Pub Date : 2025-07-02DOI: 10.1016/j.focus.2025.100386
Yeunkyung Kim PhD , Jihye Kim PhD , Sungchul Park PhD , Colleen Heflin PhD , Hyunjee Kim PhD , Yue Li PhD
Introduction
Despite the importance of food insecurity, there remains limited data on recent trends in disparities between individuals with and without food insecurity in the receipt of breast cancer screening. The authors examined national trends in breast cancer screening rates between female Medicare beneficiaries with and without food insecurity as well as determined whether access to breast cancer screening was disrupted by the COVID-19 pandemic.
Methods
The authors performed repeated cross-sectional analyses on 2018–2021 data of Medicare Current Beneficiary Survey Public Use Files. Study sample included 4,459 (in 2018); 4,565 (in 2019); 4,334 (in 2020); and 3,966 (in 2021) noninstitutionalized female Medicare beneficiaries. After applying survey weights, this corresponds to 119,746,358 total beneficiary-years over the 2018–2021 period. The authors fitted a logistic regression model to assess the differences in the receipt of breast cancer screening between female Medicare beneficiaries with and without food insecurity over time.
Results
The rate of breast cancer screening between female beneficiaries with and without food insecurity was not statistically different from 2018 to 2020. However, in 2021, female beneficiaries with food insecurity had a rate that was 8.1 percentage points (95% CI= −15.2, −1.0) lower than that of female beneficiaries without food insecurity.
Conclusions
These findings suggest the importance for identifying female Medicare beneficiaries who are at increased risk of food insecurity and missed breast cancer screening in clinical settings during and after the COVID-19 pandemic.
{"title":"Trends in Breast Cancer Screening Between Medicare Beneficiaries With and Without Food Insecurity","authors":"Yeunkyung Kim PhD , Jihye Kim PhD , Sungchul Park PhD , Colleen Heflin PhD , Hyunjee Kim PhD , Yue Li PhD","doi":"10.1016/j.focus.2025.100386","DOIUrl":"10.1016/j.focus.2025.100386","url":null,"abstract":"<div><h3>Introduction</h3><div>Despite the importance of food insecurity, there remains limited data on recent trends in disparities between individuals with and without food insecurity in the receipt of breast cancer screening. The authors examined national trends in breast cancer screening rates between female Medicare beneficiaries with and without food insecurity as well as determined whether access to breast cancer screening was disrupted by the COVID-19 pandemic.</div></div><div><h3>Methods</h3><div>The authors performed repeated cross-sectional analyses on 2018–2021 data of Medicare Current Beneficiary Survey Public Use Files. Study sample included 4,459 (in 2018); 4,565 (in 2019); 4,334 (in 2020); and 3,966 (in 2021) noninstitutionalized female Medicare beneficiaries. After applying survey weights, this corresponds to 119,746,358 total beneficiary-years over the 2018–2021 period. The authors fitted a logistic regression model to assess the differences in the receipt of breast cancer screening between female Medicare beneficiaries with and without food insecurity over time.</div></div><div><h3>Results</h3><div>The rate of breast cancer screening between female beneficiaries with and without food insecurity was not statistically different from 2018 to 2020. However, in 2021, female beneficiaries with food insecurity had a rate that was 8.1 percentage points (95% CI= −15.2, −1.0) lower than that of female beneficiaries without food insecurity.</div></div><div><h3>Conclusions</h3><div>These findings suggest the importance for identifying female Medicare beneficiaries who are at increased risk of food insecurity and missed breast cancer screening in clinical settings during and after the COVID-19 pandemic.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100386"},"PeriodicalIF":0.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-02DOI: 10.1016/j.focus.2025.100391
Tyler J. Dunn PhD , Erin Holmes PhD , Yi Yang PhD , John P. Bentley PhD , Saim Kashmiri PhD , Sujith Ramachandran PhD
Introduction
U.S. cannabis policies have a history of racial disparities, highlighting the need for research surrounding racial inequities, particularly within the context of medicalization of cannabis and opioid prescribing. This study evaluated racial disparities in the relationship between state-level medical cannabis policy implementation and changes in opioid-prescribing patterns among Medicare beneficiaries.
Methods
Utilizing Medicare claims data from 2012 to 2015, beneficiaries aged ≥65 years were categorized into 3 state categories: Medical marijuana law implementation states, existing medical marijuana law states, and nonmedical marijuana law states. A difference-in-difference analysis was used to determine whether race moderated the relationship between medical cannabis policy implementation and opioid doses filled before and after policy implementation.
Results
A total of 449,336 Medicare beneficiaries were included in the study, comprising 387,713 White individuals (86.3%) and 61,623 racial minority individuals (13.7%). Nearly half of all (49.3%) beneficiaries received at least 1 opioid prescription. White individuals were significantly more likely to receive at least 1 opioid prescription than racial minorities (49.7% vs 46.8%, p<0.001). Morphine milligram equivalent per patient per month significantly increased for both White and racial minority individuals in all state categories, except for racial minority individuals in the medical marijuana law states. There were no significant differences in opioid-prescribing changes between White and racial minority individuals between state categories.
Conclusions
The study found no clear indication of racial disparities in the impact of medical cannabis policies on opioid prescribing. Future research should focus on access to medical cannabis and prescriber attitudes toward treating racial minority patients experiencing pain with cannabis.
IntroductionU.S。大麻政策有种族不平等的历史,突出表明需要围绕种族不平等进行研究,特别是在大麻医学化和阿片类药物处方的背景下。本研究评估了州一级医用大麻政策实施与医疗保险受益人阿片类药物处方模式变化之间关系的种族差异。方法利用2012 - 2015年医疗保险索赔数据,将年龄≥65岁的受益人分为医用大麻法律实施州、现有医用大麻法律实施州和非医用大麻法律实施州3大类。采用差异中差异分析来确定种族是否调节了医疗大麻政策实施前后阿片类药物剂量之间的关系。结果共纳入449,336名医疗保险受益人,其中白人387,713人(86.3%),少数族裔61,623人(13.7%)。近一半(49.3%)受益人至少获得了1份阿片类药物处方。白人比少数族裔更有可能接受至少1份阿片类药物处方(49.7% vs 46.8%, p < 0.001)。除了医用大麻合法化州的少数种族个体外,所有州的白人和少数种族个体每月每个患者吗啡毫克当量都显著增加。在各州类别中,白人和少数种族个体的阿片类药物处方变化无显著差异。研究发现,在医用大麻政策对阿片类药物处方的影响方面,没有明显的种族差异迹象。未来的研究应侧重于医用大麻的可及性和处方医师对治疗因大麻而疼痛的少数种族患者的态度。
{"title":"State Medical Cannabis Policy Implementation and Racial Disparities in Opioid Prescribing Among Medicare Beneficiaries: A Policy Impact Analysis","authors":"Tyler J. Dunn PhD , Erin Holmes PhD , Yi Yang PhD , John P. Bentley PhD , Saim Kashmiri PhD , Sujith Ramachandran PhD","doi":"10.1016/j.focus.2025.100391","DOIUrl":"10.1016/j.focus.2025.100391","url":null,"abstract":"<div><h3>Introduction</h3><div>U.S. cannabis policies have a history of racial disparities, highlighting the need for research surrounding racial inequities, particularly within the context of medicalization of cannabis and opioid prescribing. This study evaluated racial disparities in the relationship between state-level medical cannabis policy implementation and changes in opioid-prescribing patterns among Medicare beneficiaries.</div></div><div><h3>Methods</h3><div>Utilizing Medicare claims data from 2012 to 2015, beneficiaries aged ≥65 years were categorized into 3 state categories: Medical marijuana law implementation states, existing medical marijuana law states, and nonmedical marijuana law states. A difference-in-difference analysis was used to determine whether race moderated the relationship between medical cannabis policy implementation and opioid doses filled before and after policy implementation.</div></div><div><h3>Results</h3><div>A total of 449,336 Medicare beneficiaries were included in the study, comprising 387,713 White individuals (86.3%) and 61,623 racial minority individuals (13.7%). Nearly half of all (49.3%) beneficiaries received at least 1 opioid prescription. White individuals were significantly more likely to receive at least 1 opioid prescription than racial minorities (49.7% vs 46.8%, <em>p</em><0.001). Morphine milligram equivalent per patient per month significantly increased for both White and racial minority individuals in all state categories, except for racial minority individuals in the medical marijuana law states. There were no significant differences in opioid-prescribing changes between White and racial minority individuals between state categories.</div></div><div><h3>Conclusions</h3><div>The study found no clear indication of racial disparities in the impact of medical cannabis policies on opioid prescribing. Future research should focus on access to medical cannabis and prescriber attitudes toward treating racial minority patients experiencing pain with cannabis.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100391"},"PeriodicalIF":0.0,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-07-01DOI: 10.1016/j.focus.2025.100392
Allison A. Temourian PhD , Pamela M. Ling MD, MPH , Vuong V. Do PhD , Nhung Nguyen PhD
Introduction
Limited research on youth tobacco use addresses cannabis use across different tobacco products and racial/ethnic subgroups. This study examines these patterns of cannabis use among youth who use tobacco using 6 waves of nationally representative data.
Methods
This study analyzed the Population Assessment of Tobacco and Health Study data Waves 1–6 (during 2013–2021) in 2024. The authors conducted cross-sectional weighted analyses for each wave. The authors estimated past 30-day use of cannabis among youth who reported past 30-day use of any tobacco, combustible tobacco, and e-cigarette for the total sample and for each racial and ethnic group (Hispanic, non-Hispanic White, non-Hispanic Black, and non-Hispanic other).
Results
Across 6 waves, cannabis-use prevalence was over 36% among youth who used any tobacco product, over 40% among those who used combustible tobacco, and 36% among those who used e-cigarettes. There were racial/ethnic disparities in cannabis use among youth who used e-cigarettes, with non-Hispanic Black, non-Hispanic other, and Hispanic youth reporting the highest cannabis-use prevalence. There were no significant racial/ethnic differences in cannabis use among youth who used combustible tobacco.
Conclusions
Cannabis use is highly prevalent among youth who use tobacco, with significant disparities by tobacco product and race/ethnicity. The disproportionately high prevalence of cannabis use among non-White youth highlights the need for tailored interventions to address these disparities in cannabis and tobacco use among youth.
{"title":"Racial and Ethnic Disparities in Cannabis Use Among U.S. Youth Who Use Tobacco: Findings From the Population Assessment of Tobacco and Health Study","authors":"Allison A. Temourian PhD , Pamela M. Ling MD, MPH , Vuong V. Do PhD , Nhung Nguyen PhD","doi":"10.1016/j.focus.2025.100392","DOIUrl":"10.1016/j.focus.2025.100392","url":null,"abstract":"<div><h3>Introduction</h3><div>Limited research on youth tobacco use addresses cannabis use across different tobacco products and racial/ethnic subgroups. This study examines these patterns of cannabis use among youth who use tobacco using 6 waves of nationally representative data.</div></div><div><h3>Methods</h3><div>This study analyzed the Population Assessment of Tobacco and Health Study data Waves 1–6 (during 2013–2021) in 2024. The authors conducted cross-sectional weighted analyses for each wave. The authors estimated past 30-day use of cannabis among youth who reported past 30-day use of any tobacco, combustible tobacco, and e-cigarette for the total sample and for each racial and ethnic group (Hispanic, non-Hispanic White, non-Hispanic Black, and non-Hispanic other).</div></div><div><h3>Results</h3><div>Across 6 waves, cannabis-use prevalence was over 36% among youth who used any tobacco product, over 40% among those who used combustible tobacco, and 36% among those who used e-cigarettes. There were racial/ethnic disparities in cannabis use among youth who used e-cigarettes, with non-Hispanic Black, non-Hispanic other, and Hispanic youth reporting the highest cannabis-use prevalence. There were no significant racial/ethnic differences in cannabis use among youth who used combustible tobacco.</div></div><div><h3>Conclusions</h3><div>Cannabis use is highly prevalent among youth who use tobacco, with significant disparities by tobacco product and race/ethnicity. The disproportionately high prevalence of cannabis use among non-White youth highlights the need for tailored interventions to address these disparities in cannabis and tobacco use among youth.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100392"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010215","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-30DOI: 10.1016/j.focus.2025.100388
Tzeyu L. Michaud PhD , Paul A. Estabrooks PhD , Hongying Daisy Dai PhD , Keyonna M. King Dr.PH , John W. Ewing Jr. MS , Kayode T. Olabanji Bpharm, MSc , Su-Hsin Chang PhD, MS , Jungyoon Kim PhD
Introduction
To improve colorectal cancer screening uptake among African Americans, the authors collaborated with a public service agency (i.e., Douglas County Treasurers’ Office) and other community and healthcare partners to implement a multicomponent fecal immunochemical test intervention. The objectives of this study are to (1) determine the costs and cost-effectiveness of the community-based fecal immunochemical test intervention between the 2 different types of provision strategies: on-site distribution of fecal immunochemical test versus mailing of fecal immunochemical test upon request; and (2) estimate the budgetary impact if this program is sustained by community organizations or the local health department.
Methods
Using data from a community colorectal cancer screening outreach trial collected between January 3, 2022, and April 4, 2022, the authors conducted a cost-effectiveness analysis and a budget impact analysis of a multicomponent colorectal cancer screening program. Cost-effectiveness analysis was evaluated using 2 measures: an average implementation cost-effectiveness ratio using the effect and cost data of the overall colorectal cancer screening program and an incremental cost-effectiveness ratio when comparing the on-site distribution with mailing of fecal immunochemical test upon request. For the budget impact analysis, the authors used the process map developed for the outreach program workflow to guide the budget impact estimate of the on-site distribution. The authors further conducted a sensitivity analysis to estimate 1-year replication costs of the on-site distribution strategy.
Results
The overall community outreach program for colorectal cancer screening totaled $14,541, with labor costs of $12,757 and nonlabor costs of $1,784 for the 3-month period. Individually, total costs for on-site distribution (n=110) and mailing of fecal immunochemical test upon request (n=99) strategies were estimated at $8,629 and $5,912, respectively. The overall average implementation cost-effectiveness ratios were $70 per person enrolled, $246 per participant screened, and $969 per completed participant who tested positive. The incremental cost-effectiveness ratio was $129 for an additional percentage-point increase in colorectal cancer screening rates and $109 per additional person who completed the screening. The total replication cost of the on-site distribution of fecal immunochemical test kits was estimated at $7,329 over a 1-year budget cycle.
Conclusions
The on-site fecal immunochemical testing kit distribution is an effective, practical, relatively low-cost community outreach strategy to improve colorectal cancer screening rates among African American communities. Future studies should explore resources for sustainability and uptake in different settings.
{"title":"Cost-Effectiveness Analysis of Implementing a Multisectoral Program for Colorectal Cancer Screening in an African American Community","authors":"Tzeyu L. Michaud PhD , Paul A. Estabrooks PhD , Hongying Daisy Dai PhD , Keyonna M. King Dr.PH , John W. Ewing Jr. MS , Kayode T. Olabanji Bpharm, MSc , Su-Hsin Chang PhD, MS , Jungyoon Kim PhD","doi":"10.1016/j.focus.2025.100388","DOIUrl":"10.1016/j.focus.2025.100388","url":null,"abstract":"<div><h3>Introduction</h3><div>To improve colorectal cancer screening uptake among African Americans, the authors collaborated with a public service agency (i.e., Douglas County Treasurers’ Office) and other community and healthcare partners to implement a multicomponent fecal immunochemical test intervention. The objectives of this study are to (1) determine the costs and cost-effectiveness of the community-based fecal immunochemical test intervention between the 2 different types of provision strategies: on-site distribution of fecal immunochemical test versus mailing of fecal immunochemical test upon request; and (2) estimate the budgetary impact if this program is sustained by community organizations or the local health department.</div></div><div><h3>Methods</h3><div>Using data from a community colorectal cancer screening outreach trial collected between January 3, 2022, and April 4, 2022, the authors conducted a cost-effectiveness analysis and a budget impact analysis of a multicomponent colorectal cancer screening program. Cost-effectiveness analysis was evaluated using 2 measures: an average implementation cost-effectiveness ratio using the effect and cost data of the overall colorectal cancer screening program and an incremental cost-effectiveness ratio when comparing the on-site distribution with mailing of fecal immunochemical test upon request. For the budget impact analysis, the authors used the process map developed for the outreach program workflow to guide the budget impact estimate of the on-site distribution. The authors further conducted a sensitivity analysis to estimate 1-year replication costs of the on-site distribution strategy.</div></div><div><h3>Results</h3><div>The overall community outreach program for colorectal cancer screening totaled $14,541, with labor costs of $12,757 and nonlabor costs of $1,784 for the 3-month period. Individually, total costs for on-site distribution (<em>n</em>=110) and mailing of fecal immunochemical test upon request (<em>n</em>=99) strategies were estimated at $8,629 and $5,912, respectively. The overall average implementation cost-effectiveness ratios were $70 per person enrolled, $246 per participant screened, and $969 per completed participant who tested positive. The incremental cost-effectiveness ratio was $129 for an additional percentage-point increase in colorectal cancer screening rates and $109 per additional person who completed the screening. The total replication cost of the on-site distribution of fecal immunochemical test kits was estimated at $7,329 over a 1-year budget cycle.</div></div><div><h3>Conclusions</h3><div>The on-site fecal immunochemical testing kit distribution is an effective, practical, relatively low-cost community outreach strategy to improve colorectal cancer screening rates among African American communities. Future studies should explore resources for sustainability and uptake in different settings.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 6","pages":"Article 100388"},"PeriodicalIF":0.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-30DOI: 10.1016/j.focus.2025.100389
Casey Scott Husser MD
{"title":"Disinformation From Within and Brandolini’s Law: A Call to Time-Consuming Action","authors":"Casey Scott Husser MD","doi":"10.1016/j.focus.2025.100389","DOIUrl":"10.1016/j.focus.2025.100389","url":null,"abstract":"","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 6","pages":"Article 100389"},"PeriodicalIF":0.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-28DOI: 10.1016/j.focus.2025.100390
Hannah M. Layman PhD , Christa L. Lilly PhD , Geri A. Dino PhD , Traci D. Jarrett PhD , Carrie W. Rishel PhD , Alfgeir L. Kristjansson PhD
Introduction
During the pandemic, adolescents spent significantly more time at home with their families than during nonpandemic eras. This change could be beneficial because time spent with family has been linked to positive health outcomes; however, given the stress and strains accompanied by COVID-19, research has yet to assess the potential effect that increased family time may have had on youth substance use onset and development during this strenuous period.
Methods
School-based survey data from 2,322 students in the Young Mountaineer Health Study were collected during the fall of 2020 (Wave 1), spring of 2021 (Wave 2), and fall of 2021 (Wave3) and were used to create logistic regression models to identify variables at Wave 1 that related to 3 types of substance use onset in the sample at Wave 2 and Wave 3. The study’s primary independent variable was COVID-19–related emotional impact (scale range: 5–25).
Results
Average age of participants at Wave 1 was 11.50 years (males=42.9%). COVID-19–related emotional impact was positively associated with an increase in cigarette (AOR=1.06, p=0.008) and E-cigarette use onset (AOR=1.06, p<0.001). Parental monitoring (AOR=0.89, p=0.013) and parental social support (AOR=0.93, p=0.026) were associated with a decreased initiation of cigarette use, respectively.
Conclusions
The authors found that higher levels of COVID-19–related emotional impact were predictive of increased cigarette and E-cigarette onset but were only marginally related to alcohol use onset. The authors also identified that increased parental monitoring and parental social support might decrease the onset risks for cigarette and alcohol use among early adolescents.
{"title":"COVID-19 Pandemic, Parental Protective Factors, and Substance Use Onset Among Early Adolescents in Appalachia","authors":"Hannah M. Layman PhD , Christa L. Lilly PhD , Geri A. Dino PhD , Traci D. Jarrett PhD , Carrie W. Rishel PhD , Alfgeir L. Kristjansson PhD","doi":"10.1016/j.focus.2025.100390","DOIUrl":"10.1016/j.focus.2025.100390","url":null,"abstract":"<div><h3>Introduction</h3><div>During the pandemic, adolescents spent significantly more time at home with their families than during nonpandemic eras. This change could be beneficial because time spent with family has been linked to positive health outcomes; however, given the stress and strains accompanied by COVID-19, research has yet to assess the potential effect that increased family time may have had on youth substance use onset and development during this strenuous period.</div></div><div><h3>Methods</h3><div>School-based survey data from 2,322 students in the Young Mountaineer Health Study were collected during the fall of 2020 (Wave 1), spring of 2021 (Wave 2), and fall of 2021 (Wave3) and were used to create logistic regression models to identify variables at Wave 1 that related to 3 types of substance use onset in the sample at Wave 2 and Wave 3. The study’s primary independent variable was COVID-19–related emotional impact (scale range: 5–25).</div></div><div><h3>Results</h3><div>Average age of participants at Wave 1 was 11.50 years (males=42.9%). COVID-19–related emotional impact was positively associated with an increase in cigarette (AOR=1.06, <em>p</em>=0.008) and E-cigarette use onset (AOR=1.06, <em>p</em><0.001). Parental monitoring (AOR=0.89, <em>p</em>=0.013) and parental social support (AOR=0.93, <em>p</em>=0.026) were associated with a decreased initiation of cigarette use, respectively.</div></div><div><h3>Conclusions</h3><div>The authors found that higher levels of COVID-19–related emotional impact were predictive of increased cigarette and E-cigarette onset but were only marginally related to alcohol use onset. The authors also identified that increased parental monitoring and parental social support might decrease the onset risks for cigarette and alcohol use among early adolescents.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100390"},"PeriodicalIF":0.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144988138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-28DOI: 10.1016/j.focus.2025.100385
Anna M. Morenz MD, MPH , Gloria D. Coronado PhD , Lingmei Zhou MS , Celia Valenzuela MD , Joshua M. Liao MD, MSc
Introduction
Socioeconomic inequities in breast and cervical cancer screening persist and may be driven by unmet social needs, such as transportation barriers. The association between transportation barriers and screening adherence, while adjusting for other social needs, remains poorly characterized.
Methods
A cross-sectional analysis of 2023 National Health Interview Survey data was conducted from October to December 2024. Multivariable logistic regression was used to assess associations between transportation barriers and breast and cervical cancer screening adherence.
Results
A total of 5,851 (survey-weighted 42.3 million) and 8,461 (survey-weighted 78.6 million) individuals were eligible for breast and cervical cancer screening, respectively. In adjusted analyses, transportation barriers were associated with lower likelihood of breast cancer screening (AOR=0.6; 95% CI=0.5, 0.9) but no difference in the likelihood of cervical cancer screening (AOR=0.9; 95% CI=0.7, 1.1). Low income, lack of health insurance, and low levels of formal education were also associated with lower adherence for both breast and cervical cancer screening.
Conclusion
After accounting for other social needs, transportation barriers are associated with lower likelihood of breast cancer screening—an inequity that may benefit from public health and healthcare interventions. Additional work is needed to understand the relationship between SES and cervical cancer screening adherence to inform future interventions.
{"title":"Associations Between Transportation Barriers in the Context of Other Social Needs and Cancer Screening Adherence","authors":"Anna M. Morenz MD, MPH , Gloria D. Coronado PhD , Lingmei Zhou MS , Celia Valenzuela MD , Joshua M. Liao MD, MSc","doi":"10.1016/j.focus.2025.100385","DOIUrl":"10.1016/j.focus.2025.100385","url":null,"abstract":"<div><h3>Introduction</h3><div>Socioeconomic inequities in breast and cervical cancer screening persist and may be driven by unmet social needs, such as transportation barriers. The association between transportation barriers and screening adherence, while adjusting for other social needs, remains poorly characterized.</div></div><div><h3>Methods</h3><div>A cross-sectional analysis of 2023 National Health Interview Survey data was conducted from October to December 2024. Multivariable logistic regression was used to assess associations between transportation barriers and breast and cervical cancer screening adherence.</div></div><div><h3>Results</h3><div>A total of 5,851 (survey-weighted 42.3 million) and 8,461 (survey-weighted 78.6 million) individuals were eligible for breast and cervical cancer screening, respectively. In adjusted analyses, transportation barriers were associated with lower likelihood of breast cancer screening (AOR=0.6; 95% CI=0.5, 0.9) but no difference in the likelihood of cervical cancer screening (AOR=0.9; 95% CI=0.7, 1.1). Low income, lack of health insurance, and low levels of formal education were also associated with lower adherence for both breast and cervical cancer screening.</div></div><div><h3>Conclusion</h3><div>After accounting for other social needs, transportation barriers are associated with lower likelihood of breast cancer screening—an inequity that may benefit from public health and healthcare interventions. Additional work is needed to understand the relationship between SES and cervical cancer screening adherence to inform future interventions.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100385"},"PeriodicalIF":0.0,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-26DOI: 10.1016/j.focus.2025.100382
Lisa P. Hofmann MPH , Yin Wang PhD , Melissa Fuster PhD , Charles Stoecker PhD , Elizabeth Gollub PhD , Megan Knapp PhD
Introduction
Childhood obesity and related health consequences are associated with sugar-sweetened beverage consumption and present significant health challenges in the U.S., particularly among minoritized and low-income populations. Louisiana, with some of the highest obesity and cardiometabolic disease rates in the U.S., exemplifies these concerns. Dining out increases sugar-sweetened beverage intake and underscores the need for interventions.
Methods
This observational study examines the proportion of restaurants offering beverages with children’s meals on printed and QR code menus, the types of beverages they offer, and correlates of offering these beverages across 287 restaurants in New Orleans, Louisiana, before its healthy default beverage policy was implemented and in Baton Rouge, Louisiana, which does not have a healthy default beverage policy. On-site environmental assessments were conducted in restaurants offering children’s menus.
Results
Only 14.6% of restaurants with children’s meals offered only healthy default beverage options, 39.4% offered sugar-sweetened beverages, and 46% did not specify children’s beverages on their menus. Logistic regression analysis indicated that restaurants categorized as fast food, affiliated with a chain, or offering children's meals with age restrictions were significantly more likely to include beverages in their children's meals. Furthermore, chain and fast-food restaurants were more likely than fast-casual restaurants to include only healthy default beverages on the children’s menus.
Conclusions
Ultimately, this research contributes to the broader discourse on improving nutritional environments in restaurant settings and underscores the need for evidence-based interventions to mitigate the impact of sugar-sweetened beverage consumption on childhood obesity and health outcomes. The findings provide a foundation for future studies evaluating the effectiveness of healthy default beverage policies.
{"title":"Assessment of Restaurant Beverage Offerings on Children’s Menus in New Orleans and Baton Rouge, Louisiana","authors":"Lisa P. Hofmann MPH , Yin Wang PhD , Melissa Fuster PhD , Charles Stoecker PhD , Elizabeth Gollub PhD , Megan Knapp PhD","doi":"10.1016/j.focus.2025.100382","DOIUrl":"10.1016/j.focus.2025.100382","url":null,"abstract":"<div><h3>Introduction</h3><div>Childhood obesity and related health consequences are associated with sugar-sweetened beverage consumption and present significant health challenges in the U.S., particularly among minoritized and low-income populations. Louisiana, with some of the highest obesity and cardiometabolic disease rates in the U.S., exemplifies these concerns. Dining out increases sugar-sweetened beverage intake and underscores the need for interventions.</div></div><div><h3>Methods</h3><div>This observational study examines the proportion of restaurants offering beverages with children’s meals on printed and QR code menus, the types of beverages they offer, and correlates of offering these beverages across 287 restaurants in New Orleans, Louisiana, before its healthy default beverage policy was implemented and in Baton Rouge, Louisiana, which does not have a healthy default beverage policy. On-site environmental assessments were conducted in restaurants offering children’s menus.</div></div><div><h3>Results</h3><div>Only 14.6% of restaurants with children’s meals offered only healthy default beverage options, 39.4% offered sugar-sweetened beverages, and 46% did not specify children’s beverages on their menus. Logistic regression analysis indicated that restaurants categorized as fast food, affiliated with a chain, or offering children's meals with age restrictions were significantly more likely to include beverages in their children's meals. Furthermore, chain and fast-food restaurants were more likely than fast-casual restaurants to include only healthy default beverages on the children’s menus.</div></div><div><h3>Conclusions</h3><div>Ultimately, this research contributes to the broader discourse on improving nutritional environments in restaurant settings and underscores the need for evidence-based interventions to mitigate the impact of sugar-sweetened beverage consumption on childhood obesity and health outcomes. The findings provide a foundation for future studies evaluating the effectiveness of healthy default beverage policies.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100382"},"PeriodicalIF":0.0,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144828744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-25DOI: 10.1016/j.focus.2025.100383
Tawny Saleh MD, MS , Lillian Gelberg MD, MSPH, FAAFP , Melissa Y. Chinchilla PhD, MCP, MSHPM , Jennifer E. Allen ANP-BC, MSN , Kristen L. Connor MSPH , Lisa Altman MD , Peter Capone-Newton MD, PhD, MPH
Introduction
Whole Health programs aim to integrate mental, physical, and social health to improve veteran well-being. Homeless-experienced veterans may face barriers to engagement owing to housing instability and comorbidities. This study evaluated Whole Health participation among homeless-experienced veterans at the VA Greater Los Angeles Care, Treatment, and Rehabilitation Service site compared with that among the broader VA Greater Los Angeles Healthcare System veteran population.
Methods
A retrospective quality improvement study analyzed Whole Health participation among 619 homeless-experienced veterans at Care, Treatment, and Rehabilitation Service; 25,520 Whole Health participants at VA Greater Los Angeles Healthcare System; and 84,358 total VA Greater Los Angeles Healthcare System veterans. Chi-square and t-tests assessed demographic and health differences. Thematic analysis of personal health inventory reflections explored wellness priorities.
Results
Whole Health participation was higher among Care, Treatment, and Rehabilitation Service homeless-experienced veterans (42%) than among the broader VA Greater Los Angeles Healthcare System Whole Health population (22%) (p<0.001). Whole Health participants at Care, Treatment, and Rehabilitation Service were older (56.8±13.4 vs 53.8±13.7 years; p=0.006), with different age group distribution (p=0.02). Chronic pain, post-traumatic stress disorder, depression, and substance use were more prevalent among homeless-experienced veterans than among the general veteran population (p<0.001). Early Whole Health engagement was associated with longer shelter stays. Personal health inventory themes included personal development (88%), housing (68%), and family/social connection (56%).
Conclusions
Whole Health programs may be effective and acceptable among homeless-experienced veterans when integrated into supportive housing environments.
{"title":"Evaluating Whole Health Engagement Among Homeless-Experienced Veterans in an Emergency Shelter: A Quality Improvement Study","authors":"Tawny Saleh MD, MS , Lillian Gelberg MD, MSPH, FAAFP , Melissa Y. Chinchilla PhD, MCP, MSHPM , Jennifer E. Allen ANP-BC, MSN , Kristen L. Connor MSPH , Lisa Altman MD , Peter Capone-Newton MD, PhD, MPH","doi":"10.1016/j.focus.2025.100383","DOIUrl":"10.1016/j.focus.2025.100383","url":null,"abstract":"<div><h3>Introduction</h3><div>Whole Health programs aim to integrate mental, physical, and social health to improve veteran well-being. Homeless-experienced veterans may face barriers to engagement owing to housing instability and comorbidities. This study evaluated Whole Health participation among homeless-experienced veterans at the VA Greater Los Angeles Care, Treatment, and Rehabilitation Service site compared with that among the broader VA Greater Los Angeles Healthcare System veteran population.</div></div><div><h3>Methods</h3><div>A retrospective quality improvement study analyzed Whole Health participation among 619 homeless-experienced veterans at Care, Treatment, and Rehabilitation Service; 25,520 Whole Health participants at VA Greater Los Angeles Healthcare System; and 84,358 total VA Greater Los Angeles Healthcare System veterans. Chi-square and <em>t</em>-tests assessed demographic and health differences. Thematic analysis of personal health inventory reflections explored wellness priorities.</div></div><div><h3>Results</h3><div>Whole Health participation was higher among Care, Treatment, and Rehabilitation Service homeless-experienced veterans (42%) than among the broader VA Greater Los Angeles Healthcare System Whole Health population (22%) (<em>p</em><0.001). Whole Health participants at Care, Treatment, and Rehabilitation Service were older (56.8±13.4 vs 53.8±13.7 years; <em>p</em>=0.006), with different age group distribution (<em>p</em>=0.02). Chronic pain, post-traumatic stress disorder, depression, and substance use were more prevalent among homeless-experienced veterans than among the general veteran population (<em>p</em><0.001). Early Whole Health engagement was associated with longer shelter stays. Personal health inventory themes included personal development (88%), housing (68%), and family/social connection (56%).</div></div><div><h3>Conclusions</h3><div>Whole Health programs may be effective and acceptable among homeless-experienced veterans when integrated into supportive housing environments.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100383"},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144750719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-25DOI: 10.1016/j.focus.2025.100381
Darcy M. Van Deventer BS , Margo A. Sidell SCD , Catherine Lee PhD , Deborah R. Young PhD , Monique M. Hedderson PhD , Deborah A. Cohen MD, MPH , Emily F. Liu MPH , Lee J. Barton MS , Galina Inzhakova MPH , Bing Han PhD
Introduction
There are important and understudied health differences among subgroups of Asian Americans. The authors examined differences in BMI percentile and body weight status among Asian American youth.
Methods
The authors conducted a retrospective cohort study using electronic health records in 2011–2020 from 2 integrated healthcare systems in California. Single-race, non-Latino White, and Asian American youth aged 2–19 years during the study period were included. Asian American subgroups included East, South, Southeast, and unidentified. Whites were the reference group. Study outcomes included age- and sex-specific BMI percentile and body weight status category (underweight, overweight or obesity, obesity). Series of 1-sample estimates for study outcomes were calculated by calendar year and biological ages.
Results
A total of 395,134 youth were included in the study (mean [SD] age at baseline of 8.26 [5.61] years; mean [SD] BMI percentile of 53.8 [30.3]), including 23,183 East Asians; 34,783 South Asians; and 34,738 Southeast Asians. Southeast Asians had the highest age-adjusted prevalence of obesity (2019 estimate: 13.3%) than East Asians (5.2%), South Asians (7.8%), and Whites (11.8%). South Asians had the highest prevalence of underweight (2019 estimate: 11.8%) than East Asians (5.5%), Southeast Asians (3.9%), and White (3.6%).
Conclusions
Substantial heterogeneity among Asian American youth was found in the study cohort. Asian American youth face distinct challenges of unhealthy weight statuses unique to their subgroups.
{"title":"Heterogeneity in BMI Percentile and Weight Status Among Asian American Youth","authors":"Darcy M. Van Deventer BS , Margo A. Sidell SCD , Catherine Lee PhD , Deborah R. Young PhD , Monique M. Hedderson PhD , Deborah A. Cohen MD, MPH , Emily F. Liu MPH , Lee J. Barton MS , Galina Inzhakova MPH , Bing Han PhD","doi":"10.1016/j.focus.2025.100381","DOIUrl":"10.1016/j.focus.2025.100381","url":null,"abstract":"<div><h3>Introduction</h3><div>There are important and understudied health differences among subgroups of Asian Americans. The authors examined differences in BMI percentile and body weight status among Asian American youth.</div></div><div><h3>Methods</h3><div>The authors conducted a retrospective cohort study using electronic health records in 2011–2020 from 2 integrated healthcare systems in California. Single-race, non-Latino White, and Asian American youth aged 2–19 years during the study period were included. Asian American subgroups included East, South, Southeast, and unidentified. Whites were the reference group. Study outcomes included age- and sex-specific BMI percentile and body weight status category (underweight, overweight or obesity, obesity). Series of 1-sample estimates for study outcomes were calculated by calendar year and biological ages.</div></div><div><h3>Results</h3><div>A total of 395,134 youth were included in the study (mean [SD] age at baseline of 8.26 [5.61] years; mean [SD] BMI percentile of 53.8 [30.3]), including 23,183 East Asians; 34,783 South Asians; and 34,738 Southeast Asians. Southeast Asians had the highest age-adjusted prevalence of obesity (2019 estimate: 13.3%) than East Asians (5.2%), South Asians (7.8%), and Whites (11.8%). South Asians had the highest prevalence of underweight (2019 estimate: 11.8%) than East Asians (5.5%), Southeast Asians (3.9%), and White (3.6%).</div></div><div><h3>Conclusions</h3><div>Substantial heterogeneity among Asian American youth was found in the study cohort. Asian American youth face distinct challenges of unhealthy weight statuses unique to their subgroups.</div></div>","PeriodicalId":72142,"journal":{"name":"AJPM focus","volume":"4 5","pages":"Article 100381"},"PeriodicalIF":0.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144772538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}