Annals of Epidemiology最新文献_第10页

Alignment of parent-proxy report and teen self-report of adverse childhood experiences among U.S. teens 美国青少年童年不良经历的父母代理报告与青少年自我报告的一致性。

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-23 DOI: 10.1016/j.annepidem.2024.09.001

Laima Licitis , Nicolas Suarez , Kayla N. Anderson , Marci F. Hertz , Jorge V. Verlenden , Melissa Heim Viox , Sanjana Pampati

{"title":"Alignment of parent-proxy report and teen self-report of adverse childhood experiences among U.S. teens","authors":"Laima Licitis , Nicolas Suarez , Kayla N. Anderson , Marci F. Hertz , Jorge V. Verlenden , Melissa Heim Viox , Sanjana Pampati","doi":"10.1016/j.annepidem.2024.09.001","DOIUrl":"10.1016/j.annepidem.2024.09.001","url":null,"abstract":"<div><h3>Purpose</h3><div>Data on adverse childhood experiences (ACEs) among teens is collected using a single informant, a parent-proxy, or teen self-report. Little is known about alignment between these approaches.</div></div><div><h3>Methods</h3><div>Surveys were administered online to teens ages 15–17 and their parents (n = 522 dyads) using the AmeriSpeak panel. We present descriptive statistics on the prevalence and measures agreement for 18 ACEs based on teen self-report and parent-proxy report. We fit multivariable models examining associations between teen and household demographic characteristics and discordance in ACE report.</div></div><div><h3>Results</h3><div>Based on teen-self report and parent-proxy report, cumulative and individual ACE prevalence was overall similar. However, discordance was found in individual ACE reports within teen-parent dyads (discordance ranged: 2.9–21.2 %). Lowest agreement was among ACEs related to abuse, neglect, and violence victimization and highest among household challenges. Furthermore, parent-teen dyads with LGB+ youth (vs. heterosexual) and Black, Hispanic, and multiracial or another race (vs. White) youth were more likely to have discordant responses among several ACEs.</div></div><div><h3>Conclusions</h3><div>Surveillance and programmatic efforts should consider the type of ACE and the reporter when using data to inform prevention strategies. Teen self-report for abuse, neglect, and violence victimization and community challenges ACEs are particularly important to capture.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"99 ","pages":"Pages 32-40"},"PeriodicalIF":3.3,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142331818","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}

引用次数: 0

COMPARISON OF SUPPORT VECTOR REGRESSION AND BOX-COX POWER EXPONENTIAL-GENERALIZED ADDITIVE MODEL FOR LOCATION, SCALE, AND SHAPE (BCPE-GAMLSS) IN PREDICTION OF BODY MASS INDEX 支持向量回归与用于位置、尺度和形状的箱-柯克斯功率指数-广义加性模型（BCPE-GAMLSS）在预测体重指数方面的比较

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.067

D.R. Fernando, S. Samita, P. De Silva, N.P. Somasundaram, U. Senarath, P. Katulanda

引用次数: 0

Pilot study: Using data mining to develop a machine learning pipeline to identify characteristics of products claiming health benefits for women 试点研究：利用数据挖掘开发机器学习管道，识别声称对妇女健康有益的产品的特征

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.088

C. Trice , G. Dubrow , C.L. Taylor , M. Nali , T.K. Mackey , Z. Li , M.Z. Larsen , B.J. Wolpert

引用次数: 0

The probable role of barberries and herbal medicine in congenital anomalies and disorders in Darmian city, South Khorasan Province, Iran 伊朗南呼罗珊省达尔米安市的芭乐和草药对先天性畸形和疾病的可能作用

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.071

Mohammad Ismail Masinainejad , Narges Khanjani , Maryam Khodadadi , Ismail Najafi

引用次数: 0

Examining word patterns and trends in self-harm emergency department narratives 研究自我伤害急诊科叙述中的用词模式和趋势

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.062

L.E. Beagle, A.L. Cammack, G.F. Miller, N. Idaikkadar

引用次数: 0

Diagnosing irritable bowel syndrome with artificial intelligence: A systematic review and Meta-analysis 用人工智能诊断肠易激综合征：系统回顾与元分析

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.005

Nishad Badree BSc, Prakash Ramdass MD, MPH

引用次数: 0

Investigating telehealth for Medicaid SUD and MH Services 为医疗补助计划的药物滥用、精神失常和心理健康服务开展远程保健调查

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.089

Akshaya Srikanth Bhagavathula

引用次数: 0

PREDICTING RISK OF EMPLOYEE INJURY IN A PEDIATRIC HOSPITAL 预测儿科医院员工受伤的风险

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.06.014

Emrah Gecili, Nancy Daraiseh, Cole Brokamp, Maurizio Macaluso

{"title":"PREDICTING RISK OF EMPLOYEE INJURY IN A PEDIATRIC HOSPITAL","authors":"Emrah Gecili, Nancy Daraiseh, Cole Brokamp, Maurizio Macaluso","doi":"10.1016/j.annepidem.2024.06.014","DOIUrl":"10.1016/j.annepidem.2024.06.014","url":null,"abstract":"<div><h3><strong>PURPOSE</strong></h3><p>Healthcare has one of the highest rates of non-fatal occupational injury as compared to other industries. Yet, evaluation of risk determinants and prediction algorithms in hospital settings remains limited.</p></div><div><h3><strong>METHODS</strong></h3><p>This study examines risk factors for employee injuries in a large pediatric hospital and evaluates prediction algorithms using hospital surveillance data, incident reports, and work unit measures such as patient density and employee workload. We employed multiple statistical models and machine learning tools, including logistic regression (LR), random forest (RF), penalized logistic regression (PLR), Naïve Bayes, neural network (NN), XGBoost (XG), and mixed-effects logistic regression (GLMER) to predict employee injury risk for specific time periods. We used cross-validation and receiver-operator characteristic (ROC) curve analyses to assess model performance.</p></div><div><h3><strong>RESULTS</strong></h3><p>GLMER, LR, and PLR were superior to other models, with higher AUC values (∼0.76), indicating good discrimination ability, though accuracy and specificity varied across models. RF showed high accuracy and specificity and comparable AUC with the top performing models. Further analyses using GLMER revealed variability in employee injury risk across months, days, and hospital units, identifying peaks on Tuesdays and Saturdays and in April and July, with lows in March and June.</p></div><div><h3><strong>CONCLUSION</strong></h3><p>Our findings highlight the significance of monitoring specific risk factors within pediatric hospital settings and pairing them with appropriate predictive algorithms to effectively predict and mitigate employee injuries. These insights indicate that continuous monitoring may help enhance employee safety. Future work should evaluate additional predictors that may be obtained from individual hospital units, which may inform targeted prevention strategies.</p></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"97 ","pages":"Page 107"},"PeriodicalIF":3.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142232771","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}

引用次数: 0

Role of transportation on overall health in Nebraska 交通对内布拉斯加州整体健康的影响

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.056

M. Ahuja, D. Lamprecht-Carson, H. Wang, L.C. Smith, K.L. Ratnapradipa

引用次数: 0

Barriers and motivators to heart-health related research participation among women 妇女参与心脏健康相关研究的障碍和动力

IF 3.3 3区医学

Annals of Epidemiology Pub Date : 2024-09-01 DOI: 10.1016/j.annepidem.2024.07.023

Ivree Datcher MPH , Olivia Affuso PhD, FACSM , Alexandra Krallman , Bertha Hidalgo PhD, MPH, FACE

引用次数: 0