Low Light Exposure and Physical Activity in Older Adults With and Without Age-Related Macular Degeneration

Dev, Mahesh Kumar; Black, Alex A.; Cuda, Damian; Wood, Joanne M.

doi:10.1167/tvst.11.3.21

Cited by 2 publications

(1 citation statement)

References 77 publications

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“…Most adults undertake many activities in low luminance conditions, with two studies reporting normally sighted adults being in conditions of <10 lux for approximately one‐quarter of their waking hours 21,22 . Recently, Dev et al 23 found that community‐dwelling older adults with and without AMD spent approximately one‐third of their waking hours in low luminance conditions. Yet, adults with AMD report that they prefer brighter lighting and that faces and facial expressions are harder to recognise in low light levels 1 .…”

Section: Introductionmentioning

confidence: 99%

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Venugopal

Wood

Black

et al. 2023

Ophthalmic Physiologic Optic

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PurposeTo investigate the effect of low luminance on face recognition, specifically facial identity discrimination (FID) and facial expression recognition (FER), in adults with central vision loss (CVL) and peripheral vision loss (PVL) and to explore the association between clinical vision measures and low luminance FID and FER.MethodsParticipants included 33 adults with CVL, 17 with PVL and 20 controls. FID and FER were assessed under photopic and low luminance conditions. For the FID task, 12 sets of three faces with neutral expressions were presented and participants asked to indicate the odd‐face‐out. For FER, 12 single faces were presented and participants asked to name the expression (neutral, happy or angry). Photopic and low luminance visual acuity (VA) and contrast sensitivity (CS) were recorded for all participants and for the PVL group, Humphrey Field Analyzer (HFA) 24‐2 mean deviation (MD).ResultsFID accuracy in CVL, and to a lesser extent PVL, was reduced under low compared with photopic luminance (mean reduction 20% and 8% respectively; p < 0.001). FER accuracy was reduced only in CVL (mean reduction 25%; p < 0.001). For both CVL and PVL, low luminance and photopic VA and CS were moderately to strongly correlated with low luminance FID (ρ = 0.61–0.77, p < 0.05). For PVL, better eye HFA 24‐2 MD was moderately correlated with low luminance FID (ρ = 0.54, p = 0.02). Results were similar for low luminance FER. Together, photopic VA and CS explained 75% of the variance in low luminance FID, and photopic VA explained 61% of the variance in low luminance FER. Low luminance vision measures explained little additional variance.ConclusionLow luminance significantly reduced face recognition, particularly for adults with CVL. Worse VA and CS were associated with reduced face recognition. Clinically, photopic VA is a good predictor of face recognition under low luminance conditions.

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Section: Introductionmentioning

confidence: 99%

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Venugopal

Wood

Black

et al. 2023

Ophthalmic Physiologic Optic

Self Cite

View full text Add to dashboard Cite

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Protocol for a co-design study for the development of a chronotherapeutic mobile health behaviour change intervention targeting light exposure among older adults

Alkaff,

Murukesu,

Del Villar

et al. 2024

F1000Res

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Through its wide-ranging effects on human physiology and behaviour, daily light exposure is an important environmental modulator of healthy ageing. Integrating mobile health (mHealth) technology with behaviour change strategies offers a promising approach to optimise light exposure and positively impact sleep, rest-wake cycles, cognitive function, and mood at scale. This study aims to develop the LightSPAN mHealth behaviour change intervention to optimise light exposure across the lifespan. Employing a co-design methodology, the study comprises two distinct workstreams. The first focuses on conceptualising the theoretical framework and implementation strategies through a comprehensive review of light exposure interventions, behaviour change theories, mHealth user personas, and recommendations for designing mHealth interventions for older adults. The second workstream centres on co-designing the intervention, involving consultation with community service providers and engagement with older adults at ageing community centres (≥60 years of age). Community service providers will be consulted through open-ended discussions (target n=5). Older adult participants (n=20) will engage in telephone interviews, focus group discussions and prototyping workshops to explore older adult participants’ characteristics, needs, preferences, and mHealth intervention design elements and co-design the LightSPAN mHealth behaviour change intervention. The insights generated in these co-design components will ensure that the intervention addresses the needs of its future users.

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Low Light Exposure and Physical Activity in Older Adults With and Without Age-Related Macular Degeneration

Cited by 2 publications

References 77 publications

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Effect of low luminance on face recognition in adults with central and peripheral vision loss

Protocol for a co-design study for the development of a chronotherapeutic mobile health behaviour change intervention targeting light exposure among older adults

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