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The Prognostic Significance of Sleep and Circadian Rhythm for Myocardial Infarction Outcomes: Case-Control Study

The Prognostic Significance of Sleep and Circadian Rhythm for Myocardial Infarction Outcomes: Case-Control Study

Table 2 shows the comparison of the general parametric sleep parameters of actigraphy between the MI group and the healthy control group after controlling for age, gender, and BMI. In the MI group, the average duration of actigraphy monitoring was 5.75 (SD 2.01) days.

Wei-Chih Chin, Pao-Hsien Chu, Lung-Sheng Wu, Kuang-Tso Lee, Chen Lin, Chien-Te Ho, Wei-Sheng Yang, I-Hang Chung, Yu-Shu Huang

J Med Internet Res 2025;27:e63897

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study

Validation of Sleep Measurements of an Actigraphy Watch: Instrument Validation Study

Watch-based actigraphy can efficiently collect multiple nights’ data in a natural environment [12,13]. We assessed i Aide2-measured sleep duration and total sleep time (TST) in participants without sleep disorders and added calibration when needed. To assess free-living sleep, we validated i Aide2 against a second actigraph, the Motion Watch 8 (MW8; Cam Ntech Ltd) [14], using methods similar to other actigraph-to-actigraph comparisons [11,15-17].

Mari Waki, Ryohei Nakada, Kayo Waki, Yuki Ban, Ryo Suzuki, Toshimasa Yamauchi, Masaomi Nangaku, Kazuhiko Ohe

JMIR Form Res 2025;9:e63529

Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study

Developing a Sleep Algorithm to Support a Digital Medicine System: Noninterventional, Observational Sleep Study

Recent studies have focused on the role of actigraphy or the measure of relative activity, namely in sleep and wake cycles, as a means of capturing more natural sleep and wake habits [1,2,5,10-21]. This is typically accomplished utilizing accelerometer (ACC)-based data from small, portable (wristwatch-sized) recording devices.

Jeffrey M Cochran

JMIR Ment Health 2024;11:e62959

Fact or Fiction—Accelerometry Versus Self-Report in Adherence to Pediatric Concussion Protocols: Prospective Longitudinal Cohort Study

Fact or Fiction—Accelerometry Versus Self-Report in Adherence to Pediatric Concussion Protocols: Prospective Longitudinal Cohort Study

Only participants who had complete actigraphy data were included in analyses (n=84). For stage 1, unlimited LPA was permitted, MVPA was limited to ≤2.5% of wear time and no consecutive bouts of ≥5 minutes at any intensity were recommended. In stage 2, baseline activity observed in stage 1 was permitted, as well as an extra 30 minutes of LPA, but no consecutive bouts ≥5 minutes of MVPA were recommended.

Carol DeMatteo, Sarah Randall, Josephine Jakubowski, Kathy Stazyk, Joyce Obeid, Michael Noseworthy, Michael Mazurek, Brian W Timmons, John Connolly, Lucia Giglia, Geoffrey Hall, Chia-Yu Lin, Samantha Perrotta

JMIR Pediatr Parent 2024;7:e57325

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Identifying Person-Specific Drivers of Depression in Adolescents: Protocol for a Smartphone-Based Ecological Momentary Assessment and Passive Sensing Study

Actigraphy has been validated against gold standard lab-based measures of sleep (ie, polysomnography [22]) and physical activity (ie, indirect calorimetry [23]). Smartphone-based EMA and wrist actigraphy have been successfully used with youth [24-26] and can be feasibly used to examine person-specific drivers with depressed adolescents. Smartphone-based mobile sensing may offer advantages over established methods—especially for adolescents—but needs validation.

Mei Yi Ng, Jennifer A Frederick, Aaron J Fisher, Nicholas B Allen, Jeremy W Pettit, Dana L McMakin

JMIR Res Protoc 2024;13:e43931

Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study

Comparing Human-Smartphone Interactions and Actigraphy Measurements for Circadian Rhythm Stability and Adiposity: Algorithm Development and Validation Study

Results showed no significant difference between app-measured and actigraphy-measured sleep onset and wake time, as well as the midpoint of sleep. However, the app-measured WASO was found to be longer (13.5, SD 19.5 minutes) than the actigraphy-measured WASO, resulting in a longer actigraphy-measured TST of 20.2 (SD 66.7) minutes compared to the app-measured TST. The obesity group had a significantly longer TST than the overweight and control groups, regardless of the measurement method.

Hai-Hua Chuang, Chen Lin, Li-Ang Lee, Hsiang-Chih Chang, Guan-Jie She, Yu-Hsuan Lin

J Med Internet Res 2024;26:e50149

Association of Rest-Activity Rhythm and Risk of Developing Dementia or Mild Cognitive Impairment in the Middle-Aged and Older Population: Prospective Cohort Study

Association of Rest-Activity Rhythm and Risk of Developing Dementia or Mild Cognitive Impairment in the Middle-Aged and Older Population: Prospective Cohort Study

In this study, we used data from more than 94,000 participants aged 43-79 years in a large prospective cohort study, the UK Biobank (UKB), with at least 6 continuous days of wrist actigraphy recording and up to 7.5 years of follow-up to examine the association of RAR measures with future risk of dementia or mild cognitive impairment (MCI). We also explored the potential effects of age, genetics, and shiftwork on this association.

Shahab Haghayegh, Chenlu Gao, Elizabeth Sugg, Xi Zheng, Hui-Wen Yang, Richa Saxena, Martin K Rutter, Michael Weedon, Agustin Ibanez, David A Bennett, Peng Li, Lei Gao, Kun Hu

JMIR Public Health Surveill 2024;10:e55211

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Precision Assessment of Real-World Associations Between Stress and Sleep Duration Using Actigraphy Data Collected Continuously for an Academic Year: Individual-Level Modeling Study

Sleep duration can now be passively tracked through continuous actigraphy sensing over months and even years, while perceived stress levels can be probed via brief daily smartphone-based surveys, with high compliance rates in student samples and small participant burden [23-25].

Constanza M Vidal Bustamante, Garth Coombs III, Habiballah Rahimi-Eichi, Patrick Mair, Jukka-Pekka Onnela, Justin T Baker, Randy L Buckner

JMIR Form Res 2024;8:e53441