In 2021, the Centers for Disease Control and Prevention's (CDC) National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP) funded community health workers (CHWs) for COVID Response and Resilient Communities (CCR). CCR is a 3-year, $350 million initiative to implement CHW strategies aimed at reducing COVID-19 impacts, building resilience, and improving health equity by addressing health-related social needs. This paper describes the CCR initiative and experiences to date, underscoring CHWs' critical role in CDC's pandemic response. CCR funds 67 recipients to reach communities who are disproportionately affected by long-standing health disparities (hereafter, priority populations). CCR aims to decrease the impact of COVID-19 and increase community resilience to respond to COVID-19 and future public health emergencies. Recipients implement three strategies: train CHWs to support the COVID-19 response, increase the workforce of CHWs to manage the spread of the disease, and improve utilization of community and clinical resources to engage CHWs to help strengthen communities' resilience to mitigate the impact of COVID-19. We funded three additional organizations to provide technical assistance to CCR recipients and collaborate with us on a national evaluation of the program. CCR recipients hired about 950 CHWs and integrated these CHWs into over 1,000 organizations and care teams. At the end of the second program year, CHWs made over 250,000 referrals to social services and over 150,000 referrals to address specific health conditions. CCR demonstrates that CHWs can be quickly mobilized to participate in a public health emergency and reach those most affected by COVID-19.

CONTEXT: The "community-based workforce" is an umbrella term used by a workgroup of U.S. Department of Health and Human Services (HHS) leaders to characterize a variety of job titles and descriptions for positions in the public health, health care delivery, and human service sectors across local communities. APPROACH: Definitions, expectations of the scope of work, and funding opportunities for this workforce vary. To address some of these challenges, a workgroup of HHS agencies met to define the roles of this workforce and identify existing opportunities for training, career advancement, and compensation. DISCUSSION: The community-based workforce has demonstrated success in improving poor health outcomes and addressing the social determinants of health for decades. However, descriptions of this workforce, expectations of their roles, and funding opportunities vary. The HHS workgroup identified that comprehensive approaches are needed within HHS and via public health sectors to meet these challenges and opportunities. CONCLUSION: Using the common term "community-based workforce" across HHS can encourage alignment and collaboration. As the environment for this public health and health care community-based workforce shifts, it will be important to understand the value and opportunities available to ensure long-term sustainability for this workforce to continue to advance health equity.

INTRODUCTION: Cardiovascular disease (CVD) is the leading cause of death in the United States. Certain demographic characteristics are associated with disparities in CVD and its risk factors, which may interact with specific social determinants of health (SDOH). We examined the association of a single SDOH (ie, poverty level) with diagnosed CVD morbidity and the joint influence of poverty and hypertension on the prevalence of CVD morbidity among non-Hispanic Black, non-Hispanic White, and Hispanic people aged 30 years or older. METHODS: We used data from the National Health and Nutrition Examination Survey collected during 1999 to 2018. We assessed the prevalence of diagnosed CVD morbidity (eg, self-reported coronary heart disease, angina, myocardial infarction, or stroke) by using a Poisson family with a log link regression model. We calculated the additive interaction of poverty level with hypertension on diagnosed CVD morbidity for each race and ethnicity. RESULTS: We found excess CVD morbidity among non-Hispanic Black and Hispanic people experiencing poverty and diagnosed with hypertension compared with their non-Hispanic White counterparts. Multivariate analysis found a higher prevalence of CVD among participants of all races and ethnicities who were experiencing poverty and among non-Hispanic White people who had less than a college education. In addition, age, hypertension, poverty, smoking, and weight were significant predictors of the prevalence of CVD morbidity among all racial and ethnic groups. CONCLUSION: Changes to interventions, policies, and research may be needed to address the effect of key indicators of health disparities and specific SDOH, such as poverty level, that intersect with hypertension and contribute to excess CVD morbidity among people of some racial and ethnic groups, particularly non-Hispanic Black and Hispanic populations.

This article summarizes what is currently known about the 2019 novel coronavirus and offers interim guidance.

Quitting smoking is one of the most important changes individuals can make to improve their health. The US Surgeon General concluded in 2020 that smoking cessation reduces the risk for all-cause mortality, cardiovascular diseases, chronic obstructive pulmonary disease, adverse reproductive health outcomes, and 12 types of cancer.1 Although considerable progress has been made in the US in reducing smoking over the past half century, there is still work to be done: it is estimated that 34 million US adults smoke cigarettes,2 more than 480 000 die annually from smoking or tobacco smoke exposure, and more than 16 million are living with a smoking-related illness.3

Thirty-one state and territorial public health agencies participated in a learning collaborative to improve diagnosis and management of hypertension in clinical and community settings. These health agencies implemented public health and clinical interventions in medical settings and health organizations using a logic model and rapid quality improvement process focused on a framework of 4 systems-change levers: 1) data-driven action, 2) clinical practice standardization, 3) clinical-community linkages, and 4) financing and policy. We provide examples of how public health agencies applied the systems-change framework in all 4 areas to assess and modify population-based interventions to improve control of hypertension. This learning collaborative approach illustrates the importance of public health in the prevention and control of chronic disease by supporting interventions that address community and clinical linkages to address medical risk factors associated with cardiovascular disease.

The National Center for Chronic Disease Prevention and Health Promotion at the Centers for Disease Control and Prevention funds a program to boost progress in reducing the prevalence and incidence of multiple chronic diseases and their associated risk factors. This article describes the program, State Public Health Actions to Prevent and Control Diabetes, Heart Disease, Obesity and Associated Risk Factors, and Promote School Health, and the program's action model, design, and administration and management structure. This program is based on 4 domains of public health action: 1) epidemiology and surveillance, 2) environmental approaches, 3) health care system interventions, and 4) community programs linked to clinical services. The 4 domains of public health action leverage data to inform action, support healthy choices and behaviors, strengthen delivery of clinical preventive services, and help Americans better manage their health.

The National, Heart, Lung, and Blood Institute convened a Think Tank meeting to obtain insight and recommendations regarding the objectives and design of the next generation of research aimed at reducing health inequities in the United States. The panel recommended several specific actions, including: 1) embrace broad and inclusive research themes; 2) develop research platforms that optimize the ability to conduct informative and innovative research, and promote systems science approaches; 3) develop networks of collaborators and stakeholders, and launch transformative studies that can serve as benchmarks; 4) optimize the use of new data sources, platforms, and natural experiments; and 5) develop unique transdisciplinary training programs to build research capacity. Confronting health inequities will require engaging multiple disciplines and sectors (including communities), using systems science, and intervening through combinations of individual, family, provider, health system, and community-targeted approaches. Details of the panel's remarks and recommendations are provided in this report.

INTRODUCTION: E-cigarette use is increasing, and the long-term impact on public health is unclear. We described the acute adverse health effects from e-cigarette exposures reported to U.S. poison centers. METHODS: We compared monthly counts and demographic, exposure, and health effects data of calls about e-cigarettes and conventional cigarettes made to poison centers from September 2010 through December 2014. RESULTS: Monthly e-cigarette calls increased from 1 in September 2010, peaked at 401 in April 2014, and declined to 295 in December 2014. Monthly conventional cigarette calls during the same period ranged from 302 to 514. E-cigarette calls were more likely than conventional cigarette calls to report adverse health effects, including vomiting, eye irritation, and nausea. Five e-cigarette calls reported major health effects, such as respiratory failure, and there were two deaths associated with e-cigarette calls. CONCLUSION: E-cigarette calls to U.S. poison centers increased over the study period, and were more likely than conventional cigarettes to report adverse health effects. It is important for health care providers and the public to be aware of potential acute health effects from e-cigarettes. Developing strategies to monitor and prevent poisonings from these novel devices is critical.

BACKGROUND: The extent to which patients with COPD are receiving indicated treatment with medications to improve lung function and recent trends in the use of these medications is not well documented in the United States. The objective of this study was to examine trends in prescription medications for COPD among adults in the United States from 1999 to 2010. METHODS: We performed a trend analysis using data from up to 1426 participants aged ≥20 years with self-reported COPD from six national surveys (National Health and Nutrition Examination Survey 1999-2010). RESULTS: During 2009-2010, the age-adjusted percentage of participants who used any kind of medication was 44.2%. Also during 2009-2010, the most commonly used medications were short-acting agents (36.0%), inhaled corticosteroids (ICS) (18.3%), and LABAs (16.7%). The use of long-acting beta-2 agonists (LABAs) (p for trend <0.001), ICS (p for trend = 0.013) increased significantly over the 12-year period. Furthermore, the use of tiotropium increased rapidly during this period (p for trend <0.001). For the years 2005-2010, the use of LABAs, ICS and tiotropium increased with age. Compared with whites, Mexican Americans were less likely to use short-acting agents, LABAs, ICS, tiotropium, and any kind of COPD medication. Among participants aged 20-79 years with spirometry measurements during 2007-2010, the use of any medication was reported by 19.0% of those with a moderate/severe obstructive impairment and by 72.6% of those with self-reported COPD and any obstructive impairment. CONCLUSION: The percentages of adults with COPD who reported having various classes of prescription medications that improve airflow limitations changed markedly from 1999-2000 to 2009-2010. However, many adults with COPD did not report having recommended prescription medications.

PURPOSE: To assess associations among chronic obstructive pulmonary disease (COPD), disability as measured by activities of daily living (ADL) and instrumental ADL (IADL), engagement in social activities, and death among elderly noninstitutionalized US residents. MATERIALS AND METHODS: A nationally representative sample of 9,415 adults who were aged ≥70 years and responded to the Second Supplement on Aging survey in 1994-1996 and mortality follow-up study through 2006 were assessed. Multiple logistic regression analyses were performed to assess the risk of all-cause mortality in participants with COPD after accounting for age, sex, race/ethnicity, and smoking status. RESULTS: At baseline, approximately 9.6% of study participants reported having COPD. Compared with participants without COPD, those with COPD were significantly more likely (P<0.05) to have difficulty with at least one ADL (44.3% versus [vs] 27.5%) and with at least one IADL (59.9% vs 40.2%), significantly less likely to be engaged in social activities (32.6% vs 26.3%), and significantly more likely to die by 2006 (70.7% vs 60.4%; adjusted risk ratio 1.15, P<0.05). The association between COPD and risk for death was moderately attenuated by disability status. CONCLUSION: COPD is positively associated with disability and mortality risk among US adults aged ≥70 years. The significant relationship between COPD and mortality risk was moderately attenuated, but was not completely explained by stages of ADL and IADL limitations and social activities.

BACKGROUND: National spirometric surveillance data in the United States were last collected during 1988-1994. The objective of this study was to provide current estimates for obstructive and restrictive impairment of lung function and to examine changes since 1988-1994. METHODS: We used data from 14,360 participants aged 20 to 79 years from the National Health and Nutrition Examination Survey (NHANES) III (1988-1994) and 9,024 participants from NHANES 2007-2010. Spirometry was conducted using the same spirometers and generally similar protocols. RESULTS: During 2007-2010, 13.5% (SE, 0.6) of participants had evidence of airway obstruction (FEV1/FVC < 0.70): 79.9% of adults had normal lung function, 6.5% had a restrictive impairment, 7.5% had mild obstruction, 5.4% had moderate obstruction, and 0.7% had severe obstruction. Although the overall age-adjusted prevalence of any obstruction did not change significantly from 1988-1994 (14.6%) to 2007-2010 (13.5%) (P = .178), significant decreases were noted for participants aged 60 to 79 years and for Mexican Americans. The prevalence of current smoking remained high among participants with moderate (48.4%) and severe (37.9%) obstructive impairments. A significant decline in current smoking occurred only among those with normal lung function (P < .05). CONCLUSION: Spirometry revealed little change in the prevalence of any obstructive and restrictive impairment in lung function during 2007-2010, compared with 1988-1994.

OBJECTIVE: This investigation examined the association of anxiety or depressive disorder and frequent insufficient sleep. METHODS: Data were obtained from a 2010 telephone survey of a population-based sample of 113,936 adults in 20 states. Respondents were asked how often they did not get enough rest or sleep and if they had ever received a diagnosis of an anxiety or depressive disorder. Frequent insufficient sleep was defined as insufficient rest or sleep during ≥ 14 of the past 30 days. RESULTS: Frequent insufficient sleep was reported by 27.0% of the sample and was significantly more common (p<.05) among respondents who reported both anxiety and depressive disorders (48.6%), depressive disorders only (39.0%), or anxiety only (37.5%) than among adults who reported neither disorder (23.1%). CONCLUSIONS: Frequent insufficient sleep is associated with depressive and anxiety disorders, and the odds of the sleep disorder are increased when both classes of psychiatric disorders are diagnosed.

BACKGROUND: Among the largest US metropolitan areas, trends in mortality rates for injection drug users (IDUs) with AIDS vary substantially. Ecosocial, risk environment and dialectical theories suggest many metropolitan areas characteristics that might drive this variation. We assess metropolitan area characteristics associated with decline in mortality rates among IDUs living with AIDS (per 10,000 adult MSA residents) after highly active antiretroviral therapy (HAART) was developed. METHODS: This is an ecological cohort study of 86 large US metropolitan areas from 1993-2006. The proportional rate of decline in mortality among IDUs diagnosed with AIDS (as a proportion of adult residents) from 1993-1995 to 2004-2006 was the outcome of interest. This rate of decline was modeled as a function of MSA-level variables suggested by ecosocial, risk environment and dialectical theories. In multiple regression analyses, we used 1993-1995 mortality rates to (partially) control for pre-HAART epidemic history and study how other independent variables affected the outcomes. RESULTS: In multivariable models, pre-HAART to HAART era increases in 'hard drug' arrest rates and higher pre-HAART income inequality were associated with lower relative declines in mortality rates. Pre-HAART per capita health expenditure and drug abuse treatment rates, and pre- to HAART-era increases in HIV counseling and testing rates, were weakly associated with greater decline in AIDS mortality. CONCLUSIONS: Mortality among IDUs living with AIDS might be decreased by reducing metropolitan income inequality, increasing public health expenditures, and perhaps increasing drug abuse treatment and HIV testing services. Given prior evidence that drug-related arrest rates are associated with higher HIV prevalence rates among IDUs and do not seem to decrease IDU population prevalence, changes in laws and policing practices to reduce such arrests while still protecting public order should be considered.

OBJECTIVE: Frequent insufficient sleep, defined as ≥14 days/past 30 days in which an adult did not get enough rest or sleep, is associated with adverse mental and physical health outcomes. Little is known about the prevalence of frequent insufficient sleep among American Indians/Alaska Natives (AI/AN). METHODS: We assessed racial/ethnic differences in the prevalence of frequent insufficient sleep from the combined 2009-2010 Behavioral Risk Factor Surveillance Survey among 810,168 respondents who self-identified as non-Hispanic white (NHW, n = 671,448), non-Hispanic black (NHB, n = 67,685), Hispanic (n = 59,528), or AI/AN (n = 11,507). RESULTS: We found significantly higher unadjusted prevalences (95% CI) of frequent insufficient sleep among AI/AN (34.2% [32.1-36.4]) compared to NHW (27.4% [27.1-27.6]). However, the age-adjusted excess prevalence of frequent insufficient sleep in AI/AN compared to NHW was decreased but remained significant with the addition of sex, education, and employment status; this latter relationship was further attenuated by the separate additions of obesity and lifestyle indicators, but was no longer significant with the addition of frequent mental distress to the model (PR = 1.05; 95% CI : 0.99-1.13). This is the first report of a high prevalence of frequent insufficient sleep among AI/AN. These results further suggest that investigation of sleep health interventions addressing frequent mental distress may benefit AI/AN populations.

BACKGROUND: Although evidence suggests that poor sleep is associated with chronic disease, little research has been conducted to assess the relationships between insufficient sleep, frequent mental distress (FMD ≥14 days during the past 30 days), obesity, and chronic disease including diabetes mellitus, coronary heart disease, stroke, high blood pressure, asthma, and arthritis. METHODS: Data from 375,653 US adults aged ≥ 18 years in the 2009 Behavioral Risk Factor Surveillance System were used to assess the relationships between insufficient sleep and chronic disease. The relationships were further examined using a multivariate logistic regression model after controlling for age, sex, race/ethnicity, education, and potential mediators (FMD and obesity). RESULTS: The overall prevalence of insufficient sleep during the past 30 days was 10.4% for all 30 days, 17.0% for 14-29 days, 42.0% for 1-13 days, and 30.6% for zero day. The positive relationships between insufficient sleep and each of the six chronic disease were significant (p < 0.0001) after adjustment for covariates and were modestly attenuated but not fully explained by FMD. The relationships between insufficient sleep and both diabetes and high blood pressure were also modestly attenuated but not fully explained by obesity. CONCLUSIONS: Assessment of sleep quantity and quality and additional efforts to encourage optimal sleep and sleep health should be considered in routine medical examinations. Ongoing research designed to test treatments for obesity, mental distress, or various chronic diseases should also consider assessing the impact of these treatments on sleep health.

BACKGROUND: Although adverse childhood experiences (ACEs) have previously been demonstrated to be adversely associated with a variety of health outcomes in adulthood, their specific association with sleep among adults has not been examined. To better address this issue, this study examines the relationship between eight self-reported ACEs and frequent insufficient sleep among community-dwelling adults residing in 5 U.S. states in 2009. METHODS: To assess whether ACEs were associated with frequent insufficient sleep (respondent did not get sufficient rest or sleep ≥14 days in past 30 days) in adulthood, we analyzed ACE data collected in the 2009 Behavioral Risk Factor Surveillance System, a random-digit-dialed telephone survey in Arkansas, Louisiana, New Mexico, Tennessee, and Washington. ACEs included physical abuse, sexual abuse, verbal abuse, household mental illness, incarcerated household members, household substance abuse, parental separation/divorce, and witnessing domestic violence before age 18. Smoking status and frequent mental distress (FMD) (≥14 days in past 30 days when self-perceived mental health was not good) were assessed as potential mediators in multivariate logistic regression analyses of frequent insufficient sleep by ACEs adjusted for race/ethnicity, gender, education, and body mass index. RESULTS: Overall, 28.8% of 25,810 respondents reported frequent insufficient sleep, 18.8% were current smokers, 10.8% reported frequent mental distress, 59.5% percent reported ≥1 ACE, and 8.7% reported ≥ 5 ACEs. Each ACE was associated with frequent insufficient sleep in multivariate analyses. Odds of frequent insufficient sleep were 2.5 (95% CI, 2.1-3.1) times higher in persons with ≥5 ACEs compared to those with no ACEs. Most relationships were modestly attenuated by smoking and FMD, but remained significant. CONCLUSIONS: Childhood exposures to eight indicators of child maltreatment and household dysfunction were significantly associated with frequent insufficient sleep during adulthood in this population. ACEs could be potential indicators promoting further investigation of sleep insufficiency, along with consideration of FMD and smoking.

BACKGROUND: Morgellons is a poorly characterized constellation of symptoms, with the primary manifestations involving the skin. We conducted an investigation of this unexplained dermopathy to characterize the clinical and epidemiologic features and explore potential etiologies. METHODS: A descriptive study was conducted among persons at least 13 years of age and enrolled in Kaiser Permanente Northern California (KPNC) during 2006-2008. A case was defined as the self-reported emergence of fibers or materials from the skin accompanied by skin lesions and/or disturbing skin sensations. We collected detailed epidemiologic data, performed clinical evaluations and geospatial analyses and analyzed materials collected from participants' skin. RESULTS: We identified 115 case-patients. The prevalence was 3.65 (95% CI = 2.98, 4.40) cases per 100,000 enrollees. There was no clustering of cases within the 13-county KPNC catchment area (p = .113). Case-patients had a median age of 52 years (range: 17-93) and were primarily female (77%) and Caucasian (77%). Multi-system complaints were common; 70% reported chronic fatigue and 54% rated their overall health as fair or poor with mean Physical Component Scores and Mental Component Scores of 36.63 (SD = 12.9) and 35.45 (SD = 12.89), respectively. Cognitive deficits were detected in 59% of case-patients and 63% had evidence of clinically significant somatic complaints; 50% had drugs detected in hair samples and 78% reported exposure to solvents. Solar elastosis was the most common histopathologic abnormality (51% of biopsies); skin lesions were most consistent with arthropod bites or chronic excoriations. No parasites or mycobacteria were detected. Most materials collected from participants’ skin were composed of cellulose, likely of cotton origin. | CONCLUSIONS: This unexplained dermopathy was rare among this population of Northern California residents, but associated with significantly reduced health-related quality of life. No common underlying medical condition or infectious source was identified, similar to more commonly recognized conditions such as delusional infestation.

OBJECTIVE: To examine associations between insufficient sleep (<8h on average school nights) and health-risk behaviors. METHOD: 2007 national Youth Risk Behavior Survey data of U.S. high school students (n=12,154) were analyzed. Associations were examined on weighted data using multivariate logistic regression. RESULTS: Insufficient sleep on an average school night was reported by 68.9% of students. Insufficient sleep was associated with higher odds of current use of cigarettes (age-adjusted odds ratio [AOR], 1.67; 95% confidence interval [CI], 1.45-1.93), marijuana (AOR, 1.52; 95% CI, 1.31-1.76), and alcohol (AOR, 1.64; 95% CI, 1.46-1.84); current sexual activity (AOR, 1.41; 95% CI, 1.25-1.59); seriously considered attempting suicide (AOR, 1.86; 95% CI, 1.60-2.16); feeling sad or hopeless (AOR, 1.62; 95% CI, 1.43-1.84); physical fighting (AOR, 1.40; 95% CI, 1.24-1.60), not being physically active at least 60min≥5days in the past 7days (AOR, 1.16; 95% CI, 1.04-1.29), using the computer ≥3h/day (AOR, 1.58; 95% CI, 1.38-1.80), and drinking soda/pop >1time/day (AOR, 1.14; 95% CI, 1.03-1.28). CONCLUSION: Two-thirds of adolescent students reported insufficient sleep, which was associated with many health-risk behaviors. Greater awareness of the impact of sleep insufficiency is vital.

BACKGROUND: Hospitalizations for persons with chronic obstructive pulmonary disease (COPD) result in significant health care resource use and excess expenditures. Despite well-documented sociodemographic disparities in COPD outcomes, no study has characterized geographic variations in COPD hospitalization across the US. METHODS: Almost 3.8 million COPD hospitalization records were extracted from Medicare claims for 1995-2006, and the total population of eligible Medicare beneficiaries was extracted from the Medicare enrollment records to calculate COPD hospitalization rates by Health Service Area (HSA), (n = 949). Spatial cluster analysis and Bayesian hierarchical spatial modeling were used to characterize the geography of COPD hospitalizations. RESULTS: The overall COPD hospitalization rate was 11.30 per 1,000 beneficiaries for the aggregated period 1995-2006. HSA-level COPD hospitalization rates had a median of 11.7 and a range of 3.0 (Cache, UT) to 76.3 (Pike, KY). Excessive hospitalization risk was concentrated in Appalachia, the southern Great Lakes, the Mississippi Delta, the Deep South, and west Texas. In the Bayesian spatial mixture model, 73% of variability of COPD hospitalization relative risk was attributed to unidentified regional social and physical environments shared by HSAs rather than to unique local HSA factors (27%). CONCLUSION: We discovered distinct geographic patterns in COPD hospitalization rates and risks attributed to both regionally-shared environmental risk factors and HSA-unique environmental contexts. The correlates of these geographic patterns remain to be determined. Geographic comparisons of COPD hospitalization risk provide insights for better public health practice, policies, and programs for COPD prevention.

BACKGROUND: Over the past 50 years, the average sleep duration for adults in the United States has decreased while the prevalence of obesity and associated outcomes has increased. The objective of this study was to determine whether perceived insufficient sleep was associated with body mass index (BMI) in a national sample. METHODS: We analyzed data from the 2008 Behavioral Risk Factor Surveillance System (BRFSS) survey (N = 384,541) in which respondents were asked, "During the past 30 days, for about how many days have you felt you did not get enough rest or sleep?" We divided respondents into six BMI categories and used multivariable linear regression and logistic regression analyses to assess the association between BMI categories and days of insufficient sleep after adjusting for sociodemographic variables, smoking, physical activity, and frequent mental distress. RESULTS: Adjusted mean days of insufficient sleep ranged from 7.9 (95% confidence interval [CI]: 7.8, 8.0) days for people of normal weight to 10.5 (95% CI: 10.2, 10.9) days for those in the highest weight category (BMI ≥ 40). Days of perceived insufficient sleep followed a linear trend across BMI categories. The likelihood of reporting ≥14 days of insufficient sleep in the previous 30 days was higher for respondents in the highest weight category than for those who were normal weight (34.9% vs. 25.2%; adjusted odds ratio = 1.7 (95% CI: 1.5, 1.8]). CONCLUSION: Among U.S. adults, days of insufficient rest or sleep strongly correlated with BMI. Sleep sufficiency should be an important consideration in the assessment of the health of overweight and obese people and should be considered by developers of weight-reduction programs.

The World Health Organization (WHO) defines mental health as “not just the absence of mental disorder” but “as a state of well-being in which every individual realizes his or her own potential, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to her or his community.”1(p2) Mental illness, on the other hand, is the “term that refers collectively to all diagnosable mental disorders” that are “health conditions that are characterized by alterations in thinking, mood, or behavior (or some combination thereof) associated with distress and/or impaired functioning.”2(p5) | Further, WHO has long defined health as “a state of complete physical, mental, and social well-being and not merely the absence of disease, or infirmity.”3(p100) Given these definitions, it should be clear that there is no health without mental health.

We describe the prevalence of insufficient, borderline, and optimal sleep hours among U.S. high school students on an average school night. Most students (68.9%) reported insufficient sleep, whereas few (7.6%) reported optimal sleep. The prevalence of insufficient sleep was highest among female and black students, and students in grades 11 and 12.