Literature DB >> 33687445

Evaluation of Selective Survival and Sex/Gender Differences in Dementia Incidence Using a Simulation Model.

Crystal Shaw1,2, Eleanor Hayes-Larson1, M Maria Glymour3, Carole Dufouil4,5, Timothy J Hohman6,7, Rachel A Whitmer8,9, Lindsay C Kobayashi10, Ron Brookmeyer2, Elizabeth Rose Mayeda1.   

Abstract

Importance: Dementia research is susceptible to bias arising from selective survival, a process that results in individuals with certain characteristics disproportionately surviving to old age. Spurious associations between risk factors and dementia may be induced when factors associated with longer survival also influence dementia incidence. Objective: To assess the role of selective survival in explaining reported sex/gender differences in dementia incidence. Design, Setting, and Participants: This decision analytical model used a simulated cohort of US participants aged 50 years and without dementia at baseline followed up for incident dementia through age 95 years. Selective survival was induced by a selection characteristic (eg, childhood social disadvantage or Alzheimer genetic risk) that influenced both mortality and dementia incidence at varying magnitudes. Data analysis was performed from April 2018 to May 2020. Exposure: Sex/gender, conceptualized as the combination of biological sex and social consequences of gender. Main Outcomes and Measures: Dementia incidence rate ratios (IRRs) for women compared with men. In all simulations, it was assumed that there would be no true effect of sex/gender on dementia incidence; all observed sex/gender differences were due to selective survival.
Results: At baseline, the simulation included 100 000 participants aged 50 years (51 000 [51%] women, mirroring the 1919-1921 US birth cohort of non-Latino White individuals at age 50 years); distributions of the selection characteristic were standard normal (mean [SD], 0.0 [1.0]). Observed sex/gender differences in dementia incidence in individuals aged 85 years or older ranged from insignificant (IRR, 1.00; 95% CI, 0.91-1.11) to consistent with sex/gender differences (20% higher risk for women [IRR, 1.20; 95% CI, 1.08-1.32]) reported in an extant study. Simulations in which bias was large enough to explain prior findings required moderate to large differential effects of selective survival (eg, hazard ratio for selection characteristic on mortality at least 2.0 among men, no effect among women). Conclusions and Relevance: These results suggest that selective survival may contribute to observed sex/gender differences in dementia incidence but do not preclude potential contributions of sex/gender-specific mechanisms. Further research on plausibility of selection characteristics with outcomes of the magnitude required for selective survival to explain sex/gender differences in dementia incidence and sex/gender-specific mechanisms represent an opportunity to understand prevention and treatment of dementia.

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Mesh:

Year:  2021        PMID: 33687445      PMCID: PMC7944377          DOI: 10.1001/jamanetworkopen.2021.1001

Source DB:  PubMed          Journal:  JAMA Netw Open        ISSN: 2574-3805


  37 in total

1.  Can Survival Bias Explain the Age Attenuation of Racial Inequalities in Stroke Incidence?: A Simulation Study.

Authors:  Elizabeth Rose Mayeda; Hailey R Banack; Kirsten Bibbins-Domingo; Adina Zeki Al Hazzouri; Jessica R Marden; Rachel A Whitmer; M Maria Glymour
Journal:  Epidemiology       Date:  2018-07       Impact factor: 4.822

2.  Dementia incidence continues to increase with age in the oldest old: the 90+ study.

Authors:  María M Corrada; Ron Brookmeyer; Annlia Paganini-Hill; Daniel Berlau; Claudia H Kawas
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3.  Risk of dementia and death in the long-term follow-up of the Pittsburgh Cardiovascular Health Study-Cognition Study.

Authors:  Lewis H Kuller; Oscar L Lopez; James T Becker; Yuefang Chang; Anne B Newman
Journal:  Alzheimers Dement       Date:  2015-10-28       Impact factor: 21.566

4.  Incidence of dementia and major subtypes in Europe: A collaborative study of population-based cohorts. Neurologic Diseases in the Elderly Research Group.

Authors:  L Fratiglioni; L J Launer; K Andersen; M M Breteler; J R Copeland; J F Dartigues; A Lobo; J Martinez-Lage; H Soininen; A Hofman
Journal:  Neurology       Date:  2000       Impact factor: 9.910

5.  A Simulation Platform for Quantifying Survival Bias: An Application to Research on Determinants of Cognitive Decline.

Authors:  Elizabeth Rose Mayeda; Eric J Tchetgen Tchetgen; Melinda C Power; Jennifer Weuve; Hélène Jacqmin-Gadda; Jessica R Marden; Eric Vittinghoff; Niels Keiding; M Maria Glymour
Journal:  Am J Epidemiol       Date:  2016-08-30       Impact factor: 4.897

6.  Sex and gender differences in Alzheimer's disease: current challenges and implications for clinical practice: Position paper of the Dementia and Cognitive Disorders Panel of the European Academy of Neurology.

Authors:  M T Ferretti; J Martinkova; E Biskup; T Benke; G Gialdini; Z Nedelska; K Rauen; V Mantua; D Religa; J Hort; A Santuccione Chadha; R Schmidt
Journal:  Eur J Neurol       Date:  2020-04-03       Impact factor: 6.089

7.  Alzheimer disease in the United States (2010-2050) estimated using the 2010 census.

Authors:  Liesi E Hebert; Jennifer Weuve; Paul A Scherr; Denis A Evans
Journal:  Neurology       Date:  2013-02-06       Impact factor: 9.910

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Authors:  Rachel F Buckley; Elizabeth C Mormino; Jasmeer Chhatwal; Aaron P Schultz; Jennifer S Rabin; Dorene M Rentz; Diler Acar; Michael J Properzi; Julien Dumurgier; Heidi Jacobs; Teresa Gomez-Isla; Keith A Johnson; Reisa A Sperling; Bernard J Hanseeuw
Journal:  Neurobiol Aging       Date:  2019-03-07       Impact factor: 4.673

9.  Sex differences in coronary heart disease and stroke mortality: a global assessment of the effect of ageing between 1980 and 2010.

Authors:  Sophie H Bots; Sanne A E Peters; Mark Woodward
Journal:  BMJ Glob Health       Date:  2017-03-27

10.  Sex differences in age-related cardiovascular mortality.

Authors:  Tomi S Mikkola; Mika Gissler; Marko Merikukka; Pauliina Tuomikoski; Olavi Ylikorkala
Journal:  PLoS One       Date:  2013-05-20       Impact factor: 3.240

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  1 in total

1.  Sex differences in biological aging with a focus on human studies.

Authors:  Sara Hägg; Juulia Jylhävä
Journal:  Elife       Date:  2021-05-13       Impact factor: 8.140

  1 in total

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