Evidence map›Paper›PMID 25675438›Full record

ArticlePloS one2015

Increasing negativity of age stereotypes across 200 years: evidence from a database of 400 million words.

Reuben Ng, Heather G Allore, Mark Trentalange, Joan K Monin, Becca R Levy

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 4 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

64 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Determinants of Ageism against Older Adults: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  4. Pooled it
  5. Latent profile analysis of self-perceptions of ageing among Chinese community-dwelling older adults.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2022
    Trial
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  15. Article
  16. Article
  17. Review
  18. Emotion Regulation in Couples Across Adulthood.Annual review of developmental psychology · 2023
    Article
  19. The Impact of Learning Multiple Real-World Skills on Cognitive Abilities and Functional Independence in Healthy Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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.

Reuben NgYale School of Public Health, New Haven, Connecticut, United States of America.
Heather G AlloreYale School of Public Health, New Haven, Connecticut, United States of America; Yale School of Medicine, New Haven, Connecticut, United States of America.
Mark TrentalangeYale School of Medicine, New Haven, Connecticut, United States of America.
Joan K MoninYale School of Public Health, New Haven, Connecticut, United States of America.
Becca R LevyYale School of Public Health, New Haven, Connecticut, United States of America.

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Racial Disparities in Heart Attack Recovery: Role of Stress and StigmaR01HL089314 · NHLBI · YALE UNIVERSITY · PI LEVY, BECCA R · 2008 to 2011
$3.0M
Stress Biomarkers as a Potential Link Between Age Beliefs and HealthR01AG032284 · NIA · YALE UNIVERSITY · PI LEVY, BECCA R · 2009 to 2015
$1.2M
Chronic Conditions and Mutuality of Care in Late Life Marriage:A Multi-method AppK01AG042450 · NIA · YALE UNIVERSITY · PI MONIN, JOAN E. · 2013 to 2017
$634k
NHLBI NIH HHS R01 HL089314NHLBI NIH HHS R01HL089314NIA NIH HHS K01 AG042450NIA NIH HHS K01 AG042450-01NIA NIH HHS P30 AG021342NIA NIH HHS P30AG21342NIA NIH HHS R01 AG032284NIA NIH HHS R01AG032284
6 · The paper itself

Abstract

Scholars argue about whether age stereotypes (beliefs about old people) are becoming more negative or positive over time. No previous study has systematically tested the trend of age stereotypes over more than 20 years, due to lack of suitable data. Our aim was to fill this gap by investigating whether age stereotypes have changed over the last two centuries and, if so, what may be associated with this change. We hypothesized that age stereotypes have increased in negativity due, in part, to the increasing medicalization of aging. This study applied computational linguistics to the recently compiled Corpus of Historical American English (COHA), a database of 400 million words that includes a range of printed sources from 1810 to 2009. After generating a comprehensive list of synonyms for the term elderly for these years from two historical thesauri, we identified 100 collocates (words that co-occurred most frequently with these synonyms) for each of the 20 decades. Inclusion criteria for the collocates were: (1) appeared within four words of the elderly synonym, (2) referred to an old person, and (3) had a stronger association with the elderly synonym than other words appearing in the database for that decade. This yielded 13,100 collocates that were rated for negativity and medicalization. We found that age stereotypes have become more negative in a linear way over 200 years. In 1880, age stereotypes switched from being positive to being negative. In addition, support was found for two potential explanations. Medicalization of aging and the growing proportion of the population over the age of 65 were both significantly associated with the increase in negative age stereotypes. The upward trajectory of age-stereotype negativity makes a case for remedial action on a societal level.

Indexed as

Models, TheoreticalAge FactorsHumans

Identifiers

PMID25675438
PMCPMC4326131

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.