BACKGROUND: Frequent consumption of sugar-sweetened beverages (SSB) is associated with an increased risk of some health outcomes. OBJECTIVE: We investigated the relationships between knowledge of health risks related to SSB and SSB intake among adults. METHODS: This cross-sectional study utilized data from the 2021 SummerStyles survey. There were 4022 US adult participants (≥18 years). The outcome variable was SSB intake (none, >0 to <1, 1 to <2, or ≥2 times/day). The exposure variables were knowledge of the association between SSB and seven health conditions. Statistical analyses included seven multinomial regressions to estimate adjusted odds ratios (AOR) for the consumption of SSB according to knowledge of SSB-related health risks after controlling for sociodemographics. RESULTS: Overall, about 30% of adults consumed SSB ≥ 2 times/day. While most adults identified SSB-related conditions such as weight gain (84.0%), diabetes (78.4%), and cavities (74.2%) as being related to drinking SSB, fewer adults recognized related conditions, such as some cancers (23.9%), high cholesterol (28.4%), heart disease (33.5%), and high blood pressure (37.8%). Knowledge of any of the health conditions was not significantly associated with consuming SSB ≥ 2 times/day compared to non-SSB consumers. CONCLUSIONS: Knowledge of SSB-related health conditions varied by sociodemographics but was not associated with high SSB intake. Future studies could explore other factors beyond knowledge that may influence adults' high SSB intake.

The coronavirus disease 2019 (COVID-19) pandemic has highlighted the vulnerability of residents and staff members in long-term care facilities (LTCFs) (1). Although skilled nursing facilities (SNFs) certified by the Centers for Medicare & Medicaid Services (CMS) have federal COVID-19 reporting requirements, national surveillance data are less readily available for other types of LTCFs, such as assisted living facilities (ALFs) and those providing similar residential care. However, many state and territorial health departments publicly report COVID-19 surveillance data across various types of LTCFs. These data were systematically retrieved from health department websites to characterize COVID-19 cases and deaths in ALF residents and staff members. Limited ALF COVID-19 data were available for 39 states, although reporting varied. By October 15, 2020, among 28,623 ALFs, 6,440 (22%) had at least one COVID-19 case among residents or staff members. Among the states with available data, the proportion of COVID-19 cases that were fatal was 21.2% for ALF residents, 0.3% for ALF staff members, and 2.5% overall for the general population of these states. To prevent the introduction and spread of SARS-CoV-2, the virus that causes COVID-19, in their facilities, ALFs should 1) identify a point of contact at the local health department; 2) educate residents, families, and staff members about COVID-19; 3) have a plan for visitor and staff member restrictions; 4) encourage social (physical) distancing and the use of masks, as appropriate; 5) implement recommended infection prevention and control practices and provide access to supplies; 6) rapidly identify and properly respond to suspected or confirmed COVID-19 cases in residents and staff members; and 7) conduct surveillance of COVID-19 cases and deaths, facility staffing, and supply information (2).

BACKGROUND: In 1996, Turkey made tobacco control a health priority. The tobacco control effort was extended in July 2009 with the expansion of the smoke-free law to include all enclosed workplaces and public places and, in January 2010, with a 20% increase in the Special Consumption Tax on Tobacco. METHODS: Sales data were averaged, by month, for the period January 2005 through June 2009 to establish an 'expected' monthly sales pattern. This was the period when no new tobacco control measures were implemented. The overall monthly average was then calculated for the same period. The expected monthly sales pattern was then graphed against the overall monthly sales average to delineate a seasonal sales pattern that was used to evaluate the divergence of actual monthly sales from the 'expected' pattern. RESULTS: A distinct seasonal pattern was found with sales above average from May through August. Comparison of actual cigarette sales to the 'expected' monthly sales pattern following the implementation of the expanded smoke-free law in July resulted in a 5.2% decrease. Cigarettes sales decreased by 13.6% following the January 2010 Special Consumption Tax. Since the implementation of the expanded smoke-free law in July 2009 and the tax increase in January 2010, cigarette sales in Turkey decreased by 10.7%. CONCLUSION: The effect of recent Turkish tobacco control policies could contribute to a reduction in the number of premature deaths related to tobacco use. Evidence has shown that periodic tax increases and strong enforcement of all tobacco control policies are essential to further decrease tobacco consumption.