Academic Pediatrics最新文献

{"title":"Socioeconomic Indicators and Low Body Mass Index Outcome Among Adolescents and Young Adults With Social Risks","authors":"Sophie H. Allende-Richter MD, MPH ,&nbsp;Aakansha Bagepally BA ,&nbsp;Jessica Addison MD, MS, MPH ,&nbsp;Patrice Melvin PhD ,&nbsp;Inyang Isong MD, ScD, MPH ,&nbsp;Christopher P. Landrigan MD, MPH ,&nbsp;Takara L. Stanley MD","doi":"10.1016/j.acap.2025.102814","DOIUrl":"10.1016/j.acap.2025.102814","url":null,"abstract":"<div><h3>Objective</h3><div>To describe clinical characteristics among adolescents and young adults with isolated low body mass index (BMI) and identify socioeconomic indicators in the lived environment associated with this outcome.</div></div><div><h3>Methods</h3><div>Using our electronic health record, we conducted a retrospective case-control study that included 135 adolescents and young adults ages 13 to 21 from an under-resourced neighborhood of Massachusetts with isolated diagnoses of failure to thrive or underweight status. We used the Centers for Disease Control and Prevention weight classification to allocate patients into low and normal BMI categories. We used chi-square and Fisher exact tests to compare differences in clinical characteristics and neighborhood socioeconomic indicators by BMI outcome and a 2-sample test of proportions or logistic regression to calculate the effect estimate and 95% confidence interval.</div></div><div><h3>Results</h3><div>Forty percent of the participants with low BMI were diagnosed with malnutrition and required nutritional supplements. Low BMI finding was positively associated with depression, anxiety, and unmet social drivers of health—primarily driven by housing insecurity.</div></div><div><h3>Conclusions</h3><div>Our findings indicate that a significant proportion of adolescents and young adults with low BMI experience housing insecurity and unmet social needs in their lived environment and suffer from malnutrition at a critical time of their growth and development. Further research is needed to understand the role of the lived environment and outcome of low BMI, the underlying mechanisms at play, and its impact on adolescents' and young adults' growth and development.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 5","pages":"Article 102814"},"PeriodicalIF":3.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation and Utility of an Electronic Consultation Program in a Children’s Health System","authors":"Dinesh S. Pashankar MD, MBA ,&nbsp;Daniel Prior MD ,&nbsp;Anita Arora MD, MBA, MHS ,&nbsp;Renee Fekieta PhD, MA ,&nbsp;Karla Marco MPH, MS ,&nbsp;Erica Spatz MD, MHS ,&nbsp;Mona Sharifi MD, MPH ,&nbsp;Babar Khokhar MD, MBA","doi":"10.1016/j.acap.2025.102815","DOIUrl":"10.1016/j.acap.2025.102815","url":null,"abstract":"<div><h3>Objective</h3><div>Electronic consultations (e-consults) are asynchronous communication between primary care providers (PCPs) and specialists. Studies in adults show that e-consults improve specialty access, but the data in pediatrics are limited. We report the evaluation and utility of a large pediatric e-consult program.</div></div><div><h3>Methods</h3><div>We reviewed our database for the number of e-consults per specialty, indications, and completion time. We determined the utility of e-consults by assessing health care utilization for the same clinical problem within 2 months following completed e-consults. PCPs and specialists were surveyed to assess time spent on e-consults and satisfaction with the e-consult program.</div></div><div><h3>Results</h3><div>Thirty-four specialists from 13 specialties completed 2192 e-consults requested by 45 PCPs over 55 months. An average response time for e-consult completion was 0.8 days. Dermatology (42%), endocrinology (16.6%), and neurology (8.2%) were the top 3 specialties with rashes, puberty questions, and seizures as common indications, respectively. Within the 2 months, 85% of patients did not present to the clinics or the emergency room for the same clinical problems addressed in the e-consults. Time spent on the e-consult was less than 20 minutes for PCPs (80%) and specialists (77%). High satisfaction was reported in PCPs (97%) and specialists (85%) with the e-consult program.</div></div><div><h3>Conclusions</h3><div>In the largest study on pediatric e-consults so far, prompt specialty advice was provided with e-consults to the PCPs by specialists. In most cases, patients did not present to our health system for the same clinical problems within 2 months. Both PCPs and specialists reported high satisfaction with the e-consult program.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 5","pages":"Article 102815"},"PeriodicalIF":3.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Seeking Optimal, Integrated Pediatric Medical and Social Care: A Qualitative, Peer Researcher-Driven Study","authors":"Margaret N. Jones MD, MS ,&nbsp;Clare Heaney BS ,&nbsp;Jessica Obayan LMSW ,&nbsp;Daniela Vollmer MSc ,&nbsp;Monica Arenas MPH ,&nbsp;Malika Muhammad C-CHW ,&nbsp;Raffel Prophett MA ,&nbsp;Patricia White EdD ,&nbsp;Moshe Seid BS ,&nbsp;Elizabeth B. Quinonez MHA, PMP, CHES ,&nbsp;Lauren Lipps MA ,&nbsp;Adrienne W. Henize JD ,&nbsp;Ndidi I. Unaka MD, MEd ,&nbsp;Andrew F. Beck MD, MPH ,&nbsp;on behalf of the Responding to Identified Sociomedical risks with Effective Unified Purpose Team (full team listed in Acknowledgments section)","doi":"10.1016/j.acap.2025.102816","DOIUrl":"10.1016/j.acap.2025.102816","url":null,"abstract":"<div><h3>Objective</h3><div>To generate qualitative insights with patients, families, and community partners to catalyze nimble, aligned medical-social care responses.</div></div><div><h3>Methods</h3><div>This study employed qualitative and co-design methods. We partnered with 4 peer researchers who interviewed individuals living in Greater Cincinnati with recent experience as pediatric patients or caregivers of pediatric patients. Interviews assessed ways in which health care, human services, patients, families, and communities do (or do not) collaborate to provide medical-social care. Interview transcripts were independently reviewed by an analytic team, inclusive of peer researchers, co-design experts, and pediatric clinicians and researchers. Findings were validated during community discussions, facilitating identification of themes and opportunity areas for intervention.</div></div><div><h3>Results</h3><div>Peer researchers conducted 19 interviews (14 English and 5 Spanish). Interviewees included individuals ranging from young adults (recent patients) to older adults with lived experience as caregivers of pediatric patients. Most identified as minority race and ethnicity and lived in socioeconomically disadvantaged Cincinnati neighborhoods. Themes related to structural barriers included 1) services are difficult to navigate; 2) medical and social care are often reactive (or nonexistent) when they could be proactive; and 3) medical and social care could be more closely integrated. Themes related to human factors included 4) medical and social service institutions are often untrustworthy; 5) diversified care teams with shared lived experiences could improve care delivery; and 6) optimal care requires empathy, clear communication, and partnership.</div></div><div><h3>Conclusions</h3><div>Patients, families, and community members identified themes and opportunity areas for improving medical and social care delivery. Next steps include the implementation and evaluation of prototype interventions.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 5","pages":"Article 102816"},"PeriodicalIF":3.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial Accessibility of Pediatric Resources by Child Opportunity, Racial and Ethnic Composition and Urbanicity","authors":"Emily M. Bucholz MD ,&nbsp;R. Thomas Day Jr MD ,&nbsp;Rohan Khazanchi MD MPH ,&nbsp;Faraz Alizadeh MD ,&nbsp;Jeff Blossom MA ,&nbsp;Dakota Bailey MA ,&nbsp;Steven Worthington PhD ,&nbsp;Jinjie Liu PhD ,&nbsp;Ravi Thiagarajan MBBS ,&nbsp;Valerie L. Ward MD, MPH ,&nbsp;Katie M. Moynihan MBBS","doi":"10.1016/j.acap.2025.102817","DOIUrl":"10.1016/j.acap.2025.102817","url":null,"abstract":"<div><h3>Objective</h3><div>We analyze drive times to pediatric inpatient and intensive care services in the US according to Child Opportunity Index (COI), racial/ethnic composition, and urbanicity.</div></div><div><h3>Methods</h3><div>Geospatial information system analyses delineated drive-time catchments of 0–30, 31–60, 61–120 and 120–240 minutes around hospitals with ≥5 inpatient pediatric and pediatric intensive care unit (PICU) beds. For each catchment, population-weighted COI, percent pediatric population of underrepresented races and ethnicities (%UR), and urbanicity were calculated and compared between the four drive-time catchments and for &gt;60 versus ≤60-minute drive-times. Prevalence ratios (PR) were calculated for &gt;60 versus ≤60-minute drive-times to compare the prevalence of longer drive-times for catchments with lower COI and lower %UR (vs higher), and rural versus urban areas.</div></div><div><h3>Results</h3><div>Overall, 8.1% and 20.5% of children reside &gt;60-minutes from pediatric and PICU services. Catchments within 60-minutes of inpatient or PICU services had higher COI (4.8, [95% CI 3.2, 6.5] and 6.1 [7.7, 4.5] respectively) compared with those &gt;60-minutes. Very low quintile COI catchments (vs very high) were more likely to be &gt;60-minutes from pediatric inpatient care (PR 2.89 [2.30, 3.61]) and PICU (PR 2.48 [1.92, 3.20]). %UR was 2.7% higher in ≤60-minute drive-time catchments (95% CI 0.1, 5.23, <em>P</em> <!-->=<!--> <!-->0.043) versus those &gt;60-minutes. Greater prevalence of &gt;60-minute drive-times was seen in catchments with a lower %UR (vs higher) and for rural (vs urban) catchments for pediatric and PICU services.</div></div><div><h3>Conclusions</h3><div>Children living further from pediatric care tend to have less resources and reside in rural areas. These data inform public health solutions for equitable resource distribution as care consolidates.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 5","pages":"Article 102817"},"PeriodicalIF":3.0,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143634806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Residency Program Size and Readiness for Unsupervised Practice in Pediatrics","authors":"Daniel J. Schumacher MD, PhD, MEd ,&nbsp;Ariel S. Winn MD ,&nbsp;Joni Hemond MD ,&nbsp;Carol Lynn O’Dea MD ,&nbsp;Karla L. Garcia MD ,&nbsp;Ann E. Burke MD, MBA ,&nbsp;Monique M. Naifeh MD, MPH ,&nbsp;Jason Zurawick MD ,&nbsp;Benjamin Kinnear MD, MEd ,&nbsp;Catherine Michelson MD, MMSc ,&nbsp;David A. Turner MD ,&nbsp;Abigail Martini MSMEd ,&nbsp;Alan Schwartz PhD, JD ,&nbsp;for the Association of Pediatric Program Directors Longitudinal Educational Assessment Research Network (APPD LEARN) Crosswalk Study Group","doi":"10.1016/j.acap.2025.102806","DOIUrl":"10.1016/j.acap.2025.102806","url":null,"abstract":"<div><h3>Objective</h3><div>This study sought to determine differences in program-reported entrustable professional activity (EPA) entrustment-supervision levels based on residency program size.</div></div><div><h3>Methods</h3><div>At the end of the 2021 to 2022, 2022 to 2023, and 2023 to 2024 academic years, entrustment-supervision levels for the 17 General Pediatrics EPAs were determined by clinical competency committees for graduating pediatric residents at 48 pediatrics residency programs. Programs were categorized as small, medium, large, and very large. The authors fitted a main-effects mixed-effects logistic regression model to predict the likelihood that a graduating resident was deemed ready to execute each EPA without supervision, with program size and EPA as fixed effects and program as a random effect. A second model also included the interaction between program size and EPA as a predictor.</div></div><div><h3>Results</h3><div>A total of 33,335 entrustment-supervision levels were reported for 2285 graduating pediatrics residents. Small programs were more likely to report residents as ready for unsupervised practice than multiple larger-sized program groups for 4 EPAs (health screening, well newborn, recognize/refer surgical problems, and manage information).</div></div><div><h3>Conclusions</h3><div>Characteristics of small programs may lead them to be more likely to entrust graduating residents with unsupervised practice in certain areas.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 4","pages":"Article 102806"},"PeriodicalIF":3.0,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143597746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prevalence and Trends in Pediatric-Onset Chronic Conditions in the United States, 1999–2018","authors":"Lauren E. Wisk PhD ,&nbsp;Niraj Sharma MD, MPH","doi":"10.1016/j.acap.2025.102810","DOIUrl":"10.1016/j.acap.2025.102810","url":null,"abstract":"<div><h3>Objective</h3><div>We sought to provide an updated estimate of the current prevalence and recent trends (over the past two decades) in pediatric-onset conditions among a nationally-representative sample of youth to identify opportunities for prevention and intervention.</div></div><div><h3>Methods</h3><div>We performed a secondary data analysis of nationally-representative data on 236,412 participants (ages 5–25 years) from the 1999 to 2018 National Health Interview Survey. Chronic conditions (CCs) and functional limitations (FLs) were self-reported by the participant or a qualified proxy-respondent. We employed multivariate linear probability models to estimate annual average increase in CC/FL prevalence and differences in prevalence across sociodemographic characteristics.</div></div><div><h3>Results</h3><div>The prevalence of children (5–17 years) with a CC/FL has risen from 22.57% in 1999/2000 to 30.21% in 2017/2018 – an adjusted annual increase of 0.24% points per year (<em>P</em> <!-->&lt;<!--> <!-->.0001) or about 130,000 additional children per year. The prevalence of young adults (18–25 years) with a CC/FL has risen similarly (adjusted annual increase of 0.33% points per year, <em>P</em> <!-->&lt;<!--> <!-->.0001). Asthma and mental/behavioral health conditions were some of the leading CC and FL (respectively) contributors to this increase for both age groups. We estimate that approximately 1.2 million youth with a CC or FL currently turn 18 each year.</div></div><div><h3>Conclusions</h3><div>The US is currently seeing an unprecedented number of youth with pediatric-onset conditions. It is incumbent for the US health system to seek ways to treat these patients in pediatric settings and eventually matriculate them into adult care.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 4","pages":"Article 102810"},"PeriodicalIF":3.0,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring Shared Decision-Making Training in Pediatrics: A Scoping Review","authors":"Vanessa I. Orellana-Villazon MD, MPH, MSc ,&nbsp;Jennifer E. deSante-Bertkau MD, MBE ,&nbsp;Noah Smith BS ,&nbsp;Melissa Previtera MLIS ,&nbsp;Ellen A. Lipstein MD, MPH","doi":"10.1016/j.acap.2025.102805","DOIUrl":"10.1016/j.acap.2025.102805","url":null,"abstract":"<div><h3>Background</h3><div>Shared decision-making (SDM) is crucial in pediatric care, but its implementation poses unique challenges. Training health care professionals in pediatric SDM is essential, yet little is known about the current state of these training programs.</div></div><div><h3>Objective</h3><div>Review existing pediatric-specific SDM training programs to understand the current state of training and identify areas for improvement.</div></div><div><h3>Data Sources</h3><div>Medline, PsycINFO, CINAHL, Education Research Complete, and LILACS.</div></div><div><h3>Eligibility Criteria</h3><div>We included original research publications in English, Spanish, and German that focused on SDM training involving pediatric health care professionals or evaluated SDM training within pediatric settings.</div></div><div><h3>Data Extraction</h3><div>We used a custom Covidence template to extract data on publication year, author, SDM focus, participants, curriculum design, teaching strategies, evaluated outcomes, and how the curriculum incorporated children's participation.</div></div><div><h3>Results</h3><div>Nineteen studies met the inclusion criteria. Most programs were from North America and published after 2018. Training approaches varied widely, with many focusing on specific clinical contexts. Only 2 curricula explicitly considered children as participants in the SDM process. Evaluation methods and outcomes varied across Kirkpatrick levels, with most programs reporting positive results in participant satisfaction, skill improvement, and patient outcomes.</div></div><div><h3>Limitations</h3><div>Only papers in English, Spanish, and German were included in the search.</div></div><div><h3>Conclusions</h3><div>While progress has been made in developing pediatric SDM training programs, there is a need for more consistency in content and evaluation methods. Future pediatric SDM training programs should prepare health care professionals with the skills necessary to involve children in the SDM process when appropriate.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 4","pages":"Article 102805"},"PeriodicalIF":3.0,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Child, Parent, and Contextual Correlates of School Readiness Among Children With Low Birth Weight","authors":"Genevieve G. Guyol MD, MAT ,&nbsp;Erika G. Cordova-Ramos MD ,&nbsp;Mei Elansary MD, MPhil ,&nbsp;Timothy C. Heeren PhD ,&nbsp;Jonathan S. Litt MD, MPH, ScD ,&nbsp;Margaret G. Parker MD, MPH","doi":"10.1016/j.acap.2025.102808","DOIUrl":"10.1016/j.acap.2025.102808","url":null,"abstract":"<div><h3>Objective</h3><div>Among US children with low birth weight (LBW) 1) determine prevalence of school readiness; and 2) examine associations between school readiness and medical factors (special health care needs, birth weight), sociodemographic characteristics (child race and ethnicity, household income, parental education, household language), community supports (early intervention/special education, outside childcare, medical home, neighborhood amenities), parent factors (mental health, emotional support, family resilience), and parenting practices (bedtime, mealtime, storytelling routines; daily screentime).</div></div><div><h3>Methods</h3><div>We studied 1421 children 3 to 5 years with birth weight &lt;2500g from the 2016–19 National Survey of Children’s Health. We calculated the prevalence of school readiness overall and in individual domains (early learning skills, physical health/motor development, social-emotional development, and self-regulation). We investigated associations between predictors and school readiness with logistic regression.</div></div><div><h3>Results</h3><div>Thirty percent of children with LBW were on-track for school readiness. Domain-specific readiness ranged from 45% in early learning skills to 87% in physical health/motor development. More complex special health care needs (average marginal effect [AME] −17%, 95% confidence interval [CI] −30%, −9%), parental education high school or less (AME −16%, 95% CI −15%, −4%), and early intervention/special education (AME −14%, 95% CI −26%, −5%) were negatively associated with school readiness. Parental emotional support (AME 12%, 95% CI 0.9%, 24%) and &lt;1 hour of daily screentime (AME 16%, 95% CI 6%, 29%) were positively associated with school readiness.</div></div><div><h3>Conclusions</h3><div>Less than one-third of US children with LBW were on-track for school readiness. Future work should focus on improving school readiness among this population.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 6","pages":"Article 102808"},"PeriodicalIF":3.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143586900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Association of Food Hardship With Family Resilience and Connection: Does Participation in Supplemental Nutrition Assistance Program Modify This Association?","authors":"Madeline Frank MPH, MSW ,&nbsp;Anna E. Austin PhD, MPH","doi":"10.1016/j.acap.2025.102807","DOIUrl":"10.1016/j.acap.2025.102807","url":null,"abstract":"<div><h3>Objective</h3><div>The aims of this nationally representative cross-sectional study were to examine 1) the association of food hardship with family resilience and connection among families with children ages 6 to 17 years and 2) whether participation in Supplemental Nutrition Assistance Program (SNAP) benefits modified this association.</div></div><div><h3>Methods</h3><div>We used 2019–21 data from the National Survey of Children’s Health. We conducted multivariable generalized linear regression to calculate risk ratios (RRs) and 95% confidence intervals (CIs) examining the association of food hardship with an established measure of family resilience and connection. Then, among households with incomes &lt;200% of the federal poverty level (FPL), we examined whether the association of food hardship with family resilience and connection differed among households participating and not participating in SNAP. We adjusted analyses for household characteristics and participation in other social safety net programs.</div></div><div><h3>Results</h3><div>Families who experienced food hardship were less likely (RR = 0.73, 95% CI 0.69, 0.76) to have high family resilience and connection compared to families who did not experience food hardship. SNAP participation did not modify this association among households with incomes &lt;200% FPL (RR = 0.71, 95% CI 0.65, 0.78 for SNAP-participating households; RR = 0.71, 95% CI 0.65, 0.77 for nonparticipating households).</div></div><div><h3>Conclusions</h3><div>Results add to evidence demonstrating that food hardship is a risk factor for lower family resilience and connection. Results highlight the need for further programs and policies, in addition to SNAP, to support families experiencing food hardship and promote family resilience and connection.</div></div>","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 4","pages":"Article 102807"},"PeriodicalIF":3.0,"publicationDate":"2025-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pediatric Match and the Pathway to Pediatrics: Strategies to Strengthen the Pathway","authors":"Colin J. Orr MD, MPH ,&nbsp;Eva Catenaccio MD ,&nbsp;Erin P. Fraher PhD, MPP ,&nbsp;Harold K. Simon MD, MBA ,&nbsp;Christopher J. Stille MD, MPH ,&nbsp;Adam L. Turner MPH ,&nbsp;Laurel K. Leslie MD, MPH","doi":"10.1016/j.acap.2025.102809","DOIUrl":"10.1016/j.acap.2025.102809","url":null,"abstract":"","PeriodicalId":50930,"journal":{"name":"Academic Pediatrics","volume":"25 4","pages":"Article 102809"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143543514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}