Prevalence of current smoking and association with meeting 24-h movement guidelines: Results from a national convenience sample of autistic adults.

LAY ABSTRACT: Cigarette smoking is a leading risk behavior for cardiovascular disease; yet its prevalence and determinants are not clear in autistic adults. We examined the prevalence of current smoking and its association between meeting 24-h movement (i.e. sleep, physical activity, and sedentary behavior) guidelines in a self-selecting convenience sample of 259 autistic adults in the United States. We found that current smokers met fewer 24-h movement guidelines. Most significant, those who had insufficient sleep and those with high levels of sedentary behavior were more likely to be current smokers. Therefore, targeting these movement behaviors may be potential intervention targets for smoking cessation.

Primary care outreach and decision counseling for lung cancer screening.

INTRODUCTION: Lung cancer screening rates are very low despite a level B recommendation from the United States Preventive Services Task Force since 2013 and clear evidence that lung cancer screening reduces mortality. The Center for Medicare and Medicaid Services requires shared decision-making (SDM) for lung cancer screening reimbursement. The objective of this study was to determine the effect of an SDM intervention on lung cancer screening in primary care. METHODS: The study design was a single-arm clinical trial design. The intervention included phone contact outside of a primary care visit and the use of the Decision Counseling Program ®, an online interactive decision aid focused on determining the factors which influence patients to screen or not screen, prioritizing those factors, and determining a decision preference score. The primary outcome was the completion of low-dose computed tomography scan (LDCT) 1 year after the SDM session compared in participants versus nonparticipants. RESULTS: From six practices, there were 1359 potentially eligible patients in electronic medical record data, and 336 were reached to assess eligibility criteria. A total of 80 patients consented to be in the study, 64 completed a decision counseling session and 16 did not complete a session. Among the 64 people who agreed to have decision counseling, 45% had LDCT, higher than typically seen in routine clinical practice. Although not a comparable group, among the 16 people who declined decision counseling, none had LDCT. CONCLUSIONS: Decision counseling is a promising intervention that might support SDM in the context of improving uptake of lung cancer screening in primary care. However, further, larger studies are needed.

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.

Quantifying Benefits and Harms of Lung Cancer Screening in an Underserved Population: Results From a Prospective Study.

Lung cancer screening with annual low-dose computed tomography reduces lung cancer death by 20-26%. However, potential harms of screening include false-positive results, procedures from false positives, procedural complications and failure to adhere to follow-up recommendations. In diverse, underserved populations, it is unknown if benefits of early lung cancer detection outweigh harms. We conducted a prospective observational study of lung cancer screening participants in an urban, safety-net institution from September 2014 to June 2020. We measured benefits of screening in terms of cancer diagnosis, stage, and treatment. We measured harms of screening by calculating false-positive rate, procedures as a result of false positive screens, procedural complications, and failure to follow-up with recommended care. Of patients with 3-year follow up, we measured these same outcomes in addition to compliance with annual screening. Of 1509 participants, 55.6% were African American, 35.2% White, 8.1% Hispanic, and 0.5% Asian. Screening resulted in cancer detection and treatment in 2.8%. False positive and procedure as a result of a false positive occurred in 9.2% and 0.8% of participants, respectively with no major complications from diagnostic procedures or treatment. Adherence to annual screening was low, 18.7%, 3.7%, and 0.4% at 1, 2, and 3 years after baseline screening respectively. Multidisciplinary lung cancer screening in a safety-net institution can successfully detect and treat lung cancer with few harms of false-positive screens, procedure after false-positive screens and major complications. However, adherence to annual screening is poor.

An exploration of clinical, behavioral, and community factors associated with sleep duration and efficiency among middle-aged Black/African American smokers.

STUDY OBJECTIVES: We examined the most important correlates to sleep duration and efficiency from a comprehensive array of multilevel factors. METHODS: Baseline data from a cohort of 216 Black/African American smokers aged 40-65 years were examined. The binary outcomes of healthy sleep duration (6-8 h/night) and efficiency (≥85%) were ascertained from 14 consecutive days of actigraphy. Seventy-three independent variables from socio-demographic, individual behavioral, individual physiological, interpersonal, and community domains were assessed. Random survival forest decision trees were generated for each outcome, and variable importance metrics used to rank the predictive abilities of exposure variables. The 5 most predictive exposure variables for each outcome were entered into a regression model of the respective outcome (with age and sex). RESULTS: Study participants (N = 216) had a mean age of 54.57 years (SD = 6.17) and 57% were male. Healthy sleep duration was achieved by 56.5% and healthy sleep efficiency by 13.6% of the sample. Regression models showed every additional minute of light physical activity was associated with 1% increased odds, while every unit decrease in the inflammation marker of interleukin-8 was associated with 12% increased odds, of achieving a healthy sleep duration. Every unit increase in total social support was associated with a 34% increased odds, while every unit increase in the hazardous drinking score corresponded with 30% decreased odds, of achieving healthy sleep efficiency. CONCLUSIONS: Light physical activity, social support, and alcohol consumption may be key modifiable intervention targets to improving sleep duration and sleep efficiency in this population.

Caregiver Health by Context: Moderating Effects of Mental Health and Health Behaviors.

This study assessed caregivers' perceptions of their physical health by care context and explored the moderating role of mental health and health behaviors. This a cross-sectional, secondary analysis using de-identified Behavioral Risk Factor Surveillance System survey data. Deficits in mental health and engaging in healthier behaviors was associated with an increased odds of experiencing at least one week of poor physical health or being in a fair or better health category, respectively. Differences in the odds were noted according to care context (i.e., reason for care). For example, with each unit increase in mental health score (worse mental health), the odds of experiencing at least one week of poor physical health increased among cancer caregivers at about one-and-a-half times as compared to old age caregivers (p=0.006). Findings suggest that some caregiving groups derive less benefit from positive health behaviors, while some groups are more adversely impacted by poorer mental health.

Habitual physical activity patterns in a nationally representative sample of U.S. adults.

Physical inactivity is a leading determinant of noncommunicable diseases. Yet, many adults remain physically inactive. Physical activity guidelines do not account for the multidimensionality of physical activity, such as the type or variety of physical activity behaviors. This study identified patterns of physical activity across multiple dimensions (e.g., frequency, duration, and variety) using a nationally representative sample of adults. Sociodemographic characteristics, health behaviors, and clinical characteristics associated with each physical activity pattern were defined. Multivariate finite mixture modeling was used to identify patterns of physical activity among 2003-2004 and 2005-2006 adult National Health and Nutrition Examination Survey participants. Chi-square tests were used to identify sociodemographic differences within each physical activity cluster and test associations between the physical activity clusters with health behaviors and clinical characteristics. Five clusters of physical activity patterns were identified: (a) low frequency, short duration (n = 730, 13%); (b) low frequency, long duration (n = 392, 7%); (c) daily frequency, short duration (n = 3,011, 55%); (d) daily frequency, long duration (n = 373, 7%); and (e) high frequency, average duration (n = 964, 18%). Walking was the most common form of activity; highly active adults engaged in more varied types of activity. High-activity clusters were comprised of a greater proportion of younger, White, nonsmoking adult men reporting moderate alcohol use without mobility problems or chronic health conditions. Active females engaged in frequent short bouts of activity. Data-driven approaches are useful for identifying clusters of physical activity that encompass multiple dimensions of activity. These activity clusters vary across sociodemographic and clinical subgroups.

Smoke at night and sleep worse? The associations between cigarette smoking with insomnia severity and sleep duration.

OBJECTIVE: Insomnia is a clinically verified nicotine withdrawal symptom. As nicotine is a stimulant, it is plausible that smoking at night could disturb sleep more than smoking at earlier times of the day, but this remains empirically unclear. This study examined smoking status and its associations with insomnia severity and sleep duration while considering the potential role of smoking time. METHODS: Data were derived from the Sleep and Healthy Activity Diet Environment and Socialization study, a community-based study of 1007 adults (nnonsmokers = 818; nsmokers = 189) aged 22-60 from the Philadelphia area. Smoking status and time of smoking were self-reported. Insomnia was assessed with the Insomnia Severity Index and categorized as none, mild, and moderate-to-severe. Sleep duration was assessed with one item from the National Health and Nutrition Examination Survey and categorized as very short, short, normal, and long. Ordinal and multinomial logistic regressions were used to determine the association of smoking status including smoking time with insomnia severity and sleep duration controlling for sociodemographic covariates. RESULTS: Compared to nonsmoking, smoking was associated with experiencing increased insomnia (odds ratio = 2.5, 95% confidence interval [CI] 1.9, 3.4, P < .001) as well as very short (relative risk ratio = 1.9, 95% CI 1.1, 3.3) and short (relative risk ratio = 1.5, 95% CI 1.0, 2.3) sleep (vs normal sleep duration). Night-time smoking was significantly associated with greater insomnia and shorter sleep duration. CONCLUSIONS: Findings provide evidence that smoking is associated with increased insomnia severity and shorter sleep duration, particularly nightly smoking. Sleep health should be considered in smoking cessation efforts.

Sleep Duration and Efficiency Associated With Better Functional Exercise Capacity in Black Smokers at Risk for COPD.

BACKGROUND: Black smokers have earlier development of lung disease as well as poorer sleep health than whites. RESEARCH QUESTION: In a sample of black smokers, to what extent does sleep health modify the association between smoking level and functional exercise capacity? DESIGN AND METHODS: Cross-sectional data from 209 black smokers (≥ 1 cigarette in last month), aged 40 to 65 years with no evidence of sleep-disordered breathing (apnea-hypopnea index < 15) or severe COPD (FEV1 > 50%), were used for the current study. Self-reported smoking rate, objectively measured sleep efficiency (SE), total sleep time (TST), and the 6-min walk test (6MWT) for functional exercise capacity were the key assessments. RESULTS: The mean age was 54.8 years (SD, 5.96), and mean cigarettes smoked per day (cpd) was 8.71 (SD, 6.78). Mean SE was 69.9% (SD, 12.3%), and mean TST was 307.99 min (SD 92.2). In adjusted linear regression models of the 6MWT (meters), TST (slope estimate, -0.14; P = .14) and SE (slope estimate, -1.0; P = .19) were negatively associated with 6MWT. The smoking rate × SE interaction was highly significant (slope estimate, 0.18; P = .007) such that in individuals who smoked ≥ 10 cpd, every additional percentage of SE garnered an additional distance of 0.83 to 6.62 m. Similarly, the smoking rate × TST interaction was significant (slope estimate, 0.019; P = .03) such that in smokers who smoked ≥ 10 cpd, every additional minute of TST garnered an additional distance of 0.04 to 0.60 m. INTERPRETATION: Higher SE and, to a lesser extent, longer TST, in black adults who smoke ≥ 10 cpd is associated with better 6MWT performance. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov; No.: NCT03534076; URL: www.clinicaltrials.gov.

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.

Testing the feasibility of a system-based approach to deliver a smoking cessation and food nudging intervention at food pantry sites.

Food-insecure adults disproportionately experience high cardiovascular risk. Guided by the Feeding America recommendations, we tested the feasibly of a system-based approach to address the cardiovascular risk behaviors of current smoking and dietary choice at food distribution sites. Food pantries affiliated with the Food Bank of Delaware organization (N = 14) were invited to take part. Pantries who agreed solicited personnel within the pantry (i.e., staff, active volunteers) to become trained as quit-smoking coaches and/or food environment "nudging" interventionists. After training, trained personnel implemented the evidence-based treatments. Across a 6-month observation period, quit coaches reported each month on the number of (a) enrolled food pantry clients, (b) total quit-smoking sessions scheduled and attended, and (c) the smoking status of clients who attended the final, third session. Trained evaluators visited participating pantries once per month across the observation period to assess adherence to nudging guidelines. One in five (21%; 3/14) invited pantries participated in the study, and five personnel were trained to deliver intervention components. Across the observation period, quit coaches reported that 86 new smoking cessation clients were enrolled, 228 quit coaching sessions were scheduled, and 187 attended (82% attendance rate). Smoking cessation rates were estimated at 19%-36%. A 100% adherence to the food nudging approach was observed. These data demonstrate the feasibility of a system-based approach to build the capacity of food distribution sites and personnel to deliver smoking cessation quit-coaching and food nudging interventions on-site.

Shift Workers Have Higher Blood Pressure Medicine Use, But Only When They Are Short Sleepers: A Longitudinal UK Biobank Study.

Background Some, but not all, studies report associations between shift work and hypertension, suggesting that particular subgroups may be at risk. We examined moderating effects of sleep duration and circadian preference on the relationship between shift work and new blood pressure (BP) medicine use at follow-up. Methods and Results Baseline and 5-year follow-up data from the UK Biobank cohort (N=9200) were used to generate logistic regression models for shift workers and nonshift workers. The moderating effects of sleep duration (short ≤6 hours; adequate 7-8 hours; long ≥9 hours) and circadian preference (morning "larks;" intermediate; evening "owls") at baseline were examined with new BP medicine use at follow-up, adjusting for age, sex, race, education, employment, urban/rural, cardiovascular disease family history, depression, alcohol intake, physical activity, diet, smoking, and body mass index. The sample was predominately middle aged (55.3±7.4), female (57.3%), and white (97.9%). Most reported adequate sleep duration (7-8 hours, 73.7%) and were intermediate type (65.3%); 8.0% were shift workers at baseline. Only 6.5% reported new BP medicine use at follow-up. Short sleep duration was a significant moderator of new BP medicine use in shift workers. Among short sleepers, shift workers had a 2.1-fold increased odds of new BP medicine use compared with nonshift workers (odds ratio=2.08, 95% CI=1.21-3.58, P=0.008). In those reporting adequate (odds ratio=0.82, 95% CI=0.54-1.25, P=0.35) and long sleep (odds ratio=0.64, 95% CI=0.11-3.54, P=0.60), this relationship was protective but nonsignificant. Interaction between circadian preference and shift work on BP medicine use was nonsignificant. Conclusions Shift workers with short sleep duration may be at risk for hypertension.

HIV status and sleep disturbance in college students and relationship with smoking.

OBJECTIVE: Adults with HIV have greater sleep difficulties and are more likely to smoke cigarettes. We tested whether current smoking plays a role in sleep difficulties experienced by young adults with HIV. DESIGN: Cross-sectional. SETTING: Data were from the 2011-2014 waves of the National College Health Assessment, an annual survey conducted by the American College Health Association. PARTICIPANTS: 108,159 (including N = 224 HIV positive) college students provided data for this study. MEASUREMENTS: Health conditions (including HIV positive status) were self-reported. Participants were also asked whether "sleep difficulties" were "traumatic or difficult for you to handle" over the past 12 months. Smoking was self-reported (smokers reported smoking on at least 20 of the last 30 days). Logistic regression models were adjusted for age, sex, survey year, current alcohol use or current marijuana use, diagnosis and/or treatment of anxiety or depression in last year. RESULTS: HIV positive students were more likely to be smokers (OR = 2.0, SE = 0.43, 95% CI [1.31, 3.05], P = .001) and were more likely to experience sleep difficulties (OR = 2.02, SE = 0.29, 95% CI [1.52, 2.68], P < .0001). While a significant HIV-x-smoking interaction was not found, when models were stratified by smoking, the relationship between HIV status and sleep difficulties was seen among non-smokers (OR = 1.97), and this relationship was stronger among smokers (OR = 2.64). CONCLUSIONS: Among college students, HIV positive status is associated with increased sleep difficulties. These problems are worse among smokers. Sleep interventions are warranted in this vulnerable group, and could potentially enhance smoking cessation efforts.

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.

Sexting, Risk Behavior, and Mental Health in Adolescents: An Examination of 2015 Pennsylvania Youth Risk Behavior Survey Data.

BACKGROUND: Sexting, the sharing of sexually suggestive photos, may be a gateway behavior to early sexual activity and increase the likelihood of social ostracism. METHODS: Youth Risk Behavior Survey (N = 6021) data from 2015 among Pennsylvania 9th-12th grade students were used to examine associations between consensual and nonconsensual sexting and substance use, mental health, neighborhood safety, and demographic variables. RESULTS: Almost one-third (29%) of students reported consensual sexting, while 3% reported nonconsensual sexting. Female students were 49% less likely to report consensual sexting (OR = .69, 95% confidence interval [CI]: [0.54, 0.87]); consensual sexting was significantly more likely in students who reported depressive symptoms (OR = 1.39, 95% CI: [1.10, 1.75]), electronic bullying (OR = 1.46, 95% CI: [1.05, 2.04]), suicide attempts (OR = 1.96, 95% CI: [1.22, 3.17]), current tobacco use (OR = 1.99, 95% CI: [1.30, 3.03]), current alcohol use (OR = 4.23, 95% CI: [3.04, 5.89]), ever having sex (OR = 5.21, 95% CI: [3.87, 7.02]), and reported both ever having sex, and current alcohol use (OR = 7.74, 95% CI: [5.37, 11.14]). CONCLUSIONS: High school students, particularly men, that report sexting may be more likely to participate in other risk behaviors and experience negative mental health outcomes. Further research should clarify the temporality of links between sexting, cyberbullying, depression, and suicide to inform mental health screening and treatment availability in high schools.

Transitioning from adequate to inadequate sleep duration associated with higher smoking rate and greater nicotine dependence in a population sample.

INTRODUCTION: Inadequate sleep (≤6 and ≥9h) is more prevalent in smokers than non-smokers but the extent to which sleep duration in smokers relates to smoking behaviors and cessation outcomes, is not yet clear. To begin to address this knowledge gap, we investigated the extent to which sleep duration predicted smoking behaviors and quitting intention in a population sample. METHODS: Data from current smokers who completed the baseline (N=635) and 5-year follow-up (N=477) assessment in the United Kingdom Biobank cohort study were analyzed. Multivariable regression models using smoking behavior outcomes (cigarettes per day, time to first cigarette, difficulty not smoking for a day, quitting intention) and sleep duration (adequate (7-8h) versus inadequate (≤6 and ≥9h) as the predictor were generated. All models adjusted for age, sex, race, and education. RESULTS: Worsening sleep duration (adequate to inadequate) predicted a more than three-fold higher odds in increased cigarettes per day (OR=3.18; 95% CI=1.25-8.06), a more than three-fold increased odds of not smoking for the day remaining difficult (OR=3.90; 95% CI=1.27-12.01), and a >8-fold increased odds of higher nicotine dependence (OR=8.98; 95% CI=2.81-28.66). Improving sleep duration (i.e., inadequate to adequate sleep) did not predict reduced cigarette consumption or nicotine dependence in this population sample. CONCLUSION: Transitioning from adequate to inadequate sleep duration may be a risk factor for developing a more "hard-core" smoking profile. The extent to which achieving healthy sleep may promote, or optimize smoking cessation treatment response, warrants investigation.

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.

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 Cessation in Pulmonary Care Subjects: A Mixed Methods Analysis of Treatment-Seeking Participation and Preferences.

BACKGROUND: African-American smokers experience disproportionate COPD morbidity. As a front-line COPD behavioral management strategy, smoking cessation is less prevalent among African-American smokers. Identifying barriers and predictors to smoking cessation in this population is important to bridging this disparity. METHODS: In this study, the predictors of enrollment and attendance to a 3-session urban hospital smoking cessation program were examined. A retrospective chart review was conducted for all pulmonary clinic patients who smoked and were referred to the cessation program between June 2013 and May 2014. Demographic, smoking behavior, cardiopulmonary, and health status variables were extracted (N = 253). Second, a qualitative assessment of the beliefs and barriers for smoking cessation and physical activity were examined in a sub-sample of the population (n = 41). RESULTS: One-hundred forty-seven of the pulmonary subjects (58%) enrolled in the cessation program, and 40 attended all sessions (16% of the total sample). Participants with COPD (odds ratio = 4.65, P = .030), or had a mother who had cancer (odds ratio = 4.49, P = .027), were more likely to attend the program. Qualitatively, pulmonary care patients who wanted to quit smoking and be more physically active cited: strong beliefs about the inability to engage in these behaviors, belief that quitting and increased activity might exacerbate poor health, and an inability to obtain pharmacotherapy as barriers to adopting these behaviors. CONCLUSIONS: Smoking cessation program attendance in this sample of mostly African-American smokers was poor. Increased knowledge about cessation benefits and access to full-course pharmacotherapy, particularly in those without a COPD diagnosis and who do not have a maternal history of cancer, may be high-priority targets to promote cessation program uptake in this population. Increased knowledge and access to safe forms of physical activity may also be beneficial.