Literature DB >> 11927198

Attrition in the Longitudinal Aging Study Amsterdam. The effect of differential inclusion in side studies.

Dorly J H Deeg1, Theo van Tilburg, Johannes H Smit, Edith D de Leeuw.   

Abstract

This study addresses the relation between attrition and characteristics of the study protocol, specifically contact frequency, and respondent burden. The study is based on data from a longitudinal study with side studies on various topics, so that respondents have differential exposure to these study characteristics. Attrition outcomes are refusal and ineligibility through frailty. The effect of side study contact frequency and respondent burden on these outcomes is examined in two analytical samples: (1) baseline participants surviving to the first follow-up after 10 months (sample I), and (2) first follow-up participants surviving to the second follow-up after 3 years (sample II). Attrition during the first study interval was higher than during the second study interval, 15.5 and 5.4%, respectively. In sample I, the request to participate in a side study on social network implied an increased risk of refusal to participate at first follow-up if subjects refused the request (RR 8.34). However, if subjects participated in the network study, their risk of refusal was decreased (RR 0.42). In sample II, requests to participate in one to four side study cycles increased the risk of refusal to participate at second follow-up if subjects participated in fewer cycles than requested (RR 9.21). If subjects participated in all side study cycles that they were approached for, even if the number of cycles was five or more, this had an opposite effect: it decreased the risk of refusal (RR 0.18). Ineligibility was not significantly associated with contact frequency or respondent burden. Furthermore, neither contact frequency nor respondent burden related refusal was selective with respect to socio-demographic characteristics and physical and mental health indicators. It is concluded that contact frequency is nonlinearly associated with attrition. The findings further suggest that designing a series of side studies within the "longitudinal paradigm" does not severely damage the study's validity in terms of selective attrition.

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Year:  2002        PMID: 11927198     DOI: 10.1016/s0895-4356(01)00475-9

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  66 in total

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2.  Contribution of frailty markers in explaining differences among individuals in five samples of older persons.

Authors:  Nadia Sourial; Howard Bergman; Sathya Karunananthan; Christina Wolfson; Jack Guralnik; Hélène Payette; Luis Gutierrez-Robledo; Dorly J H Deeg; John D Fletcher; Maria T E Puts; Bin Zhu; François Béland
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-03-28       Impact factor: 6.053

3.  Protein intake and muscle strength in older persons: does inflammation matter?

Authors:  Benedetta Bartali; Edward A Frongillo; Martha H Stipanuk; Stefania Bandinelli; Simonetta Salvini; Domenico Palli; Jose A Morais; Stefano Volpato; Jack M Guralnik; Luigi Ferrucci
Journal:  J Am Geriatr Soc       Date:  2012-01-27       Impact factor: 5.562

4.  Vitamin B12, homocysteine and depressive symptoms: a longitudinal study among older adults.

Authors:  L E M Elstgeest; I A Brouwer; B Wj H Penninx; N M van Schoor; M Visser
Journal:  Eur J Clin Nutr       Date:  2017-02-01       Impact factor: 4.016

5.  Factors associated with attrition from a randomized controlled trial of meaning-centered group psychotherapy for patients with advanced cancer.

Authors:  Allison J Applebaum; Wendy G Lichtenthal; Hayley A Pessin; Julia N Radomski; N Simay Gökbayrak; Aviva M Katz; Barry Rosenfeld; William Breitbart
Journal:  Psychooncology       Date:  2011-07-12       Impact factor: 3.894

6.  Factors influencing attrition in 35 Alzheimer's Disease Centers across the USA: a longitudinal examination of the National Alzheimer's Coordinating Center's Uniform Data Set.

Authors:  Shanna L Burke; Tianyan Hu; Mitra Naseh; Nicole M Fava; Janice O'Driscoll; Daniel Alvarez; Linda B Cottler; Ranjan Duara
Journal:  Aging Clin Exp Res       Date:  2018-12-10       Impact factor: 3.636

7.  Aging and the shape of cognitive change before death: terminal decline or terminal drop?

Authors:  Stuart W S MacDonald; David F Hultsch; Roger A Dixon
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2011-02-07       Impact factor: 4.077

8.  Sociodemographic, clinical, and psychological factors associated with attrition in a prospective study of cardiovascular prevention: the Heart Strategies Concentrating on Risk Evaluation study.

Authors:  Claudia E Bambs; Kevin E Kip; Suresh R Mulukutla; Aryan N Aiyer; Cheryl Johnson; Lee Ann McDowell; Karen Matthews; Steven E Reis
Journal:  Ann Epidemiol       Date:  2013-03-25       Impact factor: 3.797

Review 9.  Sarcopenic obesity: definition, cause and consequences.

Authors:  Sari Stenholm; Tamara B Harris; Taina Rantanen; Marjolein Visser; Stephen B Kritchevsky; Luigi Ferrucci
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2008-11       Impact factor: 4.294

10.  Large-scale analysis of association between LRP5 and LRP6 variants and osteoporosis.

Authors:  Joyce B J van Meurs; Thomas A Trikalinos; Stuart H Ralston; Susana Balcells; Maria Luisa Brandi; Kim Brixen; Douglas P Kiel; Bente L Langdahl; Paul Lips; Osten Ljunggren; Roman Lorenc; Barbara Obermayer-Pietsch; Claes Ohlsson; Ulrika Pettersson; David M Reid; Francois Rousseau; Serena Scollen; Wim Van Hul; Lidia Agueda; Kristina Akesson; Lidia I Benevolenskaya; Serge L Ferrari; Göran Hallmans; Albert Hofman; Lise Bjerre Husted; Marcin Kruk; Stephen Kaptoge; David Karasik; Magnus K Karlsson; Mattias Lorentzon; Laura Masi; Fiona E A McGuigan; Dan Mellström; Leif Mosekilde; Xavier Nogues; Huibert A P Pols; Jonathan Reeve; Wilfried Renner; Fernando Rivadeneira; Natasja M van Schoor; Kurt Weber; John P A Ioannidis; André G Uitterlinden
Journal:  JAMA       Date:  2008-03-19       Impact factor: 56.272

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