Social jet lag and eating styles in young adults

Association of weekend catch-up sleep with depression: A systematic review and meta-analysis

BACKGROUND

Weekend catch-up sleep (WCS) may alleviate weekday sleep deprivation, but its relationship with depression risk remains unclear. This systematic review and meta-analysis aims to explore the association between WCS and depression risk.

METHODS

A comprehensive search was conducted in PubMed, Cochrane Library, Embase, Web of Science, and Scopus for observational studies published up to June 1, 2024. Data extraction and bias assessment were independently performed by two reviewers. Odds ratios (ORs) and 95 % confidence intervals (CIs) were calculated, with model selection based on the I2 statistic. Sensitivity analyses and publication bias tests were also conducted.

RESULTS

A total of ten cross-sectional studies (326,871 participants) were included. Meta-analysis showed that WCS was significantly associated with a reduced risk of depression (OR = 0.80, 95 % CI: 0.68-0.90). Subgroup analyses showed moderate amounts of WCS (0-2 h) may be protective, but WCS beyond 2 h had limited protective effects against depression. Qualitative analyses showed that the protective effect of WCS against depression was more pronounced in men and middle-aged adults, and was particularly applicable to those who were sleep-deprived on weekdays.

LIMITATIONS

The cross-sectional design of included studies limits causality inference, and the sample primarily represents populations from the United States and South Korea, potentially affecting generalizability.

CONCLUSIONS

Moderate WCS is associated with lower depression risk in those with weekday sleep deficits, while excessive WCS may have diminishing or adverse effects. Further research should examine optimal WCS duration and underlying mechanisms.

Associations between intraindividual variability in weekday-weekend sleep timing and duration and eating disorder pathology

Sleep disruptions may be risk factors for eating disorder symptoms. However, mean estimates of sleep characteristics may not be ideal metrics, considering many individuals have irregular sleep patterns. Although variability in sleep-wake timing is associated with irregular eating patterns among individuals with eating disorders (Linnaranta et al., 2020), studies of sleep intraindividual variability (IIV) and eating pathology are limited. To fill this gap, we evaluated two indices of sleep IIV from weekdays-to-weekends and their relation to eating disorder risk. The sample was drawn from the 2018-2019 Healthy Minds Study (N = 25,879). We conducted two binary logistic regressions predicting screening positive for an eating disorder from IIV indices, adjusting for depression and mean sleep time. Greater IIVtiming (i.e., greater shifts in the timing of the sleep midpoint between weekdays and weekends) was associated with greater odds of screening positive for an eating disorder (OR = 1.049). Greater IIVduration (i.e., greater shifts in duration of sleep between weekdays and weekends) was associated with lesser odds (OR = 0.967); however, suppressor effects of depression likely explain this finding. Greater mean duration of sleep was associated with lower odds of screening positive for an eating disorder in both models. Results are consistent with theories emphasizing the importance of sleep IIV in conceptualizing psychopathology risk; however, effect sizes were small and may have limited clinical significance. By only asking about mean sleep duration, clinicians may miss other sleep-related predictors of eating disorder psychopathology. Findings support investigating techniques to regularize sleep patterns among people with disordered eating.

Is Social Jetlag Associated With Physical Fitness Among Spanish Adolescents? Insights From the EHDLA Study

BACKGROUND

The misalignment of sleeping times during weekdays/weekends (i.e., social jetlag) is particularly common among adolescents and plausibly associated with their physical fitness. However, literature on this topic is scarce. Therefore, this study aimed to investigate the association between social jetlag and physical fitness in Spanish adolescents.

METHODS

A secondary analysis was conducted on cross-sectional data from the Eating Healthy and Daily Life Activities (EHDLA) study among 812 adolescents (54.9% girls) aged 12-17 years from the Valle de Ricote (Region of Murcia, Spain). Social jetlag was calculated from self-reported data on bedtimes and wake times for weekdays and weekends. Physical fitness was evaluated with the Assessing the Levels of PHysical Activity and Fitness (ALPHA-FIT) for children and adolescents and included cardiorespiratory fitness, muscular fitness, speed agility, and flexibility.

RESULTS

The analysis revealed significant negative associations between worse social jetlag and detrimental overall physical fitness (unstandardized beta coefficient [B] = -0.06, 95% confidence interval [CI]: -0.09, -0.02; p = 0.002), cardiorespiratory fitness (B = -1.28; 95% CI -2.22, -0.34; p = 0.008), and lower body muscular fitness (B = -2.01; 95% CI -3.90, -0.12; p = 0.038) after the adjustment for potential covariates (age, sex, socioeconomic status, physical activity level, sedentary behavior, nocturnal sleep duration, energy intake, and body mass index). In contrast with other fitness components, a significant positive association was identified between social jetlag and speed agility (B = 0.07; 95% CI 0.00, 0.14; p = 0.049).

CONCLUSIONS

In adolescents, social jetlag is significantly linked to poorer physical fitness, especially for cardiorespiratory fitness and lower-body muscular fitness. Maintaining regular and well-synchronized sleep could be crucial for optimizing physical health and preventing the decline of physical fitness during adolescence.

Sleep quality and emotional eating in college students: a moderated mediation model of depression and physical activity levels

BACKGROUND

Emotional eating is a prevalent maladaptive coping mechanism among college students, which is associated with mental health and sleep concerns. Though previous studies have established a link between sleep quality, depression and emotional eating, most of these have been in Western populations. In addition, few existing studies have taken physical activities into account, and the underlying mechanisms between these four variables remain to be further studied. Therefore, our study investigated the mediating role of depression and the moderating role of physical activity levels in the relationship between sleep quality and emotional eating among Chinese college students. Our study can help to understand the characteristics of this population and provide guidance on the intervention pathways for emotional eating.

METHODS

A convenience sampling method was employed to select eligible participants for investigation. The General Information Questionnaire, the Pittsburgh Sleep Quality Index Scale, the Patient Health Questionnaire, the Dutch Eating Behavior Scale, and the International Physical Activity Questionnaire were employed to measure the general condition, sleep quality, depression, emotional eating, and physical activity. A total of 813 college students (Mage = 19.14, SD = 1.12, range = 17 ~ 25 years old, 71.1% females) completed the survey. The moderated mediation analysis was carried out using the SPSS PROCESS macro.

RESULTS

After controlling for sex, age, and body mass index (BMI), sleep quality positively predicted emotional eating. Depression primarily mediated the association between them. Besides, physical activity levels moderated the relationship between sleep quality and emotional eating via depression. Depression significantly predicted emotional eating among students with low levels of physical activity; however, it was not significant among students with moderate or high levels of physical activity.

CONCLUSIONS

The role of depression mediates the link between sleep quality and emotional eating. Regular exercise can ease the symptoms of emotional eating through depression. This implies the importance of offering more sleep hygiene education and physical activity in university settings.

Assessment of Intuitive Eating and Mindful Eating among Higher Education Students: A Systematic Review

BACKGROUND

The role of mindful eating (ME) and intuitive eating (IE) in improving eating behavior, diet quality, and health is an area of increasing interest.

OBJECTIVE

The objective of this review was to identify the instruments used to assess ME and IE among higher education students and outcomes related to these dimensions.

METHODS

This review was carried out according to the PRISMA statement, through systematic searches in PubMed, Web of Science, PsycInfo, and Scopus. The inclusion criteria selected for higher education students, levels of ME and/or IE reported, and observational and clinical studies. The exclusion criteria selected against reviews, qualitative studies, and case studies. Quality was assessed using the Academy of Nutrition and Dietetics Quality Criteria Checklist.

RESULTS

A total of 516 initial records were identified, from which 75 were included. Cross-sectional studies were the most common research design (86.7%). Most studies were conducted with samples that were predominantly female (90.7%), White (76.0%), aged 18 to 22 years (88.4%), with BMI < 25 kg/m2 (83.0%), and in the United States (61.3%). The Intuitive Eating Scale (IES), the Mindful Eating Questionnaire (MEQ), and their different versions were the most used instruments. The outcomes most studies included were eating behavior and disorders (77.3%), anthropometric assessments (47.8%), mental health (42.0%), and body image (40.6%). Regarding the quality of studies, 34.7% of studies were assigned a positive, 1.3% a negative, and 64.0% a neutral rate.

CONCLUSIONS

IES and MEQ were the most used instruments. RCT and cohort studies are scarce, and future research with a higher level of quality is needed, especially on the topics of food consumption, diet quality, and biochemical markers.

Lifestyle factors, dietary patterns, and social determinants of social and eating jetlag: A cross-sectional survey

Social jetlag (SJL) and, more recently, eating jetlag have been linked with an increased risk of non-communicable diseases. Here we aim to investigate lifestyle factors (diet, eating behavior, smoking, perceived stress, time spent sedentary/day) and social determinants (education level, employment status, and place of residence) associated with SJL corrected for sleep duration (SJLsc) and eating jetlag. Self-declared data on age, gender, lifestyle, and eating behavior were collected online from March 2021 to February 2022 of 432 adults. Principal component analysis was used to extract three dietary patterns (Prudent, Western, and Risky). Prevalence of SJLsc was 35.2%, with no significant difference between men and women (p = 0.558). Adults with SJLsc had significantly larger eating jetlag (56.0 min vs 41.2 min, p = 0.001). Increasing SJLsc duration was associated with an increased adherence to a Risky dietary pattern (standardized β coefficient = .165, p = 0.012); increasing eating jetlag duration was associated with an increased adherence to a Western dietary pattern (standardized β coefficient = .127, p = 0.039) and a shorter sleep duration (standardized βcoefficient = -0.147, p = 0.011). Among social determinants analyzed, only being a student or employed was associated with eating jetlag (standardized β coefficient = 0.125, p = 0.044), while none displayed any relationship with SJLsc. Our survey provides evidence on a risky behavior among young persons with SJLsc and eating jetlag, characterized by a higher alcohol consumption, and a diet rich in processed meat and high-fat food, eating during nights, and shorter sleep duration with potential long-term negative health outcomes.

Associations between social jetlag trajectories and body mass index among young adults

STUDY OBJECTIVES

This study employed longitudinal data collected repeatedly from individuals over the course of several years to examine the trajectories of social jetlag from ages 11 to 22 years and their associations with subsequent body mass index (BMI). Potential sex differences were also investigated.

METHODS

Data were obtained from two longitudinal studies conducted in Taiwan (N = 4287). Social jetlag was defined as ≥ 2 hours of absolute difference in sleep midpoint between weekdays and weekends. BMI was calculated using weight (kg)/height(m)2 and categorized as underweight (<18 kg/m2), normal weight (18 kg/m2 ≤ BMI < 24 kg/m2), overweight (24 kg/m2 ≤ BMI < 27 kg/m2), and obese (≥27 kg/m2). Group-based trajectory modeling and multinomial logistic regression were applied to investigate study objectives.

RESULTS

Four distinct trajectories of social jetlag throughout the adolescent years were identified, with corresponding proportions as follows: low-stable (42%), moderate-decreasing (19%), low-increasing (22%), and chronic (17%) trajectories. Among males, the risk of being underweight (aOR, 1.96; 95% CI: 1.35 to 2.84) or obese (aOR, 1.40; 95% CI: 1.02 to 1.92) was higher in individuals with a low-increasing trajectory than in those with a low-stable trajectory. Among females, those with a low-increasing (aOR, 1.61; 95% CI: 1.02 to 2.54) or chronic (aOR, 2.04; 95% CI: 1.27 to 3.25) trajectory were at a higher risk of being obese relative to those with a low-stable trajectory.

CONCLUSIONS

Addressing the development of increasing or chronic social jetlag during adolescence can help prevent abnormal BMI in young adulthood. Practitioners should consider sex differences in treatment or consultation.

Chronotype is associated with addiction-like eating behavior, mindful eating and ultra-processed food intake among undergraduate students

This study aimed to investigate the relationships between chronotype and addiction-like eating behavior, mindful eating and ultra-processed food consumption among undergraduate students. Specific and validated scales were used in order to evaluate chronotype, addiction-like eating behavior and mindful eating (N = 605). Dietary intake was determined by food frequency questionnaire and percentage energy from ultra-processed food was calculated. Self-reported weights and heights were obtained from the participants. Mean scores of scales, social jetlag, energy intake, ultra-processed food intake and BMI were compared by chronotypes. Associations between chronotype, addiction-like eating behavior, mindful eating, ultra-processed food consumption and BMI were determined by Pearson's test. The relationships between chronotype and addiction-like eating behavior, mindful eating and ultra-processed food intake were assessed by linear regression models and adjusted for sex, BMI, energy intake, season, smoking and alcohol consumption. Evening-type participants had higher scores of social jetlag (2.01 ± 0.09), appetitive drive (26.02 ± 0.63), low dietary control (20.50 ± 0.41), addiction-like eating behavior (46.52 ± 0.85), lower scores of recognition (21.91 ± 0.43) and higher percentage energy from ultra-processed food (32.24 ± 1.26%). Chronotype score showed negative associations with addiction like eating behavior (β=-0.247, p < 0.001) and ultra-processed food consumption (β=-0.247, p < 0.001), and a positive association with recognition (β = 0.124, p < 0.001). Results suggest that chronotype is inversely associated with addiction-like eating behavior and ultra-processed food consumption, and positively associated with mindful eating among undergraduate students.

Barriers in the Management of Obesity in Mexican Children and Adolescents through the COVID-19 Lockdown-Lessons Learned and Perspectives for the Future

The COVID-19 lockdown caused health system issues, including the need for long-term care for patients with conditions like childhood obesity. We wanted to know how the lockdown had changed our patients' health and which variables had greater influence in preventing and managing overweight and obesity in kids and teens during and after the lockdown.

METHODS

Our study comprised two phases. The initial descriptive cross-sectional phase included surveys of children who are overweight or obese and their parents/guardians from the Pediatric Obesity Clinic at the Child Welfare Unit (UBI, acronym in Spanish) in the Hospital General de México "Dr. Eduardo Liceaga" (n = 129). The participants were studied to explore changes in lifestyle, physical activity, sleep patterns, eating behaviors, food consumption, anxiety, and depression. In the second phase, the biochemical, body composition, and anthropometric parameters of 29 pre-COVID-19 patients were compared before and after the lockdown.

RESULTS

The survey showed more moderate anxiety and depression, alterations in sleep, physical inactivity, and an increase in the consumption of animal products, fruits, cereals, tubers, sugary drinks, and ultra-processed food. In the study's comparative phase, we observed a substantial increase in BMI z-score (p = 0.01), waist circumference (p < 0.001), fat mass (p < 0.001), percentage of adiposity (p = 0.002), and basal glucose (p = 0.047) and a drop in lean mass (p = 0.008).

CONCLUSIONS

The pandemic led to a loss of routines and socioeconomic changes that made it difficult to address weight and obesity in young people. The results show that managing obesity in our patients involves considering both lifestyle and the social environment. This encourages us to consider a comprehensive and personalized approach.

Subjective Sleep Quality, Caffeine, and Dieting Behaviors Among University-Attending Young Adults

Background

Research has shown that university students engage in behaviors that are associated with poor sleep quality, such as higher caffeine and alcohol intake. Yet studies exploring eating habits and weight loss mechanisms related to sleep quality have generally been inconclusive. This study explored total daily caffeine consumption (along with different sources of caffeine) as well as dieting and exercising to lose weight in the last 30 days as risk factors for poor sleep quality among an undergraduate university population.

Methods

Full-time undergraduate students (n = 400) participated in an anonymous online survey about various health behaviors at a large, mid-Atlantic university. Multivariable linear regressions were run to consider subjective sleep quality in relation to caffeine consumption and dieting behavior along with other covariates. A sensitivity analysis was run to explore how different types of caffeinated beverages were associated with sleep quality as well. All analyses were conducted using SAS JMP Version 16.

Results

A stepwise multivariable linear regression controlling for alcohol use, grade point average, biological sex, and stress showed significant increases in sleep quality scores (indicating worsening sleep quality). Total caffeine consumption remained significant through the models until psychosocial factors were added (B = 0.003, p = 0.0035). The sensitivity analysis indicated that total caffeine consumption from soda remained significant across all models, significantly increasing sleep quality scores (B = 0.01; p = 0.0054).

Discussion

Higher amounts of caffeine from sodas were associated with more significant decreases in sleep quality than other types of caffeine, including energy drinks, coffee, and tea. Dieting or exercising to lose weight was not significantly associated with sleep quality. The results of this study can help to refine intervention efforts designed to improve sleep quality among undergraduate university students. Behavioral interventions specific to reducing caffeine intake, specifically from caffeinated sodas, may prove to be beneficial with this population.

An Examination of the Associations between Nutritional Composition, Social Jet Lag and Temporal Sleep Variability in Young Adults

While dietary intake has previously been related to various indices of poor sleep (e.g., short sleep duration, poor sleep quality), to date, few studies have examined chrononutrition from the perspectives of the relationship between dietary intake and social jet lag and temporal sleep variability. Moreover, recently it has been suggested that previous methods of measuring social jet lag have the potential to lead to large overestimations. Together, this precludes a clear understanding of the role of nutritional composition in the pathophysiology of poor sleep, via social jet lag and temporal sleep variability, or vice versa. The aim of the present study was to determine the relationships between nutrient intake and social jet lag (using a revised index, taking account of intention to sleep and sleep onset and offset difficulties), and temporal sleep variability. Using a cross-sectional survey, 657 healthy participants (mean age 26.7 ± 6.1 years), without sleep disorders, were recruited via an online platform and completed measures of weekly dietary intake, social jet lag, temporal sleep variability, stress/sleep reactivity and mood. Results showed limited associations between nutritional composition and social jet lag. However, levels of temporal sleep variability were predicted by consumption of polyunsaturated fats, sodium, chloride and total energy intake. The results suggest further examinations of specific nutrients are warranted in a first step to tailoring interventions to manage diet and temporal variabilities in sleep patterns.

Association of Eating Pattern, Chronotype, and Social Jetlag: A Cross-Sectional Study Using Data Accumulated in a Japanese Food-Logging Mobile Health Application

Chronotype (morningness-eveningness) and social jetlag (SJL; discrepancy in the sleep pattern between the weekday and weekend) are related to eating behavior and health. The association between sleep behavior and the daily macro- and micronutrient eating pattern of each meal (breakfast, lunch, and dinner) have not been discussed well and need more evidence. Here, meal pattern datasets of Japanese participants aged 20-59 years were obtained as averages over 1 month from the data stored in the food-logging app "Asken". We allocated three groups for each chronotype and SJL. Multiple regression analyses revealed that morning chronotype and small SJL were associated with higher total daily intake of potassium, fiber, magnesium, phosphorus, and vitamin K. Breakfast energy intake and consumption of nutrients, including protein, lipid, carbohydrate, and minerals, were higher in the morning chronotype or small SJL. Lunch intake of potassium, cholesterol, fiber, magnesium, and vitamin K was also higher in the morning chronotype or small SJL. Dinner energy intake and nutrient intake of proteins, lipids, carbohydrates, sodium, and saturated fatty acids were lower in the morning chronotype or small SJL. The current data would help to establish a detailed reference for dietary intake which considers eating patterns over a day.

Planetary sleep medicine: Studying sleep at the individual, population, and planetary level

Circadian rhythms are a series of endogenous autonomous oscillators that are generated by the molecular circadian clock which coordinates and synchronizes internal time with the external environment in a 24-h daily cycle (that can also be shorter or longer than 24 h). Besides daily rhythms, there exist as well other biological rhythms that have different time scales, including seasonal and annual rhythms. Circadian and other biological rhythms deeply permeate human life, at any level, spanning from the molecular, subcellular, cellular, tissue, and organismal level to environmental exposures, and behavioral lifestyles. Humans are immersed in what has been called the "circadian landscape," with circadian rhythms being highly pervasive and ubiquitous, and affecting every ecosystem on the planet, from plants to insects, fishes, birds, mammals, and other animals. Anthropogenic behaviors have been producing a cascading and compounding series of effects, including detrimental impacts on human health. However, the effects of climate change on sleep have been relatively overlooked. In the present narrative review paper, we wanted to offer a way to re-read/re-think sleep medicine from a planetary health perspective. Climate change, through a complex series of either direct or indirect mechanisms, including (i) pollution- and poor air quality-induced oxygen saturation variability/hypoxia, (ii) changes in light conditions and increases in the nighttime, (iii) fluctuating temperatures, warmer values, and heat due to extreme weather, and (iv) psychological distress imposed by disasters (like floods, wildfires, droughts, hurricanes, and infectious outbreaks by emerging and reemerging pathogens) may contribute to inducing mismatches between internal time and external environment, and disrupting sleep, causing poor sleep quantity and quality and sleep disorders, such as insomnia, and sleep-related breathing issues, among others. Climate change will generate relevant costs and impact more vulnerable populations in underserved areas, thus widening already existing global geographic, age-, sex-, and gender-related inequalities.