Evidence map›Paper›PMID 30889237›Full record

ArticleThe Gerontologist2020

Measuring Activity Limitations Within the National Health and Aging Trends Study (NHATS).

Elizabeth E Marfeo, Pengsheng Ni, Tamra Keeney, Alan Jette

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 4 papers.

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

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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

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Elizabeth E MarfeoDepartment of Occupational Therapy, Tufts University Graduate School of Arts and Sciences, Medford, Massachusetts.
Pengsheng NiDepartment of Health Law, Policy & Management, Boston University School of Public Health, Massachusetts.
Tamra KeeneyCenter for Gerontology and Health Care Research, Brown University School of Public Health, Providence, Rhode Island.
Alan JetteDepartment of Rehabilitation Sciences and Physical Therapy, MGH Institute of Health Professions, Boston, Massachusetts.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Center for Rehabilitation Research Using Large DatasetsR24HD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2010 to 2014
$4.0M
NIA NIH HHS U01 AG032947NICHD NIH HHS R24 HD065702
6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo better understand the disablement process among older adults, improved measures of activity limitations are needed. Traditional population-level measures lack the ability to distinguish precise gradations of activity limitation and are unable to detect degrees of differences over a wide range of ability levels. Therefore, we used contemporary measurement methods to improve upon current methodologies for characterizing activity limitations within the National Health and Aging Trends Study (NHATS) . RESEARCH DESIGN AND

methodsWe used the NHATS Round 1 cohort to assess the feasibility of constructing an Activity Limitations scale using Rasch item response theory methods. Factor analysis was used to develop the scale from a set of existing items in the NHATS Mobility, Self-Care, and Household Activity domains. Psychometric properties of the scale were evaluated and the scale was used to examine change in activity limitations among the sample from 2011 to 2015.

resultsResults supported an 18-item scale (N = 7,609). Rasch infit and outfit statistics were within acceptable range for all items (Cronbach's alpha = 0.95; sample score reliability = 0.83). From 2011 to 2015, 5.88% older adults demonstrated increase in function, 15% showed decrease in function, and 78% of the sample showed no change (did not exceed ± MDC90). DISCUSSION AND IMPLICATIONS: Findings demonstrate that a unidimensional, interval scale of activity limitations can be constructed using traditional survey measures nested within the NHATS. Results revealed concerns regarding ceiling effects within the current self-report items of activity limitations suggesting future work is needed to expand the range of ability currently represented in the NHATS Activity Limitation items.

Indexed as

Activities of Daily LivingDisability EvaluationAgedAged, 80 and overFactor Analysis, StatisticalFemaleHumansMalePersons with DisabilitiesPsychometricsReproducibility of ResultsSurveys and QuestionnairesUnited StatesEpidemiologyOutcomesPsychometricsRehabilitation

Identifiers

PMID30889237
PMCPMC7182005

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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.