Evidence map›Paper›PMID 34208454›Full record

ReviewInternational journal of environmental research and public health2021

Methods to Address Self-Selection and Reverse Causation in Studies of Neighborhood Environments and Brain Health.

Lilah M Besser, Willa D Brenowitz, Oanh L Meyer, Serena Hoermann, John Renne

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The social environment and cognitive aging over the life course: laying out critical concepts and research gaps.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
  4. Urban greenspace and dementia: Measures, mechanisms, and methodological guidance.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Review
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  10. Pathways from neighborhood adversity to life satisfaction among older African American adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lilah M BesserDepartment of Urban and Regional Planning, Institute for Human Health and Disease Intervention (I-HEALTH), Florida Atlantic University, Boca Raton, FL 33431, USA.
Willa D BrenowitzDepartments of Psychiatry and Behavioral Sciences and Epidemiology & Biostatistics, University of California San Francisco, San Francisco, CA 94121, USA.
Oanh L MeyerDepartment of Neurology, University of California Davis, Sacramento, CA 95817, USA.
Serena HoermannCenter for Urban and Environmental Solutions (CUES), Department of Urban and Regional Planning, Florida Atlantic University, Boca Raton, FL 33431, USA.ORCID 0000-0002-9969-8669
John RenneCenter for Urban and Environmental Solutions (CUES), Department of Urban and Regional Planning, Florida Atlantic University, Boca Raton, FL 33431, USA.

Funding

UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI JOHNSON, DAVID K · 1991 to 2020
$28.3M
Vietnamese Insights into Cognitive Aging Program (VIP)R01AG067541 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI OANH L MEYER · 2021 to 2026
$10.2M
Sensory Impairments, Cognitive Decline, and Dementia: What Explains the Association?K01AG062722 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRENOWITZ, WILLA DOMINO · 2019 to 2023
$652k
Longitudinal associations between neighborhood greenspace and brain aging in cognitively normal older adultsK01AG063895 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BESSER, LILAH · 2020 to 2024
$628k
NIA NIH HHS K01 AG062722NIA NIH HHS K01AG062722NIA NIH HHS K01 AG063895NIA NIH HHS P30AG010129NIA NIH HHS R01 AG067541NIA NIH HHS R01AG067541
6 · The paper itself

Abstract

Preliminary evidence suggests that neighborhood environments, such as socioeconomic disadvantage, pedestrian and physical activity infrastructure, and availability of neighborhood destinations (e.g., parks), may be associated with late-life cognitive functioning and risk of Alzheimer's disease and related disorders (ADRD). The supposition is that these neighborhood characteristics are associated with factors such as mental health, environmental exposures, health behaviors, and social determinants of health that in turn promote or diminish cognitive reserve and resilience in later life. However, observed associations may be biased by self-selection or reverse causation, such as when individuals with better cognition move to denser neighborhoods because they prefer many destinations within walking distance of home, or when individuals with deteriorating health choose residences offering health services in neighborhoods in rural or suburban areas (e.g., assisted living). Research on neighborhood environments and ADRD has typically focused on late-life brain health outcomes, which makes it difficult to disentangle true associations from associations that result from reverse causality. In this paper, we review study designs and methods to help reduce bias due to reverse causality and self-selection, while drawing attention to the unique aspects of these approaches when conducting research on neighborhoods and brain aging.

Indexed as

ExerciseResidence CharacteristicsBrainCausalityHealth BehaviorHumansWalkingAlzheimer diseasebiasbrain healthbuilt environmentcausalitycognitionepidemiological methodsneighborhoodreverse causationself-selection

Identifiers

PMID34208454
PMCPMC8296350

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.