Novel digital methods for gathering intensive time series data in mental health research: scoping review of a rapidly evolving field
A Schick, C Rauschenberg, L Ader… - Psychological …, 2023 - cambridge.org
Recent technological advances enable the collection of intensive longitudinal data. This
scoping review aimed to provide an overview of methods for collecting intensive time series …
scoping review aimed to provide an overview of methods for collecting intensive time series …
Digital health data-driven approaches to understand human behavior
LA Marsch - Neuropsychopharmacology, 2021 - nature.com
Advances in digital technologies and data analytics have created unparalleled opportunities
to assess and modify health behavior and thus accelerate the ability of science to …
to assess and modify health behavior and thus accelerate the ability of science to …
Designing daily-life research combining experience sampling method with parallel data
BackgroundAmbulatory monitoring is gaining popularity in mental and somatic health care
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …
to capture an individual's wellbeing or treatment course in daily-life. Experience sampling …
[HTML][HTML] Big data in mental health: a challenging fragmented future
D Hidalgo‐Mazzei, A Murru, M Reinares, E Vieta… - World …, 2016 - ncbi.nlm.nih.gov
Big Data has been a buzzword in almost every possible field during the last few years. The
rapid integration of massive amounts of information from diverse sources fed the hope for a …
rapid integration of massive amounts of information from diverse sources fed the hope for a …
No time like the present: Discovering the hidden dynamics in intensive longitudinal data
EL Hamaker, M Wichers - Current Directions in …, 2017 - journals.sagepub.com
There has been a strong increase in the number of studies based on intensive longitudinal
data, such as those obtained with experience sampling and daily diaries. These data …
data, such as those obtained with experience sampling and daily diaries. These data …
Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression
Most people with mental health disorders cannot receive timely and evidence-based care
despite billions of dollars spent by healthcare systems. Researchers have been exploring …
despite billions of dollars spent by healthcare systems. Researchers have been exploring …
Beyond smartphones and sensors: choosing appropriate statistical methods for the analysis of longitudinal data
Objectives As smartphones and sensors become more prominently used in mobile health,
the methods used to analyze the resulting data must also be carefully considered. The …
the methods used to analyze the resulting data must also be carefully considered. The …
Digital innovations for global mental health: opportunities for data science, task sharing, and early intervention
JA Naslund, PP Gonsalves, O Gruebner… - … treatment options in …, 2019 - Springer
Purpose Globally, individuals living with mental disorders are more likely to have access to a
mobile phone than mental health care. In this commentary, we highlight opportunities for …
mobile phone than mental health care. In this commentary, we highlight opportunities for …
Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overview
S Ariens, E Ceulemans, JK Adolf - Journal of Psychosomatic Research, 2020 - Elsevier
Time series analysis of intensive longitudinal data provides the psychological literature with
a powerful tool for assessing how psychological processes evolve through time. Recent …
a powerful tool for assessing how psychological processes evolve through time. Recent …
[HTML][HTML] Sociodemographic, health and lifestyle, sampling, and mental health determinants of 24-hour motor activity patterns: observational study
Background Analyzing actigraphy data using standard circadian parametric models and
aggregated nonparametric indices may obscure temporal information that may be a …
aggregated nonparametric indices may obscure temporal information that may be a …