Prevention of circadian disruption, poor sleep, and mood disturbances in community-dwelling older adults Other
Conditions
Interventions
Participants will be randomly assigned in a 1:1 ratio to either the intervention group (full LightUP app) or the control group (placebo app) using a double-blind design. The intervention group will re
Sponsors
TUMCREATE Limited
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1. Aged 60 years or older 2. Community-dwelling and residing in Singapore 3. Capable of independent mobility with or without assistive devices 4. Functionally independent (Lawton IADL score >8 for females, >5 for males) 5. Proficient in speaking, reading, and writing in English 6. Currently owns and uses a smartphone 7. Not enrolled in any other ongoing research studies 8. Willing and able to wear study devices daily and attend study assessments 9. Provides written informed consent to participate in the study
Exclusion criteria
Exclusion criteria: 1. Cognitive impairment (Montreal Cognitive Assessment score 6) 3. Significant physical impairment impacting daily activities 4. Current diagnosis that interferes with daily function or presence of severe terminal illness or psychiatric conditions 5. Uncorrected or permanent visual impairment, diagnosis of eye diseases, or ocular abnormalities 6. Uncorrected hearing impairment 7. Residing in ageing care facilities or nursing homes 8. Currently involved in other ongoing research studies 9. Inability or unwillingness to comply with study procedures (e.g., wearing devices, attending visits, using the app)
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Feasibility of the LightSPAN intervention measured using participant recruitment rates, retention rates, adherence to the intervention protocol, and completeness of data collection over a 3-week study period. | — |
Secondary
| Measure | Time frame |
|---|---|
| 1. Usability of the LightUP app measured using the mHealth App Usability Questionnaire (MAUQ) at week 3 (post-intervention). 2. Acceptability of the LightUP app measured using an adapted Technology Acceptance Model (TAM) questionnaire at week 3. 3. Acceptability of wearable devices measured using an adapted Technology Acceptance Model (TAM) questionnaire at week 3. 4. Daily light exposure patterns measured using the ActLumus light logger continuously over the 3-week study period. 5. Rest-activity cycles and digital phenotypes (e.g. sleep, heart rate, steps) measured using the Garmin Vivosmart 5 continuously over the 3-week study period. 6. Daily mood ratings measured using the Single-Item Mood Scale (SIMS) within the LightUP app daily over the 3-week study period. 7. Daily sleep diary within the LightUP app over the 3-week study period 8. Participant feedback on intervention experience collected through qualitative discussions at week 3. 9. NASA Task Load Index scale at week 3. 10. Cognitive performance assessed at week 3 using NIH Toolbox tests (Dimensional Change Card Sort, Face Name Associative Memory Exam, Face Name Associative Memory Exam Delay, Flanker Inhibitory Control and Attention, Oral Symbol Digit, Picture Sequence Memory Form A, Rey Auditory Verbal Learning, Rey Auditory Verbal Learning Delay, Pattern Comparison Processing Speed Test). 11. Sleep quality assessed at week 3 using the Pittsburgh Sleep Quality Index (PSQI). 12. Physical activity measured at week 3 using the Physical Activity Scale for the Elderly (PASE). 13. Mood states assessed at week 3 using the Brief Mood Introspection Scale (BMIS). | — |
Countries
Singapore
Contacts
Public ContactResshaya Murukesu
Outcome results
None listed