Evidence map›Paper›PMID 39611803›Full record

ArticleJMIR mHealth and uHealth2024

Evaluating the Impact of a Daylight-Simulating Luminaire on Mood, Agitation, Rest-Activity Patterns, and Social Well-Being Parameters in a Care Home for People With Dementia: Cohort Study.

Kate Turley, Joseph Rafferty, Raymond Bond, Maurice Mulvenna, Assumpta Ryan, Lloyd Crawford

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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

6 authors.

Kate TurleySchool of Computing, Ulster University, Cromore Rd, Belfast, BT52 1SA, United Kingdom, 44 28 7012 3456.ORCID 0009-0003-4043-8998
Joseph RaffertySchool of Computing, Ulster University, Cromore Rd, Belfast, BT52 1SA, United Kingdom, 44 28 7012 3456.ORCID 0000-0002-6318-8456
Raymond BondSchool of Computing, Ulster University, Cromore Rd, Belfast, BT52 1SA, United Kingdom, 44 28 7012 3456.ORCID 0000-0002-1078-2232
Maurice MulvennaSchool of Computing, Ulster University, Cromore Rd, Belfast, BT52 1SA, United Kingdom, 44 28 7012 3456.ORCID 0000-0002-1554-0785
Assumpta RyanSchool of Nursing and Pandemic Science, Ulster University, Belfast, United Kingdom.ORCID 0000-0003-4856-0798
Lloyd CrawfordChroma Lighting, Belfast, United Kingdom.ORCID 0009-0001-1495-9808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Living with a diagnosis of dementia can involve managing certain behavioral and psychological symptoms. Alongside cognitive decline, this cohort expresses a suppression in melatonin production which can negatively influence their alignment of sleep or wake timings with the 24 hour day and night cycle. As a result, their circadian rhythms become disrupted. Since daylight has the capacity to stimulate the circadian rhythm and humans spend approximately 90% of their time indoors, research has shifted toward the use of indoor lighting to achieve this same effect. This type of lighting is programmed in a daylight-simulating manner; mimicking the spectral changes of the sun throughout the day. As such, this paper focuses on the use of a dynamic lighting and sensing technology used to support the circadian rhythm, behavioral and psychological symptoms, and well-being of people living with dementia. Objective: This study aimed to understand how dynamic lighting, as opposed to static lighting, may impact the well-being of those who are living with dementia. Methods: An ethically approved trial was conducted within a care home for people with dementia. Data were collected in both quantitative and qualitative formats using environmentally deployed radar sensing technology and the validated QUALIDEM (Quality of Life for People With Dementia) well-being scale, respectively. An initial 4 weeks of static baseline lighting was used before switching out for 12 weeks of dynamic lighting. Metrics were collected for 11 participants on mood, social interactions, agitation, sense of feeling, and sleep and rest-activity over a period of 16 weeks. Results: Dynamic lighting showed significant improvement with a moderate effect size in well-being parameters including positive affect (P=.03), social isolation (P=.048), and feeling at home (P=.047) after 5-10 weeks of dynamic lighting exposure. The results also highlight statistically significant improvements in rest-activity-related parameters of interdaily stability (P<.001), intradaily variation (P<.001), and relative amplitude (P=.03) from baseline to weeks 5-10, with the effect propagating for interdaily stability at weeks 10-16 as well (P<.001). Nonsignificant improvements are also noted for sleep metrics with a small effect size; however, the affect in agitation does not reflect this improvement. Conclusions: Dynamic lighting has the potential to support well-being in dementia, with seemingly stronger influence in earlier weeks where the dynamic lighting initially follows the static lighting contrast, before proceeding to aggregate as marginal gains over time. Future longitudinal studies are recommended to assess the additional impact that varying daylight availability throughout the year may have on the measured parameters.

Indexed as

DementiaLightingAffectAgedAged, 80 and overCircadian RhythmCohort StudiesFemaleHumansMalePsychomotor AgitationQuality of LifeRestagitationcardiaccare homecircadian rhythmdaylightdementiadigital healthdynamic lightingelderlymonitoringmoodolder adultspsychologicalsensorssleepsocial wellbeingwellbeing

Identifiers

PMID39611803
PMCPMC11622703

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.