Family matters
Designing, analysing and understanding family based studies in life course epidemiology
Series: Life Course Approach to Adult Health;
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Product details:
- Publisher OUP Oxford
- Date of Publication 2 April 2009
- ISBN 9780199231034
- Binding Paperback
- No. of pages352 pages
- Size 245x171x19 mm
- Weight 635 g
- Language English
- Illustrations 32 line drawings, and a colour plate section 0
Categories
Short description:
Life course epidemiology considers how adult health is affected by a variety of factors and influences over the entire life-course. This book provides the reader with the knowledge and skills to design, analyse, and correctly interpret family-based studies, which are increasingly being used to explore life course epidemiology.
MoreLong description:
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.
Table of Contents:
Why family matters - an introduction
Section 1: What can family-based studies tell us about life course epidemiology?
Theoretical underpinning for the use of intergenerational studies in life course epidemiology
Theoretical underpinning for the use of sibling studies in life course epidemiology
Theoretical underpinning for the use of twin studies in life course epidemiology
Discussant chapter: summary of the theoretical approaches to family-based studies in life course epidemiology
Section 2: The practicalities of undertaking family-based studies
Theoretical underpinning for the use of intergenerational studies in life birth cohorts: a resource for life course studies
Family-based life course studies in low- and middle-income countries
Using available family members as proxies to provide information on other family members who are difficult to reach
Discussant chapter: the practicalities of undertaking family-based studies
Section 3: How to undertake statistical analyses of family-based studies
Statistical considerations in intergenerational studies
Random effects models for sibling and twin-based studies in life course epidemiology
Discussant chapter: statistical considerations in family-based life course studies
Section 4: Use of family-based studies in life course epidemiology
Family-based studies applied to the influence of early life factors on cardiovascular disease
How family-based studies have added to the understanding of life course epidemiology of mental health
How family-based studies have added to understanding the life course epidemiology of reproductive health
Discussant chapter: using family-based designs in life course epidemiology
The future of family-based studies in life course epidemiology: challenges and opportunities
