Sleep indices and eating behaviours in young adults: findings from Project EAT. Public Health Nutr. 2018;21:689-701. [PMID: 29208064 DOI: 10.1017/s1368980017003536]

Adult Development and Associated Health Risks

Much has been learned about adult development in recent decades. Adults go through stages of development (emerging adulthood, young adulthood, middle adulthood, post-retirement, and very old age) with certain challenges at each stage. Viewing patients through a developmental lens is part of providing patient-centered care. Knowing the prominent issues, stressors, and risks at each stage of development is important in understanding patients. This knowledge can help customize medical advice to patients regarding obesity, disability, sleep, substance use, relationships, and age-related declines. This paper summarizes an updated view of adult development and discusses its relevance to health risks and patient-centered care practices at different stages.

Prevalence of energy drink consumption world-wide: A systematic review and meta-analysis

BACKGROUND AND AIMS

The increasing market for energy drinks (EDs) in recent years, as well as the health risks caused by their consumption, prompt calls to estimate the prevalence of ED use among different countries. This systematic review and meta-analysis aimed to synthesize the prevalence of ED use in different continents and age groups.

METHOD

We searched two databases (i.e. PubMed and PsycInfo) on 31 March 2023 to identify studies reporting the prevalence of ED use. A total of 192 studies (196 distinct samples; n = 1 120 613; 53.37% males) from the United States, Europe, Asia, Oceania and Africa were included in the analysis. A random-effects model was applied to estimate the overall pooled prevalence at several time-periods. Subgroup analyses were performed to provide prevalence based on continent and age group. The quality of articles was assessed using Joana Brigg's Institute (JBI) critical appraisal checklist. Measurements included prevalence of ED use (i.e. life-time, past 12 months, past 30 days, past 7 days and daily use), continent and age group (i.e. children, adolescents, young adults and adults).

RESULTS

The life-time ED use world-wide-pooled prevalence was estimated to be 54.7% [95% confidence interval (CI) = 48.8-60.6; I2  = 99.80], 43.4% (95% CI = 36.1-50.6; I2  = 99.92) in the past 12 months, 32.3% (95% CI = 28.8-35.8; I2  = 99.82) in the past 30 days, 21.6% (95% CI = 18.7-24.5; I2  = 99.95) in the past 7 days and 8.82% (95% CI = 6.3-11.4; I2  = 99.95) daily ED use. Subgroups analyses showed significant differences in ED life-time use within age groups (P = 0.002) and continents (P = 0.035).

CONCLUSIONS

The world-wide prevalence of energy drink use appears to be high, particularly among adolescents and young adults.

Cross-sectional associations of actigraphy-assessed sleep with dietary outcomes in emerging adults

BACKGROUND/OBJECTIVES

Emerging adults (~18-28 years of age) have a high prevalence of poor sleeping habits and poor diet quality; however, little is known on whether these poor sleeping habits are associated with dietary outcomes in this age group. This study assessed associations between actigraphy-based sleep with energy intake (EI), overall diet quality, and measures of meal timing in emerging adults.

SUBJECTS/METHODS

Data on 135 emerging adults (age = 19.4 ± 1.3 years; body mass index (BMI) = 26.5 ± 6.9 kg/m2; 58% female; 65% White) from the RIGHT Track Health project were used. Measures included actigraphy-assessed sleep duration, sleep efficiency, sleep timing midpoint, day-to-day sleep duration and sleep timing midpoint variability and combined sleep duration and sleep timing behaviors (early-bed/late-rise, early-bed/early-rise, late-bed/late-rise, late-bed/early-rise); EI (three 24-h dietary recalls), diet quality (Healthy Eating Index 2015 total score) and meal timing outcomes (timing of first and last meal intake, total duration, and midpoint of the eating window).

RESULTS

Shorter sleep duration, later sleep timing midpoint and greater sleep efficiency, as well as combined late-bed/late-rise and late-bed/early-rise groups, were associated with lower diet quality. Greater sleep timing midpoint variability was associated with higher EI, and the late-bed/early-rise group had significantly delayed first meal timing.

CONCLUSION

In emerging adults, shorter sleep duration and later sleep timing are associated with lower overall diet quality, and greater sleep timing variability is associated with higher EI. Future research is needed to examine the role of sleep on diet quality and eating habits to identify potential targets for nutritional interventions in this age group.

Effects of sleep on breakfast behaviors in recently unemployed adults

OBJECTIVES

Skipping meals is linked to negative cardiometabolic health outcomes. Few studies have examined the effects of breakfast skipping after disruptive life events, like job loss. The present analyses examine whether sleep timing, duration, and continuity are associated with breakfast eating among 186 adults who recently (past 90 days) experienced involuntary unemployment from the Assessing Daily Activity Patterns Through Occupational Transitions (ADAPT) study.

METHODS

We conducted both cross-sectional and 18-month longitudinal analyses to assess the relationship between actigraphic sleep after job loss and breakfast eating.

RESULTS

Later sleep timing was associated with a lower percentage of days breakfast was eaten at baseline (B = -0.09, SE = 0.02, P < .001) and longitudinally over 18 months (estimate = -0.04; SE = 0.02; P < .05). No other sleep indices were associated with breakfast consumption cross-sectionally or prospectively.

CONCLUSIONS

Unemployed adults with a delay in sleep timing are more likely to skip breakfast than adults with an advancement in sleep timing. Future studies are necessary to test chronobiological mechanisms by which sleep timing might impact breakfast eating. With the understanding that sleep timing is linked to breakfast eating, the advancement of sleep timing may provide a pathway for the promotion of breakfast eating, ultimately preventing cardiometabolic disease.

Temporal associations between nightly sleep with daytime eating and activity levels in free-living young adults

STUDY OBJECTIVES

This study aimed to quantify the temporal associations between nightly sleep quantity and timing with daytime eating behavior and activity levels in free-living (i.e. non-experimental) settings.

METHODS

Generally healthy young adults (N = 63; 28.9 ± 7.1 years) completed concurrent sleep (wrist actigraphy), eating (photo-assisted diet records), and activity (waist actigraphy) assessments over 14 days. Multilevel models quantified the associations between nightly sleep (total sleep time, timing of sleep and wake onset) with next-day eating behavior (diet quality, caloric intake, timing of eating onset/offset, eating window duration) and activity levels (total physical activity, sedentary time). Associations in the reverse direction (i.e. eating and activity predicting sleep) were explored. Models adjusted for demographic and behavioral confounders and accounted for multiple testing.

RESULTS

At within- and between-subject levels, nights with greater-than-average total sleep time predicted a shorter eating window the next day (all p ≤ 0.002). Later-than-average sleep and wake timing predicted within- and between-subject delays in next-day eating onset and offset, and between-subject reductions in diet quality and caloric intake (all p ≤ 0.008). At within- and between-subject levels, total sleep time was bidirectionally, inversely associated with sedentary time (all p < 0.001), while later-than-average sleep and wake timing predicted lower next-day physical activity (all p ≤ 0.008).

CONCLUSIONS

These data underscore the complex interrelatedness between sleep, eating behavior, and activity levels in free-living settings. Findings also suggest that sleep exerts a greater influence on next-day behavior, rather than vice versa. While testing in more diverse samples is needed, these data have potential to enhance health behavior interventions and maximize health outcomes.

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.

A systematic review and meta-analysis of the association between young adults' sleep habits and substance use, with a focus on self-medication behaviours

Young adults (18-30 years) are vulnerable to sleep-wake disturbances and substance use, which are bi-directionally associated. The present work aims to organise the literature that deals with the association between sleep and substance use in young adults, also considering self-medication behaviours. We adopted a framework that accounts for the multidimensionality of sleep and the effect of different substances. We considered sleep disturbances (insomnia symptoms, sleep quality), sleep health dimensions (duration, satisfaction, efficiency, timing, daytime alertness), circadian characteristics (chronotype). Substances were alcohol, caffeine, nicotine, cannabis, others. We included 46 studies. The use of caffeine and nicotine was associated with higher odds of sleep disturbances. No significant effect was detected for sleep duration. In narrative findings, daytime dysfunction was associated with alcohol and caffeine use, and poor sleep satisfaction with nicotine use. Few evidence were available for the other sleep health dimensions. Evening chronotype was associated with alcohol, caffeine, and nicotine use. Few studies focused on cannabis or self-medication. Longitudinal results were inconclusive. We found a distinct pattern of associations between different substances and different sleep outcomes. Further investigation considering the multidimensionality of sleep would create a better understanding of the complex relationship between substance use and sleep health in young adults.

Association between short sleep duration and intake of sugar and sugar-sweetened beverages: A systematic review and meta-analysis of observational studies

BACKGROUND

Findings of previous investigations that evaluated the relationship between sleep duration and sugar or sugar-sweetened beverages (SSBs) intake have been inconsistent. We aimed to summarize extant research that assessed the relation between short sleep duration and sugar and SSB intake.

METHODS

A comprehensive search of PubMed, ISI Web of Sciences, Scopus, Science Direct, Embase, and Google Scholar was conducted. All observational studies that reported sleep duration as the exposure and intake of sugar or sugary drinks as the outcome were included. The quality of included studies was evaluated using the Newcastle-Ottawa Scale. The body of evidence was assessed using the GRADE approach. Random and fixed effects models were used to estimate pooled OR and 95% confidence intervals.

RESULTS

Twenty-two studies in children and twelve in adults were included in the systematic review. Only 10 studies in children and 3 investigations in adults provided odds ratios (95% confidence intervals) for this association and could be included in the meta-analysis. All studies had a cross-sectional design and found a negative association between sleep duration and sugar in children, but not in adults. SSB intake was lower in those with sufficient sleep in all populations. Compared with those with sufficient sleep, children with short sleep duration had 16% (significant) higher odds of consuming sugar (OR: 1.16; 95% CI: 1.10, 1.21), 21% higher odds of soda intake (OR: 1.21; 95% CI: 1.16, 1.26), and 92% higher odds of consuming energy drink intake (OR: 1.92; 95% CI: 1.66, 2.22). However, sleep duration was not significantly associated with soft drink intake in children (OR: 1.17; 95% CI: 0.93, 1.48). In adults, the odds of drinking soda in those with short sleep duration was 1.2 times more than in those with sufficient sleep (OR: 1.20; 95% CI: 1.12, 1.28). Also, low vs. optimal sleep duration in adults was associated with a 58% increased intake of energy drinks (OR: 1.58; 95% CI: 1.31, 1.90). Of note, these findings in the adult population resulted from only 2 included investigations, due to the limited number of studies.

CONCLUSION

The evidence reviewed supports a significant association between shorter sleep duration and higher SSBs intake in both children and adults, while such association with higher total sugar intake was significant in children but not in adults. Further research with more accurate measurements, sex-specific, and prospective designs should be carried out to clarify the causality and underlying mechanisms.

Disparities in sleep duration among American children: effects of race and ethnicity, income, age, and sex

Children in the United States sleep less than the recommended amount and sleep deficiencies may be worse among disadvantaged children. Prior studies that compared sleep time in children of different race/ethnic groups mostly relied on questionnaires or were limited to small sample sizes. Our study takes advantage of the Adolescent Brain Cognitive Development study to compare total sleep time using a week of actigraphy data among American children (n = 4,207, 9 to 13 y old) of different racial/ethnic and income groups. We also assessed the effects of neighborhood deprivation, experience of discrimination, parent's age at child's birth, body mass index (BMI), and time the child fell asleep on sleep times. Daily total sleep time for the sample was 7.45 h and race/ethnicity, income, sex, age, BMI, were all significant predictors of total sleep time. Black children slept less than White children (∼34 min; Cohen's d = 0.95), children from lower income families slept less than those from higher incomes (∼16 min; Cohen's d = 0.44), boys slept less than girls (∼7 min; Cohen's d = 0.18), and older children slept less than younger ones (∼32 min; Cohen's d = 0.91); mostly due to later sleep times. Children with higher BMI also had shorter sleep times. Neither area deprivation index, experience of discrimination, or parent's age at child's birth significantly contributed to sleep time. Our findings indicate that children in the United States sleep significantly less than the recommended amount for healthy development and identifies significant racial and income disparities. Interventions to improve sleep hygiene in children will help improve health and ameliorate racial disparities in health outcomes.

Assessing temporal eating pattern in free living humans through the myCircadianClock app

The quality and quantity of nutrition impact health. However, chrononutrition, the timing, and variation of food intake in relation to the daily sleep-wake cycle are also important contributors to health. This has necessitated an urgent need to measure, analyze, and optimize eating patterns to improve health and manage disease. While written food journals, questionnaires, and 24-hour dietary recalls are acceptable methods to assess the quantity and quality of energy consumption, they are insufficient to capture the timing and day-to-day variation of energy intake. Smartphone applications are novel methods for information-dense real-time food and beverage tracking. Despite the availability of thousands of commercial nutrient apps, they almost always ignore eating patterns, and the raw real-time data is not available to researchers for monitoring and intervening in eating patterns. Our lab developed a smartphone app called myCircadianClock (mCC) and associated software to enable long-term real-time logging that captures temporal components of eating patterns. The mCC app runs on iOS and android operating systems and can be used to track multiple cohorts in parallel studies. The logging burden is decreased by using a timestamped photo and annotation of the food/beverage being logged. Capturing temporal data of consumption in free-living individuals over weeks/months has provided new insights into diverse eating patterns in the real world. This review discusses (1) chrononutrition and the importance of understanding eating patterns, (2) the myCircadianClock app, (3) validation of the mCC app, (4) clinical trials to assess the timing of energy intake, and (5) strengths and limitations of the mCC app.

Weekday sleep duration and morning tiredness are independent covariates of breakfast skipping in adolescents

BACKGROUND/OBJECTIVES

Although regular breakfast consumption is associated with various health benefits, many adolescents skip this meal, particularly those with shorter sleep durations. In order to better understand the association between sleep duration and breakfast consumption among youth, we analyzed the association between weekday morning tiredness and daily breakfast consumption in adolescents, and explored the mediating role of morning tiredness in the association between sleep duration and daily breakfast consumption on weekdays.

SUBJECTS/METHODS

The "Health Behaviour in School-aged Children" survey conducted in 2018 in French-speaking Belgian schools provided data (n = 8444 11-20-year-old adolescents) on bed- and wake-up times, and on the frequency of breakfast consumption and morning tiredness on weekdays. Multivariable logistic regressions and mediation analyses assessed the association, on weekdays, of morning tiredness (≥4 school mornings a week vs. less) and sleep duration (hours), with daily breakfast consumption, and the mediating role of morning tiredness.

RESULTS

Feeling tired ≥4 school mornings a week was associated with lower odds of daily breakfast consumption on weekdays (aOR = 0.77 (95% CI 0.69-0.86)). In turn, on weekdays, sleep duration was positively associated with daily breakfast consumption (aOR = 1.29 (95% CI 1.23-1.36)), even after adjustment for morning tiredness (aOR = 1.28 (95% CI 1.21-1.35)). Morning tiredness only explained 4.9% of the association between sleep duration and daily breakfast consumption.

CONCLUSION

Our findings suggest that in adolescents, sleep duration and morning tiredness are independent correlates of daily breakfast consumption on weekdays.

Metabolic Risk Factors in Young Men With Healthy Body Fat But Different Level of Physical Activity

The study was performed to evaluate metabolic risk in young lean individuals characterized by different physical activity. A total of 194 students (93 active with 5–7 h weekly physical activity and 101 inactive) were accepted for the study. The following percentages of body fat were accepted as characteristic for lean men: 14% to 17% in active and 18% to 24% in inactive participants. Circulating glucose, insulin, triacylglycerols (TG), total cholesterol (TC), and high-dendity lipoprotein (HDL)-cholesterol (HDL-C) were assayed. Daily intake of energy and macronutrients was briefly assessed from 24 h food records collected over 4 days preceding blood collection. Insulin and TG differed with respect to physical activity and was lower by 37.5% and 12.5%, respectively, in active versus inactive participants. In active students with upper quartile of body fat percentage, the only significant difference was found between circulating insulin (by 28%, p < .04). In inactive participants with upper quartile of body fat, significant differences were found between levels of insulin and TG (by 25% and by 37.5%, respectively). Diet composition did not differ with respect to the percentage of energy derived from protein, fat, and carbohydrates. An inverse association between insulin level and the percentage of body fat seems to be physiological one because it has been noted in both active and inactive individuals. On the contrary, elevation in circulating TG found exclusively in inactive subjects seems to be secondary to the changes in adiposity and circulating insulin and is followed by tendency to higher levels of TC.

A longitudinal study of sleep, weight status, and weight-related behaviors: Childhood Obesity Study in China Mega-cities

BACKGROUND

The aim of the study was to examine correlates of sleep and assess its associations with weight status and related behaviors.

METHODS

Data were collected in 2015-2017 for 3298 children aged 6-17 years and their parents in 5 Chinese mega-cities. One thousand six hundred and ninety-one children with measured weight, height, and waist circumference in ≥2 surveys were included for longitudinal data analyses. Sleep and behaviors were self-reported.

RESULTS

Cross-sectional data analyses found that older (β = -0.29, 95% CI: -0.32, -0.27) and secondary school children (β = -1.22, 95% CI: -1.31, -1.13) reported shorter sleep than their counterparts. Children with ≥college-educated (vs <college) fathers (β = 0.17, 95% CI: 0.04, 0.31) or mothers (β = 0.16, 95% CI: 0.04, 0.29) reported longer sleep. Longer sleep was longitudinally associated with less sugar-sweetened beverage intake (β = -0.12 days/h sleep, 95% CI: -0.20, -0.03), more healthy snacks intake (β = 0.13 days/h sleep, 95% CI: 0.02, 0.25) and having breakfast (β = 0.07 days/h sleep, 95% CI: 0.04, 0.11), and shorter total screen time (β = -0.22 h/h sleep, 95% CI: -0.65, -0.21) and surfing the internet/computer time (β = -0.06 h/h sleep, 95% CI: -0.09, -0.04) among all children. Longer sleep reduced the risk of central obesity (OR = 0.46, 95% CI: 0.25, 0.85) for girls.

CONCLUSIONS

Sleep among urban Chinese children varies by demographic factors. Longer sleep is associated with healthier weight-related behaviors and lower central obesity risk.

IMPACT

Longer sleep was observed in younger, primary school children and children with college-educated parents. Longer sleep increased healthier weight-related behaviors and reduced general and central obesity risk. Provides data on the correlates of sleep duration of children. Gives insights on longitudinal relationships of sleep duration with weight-related behaviors and obesity risk. Findings help inform sleep interventions to increase sleep duration to prevent childhood obesity and unhealthy weight-related behaviors in urban settings of developing countries.

Consistency where it counts: Sleep regularity is associated with circulating white blood cell count in young adults

Background

Sleep irregularity is predictive of poor health outcomes, and particularly those of cardiometabolic origins. The immune system is implicated in the pathogenesis of cardiometabolic diseases, however the relation between sleep regularity and immune cell profile is unclear.

Methods and results

Forty-two healthy young adults (20 ​± ​2 years) completed 14 days of 24-h wrist actigraphy followed by a morning blood sample to evaluate circulating white blood cells (WBC) and subtypes (neutrophils, lymphocytes, monocytes). Sleep regularity was operationalized as the standard deviation (SD) of nightly sleep duration and SD of sleep onset time. Every 60-min increase in sleep duration SD was associated with an estimated 2.7 ​± ​0.60 x10³ ​cells/μL (p<0.001) increase in total WBC count, while every 60-min increase in sleep onset SD was associated with an estimated 2.4 ​± ​0.60 x10³ ​cells/μL (p<0.001) increase in WBCs. Sleep duration SD was also associated with lymphocyte count (11.5 ​± ​3.8 ​cells/μL per 1-min increase, p<0.01), while sleep onset SD was associated with neutrophil (34.7 ​± ​9.8 ​cells/μL per 1-min increase, p<0.01) and monocyte counts (3.0 ​± ​0.9 ​cells/μL per 1-min increase, p<0.01). Sleep regularity metrics remained significantly associated with WBCs in a series of regressions which adjusted for sex, body mass index, resting blood pressure, mean sleep duration, physical activity, dietary sodium, and alcohol consumption.

Conclusions

Unfavorable associations between irregular sleep patterns and circulating immune cells are apparent in young adulthood. These findings contribute to the growing body of evidence suggesting that consistent sleep schedules are an important dimension of sleep and circadian health and may reduce excess chronic disease risk.

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Young adults with irregular sleep patterns have higher total white blood cell count.

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Sleep irregularity is also associated with neutrophils, lymphocytes, and monocytes.

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Associations remain significant after adjusting for several key confounders.

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Consistent sleep patterns may assist in preventing inflammatory-mediated diseases.

Sugar-Sweetened Beverage Consumption and Sleep Duration and Quality Among Pregnant Women

OBJECTIVE

To examine sugar-sweetened beverage (SSB) consumption, sleep duration, and quality during pregnancy.

METHODS

Pregnant women completed 3 24-hour dietary recalls and the Pittsburgh Sleep Quality Index. Logistic regression models estimated odds of short sleep duration (< 7 h/night) and poor sleep quality (Pittsburgh Sleep Quality Index score > 5) by SSB consumption (servings/d averaged across 3 days).

RESULTS

Participants (n = 108) were a median age of 30 years old (interquartile range [IQR], 26-33) and at 23.9 weeks gestation (IQR, 18.9-30.6). Participants consumed a median of 0.4 servings of SSBs per day on average (IQR, 0-1.1; range, 0-4.6). Fifty-two percent reported poor quality sleep and 38% short sleep. Each additional serving of SSB was associated with higher odds of short sleep (adjusted odds ratio, 1.6; 95% confidence interval, 1.1-2.5) and poor sleep quality (adjusted odds ratio, 2.1; 95% confidence interval, 1.2-3.6).

CONCLUSIONS AND IMPLICATIONS

SSB consumption may be a modifiable risk factor for short/poor sleep during pregnancy. Longitudinal research is needed to explore the interplay between SSB consumption and sleep.

Caffeine Consumption in a Group of Adolescents from South East Poland-A Cross Sectional Study

Caffeine is the most common psychoactive substance available to adults, as well as to children and adolescents. The safety of its use in younger age groups requires further research. The aim of this study was to evaluate caffeine intake, to identify products and drinks that are the main sources of caffeine intake in the diet of the subjects and the risk of excessive caffeine intake with the diet of adolescents, stratified by gender. A cross-sectional study was conducted among 508 adolescents aged 16–18 years from southern Poland. Black tea, cola-based soft drinks and milk chocolate were the most frequently consumed products containing caffeine in the diet of the examined persons. The average caffeine intake was 95.54 mg/day (1.54 mg/kg b.w.). In 12.2% of the subjects the dose of 3 mg/kg b.w./day was exceeded, and in over 41.3% the dose causing sleep disorders was exceeded. The dose causing anxiety was also exceeded in 18.1% of the respondents, significantly more often in girls than boys (p = 0.0487).

Sleep Deprivation and Its Associated Factors Among Undergraduate Students in Malaysia

This cross-sectional study examines the prevalence of sleep deprivation and its associated factors among 1017 undergraduate students in Malaysia. Sociodemographic and lifestyle factors such as smoking, alcohol, dietary habits, Internet/smartphone use, physical activity, and sedentary behavior were assessed. Sleep deprivation was defined as sleeping less than 7 hours in a day. There were almost equal proportions of females (51.0%) and males (49.0%), and the average age was 20.71 ± 1.47 years. Prevalence of sleep deprivation was 58.1% and its associated factors were students in Year 3 (adjusted odds ratio [AOR] = 0.52, 95% confidence interval [CI] = 0.35-0.77) and Year 4 (AOR = 0.65, 95% CI = 0.45-0.95), Chinese ethnicity (AOR = 0.44, 95% CI = 0.34-0.59), Indian ethnicity (AOR = 0.49, 95% CI = 0.25-0.96), and consuming fast food more than once a week (AOR = 0.69, 95% CI = 0.51-0.93). Understanding the associated lifestyle factors with sleep deprivation among young generation will be beneficial to develop public health policies and programs to tackle the issue.

Impact of COVID-19 on health-related behaviours, well-being and weight management

BACKGROUND

Weight management is complex for people even in times of stability. Supporting individuals to develop strategies to maintain a healthier weight when there are additional life challenges may prevent relapse. This mixed-methods study describes the impact the COVID-19 restrictions had on adults engaged in weight management before and during the pandemic in order to determine helpful strategies.

METHODS

Longitudinal data was captured from online surveys completed by Slimming World (SW) members 0-4 weeks after joining, October/November 2019, providing pre-joining and baseline (T0&T1), 3- (T2) and 6- month (T3-during COVID-19) data. Representatives from the general population, not attending a weight management service, completed the same questionnaires providing cross-sectional control data. All weights are self-reported. For this study, questions assessing the impact of the COVID-19 challenges on health-related behaviours and well-being are included comparing responses at T0/T1, T2 & T3. Longitudinal data were analysed using repeated measures ANOVA and cross-sectional data, one-way independent ANOVAs to compare means. Comparisons between SW members and controls were determined using z-proportion tests. Qualitative data generated was thematically analysed using a six-step approach to produce the key emerging themes.

RESULTS

222 SW members completed all three surveys, achieving a weight loss of 7.7 ± 7.5%. They maintained positive health-related behaviour changes made since joining, including increased fruit and vegetables (p < 0.001), fewer sugary drinks (p < 0.001), cooking from scratch (p < 0.001) and increased activity levels (p < 0.001). Despite COVID-19 restrictions, they were still reporting improvements in all behaviours and had healthier scores than the controls on all but alcohol intake, although still within guidelines. Qualitative data indicated that the situation created various challenges to managing weight with fresh foods harder to access, comfort eating, drinking more alcohol, eating more sugary foods and snacking through boredom. However, some reported having more free time enabling better planning, more time to cook from scratch and increased physical activity.

CONCLUSIONS

The findings highlight the value of peer, group and online support and guidance for individuals to develop sustainable behaviour changes and a level of resilience. These strategies can then be drawn upon enabling maintenance of lifestyle changes and management of weight even in challenging times.

Sleep Status and the Associated Factors: A Large Cross-Sectional Study in Shaanxi Province, China

This study aimed at investigating the sleep status and its associated factors in Shaanxi province, China. We conducted a cross-sectional study among 11,399 subjects in Shaanxi Province, China. Data were collected via spot field questionnaire surveys. The contents included demographic characteristics, sleep status, lifestyles, disease history and other associated factors. Logistic regression analysis was used to estimate the effect of associated factors on sleep quality. A total of 11,036 subjects were included in the final analysis. In total, 12.8% of the participants had bad or very bad sleep. In the last month, 8.4% of the participants had difficulty in initiating sleep, 7.6% of the participants had difficulty in maintaining sleep, 8.8% of the participants suffered from awakening earlier and 10.3% of the participants had the problem of feeling sleepy during the day ≥3 times per week. Poorer sleep quality was associated with being female, being unmarried or without cohabiting with a boyfriend/girlfriend, being divorced or widowed, heart diseases, musculoskeletal diseases, concerns about their own health, drinking alcohol, taking hypnotics, and a longer daily screen time. Better sleep quality was associated with medium education level, high family monthly income, good self-reported health status, and having breakfast regularly. In conclusion, more than one in ten people did not sleep well and suffered from different sleep problems in Shaanxi, China. Sleep quality was associated with sex, marital status, educational level, family monthly income, heart disease, musculoskeletal diseases, degree of concerning about their own health, self-reported health status, drinking alcohol, having breakfast, taking hypnotics and daily screen time.

Is late bedtime an overlooked sleep behaviour? Investigating associations between sleep timing, sleep duration and eating behaviours in adolescence and adulthood

OBJECTIVE

To examine whether bedtime is associated with usual sleep duration and eating behaviour among adolescents, emerging adults and young adults.

DESIGN

Cross-sectional multivariable regression models, stratified by developmental stage, to examine: (1) association between bedtime and sleep duration and (2) associations between bedtime and specific eating behaviours at each developmental period, controlling for sleep duration. All models adjusted for sociodemographic characteristics, depressive symptoms and screen time behaviours.

SETTING

National Longitudinal Study of Adolescent to Adult Health, waves I-IV, USA.

PARTICIPANTS

A national probability sample surveyed in adolescence (aged 12-18 years, wave I: 1994-1995, n 13 048 and wave II: 1996, n 9438), emerging adulthood (aged 18-24 years, wave III: 2001-2002, n 9424) and young adulthood (aged 24-34 years, wave IV: 2008, n 10 410).

RESULTS

Later bedtime was associated with shorter sleep duration in all developmental stages, such that a 1-h delay in bedtime was associated with 14-33 fewer minutes of sleep per night (Ps < 0·001). Later bedtime was also associated with lower odds of consuming healthier foods (i.e. fruits, vegetables; range of adjusted OR (AOR), 0·82-0·93, Ps < 0·05) and higher odds of consuming less healthy foods and beverages (i.e. soda, pizza, desserts and sweets; range of AOR, 1·07-1·09, Ps < 0·05). Later bedtime was also associated with more frequent fast-food consumption and higher sugar-sweetened beverage consumption (Ps < 0·05).

CONCLUSIONS

Later bedtime was associated with shorter sleep duration and less healthy eating behaviours. Bedtime may be a novel behaviour to address in interventions aiming to improve sleep duration and dietary intake.

Association between sleep duration and sleep quality with sugar and sugar-sweetened beverages intake among university students

BACKGROUND AND AIM

Both short sleep duration and intake of sugar or sugar-sweetened beverages (SSBs) are associated with weight gain; but the linkage between sleep characteristics and sugar or SSBs intake was less studied. We aimed to evaluate the associations of sleep duration and sleep quality with sugar and SSBs intake among Iranian adults.

METHOD

This cross-sectional study consisted of 395 adults chosen among students of Isfahan University of Medical Sciences, based on a multistage cluster random sampling method. Sleep characteristics and dietary intakes and were assessed using the Pittsburgh Sleep Quality Index (PSQI) and a 147-item validated food frequency questionnaire, respectively.

RESULTS

Mean age and percentage of women in the study population were 22.79 (year) and 51.8%, respectively. No significant difference was observed between sleep duration and sugar intake, but short sleepers (< 6 h/d) had higher consumption of SSBs intake (86.54 vs. 65.73 g/day; P = 0.05) in comparison with those who had more than 8 h/d of sleep. Poor quality sleepers had significantly higher intake of SSBs compared with those with good quality of sleeping (87.09 vs. 56.73 g/day; P = 0.004). No significant correlation was found between sleep duration and SSBs intake. However, sleep quality score was positively correlated with SSBs intake (r_p:0.14, P = 0.007) in whole population, such that higher quality score (defined as poor sleep quality) was correlated with greater consumption of SSBs. Similar results were found in younger individuals (r_p:0.27, P = 0.002) and non-obese participants (r_p:0.14, P = 0.006).

CONCLUSION

We found that sleep duration was not associated with sugar or SSBs intake in Iranian adults. Poor sleep quality was correlated with high consumption of SSBs, especially in younger and non-obese individuals. More prospective investigations are required to confirm these findings.

Associations between dietary consumption and sleep quality in young Japanese males

PURPOSE

Poor sleep quality has been reported to be a risk factor for cardiovascular disease, diabetes, and metabolic syndrome, as well as mental disorders including depression and anxiety. However, few studies have investigated the association between sleep quality and diet in young males. We aimed to assess this association, adjusting for psychological factors.

METHODS

In this study, a total of 124 male Japanese students were analyzed. Sleep quality, diet, and psychological symptoms were assessed using self-reported questionnaires, including the Pittsburgh Sleep Quality Index (PSQI), brief-type self-administered diet history questionnaire (BDHQ), 12-item General Health Questionnaire (GHQ12), and State-Trait Anxiety Inventory (STAI) A-Trait scale.

RESULTS

Among participants, 40% exhibited a PSQI total score ≥ 6, indicating poor sleep quality. Poor sleep quality was associated with poor mental health status and higher levels of anxiety. After adjusting for covariates including these psychological factors, poor sleep quality was significantly associated with low intakes of fat, beta-carotene, retinol, alpha-tocopherol, vitamin K, vitamin B₁, daidzein, genistein, and iron. Poor sleep quality was also associated with low intake of pulses, fat and oil, as well as high intakes of sugar-sweetened beverages.

CONCLUSIONS

Our findings demonstrated that sleep quality among young Japanese males was associated with specific dietary features, independently of psychological status, which may help to elucidate the mechanisms underlying the link between sleep and sleep-related diseases.

Dietary behaviors and poor sleep quality among young adult women: watch that sugary caffeine!

PURPOSE

Associations of dietary patterns with sleep quality have not been sufficiently studied, particularly among young adults. Studying factors associated with sleep quality among young adults are especially important given the significant life changes they are experiencing, which can influence not only sleep quality but also dietary behaviors.

METHODS

We examined the cross-sectional association of sleep quality among 462 women at age 23 years. We used the Pittsburg Sleep Quality Index (PSQI) to define sleep quality. Intake over the previous 7 days of fruits and vegetables, soda, sports drinks, other sweetened drinks, and coffee drinks was assessed by a self-report questionnaire. Linear regression analysis examined the association between PSQI scores and dietary intake.

RESULTS

About 47% of participants were White, 25% Black, 10% Hispanic, and 18% Other. Almost ½ (45%) reported poor sleep quality. Compared with participants reporting consuming no energy drinks, participants who reported consuming any energy drinks had PSQI scores that were 0.84 points higher (7.08 ± 0.51 vs 6.24 ± 0.39; p=0.04) (indicating poorer sleep quality). Participants who reported drinking one or more high-calorie coffee drinks had PSQI scores that were 1.00 points higher compared with those reporting drinking no high-calorie coffee drinks (7.14 ± 0.51 vs 6.14 ± 0.42; p=0.02). Fruit or vegetable intake was not associated with PSQI score.

CONCLUSIONS

Poor sleep quality is prevalent among young women. Young women with poor sleep quality should consider their sugary caffeine use to determine if it may be associated with their sleep.

Healthy Eating, Physical Activity, and Sleep Hygiene (HEPAS) as the Winning Triad for Sustaining Physical and Mental Health in Patients at Risk for or with Neuropsychiatric Disorders: Considerations for Clinical Practice

Neuropsychiatric disorders stem from gene-environment interaction and their development can be, at least in some cases, prevented by the adoption of healthy and protective lifestyles. Once full blown, neuropsychiatric disorders are prevalent conditions that patients live with a great burden of disability. Indeed, the determinants that increase the affliction of neuropsychiatric disorders are various, with unhealthy lifestyles providing a significant contribution in the interplay between genetic, epigenetic, and environmental factors that ultimately represent the pathophysiological basis of these impairing conditions. On one hand, the adoption of Healthy Eating education, Physical Activity programs, and Sleep hygiene promotion (HEPAS) has the potential to become one of the most suitable interventions to reduce the risk to develop neuropsychiatric disorders, while, on the other hand, its integration with pharmacological and psychological therapies seems to be essential in the overall management of neuropsychiatric disorders in order to reduce the disability and improve the quality of life of affected patients. We present an overview of the current evidence in relation to HEPAS components in the prevention and management of neuropsychiatric disorders and provide suggestions for clinical practice.

[Association of mobile phone overuse with sleep disorder and unhealthy eating behaviors in college students of a medical university in Guangzhou]

OBJECTIVE

To investigate the association of mobile phone use with sleep disorder and unhealthy eating behavior among college students of a medical university in Guangzhou.

METHODS

Mobile Phone Involvement Questionnaire (MPIQ), Pittsburgh Sleep Quality Index (PSQI) and the Three Factor Eating Questionnaire Revised 21 Item (TFEQ-R21) were used to survey 2122 undergraduates of the medical university. One-sample t test, One-way ANOVA and multiple linear regression analysis were used to analyze the data.

RESULTS

Age, body mass index (BMI), phone use before sleep, phone use frequency, sleep quality (assessed by total PSQI score) and the dimension scores of TFEQ-R21 for uncontrolled eating, cognitive restraint, and emotional eating were all significantly correlated with the total score of MPIQ (P < 0.05). Phone use before sleep, high frequency of mobile phone use, poor sleep quality and emotional eating were associated with high MPIQ scores, while lower cognitive restraint and emotional eating tendency were correlated with lower scores of MPIQ. Bivariate analysis revealed that age (r=0.088, P < 0.001), BMI (r=0.055, P < 0.05), PSQI scores (r=0.204, P < 0.001), TFEQ-UE scores (r=0.199, P < 0.001), TFEQ-CR scores (r=-0.076, P < 0.001), TFEQ-EE scores (r=0.170, P < 0.001), phone use before sleep (r=0.429, P < 0.001), and phone use frequency (r=0.316, P < 0.001) were all significantly correlated with MPIQ scores; multiple linear regression analysis showed that model 4 incorporating the scores of TFEQ-UE, TFEQ-CR, and TFEQ-EE explained up to 21.8% of the main effect (adjusted R2= 21.5%).

CONCLUSIONS

Mobile phone overuse is associated with poor sleep quality and unhealthy eating behaviors, and education and interventions for mobile phone use is essential among college students.

The effect of mild sleep deprivation on diet and eating behaviour in children: protocol for the Daily Rest, Eating, and Activity Monitoring (DREAM) randomized cross-over trial

BACKGROUND

Although insufficient sleep has emerged as a strong, independent risk factor for obesity in children, the mechanisms by which insufficient sleep leads to weight gain are uncertain. Observational research suggests that being tired influences what children eat more than how active they are, but only experimental research can determine causality. Few experimental studies have been undertaken to determine how reductions in sleep duration might affect indices of energy balance in children including food choice, appetite regulation, and sedentary time. The primary aim of this study is to objectively determine whether mild sleep deprivation increases energy intake in the absence of hunger.

METHODS

The Daily, Rest, Eating, and Activity Monitoring (DREAM) study is a randomized controlled trial investigating how mild sleep deprivation influences eating behaviour and activity patterns in children using a counterbalanced, cross-over design. One hundred and ten children aged 8-12 years, with normal reported sleep duration of 8-11 h per night will undergo 2 weeks of sleep manipulation; seven nights of sleep restriction by going to bed 1 hr later than usual, and seven nights of sleep extension going to bed 1 hr earlier than usual, separated by a washout week. During each experimental week, 24-h movement behaviours (sleep, physical activity, sedentary behaviour) will be measured via actigraphy; dietary intake and context of eating by multiple 24-h recalls and wearable camera images; and eating behaviours via objective and subjective methods. At the end of each experimental week a feeding experiment will determine energy intake from eating in the absence of hunger. Differences between sleep conditions will be determined to estimate the effects of reducing sleep duration by 1-2 h per night.

DISCUSSION

Determining how insufficient sleep predisposes children to weight gain should provide much-needed information for improving interventions for the effective prevention of obesity, thereby decreasing long-term morbidity and healthcare burden.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry ACTRN12618001671257 . Registered 10 October 2018.

Sleep Duration and Weight-Related Behaviors among Adolescents

Background: Insufficient sleep is widespread among adolescents and has consequences that extend far beyond hampering day-to-day functioning. It may influence eating and physical activity patterns and be an important determinant of adolescent overweight/obesity status. Methods: We assessed how self-reported sleep duration on school nights was associated with weight-related behaviors (eating, diet, and physical activity) and overweight/obesity at the baseline wave (ninth grade year) of the START study (n = 2134). Results: Fifteen percent of our sample reported optimal sleep duration (8.5-10.0 hours); nonwhites, participants of lower socioeconomic status, and girls were at greater risk for insufficient sleep. Suboptimal sleep was associated with various poor weight-related behaviors such as increased sugar-sweetened beverage consumption, decreased vegetable consumption, and decreased breakfast eating (p < 0.001). Fewer hours of sleep were also associated with less physical activity and an increased likelihood of obesity (p = 0.02 for both associations). Conclusions: The influence of adolescent sleep insufficiency on diet and activity could impact childhood obesity and following chronic disease risk especially if lack of sleep sets the stage for enduring, lifelong, poor, weight-related behavior patterns.

[Association of regular consumption of breakfast and health-related behavior among adolescents]

The objective of this study was to estimate the frequency of regular breakfast consumption (five or more times a week) among adolescents, and to investigate the association with demographic variables, school and job shift, health-related behaviors, eating habits and food consumption. A cross-sectional study was conducted in 30 state schools in Curitiba, State of Paraná, with the participation of 1,232 adolescents. The prevalence of regular breakfast consumption was 58,6% (95% CI 53,9, 63.2). After adjusted analysis, higher regular breakfast consumption was observed among adolescents who: attended the evening and intermediate/full shifts; performed supervised physical activity; reported sleeping more than eight hours/night; reported having lunch and dinner with the family every day; and took 4 or more meals per day. The weekly frequency of breakfast was associated with higher consumption of milk and dairy products and the lower consumption of instant noodles and soft drinks. It is noteworthy that the habit of eating breakfast was associated with healthy eating practices and habits, reinforcing its values as a marker of other health-related behaviors. Partaking of breakfast should be encouraged among adolescents.

Unhealthy eating habits around sleep and sleep duration: To eat or fast?

Traditionally, breakfast skipping (BS), and recently late-night dinner eating (LNDE), have attracted attention in public health because they can predispose to cardiometabolic conditions such as obesity and type 2 diabetes. Intriguingly, it has become evident that short duration of sleep elicits similar health risks. As LNDE, BS, and short sleep can be closely related and can aggravate each other, these three should not be considered separately. In this context, LNDE (or its equivalents, snacking or heavy alcohol consumption after dinner) and BS may be representative unhealthy eating habits around sleep (UEHAS). While it is important to take energy in the early morning for physical and intellectual activities, attaining a fasting state is essential for metabolic homeostasis. Our previous UEHAS studies have shown that BS without LNDE, i.e., BS alone, is not associated with obesity and diabetes, suggesting the possibility that BS or taking a very low energy breakfast, which could yield fasting for a while, may prevent obesity and diabetes in people with inevitable LNDE. Further studies considering UEHAS and short sleep simultaneously are needed to elucidate the effects of these unhealthy lifestyles on cardiometabolic diseases.