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OBJECTIVES: This study examined how mental health symptoms (i.e., depression, anxiety, stress) and baseline sleep characteristics (i.e., sleep quality and levels of daytime sleepiness) predicted adherence to and initial success of a brief sleep extension research protocol in emerging adults. METHODS: 184 emerging adults (ages 18-25; M = 20.96, SD = 2.04) were asked to extend their nightly sleep opportunity to 8 hr for 1 week and to anchor bedtime and waketime. Sleep outcomes (adherence and initial protocol success) were tracked using actigraphy. Baseline sleep quality, daytime sleepiness, depression, anxiety, and stress were assessed using self-report questionnaires. RESULTS: Poorer baseline sleep quality predicted better adherence to the protocol (p = .002). Other baseline sleep characteristics and mental health were not predictive of adherence (ps>.50). Lower levels of baseline daytime sleepiness approached significance in predicting greater initial protocol success following the protocol (p = .05). Baseline sleep quality and mental health did not predict initial protocol success (ps > 0.34). CONCLUSIONS: Mental health symptoms did not significantly predict adherence to or the success of a sleep extension protocol. Surprisingly, individuals with poor baseline sleep quality were more likely to adhere to the extension protocol, perhaps suggesting heightened motivation for change or increased risk for sleep problems. This research provides valuable insight into factors that predict adherence to sleep extension protocols in emerging adults.
Subject(s)
Anxiety , Depression , Patient Compliance , Humans , Male , Female , Young Adult , Adult , Adolescent , Depression/psychology , Anxiety/psychology , Actigraphy , Sleep Quality , Sleep/physiology , Stress, Psychological/psychology , Surveys and Questionnaires , Sleep Wake DisordersABSTRACT
Short sleep duration is associated with heightened cardiometabolic disease risk and has reached epidemic proportions among children, adolescents and adults. Potential mechanisms underlying this association are complex and multifaceted, including disturbances in circadian timing, food intake and appetitive hormones, brain regions linked to control of hedonic eating, physical activity, an altered microbiome and impaired insulin sensitivity. Sleep extension, or increasing total sleep duration, is an emerging and ecologically relevant intervention with significant potential to advance our understanding of the mechanisms underlying the association between short sleep duration and the risk of cardiometabolic disease. If effective, sleep extension interventions have potential to improve cardiometabolic health across the lifespan. Existing data show that sleep extension is feasible and might have potential cardiometabolic health benefits, although there are limitations that the field must overcome. Notably, most existing studies are short term (2-8 weeks), use different sleep extension strategies, analyse a wide array of cardiometabolic health outcomes in different populations and, frequently, lack adequate statistical power, thus limiting robust scientific conclusions. Overcoming these limitations will require fully powered, randomized studies conducted in people with habitual short sleep duration and existing cardiometabolic risk factors. Additionally, randomized controlled trials comparing different sleep extension strategies are essential to determine the most effective interventions. Ongoing and future research should focus on elucidating the potential cardiometabolic health benefits of sleep extension. Such studies have high potential to generate crucial knowledge with potential to improve health and quality of life for those struggling with short sleep duration.
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STUDY OBJECTIVES: Poor sleep in adolescents can increase the risk of obesity, possibly due to changes in dietary patterns. Prior neuroimaging evidence, mostly in adults, suggests that lacking sleep results in increased response to food cues in reward-processing brain regions. Needed is a clarification of the mechanisms by which food reward processing is altered by the kind of chronic sleep restriction (SR) typically experienced by adolescents. This study aimed to elucidate the impact of sleep duration on response to visual food stimuli in healthy adolescents using functional neuroimaging, hypothesizing increased reward processing response after SR compared to a well-rested condition. METHODS: Thirty-nine healthy adolescents, 14-17 years old, completed a 3-week protocol: (1) sleep phase stabilization; (2) SR (~6.5 h nightly); and (3) healthy sleep (HS) duration (~9 h nightly). Participants underwent functional MRI while performing a visual food paradigm. Contrasts of food versus nonfood responses were compared within-subject between conditions of SR and HS. RESULTS: Under SR, there was a greater response to food stimuli compared to HS in a voxel cluster including the left ventral tegmental area and substantia nigra. No change in food appeal rating due to the sleep manipulation was detected. CONCLUSIONS: Outcomes of this study suggest that SR, as commonly experienced by healthy adolescents, results in the elevated dopaminergic drive of the reward network that may augment motivation to seek food in the context of individual food appeal and inhibitory profiles. Countermeasures that reduce food salience could include promoting consistent HS habits.
Subject(s)
Sleep Deprivation , Sleep , Adult , Humans , Adolescent , Sleep Deprivation/complications , Sleep Deprivation/diagnostic imaging , Sleep/physiology , Food , Brain/physiology , ObesityABSTRACT
Short sleep increases the risk for obesity in adolescents. One potential mechanism relates to when eating occurs in the day. This study investigated the impact of shortened sleep on eating occasion timing in adolescents. Ninety-three healthy 14- to 17-year-olds (62% female) completed a within-subject experimental sleep manipulation, engaging in 5-night spans of Short Sleep (6.5-hr sleep opportunity) or Healthy Sleep (9.5-hr sleep opportunity), with order randomized. During each condition, adolescents completed three 24-hr diet recall interviews. Repeated-measure t-tests assessed the sleep manipulation effect on each adolescent's number of meals, first and last eating occasion (relative to the clock and time since sleep onset/offset), feeding window (timespan from first to last eating), and the midpoint of feeding. The timing of the first eating occasion was similar across conditions, relative to the clock (Short = 08:51, Healthy = 08:52) and to time since waking (Short = 2.0 hr, Healthy = 2.2 hr). The timing of the last eating occasion was later relative to the clock (Short = 20:34, Healthy = 19:39; p < 0.001), resulting in a longer feeding window (Short = 11.7 hr, Healthy = 10.8 hr, p < 0.001) and a later midpoint in the feeding window (Short = 14:41, Healthy = 14:18, p = 0.002). The gap between last eating occasion and sleep onset was larger in Short (4.2 hr) than Healthy Sleep (2.9 hr; p < 0.001), though the last eating occasion was much earlier than when they fell asleep during either condition. Shortened sleep resulted in adolescents eating later and lengthening the daily feeding window. These findings may help explain the link between shortened sleep and increased obesity risk in adolescents.
Subject(s)
Feeding Behavior , Sleep Wake Disorders , Adolescent , Female , Humans , Male , Diet , Eating , Meals , Obesity , SleepABSTRACT
OBJECTIVES: Correlational models suggest increased cardiometabolic risk when sleep replaces moderate-to-vigorous (but not sedentary or light) physical activity. This study tested which activity ranges are impacted by experimentally altering adolescents' bedtime. METHOD: Adolescents completed a 3-week within-subjects crossover experiment with 5 nights of late bedtimes and 5 nights early bedtimes (6.5- and 9.5-hours sleep opportunity, respectively). Experimental condition order was randomized. Waketimes were held constant throughout to mimic school start times. Sleep and physical activity occurred in the natural environments, with lab appointments following each 5-day condition. Waist-worn accelerometers measured physical activity and sedentary behavior. Wrist-worn actigraphs confirmed sleep condition adherence. Wilcoxon tests and linear mixed effects models compared waking activity levels between conditions and across time. RESULTS: Ninety healthy adolescents (14-17 years) completed the study. When in the early (vs. late) bedtime condition, adolescents fell asleep 1.96 hours earlier (SD = 1.08, d = 1.82, p < .0001) and slept 1.49 hours more (SD = 1.01, d = 1.74, p < .0001). They spent 1.68 and 0.32 fewer hours in sedentary behavior (SD = 1.67, d = 1.0, p < .0001) and light physical activity (SD = 0.87, d = 0.37, p = .0005), respectively. This pattern was reflected in increased proportion of waking hours spent in sedentary and light activity. Absolute and proportion of moderate-to-vigorous physical activity did not differ between conditions (d = 0.02, p = .89; d = 0.14, p = .05, respectively). CONCLUSIONS: Inducing earlier bedtimes (allowing for healthy sleep opportunity) did not affect moderate-to-vigorous physical activity. Alternatively, later bedtimes (allowing for ≤ 6.5 hours of sleep opportunity, mimicking common adolescent school night sleep) increased sedentary behavior. Results are reassuring for the benefits of earlier bedtimes.
Subject(s)
Sedentary Behavior , Sleep , Adolescent , Exercise , Humans , Schools , Time FactorsABSTRACT
STUDY OBJECTIVES: Insufficient sleep and social stress are associated with weight gain and obesity development in adolescent girls. Functional magnetic resonance imaging (fMRI) research suggests that altered engagement of emotion-related neural networks may explain overeating when under stress. The purpose of this study is to explore the effects of acute sleep restriction on female adolescents' neural responding during social evaluative stress and their subsequent eating behavior. METHODS: Forty-two adolescent females (ages 15-18 years) with overweight or obesity completed a social stress induction task in which they were told they would be rated by peers based on their photograph and profile. Participants were randomly assigned to one night of sleep deprivation or 9 h of sleep the night before undergoing fMRI while receiving positive and negative evaluations from their peers. After which, subjects participated in an ad libitum buffet. RESULTS: Sleep deprived, relative to nondeprived girls had distinct patterns of neural engagement to positive and negative evaluation in anterior, mid, and posterior aspects of midline brain structures. Moreover, a sleep deprivation-by-evaluation valence-by-caloric intake interaction emerged in bilateral dorsal anterior cingulate. Among sleep deprived girls, greater engagement during negative, but not positive, feedback was associated with lower caloric intake. This was not observed for nonsleep deprived girls. CONCLUSIONS: Results suggest an interaction between acute sleep loss and social evaluation that predicts emotion-related neural activation and caloric intake in adolescents. This research helps to elucidate the relationship between sleep loss, social stress, and weight status using a novel health neuroscience model.
Subject(s)
Magnetic Resonance Imaging , Overweight , Adolescent , Female , Humans , Obesity/complications , Obesity/diagnostic imaging , Sleep , Sleep Deprivation/complications , Sleep Deprivation/diagnostic imagingABSTRACT
OBJECTIVE: An open trial tested the feasibility, acceptability, and preliminary effectiveness of a behavioral sleep intervention in adolescents with ADHD. METHOD: Fourteen adolescents (ages 13-17 years; 50% male) with ADHD and co-occurring sleep problems received the cognitive-behavioral-based Transdiagnostic Sleep and Circadian Intervention for Youth (TranS-C). Adolescent, parent, and teacher ratings, actigraphy, and daily sleep diaries were collected at pre-intervention, post-intervention, and 3-month follow-up. RESULTS: Adolescents experienced moderate to large improvements in sleep, mental health symptoms, and daily life executive functioning from pre-treatment to post-treatment, and improvements were generally maintained at 3 months. Pre-intervention, 71.4% of adolescents were classified as poor sleepers and this was reduced to 21.4% and 28.6% at post-treatment and follow-up, respectively. CONCLUSION: This study provides strong preliminary evidence that TranS-C improves sleep and associated outcomes in adolescents with ADHD and co-occurring sleep problems. A randomized controlled trial is needed to rigorously test the efficacy of TranS-C in this population.
Subject(s)
Attention Deficit Disorder with Hyperactivity , Sleep Wake Disorders , Adolescent , Attention Deficit Disorder with Hyperactivity/complications , Attention Deficit Disorder with Hyperactivity/therapy , Behavior Therapy , Feasibility Studies , Female , Humans , Male , Pilot Projects , Sleep , Sleep Wake Disorders/complications , Sleep Wake Disorders/therapyABSTRACT
OBJECTIVES: Apple's iPhone Night Shift feature purports to reduce short-wavelength light emissions and improve sleep. We aimed to investigate these claims by comparing emerging adults' sleep outcomes associated with smartphone use before bed with iPhone's Night Shift enabled to two comparison conditions (iPhone use with no Night Shift, no iPhone use). DESIGN: Participants were randomly assigned to one of three conditions specifying iPhone use during the hour preceding bedtime for seven consecutive nights: iPhone use with Night Shift enabled; iPhone use with Night Shift disabled; and no phone use. SETTING: Participants were recruited from a western undergraduate university. PARTICIPANTS: A sample of 167 emerging adults (ages 18-24; 71.3% female) with iPhones participated in the study. MEASUREMENTS: Sleep outcomes (sleep latency, duration, efficiency and wake after sleep onset) were tracked using wrist-worn accelerometers. RESULTS: There were no significant differences in sleep outcomes across the three experimental groups. Post-hoc exploratory stratified analyses revealed a significant main effect of phone condition on sleep efficiency (P = .014) and WASO (P = .013) for participants averaging more than 6.8 hours of sleep per night, with the no phone condition demonstrating the best sleep outcomes. For those averaging less than 6.8 hours of sleep, there was no effect of phone condition on sleep outcomes. CONCLUSIONS: Across our full study sample, there were no differences in sleep outcomes attributable to Night Shift. For individuals who regularly obtained adequate sleep, abstaining from screen use resulted in better quality sleep than did phone use with Night Shift enabled.
Subject(s)
Sleep , Smartphone , Adolescent , Adult , Female , Humans , Male , Polysomnography/methods , Wrist , Young AdultABSTRACT
OBJECTIVE: Maternal self-efficacy (MSE) is a well-established correlate of health outcomes in young children, though little is known about this association in older children. The purpose of this cross-sectional study was to examine how MSE relates to mother-child feeding practices in middle childhood. METHODS: A total of 306 children ages 8-12 (Mean age = 9.72, SD = 0.91, 52.9% female) and their mothers participated in this study. Mothers completed the New General Self-Efficacy Scale and the Child Feeding Questionnaire. A series of hierarchical regression models were used to examine how MSE related to maternal food restriction, maternal pressure to eat, and maternal food monitoring. RESULTS: After accounting for maternal Body Mass Index (BMI), education, and age, and child Body Mass Index Percentile (BMI%ile) and age within the first step of each regression model, MSE emerged as a significant predictor for maternal restriction of foods (p = .024) and maternal food monitoring (p = .048). MSE was not significantly related to maternal pressure to eat. CONCLUSIONS: This study is the first to establish that higher MSE is significantly related to healthier mother-child feeding practices in middle childhood, providing preliminary justification for enhancing MSE within comprehensive family interventions to support child weight-related health.
Subject(s)
Mother-Child Relations , Self Efficacy , Body Mass Index , Body Weight , Child , Child Behavior , Child, Preschool , Cross-Sectional Studies , Feeding Behavior , Female , Humans , Male , Mothers , Parenting , Surveys and QuestionnairesABSTRACT
Short sleep has been linked to adolescent risk of obesity, but questions remain regarding the dietary mechanisms by which this occurs. We tested whether mildly shortening sleep influences how rewarding and appealing healthy adolescents find several kinds of foods. Eighty-eight healthy adolescents completed a within-subjects crossover sleep experiment comparing 5 days of Short Sleep (6.5 hr sleep opportunity) with 5 days of Healthy Sleep (9.5 hr sleep opportunity). Following each condition, adolescents completed measures of food appeal and reinforcing value of food across five food types: sweets/desserts, fruits/vegetables, lean meats/eggs, fast food and processed snacks. Adolescents averaged 2.2 hr/night longer sleep periods in Healthy Sleep versus Short Sleep. We observed a significant interaction of experimental order with sleep condition on three of four primary outcomes related to the appeal and reinforcing value of foods (p's < .005). When Short Sleep preceded Healthy Sleep, adolescents endorsed significantly greater appeal (p < .04) and rewarding value of food (p's ranging from <.01 to .048) during Short Sleep (compared to Healthy Sleep). However, when Healthy Sleep preceded Short Sleep, we did not observe a main effect of sleep condition on the same outcomes (p's > .05). This study provides evidence that restricting adolescents' sleep opportunity to 6.5 hr (compared to sleeping a healthy amount) increases the appeal and reinforcing value of a variety of foods, but this may occur only under protracted short sleep. Increased food reward may be one mechanism linking chronically shortened sleep with risk of obesity in adolescence.
Subject(s)
Food Analysis/methods , Reward , Sleep Deprivation/psychology , Adolescent , Female , Humans , MaleABSTRACT
OBJECTIVE: The purpose of this study was to evaluate associations between executive functioning and caregiver adherence monitoring with objective antihypertensive medication adherence over 24 months in adolescents with chronic kidney disease (CKD). METHODS: Adolescents (N = 97, 11-20 years old) with CKD taking antihypertensive medication and their caregivers were recruited from three pediatric nephrology clinics. At baseline, adolescents and caregivers reported on adolescents' executive functioning and caregivers reported on their adherence monitoring. Antihypertensive medication adherence was objectively assessed via electronic monitoring at baseline and every 6 months after for 24 months. Associations between executive functioning, caregiver monitoring, and longitudinal adherence were evaluated with linear mixed models. RESULTS: Up to 38% of adolescents had elevated executive functioning scores indicating more severe impairments, with rates varying by scale and reporter (adolescent vs. caregiver). Caregiver monitoring showed a significant, negative association with adherence, but adolescents' executive functioning was not significantly associated with adherence. Neither variable was associated with the rate of change in adherence over time. CONCLUSIONS: Given that adolescents' executive functioning was not associated with antihypertensive medication adherence or changes in adherence over time, adherence to daily pill-form medications may involve less cognitive effort than more complex medical regimens. Higher levels of caregiver monitoring were unexpectedly associated with lower adherence levels. This unanticipated finding may reflect increased caregiver monitoring efforts when faced with adolescents' medication nonadherence, but this finding warrants further investigation. Adolescents with CKD who are nonadherent may benefit from medication adherence-promoting strategies beyond increasing caregiver monitoring. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Subject(s)
Caregivers/psychology , Executive Function/physiology , Medication Adherence/psychology , Renal Insufficiency, Chronic/drug therapy , Renal Insufficiency, Chronic/psychology , Adolescent , Adult , Child , Female , Humans , Male , Young AdultABSTRACT
Obese adults have been shown to have poorer white brain matter integrity relative to normal-weight peers, but few studies have tested whether white matter integrity is compromised in overweight and obese adolescents. Also, it is unclear if age interacts with body mass to affect white matter integrity in adolescents. We used Automated Fiber Quantification, a tractography method, to compare fractional anisotropy between normal-weight and overweight/obese adolescents in the corpus callosum, corticospinal tract, cingulum, inferior fronto-occipital fasciculus, and uncinate fasciculus. Further, we tested whether any differences were moderated by age. Forty-seven normal-weight and forty overweight/obese adolescents were scanned using a diffusion tensor imaging (DTI) scan sequence. Overweight/obese compared to normal-weight adolescents had decreased white matter integrity in the superior frontal corpus callosum, left and right uncinate fasciculi, left inferior fronto-occipital fasciculus, and left corticospinal tract, which may be related to heightened reward processing. Overweight/obese compared to normal-weight adolescents had increased white matter integrity in the orbital and anterior frontal corpus callosum, right inferior fronto-occipital fasciculus, left cingulum, and left corticospinal tract, which may be related to heightened attentional processing. As age increased, six tracts showed poorer white matter integrity as body mass index percentile (BMI%) increased, but three tracts showed greater white matter integrity as BMI% increased. Future research examining associations between white matter integrity and neural indices of food-related reward and attention are needed to clarify the functional significance of white matter integrity discrepancies between normal-weight and overweight/obese adolescents.
Subject(s)
Obesity/physiopathology , Overweight/physiopathology , White Matter/physiopathology , Adolescent , Anisotropy , Brain/physiopathology , Corpus Callosum/physiopathology , Diffusion Magnetic Resonance Imaging/methods , Diffusion Tensor Imaging/methods , Female , Humans , Male , Nerve Net/physiopathology , Neural Pathways/physiopathologyABSTRACT
Poor sleep is related to increased obesity risk in adolescents, though the mechanisms of this relationship are unclear. This paper presents a conceptual framework of the various pathways that have been proposed to drive this relationship. In this framework, increased food reward, emotional reactivity, decreased inhibitory control, metabolic disturbances, poorer dietary quality, and disrupted meal timings may increase the likelihood of increasing overall energy intake. This paper further notes how poor sleep increases sedentary behavior and screen time, which likely limits overall energy expenditure. The model posits that these mechanisms result in an imbalance of energy intake and expenditure following poor sleep, intensifying the overall risk for obesity. Increases in food reward processes, decreases in insulin sensitivity, disrupted meal timing, and increases in sedentary behavior seem to be the most compelling mechanisms linking poor sleep with increased obesity risk in adolescents. Future directions and clinical implications of this framework are discussed.
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OBJECTIVE: This experimental study evaluated associations between sleep duration, food-related inhibitory control, and food reward in adolescents aged 12-18 with normal weight and overweight/obesity. The potential moderating effect of weight status on the associations between sleep, inhibitory control, and food reward was also examined. METHODS: Thirty-two adolescents with normal weight and 32 adolescents with overweight/obesity (ages 12-18) participated in this study. Participants spent 5 hr in bed per night (restricted sleep) or 9 hr in bed per night (habitual sleep) for five nights with experimental periods separated by 3 weeks. Participants completed a food-related inhibitory control task and a questionnaire assessing food reward on the sixth day of each study phase. RESULTS: Repeated measures analyses of variance revealed that adolescents performed more poorly on a food-related inhibitory control task and had heightened food reward following sleep restriction. Adolescents with overweight/obesity demonstrated heightened food reward compared with adolescents with normal weight; there was no main effect of weight on food-related inhibitory control. There was a significant interaction between sleep condition and weight status on food reward, with adolescents with normal weight demonstrating heightened food reward following sleep restriction. Adolescents with overweight/obesity showed consistently high food reward with no effect of sleep duration. CONCLUSIONS: When sleep restricted, adolescents demonstrated heightened food reward and were less able to inhibit prepotent responses to food images. Adolescents with normal weight who experience acute sleep restriction may perceive foods to be more rewarding relative to normal sleep.
Subject(s)
Adolescent Behavior/psychology , Feeding Behavior/psychology , Inhibition, Psychological , Pediatric Obesity/psychology , Reward , Sleep Deprivation/psychology , Adolescent , Body Weight , Child , Female , Humans , Male , Pediatric Obesity/etiology , Psychology, Adolescent , Risk FactorsABSTRACT
STUDY OBJECTIVES: Sleep is an important behavior that affects appetite and eating in adolescents. Our study examined food-related neural activation in brain regions associated with food reward and inhibition in adolescents under sleep-restricted and well-rested conditions. METHODS: In this within-subjects study, 52 adolescents (ages 12-18; 46% female; M age = 15.96 years, SD = 1.56) with normal weight (NW; N = 29, M body mass index % [BMI%] = 54.55, SD = 24.54) or overweight/obesity (OV/OB; N = 23, M BMI% = 93.78, SD = 4.60) spent 5 hours in bed at home each night for five consecutive nights and 9 hours in bed at home each night for 5 consecutive nights, with the first day of each condition occurring 4 weeks apart. The morning following each sleep modification period, functional magnetic resonance imaging (fMRI) data were collected while participants performed an inhibitory (go/no-go) task with food stimuli. RESULTS: We found significantly greater activation in brain regions associated with inhibition in adolescents with NW in response to food cues when sleep restricted. No increase in inhibition-related neural activation was observed in adolescents with OV/OB when sleep restricted. We also found neural activation consistent with greater reward processing associated with food cues following sleep restriction regardless of weight status. CONCLUSIONS: These findings suggest that chronic sleep restriction may increase the likelihood of suboptimal dietary behavior for adolescents with OV/OB because they do not experience increased inhibition-related neural responding to counter possible increased reward-related neural responding following sleep restriction.
Subject(s)
Appetite/physiology , Brain Mapping , Cues , Eating/psychology , Obesity/physiopathology , Adolescent , Body Mass Index , Body Weight , Brain/physiology , Child , Female , Food/statistics & numerical data , Humans , Magnetic Resonance Imaging/methods , Male , Reward , Sleep/physiologyABSTRACT
Obesity and maintaining a healthy diet have important implications for physical and mental health. One factor that may influence diet and obesity is inhibitory control. We tested how N2 and P3 amplitude, event-related potential (ERP) components that reflect inhibitory control, and functional magnetic resonance imaging (fMRI) activity in brain regions associated with inhibitory control differed toward high- and low-calorie food stimuli across BMI status. We also assessed the relationship between neural indices of food-related inhibitory control and laboratory and daily food intake. Fifty-four individuals (17 normal-weight; 18 overweight; 19 individuals with obesity) completed two food-based go/no-go tasks (one with high- and one with low-calorie foods as no-go stimuli), once during ERP data acquisition and once during fMRI data acquisition. After testing, participants were presented with an ad libitum weighed food buffet. Participants also recorded their food intake using the Automated Self-Administered 24-hour Dietary Recall (ASA24) system across four days. Individuals recruited more inhibitory control when withholding responses towards high-compared to low-calorie foods, although this effect was more consistent for N2 than P3 or fMRI assessments. BMI status did not influence food-related inhibitory control. A larger inhibitory response as measured by N2 amplitude was related to increased ASA24 food intake; P3 amplitude and fMRI region of interest activity did not predict ASA24 intake; neither method predicted food intake from the buffet. ERP and fMRI measurements show similar neural responses to food, although N2 amplitude may be somewhat more sensitive in detecting differences between food types and predicting self-reports of food intake.
Subject(s)
Cerebral Cortex/physiopathology , Evoked Potentials/physiology , Executive Function/physiology , Feeding Behavior/physiology , Food , Functional Neuroimaging/methods , Inhibition, Psychological , Overweight/physiopathology , Adolescent , Adult , Body Mass Index , Cerebral Cortex/diagnostic imaging , Eating , Electroencephalography , Female , Humans , Magnetic Resonance Imaging , Male , Middle Aged , Obesity/diagnostic imaging , Obesity/physiopathology , Overweight/diagnostic imaging , Young AdultABSTRACT
Short sleep duration in childhood has been associated with increased risk for overweight and obesity. Research suggests that physical activity might mediate this association. However, studies examining associations between physical activity and sleep in young children have reported equivocal findings. A possible explanation for these inconsistencies is that past studies have looked at total physical activity rather than examining physical activity regularity. We aimed to explore the associations between physical and sedentary activity regularity (ie, consistent vs intermittent behavior) and sleep in preschoolers and kindergartners. One hundred and thirty-one children (ages 4-6) wore waist-worn accelerometers for 3 days and 3 nights. Associations between physical and sedentary activity regularity and attaining adequate sleep duration were assessed using logistic regression. There was no association between the number of days that children engaged in ≥60 minutes of total physical activity and sufficient sleep. Furthermore, there was no association between the number of days that children engaged in ≥20 minutes of vigorous activity and sufficient sleep. Children who engaged in minimal sedentary activity had greater odds of obtaining sufficient sleep as compared with children who engaged in more sedentary activity.
Subject(s)
Exercise , Sedentary Behavior , Sleep/physiology , Accelerometry , Child , Child, Preschool , Cross-Sectional Studies , Female , Humans , Male , Time FactorsABSTRACT
Objective: To examine associations between motivational impact of palatable foods and neural activity in brain regions involved in inhibitory control among adolescents. Methods: Thirty-four adolescents aged 14-20 years underwent functional magnetic resonance imaging while viewing images of high- and low-energy foods. Participants completed the Power of Food Scale (PFS). Whole-brain analyses of variance tested for neural activation differences and correlations between brain activation and PFS scores were tested. Results: We found an interaction between food type (high energy vs. low energy) and PFS scores in the right dorsolateral prefrontal cortex and right inferior parietal lobule. We also found that PFS scores correlated negatively with activation to high-energy foods in prefrontal cortical and parietal regions. Conclusions: These findings suggest that individuals with high motivation for high-energy foods also demonstrate lower neural activation in inhibition-related brain regions when viewing images of high-energy foods, indicating that they may have difficulty inhibiting consumption impulses.
Subject(s)
Eating/psychology , Food , Inhibition, Psychological , Motivation/physiology , Parietal Lobe/physiology , Prefrontal Cortex/physiology , Psychology, Adolescent , Adolescent , Brain Mapping , Eating/physiology , Energy Intake , Female , Humans , Magnetic Resonance Imaging , Male , Nutritive Value , Parietal Lobe/diagnostic imaging , Photic Stimulation , Prefrontal Cortex/diagnostic imaging , Reward , Young AdultABSTRACT
BACKGROUND: Research examining effects of visual food cues on appetite-related brain processes and eating behavior has proliferated. Recently investigators have developed food image databases for use across experimental studies examining appetite and eating behavior. The food-pics image database represents a standardized, freely available image library originally validated in a large sample primarily comprised of adults. The suitability of the images for use with adolescents has not been investigated. The aim of the present study was to evaluate the appropriateness of the food-pics image library for appetite and eating research with adolescents. METHODS: Three hundred and seven adolescents (ages 12-17) provided ratings of recognizability, palatability, and desire to eat, for images from the food-pics database. Moreover, participants rated the caloric content (high vs. low) and healthiness (healthy vs. unhealthy) of each image. RESULTS: Adolescents rated approximately 75% of the food images as recognizable. Approximately 65% of recognizable images were correctly categorized as high vs. low calorie and 63% were correctly classified as healthy vs. unhealthy in 80% or more of image ratings. These results suggest that a smaller subset of the food-pics image database is appropriate for use with adolescents. CONCLUSIONS: With some modifications to included images, the food-pics image database appears to be appropriate for use in experimental appetite and eating-related research conducted with adolescents.
Subject(s)
Databases, Factual/standards , Food , Photography , Adolescent , Appetite , Eating , Female , Humans , Male , ResearchABSTRACT
BACKGROUND: The efficacy of adolescent weight control treatments is modest, and effective treatments are costly and are not widely available. Smartphones may be an effective method for delivering critical components of behavioral weight control treatment including behavioral self-monitoring. OBJECTIVE: To examine the efficacy and acceptability of a smartphone assisted adolescent behavioral weight control intervention. METHODS: A total of 16 overweight or obese adolescents (mean age=14.29 years, standard deviation=1.12) received 12 weeks of combined treatment that consisted of weekly in-person group behavioral weight control treatment sessions plus smartphone self-monitoring and daily text messaging. Subsequently they received 12 weeks of electronic-only intervention, totaling 24 weeks of intervention. RESULTS: On average, participants attained modest but significant reductions in body mass index standard score (zBMI: 0.08 standard deviation units, t (13)=2.22, P=.04, d=0.63) over the in-person plus electronic-only intervention period but did not maintain treatment gains over the electronic-only intervention period. Participants self-monitored on approximately half of combined intervention days but less than 20% of electronic-only intervention days. CONCLUSIONS: Smartphones likely hold promise as a component of adolescent weight control interventions but they may be less effective in helping adolescents maintain treatment gains after intensive interventions.