Use of tobacco products in any form is unsafe, and nearly all tobacco product use begins during adolescence. CDC and the Food and Drug Administration (FDA) analyzed data from the 2024 National Youth Tobacco Survey to determine tobacco product use among U.S. middle school (grades 6-8) and high school (grades 9-12) students. In 2024, current (previous 30-day) use of any tobacco product was reported by 10.1% of high school students (representing 1.58 million students) and 5.4% of middle school students (representing 640,000 students). Among all students, e-cigarettes were the most commonly reported tobacco product currently used (5.9%), followed by nicotine pouches (1.8%), cigarettes (1.4%), cigars (1.2%), smokeless tobacco (1.2%), other oral nicotine products (1.2%), heated tobacco products (0.8%), hookahs (0.7%), and pipe tobacco (0.5%). During 2023-2024, among all students, the estimated number who reported current use of any tobacco product decreased from 2.80 to 2.25 million students; e-cigarette use decreased (from 2.13 to 1.63 million students); and hookah use decreased (from 290,000 to 190,000 students). Among high school students, current use of any tobacco product decreased from 12.6% to 10.1% of students, and e-cigarette use decreased from 10.0% to 7.8%. Among middle school students, no statistically significant changes occurred. Evidence-based strategies can help prevent initiation and promote cessation of tobacco product use among U.S. youths.

Current e-cigarette use among U.S. youth has declined considerably since 2019*; however, approximately 2.13 million youths used e-cigarettes in 2023 (1). As sales of nicotine pouches (small, dissolvable, flavored pouches containing nicotine derived from tobacco that users place in the mouth between the lip and gum)(†) have continued to rise nationally since 2016, their use among U.S. youths has become concerning (2,3). All pouches and most e-cigarettes contain nicotine,(§) which is highly addictive and can harm the developing adolescent brain (4,5).

Tobacco product use during adolescence increases the risk for lifelong nicotine addiction and adverse health consequences. CDC and the Food and Drug Administration analyzed data from the 2023 National Youth Tobacco Survey to assess tobacco product use patterns among U.S. middle school (grades 6-8) and high school (grades 9-12) students. In 2023, 10.0% of middle and high school students (2.80 million) reported current (i.e., past 30-day) use of any tobacco product. Current use of any tobacco product by high school students declined by an estimated 540,000, from 2.51 million in 2022 to 1.97 million in 2023. From 2022 to 2023, current e-cigarette use among high school students declined from 14.1% to 10.0%. Among middle and high school students, e-cigarette products were the most used tobacco product in 2023 (7.7%; 2.13 million), followed by cigarettes (1.6%), cigars (1.6%), nicotine pouches (1.5%), smokeless tobacco (1.2%), other oral nicotine products (1.2%), hookahs (1.1%), heated tobacco products (1.0%), and pipe tobacco (0.5%). Among students who had ever used an e-cigarette, 46.7% reported current use. In 2023, among students reporting current e-cigarette use, 89.4% used flavored products and 25.2% used an e-cigarette daily; the most commonly reported brands were Elf Bar, Esco Bars, Vuse, JUUL, and Mr. Fog. Given the number of middle and high school students that use tobacco products, sustained efforts to prevent initiation of tobacco product use among young persons and strategies to help young tobacco users quit are critical to reducing U.S. youth tobacco product use.

INTRODUCTION: Outbreaks of pertussis can occur in healthcare settings. Vaccinating healthcare personnel may be helpful in protecting healthcare personnel from pertussis and potentially limiting spread to others in healthcare settings. METHODS: Data from 21 states using the 2013 Behavioral Risk Factor Surveillance System industry/occupation module were analyzed in 2016. Tetanus, diphtheria, and acellular pertussis (Tdap) vaccination status was self-reported by healthcare personnel along with their occupation, healthcare setting/industry, demographics, and access to care factors. To compare groups, t-tests were used. The median state response rate was 44.0%. RESULTS: Among all healthcare personnel, 47.2% were vaccinated for Tdap. Physicians had higher Tdap coverage (66.8%) compared with all other healthcare personnel except nurse practitioners and registered nurses (59.5%), whose coverage did not statistically differ from that of physicians. Tdap vaccination coverage was higher among workers in hospitals (53.3%) than in long-term care facilities (33.3%) and other clinical settings, such as dentist, chiropractor, and optometrist offices (39.3%). Healthcare personnel who were younger, who had higher education, higher annual household income, a personal healthcare provider, and health insurance had higher Tdap vaccination coverage compared with reference groups. Tdap vaccination coverage among healthcare personnel in 21 states ranged from 30.6% in Mississippi to 65.9% in Washington. CONCLUSIONS: Improvement in Tdap vaccination among healthcare personnel is needed to potentially reduce opportunities for spread of pertussis in healthcare settings. On-site workplace vaccination, offering vaccines free of charge, and promoting vaccination may increase vaccination among healthcare personnel.

OBJECTIVE: The aim of this study was to examine prevalence of obesity (body mass index of 30 or higher), no leisure-time physical activity in the past 30 days (no LTPA), and short sleep duration (averaging less than 7 hours of sleep per 24-hour period) among 22 occupational groups. METHODS: We analyzed 2013 and 2014 Behavioral Risk Factor Surveillance System (BRFSS) data from 29 states, controlling for sex, age, race/ethnicity, and education. RESULTS: By occupation, prevalence ranged from 16.1% to 35.8% for obesity, 11.3% to 28.7% for no LTPA, and 31.4% to 42.9% for short sleep. Only Transportation & Material Moving ranked among the top five occupations for all three risk factors. Obesity and no LTPA varied significantly by sex for several occupations. CONCLUSION: Prevalence of obesity, no LTPA, and short sleep varied by occupation and affected more than one in five U.S. workers.

BACKGROUND: Influenza illnesses can result in missed days at work and societal costs, but influenza vaccination can reduce the risk of disease. Knowledge of vaccination coverage by industry and occupation can help guide prevention efforts and be useful during influenza pandemic planning. METHODS: Data from 21 states using the 2013 Behavioral Risk Factor Surveillance System industry-occupation module were analyzed. Influenza vaccination coverage was reported by select industry and occupation groups, including health care personnel (HCP) and other occupational groups who may have first priority to receive influenza vaccination during a pandemic (tier 1). The t tests were used to make comparisons between groups. RESULTS: Influenza vaccination coverage varied by industry and occupation, with high coverage among persons in health care industries and occupations. Approximately half of persons classified as tier 1 received influenza vaccination, and vaccination coverage among tier 1 and HCP groups varied widely by state. CONCLUSIONS: This report points to the particular industries and occupations where improvement in influenza vaccination coverage is needed. Prior to a pandemic event, more specificity on occupational codes to define exact industries and occupations in each tier group would be beneficial in implementing pandemic influenza vaccination programs and monitoring the success of these programs.

PURPOSE: There is a growing body of evidence that the built environment influences diet and exercise and, as a consequence, community health status. Since long-haul truck drivers spend long periods of time at truck stops, it is important to know if this built environment includes resources that contribute to the emotional and physical well-being of drivers. SETTING: The truck stop environment was defined as the truck stop itself, grocery stores, and medical clinics near the truck stop that could be accessed by a large truck or safely on foot. DESIGN: Researchers at the National Institute for Occupational Safety and Health (NIOSH) developed and utilized a checklist to record the availability of resources for personal hygiene and comfort, communication and mental stimulation, health care, safety, physical activity, and nutrition at truck stops. SUBJECTS: The NIOSH checklist was used to collect data at a convenience sample of 16 truck stops throughout the United States along both high-flow and low-flow truck traffic routes. MEASURES: The checklist was completed by observation within and around the truck stops. RESULTS: No truck stops offered exercise facilities, 94% lacked access to health care, 81% lacked a walking path, 50% lacked fresh fruit, and 37% lacked fresh vegetables in their restaurant or convenience store. CONCLUSION: The NIOSH found that most truck stops did not provide an overall healthy living environment.

Approximately 1,701,500 people were employed as heavy and tractor-trailer truck drivers in the United States in 2012. The majority of them were long-haul truck drivers (LHTDs). There are limited data on occupational injury and safety in LHTDs, which prompted a targeted national survey. The National Institute of Occupational Safety and Health conducted a nationally representative survey of 1265 LHTDs at 32 truck stops across the contiguous United States in 2010. Data were collected on truck crashes, near misses, moving violations, work-related injuries, work environment, safety climate, driver training, job satisfaction, and driving behaviors. Results suggested that an estimated 2.6% of LHTDs reported a truck crash in 2010, 35% reported at least one crash while working as an LHTD, 24% reported at least one near miss in the previous 7 days, 17% reported at least one moving violation ticket and 4.7% reported a non-crash injury involving days away from work in the previous 12 months. The majority (68%) of non-crash injuries among company drivers were not reported to employers. An estimate of 73% of LHTDs (16% often and 58% sometimes) perceived their delivery schedules unrealistically tight; 24% often continued driving despite fatigue, bad weather, or heavy traffic because they needed to deliver or pick up a load at a given time; 4.5% often drove 10miles per hours or more over the speed limit; 6.0% never wore a seatbelt; 36% were often frustrated by other drivers on the road; 35% often had to wait for access to a loading dock; 37% reported being noncompliant with hours-of-service rules (10% often and 27% sometimes); 38% of LHTDs perceived their entry-level training inadequate; and 15% did not feel that safety of workers was a high priority with their management. This survey brings to light a number of important safety issues for further research and interventions, e.g., high prevalence of truck crashes, injury underreporting, unrealistically tight delivery schedules, noncompliance with hours-of-service rules, and inadequate entry-level training.

BACKGROUND: Motor vehicle crashes were the leading cause of occupational fatalities in the United States in 2012, accounting for 25% of deaths. Truck drivers accounted for 46% of these deaths. This study estimates the prevalence of seat belt use and identifies factors associated with nonuse of seat belts among long-haul truck drivers (LHTDs), a group of workers at high risk for fatalities resulting from truck crashes. METHODS: CDC analyzed data from its 2010 national survey of LHTD health and injury. A total of 1,265 drivers completed the survey interview. Logistic regression was used to examine the association between seat belt nonuse and risk factors. RESULTS: An estimated 86.1% of LHTDs reported often using a seat belt, 7.8% used it sometimes, and 6.0% never. Reporting never using a belt was associated with often driving ≥10 mph (16 kph) over the speed limit (adjusted odds ratio [AOR] = 2.9), working for a company with no written safety program (AOR = 2.8), receiving two or more tickets for moving violations in the preceding 12 months (AOR = 2.2), living in a state without a primary belt law (AOR = 2.1); and being female (AOR = 2.3). CONCLUSIONS: Approximately 14% of LHTDs are at increased risk for injury and death because they do not use a seat belt on every trip. Safety programs and other management interventions, engineering changes, and design changes might increase seat belt use among LHTDs. IMPLICATIONS FOR PUBLIC HEALTH: Primary state belt laws can help increase belt use among LHTDs. Manufacturers can use recently collected anthropometric data to design better-fitting and more comfortable seat belt systems.

OBJECTIVE: To compare selected health behaviors and body mass index (modifiable risk factors) of US long-haul truck drivers to the US working population by sex. METHODS: The National Survey of US Long-Haul Truck Driver Health and Injury interviewed a nationally representative sample of long-haul truck drivers (n = 1265) at truck stops. Age-adjusted results were compared with national health surveys. RESULTS: Compared with US workers, drivers had significantly higher body mass index, current cigarette use, and pack-years of smoking; lower prevalence of annual influenza vaccination; and generally lower alcohol consumption. Physical activity level was low for most drivers, and 25% had never had their cholesterol levels tested. CONCLUSIONS: Working conditions common to long-haul trucking may create significant barriers to certain healthy behaviors; thus, transportation and health professionals should address the unique work environment when developing interventions for long-haul drivers.

BACKGROUND: Drivers of heavy and tractor-trailer trucks accounted for 56% of all production and nonsupervisory employees in the truck transportation industry in 2011. There are limited data for illness and injury in long-haul truck drivers, which prompted a targeted national survey. METHODS: Interviewers collected data during 2010 from 1,670 long-haul truck drivers at 32 truck stops across the 48 contiguous United States that were used to compute prevalence estimates for self-reported health conditions and risk factors. RESULTS: Obesity (69% vs. 31%, P < 0.01) and current smoking (51% vs. 19%, P < 0.01) were twice as prevalent in long-haul truck drivers as in the 2010 U.S. adult working population. Sixty-one percent reported having two or more of the risk factors: hypertension, obesity, smoking, high cholesterol, no physical activity, 6 or fewer hours of sleep per 24-hr period. CONCLUSION: Survey findings suggest a need for targeted interventions and continued surveillance for long-haul truck drivers.

BACKGROUND: The TWU super sector is engaged in the movement of passengers and cargo, warehousing of goods, and the delivery of services. The purpose of this study is to describe employee self-reported personal risk factors, health behaviors and habits, disease and chronic conditions, and employer-reported nonfatal injury experiences of workers in the TWU super sector. METHODS: National Health Interview Survey (NHIS) data for 1997-2007, grouped into six morbidity and disability categories and three age groups, were reviewed. Demographic characteristics and prevalence estimates are reported for workers in the TWU super sector and the entire U.S. workforce, and compared with national adult population data from the NHIS. Bureau of Labor Statistics employer-reported TWU injury data from 2003 to 2007 was also reviewed. RESULTS: An average of 8.3 million workers were employed annually in the TWU super sector. TWU workers 65 or older reported the highest prevalence of hypertension (49%) across all industry sectors, but the 20% prevalence is notable among middle age workers (25-64). TWU workers had the highest prevalence of obesity (28%), compared to workers in all other industry sectors. Female TWU workers experienced the highest number of lost workdays (6.5) in the past year across all TWU demographic groups. CONCLUSIONS: Self-reported high proportions of chronic conditions including hypertension and heart disease combined with elevated levels of being overweight and obese, and lack of physical activity-particularly among TWUs oldest workers-can meaningfully inform wellness strategies and interventions focused on this demographic group. (Am. J. Ind. Med. (c) 2012 Wiley Periodicals, Inc.)

Previous studies report that truck drivers are at increased risk for illness and on-the-job mortality. It is unknown whether owner-operator truck drivers face the same risks as employee drivers, yet few studies have targeted owner-operators as a study population. This study examined the overall and cause-specific mortality ratios for a cohort with owner-operator truck drivers constituting 69% of the study population. Of the 26 major disease classifications and 92 specific causes of death examined, only mortality due to transportation accidents was significantly elevated (standardized mortality ratio=1.52, 95% confidence interval=1.36-1.70). Leading causes of death were ischemic heart disease and lung cancer, although risk was below that of the general population. Transportation accidents pose a particular hazard for members of the trade association. The absence of excess disease mortality deserves careful interpretation, and may be due to both a strong healthy worker effect and a short monitoring period.