Evidence map›Paper›PMID 38872081›Full record

SynthesisBMC geriatrics2024

Effectiveness of pedometer-based walking programmes in improving some modifiable risk factors of stroke among community-dwelling older adults: a systematic review, theoretical synthesis and meta-analysis.

Sam Chidi Ibeneme, Juliet Mah, Chidimma Omeje, Gerhard Fortwengel, Akachukwu Omumuagwula Nwosu, Frank Onyemaechi Irem, Georgian Chiaka Ibeneme, Hellen Myezwa, Martins Nweke

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

2 citing papers in PubMed.

  1. Article
  2. 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.

Sam Chidi IbenemeDepartment of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu Campus, Enugu, Enugu State, Enugu, Nigeria. sam.ibeneme@unn.edu.ng.
Juliet MahDepartment of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu Campus, Enugu, Enugu State, Enugu, Nigeria.
Chidimma OmejeDepartment of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu Campus, Enugu, Enugu State, Enugu, Nigeria.
Gerhard FortwengelFaculty III, Hochschule Hannover University of Applied Sciences & Arts, 30159, Hannover, Lower Saxony, Germany.
Akachukwu Omumuagwula NwosuDepartment of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu Campus, Enugu, Enugu State, Enugu, Nigeria.
Frank Onyemaechi IremDepartment of Medical Rehabilitation, Faculty of Health Sciences, College of Medicine, University of Nigeria, Enugu Campus, Enugu, Enugu State, Enugu, Nigeria.
Georgian Chiaka IbenemeDepartment of Nursing Sciences, Faculty of Health Sciences & Technology, College of Health Sciences, Ebonyi State University, Ebonyi State, Abakaliki, Nigeria.
Hellen MyezwaDepartment of Physiotherapy, Faculty of Health Sciences, School of Therapeutic Studies,University of the Witwatersrand, 7 York Road, Parktown, Johannesburg, 2193, Gauteng, South Africa.
Martins NwekeDepartment of Physiotherapy, Faculty of Health Sciences & Technology, David Umahi Federal University of Health Sciences, Uburu, Ebonyi State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPedometer-based walking programs hold promise as a health promotion strategy for stroke prevention in community-dwelling older adults, particularly when targeted at physical activity-related modifiable risk factors. The question arises: What is the effectiveness of pedometer-based walking program interventions in improving modifiable stroke risk factors among community-dwelling older adults?

methodEight databases were searched up to December 2

resultsThe review analyzed eight studies involving 1546 participants aged 60-85 years, with 1348 successfully completing the studies. Across these studies, pedometer-based walking programs were implemented 2-3 times per week, with sessions lasting 40-60 minutes, over a duration of 4-26 weeks. The risk of bias varied from high to moderate. Our narrative synthesis revealed positive trends in HDL-C levels, fasting blood sugar, and glycated hemoglobin, suggesting improved glycemic control and long-term blood sugar management. However, the impact on triglycerides was only marginal. Primary meta-analysis demonstrated significantly improved physical activity behavior (SMD=0.44,95%CI:0.26, 0.61,p=<0.00001;I

conclusionPedometer-based walking programs, utilizing interpersonal health behavior theory/ecological framework, enhance physical activity behavior and have antihypertensive effects in community-dwelling older adults. While they do not significantly affect diastolic blood pressure, these programs potentially serve as a primary stroke prevention strategy aligning with global health goals.

trial registrationRegistration Number: INPLASY202230118.

Indexed as

StrokeWalkingWearable Electronic DevicesActigraphyAgedAged, 80 and overHealth PromotionHumansIndependent LivingMiddle AgedRandomized Controlled Trials as TopicRisk FactorsCommunity-dwelling older adultsModifiable risk factorsPedometer-based walkingStroke prevention

Identifiers

PMID38872081
PMCPMC11177376

What Socratic 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 Socratic graph.