Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology

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1. Verfasser: Bhopal, Raj S. (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Oxford [u.a.] Oxford Univ. Press 2008
Ausgabe:2. ed.
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adam_text Contents Glossary xxix 1 What is epidemiology? The nature and scope of a biological, clinical, social, and ecological science and of its variables 01 1.1 The individual and the population 01 1.2 Definition of epidemiology and a statement of its central paradigm 02 1.3 Directions in epidemiology and its uses 03 1.4 Epidemiology as a science, practice, and craft 04 1.5 The nature of epiderniologkal variables 06 1.6 Definition and diagnosis of disease: an illustration of the interdependence of clinical medicine and epidemiology 11 1.7 The basic tools of epidemiology: measuring disease frequency and study design 13 1.8 Seeking the theoretical foundations of epidemiology Summary 15 Sample examination questions 17 2 The epidemiological concept of population 19 2.1 The individual and the population 19 2.2 Harnessing variety in individual and group level disease and risk factor patterns 23 2.3 Disease patterns as an outcome of individuals living in changing social groups 24 2.4 Sick populations and sick individuais 27 2.5 Individual and population level epidemiological variables 33 2.6 Epidemiology and demography: interdependent population sciences 35 2.7 The dynamic nature of human population 41 2.8 Applications of the epidemiological population concept 42 2.9 Conclusion 44 Summary 44 Sample examination questions 45 3 Variation in disease by time, place, and person: A framework for analysis of genetic and environmental effects 47 3.1 Introduction 47 3.2 Reasons for analysing disease variations: environment and genetics 48 3.3 Introducing human genetic variation and genetic epidemiology 50 3.3.1 The human genome 50 3.3.2 Genomic variation as the basis of human disease and population variation 52 XXÍi CONTENTS 3.3.3 Susceptibility to diseases, chronic diseases and genetics 55 33 A Tools of genetic epidemiology 57 3.3.5 Population level differences in disease and genetics: the example of race 58 3.4 Variations and associations: real or artefact? 60 3.5 Applying the real/artefact framework 64 3.6 Disease clustering and clusters in epidemiology 71 3.7 Applications of observations of disease variation 77 3.8 Epidemiological theory underpinning or arising from this chapter 80 3.9 Conclusion 80 Summary 80 Sample examination questions 81 4 Error, bias, confounding and risk modification/interaction in epidemiology 83 4.1 Introduction 83 4.2 A classification of error and bias 86 4.2.1 Bias in the research question, theme or hypothesis 87 4.2.2 Choice of population- selection bias 90 4.2.3 Non-participation: non-response bias 92 4.2.4 Comparing disease patterns and risk factor-disease outcome relationships in populations which differ (context for confounding) 93 4.2.5 Risk/effect modification, susceptibility and interaction 97 4.2.6 Measurement errors: differential and non-differential J 03 4.2.7 Misclassification bias: non-differential measurement errors, and regression to the mean 104 4.2.8 Analysis and interpretation 109 4.2.9 Publication 109 4.2.10 Judgement and action 110 4.3 A practical application of the research chronology schema of bias and error HI 4.4 Conclusion 111 Summary 115 Sample examination questions 116 Further exercises 118 5 Cause and effect: The epidemiological approach 123 5.1 Introduction: causality in science and philosophy 123 5.2 Epidemiological causal strategy and reasoning: the example of Semmelweiss 126 5.3 Models of cause in epidemiology 128 5.3.1 Interplay of host, agent, and environment 128 5.3.2 Necessary and sufficient cause, proximal and distal cause and the interacting component causes, models 135 CONTENTS xxiii 5.4 Guidelines (elsewhere criteria) for epidemiological reasoning on cause and effect 140 5.4.1 Comparison of epidemiological and other guidelines for causal reasoning 140 5.4.2 Application of guidelines to associations 145 5.4.3 Judging the causal basis of the association 151 5.4.4. Reviews, systematic reviews and meta-analysis 151 5.4.5 Interpretation of data, paradigras, study design, and causal criteria 156 5.5 Epidemiological theory illustrated by this chapter 156 5.6 Conclusion 157 Summary 160 Sample examination questions 161 6 Interrelated concepts in the epidemiology of disease: natural history, spectrum, iceberg, population patterns, and screening 163 6.1 Natural history of disease, the incubation period and acute/chronic diseases 164 6.2 The population pattern of disease: changes over time (secular trends) 169 6.3 Spectrum of disease: a clinical concept fundamental to epidemiology 171 6.4 The unmeasured burden of disease: the metaphors of the iceberg and the pyramid 172 6.5 Screening: picking up disease or disease susceptibility early 175 6.5.1 Introduction: definition, purposes, and ethics 175 6.5.2 Choosing what to screen for: criteria of Wilson and Jungner 176 6.5.3 Sensitivity, specificity and predictive powers of screening tests 178 6.5.4 Setting the cut-off point for a positive screening test: introducing the relation between sensitivity and specificity and the ROC curve 182 6.5.5 Distributions of the factors we are screening for—explaining the relations between sensitivity and specificity 184 6.6 Applications of the concepts of natural history, spectrum, population pattern and screening 190 6.7 Epidemiological theory: symbiosis with clinical medicine and social sciences 193 6.8 Conclusion 193 Summary 195 Exercises from the first edition 196 Sample examination questions 197 Appendix 200 7 The concept of risk and fundamental measures of disease frequency: incidence and prevalence 201 7.1 Introduction: risks, risk factors, and causes 201 7.2 Quantifying disease frequency, risk factors, and their relationships: issues of terminology 202 xxiv CONTENTS 7.3 Incidence and incidence rate: the concepts of person-time incidence, and cumulative incidence 205 7.4 Numerator: defining, diagnosing, coding disease accurately 211 7.5 Denominator 216 7.6 Prevalence and prevalence rate 218 7.7 Relationship of incidence and prevalence 224 7.8 Choice of incidence or prevalence measures 228 7.9 Presenting rates: overall and specific 228 7.10 Conclusion 229 Summary 230 Sample examination questions 230 An exercise on incidence and prevalence from the first edition 233 Appendix 234 8 Presentation and interpretation of epidemiological data on risk 235 8.1 Introduction 235 8.2 Proportional morbidity or mortality ratio (PMR) 236 8.3 Adjusted overall rates: standardization and the calculation of the SMR (Standardized mortality ratio) 238 8.3Л Direct Standardisation 240 8.3.2 Indirect Standardisation 241 8.4 Relative measure: relative risk 245 8.5 The odds ratio (OR) 248 8.6 Measurements to assess the impact of a risk factor in groups and populations: attributable risk and related measures 254 8.6.1 Attributable risk/exposed group: estimating benefits of changing exposure in the at risk group 255 8.6.2 Population attributable risk and population impact number: estimating the benefits of reducing exposure in the population as a whole 259 8.7 Presentation and interpretation of epidemiological data in applied settings 261 8.8 Avoidable morbidity and mortality and life-years lost 263 8.9 Comparison of summary measures of health status 265 8.10 DALY, disability adjusted life years, and QALY, quality adjusted life years 267 8.11 Numbers needed to treat (NNT) or to prevent (NNP); and the number of events prevented in your population (NBPP) 269 8.12 Describing the health status of a population 270 8.13 The construction and development of health status indicators 273 8.14 Conclusion 274 Summary 276 Sample examination questions 277 9 Epidemiological study design and principles of data analysis: an integrated suite of methods 285 9.1 Introduction: interdependence of study design in epidemiology, and the importance of the base population 286 CONTENTS xxv 9.2 Classifications of study design: five dichotomies 288 93 Case series: clinical and population based register studies 290 9.3.1. Overview 290 9.3.2 Design of a case series 293 9.3.3 Analysis of case series 294 9.3.4 Unique insights from case series 295 9.4 Cross-sectional study 296 9.4.1 Overview 296 9.4.2 Design 297 9.4.3 Value and limitations 299 9.4.4 Cross-sectional studies in relation to the iceberg, spectrum and natural history of disease 300 9.4.5 Cross-sectional studies in relation to case series, calculating of incidence, and comparative potential 300 9.5 Case-control study 302 9.5.1 Overview 302 9.5.2 Design and analysis 302 9.5.3 Population base for case-control studies 305 9.6 Cohort study 251 306 9.6.1 Overview 306 9.6.2 Design 308 9.7 Trials - population based experiments 311 9.7.1 Overview 311 9.7.2 Design 311 9.8 Overlap in the conceptual basis of the case series, cross-sectional, case-control, cohort, and trial designs; and their strengths and weakenesses 314 9.9 Ecological studies: mode of analysis? 320 9.9.1 Overview 320 9.9.2 Some fallacies·, ecological, atomistic and homogeneity 321 9.10 Size of the study 322 9.11 Data analysis and interpretation 323 9.11.1 Planning the analysis 324 9.11.2 Focus 325 9.11.3 Errors 325 9.11.4 Validity 326 9.11.5 Handling continuous data using correlation and regression: contributions to causal thinking 326 9.11.6 Generalization 328 9.11.7 Burden 328 9.11.8 Comparability 328 9.11.9 Summarising the contrasts 329 9.11.10 Interactions 330 9.11 Л 1 Accounting for error, bias and confounding 330 »V¡ CONTENTS 9.11.12 Causality 330 9.11.13 Write-up 330 9.12 Conclusion 331 Summary 332 Sample examination questions 333 Appendix 340 10 Epidemiology in the future: Theory, ethics, context, and critical appraisal 347 10.1 The interrelationship of theory, methods, and application: responding to criticisms of modern epidemiology 347 10.2 Fundamental influences on health and disease in populations 349 10.3 Theory and practice: role of epidemiology 351 10.4 Practice to theory to techniques and back. 352 10.4.1 Setting priorities in health and health care: illustrative topic 1 352 10.4.2 Impact on health of local polluting industries: Teesside study of environment and health: illustrative topic 2 355 10.5 Paradigms: the evolution of sciences, including epidemiology 357 10.6 Epidemiology: forces for change 358 10.7 Scope of epidemiology and specialization 359 10.8 The context of epidemiological practice — academic and service, USA and UK 360 10.9 The practice of epidemiology in public health 361 10.10 Ethical basis and proper conduct of epidemiology: the need for a code 362 10.10.1 The tobacco industry 362 10.10.2 Authorship 363 10.10.3 Ethnicity and race 363 10.11 Ethical guidelines 366 10.12 Critical appraisal in epidemiology: separating fact from error and fallacy 367 10.12.1 Some fallacies 369 10.12.2 The nature of critical appraisal 371 10.13 Some questions relevant to the appraisal of epidemiological research 371 10.14 Building on an epidemiological education: role of historical landmarks 373 10.14.1 James Línd and scurvy 373 10.14.2 Edward Jenner and smallpox 374 10.14.3 John Snow and cholera 374 10.14.4 The emergence of epidemiology 375 10.15 A reflection on the future of epidemiology 376 Summary 379 Sample examination questions 380 References and further reading 381 Appendix 401 Index 411
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spelling Bhopal, Raj S. Verfasser (DE-588)1071627996 aut
Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology Raj S. Bhopal
2. ed.
Oxford [u.a.] Oxford Univ. Press 2008
XXXVII, 417 S. Ill., graph. Darst.
txt rdacontent
n rdamedia
nc rdacarrier
Épidémiologie
Epidemiology
Epidemiologie (DE-588)4015016-1 gnd rswk-swf
Epidemiologie (DE-588)4015016-1 s
b DE-604
Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017172734&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle Bhopal, Raj S.
Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology
Épidémiologie
Epidemiology
Epidemiologie (DE-588)4015016-1 gnd
subject_GND (DE-588)4015016-1
title Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology
title_auth Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology
title_exact_search Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology
title_full Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology Raj S. Bhopal
title_fullStr Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology Raj S. Bhopal
title_full_unstemmed Concepts of epidemiology integrating the ideas, theories, principles, and methods of epidemiology Raj S. Bhopal
title_short Concepts of epidemiology
title_sort concepts of epidemiology integrating the ideas theories principles and methods of epidemiology
title_sub integrating the ideas, theories, principles, and methods of epidemiology
topic Épidémiologie
Epidemiology
Epidemiologie (DE-588)4015016-1 gnd
topic_facet Épidémiologie
Epidemiology
Epidemiologie
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