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Family matters
Designing, analysing and understanding family based studies in life course epidemiology
Edited by Deborah A. Lawlor and Gita D. Mishra
352 pages
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32 line drawings, and a colour plate section
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246x171mm
978-0-19-923103-4
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Paperback
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02 April 2009
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- Fourth book in the extremely successful Life Course Approach to Adult Health series
- Details underlying assumptions of family-based studies, to assist the reader in interpreting their findings
- Describes how doing studies within families can help us to understand whether a risk factor is causal or not, without having to do experiments with humans
- Describes the practicalities of doing these family-based studies, some of the pitfalls, and how to avoid them
- Describes practical difficulties of establishing and running a birth cohort in both high-income and low-middle income countries, and ways to minimise them
- Provides statistical formulae and programming syntax
- Contains examples of uses of family-based studies, including how they have helped understanding of the causes of disease, which also assists in understanding the limitations of such studies
Family-based studies, including intergenerational, sibling, and twin studies, are increasingly being used to explore life course epidemiology. However, there are issues relating to study design and the statistical analysis of family-based studies that are still not well understood, and comprehending the underlying assumptions of these studies and drawing the inferences from them can be complex.
This book provides the knowledge and skills required to design, analyse, and correctly interpret family-based studies. It explains what these studies can tell us about life course epidemiology; provides practical guidance on how to set-up and maintain birth cohorts for completing family-based studies in life course epidemiology; describes
how to undertake appropriate statistical analyses of family-based studies and correctly interpret results from these analyses; and provides examples that illustrate the ways in which family-based studies can enhance our understanding of life course epidemiology. In addition, there is discussion of difficulties specific to setting up such studies in low- and middle-income countries, and issues relating to proxy informants, where parents provide information on children and vice versa, or siblings provide information about each other. Examples of how family-based studies have been used in understanding the life course epidemiology of cardiovascular disease, mental health, and reproductive health illustrate the applicability of the research to these areas, but also more generally to the wider
field of life course epidemiology.Readership: Epidemiologists, biostatisticians, and public health practitioners, especially those working in life course epidemiology, will find this book invaluable. Those involved in social medicine and health policy, and clinicians in related fields such as paediatrics, obstetrics and general practice, will also find the book of interest.
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Edited by Deborah A. Lawlor, Professor of Epidemiology, MRC Centre for Causal Analyses in Translational Epidemiology, University of Bristol, UK, and Gita D. Mishra, Senior Research Scientist, MRC Unit for Lifelong Ageing and Health, Department of Epidemiology and Public Health, Royal Free and University College London Medical School, UK Contributors:
G. David Batty, Wellcome Trust fellow, Medical Research Council Social and Public Health Sciences Unit, University of Glasgow, UK
George Davey Smith, Professor of Clinical Epidemiology, MRC Centre for Causal Analyses in Translational Epidemiology, Department of Social
Medicine, University of Bristol, UK
Janet Rich Edwards, Director of Developmental Epidemiology, Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital, Boston, USA
Rebecca Hardy, Senior Research Scientist, MRC Unit for Lifelong Health and Ageing; Reader in Epidemiology and Medical Statistics, Department of Epidemiology and Public Health, University College London, UK
Stephani L. Hatch, Lecturer in Social Epidemiology, Department of Psychological Medicine, Institute of Psychiatry, King's College London, London, UK
Diana Kuh, Director, MRC Unit for Lifelong Health and Ageing; Professor of Life Course, Department of Epidemiology and Public Health, University College London, UK
Debbie A. Lawlor, Professor of
Epidemiology, MRC Centre for Causal Analyses in Translational Epidemiology, Department of Social Medicine, University of Bristol, UK
Sam Leary, Lecturer in Statistics, Department of Oral and Dental Science, University of Bristol Dental School, UK
David A. Leon, Professor of Epidemiology, Non-communicable Diseases Epidemiology Unit, London School of Hygiene & Tropical Medicine, London, UK
Ruth J. F. Loos, MRC Group Leader, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, UK
John Lynch, Professor of Epidemiology, Division of Health Sciences, University of South Australia, Australia; Department of Social Medicine, University of Bristol, UK; Department Epidemiology, Biostatistics and Occupational Health,
McGill University, Canada
Mia Madsen, Research fellow, Epidemiology, University of Southern Denmark, Odense, Denmark
Gita D. Mishra, Senior Research Scientist, MRC Unit for Lifelong Ageing and Health, Department of Epidemiology and Public Health, University College London, UK
Susan M. B. Morton, Senior Lecturer, Liggins Institute, University of Auckland, New Zealand
Dorothea Nitsch, Clinical Lecturer in Genetic Epidemiology, Non-communicable Disease Epidemiology Unit, Department of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
Anne-Marie Nybo Andersen, Professor of Epidemiology, University of Southern Denmark, Odense, Denmark
Ken K. Ong, MRC Group Leader, MRC Epidemiology Unit,
Institute of Metabolic Science, Addenbrooke's Hospital Cambridge, UK
Charlotte L. Ridgway, PhD student, MRC Epidemiology Unit, Institute of Metabolic Science, Addenbrooke's Hospital, UK
Samuli Ripatti, Researcher, FIMM Institute for Molecular Medicine Finland; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Sweden
Amanda Sacker, Research Professor, Institute for Social and Economic Research, University of Essex, UK
Kate W. Strully, Assistant Professor, Department of Sociology, State University of New York at Albany, USA
Susannah Tomkins, Lecturer, Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, UK
Cesar G. Victora, Professor of Epidemiology,
Post-Graduate Programme in Epidemiology, Universidade Federal de Pelotas, Brazil
Seungmi Yang, Research Associate, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada
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1: Debbie A. Lawlor & Gita D. Mishra: Why family matters - an introduction
Section 1: What can family-based studies tell us about life course epidemiology?
2: Debbie A. Lawlor, Sam Leary & George Davey Smith: Theoretical underpinning for the use of intergenerational studies in life course epidemiology
3: Kate W. Strully & Gita D. Mishra: Theoretical underpinning for the use of sibling studies in life course epidemiology
4: Ruth J. F. Loos, Charlotte L. Ridgway & Ken K. Ong: Theoretical underpinning for the use of twin studies in life course epidemiology
5: Hazel M. Inskip: Discussant chapter: summary of the theoretical approaches to family-based studies in life course epidemiology
Section 2: The practicalities of undertaking family-based studies
6: Anne-Marie Nybo Andersen, Mia Madsen & Debbie A. Lawlor: Theoretical underpinning for the use of intergenerational studies in life birth cohorts: a resource for life course studies
7: G. David Batty, Cesar G. Victora & Debbie A. Lawlor: Family-based life course studies in low- and middle-income countries
8: Susannah Tomkins: Using available family members as proxies to provide information on other family members who are difficult to reach
9: Rebecca Hardy & Diana Kuh: Discussant chapter: the practicalities of undertaking family-based studies
Section 3: How to undertake statistical analyses of family-based studies
10: Dorothea Nitsch & Gita D. Mishra: Statistical considerations in intergenerational studies
11: Samuli Ripatti: Random effects models for sibling and twin-based studies in life course epidemiology
12: Amanda Sacker: Discussant chapter: statistical considerations in family-based life course studies
Section 4: Use of family-based studies in life course epidemiology
13: Debbie A. Lawlor & David A. Leon: Family-based studies applied to the influence of early life factors on cardiovascular disease
14: Stephani L. Hatch & Gita D. Mishra: How family-based studies have added to the understanding of life course epidemiology of mental health
15: Susan M. B. Morton & Janet Rich Edwards: How family-based studies have added to understanding the life course epidemiology of reproductive health
16: John Lynch & Seungmi Yang: Discussant chapter: using family-based designs in life course epidemiology
17: Gita Mishra & Debbie Lawlor: The future of family-based studies in life course epidemiology: challenges and opportunities
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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