Evidence map›Paper›PMID 35704314›Full record

ArticleJAMA network open2022

Experiences of Everyday Ageism and the Health of Older US Adults.

Julie Ober Allen, Erica Solway, Matthias Kirch, Dianne Singer, Jeffrey T Kullgren, Valerie Moïse, Preeti N Malani

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 1 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

62 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Ageism combating strategies in oral healthcare: A systematic review.Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry
    Pooled it
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2 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

7 authors.

Julie Ober AllenDepartment of Health and Exercise Science, University of Oklahoma, Norman.
Erica SolwayInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Matthias KirchInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Dianne SingerInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Jeffrey T KullgrenInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.
Valerie MoïseDepartment of Health and Exercise Science, University of Oklahoma, Norman.
Preeti N MalaniInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor.

Funding

TRAINING IN THE DEMOGRAPHY OF AGINGT32AG000221 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 1992 to 2026
$15.3M
Scientific/Technical CoreP2CHD041028 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sarah A. Burgard · 2017 to 2026
$6.5M
NIA NIH HHS T32 AG000221NICHD NIH HHS P2C HD041028
6 · The paper itself

Abstract

Importance: Major incidents of ageism have been shown to be associated with poorer health and well-being among older adults. Less is known about routine types of age-based discrimination, prejudice, and stereotyping that older adults encounter in their day-to-day lives, known as everyday ageism. Objective: To examine the prevalence of everyday ageism, group differences and disparities, and associations of everyday ageism with indicators of poor physical and mental health. Design, Setting, and Participants: This cross-sectional study was conducted using survey data from the December 2019 National Poll on Healthy Aging among a nationally representative household sample of US adults ages 50 to 80 years. Data were analyzed from November 2021 through April 2022. Exposures: Experiences of everyday ageism were measured using the newly developed multidimensional Everyday Ageism Scale. Main Outcomes and Measures: Fair or poor physical health, number of chronic health conditions, fair or poor mental health, and depressive symptoms. Results: Among 2035 adults ages 50 to 80 years (1047 [54.2%] women; 192 Black [10.9%], 178 Hispanic [11.4%], and 1546 White [71.1%]; mean [SD] age, 62.6 [8.0] years [weighted statistics]), most participants (1915 adults [93.4%]) reported regularly experiencing 1 or more forms of everyday ageism. Internalized ageism was reported by 1664 adults (81.2%), ageist messages by 1394 adults (65.2%), and interpersonal ageism by 941 adults (44.9%). Mean Everyday Ageism Scale scores were higher for several sociodemographic groups, including adults ages 65 to 80 years vs those ages 50 to 64 years (11.23 [95% CI, 10.80-11.66] vs 9.55 [95% CI, 9.26-9.84]) and White (10.43 [95% CI, 10.20-10.67]; P < .001) and Hispanic (10.09 [95% CI, 9.31-10.86]; P = .04) adults vs Black adults (9.23 [95% CI, 8.42-10.03]). Higher levels of everyday ageism were associated with increased risk of all 4 negative physical and mental health outcomes examined in regression analyses (with odds ratios [ORs] per additional scale point as high as 1.20 [95% CI, 1.17-1.23] for depressive symptoms and b = 0.039 [95% CI, 0.029-0.048] for chronic health conditions; P values < .001). Internalized ageism was the category associated with the greatest increase in risk of poor outcomes for all health measures (with ORs per additional scale point as high as 1.62 [95% CI, 1.49-1.76] for depressive symptoms and b = 0.063 [95% CI, 0.034-0.092] for chronic health conditions; P values < .001). Conclusions and Relevance: This study found everyday ageism to be prevalent among US adults ages 50 to 80 years. These findings suggest that commonplace ageist messages, interactions, and beliefs may be harmful to health and that multilevel and multisector efforts may be required to reduce everyday ageism and promote positive beliefs, practices, and policies related to aging and older adults.

Indexed as

AgeismAdultAgedAged, 80 and overAgingCross-Sectional StudiesFemaleHumansMaleMental HealthMiddle AgedStereotyping

Identifiers

PMID35704314
PMCPMC9201677

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.