BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …

Background Mobile health (mHealth) apps show vast potential in supporting patients and
health care systems with the increasing prevalence and economic costs of …

This 5‐year longitudinal study investigated advanced theory‐of‐mind (AToM) development
in 161 German 5‐to 10‐year‐olds (89 females, 72 males). Core aspects of AToM developed …

Environmental communication interventions are employed in nature-based tourism settings
to achieve environmental protection. However, much still needs to be studied to understand …

Intellectual disability and autism spectrum disorder (ASD) are common, and genetic testing
is increasingly performed in individuals with these diagnoses to inform prognosis, refine …

This article offers a systematic review of empirical research intending to identify and
categorise the types of existing job crafting interventions (JCIs). It highlights a range of …

Intuitive eating is an adaptive style of eating that has gained substantial research attention.
However, possible predictors and outcomes of intuitive eating are poorly understood, as …

Perinatal stress, anxiety, and depression impacts not only women but also their child (ren).
The purpose of this longitudinal study is to explore trends of stress, anxiety, and depressive …

The COVID-19 pandemic and the resulting societal restrictions have had negative
implications for mental health in the general population. The aims of the present longitudinal …

Objective Social media has been recognized as a promising tool for delivering health
interventions and facilitating study recruitment. However, research is needed to understand …