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Background:
Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models.
Methods:
For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases.
Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning
can then be deployed to classify specific behaviour and mental health patterns.
Results:
We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through
rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project.
Conclusions:
This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns
of unknown effects.
Pandemic depression
(2022)
We investigate the effect of the COVID-19 pandemic on self-employed people’s mental health. Using representative longitudinal survey data from Germany, we reveal differential effects by gender: whereas self-employed women experienced a substantial deterioration in their mental health, self-employed men displayed no significant changes up to early 2021. Financial losses are important in explaining these differences. In addition, we find larger mental health responses among self-employed women who were directly affected by government-imposed restrictions and bore an increased childcare burden due to school and daycare closures. We also find that self-employed individuals who are more resilient coped better with the crisis.
Labor market policies, such as training and sanctions, are commonly used to bring workers back to work. By analogy to medical treatments, exposure to these tools can have side effects. We study the effects on health using individual-level population registers on labor market outcomes, drug prescriptions, and sickness absence, comparing outcomes before and after exposure to training and sanctions. Training improves cardiovascular and mental health, and lowers sickness absence. This is likely to be the result of the instantaneous features of participation, such as the adoption of a more rigorous daily routine, rather than improved employment prospects. Benefits sanctions cause a short-run deterioration of mental health.
The primary aim of the current study was to examine the unique contribution of psychological need frustration and need satisfaction in the prediction of adults’ mental well-being and ill-being in a heterogeneous sample of adults (N = 334; Mage = 43.33, SD = 32.26; 53% females). Prior to this, validity evidence was provided for the German version of the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) based on Self-Determination Theory (SDT). The results of the validation analyses found the German BPNSFS to be a valid and reliable measurement. Further, structural equation modeling (SEM) showed that both need satisfaction and frustration yielded unique and opposing associations with well-being. Specifically, the dimension of psychological need frustration predicted adults’ ill-being. Future research should examine whether frustration of psychological needs is involved in the onset and maintenance of psychopathology (e.g., major depressive disorder).
Satisfaction and frustration of the needs for autonomy, competence, and relatedness, as assessed with the 24-item Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS), have been found to be crucial indicators of individuals’ psychological health. To increase the usability of this scale within a clinical and health services research context, we aimed to validate a German short version (12 items) of this scale in individuals with depression including the examination of the relations from need frustration and need satisfaction to ill-being and quality of life (QOL). This cross-sectional study involved 344 adults diagnosed with depression (Mage (SD) = 47.5 years (11.1); 71.8% females). Confirmatory factor analyses indicated that the short version of the BPNSFS was not only reliable, but also fitted a six-factor structure (i.e., satisfaction/frustration X type of need). Subsequent structural equation modeling showed that need frustration related positively to indicators of ill-being and negatively to QOL. Surprisingly, need satisfaction did not predict differences in ill-being or QOL. The short form of the BPNSFS represents a practical instrument to measure need satisfaction and frustration in people with depression. Further, the results support recent evidence on the importance of especially need frustration in the prediction of psychopathology.
Personal values and personality traits are related yet distinguishable constructs linked to mental health. The present study extends the current literature on personal values and personality traits by investigating the associations between the higher-order dimensions of personal values (i.e., general values factor, conservation, and self-transcendence), trait emotional intelligence (TEI), and mental health problems (i.e., depressive, anxiety, and somatoform syndromes). The study draws on a cross-sectional online sample of N = 618 young German adults. Global TEI and all four TEI factors (i.e., well-being, sociability, emotionality, and self-control) correlated positively with the g-value factor but negatively with conservation. Emotionality was also positively related to self-transcendence. Mental health problems correlated positively with conservation and negatively with the general values factor. When the effects of global TEI were accounted for, conservation but not the general values factor remained significantly related to mental health problems. Global TEI fully mediated the relationship between the g-value factor and mental health problems and partially mediated the association between conservation and mental health problems. The implications of these results are discussed.
This study aimed to validate the Norwegian version of the Basic Psychological Need Satisfaction and Frustration Scale (BPNSFS) and to examine its relations with indicators of well-being and ill-being. Additionally, despite the vast number of studies employing the BPNSFS, norms related to the BPNSFS are currently lacking.
Therefore, we also aimed to provide normative data for this scale. Data were collected among a representative sample of 326 participants (M age = 42.90 years, SD = 14.76; range 18-70) in Norway, of which 49.7% was female.
Results yielded evidence for a six-factor structure (i.e., combining satisfaction/frustration with the type of need) and showed the subscales to be highly reliable. Subsequent structural equation modeling showed that both need satisfaction and need frustration related strongly to vitality, life satisfaction, and internalizing symptoms, but in opposite ways. Norm scores were provided, thereby differentiating between women and men and different age groups.
These findings support the use of the Norwegian BPNSFS and provide researchers and professionals with normative data on the most widely used tool to assess individuals' satisfaction and frustration of the basic psychological needs for autonomy, competence, and relatedness.
Objectives:
The prevalence rates for mental health (MH) problems in cancer patients is high, although reduced uptake of services may be influenced by mental health literacy (MHL). The objective of this study was to investigate the MHL for depression and panic disorder (PD), including treatment preferences in Australian adults who had been diagnosed and treated for cancer, and whether MHL and treatment preferences was influenced by sex, age, and individuals' lived MH experience.
Method:
A total of 421 cancer survivors (n = 378 females) completed a self-report survey. Participants were asked to specify whether they had a lived experience with anxiety and/or depression, and to indicate treatment preferences for managing cancer-related distress. Two vignettes were administered to assess MHL for depression and PD.
Results:
The MHL accuracy for depression was higher than PD. Accuracy rates were higher for females with a lived experience with anxiety and/or depression; although the accuracy rate for PD was significantly lower in males. A high proportion of individuals preferred exercise and in-person counselling to manage depression and PD. Internet-based therapies were not strongly preferred for managing MH problems.
Conclusions:
The MHL for depression and PD is moderate for adult cancer survivors, with higher levels indicated for individuals with a personal lived experience with anxiety and/or depression. Public health campaigns for enhancing MHL should broaden to include individuals experiencing comorbid physical health conditions. Health providers also need to take into account client preferences for evidence-based therapies.
Robust research continues to broaden and deepen the field's understanding of immigrants' ethnic-racial identity and mental health.
We highlight opportunities to pioneer the literature by questioning "who" is meant by immigrant (clearly defining generational status, going beyond covariate and difference -based approaches, focusing on immigrants from under-studied ethnic-racial backgrounds), "what" is meant by iden-tity (ethnic/heritage/native, conjoined with multiple identities such as national, regional, politicized), "where" experiences are taking place (globalization, differences in how immigrants are defined and viewed across contexts), and the "why" or importance of continuing this work (identity as resilience against mental health risks).
Targeting under-researched in-tersections among the "who-what-where-why" can build knowledge and insight for researchers and practitioners who work with immigrant families, and perhaps for immigrants themselves.
Children of immigrants represent one in four children in the United States and will represent one in three children by 2050. Children of Asian and Latino immigrants together represent the majority of children of immigrants in the United States. Children of immigrants may be immigrants themselves, or they may have been born in the United States to foreign-born parents; their status may be legal or undocumented. We review transcultural and culture-specific factors that influence the various ways in which stressors are experienced; we also discuss the ways in which parental socialization and developmental processes function as risk factors or protective factors in their influence on the mental health of children of immigrants. Children of immigrants with elevated risk for mental health problems are more likely to be undocumented immigrants, refugees, or unaccompanied minors. We describe interventions and policies that show promise for reducing mental health problems among children of immigrants in the United States.