2024
Visual environment in schools and student depressive symptoms: Insights from a prospective study across multiple cities in eastern China
Zhang X, Tang J, Wang Y, Yang W, Wang X, Zhang R, Yang J, Lu W, Wang F. Visual environment in schools and student depressive symptoms: Insights from a prospective study across multiple cities in eastern China. Environmental Research 2024, 258: 119490. PMID: 38925465, DOI: 10.1016/j.envres.2024.119490.Peer-Reviewed Original ResearchConceptsStudents' depressive symptomsDepressive symptomsHigh-intensity exercise sessionCombination of physical activityCohort studyHealth Cohort StudyOccurrence of depressive symptomsExercise sessionsPhysical activityFollow-up cohortOne-year follow-upFollow-upOne-year outcomesImpairment groupPhysical examination indicatorsSchool-related factorsModify behaviorPositive effectRR valuesData collectionConsecutive follow-upsPersonal factorsVisual impairmentProspective studyAppropriate attentionDigital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation
Zhu Y, Zhang R, Yin S, Sun Y, Womer F, Liu R, Zeng S, Zhang X, Wang F. Digital Dietary Behaviors in Individuals With Depression: Real-World Behavioral Observation. JMIR Public Health And Surveillance 2024, 10: e47428. PMID: 38648087, PMCID: PMC11074900, DOI: 10.2196/47428.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultBehavior Observation TechniquesDepressionFeeding BehaviorFemaleHumansMaleYoung AdultConceptsModerate-severe depressionDietary behaviorsMultivariate logistic regression analysisDepression severityMild depressionIrregular eating patternsLogistic regression analysisDetect depressionDinner patternEating breakfastMeal patternsEating patternsDaily lunchSelf-reported dataSupport vector machine analysisBehavior monitoringNaturalistic settingsVector machine analysisFood choicesDepressionProfile of changesBehavioral dataDysregulated cerebral blood flow, rather than gray matter Volume, exhibits stronger correlations with blood inflammatory and lipid markers in depression
Kang L, Wang W, Nie Z, Gong Q, Yao L, Xiang D, Zhang N, Tu N, Feng H, Zong X, Bai H, Wang G, Wang F, Bu L, Liu Z. Dysregulated cerebral blood flow, rather than gray matter Volume, exhibits stronger correlations with blood inflammatory and lipid markers in depression. NeuroImage Clinical 2024, 41: 103581. PMID: 38430800, PMCID: PMC10944186, DOI: 10.1016/j.nicl.2024.103581.Peer-Reviewed Original ResearchConceptsGray matter volumeCerebral blood flowMatter volumeArterial spin labelingRight middle temporal gyrusPredictors of MDDMiddle temporal gyrusImmune markersBrain functional changesProportion of MDDExploratory correlation analysisTumor necrosis factor-alphaBlood flowMDD patientsDepressive disorderAngular gyrusTemporal gyrusNecrosis factor-alphaMDDBrain regionsCerebral blood flow changesBlood lipid levelsInferior temporalCase-control comparisonCD4 count
2023
Prediction of anxious depression using multimodal neuroimaging and machine learning
Zhou E, Wang W, Ma S, Xie X, Kang L, Xu S, Deng Z, Gong Q, Nie Z, Yao L, Bu L, Wang F, Liu Z. Prediction of anxious depression using multimodal neuroimaging and machine learning. NeuroImage 2023, 285: 120499. PMID: 38097055, DOI: 10.1016/j.neuroimage.2023.120499.Peer-Reviewed Original Research