Epidemiology最新文献

{"title":"Long-term associations between time-varying exposure to ambient PM2.5 and mortality: an analysis of the UK Biobank.","authors":"Jacopo Vanoli, Arturo de la Cruz, Francesco Sera, Massimo Stafoggia, Pierre Masselot, Malcolm N Mistry, Sanjay Rajagopalan, Jennifer K Quint, Chris Fook Sheng Ng, Lina Madaniyazi, Antonio Gasparrini","doi":"10.1097/EDE.0000000000001796","DOIUrl":"10.1097/EDE.0000000000001796","url":null,"abstract":"<p><strong>Background: </strong>Evidence for long-term mortality risks of PM2.5 comes mostly from large administrative studies with incomplete individual information and limited exposure definitions. Here we assess PM2.5-mortality associations in the UK Biobank cohort using detailed information on confounders and exposure.</p><p><strong>Methods: </strong>We reconstructed detailed exposure histories for 498,090 subjects by linking residential data with high-resolution PM2.5 concentrations from spatio-temporal machine learning models. We split the time-to-event data and assigned yearly exposures over a lag window of 8 years. We fitted Cox proportional hazard models with time-varying exposure controlling for contextual and individual-level factors, as well as trends. In secondary analyses, we inspected the lag structure using distributed lag models and compared results with alternative exposure sources and definitions.</p><p><strong>Results: </strong>In fully adjusted models, an increase of 10 μg/m³ in PM2.5 was associated with hazard ratios (HRs) of 1.27 (95%CI: 1.06-1.53) for all-cause, 1.24 (1.03-1.50) for non-accidental, 2.07 (1.04-4.10) for respiratory, and 1.66 (0.86-3.19) for lung cancer mortality. We found no evidence of association with cardiovascular deaths (HR=0.88, 95%CI: 0.59-1.31). We identified strong confounding by both contextual- and individual-level lifestyle factors. The distributed lag analysis suggested differences in relevant exposure windows across mortality causes. Using more informative exposure summaries and sources resulted in higher risk estimates.</p><p><strong>Conclusions: </strong>We found associations of long-term PM2.5 exposure with all-cause, non-accidental, respiratory, and lung cancer mortality, but not with cardiovascular mortality. This study benefits from finely reconstructed time-varying exposures and extensive control for confounding, further supporting a plausible causal link between long-term PM2.5 and mortality.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142460874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progressing \"Positive epidemiology\": A cross-national analysis of adolescents' positive mental health and outcomes during the COVID-19 pandemic.","authors":"Meredith O'Connor, Craig A Olsson, Katherine Lange, Marnie Downes, Margarita Moreno-Betancur, Lisa Mundy, Russell M Viner, Sharon Goldfeld, George Patton, Susan Sawyer, Steven Hope","doi":"10.1097/EDE.0000000000001798","DOIUrl":"10.1097/EDE.0000000000001798","url":null,"abstract":"<p><strong>Purpose: </strong>\"Positive epidemiology\" emphasizes strengths and assets that protect the health of populations. Positive mental health refers to a range of social and emotional capabilities that may support adaptation to challenging circumstances. We examine the role of positive mental health in promoting adolescent health during the crisis phase of the COVID-19 pandemic.</p><p><strong>Methods: </strong>We used four long-running Australian and UK longitudinal cohorts: Childhood to Adolescence Transition Study (CATS; analyzed N=809; Australia); Longitudinal Study of Australian Children (LSAC) - Baby (analyzed N=1,534) and Kindergarten (analyzed N=1,300) cohorts; Millennium Cohort Study (MCS; analyzed N=2,490; UK). Measures included: (Pre-pandemic exposure): Positive mental health (parent-reported, 13-15 years) including regulating emotions, interacting well with peers, and caring for others; and pandemic outcomes: psychological distress, life satisfaction, and sleep and alcohol use outside of recommendations (16-21 years; 2020). We used two-stage meta-analysis to estimate associations between positive mental health and outcomes across cohorts, accounting for potential confounders.</p><p><strong>Results: </strong>Estimates suggest meaningful effects of positive mental health on psychosocial outcomes during the pandemic, including lower risk of psychological distress (Risk Ratio [RR]=0.83 95%CI=0.71, 0.97) and higher life satisfaction (RR=1.1, 95%CI=1.0, 1.2). The estimated effects for health behaviors were smaller in magnitude (sleep: RR=0.95, 95%CI=0.86, 1.1; alcohol use: RR=0.97, 95%CI=0.85, 1.1).</p><p><strong>Conclusions: </strong>Our results are consistent with the hypothesis that adolescents' positive mental health supports better psychosocial outcomes during challenges such as the COVID-19 pandemic, but relevance for health behaviors is less clear. These findings reinforce the value of extending evidence to include positive health states and assets.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142460885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ZIP Code and ZIP Code Tabulation Area Linkage: Implications for Bias in Epidemiologic Research.","authors":"Futu Chen, Beau MacDonald, Yan Xu, Wilma Franco, Alberto Campos, Lawrence A Palinkas, Jill Johnston, Sandrah P Eckel, Erika Garcia","doi":"10.1097/EDE.0000000000001800","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001800","url":null,"abstract":"<p><strong>Background: </strong>To our knowledge, no agreed-upon best practices exist for joining U.S. Census ZIP Code Tabulation Areas (ZCTAs) and U.S. Postal Service ZIP Codes (ZIPs). One-to-one linkage using 5-digit ZCTA identifiers excludes ZIPs without direct matches. \"Crosswalk\" linkage may match a ZCTA to multiple ZIPs, avoiding losses.</p><p><strong>Methods: </strong>We compared non-crosswalk and crosswalk linkages nationally and for mortality and health insurance in California. To elucidate selection implications, generalized additive models related sociodemographics to whether ZCTAs contained non-matching ZIPs.</p><p><strong>Results: </strong>Nationwide, 15% of ZCTAs had non-matching ZIPs, i.e., ZIPs dropped under non-crosswalk linkage. ZCTAs with non-matching ZIPs were positively associated with metropolitan core location, lower socioeconomics, and non-white population. In California, 34% of ZIPs in the mortality and 25% in the health insurance data had ZCTAs with non-matching ZIPs; however, these ZIPs constitute only 0.03% of total mortality and 0.44% of total insurance enrollees.</p><p><strong>Conclusions: </strong>Our study findings support the use of crosswalk linkages and ZCTAs as a unit of analysis. One-to-one linkage may cause bias by differentially excluding ZIPs with more disadvantaged populations, although affected population sizes appear small.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142364902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Target trial emulation using cohort studies: estimating the effect of antihypertensive medication initiation on incident dementia.","authors":"Erin E Bennett, Chelsea Liu, Emma K Stapp, Kan Z Gianattasio, Scott C Zimmerman, Jingkai Wei, Michael E Griswold, Annette L Fitzpatrick, Rebecca F Gottesman, Lenore J Launer, B Gwen Windham, Deborah A Levine, Alison E Fohner, M Maria Glymour, Melinda C Power","doi":"10.1097/EDE.0000000000001802","DOIUrl":"10.1097/EDE.0000000000001802","url":null,"abstract":"<p><strong>Background: </strong>Observational studies link high midlife systolic blood pressure to increased dementia risk. However, synthesis of evidence from randomized controlled trials has not definitively demonstrated that antihypertensive medication use reduces dementia risk. Here, we emulate target trials of antihypertensive medication initiation on incident dementia using three cohort studies, with attention to potential violations of necessary assumptions.</p><p><strong>Methods: </strong>We emulated trials of antihypertensive medication initiation on incident dementia using data from the Atherosclerosis Risk in Communities (ARIC) study, Cardiovascular Health Study (CHS), and Health and Retirement Study (HRS). We used data-driven methods to restrict participants to initiators and non-initiators with overlap in propensity scores and positive control outcomes to look for violations of positivity and exchangeability assumptions.</p><p><strong>Results: </strong>Analyses were limited by the small number of cohort participants who met eligibility criteria. Associations between antihypertensive medication initiation and incident dementia were inconsistent and imprecise (ARIC: HR = 0.30 [0.05, 1.93]; CHS: HR = 0.66 [0.27, 1.64]; HRS: HR = 1.09 [0.75, 1.59]). More stringent propensity score restriction had little effect on findings. Sensitivity analyses using a positive control outcome unexpectedly suggested antihypertensive medication initiation increased risk of coronary heart disease in all three samples.</p><p><strong>Conclusions: </strong>Positive control outcome analyses suggested substantial residual confounding in effect estimates from our target trials, precluding conclusions about the impact of antihypertensive medication initiation on dementia risk through target trial emulation. Formalized processes for identifying violations of necessary assumptions will strengthen confidence in target trial emulation and avoid inappropriate confidence in emulated trial results.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142364901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial Data Aggregation Methods for Novel Geographies: Validating Congressional District Life Expectancy Estimates.","authors":"Alina Schnake-Mahl, Giancarlo Anfuso, Stephanie M Hernandez, Usama Bilal","doi":"10.1097/EDE.0000000000001797","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001797","url":null,"abstract":"<p><strong>Background: </strong>Place is a critical determinant of health. Recent novel analyses have explored health outcome estimation for small geographies, such as census tracts, as well as health outcome aggregation to geopolitical geographies with accountable political representatives, such as congressional districts. In one such application, combining these approaches, researchers aggregated census tract estimates of life expectancy to the congressional district level to derive local estimates, but such an approach has not been validated.</p><p><strong>Methods: </strong>Here, we compared two sources and approaches to calculating life expectancy data for Pennsylvania congressional districts. We used 2010-2015 census tract life expectancy estimates from the US Small-area Life Expectancy Estimates Project (LEEP) and dasymetric methods to compute population-weighted life expectancy aggregated to the congressional district level. Using georeferenced Vital Statistics data, we aggregated age-specific census tract death and population counts to congressional districts and used abridged life tables to estimate life expectancy. To validate the dasymetric aggregated estimates we compared absolute differences, assessed the correlation, and created Bland-Altman plots to visualize the agreement between the two measures.</p><p><strong>Results: </strong>We found strong agreement between congressional district estimates of life expectancy at birth derived using the dasymetric LEEP model-based approach and Vital Statistics direct estimates approach, though life expectancy at older ages (75 and older) showed weak correlations.</p><p><strong>Conclusion: </strong>This validation contributes to our understanding of geospatial aggregation methods for novel geographies including congressional districts. Health outcome data aggregated to the congressional district geography can support congressional policy making aimed at improving population health outcomes.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State Schooling Policies and Cognitive Performance Trajectories: A Natural Experiment in a National US Cohort of Black and White Adults.","authors":"Min Hee Kim, Sze Yan Liu, Willa D Brenowitz, Audrey R Murchland, Thu T Nguyen, Jennifer J Manly, Virginia J Howard, Marilyn D Thomas, Tanisha Hill-Jarrett, Michael Crowe, Charles F Murchison, M Maria Glymour","doi":"10.1097/EDE.0000000000001799","DOIUrl":"10.1097/EDE.0000000000001799","url":null,"abstract":"<p><strong>Background: </strong>Education is strongly associated with cognitive outcomes at older ages, yet the extent to which these associations reflect causal effects remains uncertain due to potential confounding.</p><p><strong>Methods: </strong>Leveraging changes in historical measures of state-level education policies as natural experiments, we estimated the effects of educational attainment on cognitive performance over 10 years in 20,248 non-Hispanic Black and non-Hispanic White participants, aged 45+ in the REasons for Geographic and Racial Disparities in Stroke (REGARDS) cohort (2003-2020) by (1) using state- and year- specific compulsory schooling laws, school-term length, attendance rate, and student-teacher ratio policies to predict educational attainment for US Census microsample data from 1980 and 1990, and (2) applying policy-predicted years of education (PPYEd) to predict memory, verbal fluency, and a cognitive composite. We estimated overall and race- and sex-specific effects of PPYEd on level and change in each cognitive outcome using random intercept and slope models, adjusting for age, year of first cognitive assessment, and indicators for state of residence at age 6.</p><p><strong>Results: </strong>Each year of PPYEd was associated with higher baseline cognition (0.11 standard deviation [SD] increase in composite measure for each year of PPYEd, 95% confidence interval [CI]: 0.07, 0.15). Subanalyses focusing on individual cognitive domains estimate the largest effects of PPYEd on memory. PPYEd was not associated with rate of change in cognitive scores. Estimates were similar across Black and White participants and across sex.</p><p><strong>Conclusions: </strong>Historical policies shaping educational attainment are associated with better later life memory, a major determinant of dementia risk.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interactive effects of long-term exposure to air pollutants on SARS-CoV-2 infection and severity: a northern Italian population-based cohort study.","authors":"Giovanni Veronesi, Sara De Matteis, Camillo Silibello, Emanuele M Giusti, Walter Ageno, Marco M Ferrario","doi":"10.1097/EDE.0000000000001792","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001792","url":null,"abstract":"<p><strong>Background: </strong>We examined interactions, to our knowledge not yet explored, between long-term exposures to particulate matter (PM 10 ) with nitrogen dioxide (NO 2 ) and ozone (O 3 ) on SARS-CoV-2 infectivity and severity.</p><p><strong>Methods: </strong>We followed 709,864 adult residents of Varese Province from 1 February 2020 until the first positive test, COVID-19 hospitalization, or death, up to 31 December 2020. We estimated residential annual means of PM 10 , NO 2 and O 3 in 2019 from chemical-transport and random-forest models. We estimated interactive effects of pollutants with urbanicity on SARS-CoV-2 infectivity, hospitalization, and mortality endpoints using Cox regression models adjusted for socio-demographic factors and comorbidities, and additional cases due to interactions using Poisson models.</p><p><strong>Results: </strong>41,065 individuals were infected, 5,203 were hospitalized and 1,543 died from COVID-19 during follow-up. Mean PM 10 was 1.6 times higher and NO 2 2.6 times higher than WHO limits, with wide gradients between urban and non-urban areas. PM 10 and NO 2 were positively associated with SARS-CoV-2 infectivity and mortality, and PM 10 with hospitalizations in urban areas. Interaction analyses estimated that the effect of PM 10 (per 3.5 µg/m 3 ) on infectivity was strongest in urban areas (HR=1.12, 95%CI:1.09-1.16), corresponding to 854 additional cases per 100,000 person-years, and in areas at high NO 2 co-exposure (HR=1.15, 1.08-1.22). At higher levels of PM 10 co-exposure the protective association of ozone reversed (HR=1.32, 1.17-1.49), yielding to 278 additional cases per µg/m 3 increase in O 3 . We estimated similar interactive effects for severity endpoints.</p><p><strong>Conclusions: </strong>We estimate that interactive effects between pollutants exacerbated the burden of SARS-CoV-2 pandemic in urban areas.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential of a second screening test for alloimmunization in pregnancies of Rhesus-positive women: a Swedish population- based cohort study.","authors":"Nishan Lamichhane, Shengxin Liu, Agneta Wikman, Marie Reilly","doi":"10.1097/EDE.0000000000001794","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001794","url":null,"abstract":"<p><strong>Introduction: </strong>There is lack of consensus regarding whether a second screening in Rhesus-positive pregnant women is worthwhile, with different guidelines, recommendations, and practices. We aimed to estimate the number and timing of missed alloimmunizations in Rhesus-positive pregnancies screened once and weigh the relative burden of additional screening and monitoring versus the estimated reduction in adverse pregnancy outcomes.</p><p><strong>Methods: </strong>We extracted information on maternal, pregnancy, and screening results for 682,126 pregnancies for 2003-2012 from Swedish national registers. We used data from counties with a routine second screening to develop and validate a logistic model for a positive second test after an earlier negative. We used this model to predict the number of missed alloimmunizations in counties offering only one screening. Interval-censored survival analysis identified an optimal time window for a second test. We compared the burden of additional screening with estimated adverse pregnancy outcomes avoided.</p><p><strong>Results: </strong>The model provided an accurate estimate of positive tests at second screening. For counties with the lowest screening rates, we estimated that a second screening would increase the alloimmunization prevalence by 33% (from 0.19% to 0.25%), detecting the 25% (304/1222) of cases that are currently missed. The suggested timing of a second screen was gestational week 28.For pregnancies currently screened once, the estimated cost of a second test followed by maternal monitoring was approximately 10% the cost incurred by the excess adverse pregnancy outcomes.</p><p><strong>Conclusion: </strong>Investment in routine second screening can identify many alloimmunizations that currently go undetected or are detected late, with the potential for cost savings.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using Limited Trial Evidence to Credibly Choose Treatment Dosage when Efficacy and Adverse Effects Weakly Increase with Dose.","authors":"Charles F Manski","doi":"10.1097/EDE.0000000000001793","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001793","url":null,"abstract":"<p><p>It has become standard in medical treatment to base dosage on evidence in randomized trials. Yet it has been rare to study how outcomes vary with dosage. In trials to obtain drug approval, the norm has been to compare some dose of a new drug with an established therapy or placebo. Standard trial analysis views each trial arm as qualitatively different, but it may be credible to assume that efficacy and adverse effects weakly increase with dosage. Optimization of patient care requires joint attention to both, as well as to treatment cost. This paper develops methodology to use limited trial evidence to choose dosage when efficacy and adverse effects weakly increase with dose. I suppose that dosage is an integer t ∊ (0,1, . ,T), T being a specified maximum dose. I study dosage choice when trial evidence on outcomes is available for only K dose levels, where K < T+1. Then the population distribution of dose response is partially identified. I show that the identification region is a convex polygon. I characterize clinical and population decision making using the minimax-regret criterion. A simple analytical solution exists when T = 2. Computation is tractable when T is larger.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterization of additive gene-environment interactions for colorectal cancer risk.","authors":"Claire E Thomas, Yi Lin, Michelle Kim, Eric S Kawaguchi, Conghui Qu, Caroline Y Um, Brigid M Lynch, Bethany Van Guelpen, Kostas Tsilidis, Robert Carreras-Torres, Franzel Jb van Duijnhoven, Lori C Sakoda, Peter T Campbell, Yu Tian, Jenny Chang-Claude, Stéphane Bézieau, Arif Budiarto, Julie R Palmer, Polly A Newcomb, Graham Casey, Loic Le Marchand, Marios Giannakis, Christopher I Li, Andrea Gsur, Christina Newton, Mireia Obón-Santacana, Victor Moreno, Pavel Vodicka, Hermann Brenner, Michael Hoffmeister, Andrew J Pellatt, Robert E Schoen, Niki Dimou, Neil Murphy, Marc J Gunter, Sergi Castellví-Bel, Jane C Figueiredo, Andrew T Chan, Mingyang Song, Li Li, D Timothy Bishop, Stephen B Gruber, James W Baurley, Stephanie A Bien, David V Conti, Jeroen R Huyghe, Anshul Kundaje, Yu-Ru Su, Jun Wang, Temitope O Keku, Michael O Woods, Sonja I Berndt, Stephen J Chanock, Catherine M Tangen, Alicja Wolk, Andrea Burnett-Hartman, Anna H Wu, Emily White, Matthew A Devall, Virginia Díez-Obrero, David A Drew, Edward Giovannucci, Akihisa Hidaka, Andre E Kim, Juan Pablo Lewinger, John Morrison, Jennifer Ose, Nikos Papadimitriou, Bens Pardamean, Anita R Peoples, Edward A Ruiz-Narvaez, Anna Shcherbina, Mariana C Stern, Xuechen Chen, Duncan C Thomas, Elizabeth A Platz, W James Gauderman, Ulrike Peters, Li Hsu","doi":"10.1097/EDE.0000000000001795","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001795","url":null,"abstract":"<p><strong>Background: </strong>Colorectal cancer (CRC) is a common, fatal cancer. Identifying subgroups who may benefit more from intervention is of critical public health importance. Previous studies have assessed multiplicative interaction between genetic risk scores and environmental factors, but few have assessed additive interaction, the relevant public health measure.</p><p><strong>Methods: </strong>Using resources from colorectal cancer consortia including 45,247 CRC cases and 52,671 controls, we assessed multiplicative and additive interaction (relative excess risk due to interaction, RERI) using logistic regression between 13 harmonized environmental factors and genetic risk score including 141 variants associated with CRC risk.</p><p><strong>Results: </strong>There was no evidence of multiplicative interaction between environmental factors and genetic risk score. There was additive interaction where, for individuals with high genetic susceptibility, either heavy drinking [RERI = 0.24, 95% confidence interval, CI, (0.13, 0.36)], ever smoking [0.11 (0.05, 0.16)], high BMI [female 0.09 (0.05, 0.13), male 0.10 (0.05, 0.14)], or high red meat intake [highest versus lowest quartile 0.18 (0.09, 0.27)] was associated with excess CRC risk greater than that for individuals with average genetic susceptibility. Conversely, we estimate those with high genetic susceptibility may benefit more from reducing CRC risk with aspirin/NSAID use [-0.16 (-0.20, -0.11)] or higher intake of fruit, fiber, or calcium [highest quartile versus lowest quartile -0.12 (-0.18, -0.050); -0.16 (-0.23, -0.09); -0.11 (-0.18, -0.05), respectively] than those with average genetic susceptibility.</p><p><strong>Conclusions: </strong>Additive interaction is important to assess for identifying subgroups who may benefit from intervention. The subgroups identified in this study may help inform precision CRC prevention.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":null,"pages":null},"PeriodicalIF":4.7,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}