33 research outputs found
Professional development perspectives across gender and age groups of under-qualified rural NEETs
Our study explored how self-efficacy perceptions are associated with Perceived Barriers (PB), meaning beliefs about constraints on current/future vocational development, and Professional Expectations (PE) among rural, under-qualified youths Not in Employment, nor in Education or Training (NEET). We also analyzed how the connections between these factors varied across gender and age groups. One-hundred and eighty eight NEETs participated in this study (58.20% female; (M = 23.05; SD = 1.96). Through linear regression analysis using PROCESS macros we found that higher self-efficacy was associated with stronger PB, after accounting for the effects of training offers and income. Moreover, men showing stronger self-efficacy also displayed stronger PB, while men depicting weaker self-efficacy presented weaker PB, compared to women in similar conditions. Being offered more training opportunities resulted in stronger perceptions of professional barriers for these NEETs. Thus, rural, under-qualified NEETs require person-centered approaches from employment services, to support their transition to employment/training.info:eu-repo/semantics/acceptedVersio
Structured activity and multiple group memberships as mechanisms of increased depression among young people not in employment, education or training
Aims
Young people Not in Employment, Education and Training (NEET) are at increased risk of depression, yet mechanisms of this association are poorly understood. We hypothesised that being NEET has both behavioural and social identity consequences and that reductions in structured activity and multiple group memberships underlie increased depression in this group. Our purpose was to assess first whether depression was greater for NEET compared to nonâNEET young people from the same geographical locality, and secondly, whether a loss of structured activity leading to a reduction in multiple group memberships explains the NEETâdepression association.
Methods
The present study was a crossâsectional betweenâgroups design using convenience sampling. Measures of depression, structured activity and multiple group memberships were obtained from 45 NEET young people and 190 university students (nonâNEET).
Results
The NEET group reported significantly more depression symptoms compared to the nonâNEET student control group. A path model specifying NEET status as a predictor of depression, with this association mediated by a reduction in structured activity and fewer multiple group memberships (standardised indirectâ= 0.03, unstandardised indirectâ= 0.62, P = 0.052, 95% bias corrected confidence intervals [0.21,1.44]), provided excellent fit to our data: Ï2(3)â= 0.26, P = 0.968, comparative fit index (CFI)â= 1.00, root mean square error of approximation (RMSEA)<0.01, standardized root mean square residual (SRMR)â= 0.01).
Conclusions
Our findings suggest that depression is elevated amongst NEET young people compared to nonâNEET students from the same locality. The association between NEET status and depression was partially mediated by reduced structured activity and its association with reduced multiple group memberships. Although using crossâsectional data, our findings suggest social interventions may be a key resource in ameliorating depression amongst NEET young people; through preserving engagement in structured activity and the wellbeing benefits derived from arising multiple group memberships.
Methods: The present study was a cross-sectional between-groups design using convenience sampling. Measures of depression, structured activity and multiple group memberships were obtained from 45 âNEETâ young people and 190 university students (Non-âNEETâ).
Results: The NEET group reported significantly more depression symptoms compared to the Non-NEET student control group. A path model specifying NEET status as a predictor of depression, with this association mediated by a reduction in structured activity and fewer multiple group memberships (standardised indirect = 0.03, unstandardised indirect= 0.62, p= .052, 95% Bias Corrected CIs [0.21; 1.44]), provided excellent fit to our data Ï2(3)= 0.26, p= .968, CFI= 1.00, RMSEA< .01, SRMR= .01, AIC= 2,792.75, BIC= 2,818.20).
Conclusions: Our findings suggest depression is elevated amongst NEET young people compared to Non-NEET students from the same locality. The association between NEET status and depression was partially mediated by reduced structured activity and its association with reduced multiple group memberships. Although cross-sectional, our findings suggest social interventions may be a key resource in ameliorating depression amongst NEET young people; through preserving engagement in structured activity and the wellbeing benefits derived from arising multiple group memberships
Physical activity attitudes, intentions and behaviour among 18-25 year olds: a mixed method study
Peer reviewedPublisher PD
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