Pub Date : 2026-01-01Epub Date: 2025-12-05DOI: 10.1016/j.annepidem.2025.11.008
Fardowsa L.A. Yusuf PhD , Mohammad Ehsanul Karim PhD , Jason M. Sutherland PhD , Feng Zhu MSc , Yinshan Zhao PhD , Ruth Ann Marrie MD, PhD , Helen Tremlett PhD
Background
We investigated the association between multiple sclerosis (MS) and fractures, dislocations/sprains/strains, and burns preceding MS recognition.
Methods
We conducted a cohort study using clinical and population-based health administrative data in British Columbia, Canada (1991–2020). We compared the risk of a fracture, dislocation/sprain/strain, and burn in the six years preceding an MS cases’ first demyelinating claim (administrative cohort=9197) or MS symptom onset (clinical cohort=1446) to that of matched general population controls using modified Poisson regression. As sensitivity analyses, we used high-dimensional propensity scores (hdPS) to address residual confounding and targeted maximum likelihood estimation (TMLE) for mis-specification.
Results
In the six years before the first demyelinating claim (administrative cohort), the risk of a fracture (adjusted relative risks [adjRR]=1.28;95 %CI:1.20–1.36), dislocation/sprain/strain (adjRR=1.20;95 %CI:1.15–1.23), and burn (adjRR=1.40;95 %CI:1.22–1.62) was higher among MS cases. After hdPS adjustment and TMLE, the adjusted relative risks decreased slightly: fracture (hdPS=1.20; TMLE=1.20), dislocation/sprain/strain (hdPS=1.15; TMLE=1.15), and burn (hdPS=1.25; TMLE=1.26). Pre-MS symptom onset (clinical cohort), the associations were weaker but in the same direction.
Conclusion
Fractures, dislocations/sprains/strains, and burns were more common among people with MS before its classical recognition, suggesting that MS could be detected earlier.
{"title":"Injury preceding the classical recognition of multiple sclerosis: A population-based study","authors":"Fardowsa L.A. Yusuf PhD , Mohammad Ehsanul Karim PhD , Jason M. Sutherland PhD , Feng Zhu MSc , Yinshan Zhao PhD , Ruth Ann Marrie MD, PhD , Helen Tremlett PhD","doi":"10.1016/j.annepidem.2025.11.008","DOIUrl":"10.1016/j.annepidem.2025.11.008","url":null,"abstract":"<div><h3>Background</h3><div>We investigated the association between multiple sclerosis (MS) and fractures, dislocations/sprains/strains, and burns preceding MS recognition.</div></div><div><h3>Methods</h3><div>We conducted a cohort study using clinical and population-based health administrative data in British Columbia, Canada (1991–2020). We compared the risk of a fracture, dislocation/sprain/strain, and burn in the six years preceding an MS cases’ first demyelinating claim (administrative cohort=9197) or MS symptom onset (clinical cohort=1446) to that of matched general population controls using modified Poisson regression. As sensitivity analyses, we used high-dimensional propensity scores (hdPS) to address residual confounding and targeted maximum likelihood estimation (TMLE) for mis-specification.</div></div><div><h3>Results</h3><div>In the six years before the first demyelinating claim (administrative cohort), the risk of a fracture (adjusted relative risks [adjRR]=1.28;95 %CI:1.20–1.36), dislocation/sprain/strain (adjRR=1.20;95 %CI:1.15–1.23), and burn (adjRR=1.40;95 %CI:1.22–1.62) was higher among MS cases. After hdPS adjustment and TMLE, the adjusted relative risks decreased slightly: fracture (hdPS=1.20; TMLE=1.20), dislocation/sprain/strain (hdPS=1.15; TMLE=1.15), and burn (hdPS=1.25; TMLE=1.26). Pre-MS symptom onset (clinical cohort), the associations were weaker but in the same direction.</div></div><div><h3>Conclusion</h3><div>Fractures, dislocations/sprains/strains, and burns were more common among people with MS before its classical recognition, suggesting that MS could be detected earlier.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"113 ","pages":"Pages 30-37"},"PeriodicalIF":3.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145702404","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}
Pub Date : 2026-01-01Epub Date: 2026-01-07DOI: 10.1016/j.annepidem.2025.10.021
Jeb Jones PhD, MPH, MS
Educational Engagement Modules (EEMs) are teaching materials for educators and students that facilitate a deeper understanding of key epidemiological methods and concepts. Each EEM poses a series of questions using a recently published paper in Annals to further understanding of a specific study design and to encourage critical thinking and careful evaluation. This EEM focuses on the use of mediation in a study exploring whether breast density mediates the relationship between early life characteristics and postmenopausal breast cancer: Pedersen DC, Hameiri-Bowen D, Aarestrup J, Jensen BW, Tjønneland A, Mellemkjær L, von Euler-Chelpin M, Vejborg I, Andersen ZJ, Baker JL. Associations of early life body size and pubertal timing with breast density and postmenopausal breast cancer risk: A mediation analysis. Ann Epidemiol. 2025 Feb;102:68–74. doi: 10.1016/j.annepidem.2025.01.004. Epub 2025 Jan 10. PMID: 39798680 [1].
教育参与模块(EEMs)是为教育工作者和学生提供的教材,有助于更深入地理解关键的流行病学方法和概念。每个EEM提出一系列问题,使用最近发表在《年鉴》上的一篇论文,以进一步理解特定的研究设计,并鼓励批判性思维和仔细评估。乳腺密度是否在早期生活特征与绝经后乳腺癌之间起中介作用的研究:Pedersen DC, Hameiri-Bowen D, Aarestrup J, Jensen BW, Tjønneland a, Mellemkjær L, von Euler-Chelpin M, Vejborg I, Andersen ZJ, Baker JL。早期生活体型和青春期时间与乳腺密度和绝经后乳腺癌风险的关联:一个中介分析。流行病学杂志。2025;102:68-74。doi: 10.1016 / j.annepidem.2025.01.004。Epub 2025年1月10日中国经济:39798680[1]。
{"title":"Mediation learning module: Pedersen et al (2025), Associations of early life body size and pubertal timing with breast density and postmenopausal breast cancer risk: A mediation analysis","authors":"Jeb Jones PhD, MPH, MS","doi":"10.1016/j.annepidem.2025.10.021","DOIUrl":"10.1016/j.annepidem.2025.10.021","url":null,"abstract":"<div><div>Educational Engagement Modules (EEMs) are teaching materials for educators and students that facilitate a deeper understanding of key epidemiological methods and concepts. Each EEM poses a series of questions using a recently published paper in Annals to further understanding of a specific study design and to encourage critical thinking and careful evaluation. This EEM focuses on the use of mediation in a study exploring whether breast density mediates the relationship between early life characteristics and postmenopausal breast cancer: Pedersen DC, Hameiri-Bowen D, Aarestrup J, Jensen BW, Tjønneland A, Mellemkjær L, von Euler-Chelpin M, Vejborg I, Andersen ZJ, Baker JL. Associations of early life body size and pubertal timing with breast density and postmenopausal breast cancer risk: A mediation analysis. Ann Epidemiol. 2025 Feb;102:68–74. doi: 10.1016/j.annepidem.2025.01.004. Epub 2025 Jan 10. PMID: 39798680 <span><span>[1]</span></span>.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"113 ","pages":"Pages 86-88"},"PeriodicalIF":3.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938917","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}
Pub Date : 2025-12-01Epub Date: 2025-11-19DOI: 10.1016/j.annepidem.2025.11.003
Kimberly S. McKee PhD, MPH , Christine M. Bassis PhD , Jonathan Golob MD , Beatrice Palazzolo MSc , Sarah S. Comstock PhD , Christian Rosas-Salazar MD, MPH , Joseph B. Stanford MD , Sen Ananda PhD , Thomas O’Connor PhD , James E. Gern MD , Nigel Paneth MD, MPH , Anne L. Dunlop MD, MPH , for the ECHO Cohort Consortium
Purpose
The vaginal microbiome is dynamic, typically shifting during pregnancy toward enrichment of Lactobacillus. However, proliferation of Lactobacillus may be absent among women with preterm births (PTBs). We sought to identify robust vaginal microbiota signatures along with host factors that predicted PTB across diverse U.S. cohorts.
Methods
We meta-analyzed 16S rRNA gene amplicon sequence data from the Environmental influences on Child Health Outcomes Cohort. We classified community state types (CSTs) and employed penalized logistic regression models to assess the association between vaginal CST and PTB. We generated supervised random forest models and validated them using a train-and-test approach to identify the most predictive vaginal taxa and host factors.
Results
Of 683 births, 12 % were preterm. Overall, 26 % had a non- L. iners Lactobacillus-dominant CST (I, II, V), 43 % had a L. iners-dominant CST (III), and 30 % had a diverse, non-Lactobacillus-dominant (IV-B, IV-C) CST. Vaginal CST was strongly associated with PTB (adjusted odds ratio [aOR], 3.86, 95 % confidence interval [CI], 1.57–11.3 for diverse, non-Lactobacillus-dominant communities and aOR, 3.03, 95 % CI, 1.25–8.78 for L. iners-dominant compared to L. crispatus-dominant communities). The model with the highest area under the curve (AUC=.77) included Gardnerella vaginalis, age, Prevotella timonensis, and L. crispatus.
Conclusions
Along with host factors, vaginal microbiota could be used for predictive risk scoring for PTB across different U.S. cohorts.
{"title":"Vaginal microbiome structure in pregnancy and host factors predict preterm birth: Results from the ECHO Cohort","authors":"Kimberly S. McKee PhD, MPH , Christine M. Bassis PhD , Jonathan Golob MD , Beatrice Palazzolo MSc , Sarah S. Comstock PhD , Christian Rosas-Salazar MD, MPH , Joseph B. Stanford MD , Sen Ananda PhD , Thomas O’Connor PhD , James E. Gern MD , Nigel Paneth MD, MPH , Anne L. Dunlop MD, MPH , for the ECHO Cohort Consortium","doi":"10.1016/j.annepidem.2025.11.003","DOIUrl":"10.1016/j.annepidem.2025.11.003","url":null,"abstract":"<div><h3>Purpose</h3><div>The vaginal microbiome is dynamic, typically shifting during pregnancy toward enrichment of Lactobacillus. However, proliferation of Lactobacillus may be absent among women with preterm births (PTBs). We sought to identify robust vaginal microbiota signatures along with host factors that predicted PTB across diverse U.S. cohorts.</div></div><div><h3>Methods</h3><div>We meta-analyzed 16S rRNA gene amplicon sequence data from the Environmental influences on Child Health Outcomes Cohort. We classified community state types (CSTs) and employed penalized logistic regression models to assess the association between vaginal CST and PTB. We generated supervised random forest models and validated them using a train-and-test approach to identify the most predictive vaginal taxa and host factors.</div></div><div><h3>Results</h3><div>Of 683 births, 12 % were preterm. Overall, 26 % had a non- L. iners Lactobacillus-dominant CST (I, II, V), 43 % had a L. iners-dominant CST (III), and 30 % had a diverse, non-Lactobacillus-dominant (IV-B, IV-C) CST. Vaginal CST was strongly associated with PTB (adjusted odds ratio [aOR], 3.86, 95 % confidence interval [CI], 1.57–11.3 for diverse, non-Lactobacillus-dominant communities and aOR, 3.03, 95 % CI, 1.25–8.78 for L. iners-dominant compared to L. crispatus-dominant communities). The model with the highest area under the curve (AUC=.77) included Gardnerella vaginalis, age, Prevotella timonensis, and L. crispatus.</div></div><div><h3>Conclusions</h3><div>Along with host factors, vaginal microbiota could be used for predictive risk scoring for PTB across different U.S. cohorts.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 110-118"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145566163","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}
Pub Date : 2025-12-01Epub Date: 2025-11-04DOI: 10.1016/j.annepidem.2025.10.019
Sanjana Pampati , Elizabeth A. Stuart , Justin Lessler , Kirsten E. Wiens , Lance A. Waller , Benjamin Lopman , Jodie L. Guest , M. Kate Grabowski , Jeb Jones
Purpose
Schools used a wide range of infection prevention strategies during 2022 when there were surges of the Omicron variant of SARS-CoV-2, respiratory syncytial virus, and influenza. We examined data from the Spring semester of the 2021/2022 school year in the United States to describe use of school-based infection prevention strategies, factors associated with implementation, and associations with COVID-19 and respiratory disease related outcomes.
Methods
We analyzed data from January-June 2022 from the COVID-19 Trends and Impact Survey, a daily, cross-sectional survey on Facebook to examine associations between 11 school-based infection prevention strategies and 5 household COVID-19 and respiratory disease related outcomes (e.g., positive COVID-19 test, COVID-19 like illness). Analyses were restricted to parents with a child < 18 years old who was attending school in-person (n = 228,624). Multivariable, quasibinomial regression models were fit, adjusting for child-, household-, county-level covariates and state.
Results
Universal mask requirements were associated with decreased odds and having no school-based extracurriculars with increased odds of all examined outcomes. Additional prevention strategies were associated with reduced odds of specific outcomes: modified cafeteria use, regular testing of teachers and staff, ventilation improvements, and restricted entry.
Conclusions
Findings affirm the protective effect of universal mask requirements in school settings. No school based extracurriculars being associated with increased odds of examined outcomes may be a result of reverse causation bias. State and local health departments and education agencies can provide technical assistance to schools to ensure appropriate adoption of strategies based on each school’s unique circumstances.
{"title":"Impact of school-based infection prevention strategies on household COVID-19 and respiratory disease outcomes: A cross-sectional study","authors":"Sanjana Pampati , Elizabeth A. Stuart , Justin Lessler , Kirsten E. Wiens , Lance A. Waller , Benjamin Lopman , Jodie L. Guest , M. Kate Grabowski , Jeb Jones","doi":"10.1016/j.annepidem.2025.10.019","DOIUrl":"10.1016/j.annepidem.2025.10.019","url":null,"abstract":"<div><h3>Purpose</h3><div>Schools used a wide range of infection prevention strategies during 2022 when there were surges of the Omicron variant of SARS-CoV-2, respiratory syncytial virus, and influenza. We examined data from the Spring semester of the 2021/2022 school year in the United States to describe use of school-based infection prevention strategies, factors associated with implementation, and associations with COVID-19 and respiratory disease related outcomes.</div></div><div><h3>Methods</h3><div>We analyzed data from January-June 2022 from the COVID-19 Trends and Impact Survey, a daily, cross-sectional survey on Facebook to examine associations between 11 school-based infection prevention strategies and 5 household COVID-19 and respiratory disease related outcomes (e.g., positive COVID-19 test, COVID-19 like illness). Analyses were restricted to parents with a child < 18 years old who was attending school in-person (n = 228,624). Multivariable, quasibinomial regression models were fit, adjusting for child-, household-, county-level covariates and state.</div></div><div><h3>Results</h3><div>Universal mask requirements were associated with decreased odds and having no school-based extracurriculars with increased odds of all examined outcomes. Additional prevention strategies were associated with reduced odds of specific outcomes: modified cafeteria use, regular testing of teachers and staff, ventilation improvements, and restricted entry.</div></div><div><h3>Conclusions</h3><div>Findings affirm the protective effect of universal mask requirements in school settings. No school based extracurriculars being associated with increased odds of examined outcomes may be a result of reverse causation bias. State and local health departments and education agencies can provide technical assistance to schools to ensure appropriate adoption of strategies based on each school’s unique circumstances.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 76-83"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460227","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}
Pub Date : 2025-12-01Epub Date: 2025-10-06DOI: 10.1016/j.annepidem.2025.10.006
Lynsie R. Ranker PhD, MPH , Sabra L. Katz-Wise PhD , Allegra R. Gordon ScD, MPH , R. Korkodilos , Ziming Xuan ScD, SM, MA , Kimberly M. Nelson PhD, MPH
Purpose
Prior work has documented sexual orientation change, or fluidity, among youth over time. Some studies measure change via retrospective recall while others assess change prospectively. It is unclear whether retrospective recall and prospective assessment measure change experiences similarly. The current study examines whether prospectively assessed change in sexual orientation identity (SOI) and attractions aligns with change as assessed via retrospective recall of change.
Methods
US youth (N = 1235), aged 14–25 years, participated in a longitudinal online cohort. Prospective change in SOI and attraction were determined by comparing self-reported SOI and attraction at baseline and 4-month follow-up. Retrospective recall of SOI and attraction change was assessed at 4-month follow-up. The sensitivity and specificity of retrospective recall of change was assessed in relation to change detected prospectively.
Results
Prospectively, 12.8 % of youth changed their reported SOI between baseline and follow-up. Retrospectively, only 5.0 % recalled change for the same period. Prospectively, 21.9 % reported attraction changes between baseline and follow-up. Retrospectively, only 12.4 % recalled attraction changes. Only 17.3 % (95 % CI 11.3, 23.4) who prospectively reported SOI change and 28.7 % (95 % CI 23.3, 34.2) who prospectively reported attraction change also reported change retrospectively.
Conclusions
The prevalence of change in SOI and attractions varied substantially by whether change was assessed prospectively or retrospectively. Researchers and clinicians should consider how the method and timing of assessment may influence their ability to detect changes in SOI and attractions within youth populations. Identification of youth experiencing change is critical for allocation of relevant resources and support.
目的:先前的工作已经记录了性取向的变化,或流动性,随着时间的推移,在青少年中。一些研究通过回顾性回忆来衡量变化,而另一些研究则是前瞻性地评估变化。目前尚不清楚回顾性回忆和前瞻性评估是否同样改变了经验。目前的研究考察了前瞻性评估的性取向、身份(SOI)和吸引力的变化是否与通过回顾性回忆变化评估的变化一致。方法:美国青少年(N= 1235),年龄14-25岁,参与纵向在线队列研究。通过比较基线和4个月随访时自我报告的SOI和吸引力来确定SOI和吸引力的预期变化。在4个月的随访中评估SOI的回顾性回忆和吸引力变化。回顾性回忆变化的敏感性和特异性与前瞻性检测变化的相关性进行了评估。结果:前瞻性地,12.8%的年轻人在基线和随访期间改变了他们报告的SOI。回顾性分析,只有5.0%的人回忆起同一时期的变化。21.9%的人报告了基线和随访期间的吸引力变化。回想起来,只有12.4%的人回忆起吸引力的变化。只有17.3% (95% CI 11.3, 23.4)前瞻性报告SOI变化的患者和28.3% (95% CI 23.3, 34.2)前瞻性报告吸引力变化的患者也回顾性报告了变化。结论:无论是前瞻性评估还是回顾性评估,SOI和吸引力变化的流行程度存在很大差异。研究人员和临床医生应该考虑评估的方法和时间如何影响他们检测青年人群中SOI变化和吸引力的能力。确定正在经历变化的青年对于分配相关资源和支持至关重要。
{"title":"Sexual orientation identity and attraction changes among youth: prospective versus retrospective measurement","authors":"Lynsie R. Ranker PhD, MPH , Sabra L. Katz-Wise PhD , Allegra R. Gordon ScD, MPH , R. Korkodilos , Ziming Xuan ScD, SM, MA , Kimberly M. Nelson PhD, MPH","doi":"10.1016/j.annepidem.2025.10.006","DOIUrl":"10.1016/j.annepidem.2025.10.006","url":null,"abstract":"<div><h3>Purpose</h3><div>Prior work has documented sexual orientation change, or fluidity, among youth over time. Some studies measure change via retrospective recall while others assess change prospectively. It is unclear whether retrospective recall and prospective assessment measure change experiences similarly. The current study examines whether prospectively assessed change in sexual orientation identity (SOI) and attractions aligns with change as assessed via retrospective recall of change.</div></div><div><h3>Methods</h3><div>US youth (N = 1235), aged 14–25 years, participated in a longitudinal online cohort. Prospective change in SOI and attraction were determined by comparing self-reported SOI and attraction at baseline and 4-month follow-up. Retrospective recall of SOI and attraction change was assessed at 4-month follow-up. The sensitivity and specificity of retrospective recall of change was assessed in relation to change detected prospectively.</div></div><div><h3>Results</h3><div>Prospectively, 12.8 % of youth changed their reported SOI between baseline and follow-up. Retrospectively, only 5.0 % recalled change for the same period. Prospectively, 21.9 % reported attraction changes between baseline and follow-up. Retrospectively, only 12.4 % recalled attraction changes. Only 17.3 % (95 % CI 11.3, 23.4) who prospectively reported SOI change and 28.7 % (95 % CI 23.3, 34.2) who prospectively reported attraction change also reported change retrospectively.</div></div><div><h3>Conclusions</h3><div>The prevalence of change in SOI and attractions varied substantially by whether change was assessed prospectively or retrospectively. Researchers and clinicians should consider how the method and timing of assessment may influence their ability to detect changes in SOI and attractions within youth populations. Identification of youth experiencing change is critical for allocation of relevant resources and support.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 8-14"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253604","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}
Pub Date : 2025-12-01Epub Date: 2025-10-16DOI: 10.1016/j.annepidem.2025.10.015
Yu-Xuan Xiao , Yi-Xin Zou , Zhuo-Ying Li , Qiu-Ming Shen , Da-Ke Liu , Yu-Ting Tan , Hong-Lan Li , Yong-Bing Xiang
Background
Primary liver cancer (PLC) remains a major public health concern, particularly in China where the incidence is high. Existing prediction models often focus on high-risk populations and depend heavily on laboratory data, which limits their utility in general population screening.
Methods
We developed and validated a 15-year PLC risk prediction model using data from two large prospective cohort studies in Shanghai (n = 132,360), including 618 incident PLC cases. Candidate variables encompassed sociodemographic characteristics, lifestyle behaviors, medical history, and dietary factors. Predictor selection was performed using LASSO regression and the Boruta algorithm. Five machine learning models and logistic regression were compared. Model performance was evaluated using AUC, calibration plots and net reclassification improvement (NRI). SHapley Additive exPlanations (SHAP) were used to interpret model predictions. Web-based tools, including a simplified risk calculator, were developed to facilitate practical application.
Results
LightGBM achieved the best discrimination (AUC = 0.766) and excellent calibration. Net reclassification analysis indicated an improved ability to correctly classify low-risk individuals. The model effectively stratified the population: the high-risk group had a 15-year PLC risk that was 39.56 times that of the low-risk group. SHAP analysis revealed biologically meaningful associations. A simplified logistic model with fewer variables also performed well (AUC = 0.762), supporting effective risk stratification.
Conclusion
We developed a questionnaire-based 15-year PLC risk prediction model applicable to the general Chinese population. Both the full and simplified models demonstrated strong performance and interpretability, making them valuable tools for large-scale screening and targeted prevention, especially in resource-limited settings.
{"title":"A machine learning approach for a 15-year prediction model of liver cancer incidence: Results from two large Chinese population cohorts","authors":"Yu-Xuan Xiao , Yi-Xin Zou , Zhuo-Ying Li , Qiu-Ming Shen , Da-Ke Liu , Yu-Ting Tan , Hong-Lan Li , Yong-Bing Xiang","doi":"10.1016/j.annepidem.2025.10.015","DOIUrl":"10.1016/j.annepidem.2025.10.015","url":null,"abstract":"<div><h3>Background</h3><div>Primary liver cancer (PLC) remains a major public health concern, particularly in China where the incidence is high. Existing prediction models often focus on high-risk populations and depend heavily on laboratory data, which limits their utility in general population screening.</div></div><div><h3>Methods</h3><div>We developed and validated a 15-year PLC risk prediction model using data from two large prospective cohort studies in Shanghai (n = 132,360), including 618 incident PLC cases. Candidate variables encompassed sociodemographic characteristics, lifestyle behaviors, medical history, and dietary factors. Predictor selection was performed using LASSO regression and the Boruta algorithm. Five machine learning models and logistic regression were compared. Model performance was evaluated using AUC, calibration plots and net reclassification improvement (NRI). SHapley Additive exPlanations (SHAP) were used to interpret model predictions. Web-based tools, including a simplified risk calculator, were developed to facilitate practical application.</div></div><div><h3>Results</h3><div>LightGBM achieved the best discrimination (AUC = 0.766) and excellent calibration. Net reclassification analysis indicated an improved ability to correctly classify low-risk individuals. The model effectively stratified the population: the high-risk group had a 15-year PLC risk that was 39.56 times that of the low-risk group. SHAP analysis revealed biologically meaningful associations. A simplified logistic model with fewer variables also performed well (AUC = 0.762), supporting effective risk stratification.</div></div><div><h3>Conclusion</h3><div>We developed a questionnaire-based 15-year PLC risk prediction model applicable to the general Chinese population. Both the full and simplified models demonstrated strong performance and interpretability, making them valuable tools for large-scale screening and targeted prevention, especially in resource-limited settings.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 28-37"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145318874","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}
Pub Date : 2025-12-01Epub Date: 2025-10-06DOI: 10.1016/j.annepidem.2025.10.001
Maria Gueltzow , Maarten J. Bijlsma , Frank J. van Lenthe
One of the central goals of public health is not only to improve the health in the population overall, but also to reduce the unequal distribution of health and disease within the population. Even though a large amount of research is directed towards identifying and understanding health inequalities, much of this research is based on associations. This type of research can help to identify what groups in society are at risk of having worse health but cannot tell us how these inequalities may be reduced. In order to move beyond identifying who is at risk, we illustrate how we can combine the existing theoretical foundations with the counterfactual outcomes framework to understand how health inequalities can be tackled. We show how the Commission on Social Determinants of Health (CSDH) framework and the Diderichsen model can be translated into practice through the use of DAGs and notation. This will aid in generating more informative evidence on how certain interventions can reduce inequalities.
{"title":"Beyond associations: From theory to interventions in health inequalities research using causal inference","authors":"Maria Gueltzow , Maarten J. Bijlsma , Frank J. van Lenthe","doi":"10.1016/j.annepidem.2025.10.001","DOIUrl":"10.1016/j.annepidem.2025.10.001","url":null,"abstract":"<div><div>One of the central goals of public health is not only to improve the health in the population overall, but also to reduce the unequal distribution of health and disease within the population. Even though a large amount of research is directed towards identifying and understanding health inequalities, much of this research is based on associations. This type of research can help to identify what groups in society are at risk of having worse health but cannot tell us how these inequalities may be reduced. In order to move beyond identifying who is at risk, we illustrate how we can combine the existing theoretical foundations with the counterfactual outcomes framework to understand how health inequalities can be tackled. We show how the Commission on Social Determinants of Health (CSDH) framework and the Diderichsen model can be translated into practice through the use of DAGs and notation. This will aid in generating more informative evidence on how certain interventions can reduce inequalities.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 1-7"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253682","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}
Pub Date : 2025-12-01Epub Date: 2025-10-11DOI: 10.1016/j.annepidem.2025.10.014
Adam S. Vaughan PhD , Nicholas Sutton MPH , Rebecca C. Woodruff PhD , LaTonia C. Richardson PhD , Janet S. Wright MD , Fátima Coronado MD
Purpose
This study examines national trends in mortality from cardiovascular disease (CVD) and select subtypes among U.S. young adults aged 18–34 years from 2000 to 2023.
Methods
National mortality data from the National Vital Statistics System were used to identify CVD, heart disease, stroke, and hypertension-related CVD deaths among U.S. residents aged 18–34 from 2000 to 2023. Crude and age-standardized death rates were calculated overall and by age group, sex, and race and ethnicity. Temporal trends were calculated as percent change using a log-linear model.
Results
From 2000–2023, age-standardized CVD and heart disease death rates among young adults did not statistically change (percent change: −2.2 % [95 % CI: −7.8, 3.7] and −2.4 % [95 % CI: −8.3 %, 3.8 %], respectively). Stroke death rates decreased (percent change: −15.7 % [-21.0 %, −10.0 %])). However, hypertension-related CVD death rates increased by 78.5 % [95 % CI: 63.6 %, 94.7 %]). Patterns across demographic groups were broadly similar.
Conclusion
Despite stability or modest declines in CVD death rates among young adults, hypertension-related CVD death rates increased sharply during 2000–2023. These findings merit public health action and underscore the need for better identification and management of hypertension and other CVD risk factors among young adults.
{"title":"Cardiovascular disease mortality trends in young adults aged 18–34 years, United States, 2000–2023","authors":"Adam S. Vaughan PhD , Nicholas Sutton MPH , Rebecca C. Woodruff PhD , LaTonia C. Richardson PhD , Janet S. Wright MD , Fátima Coronado MD","doi":"10.1016/j.annepidem.2025.10.014","DOIUrl":"10.1016/j.annepidem.2025.10.014","url":null,"abstract":"<div><h3>Purpose</h3><div>This study examines national trends in mortality from cardiovascular disease (CVD) and select subtypes among U.S. young adults aged 18–34 years from 2000 to 2023.</div></div><div><h3>Methods</h3><div>National mortality data from the National Vital Statistics System were used to identify CVD, heart disease, stroke, and hypertension-related CVD deaths among U.S. residents aged 18–34 from 2000 to 2023. Crude and age-standardized death rates were calculated overall and by age group, sex, and race and ethnicity. Temporal trends were calculated as percent change using a log-linear model.</div></div><div><h3>Results</h3><div>From 2000–2023, age-standardized CVD and heart disease death rates among young adults did not statistically change (percent change: −2.2 % [95 % CI: −7.8, 3.7] and −2.4 % [95 % CI: −8.3 %, 3.8 %], respectively). Stroke death rates decreased (percent change: −15.7 % [-21.0 %, −10.0 %])). However, hypertension<strong>-</strong>related CVD death rates increased by 78.5 % [95 % CI: 63.6 %, 94.7 %]). Patterns across demographic groups were broadly similar.</div></div><div><h3>Conclusion</h3><div>Despite stability or modest declines in CVD death rates among young adults, hypertension-related CVD death rates increased sharply during 2000–2023. These findings merit public health action and underscore the need for better identification and management of hypertension and other CVD risk factors among young adults.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 38-45"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145287638","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}
Pub Date : 2025-12-01Epub Date: 2025-11-06DOI: 10.1016/j.annepidem.2025.10.018
Justin Knox , Kara Portier , Christopher Magana , Maggie Denning , Christopher M. Ferraris , Emily Dove-Medows , Cho-Hee Shrader , Ohemaa Poku , Phil Kreniske , Robert Remien , Efrat Aharonovich , Jennifer C. Elliott , Denis Nash , Kathryn Lancaster , Till Baernighausen , Kayo Fujimoto , Adam Carrico , John A. Schneider , Alida Bouris , D. Scott Batey , Stefan D. Baral
Purpose
Combining evidence-based interventions (EBIs) is a discrete process from adapting EBIs, and specific guidance for how to combine EBIs could be helpful amidst the proliferation of frameworks that combine and stage EBIs and calls for services to be combined or bundled. To address this gap, we developed and applied the COllaborative Method for Building INterventions from Existing Evidence-Based Interventions (COMBINE-EBIs) approach, a five-step process for combining EBIs.
Methods
The five steps of COMBINE-EBIs are: (1) Identify and Select EBIs, (2) Develop a Shared Conceptual Model, (3) Evaluate the Conceptual Model, (4) Create a Single Combined Protocol, and (5) Refine through Further Input.
Results
We developed and applied the 5-step COMBINE-EBIs process to build a fully refined, pre-tested, combined multi-component intervention that leverages intrinsic social network support and mHealth technology to support people with HIV who drink heavily improve HIV care outcomes and reduce alcohol use.
Conclusions
COMBINE-EBIs is a rigorous, systematic and efficient approach for building multi-component, multi-modal interventions to address multiple, co-occurring health behaviors simultaneously. COMBINE-EBIs is a resource efficient approach that could facilitate the creation of additional multi-component interventions to address complex, co-occurring health conditions synergistically. Future research should evaluate the feasibility and utility of COMBINE-EBIs, including where adaptations are needed to maximize utility.
{"title":"COMBINE EBIs: A novel COllaborative Method for Building INterventions from Existing Evidence-Based Interventions","authors":"Justin Knox , Kara Portier , Christopher Magana , Maggie Denning , Christopher M. Ferraris , Emily Dove-Medows , Cho-Hee Shrader , Ohemaa Poku , Phil Kreniske , Robert Remien , Efrat Aharonovich , Jennifer C. Elliott , Denis Nash , Kathryn Lancaster , Till Baernighausen , Kayo Fujimoto , Adam Carrico , John A. Schneider , Alida Bouris , D. Scott Batey , Stefan D. Baral","doi":"10.1016/j.annepidem.2025.10.018","DOIUrl":"10.1016/j.annepidem.2025.10.018","url":null,"abstract":"<div><h3>Purpose</h3><div>Combining evidence-based interventions (EBIs) is a discrete process from adapting EBIs, and specific guidance for how to combine EBIs could be helpful amidst the proliferation of frameworks that combine and stage EBIs and calls for services to be combined or bundled. To address this gap, we developed and applied the <strong>CO</strong>llaborative <strong>M</strong>ethod for <strong>B</strong>uilding <strong>IN</strong>terventions from <strong>E</strong>xisting <strong>E</strong>vidence-<strong>B</strong>ased <strong>I</strong>nterventions (<strong>COMBINE-EBIs</strong>) approach, a five-step process for combining EBIs.</div></div><div><h3>Methods</h3><div>The five steps of COMBINE-EBIs are: (1) Identify and Select EBIs, (2) Develop a Shared Conceptual Model, (3) Evaluate the Conceptual Model, (4) Create a Single Combined Protocol, and (5) Refine through Further Input.</div></div><div><h3>Results</h3><div>We developed and applied the 5-step COMBINE-EBIs process to build a fully refined, pre-tested, combined multi-component intervention that leverages intrinsic social network support and mHealth technology to support people with HIV who drink heavily improve HIV care outcomes and reduce alcohol use.</div></div><div><h3>Conclusions</h3><div>COMBINE-EBIs is a rigorous, systematic and efficient approach for building multi-component, multi-modal interventions to address multiple, co-occurring health behaviors simultaneously. COMBINE-EBIs is a resource efficient approach that could facilitate the creation of additional multi-component interventions to address complex, co-occurring health conditions synergistically. Future research should evaluate the feasibility and utility of COMBINE-EBIs, including where adaptations are needed to maximize utility.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 64-75"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145477352","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}
Pub Date : 2025-12-01Epub Date: 2025-10-30DOI: 10.1016/j.annepidem.2025.10.017
Gum-Ryeong Park Ph.D. , Jinho Kim Ph.D.
Purpose
Acknowledging the importance of subjective financial measures that objective indicators may not be able to fully capture, this study investigates whether and how perceived economic hardship influences self-rated health among women. Specifically, it examines the cumulative effects of perceived economic hardship while exploring variations across different age groups.
Methods
This study analyzed data from the Korean Longitudinal Survey of Women & Families (2006–2022), including 12,800 participants who experienced varying levels of economic hardship. Economic hardship was assessed based on subjective perceptions reported across consecutive survey waves (ranging from 1 wave to over 4 waves), while self-rated health was measured on a five-point scale. To account for unmeasured individual-level heterogeneity, fixed effects models were employed in the analysis.
Results
Prolonged exposure to economic hardship is associated with greater declines in self-rated health, with longer durations of hardship leading to increasingly severe negative impacts. Also, age differences were observed, as older adults experienced significantly larger declines in self-rated health compared to their younger counterparts as the duration of hardship increased.
Conclusion
The findings on the cumulative effects of perceived economic hardship on health underscore the importance of incorporating subjective measures of economic conditions into research and policy discussions.
{"title":"Cumulative exposure to economic hardship and self-rated health among Korean women: An exploration of age heterogeneity","authors":"Gum-Ryeong Park Ph.D. , Jinho Kim Ph.D.","doi":"10.1016/j.annepidem.2025.10.017","DOIUrl":"10.1016/j.annepidem.2025.10.017","url":null,"abstract":"<div><h3>Purpose</h3><div>Acknowledging the importance of subjective financial measures that objective indicators may not be able to fully capture, this study investigates whether and how perceived economic hardship influences self-rated health among women. Specifically, it examines the cumulative effects of perceived economic hardship while exploring variations across different age groups.</div></div><div><h3>Methods</h3><div>This study analyzed data from the Korean Longitudinal Survey of Women & Families (2006–2022), including 12,800 participants who experienced varying levels of economic hardship. Economic hardship was assessed based on subjective perceptions reported across consecutive survey waves (ranging from 1 wave to over 4 waves), while self-rated health was measured on a five-point scale. To account for unmeasured individual-level heterogeneity, fixed effects models were employed in the analysis.</div></div><div><h3>Results</h3><div>Prolonged exposure to economic hardship is associated with greater declines in self-rated health, with longer durations of hardship leading to increasingly severe negative impacts. Also, age differences were observed, as older adults experienced significantly larger declines in self-rated health compared to their younger counterparts as the duration of hardship increased.</div></div><div><h3>Conclusion</h3><div>The findings on the cumulative effects of perceived economic hardship on health underscore the importance of incorporating subjective measures of economic conditions into research and policy discussions.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Pages 46-52"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419391","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}