Exploration of Sex and Age as Moderators Between Social Cumulative Risk and Sleep in a Representative Sample of Children and Adolescents Living in the United States.

BACKGROUND: Youth who face adversity are at a disproportionate risk for poor sleep health across the life course. Identifying whether the association between adversity and poor sleep varies based upon age and sex is needed. This study aims to explore sex and age as moderators between social risk and sleep in a sample of U.S. youth. METHODS: This study analyzed data of 32,212 U.S. youth (6-17 years) whose primary caregiver participated in the 2017-2018 National Survey of Children's Health. A social cumulative risk index (SCRI) score was calculated from 10 parental, family, and community risk indicators. Nighttime sleep duration was the number of hours the child slept during the past week. Weeknight sleep irregularity was operationalized as whether the child sometimes/rarely/never went to bed at the same time. Generalized logistic regression models estimated associations between SCRI and sleep duration/irregularity, with age and sex as moderators. RESULTS: Age moderated the association between SCRI and short sleep (OR = 1.12, p < 0.001), such that the magnitude of the SCRI-sleep relationship was 12% greater in school-age children. Sex was not a significant moderator. In stratified models by age group, age was positively associated with short sleep in both groups, with a greater magnitude in school-age children. Female school-age children were less likely to have short sleep than males. CONCLUSIONS: Younger children with greater social cumulative risk factors may be more vulnerable to short sleep duration. Further research into the mechanisms underlying the relationships between social risk and sleep health in school-age children is needed.

Feasibility, Acceptability, and Preliminary Effectiveness of a Sleep Intervention in Adults at Risk for Metabolic Syndrome With Short Sleep Duration.

BACKGROUND: The prevalence of short sleep duration is rising and is linked to chronic comorbidities, such as metabolic syndrome (MetS). Sleep extension interventions in adults with MetS comorbidities and short sleep duration are limited and vary widely in terms of approach and duration. OBJECTIVES: This pilot study aimed to test the feasibility and acceptability of a personalized 12-week systematic sleep time extension intervention on post-intervention sleep outcomes in middle-aged adults at risk for MetS with actigraphy-estimated short sleep duration. METHODS: A single-arm, 12-week, 12-session systematic sleep time extension intervention was delivered weekly via videoconferencing. Feasibility and acceptability were assessed using retention rates and mean sleep diary completions. Sleep was estimated for 14 consecutive days prior to and immediately following the 12-week intervention using wrist actigraphy. Daytime sleepiness was assessed using the Epworth Sleepiness Scale. Paired sample t -tests modeled changes in study outcomes. RESULTS: Study participants ( N = 41) had a mean age of 52 years and were mostly female and White; 86% attended >80% of sessions, and mean sleep diary completion was 6.7 diaries/week. Significant improvements in sleep from pre- to post-intervention included increased total sleep time, earlier sleep onsets, more regular sleep onsets, a higher sleep regularity index, and reduced daytime sleepiness. Extending sleep, as well as improving sleep timing and regularity in middle-aged adults with actigraphy-estimated short sleep duration and at risk for MetS, is feasible and acceptable. DISCUSSION: Behavioral sleep characteristics may be modifiable and present a novel behavioral paradigm for mitigating MetS risk. This pilot study provides a proof of concept for the feasibility, acceptability, and preliminary effectiveness of a systematic sleep time extension for middle-aged adults at risk for MetS with actigraphy-estimated short sleep duration.

Adverse Childhood Experiences May Dampen the Protective Role of Sleep Duration on Adolescent Obesity Risk.

The purpose of this study was to explore Adverse Childhood Experiences (ACEs) as a moderator between sleep duration/irregularity and overweight/obesity in U.S. adolescents. Using the National Survey of Children's Health 2017-2018 cross-sectional dataset, we included adolescents with available sleep and Body Mass Index (BMI) data. In a sample of 24,100 adolescents (mean age = 13.56 years, 49.35% female; 51% White), parents reported adolescent's sleep duration/irregularity, and number of ACEs. Logistic regression estimated the interaction between sleep duration/irregularity and the number of ACEs on overweight/obesity risk (BMI ≥ 85th percentile-for-age) using a stepwise approach and accounting for complex survey design. In the 24,100 adolescents, 33% were overweight/obese, 50% had ≥ 1 ACE, 37% slept < 8-10 h/night, and 14% had irregular sleep. Accounting for covariates and ACEs, every hour increase in sleep duration was associated with 6% decrease in overweight/obesity odds. There was a significant interaction between sleep duration and ACEs; the association between increasing sleep duration and decreasing odds of overweight/obesity was significant only in adolescents without ACEs (OR = 0.87, 95% CI [0.80, 0.95], p < 0.001). Increasing sleep duration is a recognized intervention target to decrease obesity risk, yet in adolescents experiencing ≥ 1 ACE, this protective role may be dampened. Future work may explore mechanisms for overweight/obesity development to inform interventions for adolescents facing adversity.

Associations between sleep and overweight/obesity in adolescents vary by race/ethnicity and socioeconomic status.

AIM: To examine the interaction between sleep and social determinants of health (SDOH) [race/ethnicity and socioeconomic status (SES)] on overweight/obesity in adolescents. DESIGN: Cross-sectional. METHODS: We conducted a secondary analysis using the 2017-2018 National Survey of Children's Health data. We included adolescents (10-17 years old) who had sleep and body mass index (BMI) data available (n = 24,337) in analyses (samples with BMI <5th percentile excluded). Parents reported children's sleep duration and regularity. High BMI (≥85th percentile) for age defines overweight/obesity. We selected SDOH (race/ethnicity, family income, primary caregiver education and neighbourhood condition) and covariates (age, sex, smoking, exercise and depression) using a hierarchical model-building approach. Accounting for complex survey design, logistic regression estimated the interaction between sleep and SDOH. RESULTS: There were significant interactions between sleep duration and SDOH. The association between increasing sleep and decreasing odds of overweight/obesity only showed in the following subgroups: White, family income ≥400% federal poverty level (FPL) or primary caregiver' education ≥ high school. Compared with these subgroups, Hispanic adolescents and adolescents whose family income was below 100% FPL and whose caregiver education was below high school had weakened and reversed associations. Sleep regularity was not associated with overweight/obesity. CONCLUSIONS: Increasing sleep duration was associated with a decreased risk of overweight/obesity, but the association was not present in adolescents from racial/ethnic minority groups (i.e. Hispanic) and those with low SES. IMPACT: The study findings suggest that associations between sleep and overweight/obesity vary by race and SES. Identification of additional mechanisms for obesity is needed for racial/ethnic minority groups and those from families with low SES. Also, the complexity of these relationships underscores the importance of community-based needs assessment in the design of targeted and meaningful interventions to address complex health conditions such as poor sleep and obesity.

Factors Related to Physical Activity in Adults With Intellectual Disabilities in Group Home Settings: A Systematic Literature Review.

This systematic review of literature aimed to synthesize the multilevel factors related to physical activity (PA) among adults (age 18-65) with intellectual disability living in group homes. Keyword searches were used to identify articles from electronic databases, resulting in the inclusion of 10 articles for full-text review. Data were extracted relating to study and sample characteristics and study findings. Methodological quality of the studies was also evaluated. Factors related to PA in group homes were identified at all levels of the social-ecological model. Intrapersonal factors (e.g., health and functional status, attitude to PA), interpersonal factors (e.g., staff attitude, encouragement for PA, and coparticipation in PA), and organizational factors (e.g., program offerings, staff education, and staff-client ratios) were prominent findings in the reviewed studies. The findings support a social-ecological approach for PA promotion in group homes that target intrapersonal, interpersonal, and organizational factors.

Subjective sleep score is associated with central and peripheral blood pressure values in children aged 7-12 years.

Shortened and poor-quality sleep have emerged as non-traditional risk factors for the development of hypertension in adults, and it is likely these relations extend to paediatric populations when evaluating sleep subjectively. Therefore, we aimed to evaluate subjective sleep metrics and their associations with central and peripheral blood pressure (BP) values in children. We hypothesized that poor-quality sleep and short sleep duration would be associated with elevated pressures in healthy children. Subjective sleep habits and sleep duration were evaluated using the Children's Sleep Habits Questionnaire (CSHQ) in 29 children aged 7-12 years (13 male/16 female). A total sleep score was generated by summing subscale scores: a higher score indicates poorer sleep habits. Peripheral BP was measured, and central pressures were estimated using pulse wave analysis. Pearson's r correlations were used to assess relations between total sleep score, sleep duration, and sleep score subscales with BP values. Sleep score was positively associated with central and peripheral systolic pressure (r = 0.43, p = 0.02 and r = 0.41, p = 0.03, respectively), diastolic pressure (r = 0.42, p = 0.02 and r = 0.36, p = 0.05, respectively) and mean arterial pressure (r = 0.40, p = 0.03 and r = 0.36, p = 0.03, respectively). Sleep duration was negatively associated with central and peripheral diastolic pressure (r = -0.40, p = 0.03 and r = -0.41, p = 0.03, respectively). Regarding the CSHQ subscales, daytime sleepiness and parasomnias were consistently positively associated with BP values. These findings support sleep as a primordial prevention target for hypertension and the maintenance of cardiovascular health during childhood. Consideration of a variety of sleep habits using tools such as the CSHQ may provide important insights into early-life cardiovascular risk.

Examining fruit and vegetable intake in low-income older adults using the Veggie Meter®.

BACKGROUND: Older adults report low fruit and vegetable (FV) intake. The lack of objective, field-based assessments of FV intake is a limitation when assessing the effectiveness of interventions. AIM: To examine if self-reported FV intake was correlated with Veggie Meter® scores among low-income older adults. The Veggie Meter® is a portable tool that uses pressure-mediated reflection spectroscopy to estimate skin carotenoid measurements. METHODS: A cross-sectional assessment of FV intake, food security, and Veggie Meter® score in low-income older adults was conducted. Bivariate analyses quantified the association between FV intake and Veggie Meter® score. RESULTS: Participants (n = 154) were mostly female (69.3%), non-white (66.2%) and at risk for food insecurity (65.6%). Mean Veggie Meter® score was 172.3 ± 77.2 and had a small significant positive correlation with FV intake (r= 0.192, p = 0.018). CONCLUSION: The Veggie Meter® may objectively indicate FV intake. Research to validate the Veggie Meter® in older, diverse populations is needed.

Psychological and behavioral moderators of physical health among caregivers and non-caregivers.

The current study sought to evaluate whether psychological and/or behavioral health moderate the relationship between caregiving and physical health. MATERIALS AND METHODS: Using data from the Behavioral Risk Factor Surveillance System (BRFSS) survey (2017-2018), separate composite scores were created for psychological and behavioral health. Self-reported physical health was the primary outcome. The sample was 1,387 non-caregivers and 266 caregivers. RESULTS: The psychological, behavioral, and self-reported physical health did not significantly differ between caregivers and non-caregivers, but psychological and behavioral health were shown to differentially affect self-reported health outcomes among caregivers, compared to non-caregivers. Caregivers with worse psychological health had higher odds of experiencing poor physical health versus non-caregivers, while caregivers with better behavioral health had lower odds of having better general health versus non-caregivers. DISCUSSION: These data extend our understanding on how to consider the impact of psychological and behavioral health as a caregiver and opportunities to develop targeted interventions.

Twenty-Four-Hour Movement Guidelines and Body Weight in Youth.

OBJECTIVE: To examine the prevalence of youth meeting the 24-hour healthy movement guidelines (ie, ≥60 minutes of moderate-to-vigorous physical activity, ≤2 hours of screen time, age-appropriate sleep duration), and which combination of meeting these guidelines was most associated with bodyweight status, in a nationally representative US sample. STUDY DESIGN: Cross-sectional data from the 2016-2017 National Survey of Children's Health were used. A multinomial regression model of body weight status was generated (underweight, overweight, obese vs healthy weight) and then stratified by sex. Analyses were adjusted for potential confounders. RESULTS: The sample (n = 30 478) was 50.4% female, 52.4% white, and the mean age was 13.85 ± 2.28 years; 15% percent were obese and 15.2% were overweight. Overall, 9.4% met all 3 of the 24-hour healthy movement guidelines, 43.6% met 2, 37.9% met 1, and 9.1% met none. Meeting zero guidelines (vs 3) was associated with the greatest likelihood of overweight (aOR, 1.85; 95% CI, 1.31-2.61), and obesity (aOR, 4.25; 95% CI, 2.87-6.31). Females (aOR, 4.97; 95% CI, 2.59-9.53) had higher odds of obesity than males (aOR, 3.99; 95% CI, 2.49-6.40) when zero (vs 3) guidelines were met. Meeting the moderate-to-vigorous physical activity guideline, either alone or in combination with screen time or sleep duration (vs all 3), was associated with the lowest odds for overweight and obesity in the full sample. CONCLUSION: Meeting all movement guidelines was associated with the lowest risk for obesity, particularly in females. Meeting the moderate-to-vigorous physical activity guideline may be a priority to prevent overweight and obesity in youth.

Evaluation of a Systems-Based Tobacco Cessation Program Using Bedside Volunteers.

INTRODUCTION: Hospitalization and post-discharge provide an opportune time for tobacco cessation. This study tested the feasibility, uptake, and cessation outcomes of a hospital-based tobacco cessation program, delivered by volunteers to the bedside with post-discharge referral to Quitline services. Patient characteristics associated with Quitline uptake and cessation were assessed. METHODS: Between February and November 2016, trained hospital volunteers approached inpatient tobacco users on six pilot units. Volunteers shared a cessation brochure and used the ASK-ADVISE-CONNECT model to connect ready to quit patients to the Delaware Quitline via fax-referral. Volunteers administered a follow-up survey to all admitted tobacco users via telephone or email at 3-months post-discharge. RESULTS: Of the 743 admitted tobacco users, 531 (72%) were visited by a volunteer, and 97% (531/547) of those approached, accepted the visit. Over one-third (201/531; 38%) were ready to quit and fax-referred to the Quitline, and 36% of those referred accepted Quitline services. At 3 months post-discharge, 37% (135/368) reported not using tobacco in the last 30 days; intent-to-treat cessation rate was 18% (135/743). In a multivariable regression model of Quitline fax-referral completion, receiving nicotine replacement therapy (NRT) during hospitalization was the strongest predictor (odds ratios [OR] = 1.97; 95% confidence interval [CI] = 1.34 to 2.90). In a model of 3-month cessation, receiving Quitline services (OR = 3.21, 95% CI = 1.35 to 7.68) and having coronary artery disease (OR = 2.28; 95% CI = 1.11 to 4.68) were associated with tobacco cessation, but a volunteer visit was not. CONCLUSIONS: An "opt-out" tobacco cessation service using trained volunteers is feasible for connecting patients to Quitline services. IMPLICATIONS: This study demonstrates the feasibility of a systems-based approach to link inpatients to evidence-based treatment for tobacco use. This model used trained bedside volunteers to connect inpatients to a state-funded Quitline after discharge that offers free cessation treatment of telephone coaching and cessation medications. Receiving NRT during hospitalization positively impacted Quitline referral, and engagement with Quitline resources was critical to tobacco abstinence post-discharge. Future work is needed to evaluate the cost-effectiveness and sustainability of this volunteer model.

Proportions of youth with visual impairments meeting 24-hr movement guidelines.

BACKGROUND: Recent movement behaviour guidelines prescribe the optimal time spent in physical activity, screen time, and sleep across a 24-hr period. The proportion of youth with visual impairments meeting 0, 1, 2, or all 3 of these 24 movement guidelines is unknown. The primary purpose of this observational, cross-sectional analysis was to examine the proportions of youth with visual impairments in the United States who partially or fully meet the physical activity, screen time, and sleep duration guidelines. A secondary purpose of this analysis was to examine whether demographic variables were associated with the odds of youth with visual impairments meeting these guidelines. METHODS: This study included 561 youth with visual impairments from the 2016 to 2017 National Survey of Children's Health (NSCH). Accounting for the NSCH sampling plan, Complex Samples was used to estimate the prevalence of meeting 24-hr movement guidelines, and a multinomial logistic regression analysis was conducted to examine the odds ratio of guidelines met across different demographic factors. RESULTS: Of the participants in this study, 18.7%, 50.7%, and 73.2% met physical activity, sleep, and screen time guidelines, respectively. Just 5.8% of the sample met all three of the 24-hr movement guidelines, whereas 10.6% did not meet any of the three guidelines. CONCLUSIONS: The proportion of the sample meeting of all three guidelines was low, thus depriving the majority of this population of the physiological and psychological health benefits of meeting each guideline. Moreover, the study identifies physical inactivity as a key risk factor that requires attention in this population.

Sleep as a Target for Optimized Response to Smoking Cessation Treatment.

Declining national rates of current tobacco use to an all-time low of 15.1% represents a public health victory. Undermining this progress, however, are smoking rates of up to 50% among high-risk, low-income populations. Current FDA-approved treatments for nicotine dependence are ineffective with between 70-95% of treatment-seekers relapsing within the first year of attempted abstinence. Thus, identification of novel intervention targets to optimize response to currently available treatments for nicotine dependence is a critical next step. One such target may be sleep insomnia. Insomnia is a clinically verified nicotine withdrawal symptom but, to date, addressing insomnia or other sleep disturbance symptoms as an adjunctive smoking cessation therapy has yet to be fully considered. To this end, this manuscript presents a narrative review of: (1) sleep continuity and architecture in smokers versus nonsmokers; (2) effects of nicotine abstinence on sleep; (3) possible mechanisms linking sleep with smoking cessation outcomes; (4) plausible adjunctive sleep therapies to promote smoking cessation; (5) possible treatments for unhealthy sleep in smokers; and (6) directions for future research. Taken together, this will provide conceptual support for sleep therapy as an adjunctive treatment for smoking cessation. Implications: This narrative literature review presents a comprehensive discussion of the relationship between habitual sleep and cigarette smoking. The extent to which unhealthy sleep in smokers may be a viable intervention target for promoting response to smoking cessation treatment is considered. Ultimately, this review provides conceptual support for sleep therapy as an adjunctive treatment for smoking cessation.

The association between television viewing time and percent body fat in adults varies as a function of physical activity and sex.

BACKGROUND: Data suggest that sedentary behavior is an independent risk factor for obesity; however, the extent to which physical activity (PA) and sex alter this relationship remains unclear. To address this gap, the current study examined the association between television (TV) viewing time and percent body fat (%BF) as a function of PA level and sex. METHODS: Trained interviewers assessed 454 adults at their place of residence. Participants completed questionnaires to determine h of TV watched per week, PA level (inactive = not meeting PA guidelines vs. active = meeting PA guideline), and covariates including demographics (e.g., sex), depression symptoms, perceived stress, fruit and vegetable intake, and environmental support for PA. Foot-to-foot bioelectrical impedance (Tanita TBF-300, Tokyo, Japan) was used to assess %BF. Mixed models were generated to examine the association between TV h/wk. and %BF as a function of PA level and sex while accounting for the multi-level nature of the data (neighborhood- and individual-levels) and covariates. RESULTS: Participants were 44.4 ± 14.0 (Mean + Standard Deviation) years of age with 33.2 ± 11.1%BF, and watched 19.3 ± 15.5 h/wk. of TV. Most were female (70.9%) and inactive (63.2%). Mixed model regression demonstrated that among inactive participants, each additional h of TV viewed/wk. was associated with a 1.03% increase in %BF; TV h/wk. and %BF were not associated in active adults. When models were further stratified by sex, h of TV viewed/wk. were significantly associated with %BF only in inactive females. Each additional h of TV viewed/wk. was associated with an increase in %BF of 1.14%. CONCLUSION: Interventions targeting PA and/or TV viewing time may be a high-priority to curb excess BF accumulation especially among inactive females.

Interactive effects of sleep duration and morning/evening preference on cardiovascular risk factors.

Background: Sleep duration and morningness/eveningness (circadian preference) have separately been associated with cardiovascular risk factors (i.e. tobacco use, physical inactivity). Interactive effects are plausible, resulting from combinations of sleep homeostatic and circadian influences. These have not been examined in a population sample. Methods: Multivariable regression models were used to test the associations between combinations of sleep duration (short [≤6 h], adequate [7-8 h], long [≥9 h]) and morning/evening preference (morning, somewhat morning, somewhat evening, evening) with the cardiovascular risk factors of tobacco use, physical inactivity, high sedentary behaviour, obesity/overweight and eating fewer than 5 daily servings of fruit and vegetables, in a cross-sectional sample of 439 933 adults enrolled in the United Kingdom Biobank project. Results: Participants were 56% female, 95% white and mean age was 56.5 (SD = 8.1) years. Compared with adequate sleep with morning preference (referent group), long sleep with evening preference had a relative odds of 3.23 for tobacco use, a 2.02-fold relative odds of not meeting physical activity recommendations, a 2.19-fold relative odds of high screen-based sedentary behaviour, a 1.47-fold relative odds of being obese/overweight and a 1.62-fold relative odds of <5 fruit and vegetable daily servings. Adequate sleep with either morning or somewhat morning preference was associated with a lower prevalence and odds for all cardiovascular risk behaviours except fruit and vegetable intake. Conclusions: Long sleepers with evening preference may be a sleep phenotype at high cardiovascular risk. Further work is needed to examine these relationships longitudinally and to assess the effects of chronotherapeutic interventions on cardiovascular risk behaviours.

Perceived neighborhood safety related to physical activity but not recreational screen-based sedentary behavior in adolescents.

BACKGROUND: A growing proportion of adolescents have poor cardiovascular health behaviors, including low levels of physical activity and high levels of sedentary behavior, thus increasing the likelihood of poor heart health in later years. This study tested the hypothesis that low perceived neighborhood safety would be associated with low levels of physical activity and high levels of recreational sedentary behavior in high-school students. METHODS: Using cross-sectional, weighted data from the 2015 Pennsylvania (USA) State and Philadelphia city Youth Risk Behavior Survey, multivariable logistic regression modeling was used to examine the association between perceived neighborhood safety, and physical activity levels and recreational screen-based sedentary behavior time respectively, while controlling for potential confounders. RESULTS: After adjustment for other significant correlates of physical activity, students with low perceived neighborhood safety had a 21% reduced odds of being physically active on 5 or more days of the last week as compared to those who felt safe (p = 0.044). Perceived safety was not related to sedentary behavior; but sports team participation emerged as a strong correlate of low screen-based sedentary behavior (OR = 0.73, p = .002). CONCLUSION: These data add to a growing body of work demonstrating the importance of perceived safety with physical activity levels in youth. Sports team participation may be a viable target to reduce screen-based sedentary time.

Characterizing Cardiovascular Health and Evaluating a Low-Intensity Intervention to Promote Smoking Cessation in a Food-Assistance Population.

Food assistance recipients are at higher risk for poor cardiovascular health given their propensity to poor dietary intake and tobacco use. This study sought to evaluate the cardiovascular health status, and determine the impact of a low-intensity smoking cessation education intervention that connected mobile food pantry participants to state quit-smoking resources. A pre-post design with a 6-week follow-up was used to evaluate the impact of a 10-12 min smoking cessation education session implemented in five food pantries in Delaware. Baseline cardiovascular health, smoking behaviors and food security status were assessed. Smoking cessation knowledge, intention to quit and use of the state quit line were also assessed at follow-up. Of the 144 participants 72.3% reported having hypertension, 34.3% had diabetes, 13.9% had had a stroke. 50.0% were current smokers. The low-intensity intervention significantly increased smoking cessation knowledge but not intention to quit at follow-up. Seven percent of current smokers reported calling the quit line. Current tobacco use was five times more likely in food insecure versus food secure adults (OR 4.98; p = 0.006), even after adjustment for demographic factors. Systems based approaches to address tobacco use and cardiovascular health in low-income populations are needed. The extent to which smoking cessation could reduce food insecurity and risk for cardiovascular disease in this population warrants investigation.

Food Insecurity and Cardiometabolic Risk Factors in Adolescents.

INTRODUCTION: Food insecurity is associated with poor cardiometabolic health in adults. The extent to which this relationship exists in adolescents has yet to be defined. The objective of this study was to examine the relationship between food insecurity and cardiometabolic risk factors in adolescents. METHODS: We evaluated the association between food insecurity and several cardiometabolic risk factors by using data collected from the Youth Risk Behavior Survey at the state and city levels. Logistic regression models adjusted for sex, race/ethnicity, grade, and neighborhood safety were used to determine the association between food insecurity and cardiometabolic risk factors among a weighted sample of 495,509 adolescents. RESULTS: Of the sample studied, 12.8% reported being food insecure. Food-insecure adolescents had more than a twofold increased odds of not eating breakfast on all 7 days (adjusted odds ratio [AOR] = 2.27; 95% confidence interval [CI], 1.61-3.21; P < .001), a 60% increased odds of reporting less than 8 hours per day of sleep (AOR = 1.60; 95% CI, 1.15-2.23; P = .006), a 65% increased odds of reporting current cigarette smoking (AOR = 1.65; 95% CI, 1.16-2.36; P = .006), and a 65 % increased odds of current alcohol consumption (AOR = 1.36; CI, 1.01-1.84; P = .04), compared with food-secure adolescents. CONCLUSION: Among adolescents, in adjusted models, food insecurity was significantly associated with not consuming breakfast daily, getting less than 8 hours of sleep per day, currently smoking, and currently drinking alcohol. Food insecurity in adolescents may serve as an important precursor to poor cardiometabolic health.

Smoking, Screen-Based Sedentary Behavior, and Diet Associated with Habitual Sleep Duration and Chronotype: Data from the UK Biobank.

BACKGROUND: Sleep duration has been implicated in the etiology of obesity but less is known about the association between sleep and other behavioral risk factors for cardiovascular disease. PURPOSE: The aim of this study was to examine the associations among sleep duration, chronotype, and physical activity, screen-based sedentary behavior, tobacco use, and dietary intake. METHODS: Regression models were used to examine sleep duration and chronotype as the predictors and cardiovascular risk factors as outcomes of interest in a cross-sectional sample of 439,933 adults enrolled in the UK Biobank project. RESULTS: Short sleepers were 45 % more likely to smoke tobacco than adequate sleepers (9.8 vs. 6.9 %, respectively). Late chronotypes were more than twice as likely to smoke tobacco than intermediate types (14.9 vs. 7.4 %, respectively). Long sleepers reported 0.61 more hours of television per day than adequate sleepers. Early chronotypes reported 0.20 fewer daily hours of computer use per day than intermediate chronotypes. Early chronotypes had 0.25 more servings of fruit and 0.13 more servings of vegetables per day than late chronotypes. CONCLUSIONS: Short and long sleep duration and late chronotype are associated with greater likelihood of cardiovascular risk behaviors. Further work is needed to determine whether these findings are maintained in the context of objective sleep and circadian estimates, and in more diverse samples. The extent to which promoting adequate sleep duration and earlier sleep timing improves heart health should also be examined prospectively.

Understanding help-seeking intentions in male military cadets: An application of perceptual mapping.

BACKGROUND: Research suggests that men are less likely to seek help for depression, substance abuse, and stressful life events due to negative perceptions of asking for and receiving help. This may be exacerbated in male military cadets who exhibit higher levels of gender role conflict because of military culture. METHODS: This exploratory study examined the perceptions of 78 male military cadets toward help-seeking behaviors. Cadets completed the 31-item Barriers to Help Seeking Scale (BHSS) and a component factor analysis was used to generate five composite variables and compare to validated factors. Perceptual mapping and vector modeling, which produce 3-dimensional models of a group's perceptions, were then used to model how they conceptualize help-seeking. RESULTS: Factor analysis showed slightly different groupings than the BHSS, perhaps attributed to different characteristics of respondents, who are situated in a military school compared to general university males. Perceptual maps show that cadets perceive trust of doctors closest to them and help-seeking farthest, supporting the concept that these males have rigid beliefs about having control and its relationship to health seeking. Differences were seen when comparing maps of White and non-White cadets. White cadets positioned themselves far away from all variables, while non-White cadets were closest to "emotional control". CONCLUSION: To move these cadets toward help-seeking, vector modeling suggests that interventions should focus on their general trust of doctors, accepting lack of control, and decreasing feelings of weakness when asking for help. For non-White cadets a focus on self-reliance may also need to be emphasized. Use of these unique methods resulted in articulation of specific barriers that if addressed early, may have lasting effects on help-seeking behavior as these young men become adults. Future studies are needed to develop and test specific interventions to promote help-seeking among military cadets.