Literature DB >> 16275012

Estimating the incidence of dementia: the impact of adjusting for subject attrition using health care utilization data.

Suzanne L Tyas1, Robert B Tate, Kate Wooldrage, Jure Manfreda, Laurel A Strain.   

Abstract

PURPOSE: To estimate incidence rates for dementia and the impact of subject attrition on these rates.
METHODS: Crude, age- and gender-specific incidence rates of dementia and Alzheimer's disease were calculated using person-years analysis and Cox proportional hazard models in a population-based cohort study of 1952 adults aged 65+ years in Manitoba, Canada. Rates were standardized to the nondemented population using the direct method. Ratios of incidence rates comparing completers to subjects who had died, refused, or were unavailable for follow up were based on health care utilization data (available for all subject groups) and used to adjust rates for attrition.
RESULTS: Decedents had a significantly higher incidence of dementia than did subjects who completed the follow-up assessment. The incidence in subjects who refused or were unavailable at follow up was intermediate between decedents and completers. Adjusted for attrition, the standardized dementia incidence rate for community and institutional subjects was 25.3/1000 person-years, significantly higher than that based on follow-up assessments only (17.8/1000 person-years; 95% confidence interval: 14.3-21.4).
CONCLUSIONS: The impact of loss to follow up on incidence rates varies depending on the reason for subject attrition. Incidence studies of dementia should develop strategies to characterize and address subject attrition to avoid underestimating disease incidence.

Entities:  

Mesh:

Year:  2005        PMID: 16275012     DOI: 10.1016/j.annepidem.2005.09.006

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  10 in total

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2.  Does cognition predict mortality in midlife? Results from the Whitehall II cohort study.

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3.  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.

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4.  Attrition of older Mexican American survey respondents.

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Journal:  J Immigr Minor Health       Date:  2008-05-16

5.  Combining direct and proxy assessments to reduce attrition bias in a longitudinal study.

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6.  Brain MRI markers and dropout in a longitudinal study of cognitive aging: the Three-City Dijon Study.

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9.  Risk factors for late-life cognitive decline and variation with age and sex in the Sydney Memory and Ageing Study.

Authors:  Darren M Lipnicki; Perminder S Sachdev; John Crawford; Simone Reppermund; Nicole A Kochan; Julian N Trollor; Brian Draper; Melissa J Slavin; Kristan Kang; Ora Lux; Karen A Mather; Henry Brodaty
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10.  Influence of individual and combined healthy behaviours on successful aging.

Authors:  Séverine Sabia; Archana Singh-Manoux; Gareth Hagger-Johnson; Emmanuelle Cambois; Eric J Brunner; Mika Kivimaki
Journal:  CMAJ       Date:  2012-10-22       Impact factor: 8.262

  10 in total

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