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Background <p>Older adults with insomnia who use benzodiazepine receptor agonists (BZAs) may be at increased risk of cognitive impairment. Cognitive testing outside of clinical settings may yield results that are more reflective of individuals’ cognition in their natural environment, where they experience fluctuations in mental state (e.g. drowsiness). We assessed the feasibility of self-administered cognitive testing via smartphone apps for collecting in-moment, in-context data about a person’s current state (ecological momentary assessment, EMA).</p> Methods <p>Participants (<i>n</i> = 20; median age 66 years; 14 females, 18 white) aged ≥ 55 years who were recruited from a BZA deprescribing trial were invited to complete (over a 28 day period) daily drowsiness assessments on an EMA app (cued by smartwatch alerts) and weekly self-administered digit span (DGS) forward/backward (2 [minimum] – 9 [maximum]), verbal paired associates (VPA; 0 [best]—24 [worst] total errors), and cued delayed recall of VPA (VPA-DR; 0 [best] – 8 [worst] errors) tests on a cognitive app. We assessed the completion of EMA (0–28 days) and cognitive sessions (# of participants per # sessions completed). We performed thematic analysis of the participant interviews.</p> Results <p>The median number of days that EMA was completed was 24.5. Twelve (60%) individuals participated in 4 sessions; 2 (10%) individuals participated in 3 sessions; 2 (10%) individuals participated in 2 sessions; and 4 (20%) individuals participated in 1 session. No drowsiness was reported 36% of the time, whereas 38% of the responses reflected feeling “a little bit” drowsy and 26% at least “somewhat” drowsy. Mean cognitive test scores were DGS-Forward = 7 (SD 1.3), DGS-Backward = 5.6 (SD 1.0), VPA total errors = 9.9 (SD 3.7), and VPA-DR = 2.2 (SD 1.9). Three themes emerged from the participant interviews: 1) concern for one’s own cognitive abilities, 2) strategies employed for optimizing scores (including strategies that would invalidate results), and 3) ease of use of the applications.</p> Conclusions <p>Our findings indicate that mobile cognitive tests and EMAs are feasible in this older population. Further work is needed to understand how scores are influenced by the setting, mood, and behaviors.</p>

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Feasibility of cognitive testing and ecological momentary assessments using smartphones in middle aged and older adults with insomnia

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Sara Ghadimi,
  • Jason Ereso,
  • Alexander J. Kaula,
  • Nick Taptiklis,
  • Francesca Cormack,
  • Cathy Alessi,
  • Jennifer L. Martin,
  • Joseph M. Dzierzewski,
  • Arash Naeim,
  • Sarah Kremen,
  • Tue Te,
  • Constance H. Fung

摘要

Background

Older adults with insomnia who use benzodiazepine receptor agonists (BZAs) may be at increased risk of cognitive impairment. Cognitive testing outside of clinical settings may yield results that are more reflective of individuals’ cognition in their natural environment, where they experience fluctuations in mental state (e.g. drowsiness). We assessed the feasibility of self-administered cognitive testing via smartphone apps for collecting in-moment, in-context data about a person’s current state (ecological momentary assessment, EMA).

Methods

Participants (n = 20; median age 66 years; 14 females, 18 white) aged ≥ 55 years who were recruited from a BZA deprescribing trial were invited to complete (over a 28 day period) daily drowsiness assessments on an EMA app (cued by smartwatch alerts) and weekly self-administered digit span (DGS) forward/backward (2 [minimum] – 9 [maximum]), verbal paired associates (VPA; 0 [best]—24 [worst] total errors), and cued delayed recall of VPA (VPA-DR; 0 [best] – 8 [worst] errors) tests on a cognitive app. We assessed the completion of EMA (0–28 days) and cognitive sessions (# of participants per # sessions completed). We performed thematic analysis of the participant interviews.

Results

The median number of days that EMA was completed was 24.5. Twelve (60%) individuals participated in 4 sessions; 2 (10%) individuals participated in 3 sessions; 2 (10%) individuals participated in 2 sessions; and 4 (20%) individuals participated in 1 session. No drowsiness was reported 36% of the time, whereas 38% of the responses reflected feeling “a little bit” drowsy and 26% at least “somewhat” drowsy. Mean cognitive test scores were DGS-Forward = 7 (SD 1.3), DGS-Backward = 5.6 (SD 1.0), VPA total errors = 9.9 (SD 3.7), and VPA-DR = 2.2 (SD 1.9). Three themes emerged from the participant interviews: 1) concern for one’s own cognitive abilities, 2) strategies employed for optimizing scores (including strategies that would invalidate results), and 3) ease of use of the applications.

Conclusions

Our findings indicate that mobile cognitive tests and EMAs are feasible in this older population. Further work is needed to understand how scores are influenced by the setting, mood, and behaviors.