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Current Gerontology and Geriatrics Research
Volume 2010 (2010), Article ID 989315, 9 pages
Research Article

Predicting Successful Aging in a Population-Based Sample of Georgia Centenarians

1Genetics Department, University of Georgia, Athens, GA 30602, USA
2Tulane Center for Aging and Department of Medicine, Tulane University Health Sciences Center, New Orleans, LA 70112, USA
3Institute of Gerontology, University of Georgia, Athens, GA 30602, USA
4Department of Food and Nutrition, College of Family and Consumer Sciences, University of Georgia, Athens, GA 30602, USA
5Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48106, USA
6The College of Saint Scholastica, Duluth, MN 55811, USA
7Gerontology Program, Iowa State University, Ames, IA 50011, USA
8School of Family Studies and Human Services, Kansas State University, Manhattan, KS 66506, USA
9College of Health Professions, Temple University, Philadelphia, PA 19122, USA
10Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC 27710, USA

Received 18 January 2010; Accepted 26 July 2010

Academic Editor: Donald Craig Willcox

Copyright © 2010 Jonathan Arnold et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

The supplement gives a detailed description of the dual sampling frame of the study using voter registration rolls and a list of nursing homes and personal care homes. Weights are developed for octogenarians, near-centenarians, and centenarians to bring the sample into alignment with the target population. The weight assigned to each member of a sample can be thought of as the estimated number of individuals in the target population that are represented by that individual. The weights developed depend on post-stratification. They are designed to bring the sample into agreement with the target population on the basis of county of residence, age, gender, race, and type of residence. The iterative procedure for determining these weights is described in the supplement. The use of weights is evaluated relative to an unweighted procedure using mean square error.

  1. Supplementary Material