Preventive medicine reports
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The aim of this study was to describe trends in calories among food items sold in U. S. convenience stores and pizza restaurant chains from 2013 to 2017 - a period leading up to the implementation of the federal menu labeling mandate. Using data from the MenuStat project, we conducted quantile regression analyses in 2018 to estimate the predicted median per-item calories among menu items available at convenience stores (n = 1522) and pizza restaurant chains (n = 2085) - two retailers that have been openly resistant to implementing menu labeling - and assessed whether core food items were reformulated during the study period. ⋯ We found that leading up to the national menu labeling implementation date, convenience stores showed a significant decreasing trend in median calories of overall menu items (390 kcals in 2013 vs. 334 kcals in 2017, p-value for trend <0.01) and among appetizers and sides (367 kcals in 2013 vs. 137 kcals in 2017, p-value for trend = 0.02). Pizza restaurants introduced lower-calorie pizza options in 2017, but no other significant changes in calories were observed. Going forward, it will be important to track calorie changes in convenience stores and pizza restaurant chains as both food establishments represent significant sources of calories for Americans.
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In an effort to increase use of preventive health care, The Patient Protection and Affordable Care Act (ACA) eliminated cost-sharing for preventive cancer screening services for the privately insured. The impact on patient spending and use of these screenings is still poorly understood. We used an interrupted time series analysis with the Massachusetts All-Payer Claims Database (2009-2012) to assess changes in trends in costs and use of breast, cervical and colorectal cancer screenings after the ACA policy. ⋯ We find no significant effect on utilization for cervical cancer or colon cancer screening. For breast cancer screening, we find a small immediate increase in the utilization rate in the month after the policy change, with no change in trend after the ACA policy. Policy makers may need to consider other complementary policy options to increase screening rates.
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In 2009, the U. S. Food and Drug Administration banned the sale of flavored cigarettes (excluding menthol) in the U. ⋯ Among e-cigarette users, the prevalence of use of FE was significantly higher for 18-24 year-old than 45+ year-old adults; women than men; Southern than Northeastern residents; and never smokers of regular cigarettes than current smokers of regular cigarettes (all adjusted p's < 0.05). Among hookah tobacco users, the rates of FHT use were significantly higher for women than men, and never smokers of regular cigarettes than current smokers (all adjusted p's < 0.05). Because availability and accessibility of flavored tobacco products may promote tobacco use, revising regulatory guidelines concerning manufacturing and distribution of FE and FHT may help reduce the popularity of emerging tobacco products.
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There are known health disparities between lesbian, gay, bisexual and transgender (LGBT) people and non-LGBT people, but only in the past couple of decades have population-based health surveys in the United States included questions on sexual and gender identity. We aimed to better understand LGBT disparities in health, health care access and utilization, and quality of care. Data are from the Survey of the Health of Wisconsin (SHOW) from 2014 to 2016 (n = 1957). ⋯ LGB adults were 2.17 (95th CI: 1.07-4.4) times more likely to delay obtaining health care. Transgender adults were 2.76 (95th CI: 1.64-4.65) times more likely to report poor quality of care and 2.78 (95th CI: 1.10-7.10) unfair treatment when receiving medical care. The results show differences in health care access and utilization and quality of care, and they add to the growing body of literature that suggest that improved health care services for LGBT patients are needed to promote health equity for LGBT populations.
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US Public Health Service guidelines recommend that healthcare providers assess patients for tobacco use and refer tobacco users to cessation services (e.g., quitlines). However, once referred, little is known on how program outcomes for referred tobacco users vary across healthcare settings. To examine differences in program enrollment, dropout at follow-up, utilization (number of coaching sessions and nicotine replacement therapy use), and quit outcomes among tobacco users referred across settings to a state quitline. ⋯ Compared to medical practices, clients referred from behavioral health were less likely to enroll in services (OR = 0.81, 95%CI: 0.76, 0.87), less likely to report using NRT in-program (OR = 0.51, 95%CI: 0.42, 0.62), and along with clients referred from FQHCs (OR = 0.78, 95%CI: 0.64, 0.94) were less likely to be quit at follow-up (OR = 0.73, 95%CI: 0.59, 0.92). Clients referred from acute care hospitals were less likely to enroll in services (OR = 0.60, 95%CI: 0.56, 0.64) and were more likely to drop-out of cessation services (OR = 1.12; 95%CI: 1.00-1.26). Findings reflect the need for better tailoring of messages for tobacco assessment within specific healthcare settings while bolstering behavioral counseling that quitlines provide to increase enrollment, engagement, and retention in tobacco cessation services.