Evidence map›Paper›PMID 33680714›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2022

Trends in rates of NEET (not in education, employment, or training) subgroups among youth aged 15 to 24 in Italy, 2004 - 2019.

Simone Amendola

Abstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Simone AmendolaDepartment of Dynamic and Clinical Psychology, Faculty of Medicine and Psychology, Sapienza, University of Rome, Via degli Apuli, 1, 00185 Rome, RM Italy.ORCID 0000-0002-1950-4351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of the present study was to explore trends in NEET rates according to gender and NEET subgroups in young Italian people. Furthermore, it examined whether trends changed following specific time points such as financial crisis in 2008, education and labor market strategies, and the partial recovery of European economy in 2014. Methods: All data were obtained from the ISTAT (Italian National Institute of Statistics) Database. NEET rates, stratified by gender and NEET subgroup, were extracted for young people aged 15 to 24 years from 2004 to 2019 in Italy. Trends in NEET rates stratified by gender and NEET subgroup (i.e., "unemployed", "potential workforce", "unavailable") were analyzed using joinpoint regression models. Results: The trends of the unemployed NEET rate were stable or decreasing until 2008, increasing between 2008 and 2014 and thereafter decreasing across both male and female genders. The trends of potential workforce NEET rate sharply increased between 2004 and 2014, and afterwards decreased in both genders. Finally, the trends of unavailable NEET rate were stable in females and constantly increasing in males over the entire analyzed period. Conclusions: According to the results of this ecological study, trends differences in NEET subgroups' rates emerged. The financial crisis in 2008 and the education and labor market strategies around 2014 mainly coincided with relevant changes in trends of unemployed NEET rate and, partially, with changes in trends of potential workforce NEET rate. The trend in unavailable NEET rate increased over the entire period in males, and did not show important changes in either gender. Supplementary Information: The online version contains supplementary material available at 10.1007/s10389-021-01484-3.

Indexed as

DisengagementEducationFinancial crisisLabour market transitionsYouth unemployment

Identifiers

PMID33680714
PMCPMC7924817

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.