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Validation of actigraphy to assess circadian organization and sleep quality in patients with advanced lung cancer

Journal of Circadian Rhythms 2011年第1期9卷 1-12页

作者： Grutsch, James F. Wood, Patricia A. Du-Quiton, Jovelyn Reynolds, Justin L. Lis, Christopher G. Levin, Robert D. Ann Daehler, Mary Gupta, Digant Quiton, Dinah F.T. Hrushesky, William J.M. Cancer Treatment Centers of America at Midwestern Regional Medical Center Zion IL United States Medical Chronobiological Laboratory Dorn Research Institute WJB Dorn VA Medical Center Columbia SC United States School of Medicine University of South Carolina Columbia SC United States School of Public Health Cancer Prevention and Control Program University of South Carolina Columbia SC United States School of Engineering and Information Technology University of South Carolina Columbia SC United States University of Illinois School of Public Health Chicago IL United States

Background: Many cancer patients report poor sleep quality, despite having adequate time and opportunity for sleep. Satisfying sleep is dependent on a healthy circadian time structure and the circadian patterns among cancer patients are quite abnormal. Wrist actigraphy has been validated with concurrent polysomnography as a reliable tool to objectively measure many standard sleep parameters, as well as daily activity. Actigraphic and subjective sleep data are in agreement when determining activity-sleep patterns and sleep quality/quantity, each of which are severely affected in cancer patients. We investigated the relationship between actigraphic measurement of circadian organization and self-reported subjective sleep quality among patients with advanced lung ***: This cross-sectional and case control study was conducted in 84 patients with advanced non-small cell lung cancer in a hospital setting for the patients at Midwestern Regional Medical Center (MRMC), Zion, IL, USA and home setting for the patients at WJB Dorn Veterans Affairs Medical Center (VAMC), Columbia, SC, USA. Prior to chemotherapy treatment, each patient's sleep-activity cycle was measured by actigraphy over a 4-7 day period and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) ***: The mean age of our patients was 62 years. 65 patients were males while 19 were females. 31 patients had failed prior treatment while 52 were newly diagnosed. Actigraphy and PSQI scores showed significantly disturbed daily sleep-activity cycles and poorer sleep quality in lung cancer patients compared to healthy controls. Nearly all actigraphic parameters strongly correlated with PSQI self-reported sleep quality of inpatients and ***: The correlation of daily activity/sleep time with PSQI-documented sleep indicates that actigraphy can be used as an objective tool and/or to complement subjective assessments of sleep quality in patients with advanced

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Research agenda for black prostate health: issues, challenges and future directions

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Infectious Agents and cancer 2011年第1期6卷 1-1页

作者： Camille CR Ragin Cancer Prevention and Control Program Fox Chase Cancer Center USA

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Altered host immunity, human T lymphotropic virus type I replication, and risk of adult T-cell leukemia/lymphoma: a prospective analysis from the ATL Cohort Consortium

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Retrovirology 2011年第1期8卷 1-2页

作者： Brenda M Birmann Catherine A Suppan Akihiko Okayama Norma Kim Kokichi Arisawa Elizabeth C Breen Anna B F Carneiro-Proietti Kerstin I Falk Barrie Hanchard Manami Inoue Shoichiro Tsugane Otoniel Martínez-Maza Edward L Murphy Ruth M Pfeiffer Michie Hisada Takashi Sawada Sherri O Stuver Hongchuan Li Nancy E Mueller Channing Laboratory Department of Medicine Brigham and Women’s Hospital and Harvard Medical School Boston Massachusetts 02115 USA Department of Rheumatology Infectious Diseases and Laboratory Medicine University of Miyazaki Miyazaki Japan RTI International Rockville Maryland 20852 USA Department of Preventive Medicine Institute of Health Biosciences Tokushima University Tokushima Japan Cousins Center for Psychoneuroimmunology Department of Psychiatry and Biobehavioral Sciences David Geffen School of Medicine at UCLA University of California Los Angeles Los Angeles California 90095 USA Hemominas Foundation Belo Horizonte Minas Gerais Brazil Department of Preparedness Swedish Institute for Communicable Disease Control and MTC Karolinska Institute Stockholm Sweden Department of Pathology University of the West Indies Mona Kingston Jamaica Research Center for Cancer Prevention and Screening National Cancer Center Japan Departments of Obstetrics and Gynecology and Microbiology Immunology and Molecular Genetics David Geffen School of Medicine at UCLA and Department of Epidemiology UCLA School of Public Health University of California Los Angeles Los Angeles California 90095 USA Departments of Laboratory Medicine and Epidemiology/Biostatistics University of California San Francisco and Blood Systems Research Institute San Francisco California 94118 USA Division of Cancer Epidemiology and Genetics National Cancer Institute NIH DHHS Bethesda Maryland 20892 USA Current affiliation: Takeda Global Research and Development Center Inc Deerfield Illinois 60015 USA Department of Clinical Development Oncology Product Creation Unit Eisai Co. Ltd Tokyo Japan Department of Epidemiology Boston University School of Public Health Boston Massachusetts 02118 USA Laboratory of Experimental Immunology Cancer and Inflammation Program Center for Cancer Research National Cancer Institute NIH DHHS Frederick MD 21702 USA Basic Research Program SAIC-Frederick In

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Can we use biomarkers in combination with self-reports to strengthen the analysis of nutritional epidemiologic studies?

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Epidemiologic Perspectives and Innovations 2010年第1期7卷 1-9页

作者： Freedman, Laurence S Kipnis, Victor Schatzkin, Arthur Tasevska, Nataa Potischman, Nancy Biostatistics Unit Gertner Institute for Epidemiology Tel Hashomer 52161 Israel Division of Cancer Prevention National Cancer Institute Bethesda MD 20892-7354 6130 Executive Boulevard EPN-3131 United States Division of Cancer Epidemiology and Genetics National Cancer Institute Bethesda MD 20892-7232 6120 Executive Boulevard EPS-3040 United States Applied Research Program Division of Cancer Control and Population Sciences National Cancer Institute Bethesda MD 20892-7344 6130 Executive Boulevard EPN-4008 United States

Identifying diet-disease relationships in nutritional cohort studies is plagued by the measurement error in self-reported intakes. The authors propose using biomarkers known to be correlated with dietary intake, so as to strengthen analyses of diet-disease hypotheses. The authors consider combining self-reported intakes and biomarker levels using principal components, Howe's method, or a joint statistical test of effects in a bivariate model. They compared the statistical power of these methods with that of conventional univariate analyses of self-reported intake or of biomarker level. They used computer simulation of different disease risk models, with input parameters based on data from the literature on the relationship between lutein intake and age-related macular degeneration. The results showed that if the dietary effect on disease was fully mediated through the biomarker level, then the univariate analysis of the biomarker was the most powerful approach. However, combination methods, particularly principal components and Howe's method, were not greatly inferior in this situation, and were as good as, or better than, univariate biomarker analysis if mediation was only partial or non-existent. In some circumstances sample size requirements were reduced to 20-50% of those required for conventional analyses of self-reported intake. The authors conclude that (i) including biomarker data in addition to the usual dietary data in a cohort could greatly strengthen the investigation of diet-disease relationships, and (ii) when the extent of mediation through the biomarker is unknown, use of principal components or Howe's method appears a good strategy. © 2010 Freedman et al;licensee BioMed Central Ltd.

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Issues in accelerometer methodology: The role of epoch length on estimates of physical activity and relationships with health outcomes in overweight, post-menopausal women

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International Journal of Behavioral Nutrition and Physical Activity 2010年第1期7卷 1-10页

作者： Gabriel, Kelley P. McClain, James J. Schmid, Kendra K. Storti, Kristi L. High, Robin R. Underwood, Darcy A. Kuller, Lewis H. Kriska, Andrea M. Division of Epidemiology and Disease Control University of Texas Health Science Center Austin TX 78701 United States Cancer Prevention Fellowship Program National Cancer Institute Bethesda MD 20852 United States Department of Biostatistics University of Nebraska Medical Center Omaha NE 68198-4375 United States Department of Epidemiology University of Pittsburgh Pittsburgh PA 15261 United States

Background: Current accelerometer technology allows for data collection using brief time sampling intervals (i.e., epochs). The study aims were to examine the role of epoch length on physical activity estimates and subsequent relationships with clinically-meaningful health outcomes in post-menopausal ***: Data was obtained from the Woman On the Move through Activity and Nutrition Study (n = 102). Differences in activity estimates presented as 60s and 10s epochs were evaluated using paired t-tests. Relationships with health outcomes were examined using correlational and regression analyses to evaluate differences by epoch ***: Inactivity, moderate- and vigorous-intensity activity (MVPA) were significantly higher and light-intensity activity was significantly lower (all P < 0.001) when presented as 10s epochs. The correlation between inactivity and self-reported physical activity was stronger with 10s estimates (P < 0.03);however, the regression slopes were not significantly different. Conversely, relationships between MVPA and body weight, BMI, whole body and trunk lean and fat mass, and femoral neck bone mineral density was stronger with 60s estimates (all P < 0.05);however, regression slopes were ***: These findings suggest that although the use of a shorter time sampling interval may suggestively reduce misclassification error of physical activity estimates, associations with health outcomes did not yield strikingly different results. Additional studies are needed to further our understanding of the ways in which epoch length contributes to the ascertainment of physical activity in research *** Registration: Clinical Trials Identifier: NCT00023543. © 2010 Gabriel et al;licensee BioMed Central Ltd.

关键词： Physical Activity Sedentary Time Accelerometer Data Wear Time Physical Activity Data

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Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): Explanation and elaboration

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Journal of Clinical Epidemiology 2011年第8期64卷 e1-e22页

作者： Janssens, A. Cecile J.W. Ioannidis, John P.A. Bedrosian, Sara Boffetta, Paolo Dolan, Siobhan M. Dowling, Nicole Fortier, Isabel Freedman, Andrew N. Grimshaw, Jeremy M. Gulcher, Jeffrey Gwinn, Marta Hlatky, Mark A. Janes, Holly Kraft, Peter Melillo, Stephanie Pencina, Michael J. Ransohoff, David Schully, Sheri D. Seminara, Daniela Winn, Deborah M. Wright, Caroline F. Van Duijn, Cornelia M. Little, Julian Khoury, Muin J. Department of Epidemiology Erasmus University Medical Center 3000 CA Rotterdam PO Box 2040 Netherlands Department of Hygiene and Epidemiology University of Ioannina School of Medicine Ioannina Greece Biomedical Research Institute Foundation for Research and Technology Ioannina Greece Department of Medicine Tufts University School of Medicine Boston MA United States Center for Genetic Epidemiology and Modeling and Tufts CTSI Institute for Clinical Research and Health Policy Studies Tufts Medical Center Boston MA United States Stanford Prevention Research Center Stanford University School of Medicine Stanford CA United States Office of Public Health Genomics Centers for Disease Control and Prevention Atlanta GA United States Tisch Cancer Institute Mount Sinai School of Medicine New York NY United States International Prevention Research Institute Lyon France Department of Obstetrics and Gynecology and Women's Health Albert Einstein College of Medicine Montefiore Medical Center Bronx NY United States Public Population Project in Genomics (P3G) Montreal QC Canada Division of Cancer Control and Population Sciences National Cancer Institute National Institutes of Health Bethesda MD United States Clinical Epidemiology Program Ottawa Hospital Research Institute Ottawa ON Canada Department of Medicine University of Ottawa Ottawa ON Canada DeCODE Genetics Reykjavik Iceland Department of Health Research and Policy Stanford University Palo Alto CA United States Fred Hutchinson Cancer Research Center Vaccine and Infectious Disease Institute Division of Public Health Sciences Seattle WA United States Department of Epidemiology Harvard School of Public Health Boston MA United States National Heart Lung and Blood Institute (NHLBI) NHLBI's Framingham Heart Study Framingham MA United States Cardiology Division Massachusetts General Hospital Harvard Medical School Boston MA United States Department of Biostatistics Boston University Boston MA United S

The rapid and continuing progress in gene discovery for complex diseases is fuelling interest in the potential application of genetic risk models for clinical and public health practice. The number of studies assessing the predictive ability is steadily increasing, but they vary widely in completeness of reporting and apparent quality. Transparent reporting of the strengths and weaknesses of these studies is important to facilitate the accumulation of evidence on genetic risk prediction. A multidisciplinary workshop sponsored by the Human Genome Epidemiology Network developed a checklist of 25 items recommended for strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS), building on the principles established by prior reporting guidelines. These recommendations aim to enhance the transparency, quality and completeness of study reporting, and thereby to improve the synthesis and application of information from multiple studies that might differ in design, conduct or analysis.

关键词： AUC Area Under the receiver operating characteristic Curve CONSORT Consolidated Standard of Reporting Trials dbGaP Database of Genotype and Phenotype EQUATOR Enhancing the QUAlity and Transparency Of health Research GAIN Genetic Association Information Network GRIPS Genetic RIsk Prediction Studies HuGENet Human Genome Epidemiology Network IDI Integrated Discrimination Improvement MeSH Medical Subject Headings REMARK Guidelines for Reporting of tumor MARKer studies SNP single nucleotide polymorphism STARD STAndards for Reporting Diagnostic accuracy STREGA STrenghtening the REporting of Genetic Association studies STROBE Strengthening the Reporting of OBservational studies in Epidemiology

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Intraclass correlation estimates for cancer screening outcomes: Estimates and applications in the design of group-randomized cancer screening studies

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Journal of the National cancer Institute - Monographs 2010年第40期2010卷 97-103页

作者： Hade, Erinn M. Murray, David M. Pennell, Michael L. Rhoda, Dale Paskett, Electra D. Champion, Victoria L. Crabtree, Benjamin F. Dietrich, Allen Dignan, Mark B. Farmer, Melissa Fenton, Joshua J. Flocke, Susan Hiatt, Robert A. Hudson, Shawna V. Mitchell, Michael Monahan, Patrick Shariff-Marco, Salma Slone, Stacey L. Stange, Kurt Stewart, Susan L. Strickland, Pamela A. Ohman Center for Biostatistics The Ohio State University Columbus OH United States Division of Biostatistics College of Public Health The Ohio State University Columbus OH United States Division of Epidemiology College of Public Health The Ohio State University Columbus OH United States Battelle Memorial Institute Columbus OH United States Comprehensive Cancer Center The Ohio State University Columbus OH United States Indiana University Simon Cancer Center Indiana University School of Medicine Indianapolis IN United States The Cancer Institute of New Jersey University of Medicine and Dentistry of New Jersey Robert Wood Johnson Medical School New Brunswick NJ United States Dartmouth-Hitchcock Medical Center Lebanon NH United States University of Kentucky Lexington KY United States Veterans Affairs Greater Los Angeles Health Services Research Development Center of Excellence for the Study of Healthcare Provider Behavior Los Angeles CA United States Department of Health Services School of Public Health University of California Los Angeles Los Angeles CA United States Department of Family and Community Medicine University of California Davis Sacramento CA United States Case Western Reserve University Cleveland OH United States University of California San Francisco San Francisco CA United States Cancer Prevention Fellowship Program Center for Cancer Training Division of Cancer Control and Population Sciences Bethesda MD United States

Background: Screening has become one of our best tools for early detection and prevention of cancer. The group-randomized trial is the most rigorous experimental design for evaluating multilevel interventions. However, identifying the proper sample size for a group-randomized trial requires reliable estimates of intraclass correlation (ICC) for screening outcomes, which are not available to researchers. We present crude and adjusted ICC estimates for cancer screening outcomes for various levels of aggregation (physician, clinic, and county) and provide an example of how these ICC estimates may be used in the design of a future trial. Methods: Investigators working in the area of cancer screening were contacted and asked to provide crude and adjusted ICC estimates using the analysis of variance method estimator. Results: Of the 29 investigators identified, estimates were obtained from 10 investigators who had relevant data. ICC estimates were calculated from 13 different studies, with more than half of the studies collecting information on colorectal screening. In the majority of cases, ICC estimates could be adjusted for age, education, and other demographic characteristics, leading to a reduction in the ICC. ICC estimates varied considerably by cancer site and level of aggregation of the groups. Conclusions: Previously, only two articles had published ICCs for cancer screening outcomes. We have complied more than 130 crude and adjusted ICC estimates covering breast, cervical, colon, and prostate screening and have detailed them by level of aggregation, screening measure, and study characteristics. We have also demonstrated their use in planning a future trial and the need for the evaluation of the proposed interval estimator for binary outcomes under conditions typically seen in GRTs. © The Author 2010. Published by Oxford University Press. All rights reserved.

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cancer Survivorship: Today and Tomorrow

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European Journal of cancer Care 2010年第3期19卷

作者： CAROLYN GOTAY Professor Director Prevention and Control Program Cancer Research Center of Hawaii</br>Honolulu HI USA</br>(e-mail: cgotay@crch.hawaii.edu)

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Erratum to: Survey of familial glioma and role of germline p16 INK4A /p14 ARF and p53 mutation

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Familial cancer 2010年第3期9卷 423-424页

作者： Robertson, Lindsay B. Armstrong, Georgina N. Olver, Bianca D. Lloyd, Amy L. Shete, Sanjay Lau, Ching Claus, Elizabeth B. Barnholtz-Sloan, Jill Lai, Rose Il’yasova, Dora Schildkraut, Joellen Bernstein, Jonine L. Olson, Sara H. Jenkins, Robert B. Yang, Ping Rynearson, Amanda Lynn Wrensch, Margaret McCoy, Lucie Wienkce, John K. McCarthy, Bridget Davis, Faith Vick, Nicholas A. Johansen, Christoffer Bødtcher, Hanne Sadetzki, Siegal Bruchim, Revital Bar-Sade Yechezkel, Galit Hirsh Andersson, Ulrika Melin, Beatrice S. Bondy, Melissa L. Houlston, Richard S. Section of Cancer Genetics Institute of Cancer Research (ICR) Sutton Surrey UK Department of Epidemiology M.D. Anderson Cancer Center (MDACC) The University of Texas Houston USA Baylor College of Medicine Texas Children’s Cancer Center (TCH) Houston USA Department of Epidemiology and Public Health Yale University School of Medicine New Haven USA Department of Neurosurgery Brigham and Women’s Hospital Boston (BW) Boston USA Case Comprehensive Cancer Center Case Western Reserve University School of Medicine Cleveland USA The Neurological Institute of Columbia University New York USA Cancer Control and Prevention Program Department of Community and Family Medicine Duke University Medical Center Durham USA Department of Epidemiology and Biostatistics Memorial Sloan-Kettering Cancer Centre (MSK) New York USA Mayo Comprehensive Clinic Cancer Mayo Clinic Rochester USA Department of Neurological Surgery University of California San Francisco (UCSF) San Francisco USA Division of Epidemiology and Biostatistics University of Illinois at Chicago (UIC) Chicago USA Department of Neurology NorthShore University HealthSystem Evanston USA Institute of Cancer Epidemiology Danish Cancer Society Copenhagen Denmark Cancer and Radiation Epidemiology Unit Gertner Institute Chaim Sheba Medical Center Tel Hashomer Israel Department of Neurosurgery Tel-Aviv Sourasky Medical Center Tel-Aviv Israel Sackler School of Medicine Tel-Aviv University Tel-Aviv Israel Department of Radiation Sciences Oncology Umeå University Umeå Sweden

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Corrigendum to “A novel SNP in a vitamin D response element of the CYP24A1 promoter reduces protein binding, transactivation, and gene expression” [J. Steroid Biochem. Mol. Biol. 112 (2008) 47–54]

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The Journal of Steroid Biochemistry and Molecular Biology 2010年第1-2期118卷 133-133页

作者： Alanna Roff L. Michael Carastro Robin Taylor Wilson Department of Public Health Sciences and Penn State Cancer Institute Cancer Prevention and Control Program Penn State College of Medicine Hershey PA USA Department of Chemistry & Physics College of Natural & Health Sciences The University of Tampa Tampa FL USA

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