Journal of Technology in Behavioral Science, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 8, 2024
Язык: Английский
Psychiatry Research, Год журнала: 2025, Номер unknown, С. 116483 - 116483
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
npj Mental Health Research, Год журнала: 2025, Номер 4(1)
Опубликована: Апрель 18, 2025
Abstract Seasonal and weather changes can significantly impact depression severity, yet findings remain inconsistent across populations. This study explored variations the seasons interplays between changes, physical activity, severity among 428 participants in a real-world longitudinal mobile health study. Clustering analysis identified four participant subgroups with distinct patterns of 1 year. While one subgroup showed stable levels throughout year, others peaked at various seasons. The had older lower baseline severity. Mediation revealed temperature day length influenced which turn impacted activity indirectly. Notably, these indirect influences manifested differently or even oppositely varying responses to weather. These support hypothesis heterogeneity individuals’ seasonal weather, underscoring necessity for personalized approaches management treatment.
Язык: Английский
Процитировано
0
Journal of Medical Internet Research, Год журнала: 2024, Номер 26, С. e51875 - e51875
Опубликована: Июль 26, 2024
The objective, unobtrusively collected GPS features (eg, homestay and distance) from everyday devices like smartphones may offer a promising augmentation to current assessment tools for depression. However, date, there is no systematic meta-analytical evidence on the associations between
Язык: Английский
Процитировано
3
Journal of Attention Disorders, Год журнала: 2023, Номер 27(9), С. 1040 - 1050
Опубликована: Июнь 2, 2023
We assessed the feasibility and validity of remote researcher-led administration self-administration modified versions two cognitive tasks sensitive to ADHD, a four-choice reaction time task (Fast task) combined Continuous Performance Test/Go No-Go (CPT/GNG), through new measurement technology system.
Язык: Английский
Процитировано
8
Frontiers in Marine Science, Год журнала: 2023, Номер 10
Опубликована: Июль 20, 2023
China is one of the major mariculture countries for shellfish in world and provides more than 70% total global production. However, there limited knowledge potential driving factors ecosystem service value China. Understanding what how they drive can provide reference further improving shellfish, which both theoretically practically important promoting development marine fishery economy In this study, data six species nine coastal provinces from 2009 to 2020 were analyzed using a structural equation modeling approach quantify effects resource distribution characteristics market demand on The results indicated that are Specifically, perspective path coefficient, plays role (0.58) (0.36) influencing Therefore, research culture be summarized as: (1) actively respond changes demand, (2) enhance planning cultivation area, (3) strengthen systematic management resources. Results study could theoretical support serve as basis sustainable culturing industry fisheries
Язык: Английский
Процитировано
7
JMIR Mental Health, Год журнала: 2024, Номер 11, С. e51259 - e51259
Опубликована: Май 8, 2024
Abstract Background The use of digital biomarkers through remote patient monitoring offers valuable and timely insights into a patient’s condition, including aspects such as disease progression treatment response. This serves complementary resource to traditional health care settings leveraging mobile technology improve scale lower latency, cost, burden. Objective Smartphones with embedded connected sensors have immense potential for improving various apps (mHealth) platforms. capability could enable the development reliable from long-term longitudinal data collected remotely patients. Methods We built an open-source platform, RADAR-base, support large-scale collection in studies. RADAR-base is modern platform around Confluent’s Apache Kafka scalability, extensibility, security, privacy, quality data. It provides study design setup active (eg, patient-reported outcome measures) passive phone sensors, wearable devices, Internet Things) capabilities feature generation behavioral, environmental, physiological markers). back end enables secure transmission scalable solutions storage, management, access. Results has been used successfully collect cohorts number areas multiple sclerosis, depression, epilepsy, attention-deficit/hyperactivity disorder, Alzheimer disease, autism, lung diseases. Digital developed are providing useful different Conclusions contemporary, solution driven by community monitoring, collecting data, digitally characterizing both physical mental conditions. Clinicians ability enhance their insight biomarkers, enabling improved prevention, personalization, early intervention context management.
Язык: Английский
Процитировано
1
Research Square (Research Square), Год журнала: 2022, Номер unknown
Опубликована: Май 12, 2022
Abstract Recent growth in remote studies has shown the effectiveness of digital health technologies recruiting and monitoring behavior large diverse populations interest real-world settings. However, retaining engaging participants to monitor their long-term trajectories remained a significant challenge. Uneven participant engagement combined with attrition over course study could lead imbalanced cohort data collection, which may severely impact generalizability evidence.We report findings from retention patterns multinational depression up two years monitoring. In total, 614 14,964 surveys 135,014 days phone passive wearable (Fitbit) were analyzed using survival unsupervised clustering methods. A considerable proportion (N=415; 67.6%) retained during first 43 weeks study. Clustering participants’ usage apps wearables showed three distinct subgroups different levels (most, middle, least). Notable comparing participants' characteristics across these were: 1.) Participants (33.2%; N= 204) highest baseline severity (4 points higher PHQ8 score, p < .01) least engaged group (median bi-weekly completed = 4) compared most (37.6%; N 231) that on average 20 surveys. 2.) (44.6%; 91) still contributed for 10 months. 3.) The also took significantly longer responding naturalistic settings (3.8 hours more, .001) younger (age difference 5 years, comparison group. Our show various factors such as socio-demographics, app behavior, can be linked density collected research studies. Finally, gathered without additional burden advantages active survey monitoring, providing greater contiguity duration collected. Together inform design future enable equitable balanced collection target populations.
Язык: Английский
Процитировано
5
JMIR Formative Research, Год журнала: 2023, Номер 7, С. e42935 - e42935
Опубликована: Янв. 27, 2023
Various behavioral sensing research studies have found that depressive symptoms are associated with human-smartphone interaction behaviors, including lack of diversity in unique physical locations, entropy time spent each location, sleep disruption, session duration, and typing speed. These measures often tested against the total score symptoms, recommended practice to disaggregate within- between-person effects longitudinal data is neglected.We aimed understand depression as a multidimensional process explore association between specific dimensions computed from passively sensed interactions. We also highlight nonergodicity psychological processes importance disaggregating analysis.Data used this study were collected by Mindstrong Health, telehealth provider focuses on individuals serious mental illness. Depressive measured Diagnostic Statistical Manual Mental Disorders Fifth Edition (DSM-5) Self-Rated Level 1 Cross-Cutting Symptom Measure-Adult Survey every 60 days for year. Participants' interactions their smartphones recorded, 5 developed expected be according either theoretical proposition or previous empirical evidence. Multilevel modeling was relations severity these measures. Furthermore, disaggregated accommodate commonly processes.This included 982 records DSM symptom measurements corresponding 142 participants (age range 29-77 years; mean age 55.1 years, SD 10.8 96 female participants). Loss interest pleasurable activities app count (γ10=-0.14; P=.01; within-person effect). Depressed mood interval (γ05=0.88; P=.047; effect) duration (γ05=-0.37; P=.03; effect).This contributes new evidence associations behaviors dimensional perspective, it highlights considering analyzing separately.
Язык: Английский
Процитировано
2
JMIR Formative Research, Год журнала: 2023, Номер 7, С. e45309 - e45309
Опубликована: Март 6, 2023
Despite significant research done on youth experiencing homelessness, few studies have examined movement patterns and digital habits in this population. Examining these behaviors may provide useful data to design new health intervention models for homelessness. Specifically, passive collection (data collected without extra steps a user) insights into lived experience user needs putting an additional burden homelessness inform design.The objective of study was explore mobile phone Wi-Fi usage GPS location among Additionally, we further the relationship between as correlated with depression posttraumatic stress disorder (PTSD) symptoms.A total 35 adolescent young adult participants were recruited from general community that included installing sensor acquisition app (Purple Robot) up 6 months. Of participants, 19 had sufficient conduct analyses. At baseline, completed self-reported measures (Patient Health Questionnaire-9 [PHQ-9]) PTSD (PTSD Checklist DSM-5 [PCL-5]). Behavioral features developed extracted data.Almost all (18/19, 95%) used private networks most their noncellular connectivity. Greater associated higher PCL-5 score (P=.006). entropy, representing amount variability time spent across identified clusters, also severity both (P=.007) PHQ-9 (P=.045) scores.Location demonstrated associations symptoms, while only symptom severity. While be conducted establish consistency findings, they suggest offer could tailor interventions.
Язык: Английский
Процитировано
2
JMIR Formative Research, Год журнала: 2023, Номер 7, С. e45254 - e45254
Опубликована: Март 30, 2023
Patients with substance use disorders (SUDs) are at increased risk for symptom deterioration following treatment, up to 60% resuming within the first year posttreatment. Substance craving together cognitive and mental health variables play important roles in understanding of trajectories from abstinence use.This prospective observational feasibility study aims improve our specific profiles explaining SUD deterioration, particular, how individual variability health, functioning, smartphone is associated a young adult clinical population.In this pilot study, 26 patients SUDs were included about 2 weeks prior discharge inpatient treatment 3 different facilities Norway. underwent baseline neuropsychological assessments; they equipped smartwatches downloaded an app mobile sensor data collection their smartphones. Every days 8 weeks, administered ecological momentary assessments (EMAs) evaluate use, craving, cognition, Go/NoGo performance task. Repeated EMAs as well smartphone's battery averaged across all per used candidate input measures models intensity occurrence any episodes.A total 455 completed out potential maximum 728 assessments. Using EMA responses, model selection identified mean most predictor having one or more episodes variabilities self-reported impulsivity, significant explanatory intensity.This adds novelty by collecting high-intensity considerable period time, including data, assessments, data. Our also contributes knowledge population severe presentations vulnerable during after treatment. We confirmed importance function mood that usage may possibly add understanding. Further, we found variable episodes.
Язык: Английский
Процитировано
2