Evidence map›Paper›PMID 30544227›Full record

ArticleThe Gerontologist2020

In the Eyes of Those Who Were Randomized: Perceptions of Disadvantaged Older Adults in a Tai Chi Trial.

On-Yee Lo, Lisa A Conboy, Alexandra Rukhadze, Caroline Georgetti, Margaret M Gagnon, Brad Manor, Margie E Lachman, Lewis A Lipsitz, Peter M Wayne

Abstract read
In one paragraph

Article in The Gerontologist, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Pooled it
  3. The Benefits ofJournal of alternative and complementary medicine (New York, N.Y.) · 2020
    Trial
  4. Article
  5. A Content Analysis of African Americans' Experience of Engaging inJournal of integrative and complementary medicine · 2024
    Article
  6. Article
  7. Article
  8. Article
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

9 authors.

On-Yee LoHinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLife, Boston, Massachusetts.
Lisa A ConboyNew England School of Acupuncture, Newton, Massachusetts.
Alexandra RukhadzeNew England School of Acupuncture, Newton, Massachusetts.
Caroline GeorgettiNew England School of Acupuncture at Massachusetts College of Pharmacy and Health Sciences, Worcester, Massachusetts.
Margaret M GagnonHinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLife, Boston, Massachusetts.
Brad ManorHinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLife, Boston, Massachusetts.
Margie E LachmanDepartment of Psychology, Brandeis University, Waltham, Massachusetts.
Lewis A LipsitzHinda and Arthur Marcus Institute for Aging Research at Hebrew SeniorLife, Boston, Massachusetts.
Peter M WayneHarvard Medical School, Boston, Massachusetts.

Funding

Translational Researchin Aging Trainnig ProgramT32AG023480 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS · 2004 to 2024
$7.6M
Core B - Pilot StudiesP30AG048785 · NIA · BRANDEIS UNIVERSITY · PI LACHMAN, MARGIE E · 2014 to 2023
$4.5M
Health Outcomes of Tai Chi in Subsidized Senior HousingR01AG025037 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI LIPSITZ, LEWIS, WAYNE, PETER MICHAEL · 2015 to 2019
$3.5M
Mentoring and research in mind-body and integrative therapiesK24AT009282 · NCCIH · BRIGHAM AND WOMEN'S HOSPITAL · PI WAYNE, PETER MICHAEL · 2017 to 2021
$834k
NCCIH NIH HHS K24 AT009282NIA NIH HHS P30 AG048785NIA NIH HHS R01 AG025037NIA NIH HHS T32 AG023480
6 · The paper itself

Abstract

BACKGROUND AND

objectivesOlder adults living in subsidized housing have typically been excluded from exercise intervention studies. We conducted a qualitative study to explore the perceived physical, psychological, social, and economic factors that influenced participation in and adherence to a year-long Tai Chi intervention within an ongoing cluster-randomized controlled trial (RCT) for older adults living within subsidized housing facilities. RESEARCH DESIGN AND

methodsFocus groups were held with participants of the RCT who were allocated to the trial's Tai Chi intervention. Individual phone interviews were conducted with those allocated to Tai Chi who had low adherence or who had withdrawn their participation from the study. Emergent themes were extracted using grounded-theory methods.

resultsIn this qualitative study, we enrolled 41 participants who were allocated to the RCT's Tai Chi intervention: 38 completed and 3 withdrew from the study. Average Tai Chi class attendance was 64.3%. Pragmatic factors that led to higher adherence and retention included: locating classes within each facility; providing programs at no cost; and deployment of a skilled research support team. In addition, the use of an accessible, simplified Tai Chi program improved confidence, social support, self-efficacy, and self-reported improvements in physical and psychological well-being. DISCUSSION AND IMPLICATIONS: Perceived physical, psychological, social benefits, and self-efficacy likely enhance adherence and retention to research-based Tai Chi interventions for older adults. Delivering an on-site, no cost, and supportive program appears critical to overcoming financial and environmental barriers to participation for those living within subsidized housing.

Indexed as

Public HousingVulnerable PopulationsAgedAged, 80 and overBostonExerciseFemaleHumansMaleQualitative ResearchRandomized Controlled Trials as TopicSelf EfficacySocial SupportTai JiAdherenceDisparities (health)Qualitative studyRetentionSubsidized housing

Identifiers

PMID30544227
PMCPMC7228436

What OpenQuestion holds

Textmetadata
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.