Earlier Bedtimes Mediate the Effect of a Brief Behavioral Sleep Intervention on Children's Weight Status.

Whether the effect of a brief behavioral sleep intervention on child weight status resulted from observed differences in sleep duration and/or bedtimes was assessed. Findings demonstrate that the intervention's beneficial effect on weight regulation was due to earlier bedtimes, suggesting the potential importance of earlier bedtimes for obesity prevention.

Child routines moderate a brief behavioral intervention to enhance sleep in school-aged children.

OBJECTIVE: To examine whether child routines (the consistency or variation in children's daily routines, household responsibilities, discipline routines, and homework routines) moderated the effectiveness of a brief behavioral intervention to enhance sleep in school-aged children. METHODS: Secondary analysis was conducted with a subset of 66 families with short sleeping (≤9.5 hr/day) children, 8-11 years old (female = 68%; mean age = 9.76, SD = 1.02) who completed the Child Routines Inventory at baseline and were then randomized to receive a behavioral sleep intervention (n = 32) or to control (n = 34). Sleep period was objectively measured using wrist actigraphy at baseline and 2 months post-randomization. Moderation analysis was performed using ordinary least squares regression using the PROCESS macro for SPSS. RESULTS: Controlling for sleep period at baseline, treatment condition was significantly related to the sleep period at 2 months post-randomization, with the intervention group achieving a longer sleep period compared to the usual sleep period group (control) (b = 46.30, p < .01). Intervention response was moderated by child routines (b = 1.43, p < .05). Specifically, the intervention produced the greatest change in sleep period for children who engaged in greater routine behaviors at baseline than those who engaged in fewer routine behaviors. CONCLUSIONS: Families that engage in routine behaviors may be better equipped to adopt the behavioral modifications required to get a good night's sleep. The findings highlight the importance of working with families to establish routine behaviors to improve responses to behavioral sleep interventions.

An explanation for the accuracy of sensor-based measures of energy intake: Amount of food consumed matters more than dietary composition.

Understanding and intervening on eating behavior often necessitates measurement of energy intake (EI); however, commonly utilized and widely accepted methods vary in accuracy and place significant burden on users (e.g., food diaries), or are costly to implement (e.g., doubly labeled water). Thus, researchers have sought to leverage inexpensive and low-burden technologies such as wearable sensors for EI estimation. Paradoxically, one such methodology that estimates EI via smartwatch-based bite counting has demonstrated high accuracy in laboratory and free-living studies, despite only measuring the amount, not the composition, of food consumed. This secondary analysis sought to further explore this phenomenon by evaluating the degree to which EI can be explained by a sensor-based estimate of the amount consumed versus the energy density (ED) of the food consumed. Data were collected from 82 adults in free-living conditions (51.2% female, 31.7% racial and/or ethnic minority; Mage = 33.5, SD = 14.7) who wore a bite counter device on their wrist and used smartphone app to implement the Remote Food Photography Method (RFPM) to assess EI and ED for two weeks. Bite-based estimates of EI were generated via a previously validated algorithm. At a per-meal level, linear mixed effect models indicated that bite-based EI estimates accounted for 23.4% of the variance in RFPM-measured EI, while ED and presence of a beverage accounted for only 0.2% and 0.1% of the variance, respectively. For full days of intake, bite-based EI estimates and ED accounted for 41.5% and 0.2% of the variance, respectively. These results help to explain the viability of sensor-based EI estimation even in the absence of information about dietary composition.

The role of parents in behavioral treatment for adolescent obesity: design and rationale for the TEENS+ randomized clinical trial.

BACKGROUND: There is an urgent need for innovative approaches to adolescent obesity treatment, particularly among individuals from racially and ethnically marginalized backgrounds, who face increased risk of obesity and its associated morbidity and mortality. There is a particular dearth of research on the long-term efficacy of adolescent obesity treatments. Further, research and clinical practice guidelines consistently recommend parents' inclusion in their adolescents' obesity treatment, yet the most effective strategy to engage parents in adolescent obesity treatment remains unclear. Towards that end, this investigation will conduct a fully-powered, randomized clinical trial to examine the efficacy of two distinct approaches to involving parents in their adolescents' obesity treatment. METHODS: Participants will be 210 12-16 year old adolescents (body mass index [BMI]≥85th percentile) and parents (BMI≥25 kg/m2) with overweight or obesity. Dyads will be randomized to one of two 4-month treatments: 1) TEENS+Parents as Coaches (PAC), engaging parents as helpers in their child's weight management via parent skills training based on authoritative parenting, or 2) TEENS+Parent Weight Loss (PWL), engaging parents in their own behavioral weight management. All adolescents will participate in the TEENS+ protocol, which includes nutrition education with dietary goals, supervised physical activity, and behavioral support, and integrates motivational interviewing to enhance treatment engagement. Assessments of anthropometrics, dietary intake, physical activity, parenting and home environment variables will be completed at 0, 2, 4, 8, and 12 months with the primary endpoint at 12-month follow-up. DISCUSSION: Results of this investigation have the potential to significantly advance science in this area and ultimately inform clinical practice guidelines related to the role of parents in adolescent obesity treatment. TRIAL REGISTRATION: Clinicaltrials.gov NCT03851796. Registered: February 22, 2019.

Randomized controlled trial to enhance children's sleep, eating, and weight.

BACKGROUND: The present study assessed the efficacy of a behavioral intervention to enhance children's sleep and reduce caloric intake and body mass index (BMI) change. METHODS: Seventy-eight children 8-11 years old who slept 9.5 h/night or less were randomized to the sleep intervention or to no treatment control. The primary outcome was 2-month change in the actigraph-estimated sleep period; changes in reported caloric intake, percent calories from fat, and BMI/BMI z-score (BMIz) were assessed. RESULTS: Children randomized to intervention enhanced their sleep period by 40 ± 7 min/night relative to control (p < 0.001), and were more likely to increase their sleep period by 30 min/night or more (52% versus 15%, p = 0.003). No differences were observed for reported dietary intake or BMI/BMIz. However, in post-hoc analyses collapsing across groups, those who increased sleep by 30 min/night or more had lower BMI (-0.31 kg/m2, p = 0.01) and BMIz (-0.07, p = 0.03) and reported fewer percent calories from fat at 2 months (-2.2%, p = 0.04). CONCLUSIONS: A brief behavioral intervention can enhance children's sleep, but did not result in changes in caloric intake or weight status. Enhancing sleep by 30 min/night or more may be beneficial for weight regulation. IMPACT: A brief behavioral intervention improved children's nocturnal sleep relative to no treatment control. Given the many benefits of a good night's sleep across domains of functioning, findings have significant implications for children's health and wellbeing. There were no differences between groups on eating behaviors or BMI. However, across groups, children who increased their sleep period by at least 30 min/night, reported reduced intake from fat and evidenced lower BMI at 2 months. Thus, a brief intervention can improve sleep and may have potential benefits for weight regulation.

Design and rationale for evaluating the impact of salad bars on elementary school students' fruit, vegetable, and energy intake: a wait list control, cluster randomized controlled trial.

BACKGROUND: Most children do not consume the recommended amount of fruit and vegetable (FV) servings. Changing the school food environment can be a cost-efficient, effective approach to improving children's dietary quality. There is great popular support for school salad bars as a means to increase children's FV intake within the National School Lunch Program (NSLP), yet empirical research is limited. Further, although FV consumption can facilitate healthy weight management if these foods replace high calorie items, there is a need to enhance understanding of salad bars' influence on children's diet quality and energy intake within the NSLP. This is particularly important to investigate in schools in communities characterized by high poverty, as students they serve are particularly likely to rely on school meals. METHODS: This report describes the design and rationale of a federally-funded investigation that uses validated methods to evaluate school salad bars. This district plans to install salad bars into 141 elementary schools over 5-years, facilitating the conduct of a waitlist control, cluster randomized controlled trial. Specifically, 12 pairs of matched schools will be randomly selected: half receiving a salad bar (Intervention) and half serving pre-portioned FVs only, standard under the NSLP (Control). Thus, groups will have different FV presentation methods; however, all schools will operate under a policy requiring students to take at least one FV serving. Schools will be matched on Title I status and percent of racial/ethnic minoritized students. Intake will be objectively assessed at lunch in each school pair, prior to (baseline), and 4-6 weeks after salad bars are installed (post), yielding ~ 14,160 lunch observations throughout the study duration. Cafeteria sales and NSLP participation data will be obtained to determine how salad bars impact revenues. Finally, implementation factors and cafeteria personnel's perspectives will be assessed, to identify barriers and facilitators to salad bars use and inform sustainability efforts. Proposed methods and current status of this investigation due to COVID-19 are described. DISCUSSION: Results will have great potential to inform school nutrition policies and programs designed to improve dietary quality and reduce obesity. TRIAL REGISTRATION: Retrospectively registered (10/28/22) in clinicaltrials.gov (NCT05605483).

Multi-component food-items and eating behaviour: What do we know and what do we need to know?

Multi-component food-items are single food products that comprise more than one food class, brought together usually via some form of processing. Importantly, individual components of the food-item remain discernible and sensorially distinguishable from each other (e.g., chocolate chip cookies or 'choc ice'). Despite a sizable research literature on the formulation of such products, there lacks a concomitant research literature on the effect(s) of multi-component food-items (compared to single component food-items) on eating behaviour. Considerable previous research has investigated the effect of multiple separate food items on food intake, portion size selection and palatability. However, studies rarely use test foods that capture the physical or chemical interactions between components that are characteristic of multi-component foods. Nevertheless, previous research and relevant theory allow us to generate hypotheses about how multi-component foods may affect eating behaviour; consideration of food variety and perceived sensory complexity suggest that consumption of multi-component foods are likely to increase perceived palatability of such foods, self-selected portion size and food intake. Moreover, many (but not all) multi-component foods would be considered ultra-processed, which is a driver of food intake in and of itself. One possibility is that food components brought together as part of a multi-component food-item interact to strongly drive eating behaviour. To explore this idea, researchers will need to work across disciplines to address various practical and methodological barriers including the technical preparation of test foods.

Obese-Asthma Phenotype Self-Management: A Literature Review.

PROBLEM: Recent identification of the early-onset obese-asthma phenotype has spurred exploration of ways to promote effective, long-term management behaviors for children with this comorbid presentation. Few studies have examined the needs of children with both asthma and obesity and little is known about optimal management options for this unique population. Therefore, the authors aimed to review, critique, and synthesize existing published research on health-management programs designed for children with comorbid asthma and obesity in order to describe the state of the science and recommend next steps in creating pediatric management programs. ELIGIBILITY CRITERIA: Articles selected for a full-text review were pediatric-focused, included children with both asthma and obesity diagnoses, and discussed the implementation and evaluation of a management program or the evaluation of a management behavior. SAMPLE: Fifteen articles were selected for review based on the inclusion criteria. RESULTS: Studies that included current evidence-based elements had better results than those that did not include such elements. CONCLUSIONS: Based on this review, it is recommended that researchers use theory based, multicomponent, multimodal, family-focused, behaviorally-based interventions that address systems-level influences, social determinates of health, and children's developmental needs over time. Additionally, there is a need for studies with sample sizes adequate for power analyses that include the youngest children with asthma and obesity. IMPLICATIONS: The need for effective programs for pediatric obese-asthma phenotype management creates the opportunity for nursing-led research and interventions to foster long-term health promotion for affected children and families.

Consistent Morning Exercise May Be Beneficial for Individuals With Obesity.

This review explores the hypothesis that a consistent exercise time, especially consistent morning exercise, improves exercise adherence and weight management for individuals with overweight or obesity. We discuss data supporting this premise, identify limitations of current research, and outline directions for future research on exercise timing to more robustly evaluate our thesis.

Validating an automated image identification process of a passive image-assisted dietary assessment method: proof of concept.

OBJECTIVE: To validate an automated food image identification system, DietCam, which has not been validated, in identifying foods with different shapes and complexities from passively taken digital images. DESIGN: Participants wore Sony SmartEyeglass that automatically took three images per second, while two meals containing four foods, representing regular- (i.e., cookies) and irregular-shaped (i.e., chips) foods and single (i.e., grapes) and complex (i.e., chicken and rice) foods, were consumed. Non-blurry images from the meals' first 5 min were coded by human raters and compared with DietCam results. Comparisons produced four outcomes: true positive (rater/DietCam reports yes for food), false positive (rater reports no food; DietCam reports food), true negative (rater/DietCam reports no food) or false negative (rater reports food; DietCam reports no food). SETTING: Laboratory meal. PARTICIPANTS: Thirty men and women (25·1 ± 6·6 years, 22·7 ± 1·6 kg/m2, 46·7 % White). RESULTS: Identification accuracy was 81·2 and 79·7 % in meals A and B, respectively (food and non-food images) and 78·7 and 77·5 % in meals A and B, respectively (food images only). For food images only, no effect of food shape or complexity was found. When different types of images, such as 100 % food in the image and on the plate, <100 % food in the image and on the plate and food not on the plate, were analysed separately, images with food on the plate had a slightly higher accuracy. CONCLUSIONS: DietCam shows promise in automated food image identification, and DietCam is most accurate when images show food on the plate.

Examining the pattern of new foods and beverages consumed during obesity treatment to inform strategies for self-monitoring intake.

Maintaining dietary self-monitoring during obesity treatment may improve outcomes. As dietary variety is associated with energy intake, understanding the pattern of when new foods and beverages are consumed may assist with identifying when self-monitoring should occur. This study examined dietary variety (total number of differing foods and beverages consumed) from the first 40 days of self-monitoring records reporting ≥ 3 eating occasions and >600 kcal/day from 60 adults (55.9 ±â€¯9.1 yrs, 35.1 ±â€¯5.3 kg/m2, 80.0% female, 95.0% white) participating in a smartphone-based, lifestyle intervention. Dietary variety was coded using an ingredient-based approach. Additionally, new flavors of previously consumed items, and modified and non-modified items contributed to variety. Total number of different foods and beverages consumed over 40 coded days (cumulative variety [cv40]); number of days to reach 50%, 75%, and 100% of cv40; cv40 by eating occasions; and mean number of new items consumed on weekdays and weekend days were calculated. CV40 was 145.4 ±â€¯33.5. Number of coded days to consume 50%, 75%, and 100% of cv40 was 12.7, 25.1, and 40.0, respectively. Dinner was greater (p < 0.0001) in cv40 (58.6 ±â€¯18.5 different items) than other eating occasions, and lunch was greater (p < 0.0001) (38.8 ±â€¯10.7 different items) than breakfast and snack. Weekend days had a greater mean number of new items consumed than weekdays, (3.8 ±â€¯1.0 items vs. 3.6 ±â€¯0.9 items, p = 0.035). Variety of items consumed during obesity treatment is high, and to capture the majority of differing items consumed, at least 4 weeks of detailed recording is needed. After this, to capture new foods and beverages consumed, self-monitoring dinners, lunch, and weekend days may be helpful.

The δ13C Value of Fingerstick Blood Is a Valid, Reliable, and Sensitive Biomarker of Sugar-Sweetened Beverage Intake in Children and Adolescents.

Background: Reliance on self-reported dietary intake methods is a commonly cited research limitation, and dietary misreporting is a particular problem in children and adolescents. Objective indicators of dietary intake, such as dietary biomarkers, are needed to overcome this research limitation. The added sugar (AS) biomarker δ13C, which measures the relative abundance of 13C to 12C, has demonstrated preliminary validity in adults. Objective: The purpose of this investigation was to determine the comparative validity, test-retest reliability, and sensitivity of the δ13C biomarker to detect AS and sugar-sweetened beverage (SSB) intake using fingerstick blood samples in children and adolescents. Methods: Children (aged 6-11 y, n = 126, 56% male, mean ± SD age: 9 ± 2 y) and adolescents (aged 12-18 y, n = 200, 44% male, mean ± SD age: 15 ± 2 y) completed 4 testing sessions within a 3-wk period. Participants' height, weight, demographic characteristics, and health history were determined at the first session; 24-h recalls were obtained at each visit and fingerstick blood samples were collected at visits 1 and 3. Samples were analyzed for δ13C value using natural abundance stable isotope mass spectrometry. δ13C value was compared with dietary outcomes in the full sample, and in child and adolescent subgroups. t Tests and correlational analyses were used to assess biomarker validity and reliability, whereas logistic regression and area under the receiver-operator characteristic curve (AUC) were used to evaluate sensitivity. Results: Reported mean ± SD AS consumption was 82.2 ± 35.8 g/d and 329 ± 143 kcal/d, and SSB consumption was 222 ± 243 mL/d and 98 ± 103 kcal/d. Mean δ13C value was -19.65 ± 0.69‰, and was lower in children than in adolescents (-19.80 ± 0.67‰ compared with -19.56 ± 0.67‰, P = 0.002). δ13C values were similar across sessions (visit 1: -19.66 ± 0.68‰; visit 3: -19.64 ± 0.68‰; r = 0.99, P < 0.001) and were associated (P < 0.001) with intake of total AS (grams, kilocalories: r = 0.29) and SSB (milliliters, kilocalories: r = 0.35). The biomarker was able to better discriminate between high and low SSB consumers than high and low AS consumers, as demonstrated by the AUC (0.75 and 0.62, respectively). Conclusions: The δ13C biomarker is a promising, minimally invasive, objective biomarker of SSB intake in children and adolescents. Further evaluation using controlled feeding designs is warranted. Registered at clinicaltrials.gov as NCT02455388.

Team Development Measure in Interprofessional Graduate Education: A Pilot Study.

A faculty team developed the 4-week Recovery-Based Interprofessional Distance Education (RIDE) rotation for graduate students in their disciplines. The evaluation team identified the Team Development Measure (TDM) as a potential alternative to reflect team development during the RIDE rotation. The TDM, completed anonymously online, was piloted on the second student cohort (N = 18) to complete the RIDE rotation. The overall pretest mean was 60.73 points (SD = 11.85) of a possible 100 points, indicating that students anticipated their RIDE team would function at a moderately high level during the 4-week rotation. The overall posttest mean, indicating student perceptions of actual team functioning, was 72.71 points (SD = 23.31), an average increase of 11.98 points. Although not statistically significant, Cohen's effect size (d = 0.43) indicates an observed difference of large magnitude. No other published work has used the TDM as a pre-/posttest measure of team development. The authors believe the TDM has several advantages as a measure of student response to interprofessional education offerings, particularly in graduate students with prior experience on health care teams. Further work is needed to validate and extend the findings of this pilot study. [Journal of Psychosocial Nursing and Mental Health Services, 56(4), 18-22.].

Impact of food craving and calorie intake on body mass index (BMI) changes during an 18-month behavioral weight loss trial.

The purpose of this study was to explore relations between food craving, caloric intake, and body mass index (BMI) changes over the course of an 18-month weight loss trial. Two-hundred two obese adults (mean BMI = 34.9 kg/m2; mean age = 51.30 years, 92.2% White; 57.8% female) who participated in a behavioral weight loss trial completed measures of food craving, caloric intake, and BMI at baseline, 6 and 18 months. From baseline to 6 months, higher initial food cravings were associated with more gradual and less steep reductions in BMI. Additionally, the relation between changes in food craving and BMI changes varied by levels of change in caloric intake, such that BMI change and change in food cravings were positively associated at low levels of change in caloric intake, but were unrelated at average and high levels of change in caloric intake. Similarly, from baseline to 6 months and from 6 to 18 months, the relation between changes in food craving and BMI changes also varied by initial levels of caloric intake. Explicit clinical targeting of food craving management may be beneficial for individuals beginning weight loss programs, especially for those who report higher levels of food craving at baseline. Baseline caloric intake and change in calorie intake over time may serve as moderators of the relation between food cravings and BMI.

The effect of television watching and portion size on intake during a meal.

Watching television while eating and eating from larger portion sizes of food are factors that have been found to independently increase food intake. When combined, these factors may further enhance consumption. This investigation, using a 4 × 2 × 2 mixed factorial design, with a between-subjects factor of order of conditions and within-subjects factors of television watching (NO TV and TV) and portion size (SMALL and LARGE), tested the independent effects and interaction of these factors in seventeen women and three men (21.6 ± 2.3 kg/m2, 22.3 ± 3.7 years, 80% white and 95% non-Hispanic). In each condition, participants had 30 min to eat a meal containing macaroni and cheese and salad with dressing. For NO TV, participants sat for 30 min while eating, while for TV, participants viewed a 30-min show containing no food cues while eating. In SMALL the meal provided 1083 kcal, while in LARGE the meal provided 200% of SMALL. Mixed factorial analysis of variance revealed a significant main effect of portion size on grams and energy consumed of the total meal. Participants consumed more grams (577.9 ± 150.5 g vs. 453.1 ± 96.6 g; p < 0.001) and energy (903.9 ± 270.4 kcal vs. 734.6 ± 187.1 kcal; p < 0.001) in LARGE as compared to SMALL. No significant effect of television watching or interaction of television watching and portion size was found. Results of this study suggest that to assist with reducing intake, smaller portion sizes should be implemented in all types of eating situations.

Recovery-Based Interprofessional Distance Education (RIDE): Graduate Student Responses.

Graduate student attitudes (n = 28) were assessed before and after participation in interprofessional practitioner education (IPE). Twenty-eight graduate students participated (14 mental health nursing, 6 pharmacy, 4 nutrition, 4 exercise physiology); most had at least some health care experience. Posttest scores indicated gains on a majority of constructs measured. These results suggest that online-blended IPE content yields gains in team skills and attitudes. This study adds to a very small body of literature on IPE in graduate programs. More research is needed in examining online versus face-to-face delivery.

Effect of Adding Online Social Support Tools to an Adult Walking Program: A Pilot Randomized Controlled Trial.

This pilot study examined the efficacy of providing access to online social support tools on adults' step counts during a technology-mediated walking intervention. Sixty-three insufficiently active adults were randomized to a 12-week walking intervention with (SUPPORT) or without (NO SUPPORT) access to online social support tools. Both groups received a pedometer, step goals, and access to relevant websites. The SUPPORT group also received access to online social support tools. A mixed-factor analysis of variance was conducted to examine within- and between-group differences in measures of daily steps, psychosocial indicators, and health. Both groups significantly (p < .05) increased their daily steps over time from baseline by 1,401 (SUPPORT) and 2,461 (NO SUPPORT), with no significant differences between groups. Psychosocial and health improvements were no greater for SUPPORT versus NO SUPPORT. The SUPPORT group's use of the online social support tools was low. Results suggest that giving adults access to online social support tools during a technology-mediated walking program did not lead to an enhanced increase in daily steps versus an identical program without these tools; however, the low use of these tools may have weakened their effect. Future studies should examine SUPPORT versus NO SUPPORT among groups with preexisting social ties.

Psycho-Physiological Effects of Television Viewing During Exercise.

We propose that enjoyment is an important factor in the adoption and long-term maintenance of exercise. Television (TV) viewing is believed to be a highly enjoyed leisure-time activity, combining it with exercise may make for a more enjoyable exercise experience. The objective of this study was to examine the effects of television (TV) viewing on psychological and physiological variables during a moderate-intensity exercise bout. Twenty-eight insufficiently active (<150 minutes per week of moderate intensity PA and/or 75 minutes of vigorous PA) adults (Age: M = 47.4 ± 7.6 years) participated in this study. Each participant performed three separate 30-minute walking bouts on a motorized treadmill. During each bout, participants watched a program they selected (30-minute scripted show) (self-selected TV condition), a British Broadcasting Corporation (BBC) nature program (standardized TV condition), or no TV program (no TV condition). Participants were unable to select the nature program as their self-selected program, as it was not a 30-minute scripted program. A Polar Heart Rate (HR) monitor and validated surveys on affect and enjoyment were used. Participants reported greater enjoyment of exercise for both self-selected and standardized TV conditions (97.1 ± 15.2 and 92.7 ± 15.2), compared to the No TV condition (77.5 ± 13.4, p < 0.001). The two TV conditions resulted in similar levels of focus on TV viewing (self-selected TV: 81.2 ± 19.7; standardized TV: 79.1 ± 14.2, p > 0.05) and dissociation from walking (self-selected TV: 38.1 ± 6.7 and standardized TV: 33.2 ± 3.9); they also resulted in more dissociation than the no TV condition (TV: 72.6 ± 5.6, p = 0.002). The findings indicate that TV viewing, regardless of whether the programming is self-selected or standardized, associates with greater enjoyment of exercise.

Weighing the Evidence of Common Beliefs in Obesity Research.

Obesity is a topic on which many views are strongly held in the absence of scientific evidence to support those views, and some views are strongly held despite evidence to contradict those views. We refer to the former as "presumptions" and the latter as "myths." Here, we present nine myths and 10 presumptions surrounding the effects of rapid weight loss; setting realistic goals in weight loss therapy; stage of change or readiness to lose weight; physical education classes; breastfeeding; daily self-weighing; genetic contribution to obesity; the "Freshman 15"; food deserts; regularly eating (versus skipping) breakfast; eating close to bedtime; eating more fruits and vegetables; weight cycling (i.e., yo-yo dieting); snacking; built environment; reducing screen time in childhood obesity; portion size; participation in family mealtime; and drinking water as a means of weight loss. For each of these, we describe the belief and present evidence that the belief is widely held or stated, reasons to support the conjecture that the belief might be true, evidence to directly support or refute the belief, and findings from randomized controlled trials, if available. We conclude with a discussion of the implications of these determinations, conjecture on why so many myths and presumptions exist, and suggestions for limiting the spread of these and other unsubstantiated beliefs about the obesity domain.

Dietary intake patterns and diet quality in a nationally representative sample of women with and without severe headache or migraine.

OBJECTIVE/BACKGROUND: The role of diet in migraine is not well understood. We sought to characterize usual dietary intake patterns and diet quality in a nationally representative sample of women with and without severe headache or migraine. We also examined whether the relationship between migraine and diet differs by weight status. METHODS: In this analysis, women with migraine or severe headache status was determined by questionnaire for 3069 women, ages 20-50 years, who participated in the National Health and Nutrition Examination Study, 1999-2004. Women who experienced severe headaches or migraines were classified as migraine for the purposes of this analysis. Dietary intake patterns (micro- and macronutrient intake and eating frequency) and diet quality, measured by the Healthy Eating Index, 2005, were determined using one 24-hour dietary recall. RESULTS: Dietary intake patterns did not significantly differ between women with and without migraine. Normal weight women with migraine had significantly lower diet quality (Healthy Eating Index, 2005 total scores) than women without migraine (52.5 ± 0.9 vs. 45.9 ± 1.0; P < .0001). CONCLUSIONS: Whereas findings suggest no differences in dietary intake patterns among women with and without migraine, dietary quality differs by migraine status in normal weight women. Prospective analyses are needed to establish how diet relates to migraine onset, characteristics, and clinical features in individuals of varying weight status.