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. 2021 Dec 21;57(6):1107–1121. doi: 10.1007/s00127-021-02212-8

Table 1.

Characteristics of the selected studies

References Country, baseline year Design N Sample NEET measure Mental health and substance use measures Direction(s) of associationa Statistical Methods Covariatesb
Baggio et al. [17] Switzerland, 2010–2012 Cohort 4758 Young men in their early 20's at baseline Current status, excluding those in the military or civic service General mental health, depressive symptoms, alcohol use, and cannabis use disorder

MH < – > NEET

NEET– > MH

MH– > NEET

Logistic regression Language, age, family SES
Bania et al. [42] Norway, 2003–2005 Cohort 3987 Youth 15–16 years old at baseline Did not complete post-secondary school and unemployed for 1 + year, or received 6 + months of sickness benefits during the 9-year study period (2003–2012) Conduct and emotional problems MH– > NEET Logistic regression Gender, residency, ethnicity, parental education
Basta et al. [46] Greece, 2016 Cross-sectional 2771 Youth 15–24 years old Current status Anxiety and depressive symptoms, drug use MH < – > NEET Logistic regression Gender, insurance, income, living with parents, being married, financial support by others
Benjet et al. [12] Mexico, 2005 Cross-sectional 3005 Youth 12–17 years old Current status Mood, anxiety, substance use and behavioural disorders, and suicidal behaviours MH < – > NEET Logistic regression Age, gender, SES, marital status, having children, living with parents, parental SES
Bynner and Parsons [20] United Kingdom, 1987 Cohort 930 Youth 16–18 years old at baseline not in full-time education NEET for 6 + months between 16–18 years old Psychological distress NEET– > MH Logistic regression Birth weight, cognitive abilities, hobbies, and family circumstances in childhood
Cairns et al. [37] Australia, 2013 Cross-sectional 226 Youth 15–25 years old seeking services Current status, excludes those in carer role Psychological distress, history of mental health diagnosis, and history of illicit drug use MH < – > NEET Multinomial logistic regression Age, gender, secondary school dropout, psychological distress, history of mental health diagnosis, history of illicit drug use
Gariépy and Iyer [40] Canada, 2014 Cross-sectional 5622 Youth 15–29 years old Current status Depression, bipolar, generalized anxiety, alcohol use, cannabis use, and drug use disorders, and suicidal behaviours MH < – > NEET Logistic regression Age, gender, SES, ethnicity, immigrant status, living arrangement, health conditions, location
Goldman-Mellor et al. [14] United Kingdom, 2012–2013 Cohort 2232 Twins 17–18 years old at baseline Current status, excludes parents Depressive, generalized anxiety, alcohol, cannabis, and conduct disorders (age 18), and childhood depressive, anxiety, substance use disorders, and suicidal behaviours (age 12)

MH– > NEET

MH < – > NEET

Modified Poisson and logistic regression Gender, cognitive ability, family SES, neighborhood, childhood mental health problems
Gutierrez-Garcia et al. [15] Mexico, 2005 Cohort 1071 Youth 12–17 years old at baseline Current status Mood, anxiety, alcohol use, substance use and behavioural disorders, and suicidal behaviours NEET– > MH Logistic regression Gender, age, marital status, family SES
Gutierrez-Garcia et al. [39] Mexico, 2013 Cross-sectional 1071 Youth 19–26 years old Current status Mood, anxiety, behavioural, and substance use disorders; suicidal behaviours MH < – > NEET Logistic regression Gender, marital status, has children, education, living with family of origin
Hale and Viner [49] United Kingdom, 2004 Cohort 8682 Youth 13 years old at baseline Current status Psychological distress MH– > NEET Logistic regression SES, ethnicity and educational attainment
Hammerton et al. [43]

Brazil, 2004–2005

United Kingdom, 2002–2003

Cohort Brazil: 3939; UK: 5079 Youth age 11 years old at baseline Current status Conduct problem and oppositional problem MH– > NEET Logistic regression Sex, parental separation, fear of the neighborhood at age 11, maternal risk factors (SES, smoking, depression, unplanned pregnancy, alcohol use, urinary infection during pregnancy), birth factors (intrauterine growth restriction, gestational age, premature birth)
Henderson et al. [19] Canada, 2009–2013 Cross-sectional 2576 Youth 12–24 years old seeking services Current status Internalizing, externalizing, and substance use disorders MH < – > NEET Chi-square tests Age
López-López et al. [41] United Kingdom, 2002–2003 Cohort 4501 Youth age 11 years old at baseline Current status Trajectories of depressive symptoms MH– > NEET Logistic regression Sex, IQ, maternal postnatal depression, maternal education, attitude towards school and academic results at age 11
Manhica et al. [48] Sweden, 2005–2009 Cohort 485,839 Youth 19–24 years old with secondary education NEET indicator of labour market attachment in past year Alcohol use disorder NEET– > MH Cox regression Sex, age, domicile and origin
Nardi et al. [13] Italy, 2010–2011 Case–control 228 NEET youth from juvenile court services or the community and non-NEET youth from a technical institute, 16–23 years old Not stated Symptoms of nervousness, mood swings, or thoughts of suicide MH < – > NEET Chi-square tests None
Nardi et al. [36] Italy, 2010–2011 Cross-sectional 143 Youth involved in criminal proceedings, 16–19 years old Current status Psychiatric disorders diagnosed by psychiatric services MH < – > NEET Chi-square tests None
O'Dea et al. [38] Australia, 2011–2012 Cross-sectional 676 Youth seeking services 15–25 years old Current status Symptoms of mood, anxiety, alcohol use, and cannabis use disorders MH < – > NEET Logistic regression Age, gender, criminal charges, economic hardship, self-rated disability, clinical stage
O'Dea et al. [16] Australia, 2011–2012 Cohort 448 Youth seeking services 15–25 years old at baseline Past-month status Depressive and generalized anxiety disorders

MH– > NEET

NEET– > MH

Multinomial logistic regression and chi-square tests Age, gender, location, immigrant background
Power et al. [18] Ireland, 2000–2002 Cohort 168 Youth 15–25 years old Not stated Mood, anxiety, alcohol, substance use disorders, and suicidal behaviours

MH < – > NEET

MH– > NEET

Logistic regression Gender and SES
Rodwell et al. [57] Australia, 1992–1993 Cohort 1938 Youth 14–15 years old at baseline Current status Common mental disorders; disruptive, alcohol use, and cannabis use disorders MH– > NEET Logistic regression Gender, marital status, location, parental education, year
Stea et al. [50] Sweden Cross-sectional 480 NEET youth from vocational services and non-NEET youth attending high school, 16–21 years old Current status Psychological distress MH < – > NEET Logistic regression Sex, parental education
Stea et al. [45] Sweden Cross-sectional 480 NEET youth from vocational services and non-NEET youth attending high school, 16–21 years old Current status Cannabis use MH < – > NEET Logistic regression Sex, age, parental education
Symonds et al. [11] United Kingdom, 2005 Cohort 11,082 Youth 14–15 years old at baseline Current status, excludes those caring full-time for others Symptoms of depression, anxiety, and positive mental functioning MH– > NEET Linear regression Gender, ethnicity, SES, childhood achievement

aNEET: not in education, employment, or training; MH: mental health

bSES: socioeconomic status