Evidence map›Paper›PMID 35022022›Full record

ArticleBMC geriatrics2022

Self-management processes, sedentary behavior, physical activity and dietary self-management behaviors: impact on muscle outcomes in continuing care retirement community residents.

Murad H Taani, Scott J Strath, Rachel Schiffman, Michael Fendrich, Amy Harley, Chi C Cho, Yosuke Yamada, Christine R Kovach

Open access · goldAbstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

1 citing paper in PubMed, 12 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 2 countries.

Murad H TaaniCollege of Nursing, University of Wisconsin-Milwaukee, 1921 East Hartford Avenue, Milwaukee, WI, 53211, USA. mhtaani@uwm.edu.
Scott J StrathCollege of Health Sciences, University of Wisconsin-Milwaukee, 2400 E Hartford Ave, Milwaukee, WI, 53211, USA.
Rachel SchiffmanCollege of Nursing, University of Wisconsin-Milwaukee, 1921 East Hartford Avenue, Milwaukee, WI, 53211, USA.
Michael FendrichSchool of Social Work, University of Connecticut, Mansfield, USA.
Amy HarleyUWM Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, 1240 N 10th St, Milwaukee, WI, 53205, USA.
Chi C ChoCollege of Health Sciences, University of Wisconsin-Milwaukee, 2400 E Hartford Ave, Milwaukee, WI, 53211, USA.
Yosuke YamadaNational Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, 162-8636, Japan.
Christine R KovachCollege of Nursing, University of Wisconsin-Milwaukee, 1921 East Hartford Avenue, Milwaukee, WI, 53211, USA.
University of Wisconsin–Milwaukee · USNational Institute of Biomedical Innovation, Health and Nutrition · JPUniversity of Connecticut · US

Funding

Self-Management Science Center at UWMP20NR015339 · NINR · UNIVERSITY OF WISCONSIN MILWAUKEE · PI FENDRICH, MICHAEL · 2014 to 2018
$1.4M
NINR NIH HHS P20 NR015339
6 · The paper itself

Abstract

backgroundDespite the known benefits of non-sedentary behavior, physical activity, and protein and caloric intake to health and muscle mass, strength, and function, many older adults do not meet physical activity and dietary recommendations. A better understanding of the factors associated with sedentary behavior, physical activity and dietary self-management behaviors, and muscle outcomes (muscle mass, strength, and function) is needed, particularly among continuing care retirement community residents. The objective of this study was to examine the factors associated with sedentary behavior, physical activity and dietary self-management behaviors, and muscle outcomes among continuing care retirement community residents. It also aimed to determine whether sedentary behavior and physical activity and dietary self-management behaviors mediate the relationships between self-efficacy, goal congruence, aging expectations, social support, and muscle outcomes.

methodsA sample of 105 continuing care retirement community residents (age > 70 years) participated in this correlational, cross-sectional study. Questionnaires on pain, self-efficacy, goal congruence, aging expectation, social support, and daily protein and caloric intake were administered. Physical activity and sedentary behavior (ActiGraph wGT3X-BT), muscle mass (ImpediMed SFB7), muscle strength (Jamar Smart Digital Hand Dynamometer), and muscle function (Short Physical Performance Battery) were measured. Multiple regression, logistic regression, and mediation analyses were performed.

resultsLow goal congruence predicted engagement in sedentary behavior and light physical activity. Higher levels of self-efficacy and social support were associated with increased likelihoods of achieving greater moderate physical activity and meeting daily recommendations for caloric intake, respectively. Self-efficacy and goal congruence predicted muscle function and strength. Moreover, sedentary behavior and achieving greater moderate physical activity were found to partially but significantly mediate the relationship between self-efficacy and muscle function.

conclusionFuture research should evaluate whether attempts to reduce sedentary behavior and promote physical activity and dietary self-management behaviors and muscle outcomes are more successful when modifications to the self-management process factors are also targeted.

Indexed as

Sedentary BehaviorSelf-ManagementAgedCross-Sectional StudiesExerciseHumansMusclesRetirementCaloric intakeOlder adultsPhysical functionProtein intake

Identifiers

PMID35022022
PMCPMC8756701
OpenAlexW4206348674

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.