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Parent stress and mental health problems negatively impact early child development. This study aimed to systematically review and meta-analyze the effect of eHealth interventions on parent stress and mental health outcomes, and identify family- and program-level factors that may moderate treatment effects. A search of PsycINFO, Medline, CINAHL, Cochrane and Embase databases was conducted from their inception dates to July 2020. English-language controlled and open trials were included if they reported: (a) administration of an eHealth intervention, and (b) stress or mental health outcomes such as self-report or clinical diagnosis of anxiety and depression, among (c) parents of children who were aged 1-5 years old. Non-human studies, case reports, reviews, editorials, letters, dissertations, and books were excluded. Risk of bias was assessed using the National Institutes of Health (NIH) Study Quality Assessment Tools. Random-effects meta-analyses of standardized mean differences (SMD) were conducted and meta-regressions tested potential moderators. 38 studies were included (N = 4360 parents), from 13 countries (47.4% USA). Meta-analyses indicated eHealth interventions were associated with better self-reported mental health among parents (overall SMD = .368, 95% CI 0.228, 0.509), regardless of study design (k = 30 controlled, k = 8 pre-post) and across most outcomes (k = 17 anxiety, k = 19 depression, k = 12 parenting stress), with small to medium effect sizes. No significant family- or program-level moderators emerged. Despite different types and targets, eHealth interventions offer a promising and accessible option to promote mental health among parents of young children. Further research is needed on moderators and the long-term outcomes of eHealth interventions. Prospero Registration: CRD42020190719.
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http://dx.doi.org/10.1007/s10567-022-00385-5 | DOI Listing |
Amyotroph Lateral Scler Frontotemporal Degener
September 2025
Faculdade de Medicina, Centro de Estudos Egas Moniz, Universidade de Lisboa, Lisboa, Portugal.
This study aimed to derive standardized regression-based (SRB) reliable change indices (RCIs) for the cognitive section of the Portuguese Edinburgh Cognitive and Behavioral ALS Screen (ECAS-C). Forty-nine MND patients undergoing the ECAS were followed-up (T1) at 7.2 ± 2 months (range = 5-12).
View Article and Find Full Text PDFNpj Ment Health Res
September 2025
Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin (Campus Charité Mitte), Berlin, Germany.
Loneliness is a growing global health issue, yet real-time assessments of its objective risk and protective factors are limited. This study identifies momentary and daily predictors using digital phenotyping and temporal analysis. Analyzing 12788 momentary observations from social mobile sensing and actigraphy, we examined how they impact loneliness on average (between-person) and in daily fluctuations (within-person).
View Article and Find Full Text PDFQual Life Res
September 2025
Department of Physical Therapy, Rady Faculty of Health Sciences, College of Rehabilitation Sciences, University of Manitoba, Winnipeg, MB, Canada.
Purpose: The purpose was to identify how the ICECAP-A and ICECAP-O have been used with adults who have neurological health conditions.
Methods: Following the Joanna Briggs Institute framework, a scoping review was conducted, searching five databases (Scopus, CINAHL, MEDLINE, Embase, and PsycINFO). Studies were included if participants were adults (age 18+ years) with neurological health conditions, and ICECAP-A or ICECAP-O were used in the study.
Mol Psychiatry
September 2025
Department of Child and Adolescent Psychiatry and Psychology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands.
Epigenetic processes, such as DNA methylation, show potential as biological markers and mechanisms underlying gene-environment interplay in the prediction of mental health and other brain-based phenotypes. However, little is known about how peripheral epigenetic patterns relate to individual differences in the brain itself. An increasingly popular approach to address this is by combining epigenetic and neuroimaging data; yet, research in this area is almost entirely comprised of cross-sectional studies in adults.
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