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1.
Int Psychogeriatr ; 35(12): 717-723, 2023 Dec.
Article in English | MEDLINE | ID: mdl-36803400

ABSTRACT

OBJECTIVE: Frailty and late-life depression (LLD) often coexist and share several structural brain changes. We aimed to study the joint effect LLD and frailty have on brain structure. DESIGN: Cross-sectional study. SETTING: Academic Health Center. PARTICIPANTS: Thirty-one participants (14 LLD+Frail and 17 Never-depressed+Robust). MEASUREMENT: LLD was diagnosed by a geriatric psychiatrist according to the Diagnostic and Statistical Manual of Mental Disorders 5th edition for single episode or recurrent major depressive disorder without psychotic features. Frailty was assessed using the FRAIL scale (0-5), classifying subjects as robust (0), prefrail (1-2), and frail (3-5). Participants underwent T1-weighted magnetic resonance imaging in which covariance analysis of subcortical volumes and vertex-wise analysis of cortical thickness values were performed to access changes in grey matter. Participants also underwent diffusion tensor imaging in which tract-based spatial statistics was used with voxel-wise statistical analysis on fractional anisotropy and mean diffusion values to assess changes in white matter (WM). RESULTS: We found a significant difference in mean diffusion values (48,225 voxels; peak voxel: pFWER=0.005, MINI coord. (X,Y,Z) = -26,-11,27) between the LLD-Frail group and comparison group. The corresponding effect size (f=0.808) was large. CONCLUSION: We showed the LLD+Frailty group is associated with significant microstructural changes within WM tracts compared to Never-depressed+Robust individuals. Our findings indicate the possibility of a heightened neuroinflammatory burden as a potential mechanism underlying the co-occurrence of both conditions and the possibility of a depression-frailty phenotype in older adults.


Subject(s)
Depressive Disorder, Major , Frailty , Humans , Aged , Diffusion Tensor Imaging , Depression/diagnostic imaging , Pilot Projects , Frailty/diagnostic imaging , Cross-Sectional Studies , Neuroimaging
2.
Discov Ment Health ; 4(1): 24, 2024 Jul 18.
Article in English | MEDLINE | ID: mdl-39023816

ABSTRACT

Mental health literacy (MHL) was introduced 25 years ago as knowledge and beliefs about mental disorders which aid in their recognition, management, or prevention. This scoping review mapped the peer-reviewed literature to assess characteristics of secondary school-based surveys in school-attending youth and explore components of school-based programs for fostering MHL in this population. The search was performed following the method for scoping reviews by the Joanna Briggs Institute (JBI). Searches were conducted in four scientific databases with no time limit, although all sources had to be written in English. Primary studies (N = 44) provided insight into MHL surveys and programs for school-attending youth across 6 continents. Studies reported that most youth experience moderate or low MHL prior to program participation. School-based MHL programs are relatively unified in their definition and measures of MHL, using closed-ended scales, vignettes, or a combination of the two to measure youth MHL. However, before developing additional interventions, steps should be taken to address areas of weakness in current programming, such as the lack of a standardized tool for assessing MHL levels. Future research could assess the feasibility of developing and implementing a standard measurement protocol, with educator perspectives on integrating MHL efforts into the classroom. Identifying the base levels of MHL amongst school-attending youth promotes the development of targeted programs and reviewing the alignment with program components would allow researchers to build on what works, alter what does not, and come away with new ways to approach these complex challenges, ultimately advancing knowledge of MHL and improving levels of MHL.

3.
Article in English | MEDLINE | ID: mdl-37979944

ABSTRACT

BACKGROUND: The Toronto Adolescent and Youth (TAY) Cohort Study will characterize the neurobiological trajectories of psychosis spectrum symptoms, functioning, and suicidality (i.e., suicidal thoughts and behaviors) in youth seeking mental health care. Here, we present the neuroimaging and biosample component of the protocol. We also present feasibility and quality control metrics for the baseline sample collected thus far. METHODS: The current study includes youths (ages 11-24 years) who were referred to child and youth mental health services within a large tertiary care center in Toronto, Ontario, Canada, with target recruitment of 1500 participants. Participants were offered the opportunity to provide any or all of the following: 1) 1-hour magnetic resonance imaging (MRI) scan (electroencephalography if ineligible for or declined MRI), 2) blood sample for genomic and proteomic data (or saliva if blood collection was declined or not feasible) and urine sample, and 3) heart rate recording to assess respiratory sinus arrhythmia. RESULTS: Of the first 417 participants who consented to participate between May 4, 2021, and February 2, 2023, 412 agreed to participate in the imaging and biosample protocol. Of these, 334 completed imaging, 341 provided a biosample, 338 completed respiratory sinus arrhythmia, and 316 completed all 3. Following quality control, data usability was high (MRI: T1-weighted 99%, diffusion-weighted imaging 99%, arterial spin labeling 90%, resting-state functional MRI 95%, task functional MRI 90%; electroencephalography: 83%; respiratory sinus arrhythmia: 99%). CONCLUSIONS: The high consent rates, good completion rates, and high data usability reported here demonstrate the feasibility of collecting and using brain imaging and biosamples in a large clinical cohort of youths seeking mental health care.


Subject(s)
Proteomics , Psychotic Disorders , Child , Humans , Adolescent , Cohort Studies , Neuroimaging , Brain
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