2025
Microstructural patterns in substantia nigra subregions are associated with depression and olfactory impairments in Parkinson’s disease
Mozafar M, Manshadi Z, Molaei Z, Babaei H, Mansouri M, Shahbazi S, Shakeri S, Mirhosseini H, Gulisashvili D, Mayeli M, Initiative P. Microstructural patterns in substantia nigra subregions are associated with depression and olfactory impairments in Parkinson’s disease. Clinical Neurology And Neurosurgery 2025, 251: 108817. PMID: 40080943, DOI: 10.1016/j.clineuro.2025.108817.Peer-Reviewed Original ResearchConceptsDiffusion tensor imagingNon-motor symptomsDopaminergic deficitOlfactory dysfunctionHealthy controlsSubstantia nigraPD patientsParkinson's diseaseDiffusion tensor imaging findingsAssociated with depressionRates of depressionHigher rates of depressionNon-motor testsEvidence of dopaminergic deficitNon-depressed onesOlfactory impairmentAnxiety scoresPrevalence of olfactory dysfunctionDepressionSWEDD groupTensor imagingPPMI databaseDeficitsFA valuesSWEDDBridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia
Guo H, Xiao Y, Dong S, Yang J, Zhao P, Zhao T, Cai A, Tang L, Liu J, Wang H, Hua R, Liu R, Wei Y, Sun D, Liu Z, Xia M, He Y, Wu Y, Si T, Womer F, Xu F, Tang Y, Wang J, Zhang W, Zhang X, Wang F. Bridging animal models and humans: neuroimaging as intermediate phenotypes linking genetic or stress factors to anhedonia. BMC Medicine 2025, 23: 38. PMID: 39849528, PMCID: PMC11755933, DOI: 10.1186/s12916-025-03850-4.Peer-Reviewed Original ResearchConceptsIntermediate phenotypesCore symptoms of depressionAmplitude of low-frequency fluctuationNeuroimaging patternsSubtypes of depressionCore depressive symptomsExpression of risk genesDiverse clinical populationsSymptoms of depressionRodent modelsAssociated with depressionLow-frequency fluctuationsStress-related changesDepression subtypesCore symptomsCross-species validationPsychiatric disordersNeuropsychiatric disordersDepressive symptomsBehavioral manifestationsStress modelDepression cohortClinical populationsSensorimotor regionsAnhedoniaDepression in children with abdominal pain in the emergency department
Martin S, Heyming T, Fortier M, Salas L, Huszti H, Dennis M, Kain Z. Depression in children with abdominal pain in the emergency department. Pediatric Research 2025, 1-6. PMID: 39824940, DOI: 10.1038/s41390-025-03871-y.Peer-Reviewed Original ResearchPain-related impairmentSelf-harm ideationPediatric emergency departmentIdiopathic abdominal painMental health screeningAbdominal painEmergency departmentHealth screeningHigher likelihood of depressionLatinx ethnicityEarly identification of depressionStudy examined depressionPatient Health QuestionnairePoor mental healthAssociation with study variablesIdentification of depressionHigher pain intensityLikelihood of depressionAssociated with depressionRegression analysisDepression SurveyHealth QuestionnaireLogistic regression analysisMental healthPHQ-9A
2024
Antitrans Policy Environment and Depression and Anxiety Symptoms in Transgender and Nonbinary Adults
Restar A, Layland E, Hughes L, Dusic E, Lucas R, Bambilla A, Martin A, Shook A, Karrington B, Schwarz D, Shimkin G, Grandberry V, Xanadu X, Streed C, Operario D, Gamarel K, Kershaw T. Antitrans Policy Environment and Depression and Anxiety Symptoms in Transgender and Nonbinary Adults. JAMA Network Open 2024, 7: e2431306. PMID: 39172447, PMCID: PMC11342136, DOI: 10.1001/jamanetworkopen.2024.31306.Peer-Reviewed Original ResearchConceptsHealth care accessMental health outcomesCurrent depressive symptomsAnxiety symptomsCare accessHealth outcomesDepressive symptomsTrans adultsPatient Health Questionnaire-4Worsening mental health outcomesHealth care experiencesOdds of depressionTrans individualsAssociated with depressionNegative mental health consequencesCross-sectional studyPolicy environmentSeries of multivariate regression modelsCross-sectional dataCare experiencesTrans healthMultivariate regression modelMain OutcomesNonbinary adultsPrimary outcomeA Mixed Methods Exploration of Young Women’s Agency and Mental Health during COVID-19 in Low-Income Communities in Mumbai, India
Brault M, Peskin M, Jones A, Saikia A, Bhutia R, Cheruvu S, Jagtap V, Singh R, Nair P, Vedanthan R, Vermund S, Maitra S. A Mixed Methods Exploration of Young Women’s Agency and Mental Health during COVID-19 in Low-Income Communities in Mumbai, India. International Journal Of Environmental Research And Public Health 2024, 21: 1007. PMID: 39200618, PMCID: PMC11354834, DOI: 10.3390/ijerph21081007.Peer-Reviewed Original ResearchLow-income communitiesMental healthHealth inequalitiesAssess health concernsAssociated with less anxietyConstant comparative approachQualitative dataWorsening mental healthAssociated with depressionDeepening health inequitiesAnalyzed qualitative dataSemi-structured interviewsSelf-CarePopulation of youthQuantitative dataLow-incomeLess anxietyAGYWAnxiety symptomsCOVID-19Financial insecurityHealthHealth concernMitigate adverse consequencesWomen's agencyIt's a balancing act: The ratio of maladaptive (vs. All) emotion regulation strategies is associated with depression
Gadassi-Polack R, Paganini G, Zhang A, Dworschak C, Silk J, Kober H, Joormann J. It's a balancing act: The ratio of maladaptive (vs. All) emotion regulation strategies is associated with depression. Behaviour Research And Therapy 2024, 180: 104600. PMID: 38950508, PMCID: PMC11323071, DOI: 10.1016/j.brat.2024.104600.Peer-Reviewed Original ResearchEmotion regulationER repertoireER flexibilityER strategiesAssociated with psychopathologyMaladaptive emotion regulationEmotion regulation strategiesAssociated with depressive symptomsAssociated with depressionYears of adolescenceDaily-diaryAtypical developmentDepressive symptomsRegulation strategiesDevelopmental periodDepressionPsychopathologyEmotionsAdolescentsYouthYear levelSymptomsResearchPrediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study
Lin Z, Zheng J, Wang Y, Su Z, Zhu R, Liu R, Wei Y, Zhang X, Wang F. Prediction of the efficacy of group cognitive behavioral therapy using heart rate variability based smart wearable devices: a randomized controlled study. BMC Psychiatry 2024, 24: 187. PMID: 38448895, PMCID: PMC10916138, DOI: 10.1186/s12888-024-05638-x.Peer-Reviewed Original ResearchConceptsGroup cognitive behavioral therapyWait-list controlCognitive behavioral therapyBehavioral therapyEfficacy of group cognitive behavioral therapyGroup cognitive behavioural therapy groupDisabling mental health problemPredictors of treatment responseAssociated with greater improvementTreatment outcomesAssociated with depressionHigher heart rate variabilityMental health problemsHeart rate variabilityAnxious symptomsAnxiety symptomsParticipants' symptomsCollege studentsHRV levelsAnxietyTrial registrationThe trialSignificant public health concernDepressionGreater improvementHeart rate variability parameters
2022
White matter alterations associated with lifetime and current depression in adolescents: Evidence for cingulum disruptions
Barch D, Hua X, Kandala S, Harms M, Sanders A, Brady R, Tillman R, Luby J. White matter alterations associated with lifetime and current depression in adolescents: Evidence for cingulum disruptions. Depression And Anxiety 2022, 39: 881-890. PMID: 36321433, PMCID: PMC10848013, DOI: 10.1002/da.23294.Peer-Reviewed Original ResearchConceptsDepression severityCingulum bundleReduced FAFractional anisotropyCurrent depression severityPreschool Depression StudyWhite matter microstructural differencesFunctional connectivity differencesDorsal cingulum bundleEstimates of fractional anisotropySuperior longitudinal fasciculusWhite matter differencesMean diffusivityAxial diffusivityAssociated with depressionIncreased RDRadial diffusivityWhite matter structuresEmotion dysregulationDepression StudyLifetime diagnosisConcurrent depressionCurrent depressionConnectivity differencesBrain regions
2021
Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review
Lee S, Lee K, Park K, Park S, Kim W, Lee J, Kronbichler A, Smith L, Solmi M, Stubbs B, Koyanagi A, Jacob L, Stickley A, Thompson T, Dragioti E, Oh H, Brunoni A, Carvalho A, Radua J, An S, Namkoong K, Lee E, Shin J, Fusar-Poli P. Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review. Psychological Medicine 2021, 53: 2017-2030. PMID: 34749836, DOI: 10.1017/s0033291721003767.Peer-Reviewed Original ResearchConceptsMeta-analysesMeta-analyses of observational studiesParticipant inclusionData extraction errorsPooled effect sizeAssociated with depressionPeripheral inflammatory biomarkersUmbrella reviewSample sizeDatabase inceptionC-reactive proteinPrimary studiesData extractionInsufficient dataEffect sizeCochrane LibraryObservational studyReduce such errorsInflammatory biomarkersDepressionInterleukin-6AssociationImpact findingsParticipantsPsycINFOAssociation between skin disorders and depression in children and adolescents: A retrospective case-control study
Teichgräber F, Jacob L, Koyanagi A, Shin J, Seiringer P, Kostev K. Association between skin disorders and depression in children and adolescents: A retrospective case-control study. Journal Of Affective Disorders 2021, 282: 939-944. PMID: 33601738, DOI: 10.1016/j.jad.2021.01.002.Peer-Reviewed Original ResearchConceptsRetrospective case-control studyCase-control studyAtopic dermatitis/eczemaSkin disordersAssociated with depressionNail disordersMatched ControlsDisease Analyzer databaseHair lossSex-stratified regression analysesConditional logistic regression modelsChronic skin conditionIndex dateLogistic regression modelsNon-significant associationStudy populationDermatitis/eczemaSkin conditionsAnalyzer databasePediatric practicePigmentation disordersDisordersSkinRegression analysisThree disorders
2005
Excessive Daytime Sleepiness in a General Population Sample: The Role of Sleep Apnea, Age, Obesity, Diabetes, and Depression
Bixler E, Vgontzas A, Lin H, Calhoun S, Vela-Bueno A, Kales A. Excessive Daytime Sleepiness in a General Population Sample: The Role of Sleep Apnea, Age, Obesity, Diabetes, and Depression. The Journal Of Clinical Endocrinology & Metabolism 2005, 90: 4510-4515. PMID: 15941867, DOI: 10.1210/jc.2005-0035.Peer-Reviewed Original ResearchConceptsComplaint of excessive daytime sleepinessExcessive daytime sleepinessSleep-disordered breathingSleep apneaPresence of excessive daytime sleepinessDaytime sleepinessSleep durationRisk factorsPopulation sampleAssociation of depressionAssociated with depressionGeneral population samplePenn State CohortBody mass indexSignificant risk factorsLogistic regression modelsTypical sleep durationSleep laboratoryApneaMass indexMedical illnessPolysomnographic measuresStates cohortHealth problemsMetabolic factors
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