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European Journal of Public Health
Article . 2024 . Peer-reviewed
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Once in NEET, always in NEET? Childhood and adolescent risk factors for different NEET patterns

Childhood and adolescent risk factors for different NEET patterns
Authors: Karin Veldman; Sander K R van Zon; Ute Bültmann;

Once in NEET, always in NEET? Childhood and adolescent risk factors for different NEET patterns

Abstract

Abstract Background Young adults in Neither in Employment, Education nor Training (NEET) are at risk of adverse labour market outcomes. Earlier studies often measured NEET status at one time point or compared persistent NEETs with non-NEETs, neglecting other patterns of NEET status. Evidence on early life factors associated with NEET patterns is lacking. This study aims to (i) identify patterns of NEET status over time and (ii) examine whether factors in childhood and adolescence are associated with these patterns. Methods Data were used from 1499 participants of the TRacking Adolescents’ Individual Lives Survey (TRAILS), a Dutch prospective cohort study with 15-year follow-up. NEET status was assessed at ages 19, 22 and 26. Socioeconomic status of parents (SES), intelligence and negative life events were measured at age 11, educational attainment at age 26 and mental health problems at ages 11, 13.5 and 16. Data were analyzed using multinomial logistic regression analysis. Results Four NEET patterns were identified: (i) non-NEETs (85.2%), (ii) early NEETs (4.5%), (iii) late NEETs (5.7%) and (iv) persistent NEETs (4.5%). Reporting internalizing problems at age 11 was a risk factor for early and late NEETs [odds ratio (OR) 2.77, 95% confidence interval (CI) 1.16–6.62; OR 5.00, 95% CI 2.22–11.3, respectively]. Low parental SES, lower intelligence scores and negative life events (≥3) were risk factors for persistent NEETs (OR 4.45, 95% CI 2.00–9.91; OR 0.96, 95% CI 0.94–0.98; OR 4.42, 95% CI 1.62–12.08, respectively). Conclusions The results highlight the importance of timing and duration of NEET status and emphasize the need for tailored interventions to prevent specific NEET patterns.

Country
Netherlands
Keywords

Male, Adult, Adolescent, Young Adult, Socioeconomic Factors, Social Class, Risk Factors, Unemployment, Child and Adolescent Health, Humans, Educational Status, Female, Prospective Studies, Child, Netherlands

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
21
Top 10%
Top 10%
Top 10%
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