EpidemiologyPub Date : 2025-01-01Epub Date: 2024-10-22DOI: 10.1097/EDE.0000000000001796
Jacopo Vanoli, Arturo de la Cruz Libardi, Francesco Sera, Massimo Stafoggia, Pierre Masselot, Malcolm N Mistry, Sanjay Rajagopalan, Jennifer K Quint, Chris Fook Sheng Ng, Lina Madaniyazi, Antonio Gasparrini
{"title":"Long-term Associations Between Time-varying Exposure to Ambient PM 2.5 and Mortality: An Analysis of the UK Biobank.","authors":"Jacopo Vanoli, Arturo de la Cruz Libardi, 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 PM 2.5 comes mostly from large administrative studies with incomplete individual information and limited exposure definitions. Here we assess PM 2.5 -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 PM 2.5 concentrations from spatiotemporal 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 PM 2.5 was associated with hazard ratios of 1.27 (95% confidence interval: 1.06, 1.53) for all-cause, 1.24 (1.03, 1.50) for nonaccidental, 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 (hazard ratio = 0.88, 95% confidence interval: 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 PM 2.5 exposure with all-cause, nonaccidental, 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 PM 2.5 and mortality.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":"1-10"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","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}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-09-27DOI: 10.1097/EDE.0000000000001799
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
{"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 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 the 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":" ","pages":"79-87"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11598670/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-10-22DOI: 10.1097/EDE.0000000000001798
Meredith O'Connor, Craig A Olsson, Katherine Lange, Marnie Downes, Margarita Moreno-Betancur, Lisa Mundy, Russell M Viner, Sharon Goldfeld, George Patton, Susan M Sawyer, Steven Hope
{"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 M 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; United Kingdom). Measures included prepandemic 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 a 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% confidence interval [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 the 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":" ","pages":"28-39"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","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}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-09-20DOI: 10.1097/EDE.0000000000001791
Ziqing Wang, Baoyi Shi, Cécile Proust-Lima, Hélène Jacqmin-Gadda, Linda Valeri
{"title":"Multistate approach for stochastic interventions on a time-to-event mediator in the presence of competing risks: A new R command within the CMAverse R package.","authors":"Ziqing Wang, Baoyi Shi, Cécile Proust-Lima, Hélène Jacqmin-Gadda, Linda Valeri","doi":"10.1097/EDE.0000000000001791","DOIUrl":"10.1097/EDE.0000000000001791","url":null,"abstract":"","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":"36 1","pages":"139-140"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715630","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}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-10-08DOI: 10.1097/EDE.0000000000001804
Christiane Didden, Matthias Egger, Naomi Folb, Gary Maartens, Eliane Rohner, Reshma Kassanjee, Cristina Mesa-Vieira, Ayesha Kriel, Soraya Seedat, Andreas D Haas
{"title":"The Contribution of Noncommunicable and Infectious Diseases to the Effect of Depression on Mortality: A Longitudinal Causal Mediation Analysis.","authors":"Christiane Didden, Matthias Egger, Naomi Folb, Gary Maartens, Eliane Rohner, Reshma Kassanjee, Cristina Mesa-Vieira, Ayesha Kriel, Soraya Seedat, Andreas D Haas","doi":"10.1097/EDE.0000000000001804","DOIUrl":"10.1097/EDE.0000000000001804","url":null,"abstract":"<p><strong>Background: </strong>The increased prevalence of physical diseases among individuals with mental illness contributes to their increased risk of mortality. However, the mediating role of specific diseases in the effect of mental illness on mortality is not well understood.</p><p><strong>Method: </strong>We conducted a longitudinal causal mediation analysis using data from beneficiaries of a South African medical insurance scheme from 2011 to 2020. We estimated the overall effect of major depressive disorder (MDD) on mortality and evaluated reductions in this overall effect through hypothetical interventions on the risks of mediating physical diseases using an interventional effects approach. Monte Carlo simulation-based g-computation was used for estimation.</p><p><strong>Results: </strong>Among 981,540 individuals, 143,314 (14.6%) were diagnosed with MDD. Mortality risk after 8 years was 6.5% under MDD, and 5.3% under no MDD (risk ratio 1.23, 95% CI = 1.19, 1.26). Overall, 43.4% of this disparity could be attributed to higher rates of physical comorbidities due to MDD. Cardiovascular diseases accounted for 17.8%, followed by chronic respiratory diseases (8.6%), cancers (7.5%), diabetes and chronic kidney disease (5.8%), tuberculosis (4.3%), and HIV (2.7%).</p><p><strong>Conclusion: </strong>Within the privately insured population of South Africa, MDD is associated with increased mortality. We found that noncommunicable diseases, rather than infectious diseases, are important mediators of the effect of MDD on mortality.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":"36 1","pages":"88-98"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11594557/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142715634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-09-24DOI: 10.1097/EDE.0000000000001789
Salina Tewolde, Ashley Scott, Alianna Higgins, Jasmine Blake, Amy Michals, Matthew P Fox, Yorghos Tripodis, Eric Rubenstein
{"title":"Doubly Marginalized: The Interplay of Racism and Disability in Outcomes for Minoritized People With Down Syndrome.","authors":"Salina Tewolde, Ashley Scott, Alianna Higgins, Jasmine Blake, Amy Michals, Matthew P Fox, Yorghos Tripodis, Eric Rubenstein","doi":"10.1097/EDE.0000000000001789","DOIUrl":"10.1097/EDE.0000000000001789","url":null,"abstract":"<p><strong>Background: </strong>Intersectionality, or the multidimensional influence of social identity and systems of power, may drive increased morbidity and mortality for adults of color with Down syndrome. We documented racial and ethnic differences in death and hospitalizations among Medicaid-enrolled adults with Down syndrome and assessed the interaction of racial-ethnic group and Down syndrome.</p><p><strong>Methods: </strong>Our sample consisted of 119,325 adults with Down syndrome and >3.2 million adults without intellectual disability enrolled in Medicare at any point from 2011 to 2019. We calculated age-adjusted mortality and hospitalization rates by racial-ethnic group among those with Down syndrome. We examined the additive interaction between Down syndrome and racial and ethnic group on mortality and hospitalization rates.</p><p><strong>Results: </strong>Among those with Down syndrome, age-adjusted mortality rate did not differ between Black and White racial groups (rate ratio: 0.96, 95% confidence interval [CI] = 0.92, 1.01), while the mortality rate was lower for Pacific Islanders (0.80), Asian (0.71), Native (0.77), and mixed-race groups (0.50). Hospitalization rates were higher for all marginalized groups compared to the White group. When assessing the interaction between racial-ethnic group and Down syndrome, Black, Native Americans, and mixed-race groups exhibited a negative additive interaction for mortality rate, and all groups except Native Americans exhibited positive additive interaction for hospitalization.</p><p><strong>Conclusions: </strong>Increased hospitalization rates for adults with Down syndrome from marginalized racial and ethnic groups suggest worse health and healthcare. Similar mortality rates across racial and ethnic groups may result from an increased infant mortality rate in marginalized groups with Down syndrome, leading to reduced mortality among those surviving to adulthood.</p>","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":"66-75"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343940","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}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-10-01DOI: 10.1097/EDE.0000000000001802
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
{"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, the 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 study, Cardiovascular Health Study, and Health and Retirement Study. We used data-driven methods to restrict participants to initiators and noninitiators 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 (Atherosclerosis Risk in Communities: HR = 0.30 [0.05, 1.93]; Cardiovascular Health Study: HR = 0.66 [0.27, 1.64]; Health and Retirement Study: HR = 1.09 [0.75, 1.59]). More stringent propensity score restrictions had little effect on findings. Sensitivity analyses using a positive control outcome unexpectedly suggested antihypertensive medication initiation increased the 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":" ","pages":"48-59"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11598662/pdf/","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":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EpidemiologyPub Date : 2025-01-01Epub Date: 2024-11-25DOI: 10.1097/EDE.0000000000001790
Bonnielin K Swenor, Varshini Varadaraj, Franz F Castro
{"title":"The Role of Epidemiology in Addressing Ableism.","authors":"Bonnielin K Swenor, Varshini Varadaraj, Franz F Castro","doi":"10.1097/EDE.0000000000001790","DOIUrl":"10.1097/EDE.0000000000001790","url":null,"abstract":"","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":"76-78"},"PeriodicalIF":4.7,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142343966","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}
EpidemiologyPub Date : 2024-12-17DOI: 10.1097/EDE.0000000000001829
Marco Piccininni, Mats Julius Stensrud
{"title":"Rejoinder: Using negative control populations to assess unmeasured confounding and direct effects.","authors":"Marco Piccininni, Mats Julius Stensrud","doi":"10.1097/EDE.0000000000001829","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001829","url":null,"abstract":"","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834549","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}
EpidemiologyPub Date : 2024-12-17DOI: 10.1097/EDE.0000000000001828
Fernando Pires Hartwig, Neil Martin Davies, George Davey Smith
{"title":"Re. Using Negative Control Populations to Assess Unmeasured Confounding and Direct Effects.","authors":"Fernando Pires Hartwig, Neil Martin Davies, George Davey Smith","doi":"10.1097/EDE.0000000000001828","DOIUrl":"https://doi.org/10.1097/EDE.0000000000001828","url":null,"abstract":"","PeriodicalId":11779,"journal":{"name":"Epidemiology","volume":" ","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142834545","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}