Dustin A. Gress

Introduction: In 2020, the American Association of Physicists in Medicine (AAPM) conducted a comprehensive imaging physics workforce survey (2020 Survey) to evaluate staffing needs, validate prior time and effort estimates, and explore workforce satisfaction. This report summarizes key findings, highlighting gaps between training and professional demands, challenges in recruitment, and shifts in workforce demographics and employment patterns. Methods: The 2020 Survey, administered by the American Institute of Physics (AIP) Statistical Research Center (SRC) to AAPM and Health Physics Society members, had 953 responses from participants who were primarily diagnostic and nuclear medical physicists. The data were analyzed across four key areas: professional task workloads, workforce demographics and retirement outlook, lifestyle factors, and skill gaps. Results and Discussion: The AIP SRC analyzed the results of the 2020 Survey (results archived on the AAPM members‐only website). The 2020 Survey validated the relative time required for equipment performance evaluations and the wide range of Level 2 services performed by the imaging physics workforce relative to AAPM Report 301. The 2020 Survey showed that the imaging physics workforce is aging (30% of respondents providing their age stated they were 66 years or older) and that many of these individuals could retire within 5 years of completing the survey. Finally, the 2020 Survey demonstrated that there were gaps between the skills and knowledge employers look for when hiring compared to the same self‐identified qualities of the imaging physics workforce. Conclusions: The 2020 Survey provided insights into the imaging physics workforce that validated prior publications estimating imaging physics workforce activities. The 2020 Survey indicates the imaging physics workforce is aging, with a wave of retirements on the horizon, and that individuals entering the workforce may not possess the skills and knowledge desired by employers. The data from this survey can be used to guide analyses and address future trends of the imaging physics field and workforce.

Diagnostic reference levels and achievable doses as a function of patient age and size were developed for the 10 most common pediatric CT examinations performed in the United States using the Ameri... Background Diagnostic reference levels (DRLs) and achievable doses (ADs) were developed for the 10 most commonly performed pediatric CT examinations in the United States using the American College ...

Background: Although Pinterest has become a popular platform for distributing influential information that shapes users’ behaviors, the role of recipes pinned on Pinterest in these behaviors is not well understood. Objective: This study aims to explore the patterns of food ingredients and the nutritional content of recipes posted on Pinterest and to examine the factors associated with recipes that engage more users. Methods: Data were collected from Pinterest between June 28 and July 12, 2020 (207 recipes and 2818 comments). All samples were collected via 2 new user accounts with no search history. A codebook was developed with a raw agreement rate of 0.97 across all variables. Content analysis and natural language processing sentiment analysis techniques were employed. Results: Recipes using seafood or vegetables as the main ingredient had, on average, fewer calories and less sodium, sugar, and cholesterol than meat- or poultry-based recipes. For recipes using meat as the main ingredient, more than half of the energy was obtained from fat (277/490, 56.6%). Although the most followed pinners tended to post recipes containing more poultry or seafood and less meat, recipes with higher fat content or providing more calories per serving were more popular, having more shared photos or videos and comments. The natural language processing–based sentiment analysis suggested that Pinterest users weighted taste more heavily than complexity (225/2818, 8.0%) and health (84/2828, 2.9%). Conclusions: Although popular pinners tended to post recipes with more seafood or poultry or vegetables and less meat, recipes with higher fat and sugar content were more user-engaging, with more photo or video shares and comments. Data on Pinterest behaviors can inform the development and implementation of nutrition health interventions to promote healthy recipe sharing on social media platforms.

BACKGROUND Although Pinterest has become a popular platform for distributing influential information that shapes users’ behaviors, the role of recipes pinned on Pinterest in these behaviors is not well understood. OBJECTIVE This study aims to explore the patterns of food ingredients and the nutritional content of recipes posted on Pinterest and to examine the factors associated with recipes that engage more users. METHODS Data were collected from Pinterest between June 28 and July 12, 2020 (207 recipes and 2818 comments). All samples were collected via 2 new user accounts with no search history. A codebook was developed with a raw agreement rate of 0.97 across all variables. Content analysis and natural language processing sentiment analysis techniques were employed. RESULTS Recipes using seafood or vegetables as the main ingredient had, on average, fewer calories and less sodium, sugar, and cholesterol than meat- or poultry-based recipes. For recipes using meat as the main ingredient, more than half of the energy was obtained from fat (277/490, 56.6%). Although the most followed pinners tended to post recipes containing more poultry or seafood and less meat, recipes with higher fat content or providing more calories per serving were more popular, having more shared photos or videos and comments. The natural language processing–based sentiment analysis suggested that Pinterest users weighted taste more heavily than complexity (225/2818, 8.0%) and health (84/2828, 2.9%). CONCLUSIONS Although popular pinners tended to post recipes with more seafood or poultry or vegetables and less meat, recipes with higher fat and sugar content were more user-engaging, with more photo or video shares and comments. Data on Pinterest behaviors can inform the development and implementation of nutrition health interventions to promote healthy recipe sharing on social media platforms.