Nudging lifestyles for better health outcomes: crowdsourced data and persuasive technologies for behavioural change

[1]  Richard Grabowski,et al.  How effective is public health expenditure in improving overall health? A cross–country analysis , 2003 .

[2]  Nikola Kasabov,et al.  Evolving Connectionist Systems: The Knowledge Engineering Approach , 2007 .

[3]  M. de Lorgeril,et al.  Mediterranean diet, traditional risk factors, and the rate of cardiovascular complications after myocardial infarction: final report of the Lyon Diet Heart Study. , 1999, Circulation.

[4]  David Osimo Web 2.0 in Government: Why and How? , 2008 .

[5]  Anne E. Trefethen,et al.  Cyberinfrastructure for e-Science , 2005, Science.

[6]  Charles M. Bishop,et al.  Variational Message Passing , 2005, J. Mach. Learn. Res..

[7]  Eric K. Neumann,et al.  A Life Science Semantic Web: Are We There Yet? , 2005, Science's STKE.

[8]  Ben Shneiderman,et al.  Aligning temporal data by sentinel events: discovering patterns in electronic health records , 2008, CHI.

[9]  R. Kurzweil,et al.  The Singularity Is Near: When Humans Transcend Biology , 2006 .

[10]  David Osimo,et al.  Science 2.0 (change will happen....) , 2010, First Monday.

[11]  L. S. Lieberman Dietary, evolutionary, and modernizing influences on the prevalence of type 2 diabetes. , 2003, Annual review of nutrition.

[12]  L. Trasande How much should we invest in preventing childhood obesity? , 2010, Health affairs.

[13]  J. Homer,et al.  Understanding diabetes population dynamics through simulation modeling and experimentation. , 2006, American journal of public health.

[14]  A. Astrup,et al.  Redefining Type 2 diabetes: ‘Diabesity’ or ‘Obesity Dependent Diabetes Mellitus’? , 2000, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[15]  Liette Lapointe,et al.  The IT productivity paradox in health: A stakeholder's perspective , 2011, Int. J. Medical Informatics.

[16]  Nir Menachemi,et al.  Reviewing the Benefits and Costs of Electronic Health Records and Associated Patient Safety Technologies , 2006, Journal of Medical Systems.

[17]  David W. McDonald,et al.  Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays , 2008, UbiComp.

[18]  R J Ozminkowski,et al.  Getting Closer to the Truth: Overcoming Research Challenges When Estimating the Financial Impact of Worksite Health Promotion Programs , 2001, American journal of health promotion : AJHP.

[19]  Ramakrishnan Srikant,et al.  Privacy-preserving data mining , 2000, SIGMOD '00.

[20]  Mark S. Granovetter The Strength of Weak Ties , 1973, American Journal of Sociology.

[21]  W. Howard,et al.  Statins, High-Density Lipoprotein Cholesterol, and Regression of Coronary Atherosclerosis , 2008 .

[22]  E. Ravussin,et al.  Estimating the effects of energy imbalance on changes in body weight in children. , 2006, The American journal of clinical nutrition.

[23]  J. Powell,et al.  Electronic Health Records Should Support Clinical Research , 2005, Journal of medical Internet research.

[24]  Christopher M. Bishop,et al.  Pattern Recognition and Machine Learning (Information Science and Statistics) , 2006 .

[25]  Ronald J Ozminkowski,et al.  Long-Term Impact of Johnson & Johnson’s Health & Wellness Program on Health Care Utilization and Expenditures , 2002, Journal of occupational and environmental medicine.

[26]  Anthony J. G. Hey,et al.  Jim Gray on eScience: a transformed scientific method , 2009, The Fourth Paradigm.

[27]  F. Stanley,et al.  Synergy Between Adiposity, Insulin Resistance, Metabolic Risk Factors, and Inflammation in Adolescents , 2009, Diabetes Care.

[28]  T. Lobstein,et al.  Evidence of a possible link between obesogenic food advertising and child overweight , 2005, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[29]  Radford M. Neal Pattern Recognition and Machine Learning , 2007, Technometrics.

[30]  C. Delpierre,et al.  A systematic review of computer-based patient record systems and quality of care: more randomized clinical trials or a broader approach? , 2004, International journal for quality in health care : journal of the International Society for Quality in Health Care.

[31]  J. Shaw,et al.  Global and societal implications of the diabetes epidemic , 2001, Nature.

[32]  R. Nolan,et al.  Information technology and the board of directors. , 2005, Harvard business review.

[33]  R. Krauss,et al.  Is there a simple way to identify insulin-resistant individuals at increased risk of cardiovascular disease? , 2005, The American journal of cardiology.

[34]  John Metcalfe,et al.  Mapping evolutionary trajectories: Applications to the growth and transformation of medical knowledge , 2007 .

[35]  James A. Hendler,et al.  Semantic escience: encoding meaning in next-generation digitally enhanced science , 2009, The Fourth Paradigm.

[36]  D. Edington,et al.  Association of Health Risks With the Cost of Time Away From Work , 2002, Journal of occupational and environmental medicine.

[37]  J. Cawley,et al.  The economics of childhood obesity. , 2010, Health affairs.

[38]  J. Shield,et al.  Type 2 diabetes in obese white children , 2002, Archives of disease in childhood.

[39]  Latanya Sweeney,et al.  Achieving k-Anonymity Privacy Protection Using Generalization and Suppression , 2002, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

[40]  P. Barter Managing diabetic dyslipidaemia--beyond LDL-C:HDL-C and triglycerides. , 2006, Atherosclerosis. Supplements.

[41]  T. L. Williams,et al.  Systematic review of cost effectiveness studies of telemedicine interventions , 2002, BMJ : British Medical Journal.

[42]  R. Ozminkowski,et al.  Response from the Authors: The Value of ROI Research , 1999, American journal of health promotion : AJHP.

[43]  L. Amaral,et al.  The web of human sexual contacts , 2001, Nature.

[44]  I. Bourdel-Marchasson,et al.  Insulin resistance, diabetes and cognitive function: consequences for preventative strategies. , 2010, Diabetes & metabolism.

[45]  Dahlia Remler,et al.  Information and Communications Technology in Chronic Disease Care: Why is Adoption so Slow and is Slower Better? , 2007 .

[46]  Nikola K. Kasabov,et al.  Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue , 2003, Artif. Intell. Medicine.

[47]  Lorin M. Hitt,et al.  Beyond the productivity paradox , 1998, CACM.

[48]  J. Reilly Descriptive epidemiology and health consequences of childhood obesity. , 2005, Best practice & research. Clinical endocrinology & metabolism.

[49]  T. McLaughlin,et al.  Beyond type 2 diabetes: the need for a clinically useful way to identify insulin resistance. , 2003, The American journal of medicine.

[50]  R. Dunn,et al.  A Return on Investment Evaluation of the Citibank, N.A., Health Management Program , 1999, American journal of health promotion : AJHP.

[51]  N. Christakis,et al.  SUPPLEMENTARY ONLINE MATERIAL FOR: The Collective Dynamics of Smoking in a Large Social Network , 2022 .

[52]  A. Farooki Central obesity and increased risk of dementia more than three decades later. , 2009, Neurology.

[53]  A. Swedlund Diabetes As a Disease of Civilization: The Impact of Culture Change on Indigenous Peoples , 1997 .

[54]  A. Mokdad,et al.  Trends in Risk Factors for Cardiovascular Disease Among Children and Adolescents in the United States , 2004, Pediatrics.

[55]  P. Ouellette,et al.  Health care spending as determinants of health outcomes. , 1999, Health economics.

[56]  Tracey McLaughlin,et al.  Use of Metabolic Markers To Identify Overweight Individuals Who Are Insulin Resistant , 2003, Annals of Internal Medicine.

[57]  Tim Lobstein,et al.  Estimated burden of paediatric obesity and co-morbidities in Europe. Part 1. The increase in the prevalence of child obesity in Europe is itself increasing. , 2006, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[58]  B. Popkin,et al.  Nutrition in transition: the changing global nutrition challenge. , 2001, Asia Pacific journal of clinical nutrition.

[59]  J. Cawley The Impact of Obesity on Wages , 2004, The Journal of Human Resources.

[60]  R. Goetzel,et al.  Estimating Risk Reduction Required to Break Even in a Health Promotion Program , 2004, American journal of health promotion : AJHP.

[61]  S. Aldana Financial Impact of Health Promotion Programs: A Comprehensive Review of the Literature , 2001, American journal of health promotion : AJHP.

[62]  B. Swinburn,et al.  The cost-effectiveness of removing television advertising of high-fat and/or high-sugar food and beverages to Australian children , 2009, International Journal of Obesity.

[63]  Robin P. Cubitt,et al.  Experimental Economics: Rethinking the Rules , 2009 .

[64]  K. Thorpe The rise in health care spending and what to do about it. , 2005, Health affairs.

[65]  S. T. Callahan,et al.  Type 2 diabetes mellitus in adolescents. , 2000, Current opinion in pediatrics.

[66]  S. Goldhaber,et al.  Role of Computerized Physician Order Entry Systems in Facilitating Medication Errors , 2005 .

[67]  R. Uauy,et al.  Obesity in children and young people: a crisis in public health. , 2004, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[68]  ETA S. BERNER Viewpoint Paper: Implementation Challenges for Clinical and Research Information Systems: Recommendations from the 2007 Winter Symposium of the American College of Medical Informatics , 2008, J. Am. Medical Informatics Assoc..

[69]  B. Popkin,et al.  The nutrition transition and obesity in the developing world. , 2001, The Journal of nutrition.

[70]  Christopher M. Bishop,et al.  The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .

[71]  S. Shoor,et al.  Risk of acute myocardial infarction and sudden cardiac death in patients treated with cyclo-oxygenase 2 selective and non-selective non-steroidal anti-inflammatory drugs: nested case-control study , 2005, The Lancet.

[72]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005 .

[73]  Samuel Kaski,et al.  Simple integrative preprocessing preserves what is shared in data sources , 2008, BMC Bioinformatics.

[74]  David W. Bates,et al.  Review Paper: What Evidence Supports the Use of Computerized Alerts and Prompts to Improve Clinicians' Prescribing Behavior? , 2009, J. Am. Medical Informatics Assoc..

[75]  Paolo Pelaia,et al.  The Impact of a Clinical Information System in an Intensive Care Unit , 2008, Journal of Clinical Monitoring and Computing.

[76]  J. Skyler,et al.  Diabetes trends in the USA , 2002, Diabetes/metabolism research and reviews.

[77]  Z. Or Exploring the effects of health care on mortality across OECD countries , 2000 .

[78]  D. Kahneman,et al.  Well-being : the foundations of hedonic psychology , 1999 .

[79]  R. Goetzel,et al.  Estimating the Return-on-Investment From Changes in Employee Health Risks on The Dow Chemical Company's Health Care Costs , 2005, Journal of occupational and environmental medicine.

[80]  M. Kogan,et al.  Neighborhood socioeconomic conditions, built environments, and childhood obesity. , 2010, Health affairs.

[81]  S. Allender,et al.  European cardiovascular disease statistics , 2008 .

[82]  Hiroshi Shimizu,et al.  Data preprocessing and output evaluation of an autoassociative neural network model for online fault detection in virginiamycin production. , 2002, Journal of bioscience and bioengineering.

[83]  Alexandre Padilla Review of Richard H. Thaler and Cass R. Sunstein, Nudge: Improving decisions about health, wealth, and happiness , 2009 .

[84]  S. Aldana,et al.  Health Promotion Programs, Modifiable Health Risks, and Employee Absenteeism , 2001, Journal of occupational and environmental medicine.

[85]  J. Richardson,et al.  Linking microsimulation and macro-economic models to estimate the economic impact of chronic disease prevention , 2009 .

[86]  Usefulness of plasma glucose and insulin concentrations in identifying patients with insulin resistance. , 2003, The American journal of cardiology.

[87]  K. Narayan,et al.  Type 2 diabetes in children , 2001, BMJ : British Medical Journal.

[88]  J. Shinogle,et al.  What is the Economic Cost of Overweight Children , 2006 .

[89]  M. Engelgau,et al.  Diabetes trends in the U.S.: 1990-1998. , 2000, Diabetes care.

[90]  W. Kannel,et al.  High-density lipoproteins: epidemiologic profile and risks of coronary artery disease. , 1983, The American journal of cardiology.

[91]  S. Shortell,et al.  Implementation of electronic medical records in hospitals: two case studies. , 2007, Health policy.

[92]  E. B. Andersen,et al.  Information Science and Statistics , 1986 .

[93]  John Nixon,et al.  The relationship between health care expenditure and health outcomes , 2006, The European Journal of Health Economics.

[94]  David C. Classen,et al.  Viewpoint Paper: The Informatics Opportunities at the Intersection of Patient Safety and Clinical Informatics , 2008, J. Am. Medical Informatics Assoc..

[95]  Curtis Wong,et al.  Bringing the night sky closer: discoveries in the data deluge , 2009, The Fourth Paradigm.

[96]  J. P. Kichak,et al.  Computerized physician order entry: helpful or harmful? , 2003, Journal of the American Medical Informatics Association : JAMIA.

[97]  K. Thorpe Factors accounting for the rise in health-care spending in the United States: the role of rising disease prevalence and treatment intensity. , 2006, Public health.

[98]  J. Sidorov It Ain't Necessarily So: The Electronic Health Record And The Unlikely Prospect Of Reducing Health Care Costs. , 2006, Health affairs.

[99]  B. Gower,et al.  Effect of changes in fat distribution on the rates of change of insulin response in children. , 2002, Obesity research.

[100]  I. Joumard,et al.  Health care systems : efficiency and policy settings , 2010 .

[101]  Type 2 (Non-Insulin Dependent) Diabetes in Minority Youth: Conference Report , 1998, Clinical pediatrics.

[102]  Nicola T. Shaw,et al.  The impact of a Critical Care Information System (CCIS) on time spent charting and in direct patient care by staff in the ICU: A review of the literature , 2009, Int. J. Medical Informatics.

[103]  V. Navarro,et al.  Health indicators and the organization of health care systems in western Europe. , 1995, American journal of public health.

[104]  M. Story,et al.  Food advertisements during children's Saturday morning television programming: are they consistent with dietary recommendations? , 1994, Journal of the American Dietetic Association.

[105]  I. Pigeot,et al.  Prevalence and determinants of childhood overweight and obesity in European countries: pooled analysis of the existing surveys within the IDEFICS Consortium , 2009, International Journal of Obesity.

[106]  Tony Hey,et al.  The Fourth Paradigm: Data-Intensive Scientific Discovery , 2009 .

[107]  S. Olshansky Projecting the future of U.S. health and longevity. , 2005, Health affairs.

[108]  H. King,et al.  Global Burden of Diabetes, 1995–2025: Prevalence, numerical estimates, and projections , 1998, Diabetes Care.

[109]  Antonio Afonso,et al.  Relative Efficiency of Health Provision: A DEA Approach with Non-Discretionary Inputs , 2006 .

[110]  J. Rizzo,et al.  Occupation-Specific Absenteeism Costs Associated With Obesity and Morbid Obesity , 2007, Journal of occupational and environmental medicine.

[111]  J. Posnett,et al.  The determinants and effects of health expenditure in developed countries. , 1992, Journal of health economics.

[112]  A. Astrup,et al.  Healthy lifestyles in Europe: prevention of obesity and type II diabetes by diet and physical activity , 2001, Public Health Nutrition.

[113]  Kyriakos Souliotis,et al.  Data analysis of the benefits of an electronic registry of information in a neonatal intensive care unit in Greece. , 2008, Perspectives in health information management.

[114]  K Yaffe,et al.  Midlife cardiovascular risk factors and risk of dementia in late life , 2005, Neurology.

[115]  J. Nixon,et al.  The relationship between health care expenditure and health outcomes. Evidence and caveats for a causal link. , 2006, The European journal of health economics : HEPAC : health economics in prevention and care.

[116]  P. Pisani Hyper-insulinaemia and cancer, meta-analyses of epidemiological studies. , 2008, Archives of physiology and biochemistry.

[117]  H. Kuhnlein,et al.  Dietary change and traditional food systems of indigenous peoples. , 1996, Annual review of nutrition.

[118]  R. Dunn,et al.  Projecting Future Medical Care Costs Using Four Scenarios of Lifestyle Risk Rates , 2000, American journal of health promotion : AJHP.

[119]  W. Willett,et al.  Personal responsibility and obesity: a constructive approach to a controversial issue. , 2010, Health affairs.

[120]  P. Barter,et al.  Antiinflammatory Properties of HDL , 2004 .

[121]  Claude Bouchard,et al.  Handbook of obesity , 1997 .

[122]  Stephen W. Sorensen,et al.  Lifetime risk for diabetes mellitus in the United States. , 2003, JAMA.

[123]  M Wake,et al.  Television, computer use and body mass index in Australian primary school children , 2003, Journal of paediatrics and child health.

[124]  Adrian H. Zai,et al.  Designing healthcare information technology to catalyse change in clinical care. , 2008, Informatics in primary care.

[125]  E. Rimm,et al.  Proportion of colon cancer risk that might be preventable in a cohort of middle-aged US men , 2004, Cancer Causes & Control.

[126]  J. Shaw,et al.  Preventing Type 2 diabetes and the dysmetabolic syndrome in the real world: a realistic view , 2003, Diabetic medicine : a journal of the British Diabetic Association.

[127]  R. Maccioni,et al.  Insulin resistance and Alzheimer's disease: molecular links & clinical implications. , 2008, Current Alzheimer research.

[128]  W. James,et al.  The challenge of childhood obesity. , 2006, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[129]  H. B. Mitchell,et al.  Multi-Sensor Data Fusion: An Introduction , 2007 .

[130]  J. Silverstein,et al.  Type 2 diabetes in children and adolescents , 2003, Pediatric diabetes.

[131]  R. Goetzel,et al.  The Long-Term Impact of Johnson & Johnson’s Health & Wellness Program on Employee Health Risks , 2002, Journal of occupational and environmental medicine.

[132]  Graham A Colditz,et al.  Physical activity and survival after breast cancer diagnosis. , 2004, JAMA.

[133]  D. Kahneman Maps of Bounded Rationality: Psychology for Behavioral Economics , 2003 .

[134]  Anson,et al.  DIET , LIFESTYLE , AND THE RISK OF TYPE 2 DIABETES MELLITUS IN WOMEN , 2001 .

[135]  A. Drewnowski,et al.  The nutrition transition: new trends in the global diet. , 2009, Nutrition reviews.

[136]  N Mamelle,et al.  Mediterranean dietary pattern in a randomized trial: prolonged survival and possible reduced cancer rate. , 1998, Archives of internal medicine.

[137]  T. Vos,et al.  A new approach to assessing the health benefit from obesity interventions in children and adolescents: the assessing cost-effectiveness in obesity project , 2006, International Journal of Obesity.

[138]  Sylvia R. Taube Reconstructing the Whole: A Gauge of Fraction Understanding. , 1995 .

[139]  D. Beech,et al.  Health Professions Education: A Bridge to Quality , 2004 .

[140]  R. Goetzel,et al.  The Association between Health Risks and Medical Expenditures in a Japanese Corporation , 2005, American journal of health promotion : AJHP.

[141]  D. Wallinga Agricultural policy and childhood obesity: a food systems and public health commentary. , 2010, Health affairs.

[142]  K. Jones,et al.  Type 2 diabetes mellitus in minority children and adolescents. An emerging problem. , 1999, Endocrinology and metabolism clinics of North America.

[143]  Alexander S. Young,et al.  Information Technology to Support Improved Care For Chronic Illness , 2007, Journal of General Internal Medicine.

[144]  Jodi Messer,et al.  Public financing of health expenditures, insurance, and health outcomes , 2002 .

[145]  M. Kivipelto,et al.  Midlife Serum Cholesterol and Increased Risk of Alzheimer’s and Vascular Dementia Three Decades Later , 2009, Dementia and Geriatric Cognitive Disorders.

[146]  S. Kelder,et al.  Mapping data shape community responses to childhood obesity. , 2010, Health affairs.

[147]  William G. Griswold,et al.  Data Quality for Situational Awareness during Mass-Casualty Events , 2007, AMIA.

[148]  Anne F. Kittler,et al.  A cost-benefit analysis of electronic medical records in primary care. , 2003, The American journal of medicine.

[149]  B. Popkin The nutrition transition and its health implications in lower-income countries , 1998, Public Health Nutrition.

[150]  M. O'Donnell Health and Productivity Management: The Concept, Impact, and Opportunity: Commentary to Goetzel and Ozminkowski , 2000, American journal of health promotion : AJHP.

[151]  S. Olshansky,et al.  A potential decline in life expectancy in the United States in the 21st century. , 2005, The New England journal of medicine.

[152]  B. Howard,et al.  Insulin, physical activity, and caloric intake in postmenopausal women: breast cancer implications. , 2004, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[153]  N. Christakis,et al.  The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.

[154]  Yasar A Ozcan,et al.  Do Hospitals With Electronic Medical Records (EMRs) Provide Higher Quality Care? , 2008, Medical care research and review : MCRR.

[155]  Jean-Louis Martin,et al.  Mediterranean Diet, Traditional Risk Factors, and the Rate of Cardiovascular Complications After Myocardial Infarction Final Report of the Lyon Diet Heart Study , 1999 .

[156]  D. Edington,et al.  Impact of childhood obesity on employers. , 2010, Health affairs.

[157]  Robert Atkins,et al.  The rising prevalence of diabetes and impaired glucose tolerance: the Australian Diabetes, Obesity and Lifestyle Study. , 2002, Diabetes care.

[158]  Richard E Scott,et al.  Telehealth outcomes: a synthesis of the literature and recommendations for outcome indicators. , 2007, Journal of telemedicine and telecare.

[159]  P. Ormerod,et al.  ‘Binge’ drinking in the UK: a social network phenomenon , 2008, 0806.3176.

[160]  C. Mulvaney,et al.  Clinicians' Prescribing Behavior? Computerized Alerts and Prompts to Improve What Evidence Supports the Use of , 2010 .

[161]  Mark S. Granovetter Economic Action and Social Structure: The Problem of Embeddedness , 1985, American Journal of Sociology.

[162]  J. Krapels,et al.  The EU Platform on Diet, Physical Activity and Health , 2007 .

[163]  Alexander S. Szalay,et al.  Data Management in the Worldwide Sensor Web , 2007, IEEE Pervasive Computing.

[164]  D. Coplen Types of Unintended Consequences Related to Computerized Provider Order Entry , 2007 .

[165]  Bernd Blobel,et al.  Medical and Care Compunetics 2 , 2005 .

[166]  H. Dominic Covvey,et al.  Achieving a "Therapeutic Dose" of IT , 2004, MedInfo.

[167]  Yoon K Loke,et al.  Long-term risk of cardiovascular events with rosiglitazone: a meta-analysis. , 2007, JAMA.

[168]  Suzanne Rivard,et al.  Clinical information systems: understanding and preventing their premature demise. , 2005, Healthcare quarterly.

[169]  R. Goetzel,et al.  The Relationship between Modifiable Health Risks and Group-Level Health Care Expenditures , 2000, American journal of health promotion : AJHP.

[170]  K. Thorpe,et al.  The impact of obesity on rising medical spending. , 2004, Health affairs.

[171]  Donna M Gates,et al.  Obesity and Presenteeism: The Impact of Body Mass Index on Workplace Productivity , 2008, Journal of occupational and environmental medicine.

[172]  S. Kanba,et al.  Insulin resistance is associated with the pathology of Alzheimer disease , 2010, Neurology.

[173]  R J Ozminkowski,et al.  Health and Productivity Management: Emerging Opportunities for Health Promotion Professionals for the 21st Century , 2000 .

[174]  Patrice Degoulet,et al.  Assessing the Capital Efficiency of Healthcare Information Technologies Investments: An Econometric Perspective , 2008, Yearbook of Medical Informatics.

[175]  E. Mayer-Davis,et al.  Nutrition and prevention of type 2 diabetes. , 2003, Annual review of nutrition.

[176]  R. Rawson,et al.  An emerging problem: methamphetamine abuse among treatment seeking youth. , 2008, Substance abuse.

[177]  B. Druss,et al.  Growth and decentralization of the medical literature: implications for evidence-based medicine. , 2005, Journal of the Medical Library Association : JMLA.

[178]  Lisa Simpson,et al.  National, state, and local disparities in childhood obesity. , 2010, Health affairs.

[179]  J. Stockman,et al.  Incidence trends for childhood type 1 diabetes in Europe during 1989–2003 and predicted new cases 2005–20: a multicentre prospective registration study , 2011 .

[180]  M. Chin,et al.  Considerations for diabetes translational research in real-world settings. , 2003, Diabetes care.

[181]  E. Andrew Balas,et al.  Information Systems Can Prevent Errors and Improve Quality , 2001, J. Am. Medical Informatics Assoc..

[182]  P. Barter,et al.  Homocysteine and cardiovascular disease: is HDL the link? , 2006, Circulation research.

[183]  Jonathan M. Teich,et al.  Grand challenges in clinical decision support , 2008, J. Biomed. Informatics.

[184]  Mark F. Thouin,et al.  The effect of information technology investment on firm-level performance in the health care industry , 2008, Health care management review.

[185]  Khim Horton,et al.  The use of telecare for people with chronic obstructive pulmonary disease: implications for management. , 2008, Journal of nursing management.

[186]  Endy,et al.  Association between multiple cardiovascular risk factors and atherosclerosis in children and young adults , 2000 .

[187]  L. Chapman,et al.  Meta-evaluation of worksite health promotion economic return studies: 2005 update. , 2005, American journal of health promotion : AJHP.

[188]  J.D. Sterman,et al.  Nobody Ever Gets Credit for Fixing Problems That Never Happened: Creating and Sustaining Process Improvement , 2001, IEEE Engineering Management Review.

[189]  T. Kitagawa,et al.  Increased Incidence of Non-Insulin Dependent Diabetes Mellitus Among Japanese Schoolchildren Correlates with an Increased Intake of Animal Protein and Fat , 1998, Clinical pediatrics.

[190]  A. Bauman,et al.  Food advertising on Australian television: the extent of children's exposure. , 2005, Health promotion international.

[191]  D. Pella,et al.  Effect of an Indo-Mediterranean diet on progression of coronary artery disease in high risk patients (Indo-Mediterranean Diet Heart Study): a randomised single-blind trial , 2002, The Lancet.

[192]  H. Simon,et al.  Administrative Behavior: A Study of Decision-Making Processes in Administrative Organization. , 1959 .

[193]  Bonnie Kaplan,et al.  White Paper: Health IT Success and Failure: Recommendations from Literature and an AMIA Workshop , 2009, J. Am. Medical Informatics Assoc..

[194]  Callahan St,et al.  Type 2 diabetes mellitus in adolescents. , 2000 .

[195]  N. Skolnik,et al.  Diabetes Care 2005 , 2005 .

[196]  J. Sterman Learning from evidence in a complex world. , 2006, American journal of public health.

[197]  Johanna I Westbrook,et al.  Review Paper: Does Computerized Provider Order Entry Reduce Prescribing Errors for Hospital Inpatients? A Systematic Review , 2009, J. Am. Medical Informatics Assoc..

[198]  R J Ozminkowski,et al.  Differences between descriptive and multivariate estimates of the impact of Chevron Corporation's Health Quest Program on medical expenditures. , 1998, Journal of occupational and environmental medicine.

[199]  D. Kromhout,et al.  Mediterranean diet, lifestyle factors, and 10-year mortality in elderly European men and women: The HALE project , 2005 .

[200]  John Doucette,et al.  Adopting electronic medical records in primary care: Lessons learned from health information systems implementation experience in seven countries , 2009, Int. J. Medical Informatics.

[201]  D. Annane,et al.  Corticosteroids for severe sepsis and septic shock: a systematic review and meta-analysis , 2004, BMJ : British Medical Journal.

[202]  Mark E. Frisse Editorial Comments: Comments on Return on Investment (ROI) As It Applies to Clinical Systems , 2006, J. Am. Medical Informatics Assoc..

[203]  Z. Or DETERMINANTS OF HEALTH OUTCOMES IN INDUSTRIALISED COUNTRIES: A POOLED, CROSS-COUNTRY, TIME-SERIES ANALYSIS , 2000 .

[204]  J. Fries,et al.  Reducing need and demand for medical services in high-risk persons. A health education approach. , 1998, The Western journal of medicine.

[205]  M. Blades,et al.  Children and television advertising: when do they understand persuasive intent? , 2002 .

[206]  F. Rank,et al.  PRIMARY PREVENTION OF CORONARY HEART DISEASE IN WOMEN THROUGH DIET AND LIFESTYLE , 2000 .

[207]  D. Edington,et al.  Comparing Excess Costs Across Multiple Corporate Populations , 2004, Journal of occupational and environmental medicine.

[208]  Ben Shneiderman,et al.  Searching Electronic Health Records for Temporal Patterns in Patient Histories: A Case Study with Microsoft Amalga , 2008, AMIA.

[209]  Shelly Y. Lensing,et al.  Non-Insulin Dependent Diabetes Mellitus in African-American Youths of Arkansas , 1998, Clinical pediatrics.

[210]  F. Hu,et al.  The Mediterranean diet and mortality--olive oil and beyond. , 2003, The New England journal of medicine.

[211]  J Wasserman,et al.  The relationship between modifiable health risks and health care expenditures. An analysis of the multi-employer HERO health risk and cost database. , 1998, Journal of occupational and environmental medicine.

[212]  P. Allhoff,et al.  Bogalusa Heart Study , 2020, Encyclopedia of Behavioral Medicine.

[213]  E Ammenwerth,et al.  The Time Needed for Clinical Documentation versus Direct Patient Care , 2009, Methods of Information in Medicine.

[214]  H. Mcdonald,et al.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review. , 2005, JAMA.

[215]  G. Meola,et al.  Increased visceral adipose tissue rather than BMI as a risk factor for dementia. , 2007, Age and ageing.

[216]  S. Aldana,et al.  Financial impact of a comprehensive multisite workplace health promotion program. , 2005, Preventive medicine.

[217]  S. Fowler,et al.  Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. , 2002 .

[218]  A. Selmon Health And Longevity , 1934 .

[219]  B. Gower,et al.  Insulin Sensitivity and Blood Pressure in Black and White Children , 2002, Hypertension.

[220]  Marc Berg,et al.  Viewpoint Paper: Some Unintended Consequences of Information Technology in Health Care: The Nature of Patient Care Information System-related Errors , 2003, J. Am. Medical Informatics Assoc..

[221]  L. Chuang,et al.  National surveillance for type 2 diabetes mellitus in Taiwanese children. , 2003, JAMA.

[222]  S. Sunder Rationality in economics: Constructivist and ecological forms , 2009 .

[223]  S Tu,et al.  Section 5: Decision Support, Knowledge Representation and Management: Decision Support, Knowledge Representation and Management in Medicine , 2006, Yearbook of Medical Informatics.

[224]  Albert-László Barabási,et al.  Linked - how everything is connected to everything else and what it means for business, science, and everyday life , 2003 .

[225]  P. Shekelle,et al.  Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care , 2006, Annals of Internal Medicine.