keyword
https://read.qxmd.com/read/38430789/alcohol-consumption-and-dependence-risk-among-male-and-female-veterans-trajectories-and-predictors
#21
JOURNAL ARTICLE
Brittany M Mathes Winnicki, Daniel J Lee, Sage E Hawn, Nicholas A Livingston, Brian P Marx, Terence M Keane
BACKGROUND: With few exceptions, previously conducted research on hazardous drinking among Veterans has employed samples in which the majority of participants identify as male. In addition, past studies have solely focused on alcohol consumption, rather than associated risk for dependence. In this study, we expanded upon the extant literature by investigating sex differences in trajectories and predictors of change in alcohol consumption and dependence risk among post-9/11 Veterans. METHODS: A national sample of 1649 Veterans (50...
February 25, 2024: Drug and Alcohol Dependence
https://read.qxmd.com/read/38429646/prevalence-and-determinants-of-minimum-dietary-diversity-for-women-of-reproductive-age-in-uganda
#22
JOURNAL ARTICLE
Derrick Kimuli, Florence Nakaggwa, Norah Namuwenge, Rebecca N Nsubuga, Kenneth Kasule, Sheila Nyakwezi, Jimmy Odong, Paul Isabirye, Solome Sevume, Norbert Mubiru, Daniel Mwehire, Fatuma Matovu, Bonnie Wandera, Barbara Amuron, Daraus Bukenya
BACKGROUND: Globally, over a billion women of reproductive age (WRA) suffer from some kind of undernutrition micronutrient deficiencies, and/or anemia as a result of inadequate dietary diversity. This leads to poor maternal and child health outcomes, however, there is limited research on population level research on minimum dietary diversity for women (MDD-W). This study assessed the prevalence and predictors of MDD-W among WRA in Uganda. METHODS: This study was a secondary analysis of data from the lot quality assurance sampling (LQAS) survey conducted across 55 Ugandan districts between May and September 2022...
March 1, 2024: BMC Nutrition
https://read.qxmd.com/read/38425254/multimodal-predictors-of-treatment-response-in-major-depressive-disorder-advancing-personalized-medicine-in-psychiatry
#23
EDITORIAL
Mary L Phillips
No abstract text is available yet for this article.
March 1, 2024: American Journal of Psychiatry
https://read.qxmd.com/read/38423367/predicting-the-outcome-of-psilocybin-treatment-for-depression-from-baseline-fmri-functional-connectivity
#24
JOURNAL ARTICLE
Débora Copa, David Erritzoe, Bruna Giribaldi, David Nutt, Robin Carhart-Harris, Enzo Tagliazucchi
BACKGROUND: Psilocybin is a serotonergic psychedelic drug under assessment as a potential therapy for treatment-resistant and major depression. Heterogeneous treatment responses raise interest in predicting the outcome from baseline data. METHODS: A machine learning pipeline was implemented to investigate baseline resting-state functional connectivity measured with functional magnetic resonance imaging (fMRI) as a predictor of symptom severity in psilocybin monotherapy for treatment-resistant depression (16 patients administered two 5 mg capsules followed by 25 mg, separated by one week)...
February 27, 2024: Journal of Affective Disorders
https://read.qxmd.com/read/38419668/eeg-based-major-depressive-disorder-recognition-by-neural-oscillation-and-asymmetry
#25
JOURNAL ARTICLE
Xinyu Liu, Haoran Zhang, Yi Cui, Tong Zhao, Bin Wang, Xiaomeng Xie, Sixiang Liang, Sha Sha, Yuxiang Yan, Xixi Zhao, Ling Zhang
BACKGROUND: Major Depressive Disorder (MDD) is a pervasive mental health issue with significant diagnostic challenges. Electroencephalography (EEG) offers a non-invasive window into the neural dynamics associated with MDD, yet the diagnostic efficacy is contingent upon the appropriate selection of EEG features and brain regions. METHODS: In this study, resting-state EEG signals from both eyes-closed and eyes-open conditions were analyzed. We examined band power across various brain regions, assessed the asymmetry of band power between the hemispheres, and integrated these features with clinical characteristics of MDD into a diagnostic regression model...
2024: Frontiers in Neuroscience
https://read.qxmd.com/read/38415074/does-baseline-cognitive-function-predict-the-reduction-rate-in-hdrs-17-total-scores-in-first-episode-drug-na%C3%A3-ve-patients-with-major-depressive-disorder
#26
JOURNAL ARTICLE
Qingyan Jiao, Yeqing Dong, Xiaojuan Ma, Shiyi Suzy Ji, Xinyu Liu, Jian Zhang, Xia Sun, Dazhi Li, Xingguang Luo, Yong Zhang
PURPOSE: Major depressive disorder (MDD) is associated with worse cognitive functioning. We aim to examine the association between baseline cognitive functioning and the reduction rate in HDRS-17 total scores and to highlight the predictors of the reduction rate in HDRS-17 total scores in MDD with first-episode, drug-naïve (FED) patients. PATIENTS AND METHODS: Ninety FED patients were recruited consecutively and evaluated using the 17-item Hamilton Depression Rating Scale (HDRS-17), the 14-item Hamilton Anxiety Scale (HAMA-14), the Functioning Assessment Short Test (FAST) and the MATRICS Consensus Cognitive Battery (MCCB) at baseline and again at week 8...
2024: Neuropsychiatric Disease and Treatment
https://read.qxmd.com/read/38414430/patient-perceptions-of-microbiome-based-therapies-as-novel-treatments-for-mood-disorders-a-mixed-methods-study
#27
JOURNAL ARTICLE
Dina Moinul, Chenhui Hao, Gina Dimitropoulos, Valerie H Taylor
OBJECTIVE: Medications are critical for treating major depressive disorder (MDD) and bipolar disorder (BD). Unfortunately, 30% to 40% of individuals do not respond well to current pharmacotherapy. Given the compelling growing body of research on the gut-brain axis, this study aims to assess patient perspectives regarding microbiome-based therapies (MBT) such as probiotics, prebiotics, dietary changes, or fecal microbiota transplantation (FMT) in the management of MDD and BD. METHODS: This single-centred observational study used quantitative and qualitative assessments to examine patient perceptions of MBT...
February 28, 2024: Canadian Journal of Psychiatry. Revue Canadienne de Psychiatrie
https://read.qxmd.com/read/38410442/identifying-genetic-differences-between-bipolar-disorder-and-major-depression-through-multiple-gwas
#28
Georgia Panagiotaropoulou, Kajsa-Lotta Georgii Hellberg, Jonathan R I Coleman, Darsol Seok, Janos Kalman, Philip B Mitchell, Peter R Schofield, Andreas J Forstner, Michael Bauer, Laura J Scott, Carlos N Pato, Michele T Pato, Qingqin S Li, George Kirov, Mikael Landén, Lina Jonsson, Bertram Müller-Myhsok, Jordan W Smoller, Elisabeth B Binder, Tanja M Brückl, Darina Czamara, Sandra Van der Auwera, Hans J Grabe, Georg Homuth, Carsten O Schmidt, James B Potash, Raymond J DePaulo, Fernando S Goes, Dean F MacKinnon, Francis M Mondimore, Myrna M Weissman, Jianxin Shi, Mark A Frye, Joanna M Biernacka, Andreas Reif, Stephanie H Witt, René R Kahn, Marco M Boks, Michael J Owen, Katherine Gordon-Smith, Brittany L Mitchell, Nicholas G Martin, Sarah E Medland, Lisa Jones, James A Knowles, Douglas F Levinson, Michael C O'Donovan, Cathryn M Lewis, Gerome Breen, Thomas Werge, Andrew J Schork, Roel Ophoff, Stephan Ripke, Loes Olde Loohuis
BACKGROUND: Accurate diagnosis of bipolar disorder (BD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A key reason is that the first manic episode is often preceded by a depressive one, making it difficult to distinguish BD from unipolar major depressive disorder (MDD). AIMS: Here, we use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores that may aid early differential diagnosis...
January 30, 2024: medRxiv
https://read.qxmd.com/read/38410378/major-depressive-disorder-prediction-based-on-sleep-wake-disorders-symptoms-in-us-adolescents-a-machine-learning-approach-from-national-sleep-research-resource
#29
JOURNAL ARTICLE
Jingsong Luo, Yuxin Chen, Yanmin Tao, Yaxin Xu, Kexin Yu, Ranran Liu, Yuchen Jiang, Cichong Cai, Yiyang Mao, Jingyi Li, Ziyi Yang, Tingting Deng
BACKGROUND: There is substantial evidence from previous studies that abnormalities in sleep parameters associated with depression are demonstrated in almost all stages of sleep architecture. Patients with symptoms of sleep-wake disorders have a much higher risk of developing major depressive disorders (MDD) compared to those without. OBJECTIVE: The aim of the present study is to establish and compare the performance of different machine learning models based on sleep-wake disorder symptoms data and to select the optimal model to interpret the importance of sleep-wake disorder symptoms to predict MDD occurrence in adolescents...
2024: Psychology Research and Behavior Management
https://read.qxmd.com/read/38410306/comparison-of-risk-of-stroke-in-patients-with-and-without-depression-a-systematic-review-and-meta-analysis
#30
REVIEW
Manisha Kanumuri, Areeba Khan, Asfia Neshat, Goutham Alapati, Gopi Sairam Reddy Mulaka, Nimra Nisar, Saima Batool, Fnu Arti
Individuals with depression face an elevated stroke risk, marked by an unfavorable prognosis. This meta-analysis aims to determine the impact of depression on stroke risk. The current meta-analysis was conducted using the guidelines established by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). We selected studies through a systematic review of electronic databases, including PubMed, EMBASE, and CINAHL from January 2011 to January 2023. Google Scholar was utilized to identify supplementary studies...
January 2024: Curēus
https://read.qxmd.com/read/38408371/impact-of-a-private-sector-residential-early-parenting-program-on-clinically-significant-postnatal-depressive-symptoms-experienced-by-women-audit-of-routinely-collected-data
#31
JOURNAL ARTICLE
Jane Fisher, Karin Stanzel, Hau Nguyen, Patsy Thean, Danielle French, Sally Popplestone, Thach Tran
INTRODUCTION: Early parenting services in Australia offer brief structured residential programs to address moderate to severe non-psychotic mental health problems among women and unsettled infant/toddler behaviours. The aims were to (1) estimate the immediate and medium-term impact of a five-night psychoeducational residential early parenting program on postpartum depressive symptoms and (2) identify the factors associated with improvement or worsening of postpartum depressive symptoms after completing the program and six weeks post-discharge...
February 26, 2024: Acta Psychiatrica Scandinavica
https://read.qxmd.com/read/38407625/neurocognitive-function-as-outcome-and-predictor-for-prefrontal-transcranial-direct-current-stimulation-in-major-depressive-disorder-an-analysis-from-the-depressiondc-trial
#32
JOURNAL ARTICLE
Aldo Soldini, Ulrike Vogelmann, Sabine Aust, Stephan Goerigk, Christian Plewnia, Andreas Fallgatter, Claus Normann, Lukas Frase, Peter Zwanzger, Thomas Kammer, Carlos Schönfeldt-Lecuona, Gizem Vural, Malek Bajbouj, Frank Padberg, Gerrit Burkhardt
Transcranial direct current stimulation (tDCS) of the prefrontal cortex might beneficially influence neurocognitive dysfunctions associated with major depressive disorder (MDD). However, previous studies of neurocognitive effects of tDCS have been inconclusive. In the current study, we analyzed longitudinal, neurocognitive data from 101 participants of a randomized controlled multicenter trial (DepressionDC), investigating the efficacy of bifrontal tDCS (2 mA, 30 min/d, for 6 weeks) in patients with MDD and insufficient response to selective serotonin reuptake inhibitors (SSRI)...
February 26, 2024: European Archives of Psychiatry and Clinical Neuroscience
https://read.qxmd.com/read/38383096/infective-endocarditis-in-patients-addicted-to-injected-opioid-drugs
#33
JOURNAL ARTICLE
Michael J Javorski, Brad F Rosinski, Shawn Shah, Matthew A Thompson, David Streem, Steven M Gordon, Steven Insler, Penny L Houghtaling, Brian Griffin, Eugene H Blackstone, Shinya Unai, Lars G Svensson, Gösta B Pettersson, Haytham Elgharably
BACKGROUND: Persons who inject drugs and require surgery for infective endocarditis have 2 potentially lethal diseases. Current postoperative rehabilitation efforts seem ineffective in preventing loss to follow-up, injection drug use relapse (relapse), and death. OBJECTIVES: The purpose of this study was to characterize drug use, psychosocial issues, surgical outcome, and postoperative addiction management, as well as loss to follow-up, relapse, and mortality and their risk factors...
February 27, 2024: Journal of the American College of Cardiology
https://read.qxmd.com/read/38371083/adolescent-depression-prevalence-and-factors-a-jordanian-cross-sectional-study
#34
JOURNAL ARTICLE
Layali N Abbasi, Abdullah Hyasat, Ashraqat Alsha'er, Ayah M Al Warawrah, Ghaith Jaser, Motasem Shelbayeh, Samer Al Wahesh, Tareq A Alkhaldi, Tasneem Shakkah
Objective There is a great deal of variation in the prevalence of adolescent depression among nations, but overall, it is a severe and common mental illness that is a major contributor to disability on a global scale. This study aimed to determine the prevalence of depression, the severity of its symptoms, and its characteristics among adolescents residing in Amman, Jordan, in 2023. Method A cross-sectional design was used to collect descriptive data from 784 adolescents from Jordan, aged between 14 and 17 years...
January 2024: Curēus
https://read.qxmd.com/read/38367483/the-bidirectional-relationship-between-depression-and-dissociation-a-longitudinal-investigation
#35
JOURNAL ARTICLE
Hong Wang Fung, Cherry Tin Yan Cheung
Depression is a major public health concern. Recent studies suggest that dissociative symptoms are associated with depressive symptoms, and the concept of "dissociative depression" has been proposed. Yet, only cross-sectional evidence is available in the literature. This study examined the bidirectional relationship between dissociative and depressive symptoms through the use of screening tools in a sample of Chinese young adults (N = 340) over four months. Baseline dissociative symptoms predicted depressive symptoms at follow-up (β = ...
February 2, 2024: Asian Journal of Psychiatry
https://read.qxmd.com/read/38367310/distinct-mri-based-functional-and-structural-connectivity-for-antidepressant-response-prediction-in-major-depressive-disorder
#36
JOURNAL ARTICLE
Xinyi Wang, Li Xue, Junneng Shao, Zhongpeng Dai, Lingling Hua, Rui Yan, Zhijian Yao, Qing Lu
OBJECTIVE: Emerging studies have identified treatment-related connectome predictors in major depressive disorder (MDD). However, quantifying treatment-responsive patterns in structural connectivity (SC) and functional connectivity (FC) simultaneously remains underexplored. We aimed to evaluate whether spatial distributions of FC and SC associated treatment responses are shared or unique. METHODS: Diffusion tensor imaging and resting-state functional magnetic resonance imaging were collected from 210 patients with MDD at baseline...
February 9, 2024: Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology
https://read.qxmd.com/read/38365571/frailty-efficacy-as-a-predictor-of-clinical-and-cognitive-complications-in-patients-undergoing-coronary-artery-bypass-grafting-a-prospective-cohort-study
#37
JOURNAL ARTICLE
Mehrnoosh Bakhtiari, Farhad Shaker, Fatemeh Ojaghi Shirmard, Arash Jalali, Ahmad Vakili-Basir, Mohammad Balabandian, Sima Shamshiri Khamene, Izat Mohammadkhawajah, Akbar Shafiee, Seyedeh Zahra Badrkhahan, Kaveh Hosseini
BACKGROUND: Frailty is proposed as a predictor of outcomes in patients undergoing major surgeries, although data on the association of frailty and coronary artery bypass grafting (CABG) are lacking. We assessed the association between frailty and cognitive and clinical complications following CABG. METHODS: This prospective study included patients aged over 60 years undergoing elective CABG at Tehran Heart Center from 2020 to 2022. Baseline and three-month follow-up data on frailty using the Frail scale and clinical Frail scale, functional status using the Lawton Instrumental Activities of Daily Living Scale (IADL), cognitive function by Montreal Cognitive Assessment (MoCA), and depression by the Geriatric Depression Scale (GDS) were obtained...
February 16, 2024: BMC Cardiovascular Disorders
https://read.qxmd.com/read/38360362/prediction-of-non-suicidal-self-injury-in-adolescents-at-the-family-level-using-regression-methods-and-machine-learning
#38
JOURNAL ARTICLE
Si Chen Zhou, Zhaohe Zhou, Qi Tang, Ping Yu, Huijing Zou, Qian Liu, Xiao Qin Wang, Jianmei Jiang, Yang Zhou, Lianzhong Liu, Bing Xiang Yang, Dan Luo
BACKGROUND: Adolescent non-suicidal self-injury (NSSI) is a major public health issue. Family factors are significantly associated with NSSI in adolescents, while studies on forecasting NSSI at the family level are still limited. In addition to regression methods, machine learning (ML) techniques have been recommended to improve the accuracy of family-level risk prediction for NSSI. METHODS: Using a dataset of 7967 students and their primary caregivers from a cross-sectional study, logistic regression model and random forest model were used to test the forecasting accuracy of NSSI predictions at the family level...
February 13, 2024: Journal of Affective Disorders
https://read.qxmd.com/read/38356613/understanding-university-students-attitudes-and-preferences-for-internet-based-mental-health-interventions
#39
JOURNAL ARTICLE
Ömer Özer, Burak Köksal, Ahmet Altinok
Internet-based interventions are recognised as a practical approach to address mental health issues. The acceptance and utilisation of such interventions are closely linked to user attitudes and preferences. This study aims to examine the predictors of university students' attitudes towards internet-based interventions. Additionally, it seeks to elucidate students' preferences regarding crucial features of these interventions, such as the format, delivery mode, content type, and structural components, to understand better what makes these interventions appealing and practical for university students...
March 2024: Internet Interventions
https://read.qxmd.com/read/38356476/differentiating-mci-from-depression-through-verbal-memory-scores
#40
JOURNAL ARTICLE
Seyda Cankaya, Betul Yalciner, Melek Kandemir Yilmaz, Burak Yulug
INTRODUCTION: The present study aims to assess the differences between major depressive disorder (MDD) and mild cognitive impairment (MCI) in terms of verbal learning profile together with structural changes in the brain on magnetic resonance imaging (MRI) and to reveal predictive factors for MCI. METHODS: Fifty-six patients with MDD and 31 MCI subjects were assessed using the Turkish Verbal Memory Processes Test (VMPT). Brain MRI was used to evaluate sulcal atrophy (SA), ventricular atrophy, periventricular white matter hyperintensity (WMH), subcortical WMH, basal ganglia infarct, medial temporal lobe atrophy, and infratentorial infarct scores based on the Modified Visual MRI Rating Scale (MVMRS)...
2024: Alzheimer's & Dementia: Translational Research & Clinical Interventions
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