Annals of Epidemiology最新文献

{"title":"The American College of Epidemiology Annals of Epidemiology Award, 2025","authors":"","doi":"10.1016/j.annepidem.2025.11.007","DOIUrl":"10.1016/j.annepidem.2025.11.007","url":null,"abstract":"","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"112 ","pages":"Page 127"},"PeriodicalIF":3.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145684557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal trends and source attribution of animal-contact related human nontyphoidal Salmonella enterica outbreaks across the United States, 2009–2022","authors":"Hammad Ur Rehman Bajwa ,&nbsp;Suman Bhowmick ,&nbsp;Csaba Varga","doi":"10.1016/j.annepidem.2025.10.008","DOIUrl":"10.1016/j.annepidem.2025.10.008","url":null,"abstract":"<div><h3>Purpose</h3><div>Previous studies have assessed nontyphoidal <em>Salmonella enterica</em> (NTS) outbreaks associated with animal contact over short periods or single exposures. This study longitudinally evaluates the incidence, temporal trends, and all relevant exposure sources of NTS outbreaks attributed to animal contact in the United States (US) from 2009 to 2022.</div></div><div><h3>Methods</h3><div>Surveillance data on animal-contact-related NTS single-state outbreaks in the US, reported to the Centers for Disease Control and Prevention through the National Outbreak Reporting System between 2009 and 2022, were analyzed. First, yearly and state-specific NTS outbreak incidence rates (IRs) per one million population years (1 MPY) were calculated. Next, join point regression models assessed national and state-specific trends in NTS IRs over the study years. Lastly, the proportion of NTS outbreaks attributed to various animal contact sources was described.</div></div><div><h3>Results</h3><div>During the 14 years, 104 NTS outbreaks were reported (0.02 per 1 MPY). The highest outbreak IRs were observed in 2014 (0.0534 per 1 MPY), 2018 (0.0459), and 2009 (0.0389). The join point regression analysis did not identify a significant trend in the national NTS outbreak IRs; however, several states were identified with increasing and/or decreasing trends. Contact with mammals was the main exposure category (n = 37 outbreaks, 35.58 %), followed by birds (n = 31, 29.81 %) and reptiles (n = 24).</div></div><div><h3>Conclusions</h3><div>Continued public health resources to mitigate the health burden of NTS infections are needed. Differences in state-level NTS outbreak IRs call for focused NTS prevention and control programs.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 168-174"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145253688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Campus climate and intersectional inequities in eating disorders among U.S. college students: A multilevel analysis of individual heterogeneity and discriminatory accuracy","authors":"Ariel L. Beccia ,&nbsp;Vivienne M. Hazzard ,&nbsp;Rachel F. Rodgers ,&nbsp;Dougie Zubizarreta ,&nbsp;Lauren M. Schaefer ,&nbsp;Natasha L. Burke","doi":"10.1016/j.annepidem.2025.09.014","DOIUrl":"10.1016/j.annepidem.2025.09.014","url":null,"abstract":"<div><h3>Purpose</h3><div>To advance understanding of how contextual factors explain eating disorder (ED) inequities among college students, we examined associations between campus climate – i.e., the extent to which a given school is hostile vs. friendly to students of diverse social/cultural backgrounds – and ED prevalence across intersections of gender, sexual, and racialized identity.</div></div><div><h3>Method</h3><div>Cross-sectional data came from 15,544 students at colleges/universities that participated in the 2018/2019 Healthy Minds Study. We conducted a Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) by grouping participants into 35 intersectional social strata defined by gender, sexual, and racialized identity and fitting multilevel models to obtain stratum-specific prevalence estimates of probable EDs across the range of campus climate ratings (1 = “very hostile” to 5 = “very friendly”).</div></div><div><h3>Results</h3><div>Campus climate was inversely associated with probable EDs; specifically, for every 1-unit increase in ratings (i.e., more friendly climates), odds decreased by 8 %. There were differences in the magnitude of this association across strata, such that multiply marginalized students experienced the largest benefits from attending “very friendly” campuses, and especially those who were cisgender women and/or LGBQ+.</div></div><div><h3>Conclusions</h3><div>Results reveal a complex social patterning of EDs among college students across campus climate ratings and provide preliminary evidence suggesting that hostile campus climates may function as a driver of intersectional inequities in this population.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 94-101"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between BMI, body size perception, and dropout from upper secondary education: A prospective cohort study of 15–19-year-old adolescents","authors":"Laura Staxen Bruun ,&nbsp;Cecilie Bladt ,&nbsp;Katrine Strandberg-Larsen ,&nbsp;Vibeke Tornhøj Christensen ,&nbsp;Jane Greve ,&nbsp;Elisabeth Reichel Hansen ,&nbsp;Janne S. Tolstrup","doi":"10.1016/j.annepidem.2025.10.010","DOIUrl":"10.1016/j.annepidem.2025.10.010","url":null,"abstract":"<div><h3>Purpose</h3><div>To examine the independent associations of BMI and body size perception with dropout from upper secondary education.</div></div><div><h3>Methods</h3><div>Data from the Danish National Youth Study 2014, including 63,976 students aged 15–19 years, were linked to information on school dropout from the Student Register. Multilevel logistic regressions were employed to examine how BMI and body size perception were each associated with school dropout. Mediation analyses were conducted to assess the role of body size perception in the BMI-dropout association.</div></div><div><h3>Results</h3><div>Both low and high BMI were associated with higher odds of school dropout, following a U-shaped pattern across the BMI continuum. For instance, females with a BMI above 30 kg/m² had an OR of 2.37 (95 % CI: 1.74;3.27), compared to those with a BMI of 18.5–24.9 kg/m². Adjusting for body size perception, ORs attenuated for students with a BMI above the median. Body size perception mediated a substantial proportion of the BMI-dropout association. Students who perceived themselves as too thin or fat also had higher odds of dropout. For instance, females who perceived themselves as ‘much too fat’ had an OR of 2.66 (95 % CI: 2.17;3.25), compared to those who perceived themselves as ‘about right size’. Adjusting for BMI had only minor impact on ORs.</div></div><div><h3>Conclusion</h3><div>Low and high BMI, as well as the perception of not being the right size, were associated with higher odds of dropout from upper secondary education. Adjusted for body size perception, the association between BMI and dropout attenuated, suggesting that body size perception plays a crucial role in this relationship. Body size perception partly explains the BMI-dropout relationship, highlighting a need for more comprehensive approaches focusing adolescents’ perceptions of their bodies alongside actual weight to reduce school dropout.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 129-137"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “The association of preterm birth and small for gestational age with recurrent multisite musculoskeletal pain during early and middle adulthood — The Northern Finland Birth Cohort 1966 Study” [Ann Epidemiol 111 (2025) 9979]","authors":"Sandra-Sofia Nieminen ,&nbsp;Jaro Karppinen ,&nbsp;Eero Kajantie ,&nbsp;Paulo Ferreira ,&nbsp;Eveliina Heikkala","doi":"10.1016/j.annepidem.2025.09.023","DOIUrl":"10.1016/j.annepidem.2025.09.023","url":null,"abstract":"","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Page 116"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145227783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chronic conditions, disability, and COVID-19 testing and vaccination: A national Rapid Acceleration of Diagnostics‐Underserved Populations analysis","authors":"Haley R. Fonseca ,&nbsp;Elizabeth Lydon ,&nbsp;Troy A. Stefano ,&nbsp;Eileen Fluney ,&nbsp;Lisa Wruck ,&nbsp;Susanna Stevens ,&nbsp;Krista M. Perreira ,&nbsp;David R. Brown ,&nbsp;Wensong Wu ,&nbsp;Marianna K. Baum","doi":"10.1016/j.annepidem.2025.09.019","DOIUrl":"10.1016/j.annepidem.2025.09.019","url":null,"abstract":"<div><h3>Purpose</h3><div>We investigated the impact of chronic conditions on COVID-19 testing, vaccination, and related challenges, with a focus on the interaction effect of disability.</div></div><div><h3>Methods</h3><div>This cross-sectional, cross-consortium analysis was conducted as part of the National Institutes of Health Rapid Acceleration of Diagnostics-Underserved Population (RADx-UP) initiative. Data were self-reported via standardized RADx-UP common data elements. Multivariable generalized estimating equation models with a logit link adjusted for sociodemographic variables, health insurance, health status, housing, and United States region were utilized.</div></div><div><h3>Results</h3><div>Participants were from 28 states (n = 8813), enrolled between February 2021-March 2022 with a mean age of 49 years, 60.4 % female, 30.8 % Hispanic, and 25.5 % Black, non-Hispanic. Over 30 % were living with three or more chronic conditions and 22.1 % reported some type of disability. Odds of COVID-19 testing (aOR:1.95; 95 %CI:1.75, 2.17), vaccination (aOR:1.63; 95 %CI:1.31, 2.03), food insecurity (aOR:1.43; 95 %CI:1.21, 1.68), housing insecurity (aOR:1.42; 95 %CI:1.10, 1.82), healthcare access challenges (aOR:1.60; 95 %CI:1.38, 1.86) and transportation challenges (aOR:1.48; 95 %CI:1.21, 1.81) increased as number of chronic conditions increased. The effect of chronic conditions on probability of COVID-19 testing (p = 0.157) and vaccination (p = 0.147) did not differ by disability, but the effect on probability of experiencing COVID-19-related challenges did differ by disability (p &lt; 0.001). For those with functional and employment disability, the more chronic conditions one had, the more likely they were to experience food insecurity (aOR:1.94; 95 %CI:1.33, 2.82) and issues accessing healthcare (aOR:2.21; 95 %CI:1.19, 4.14) and transportation (aOR:2.33; 95 %CI:1.11, 4.89).</div></div><div><h3>Conclusions</h3><div>Testing and vaccination sites may have been accessible to various populations and/or adults with chronic conditions may have had heightened awareness of potential vulnerability to COVID-19, which could have led to similar testing and vaccination behaviors across different disability statuses. However, disability may still exacerbate daily-life challenges in those living with chronic conditions during public health crises.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 107-115"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145180233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Lung cancer mortality attributable to smoking: a multi-scenario analysis with variable lag periods","authors":"María Isolina Santiago-Pérez ,&nbsp;Carla Guerra-Tort ,&nbsp;Esther López-Vizcaíno ,&nbsp;Lucía Martín-Gisbert ,&nbsp;Ana Teijeiro ,&nbsp;Guadalupe García ,&nbsp;Julia Rey-Brandariz ,&nbsp;Alberto Ruano-Ravina ,&nbsp;Mónica Pérez-Ríos","doi":"10.1016/j.annepidem.2025.10.011","DOIUrl":"10.1016/j.annepidem.2025.10.011","url":null,"abstract":"<div><h3>Purpose</h3><div>The estimation of smoking-attributable mortality (SAM) is subject to the acceptance of different assumptions that may influence the estimates. We aimed to assess lung cancer mortality attributable to smoking by using both a prevalence-independent method (PIM) and a prevalence-dependent method (PDM) with different lags between exposure (smoking prevalence) and outcome (lung cancer mortality).</div></div><div><h3>Methods</h3><div>We estimated the population attributable fractions (PAF) and the lung cancer SAM by sex and age group (35–64, 65–84 years), year-by-year from 2011 to 2020, in four scenarios in Spain. In three of these scenarios, a PDM was applied using different lags: no lag, a 15-year lag and a 20-year lag. In the fourth scenario, a PIM was applied.</div></div><div><h3>Results</h3><div>In the period 2011–2020 in Spain, the SAM was higher when the 20-year lag PDM was considered (173,526 deaths) and lower when no lag PDM or a PIM was applied (161,249 and 157,390 deaths, respectively). In men, the PAFs were similar between the no lag PDM and the PIM (86.7 % and 87.3 %, respectively). However, when a PDM 15-year or 20-year lag was considered, the PAF increased to 91.0 % and 92.3 %, respectively. In women, the lowest PAF was obtained with the PIM (57.3 %), and the highest with the PDM 20-year lag (79.4 %).</div></div><div><h3>Conclusions</h3><div>SAM estimates differ depending on the methods and lags used. Applying a 15-year or 20-year lag PDM yields higher SAM estimates than when no lag PDM or a PIM is used. Therefore, when feasible, smoking prevalence data that incorporate a lag of 15 or 20 years between exposure and result should be used for accurate estimates.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 175-179"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145276519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between adverse childhood experiences and obesity among young US adults","authors":"Kiran Thapa PhD ,&nbsp;Ye Shen PhD ,&nbsp;José F. Cordero MD, MPH ,&nbsp;Emily Anne Vall PhD ,&nbsp;Janani Rajbhandari-Thapa PhD","doi":"10.1016/j.annepidem.2025.09.009","DOIUrl":"10.1016/j.annepidem.2025.09.009","url":null,"abstract":"<div><h3>Purpose</h3><div>We examined whether adverse childhood experiences (ACEs) are associated with obesity in young adulthood, and whether these associations differ by sex.</div></div><div><h3>Methods</h3><div>We used data from the National Longitudinal Study of Adolescent to Adult Health, a nationally representative cohort of U.S. adolescents followed into adulthood (age 33–43 years) across five waves. Our sample included 5193 participants with measured anthropometrics at wave V (2016–18). Modified Poisson regression estimated risk ratios (RR) for general obesity (body mass index ≥ 30 kg/m²) and abdominal obesity (waist circumference &gt;102 cm for males, &gt;88 cm for females) associated with individual and cumulative ACEs, adjusting for baseline BMI, co-occurring ACEs, and sociodemographic covariates. Sex-stratified models assessed heterogeneity in effects.</div></div><div><h3>Results</h3><div>Childhood physical abuse was independently associated with higher risk of general obesity, particularly among females (aRR: 1.23; 95 % CI: 1.05–1.45). Exposure to ≥ 4 ACEs was associated with increased risk of both general (aRR: 1.32; 95 % CI: 1.15–1.52) and abdominal obesity (aRR: 1.18; 95 % CI: 1.02–1.37), independent of childhood obesity.</div></div><div><h3>Conclusions</h3><div>ACEs, especially physical abuse and cumulative exposure, were linked to higher risk of obesity, suggesting that traumatic events may play an important role in young adulthood obesity, especially in females.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 51-57"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Methods for estimating public transit travel times to healthcare services as a measure of equitable healthcare access","authors":"Noah Mancuso ,&nbsp;Patrick S. Sullivan","doi":"10.1016/j.annepidem.2025.09.010","DOIUrl":"10.1016/j.annepidem.2025.09.010","url":null,"abstract":"<div><h3>Purpose</h3><div>To introduce an equity-based method for assessing public transit access to health services and apply it to pre-exposure prophylaxis (PrEP) clinics in metro-Atlanta.</div></div><div><h3>Methods</h3><div>Census block groups (CBGs) were analyzed with PrEP clinics identified via <em>PrEP Locator</em>. One-way public transit times were estimated using the <em>Google Maps Distance Matrix</em> API. CBGs were classified as public transit deserts if transit options were unavailable or if travel time was &gt; 30 min. T-tests compared sociodemographic characteristics of CBGs with and without public transit. Linear regression assessed the association of a 5 % increase in priority populations with transit times.</div></div><div><h3>Results</h3><div>Among 2466 CBGs, one-quarter lacked public transit access to PrEP and two-thirds were transit deserts. Median travel time was 32 min. CBGs with transit access had significantly higher proportions of Black, Hispanic/Latinx, young men (aged 25–34), and residents living below the poverty line (P &lt; .001). Increases in the proportion of Hispanic/Latinx residents, young men, and residents living under the poverty line were associated with shorter transit times, with no association for Black residents.</div></div><div><h3>Conclusions</h3><div>Public transit access to PrEP was low in Atlanta, and overall public transit times were long. Current PrEP locations are aligned with priority populations, but additional work is needed to ensure equity is met for Black and Hispanic/Latinx residents.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 24-29"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145088041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Joint spatial modelling of COVID-19 severity among seniors: A Bayesian shared component approach using health administrative data from Ontario, Canada","authors":"Nushrat Nazia,&nbsp;Charmaine Dean","doi":"10.1016/j.annepidem.2025.10.004","DOIUrl":"10.1016/j.annepidem.2025.10.004","url":null,"abstract":"<div><h3>Purpose</h3><div>Jointly monitoring adverse COVID-19 outcomes among seniors is critical for assessing outbreak severity. These outcomes are often influenced by socioeconomic and demographic conditions and may co-occur in space, indicating shared structural risks that inform targeted responses.</div></div><div><h3>Methods</h3><div>We analyzed severe COVID-19 outcomes among adults aged 65 + in Ontario (January 2020–March 2022) using data from the Ontario Health Data Platform supported by ICES. A Bayesian shared component model with Integrated Nested Laplace Approximation at the forward sortation area level included socioeconomic and demographic covariates.</div></div><div><h3>Results</h3><div>The shared component explained ∼75 % of the total modeled spatial variability. High risks clustered in southern Ontario, while lower risks occurred in central and northern regions. Material deprivation was positively associated with death (RR 1.12, 95 % CrI: 1.04–1.21) and multiple hospitalizations (RR 1.20, 95 % CrI: 1.13–1.29). Racialized/newcomer population concentration was positively associated with death (RR 1.25, 95 % CrI: 1.14–1.38) and with single hospitalizations (RR 1.18, 95 % CrI: 1.11–1.24). The percentage of seniors was inversely associated with hospitalization (RR 0.98, 95 % CrI: 0.96–0.99) but not death.</div></div><div><h3>Conclusions</h3><div>Findings highlight structural inequities in pandemic severity and suggest targeted, equity-oriented strategies in guiding pandemic preparedness and response.</div></div>","PeriodicalId":50767,"journal":{"name":"Annals of Epidemiology","volume":"111 ","pages":"Pages 120-128"},"PeriodicalIF":3.0,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145259979","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}