Mental health services in the school environment—Future visions using a phenomenographic approach

Aims and objectives: First, to describe the variation in stakeholders' perceptions related to the desirable mental health services in school environments. Second, to construct alternative future visions based on these perceptions. Finally, to describe stakeholders' perceptions about the actions needed to reach such an ideal state.Background: The increased need for mental health care has challenged the role of schools and school health care in the area of mental health services for those of school-age. There is a need for future visions and comprehensive statements concerning the mental health services provided in the school environment.Design: The study was undertaken in Finland, between February 2020 and February 2021. Qualitative individual interviews were conducted with 15 professional stakeholders and focus group interviews with 10 stakeholders advocating for adolescents or parents.Method: The study was conducted with the phenomenographic approach using a visioning methodology. The study is reported following the COREQ checklist.Result: Four alternative future visions were formulated based on the perceptions of the stakeholders. They emphasised different aspects: (1) non-medicalising the school environment, (2) early and extensive intervention by school nurses enabled by work distribution with mental health specialists, (3) a multiprofessional team providing help on overall health questions and (4) a focusing of the services on mental disorders. Necessary changes were identified at the micro-, mezzo- and macro-level.Conclusion: The future visions are based on opposite perceptions related to the mission and focus of school health care. One extreme emphasises overall health promotion for everyone, while the other accentuates treatment for those suffering from mental disorders. The former may lead to inadequate help for mental health problems and the latter insufficient help for other health problems.Relevance to clinical practice: This study contributes alternative future visions, promotes strategic planning and helps to clarify the future role of school nurses.</p

Mental health services in the school environment—Future visions using a phenomenographic approach

Aims and objectives First, to describe the variation in stakeholders' perceptions related to the desirable mental health services in school environments. Second, to construct alternative future visions based on these perceptions. Finally, to describe stakeholders' perceptions about the actions needed to reach such an ideal state. Background The increased need for mental health care has challenged the role of schools and school health care in the area of mental health services for those of school-age. There is a need for future visions and comprehensive statements concerning the mental health services provided in the school environment. Design The study was undertaken in Finland, between February 2020 and February 2021. Qualitative individual interviews were conducted with 15 professional stakeholders and focus group interviews with 10 stakeholders advocating for adolescents or parents. Method The study was conducted with the phenomenographic approach using a visioning methodology. The study is reported following the COREQ checklist. Result Four alternative future visions were formulated based on the perceptions of the stakeholders. They emphasised different aspects: (1) non-medicalising the school environment, (2) early and extensive intervention by school nurses enabled by work distribution with mental health specialists, (3) a multiprofessional team providing help on overall health questions and (4) a focusing of the services on mental disorders. Necessary changes were identified at the micro-, mezzo- and macro-level. Conclusion The future visions are based on opposite perceptions related to the mission and focus of school health care. One extreme emphasises overall health promotion for everyone, while the other accentuates treatment for those suffering from mental disorders. The former may lead to inadequate help for mental health problems and the latter insufficient help for other health problems. Relevance to clinical practice This study contributes alternative future visions, promotes strategic planning and helps to clarify the future role of school nurses

Longitudinal associations between adolescent catch-up sleep, white-matter maturation and internalizing problems

International audienceSleep is an important contributor for neural maturation and emotion regulation during adolescence, with long-term effects on a range of white matter tracts implicated in affective processing in at-risk populations. We investigated the effects of adolescent sleep patterns on longitudinal changes in white matter development and whether this is related to the emergence of emotional (internalizing) problems. Sleep patterns and internalizing problems were assessed using self-report questionnaires in adolescents recruited in the general population followed up from age 14-19 years (N = 111 White matter structure was measured using diffusion tensor imaging (DTI) and estimated using fractional anisotropy (FA). We found that longitudinal increases in time in bed (TIB) on weekends and increases in TIB-variability between weekdays to weekend, were associated with an increase in FA in various interhemispheric and cortico-striatal tracts. Extracted FA values from left superior longitudinal fasciculus mediated the relationship between increases in TIB on weekends and a decrease in internalizing problems. These results imply that while insufficient sleep might have potentially harmful effects on long-term white matter development and internalizing problems, longer sleep duration on weekends (catch-up sleep) might be a natural counteractive and protective strategy

Chronotype, Longitudinal Volumetric Brain Variations Throughout Adolescence, and Depressive Symptom Development

International audienceAdolescence is a critical period for circadian rhythm, with a strong shift toward eveningness around age 14. Also, eveningness in adolescence has been found to predict later onset of depressive symptoms. However, no previous study has investigated structural variations associated with chronotype in early adolescence and how this adds to the development of depressive symptoms

Whole-brain gray matter maturation trajectories associated with autistic traits from adolescence to early adulthood

International audienceAbstract A growing number of evidence supports a continued distribution of autistic traits in the general population. However, brain maturation trajectories of autistic traits as well as the influence of sex on these trajectories remain largely unknown. We investigated the association of autistic traits in the general population, with longitudinal gray matter (GM) maturation trajectories during the critical period of adolescence. We assessed 709 community-based adolescents (54.7% women) at age 14 and 22. After testing the effect of sex, we used whole-brain voxel-based morphometry to measure longitudinal GM volumes changes associated with autistic traits measured by the Social Responsiveness Scale (SRS) total and sub-scores. In women, we observed that the SRS was associated with slower GM volume decrease globally and in the left parahippocampus and middle temporal gyrus. The social communication sub-score correlated with slower GM volume decrease in the left parahippocampal, superior temporal gyrus, and pallidum; and the social cognition sub-score correlated with slower GM volume decrease in the left middle temporal gyrus, the right ventromedial prefrontal and orbitofrontal cortex. No longitudinal association was found in men. Autistic traits in young women were found to be associated with specific brain trajectories in regions of the social brain and the reward circuit known to be involved in Autism Spectrum Disorder. These findings support both the hypothesis of an earlier GM maturation associated with autistic traits in adolescence and of protective mechanisms in women. They advocate for further studies on brain trajectories associated with autistic traits in women

Anxiety onset in adolescents: a machine-learning prediction

International audienceAbstract Recent longitudinal studies in youth have reported MRI correlates of prospective anxiety symptoms during adolescence, a vulnerable period for the onset of anxiety disorders. However, their predictive value has not been established. Individual prediction through machine-learning algorithms might help bridge the gap to clinical relevance. A voting classifier with Random Forest, Support Vector Machine and Logistic Regression algorithms was used to evaluate the predictive pertinence of gray matter volumes of interest and psychometric scores in the detection of prospective clinical anxiety. Participants with clinical anxiety at age 18–23 ( N = 156) were investigated at age 14 along with healthy controls ( N = 424). Shapley values were extracted for in-depth interpretation of feature importance. Prospective prediction of pooled anxiety disorders relied mostly on psychometric features and achieved moderate performance (area under the receiver operating curve = 0.68), while generalized anxiety disorder (GAD) prediction achieved similar performance. MRI regional volumes did not improve the prediction performance of prospective pooled anxiety disorders with respect to psychometric features alone, but they improved the prediction performance of GAD, with the caudate and pallidum volumes being among the most contributing features. To conclude, in non-anxious 14 year old adolescents, future clinical anxiety onset 4–8 years later could be individually predicted. Psychometric features such as neuroticism, hopelessness and emotional symptoms were the main contributors to pooled anxiety disorders prediction. Neuroanatomical data, such as caudate and pallidum volume, proved valuable for GAD and should be included in prospective clinical anxiety prediction in adolescents