Psychological Factors and Treatment Adherence Behavior in Patients With Chronic Heart Failure [PDF]
, 2007 Background: Chronic heart failure adversely affects 300,000 Australians. Symptom stabilization and prognosis are partially determined by patients following medical and lifestyle recommendations.
Dwyer, Jonathan +2 more
core +2 more sources
Familial aggregation of migraine and depression: Insights from a large Australian twin sample [PDF]
, 2016 Free to read\ud \ud Objectives: This research examined the familial aggregation of migraine, depression, and their co-occurrence.\ud \ud Methods: Diagnoses of migraine and depression were determined in a sample of 5,319 Australian twins.
Heath, Andrew C +5 more
core +3 more sources
Why human connection is the true metric of research success
FEBS Open Bio, EarlyView.Human‐centred mentorship can be shaped by mentor attributes, actions, intrinsic drive and career ambition. Drawing on reflections across Singapore and France, as well as workshop insights from FEBS‐IUBMB ENABLE 2024, this article shows that human‐centred mentorship creates the conditions for sustainable growth, well‐being and retention in research ...
Timothy Lin Yun Tan +3 more
wiley +1 more source
Depression in adolescents with beta-thalassemia major in Erbil city-Iraq
Advanced Medical Journal, 2023 Background and objectives: Depression in adolescent is commonly prevalent with higher rates among patients with thalassemia. The aim of this study is to identify the prevalence of depression in adolescent with beta thalassemia ma- jor attending ...
Liqaa Habeeb Yousif +1 more
doaj +1 more source
Prevalence and intensity of depression in mothers of children with beta-thalassemia major in Talghani Hospital of Gorgan, Iran [PDF]
, 2014 Background: Thalassemia is a chronic disease that it leads to psychological and social problems for parents. Mothers are at markedly increased risk of suffering from psychological distress and depression because they usually take on a considerable part ...
Jahazi, A. +3 more
core
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
FEBS Open Bio, EarlyView.Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Motor imagery in unipolar major depression
Frontiers in Behavioral Neuroscience, 2014 Background: Motor imagery is a potential tool to investigate action representation, as it can provide insights into the processes of action planning and preparation.
Djamila eBennabi +15 more
doaj +1 more source
Cognitive behavior therapy in panic disorder and comorbid major depression - A naturalistic study [PDF]
, 2000 Background: There is a lack of evidence about the effectiveness of cognitive behavior therapies (CBT) in settings of routine clinical care as well as in the treatment of panic and comorbid disorders. Methods: We investigated a group-oriented CBT approach
Auer, Claudia +3 more
core +1 more source
The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley +1 more source
Depression and suicide risk prediction models using blood-derived multi-omics data [PDF]
, 2019 More than 300 million people worldwide experience depression; annually, ~800,000 people die by suicide. Unfortunately, conventional interview-based diagnosis is insufficient to accurately predict a psychiatric status. We developed machine learning models
Bhak, Jong +19 more
core +1 more source