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Cancers of the breast in females Above Over 60 years- a Review of Verification and Treatments.
V.In this four-part work, the authors review the economic history of how radiologists are paid, from the fight for independent billing in the 1960s to the impact of advanced imaging technologies on radiologists' incomes in the 1980s to the "bubble years" of the 1990s and to the end of the bubble in the first decade of the 21 century. The authors begin in this first part with the connections among a radiologist from Arkansas, a congressman, and the passage of Medicare, the program that gave radiologists the right to bill independently and gave the federal government a big role in health care spending. INTRODUCTION Inequities in social determinants of health are plausible contributors to worse health of sexual minorities relative to heterosexuals. Sexual minorities may have higher rates of housing, food, and financial insecurity as adults owing to adverse childhood experiences or policies that induce social disadvantage. This study compares the prevalence of 3 types of social determinants of health among sexual minority and heterosexual adults. METHODS Data were from the Behavioral Risk Factor Surveillance System 2017 survey of U.S. states that administered the optional Social Determinants of Health module and Sexual Orientation and Gender Identity modules. In August 2019, authors estimated the odds of food, housing, and financial insecurity among sexual minority men and women, compared with heterosexuals. RESULTS Sexual minority women and men had higher odds of housing insecurity, housing instability, and food insecurity, but no differences were observed for perceived neighborhood safety. SB216763 Sexual minority women had higher odds of financial insecurity than their heterosexual peers. CONCLUSIONS Sexual minorities have more housing and food insecurity than heterosexuals, which may contribute to their risk for poorer health. Future research should address the causes and consequences of these differences. INTRODUCTION Susceptibility, or openness to smoking, is a predictor of future smoking. This study examines within-gender racial/ethnic differences in smoking susceptibility over historical time (1999-2018) and developmental age (11-18 years). METHODS Data were obtained from 205,056 adolescent never smokers in 14 waves of the National Youth Tobacco Survey. Weighted time-varying effect models were used to estimate nonlinear trends in smoking susceptibility among minority (versus white) adolescents. Analyses were conducted in 2019. RESULTS Compared with whites, Latino/a adolescents were consistently more susceptible to smoking, whereas black and Asian adolescents fluctuated between being less and equally susceptible over time. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander adolescents were more susceptible from 2014 to 2017, with differences being larger for girls. Susceptibility peaked at age 14 years. Compared with whites, Latino/a adolescents were more susceptible throughout adolescence. Black adolescents were more susceptible in early adolescence, whereas Asian adolescents were less or equally susceptible to smoking in early to mid-adolescence. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander girls were more susceptible in early and mid-adolescence, but boys were more susceptible in early adolescence only. American Indian, Alaska Native, Native Hawaiian, and Pacific Islander girls were less susceptible than white girls aged 18 years. CONCLUSIONS Twenty-year racial/ethnic differences in smoking susceptibility were evident, particularly among girls, but were mostly equivalent between genders over developmental age. Targeting susceptible adolescents with gender-, race/ethnic-, and age-tailored prevention efforts may prevent or delay adolescents' transition to tobacco use and reduce tobacco-related disparities. Published by Elsevier Inc.INTRODUCTION Fast food restaurants, including top burger chains, have reduced calorie content of some menu items in recent years. However, the extent to which the nutrition profile of restaurant menus is changing over time is unknown. METHODS Data from 2,472 food items on the menus of 14 top-earning burger fast food chain restaurants in the U.S., available from 2012 to 2016, were obtained from the MenuStat project and analyzed in 2019. Nutrition Profile Index scores were estimated and used to categorize foods as healthy (≥64 of 100). Generalized linear models examined mean scores and the proportion of healthy menu items among items offered in all years (2012-2016) and items offered in 2012 only compared with items newly introduced in subsequent years. RESULTS Overall, less then 20% of menu items were classified as healthy with no change from 2012 to 2016 (p=0.91). Mean Nutrition Profile Index score was relatively constant across the study period among all food items (≈50 points, p=0.58) and children's menu items (≈56 points, p=0.73). The only notable change in Nutrition Profile Index score or in proportion of healthy items was in the direction of menu items becoming less healthy. CONCLUSIONS At large chain burger restaurants, most items were unhealthy, and the overall nutrition profile of menus remained unchanged from 2012 to 2016. Future research should examine the nutrition profile of restaurant menus in a larger, more diverse sample of restaurants over a longer timeframe and examine whether results are robust when other measures of nutritional quality are used. INTRODUCTION This study (1) provides annual population estimates of fatal and nonfatal injury incidence rates for older adults for 2004-2017; (2) determines if trends differ by whether the injury was fatal or nonfatal, a fall or nonfall injury, and for nonfatal injuries, minor or serious; and (3) investigates whether trends vary by age, sex, and race. METHODS This study used National Vital Statistics System and National Health Interview Survey data covering the population of adults aged ≥65 years for 2004-2017. Fatal injury incidence rates were estimated using negative binomial models; nonfatal injury incidence rates were estimated using Poisson models. All models compared overall risk and trend differences by year, age, sex, and race, and interactions between year and age, sex, and race. All analyses were conducted in 2019. RESULTS Fatal injury incidence was stable over time, but this apparent stability masked a 35% increase in fatal falls and a 17% decrease in fatal nonfall injuries. Increases in fall-related deaths were concentrated among those aged ≥85 years, men, and white older adults.
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