Integrating Mobile Sensing and Machine Learning for Early Detection and Personalized Management of Chronic Diseases DOI

G.D.T. Piyumika,

K.V.N. Basnayaka,

H.A. Hewage

et al.

Published: Dec. 7, 2023

Obesity, heart disease, diabetes, and depression have all been linked to insufficient sleep. Analysis of one's sleep habits using smartphone has gained popularity as a possible solution. In this paper, we provide framework for analyzing mobile devices. Because their widespread availability extensive sensor suite, cellphones are being use in research. Motion orientation sensors audio recorders used analysis. Both head body motions tracked by the gyroscope accelerometer, respectively. The microphone is sensitive enough pick up noises like snoring. Approaches analysis on smartphones range widely. Sensor data may be analyzed machine learning algorithms. These systems can distinguish between light, deep, REM from motion sound sensors. Gather information about your surveys or questionnaires Pittsburgh Sleep Quality Index (PSQI) Epworth Sleepiness Scale (ESS). patterns with device several benefits. It's simple non-invasive way study how you Second, it offers continuous monitoring sleep, which might lead identification resolution disorders. Third, objective diagnosis disorders development individualized treatment plans. slumber shed light our sleeping encourage healthy ones. Machine algorithms two methods quality smartphone. Smartphone-based studies easy implement conduct, they reliable, nightly slumber.

Language: Английский

Cognitive Infocommunications DOI
Ildikó Horváth, Borbála Berki, Anna Sudár

et al.

Studies in big data, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 31

Published: Jan. 1, 2024

Citations

18

Sleep Quality in Academic Performance of Engineering Students DOI Creative Commons
Pedro Pablo Rosales López, Mercedes Puca Pacheco,

Enrique Tacuri Calanchi

et al.

Journal of Ecohumanism, Journal Year: 2025, Volume and Issue: 4(1)

Published: Jan. 17, 2025

This research corresponds to a completely randomized blocked factorial experimental design. The independent variable Sleep Quality is used as factor and the Control of academic progress (evaluations) blocks, response performance. was carried out at Faculty Industrial Engineering public university in city Lima - Peru. To determine quality sleep, Pittsburgh Index variable, average grades students from first evaluations semester were used. results consistent with hypotheses proposed by authors, that is; sleep affects performance students.

Language: Английский

Citations

1

Relationship between Problematic Smartphone Use, Sleep Quality and Bedtime Procrastination: A Mediation Analysis DOI Creative Commons
Santiago Correa-Iriarte, Sergio Hidalgo-Fuentes, Manuel Martí Vilar

et al.

Behavioral Sciences, Journal Year: 2023, Volume and Issue: 13(10), P. 839 - 839

Published: Oct. 13, 2023

The purpose of this investigation was to study the relationship between sleep quality, problematic smartphone use (PSU) and bedtime procrastination, as well assess gender age differences. A total 313 participants, aged 18-60 (

Language: Английский

Citations

21

Problematic smartphone use and mental health outcomes among Singapore residents: The health and lifestyle survey DOI Creative Commons
Mythily Subramaniam, Yen Sin Koh, Rajeswari Sambasivam

et al.

Asian Journal of Psychiatry, Journal Year: 2024, Volume and Issue: 98, P. 104124 - 104124

Published: June 21, 2024

The excessive use of smartphones and its association with adverse outcomes has been widely reported, several studies showing an between smartphone overuse, depression, anxiety, sleep related problems. study used data from the Health Lifestyle Survey - a nationwide population survey primarily aimed to examine prevalence Problematic Smartphone Use (PSU) mental health among Singapore residents aged 15-65 years. were assessed for PSU using Addiction Scale-Short Version, psychological distress Patient Questionnaire-9, Generalised Anxiety Disorder -7 questionnaire, problems Insomnia Severity Index, positive Rapid Positive Mental Instrument. In all 6509 participants completed survey, giving response rate 73.2%. was 30.2% in population. Individuals more likely have symptoms moderate or severe depression (OR: 3.2, 95% CI: 2.4-4.4), anxiety 3.4, 2.4-4.8), insomnia 2.8-4.2), poorer (β: -0.3, -0.4 -0.2). is first national sample Singaporeans across wide age range. It provides valuable insights on comorbidities those which useful practitioners.

Language: Английский

Citations

6

Exploring mHealth applications for self-management of chronic low back pain: A survey of features and benefits DOI Creative Commons
Saba Kheirinejad, Aku Visuri, Sharadhi Alape Suryanarayana

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(6), P. e16586 - e16586

Published: May 26, 2023

The adoption of Mobile Health (mHealth) for self-management is growing. mHealth solutions are commonly used in public healthcare and health services, where they appreciated their ease use, broad reach, wide acceptance. Chronic Low Back Pain (CLBP) one the most common problems a leading cause disability. As such, it imposes tremendous burden on patients society. Studies have proposed that solutions, such as mobile applications, can supplement traditional care methods benefit patients, particularly self-managing CLBP easier. To this end, number available applications has increased. This paper i) provides an overview scientific studies management from three different viewpoints: researchers, professionals, ii) uncovers application features were seen beneficial studies, iii) contrasts currently Google Play Store Apple App against discovered features. findings show "Personalization customization" significant feature stakeholders' viewpoint represented by applications. In contrast, "Gamification" "Artificial intelligence" least features, indicating lack attention creators researchers area.

Language: Английский

Citations

11

Effects of evening smartphone use on sleep and declarative memory consolidation in male adolescents and young adults DOI Creative Commons
Christopher Höhn, Michael A Hahn,

Georg Gruber

et al.

Brain Communications, Journal Year: 2024, Volume and Issue: 6(3)

Published: Jan. 1, 2024

Abstract Exposure to short-wavelength light before bedtime is known disrupt nocturnal melatonin secretion and can impair subsequent sleep. However, while it has been demonstrated that older adults are less affected by light, there limited research exploring differences between adolescents young adults. Furthermore, remains unclear whether the effects of evening on sleep architecture extend sleep-related processes, such as declarative memory consolidation. Here, we recorded polysomnography from 33 male (15.42 ± 0.97 years) 35 (21.51 2.06 in a within-subject design during three different nights investigate impact reading for 90 min either smartphone with or without blue-light filter printed book. We measured subjective sleepiness, secretion, physiology sleep-dependent While sleepiness remained unaffected, observed significant attenuation effect both age groups immediately after filter. Interestingly, fully recovered following 50 bedtime, whereas still, at exhibited significantly reduced levels. Sleep-dependent consolidation coupling spindles slow oscillations were not groups. Nevertheless, showed reduction N3 first night quarter. In summary, avoiding use last hour advisable prevent disturbances. Our empirically supports general hygiene advice inform future recommendations regarding smartphones other screen-based devices bedtime.

Language: Английский

Citations

4

PillowTalk 2.0 DOI

Edwina Portocarrero,

Borbála Tölgyesi

Published: Feb. 25, 2025

Citations

0

Predictors of the Intention to Stop Using Smart Devices at Bedtime Among University Students in Saudi Arabia: Cross-Sectional Survey DOI Creative Commons
Manal Almalki

JMIR Formative Research, Journal Year: 2025, Volume and Issue: 9, P. e67223 - e67223

Published: March 10, 2025

Background The widespread use of smart devices, particularly among university students, has raised concerns about their impact on sleep quality. Bedtime usage devices is associated with disruptions and poor Objective This study aimed to explore the behavioral perceptual factors influencing students’ intention stop using at bedtime in Saudi Arabia. Methods A cross-sectional survey was conducted June 2024 distributed via social media platforms students (aged ≥18 years). questionnaire collected data demographics, device habits, perceived negative effects sleep, physical disturbances. Pittsburgh Sleep Quality Index used assess Path analysis performed evaluate relationships between outcome variables, intended usage, 3 latent variables: quality smartphone effects, during past month. Model fit assessed chi-square, comparative index, root mean square error approximation. Results Of 774 participants, 90.43% (700/774) reported every night 72.48% (561/774) believed negatively affected them next morning. most frequently next-morning symptoms were fatigue or drowsiness (480/774, 62.01%). Common purposes for staying touch friends family (432/774, 55.81%), entertainment (355/774, 45.86%), filling up spare time (345/774, 44.57%). Overall, 58.26% (451/774) expressed an within months. demonstrated that frequent nightly (path coefficient=0.36) after-lights-off (0.49) positively stop, whereas spending ≥3 hours (–0.35) engaging multiple activities (–0.18) had associations. strongest predictors well-being (0.71) difficulty breathing comfortably (0.64). excellent (comparative index=0.845 approximation=0.039). Conclusions Perceived disturbances are strong Interventions improving hygiene should focus raising awareness addressing behaviors such as late-night heavy screen time. Public health strategies target both psychological physiological aspects improve this population.

Language: Английский

Citations

0

Electronic Screen Use and Sleep Duration and Timing in Adults DOI Creative Commons
Charlie Zhong, Matthew Masters, Sidney M. Donzella

et al.

JAMA Network Open, Journal Year: 2025, Volume and Issue: 8(3), P. e252493 - e252493

Published: March 27, 2025

Importance Electronic screen use before bed may disrupt circadian rhythms, leading to poorer sleep. Objective To investigate the association between and sleep outcomes among adults. Design, Setting, Participants This cross-sectional study included participants in American Cancer Society Prevention Study–3, a prospective cohort of men women from 35 US states Puerto Rico, who responded 2018 survey. Analyses were conducted February 3, 2023, January 10, 2025. Exposures Self-reported electronic hour prior bed. Main Outcomes Measures sleep-wake times (used calculate duration), quality, chronotype. Mean differences for duration bedtimes, prevalence ratios quality calculated by using multivariable linear Poisson regression, respectively. Whether these associations differed chronotype was also examined. Results Of 122 058 (97 658 [80.0%]; median [IQR] age, 56 [47-62] years; range, 27-85 years), 70 638 (57.9%) reported morning Daily 50 289 (41.2%), whereas 21 275 (17.4%) no use. Compared with use, daily associated 33% higher poor (prevalence ratio, 1.33; 95% CI, 1.27-1.39) 7.64 fewer minutes on workdays (95% 6.65-8.63 minutes). The more pronounced evening chronotypes (8.36 minutes; 4.94-11.78 minutes) vs those (5.64 3.98-7.29 5.04 4.03-6.05 nonworkdays. users went 9.33 later 7.61-11.06 minutes), 15.62 11.93-19.31 workdays. similar Conclusions Relevance bedtimes approximately less each week. Associations greater chronotypes, are at risk due social jetlag (ie, misalignment rhythms commitments). These findings confirm disruptions screens not limited children adolescents. Further work is needed understand best mechanisms intervention.

Language: Английский

Citations

0

The Association Between Bedtime Procrastination, Sleep Quality, and Problematic Smartphone Use in Adolescents: A Mediation Analysis DOI
Abdullah Bozkurt, Esen Yıldırım Demirdöğen, Mehmet Akif Akıncı

et al.

Eurasian Journal of Medicine, Journal Year: 2024, Volume and Issue: 56(1), P. 69 - 75

Published: March 1, 2024

This study investigated the relationships between smartphone use, bedtime procrastination, and adolescent sleep quality. Specifically, whether procrastination mediates relationship problematic use (PSU)

Language: Английский

Citations

3