.

What Role Does Sleep Play in Weight Gain in the First Semester of University?

We hypothesized that shorter sleep durations and greater variability in sleep patterns are associated with weight gain in the first semester of university. Students (N = 132) completed daily sleep diaries for 9 weeks, completed the MEQ (chronotype) and CES-D (depressed mood) at week 9, and self-reported weight/height (weeks 1 & 9). Mean and variability scores were calculated for sleep duration (TST, TSTv), bedtime (BT, BTv), and wake time (WT, WTv). An initial hierarchical regression evaluated (block 1) sex, ethnicity; (block 2) depressed mood, chronotype; (block 3) TST; (block 4) BT, WT; and (block 5; R(2) change = 0.09, p = 0.005) TSTv, BTv, WTv with weight change. A sex-by-TSTv interaction was found. A final model showed that ethnicity, TST, TSTv, and BTv accounted for 31% of the variance in weight change for males; TSTv was the most significant contributor (R(2) change = 0.21, p < 0.001). Daily variability in sleep duration contributes to males' weight gain. Further investigation needs to examine sex-specific outcomes for sleep and weight.

Successful weight loss maintenance associated with morning chronotype and better sleep quality

It is not known whether individuals successful at long term weight loss maintenance differ in chronotype (i.e., being a "morning" or "evening" person) or sleep habits compared to those who are overweight and obese. We compared Morningness-Eveningness Questionnaire (MEQ) and Pittsburgh Sleep Quality Index scores of 690 National Weight Control Registry (NWCR) members (73 % female, 93 % white, age = 51.7 ± 12.5, BMI = 26.4 ± 5.1) to 75 enrollees in two behavioral weight loss interventions (INT; 77 % female, 88 % white, age = 55.7 ± 10.4, BMI = 36.2 ± 4.7). Controlling for age, MEQ scores were higher in NWCR than INT, p = .004, such that more NWCR than INT were morning-types and fewer were evening types, p = .014. Further, NWCR participants reported better sleep quality, longer sleep duration, and shorter latency to sleep onset compared to INT, ps < .05, and fewer NWCR participants reported <6 or <7 h of sleep, ps < .01. Future studies should examine if these factors change as a result of weight loss or are predictors of weight outcome.

Relationships of eating competence, sleep behaviors and quality, and overweight status among college students

Little is known about the relationships between eating competence (intra-individual approach to eating and food-related attitudes and behaviors that entrain positive bio-psychosocial outcomes) and sleep behaviors and quality in college students, a high-risk group for poor eating habits, weight gain, and inadequate sleep. Thus, data from full-time college students (N=1035; 82% White; 61% female) aged 18-24 years from 5 U.S. universities were obtained from online questionnaires (eating competence (ecSI), Pittsburg Sleep Quality Index (PSQI), physical activity, demographics) and physical assessments (measured height, weight), to explore sleep behavior and quality between eating-competent (EC; ecSI score≥32) and non-EC groups (ecSI<32). Generalized linear models controlling for gender, body mass index, and physical activity were utilized. A higher proportion of those in the EC group reported adequate sleep quality (67% vs. 57% in non-EC, p=0.001), sleep duration of ≥7 h nightly (58% vs. 50% in non-EC, p=0.007), and infrequent daytime dysfunction (72% vs. 65% in non-EC, p=0.02). When ecSI scores were grouped as tertiles, those in the highest tertile reported a higher prevalence of no sleep disturbances (7% vs. 2% in the lowest ecSI tertile, p=0.006) and lower prevalence of sleep medication use (10% vs. 15% in the lowest ecSI tertile, p=0.04). Results suggest that competent eaters are more likely to have better overall sleep quality and fewer sleep-related issuescompared to less competent eaters. These findings may inform future longitudinal studies, and health promotion and weight management interventions for young adults.

About Eating: an online program with evidence of increased food resource management skills for low-income women

OBJECTIVE

Produce and evaluate About Eating (AE), an online program for low-income women aligned with the Satter eating competence model, congruent with best practices for nutrition education of low-income audiences.

METHODS

Responses from iterative cognitive interviews and online surveys with diverse samples of low-income women informed lesson revisions. The researchers conducted a randomized controlled trial of AE with low-income women to determine its impact on dietary behavior and food security.

RESULTS

In all, 284 women reviewed at least 1 AE lesson and endorsed it. After AE, women (n = 288) increased in use of food resource management skills (eg, using a budget [P = .008] and planning meals to include all food groups [P = .002]). About Eating participants who were food secure had more confidence in managing money for food (P = .002) and keeping track of food-related purchases (P = .02) than food-insecure persons.

CONCLUSIONS AND IMPLICATIONS

Mixed-methods research with life stage and geodiverse samples confirmed the usefulness of AE. Food security assessment may enhance interpretation of intervention effectiveness.

The Satter Eating Competence Inventory for Low-income persons is a valid measure of eating competence for persons of higher socioeconomic position

Eating competence is an important behavioral construct, shown to be associated with healthful lifestyle practices, including dietary quality, weight management, physical activity, and sleep duration. A 16-item instrument to measure eating competence, the Satter Eating Competence Inventory was previously validated in a general sample and subsequently, a 16-item instrument was developed to address specific concerns of low-income persons; 12 items were common to both instruments. The purpose of this study was to determine if the low-income version could be applied to a general audience, simplifying intervention evaluation and facilitating cross-study comparison. Both surveys were fully completed by 127 parents (89% white; 35.8 ± 5.3 y; 86% college graduates; 51% eating competent) of preschool-age children; 96 of whom were not considered low-income. Cognitive interviews with 14 parents of varying eating competence levels clarified and confirmed findings. Scores were highly correlated (r = .98) and only 2 of the 96 were not congruently classified for eating competence. Mean difference between the two versions was .24 ± 1.55. The general audience version explained 95% of the variance in the low-income version score. Findings support the low-income version of the Satter Eating Competence Inventory for general audience use as the Satter Eating Competence Inventory 2.0.