Evidence map›Paper›PMID 40652202›Full record

ArticleBMC geriatrics2025

Association between frailty and quality of life, and the moderating effect of mobile, broadcast and digital media in sub-Saharan Africa: evidence from Kenya.

Gideon Dzando, Paul R Ward, Lillian Mwanri, Richard K Moussa, Rachel C Ambagtsheer

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. 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

5 authors.

Gideon DzandoResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, SA, 5000, Australia. Gideon.Dzando@student.torrens.edu.au.
Paul R WardResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, SA, 5000, Australia.
Lillian MwanriResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, SA, 5000, Australia.
Richard K MoussaÉcole Nationale Supérieure de Statistique et d'Economie Appliquée (ENSEA), Abidjan, Côte d'Ivoire.
Rachel C AmbagtsheerResearch Centre for Public Health, Equity and Human Flourishing, Torrens University Australia, Wakefield Campus, Adelaide, SA, 5000, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, frailty is known to negatively impact quality of life, yet this relationship remains underexplored in Kenya. Additionally, there is growing interest in leveraging technology in health and social care to support vulnerable populations, but its potential benefits for older people remain unclear. This study aimed to examine the association between frailty and quality of life, and to explore the moderating role of mobile, broadcast, and digital media in the relationship between frailty and quality of life among older people.

methodsThis study involved 783 older people (aged 60 years and above) who participated in the Health and Well-being of Older Persons in Kenya (HWOPs-1) study. Frailty was assessed using a 32-item Frailty Index, and quality of life was measured using a 7-item index from the World Health Organization's Quality of Life-Brief instrument. Bivariate analysis was conducted to examine associations between frailty, quality of life, and access to mobile, broadcast, and digital media. Multiple moderation regression analysis was used to estimate whether media access (radio, television, mobile phone ownership, and internet usage) influenced the relationship between frailty and quality of life by including interaction terms between frailty and each media variable.

resultsMore than half (66.0%) of the study participants were frail, and 82.9% had moderate to good quality of life. Frailty was inversely correlated with quality of life (r = -0.61, p < 0.001), indicating that higher levels of frailty are associated with poorer quality of life. The mobile, broadcast and digital media variables were all positively correlated with frailty (r = 0.121 to 0.330, p < 0.001) and negatively correlated with quality of life (r = -0.24 to -0.12, p < 0.001). The moderation analysis revealed that only mobile phone ownership showed a significant moderation effect (β = 1.10, p = 0.03, 95% CI [0.12, 2.08]), suggesting that access to mobile phones may help mitigate the impact of frailty on quality of life.

conclusionFrailty significantly impacts quality of life. Access to mobile phones may help mitigate this effect by fostering social connectedness, while introducing complex technologies may be counterproductive in improving frailty-associated quality of life.

Indexed as

Cell PhoneFrail ElderlyFrailtyQuality of LifeTelevisionAgedAged, 80 and overDigital MediaFemaleHumansKenyaMaleMiddle AgedDigital and mobile healthFrailtyKenyaQuality of lifeSub-Saharan Africa

Identifiers

PMID40652202
PMCPMC12255119

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.