@article {5761, title = {Aging, Demographics and Memory Study (ADAMS): Sample Design, Weighting and Analysis for ADAMS}, year = {2009}, institution = {Institute for Social Research, University of Michigan}, address = {Ann Arbor, Michigan}, abstract = {This technical report describes the sample design, design-based weighting and analysis procedures for the Aging, Demographics and Memory Study (ADAMS), a national study that recruited Health and Retirement Study (HRS) panel members to undergo a psychometric evaluation and clinical assessment visit. Langa et al. (2005) describe the general design and methods for the ADAMS including relevant background on the HRS longitudinal sample. This document provides additional detail on the sample design for the ADAMS including a description of survey sample selection, sample attrition and nonresponse, population weights, design-based variance estimation and related topics of importance to analysts of the ADAMS data.}, keywords = {Health Conditions and Status, Methodology}, author = {Steven G Heeringa and Gwenith G Fisher and Michael D Hurd and Kenneth M. Langa and Mary Beth Ofstedal and Brenda L Plassman and Rogers, Willard and David R Weir} } @article {7002, title = {The Aging, Demographics and Memory Study: Study Design and Methods}, journal = {Neuroepidemiology}, volume = {25}, year = {2005}, pages = {181-191}, publisher = {25}, abstract = {Objective: We describe the design and methods of the Aging, Demographics, and Memory Study (ADAMS), a new national study that will provide data on the antecedents, prevalence, outcomes, and costs of dementia and cognitive impairment, not demented (CIND) using a unique study design based on the nationally representative Health and Retirement Study (HRS). We also illustrate potential uses of the ADAMS data and provide information to interested researchers on obtaining ADAMS and HRS data. Methods: The ADAMS is the first population-based study of dementia in the United States to include subjects from all regions of the country, while at the same time using a single standardized diagnostic protocol in a community-based sample. A sample of 856 individuals aged 70 or older who were participants in the on-going HRS received an extensive in-home clinical and neuropsychological assessment to determine a diagnosis of normal, CIND, or dementia. Within the CIND and dementia categories, subcategories (e.g., Alzheimer disease, vascular dementia) were assigned to denote the etiology of cognitive impairment. Conclusion: Linking the ADAMS dementia clinical assessment data to the wealth of available longitudinal HRS data on health, health care utilization, informal care, and economic resources and behavior, will provide a unique opportunity to study the onset of CIND and dementia in a nationally-representative population-based sample, as well as the risk factors, prevalence, outcomes, and costs of CIND and dementia.}, keywords = {Health Conditions and Status, Healthcare}, author = {Kenneth M. Langa and Brenda L Plassman and Robert B Wallace and A. Regula Herzog and Steven G Heeringa and Mary Beth Ofstedal and James F. Burke and Gwenith G Fisher and Fultz, Nancy H. and Michael D Hurd and Guy G Potter and Willard L Rodgers and David C Steffens and David R Weir} } @article {6553, title = {Alcohol and Occupational Injuries among Older Workers}, journal = {Accident Analysis and Prevention}, volume = {28}, year = {1996}, pages = {371-6.}, publisher = {28}, keywords = {Demographics, Employment and Labor Force, Health Conditions and Status, Methodology, Risk Taking}, author = {Zwerling, Craig and Nancy L. Sprince and Robert B Wallace and Charles S. Davis and Paul S. Whitten and Steven G Heeringa} }