scholarly journals Mobile App Use for Insomnia Self-Management in Urban Community-Dwelling Older Korean Adults: Retrospective Intervention Study (Preprint)

2020 ◽  
Author(s):  
Kyungmi Chung ◽  
Seoyoung Kim ◽  
Eun Lee ◽  
Jin Young Park

BACKGROUND As an evidence-based psychotherapy for treating insomnia, cognitive behavioral therapy for insomnia (CBT-I), which helps people with sleep problems to change their unhelpful sleep-related beliefs and habits, has been well-established in older adults. Recently, the utilization of mobile CBT-I apps has been getting attention from mental health professionals and researchers; however, whether mobile CBT-I apps are usable among older users has yet to be determined. OBJECTIVE The aims of this study were to explore the relationships between subjective sleep quality and subjective memory complaints and depressive symptoms; to explore the relationship between perceived difficulty in mobile app use and usability of the mobile phone–based self-help CBT-I app, named MIND MORE, in urban community-dwelling Korean older adults; to compare changes in subjective sleep quality from pre-intervention to post-intervention, during which they used the mobile app over a 1-week intervention period; and evaluate adherence to the app. METHODS During the 2-hour training program delivered on 1 day titled “Overcoming insomnia without medication: How to use the ‘MIND MORE’ mobile app for systematic self-management of insomnia” (pre-intervention), 41 attendants were asked to gain hands-on experience with the app facilitated by therapists and volunteer workers. They were then asked to complete questionnaires on sociodemographic characteristics, subjective evaluation of mental health status (ie, depression, memory loss and impairment, and sleep problems), and app usability. For the 1-week home-based self-help CBT-I using the app (post-intervention), 9 of the 41 program attendants, who had already signed up for the pre-intervention, were guided to complete the given questionnaires on subjective evaluation of sleep quality after the 1-week intervention, specifically 8 days after the training program ended. RESULTS Due to missing data, 40 of 41 attendants were included in the data analysis. The main findings of this study were as follows. First, poor subjective sleep quality was associated with higher ratings of depressive symptoms (40/40; ρ=.60, <i>P</i>&lt;.001) and memory complaints (40/40; ρ=.46, <i>P</i>=.003) at baseline. Second, significant improvements in subjective sleep quality from pre-intervention to post-intervention were observed in the older adults who used the MIND MORE app only for the 1-week intervention period (9/9; <i>t</i><sub>8</sub>=3.74, <i>P</i>=.006). Third, apart from the program attendants who did not have a smartphone (2/40) or withdrew from their MIND MORE membership (3/40), those who attended the 1-day sleep education program adhered to the app from at least 2 weeks (13/35, 37%) to 8 weeks (2/35, 6%) without any further contact. CONCLUSIONS This study provides empirical evidence that the newly developed MIND MORE app not only is usable among older users but also could improve subjective sleep quality after a 1-week self-help intervention period.

10.2196/17755 ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. e17755
Author(s):  
Kyungmi Chung ◽  
Seoyoung Kim ◽  
Eun Lee ◽  
Jin Young Park

Background As an evidence-based psychotherapy for treating insomnia, cognitive behavioral therapy for insomnia (CBT-I), which helps people with sleep problems to change their unhelpful sleep-related beliefs and habits, has been well-established in older adults. Recently, the utilization of mobile CBT-I apps has been getting attention from mental health professionals and researchers; however, whether mobile CBT-I apps are usable among older users has yet to be determined. Objective The aims of this study were to explore the relationships between subjective sleep quality and subjective memory complaints and depressive symptoms; to explore the relationship between perceived difficulty in mobile app use and usability of the mobile phone–based self-help CBT-I app, named MIND MORE, in urban community-dwelling Korean older adults; to compare changes in subjective sleep quality from pre-intervention to post-intervention, during which they used the mobile app over a 1-week intervention period; and evaluate adherence to the app. Methods During the 2-hour training program delivered on 1 day titled “Overcoming insomnia without medication: How to use the ‘MIND MORE’ mobile app for systematic self-management of insomnia” (pre-intervention), 41 attendants were asked to gain hands-on experience with the app facilitated by therapists and volunteer workers. They were then asked to complete questionnaires on sociodemographic characteristics, subjective evaluation of mental health status (ie, depression, memory loss and impairment, and sleep problems), and app usability. For the 1-week home-based self-help CBT-I using the app (post-intervention), 9 of the 41 program attendants, who had already signed up for the pre-intervention, were guided to complete the given questionnaires on subjective evaluation of sleep quality after the 1-week intervention, specifically 8 days after the training program ended. Results Due to missing data, 40 of 41 attendants were included in the data analysis. The main findings of this study were as follows. First, poor subjective sleep quality was associated with higher ratings of depressive symptoms (40/40; ρ=.60, P<.001) and memory complaints (40/40; ρ=.46, P=.003) at baseline. Second, significant improvements in subjective sleep quality from pre-intervention to post-intervention were observed in the older adults who used the MIND MORE app only for the 1-week intervention period (9/9; t8=3.74, P=.006). Third, apart from the program attendants who did not have a smartphone (2/40) or withdrew from their MIND MORE membership (3/40), those who attended the 1-day sleep education program adhered to the app from at least 2 weeks (13/35, 37%) to 8 weeks (2/35, 6%) without any further contact. Conclusions This study provides empirical evidence that the newly developed MIND MORE app not only is usable among older users but also could improve subjective sleep quality after a 1-week self-help intervention period.


2018 ◽  
pp. 1-6
Author(s):  
M. LOCQUET ◽  
C. BEAUDART ◽  
L. DELANDSHEERE ◽  
J.-Y. REGINSTER ◽  
O. BRUYÈRE

Background: It seems that sleep quality could impact the physiological process related to loss of muscle mass. Objectives: We seek to compare subjective sleep quality of sarcopenic and non-sarcopenic subjects diagnosed according to 6 definitions. Design: Cross-sectional data used in this analysis were collected from the SarcoPhAge (Sarcopenia & Physical Impairment with Advancing Age) cohort, a prospective study aiming to assess clinical parameters linked to sarcopenia. Participants: The present study was interested in community-dwelling older adults with and without sarcopenia. Measurements – A diagnosis of sarcopenia was established according to 6 definitions. Three assessments were carried out: an evaluation of lean mass, a measurement of muscle strength and an assessment of physical performance. In addition, to evaluate the parameters of subjective sleep, we used the Pittsburgh Sleep Quality Index (PSQI), a self-administered questionnaire evaluating 7 components of sleep architecture. Results: A total of 255 individuals aged 74.7±5.8 years were included. Based on the 6 different definitions, the prevalence of sarcopenia ranged from 5.9% to 32.5%. There was no significant difference between sarcopenic and non-sarcopenic subjects regarding most of the components of subjective sleep quality. However, the definition of Cruz-Jentoft et al. (2010) indicated that sarcopenic subjects had higher scores than non-sarcopenic subjects for two components: sleep latency and day-time dysfunction (p=0.03 and p=0.04, adjusted for confounders). Moreover, some parameters of sleep quality were correlated with components of sarcopenia. Conclusions: Some properties of subjective sleep quality seem to be associated with sarcopenia and seem correlated with at least one of the three components of the condition.


2020 ◽  
Vol 34 (4) ◽  
pp. 305-315
Author(s):  
Phenphop Phansuea ◽  
Sookjaroen Tangwongchai ◽  
Thanapoom Rattananupong ◽  
Vitool Lohsoonthorn ◽  
Somrat Lertmaharit

PurposeThe purpose of this study was to determine the effectiveness of a Qigong program on older adults in the Thai community suffering from mild to moderate depression.Design/methodology/approachA randomized controlled trial study was conducted in a public health service (PHS) center setting. Sixty-six older adults aged 60–90 years with mild to moderate depressive symptoms measured by the Thai Geriatric Depression Scale (TGDS: scores 13–24) were recruited and randomly allocated into two groups. The subjective sleep quality was assessed using the Thai version of the Pittsburgh Sleep Quality Index (TPSQI). The Qigong program group was given 12 weeks of Qigong training including three sessions per week, while the control group followed normal PHS activities (singing and praying). The outcome measure was the change in the TGDS from baseline to 12 weeks.FindingsParticipants in the Qigong program group had a significantly improved TPSQI global score (p < 0.001), subjective sleep quality (p < 0.001), and sleep latency (p < 0.05) after 12 weeks of intervention, while those in the control group showed no significant difference in sleep quality. Compared with the control group, the Qigong program group reported significantly better sleep quality throughout the 12-week period. The prevalence of poor sleep quality in this population was 82 percent.Originality/valueThis study confirmed that the Qigong program could improve sleep quality in older adults with mild to moderate depressive symptoms as the Qigong program conferred more significant improvements than the usual program.


2021 ◽  
Author(s):  
Yvonne Kutzer ◽  
Lisa Whitehead ◽  
Eimear Quigley ◽  
Shih Ching Fu ◽  
Mandy Stanley

BACKGROUND The current Covid-19 pandemic has brought about a marked interest in sleep health, as well as an increased demand for telehealth services, such as online Cognitive Behavioral Therapy for insomnia (CBT-I). Older adults in particular report a high rate of sleep problems. Recent studies have suggested that dysfunctional sleep beliefs could contribute to the high rates of self-reported insomnia in this age group. In addition, older adults have an increased rate of uncoupled sleep, e.g. displaying an insomnia complaint in the absence of objectively measured poor sleep. It is essential to determine the prevalence of coupled and uncoupled sleep in older adults and to examine the efficacy of online CBT-I to improve sleep outcomes. OBJECTIVE This study aims to assess objective and subjective sleep quality and dysfunctional sleep beliefs in a sample of community-dwelling older adults aged 60-80 years with and without uncoupled sleep in Western Australia following digitally delivered CBT-I. METHODS Objective sleep was measured using wrist actigraphy, and subjective sleep quality via sleep diaries and the Pittsburgh Sleep Quality Index (PSQI). Dysfunctional sleep beliefs were assessed by the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) prior to and following a four-week online CBT-I programme. Linear mixed model and generalised linear mixed model analyses were conducted to examine objective and subjective sleep onset latency, total sleep time, wake after sleep onset and number of awakenings as well as PSQI and DBAS16 scores, respectively. RESULTS 62 participants (55 females; 88.7%) completed the study. CBT-I effectively reduced dysfunctional sleep beliefs and PSQI scores across all sleep classifications, even in good sleepers without a sleep complaint. Objective and self-reported changes in sleep parameters were mainly demonstrated in complaining poor sleepers. Complaining good sleepers reported a decrease in the number of subjective sleep awakenings only. CONCLUSIONS Online CBT-I was effective in improving the sleep outcomes of individuals who had both subjective and objective poor sleep. However, as the online CBT-I reduced dysfunctional sleep beliefs in all sleep groups, further examination of dysfunctional sleep beliefs and whether they mediate the outcomes of digital CBT-I in older adults will need to be conducted. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR), ACTRN 12619001509156; http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378451 INTERNATIONAL REGISTERED REPORT RR2-32705


Author(s):  
Serena Malloggi ◽  
Francesca Conte ◽  
Giorgio Gronchi ◽  
Gianluca Ficca ◽  
Fiorenza Giganti

Although sleep problems at young ages are well investigated, the prevalence of bad sleepers and the determinants of sleep quality perception remain unexplored in these populations. For this purpose, we addressed these issues in a sample of children (n = 307), preadolescents (n = 717), and adolescents (n = 406) who completed the School Sleep Habits Survey, addressing sleep quality perception, sleep habits, sleep features, daytime behavior and sleep disturbances, circadian preference, and dreaming. The sample was split in “good sleepers” and “bad sleepers”, based on the answer to the question item assessing overall subjective sleep quality. Being a bad sleeper was reported by 11.7% of the sample, with significant between-groups differences (children: 8.3%; preadolescents: 11.3%; adolescents: 15.3%; p = 0.01). At all ages, relative to good sleepers, bad sleepers showed higher eveningness, sleepiness, and depression, longer sleep latency, more frequent insufficient sleep, nocturnal awakenings, sleep–wake behavioral problems, and unpleasant dreams (all p’s ≤ 0.01). Sleep quality perception was predicted: in children, by depressed mood, eveningness, and unpleasant dreams (all p’s ≤ 0.01); in preadolescents, by sleep latency, awakening frequency, depressed mood, sufficiency of sleep, and unpleasant dreams (all p’s < 0.01); in adolescents, by awakening frequency, depressed mood, and sufficiency of sleep (all p’s < 0.001). In children, bad subjective sleep quality appears to be mainly determined by daytime psychological features, for example, depressed mood, whereas at later ages, sleep characteristics, such as frequent awakenings, add to the former determinants. This could depend on (a) the appearance, with increasing age, of objective sleep modifications and (b) a greater attention paid by adolescents to their sleep characteristics.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S169-S169
Author(s):  
Junxin Li ◽  
Sarah Szanton ◽  
Minhui Liu ◽  
Nada Lukkahatai ◽  
Junxin Li ◽  
...  

Abstract Evidence suggests physical activity (PA) improves sleep in older adults. This study examined the preliminary effect of a personalized mHealth behavioral intervention on PA and sleep in older adults. We conducted a randomized controlled pilot trial in 21 community-dwelling older adults with sleep complaints. The 24-week mHealth behavioral intervention included a 2-hour in person training session, personalized exercise prescription, real time PA self-monitoring, interactive prompts, phone consultation, and weekly financial incentives. PA and sleep were measured objectively using Actiwatch 2.0 and subjectively using questionnaires. Peripheral blood was drawn for measuring Plasma inflammatory biomarkers [interleukin 1β, 6, 8, Tumor Necrosis Factor- alpha (TNF-α), and c-reactive protein (CRP)]. Data were collected at baseline, 8-week, 16-week, and post intervention. Repeated measures ANOVA (time*group) was used to examine differences of PA and sleep across times between the two groups. Majority of participants are women (71.4%) with mean age of 73.7 (SD = 6.9). Repeated measure ANOVA showed significant (p &lt;0.05) improvement of objective and subjective PA, objective nocturnal sleep duration, self-report sleep quality (measured by Pittsburg Sleep Quality Index and Insomnia Severity Index) and decreasing of sedentary time over times in the intervention group (n=11), compared to the control group. The intervention group showed significant reduction of plasma TNF-α and CRP levels at 16-week and post intervention. Interventions combining personalized PA and mHealth strategies may positively affect physical activity and sleep in older adults. A larger study is needed to test the efficacy of this intervention and the mechanisms associated with it.


2017 ◽  
Vol 48 (3-4) ◽  
pp. 147-154 ◽  
Author(s):  
V. Eloesa McSorley ◽  
Jayant Pinto ◽  
L. Philip Schumm ◽  
Kristen Wroblewski ◽  
David Kern ◽  
...  

Background: Sleep and olfaction are both critical physiological processes that tend to worsen with age. Decline in olfaction can be an early indicator of neurodegenerative diseases, whereas poor sleep quality is associated with reduced physical and mental health. Given associations with aging-related health declines, we explored whether variations in sleep were associated with olfactory function among older adults. Methods: We assessed the relationship between sleep characteristics and olfaction among 354 community-dwelling older adults. Olfaction was measured using a validated field and survey research tool. Sleep characteristics were measured using wrist actigraphy and with self-report of sleep problems. We fit structural equation models of latent constructs of olfaction based on olfactory task items and let this be a function of each sleep characteristic. Results: Actigraph sleep quality measures were associated with odor identification, but not with odor sensitivity. Longer duration sleepers had worse odor sensitivity compared to medium (58 h) sleepers, but sleep duration was not associated with odor identification. Reported sleep problems and reported usual duration were not associated with olfaction. Conclusions: Diminished sleep quality was associated with reduced capacity to identify odors. Determining whether this is a causal association will require further study and longitudinal data.


Sign in / Sign up

Export Citation Format

Share Document