| Literature DB >> 35146318 |
Robert Schlack1, Nele Peerenboom1,2, Laura Neuperdt1, Stephan Junker1, Ann-Kristin Beyer1.
Abstract
Mental health problems in childhood and adolescence may have effects into adulthood. With the KiGGS cohort, data are available for the first time that can be used to track the effects of internalising and externalising problems in childhood or adolescence into young adulthood on a national database. From the KiGGS baseline survey (2003-2006) to KiGGS Wave 2 (2014-2017), a total of 3,546 children and adolescents aged 11 to 17 years were tracked over a period of eleven years into young adulthood. Mental health problems in childhood or adolescence were variously associated with impaired mental health, lower life satisfaction and poorer quality of life and indicators of sexual and reproductive health in young adulthood. When psychosocial protective factors at the time of the KiGGS baseline survey were considered, the longitudinal correlations of internalising and externalising problems with indicators of mental health, life satisfaction and physical and psychological quality of life decreased, as did, to a lesser extent, the correlations with indicators of sexual and reproductive health and, for externalising disorders, also with low educational status (reference: medium). Implications for prevention and intervention are discussed. © Robert Koch Institute. All rights reserved unless explicitly granted.Entities:
Keywords: DEVELOPMENT OUTCOMES; EXTERNALISING; INTERNALISING; POPULATION-BASED; YOUNG ADULTS
Year: 2021 PMID: 35146318 PMCID: PMC8734087 DOI: 10.25646/8863
Source DB: PubMed Journal: J Health Monit ISSN: 2511-2708
Figure 1Structure of the German Health Interview and Examination Survey for Children and Adolescents (KiGGS)
Source: Mauz et al. 2017 [21]
Predicting developmental outcomes in young adulthood (age 21 to 31 years) in the presence of internalising problems in childhood or adolescence using linear and logistic regression models[1]
Source: KiGGS baseline survey (2003–2006),
KiGGS Wave 2 (2014–2017)
| Outcome in young adulthood[ | Coefficient for internalising problems in Model 1[ | Coefficient for internalising problems in Model 2[ |
|---|---|---|
|
| ||
| General mental health (MHI-5) (n=3,449) | B=-6.03[ | B=-5.10[ |
| Depressive symptoms (PHQ-8) (n=3,456) | B=1.35 | B=1.21 |
| Panic disorder (PHQ panic) (n=3,421) | OR=1.95 | OR=2.11 |
| Eating disorder symptoms (SCOFF) (n=3,481) | OR=1.80 | OR=1.73 |
|
| ||
| General life satisfaction (PWI-A) (n=3,455) | B=-6.67[ | B=-5.27[ |
| Physical quality of life (SF-8) (n=3,480) | B=-1.06[ | B=-0.82[ |
| Psychological quality of life (SF-8) (n=3,480) | B=-3.11 | B=-2.68[ |
|
| ||
| Low vs. medium (n=3,463) | RRR=1.24 | OR=1.17 |
| High vs. medium (n=3,463) | RRR=0.85 | OR=0.89 |
|
| ||
| Risky alcohol consumption (Audit-C)[ | B=-0.47[ | B=-0.45[ |
| Smoking (n=3,492) | OR=0.84 | OR=0.87 |
|
| ||
| Permanent partnership (n=3,491) | OR=0.79 | OR=0.83 |
| Age of first sexual intercourse (n=3,192) | B=0.50[ | B=0.38[ |
| Number of sexual partners (n=3,206) | B=-0.05 | B=-0.05 |
| General vs. occasional condom use[ | RRR=1.01 | OR=1.02 |
| No vs. occasional condom use[ | RRR=0.91 | OR=0.94 |
| Risk for unplanned children (n=340)[ | OR=2.24[ | OR=2.40[ |
B = Beta coefficient, OR = Odds Ratio, RRR = Relative Risk Ratio, MHI = Mental Health Inventory, PHQ = Patient Health Questionnaire,
SCOFF = Sick, Control, One, Fat, Food, PWI-A = Personal Wellbeing Index, SF = Short-Form Health Survey,
ISCED = International Standard Classification of Education, Audit-C = Alcohol use disorders identification test – Consumption
* p < 0.05,
** p < 0.01,
*** p < 0.001
1 Model 1 without and model 2 with consideration of protective factors at KiGGS baseline survey
2 All models adjusted for age, gender, socioeconomic status, migration background and externalising problems
3 OR for categorical outcomes (binary logistic regression), RRR for categorical outcomes (multinomial logistic regression), B for metric outcomes (linear regression), negative coefficients indicate an opposite, positive coefficients an concordant association of the predictor with the respective outcome
4 With adjustment for protective factors
5 Models additionally adjusted for quadratic age term
6 Models additionally adjusted for fixed partnership
7 Lower case number due to filtering in the questionnaire
Predicting developmental outcomes in young adulthood (age 21 to 31 years) in the presence of externalising problems in childhood or adolescence using linear and logistic regression models[1]
Source: KiGGS baseline survey (2003–2006),
KiGGS Wave 2 (2014–2017)
| Outcome in young adulthood[ | Coefficient for externalising problems in Model 1[ | Coefficient for externalising problems in Model 2[ |
|---|---|---|
|
| ||
| General mental health (MHI-5) (n=3,449) | B=-3.71[ | B=-2.75[ |
| Depressive Symptoms (PHQ-8) (n=3,456) | B=1.05[ | B=0.79[ |
| Panic disorder (PHQ panic) (n=3,421) | OR=1.08 | OR=1.04 |
| Eating disorder symptoms (SCOFF) (n=3,481) | OR=1.43[ | OR=1.31[ |
|
| ||
| General life satisfaction (PWI-A) (n=3,455) | B=-4.01[ | B=-2.48 |
| Physical quality of life (SF-8) (n=3,480) | B=-1.63[ | B=-1.36[ |
| Psychological quality of life (SF-8) (n=3,480) | B=-0.75 | B=-1.25 |
|
| ||
| Low vs. medium (n=3,463) | RRR=2.53[ | OR=2.37[ |
| High vs. medium (n=3,463) | RRR=0.68[ | OR=0.68[ |
|
| ||
| Risky alcohol consumption (Audit-C)[ | B=0.18 | B=0.13 |
| Smoking (n=3,492) | OR=2.50[ | OR=2.39[ |
|
| ||
| Permanent partnership (n=3,491) | OR=1.13 | OR=1.13 |
| Age of first sexual intercourse (n=3,192) | B=-0.71[ | B=-0.71[ |
| Number of sexual partners (n=3,206) | B=0.36[ | B=0.34 |
| General vs. occasional condom use[ | RRR=0.95 | OR=1.00 |
| No vs. occasional condom use[ | RRR=0.96 | OR=0.98 |
| Risk for unplanned children (n=340)[ | OR=0.38[ | OR=0.33[ |
B = Beta coefficient, OR = Odds Ratio, RRR = Relative Risk Ratio, MHI = Mental Health Inventory, PHQ = Patient Health Questionnaire,
SCOFF = Sick, Control, One, Fat, Food, PWI-A = Personal Wellbeing Index, SF = Short-Form Health Survey,
ISCED = International Standard Classification of Education, Audit-C = Alcohol use disorders identification test – Consumption
* p < 0.05,
** p < 0.01,
*** p < 0.001
1 Model 1 without and model 2 with consideration of protective factors at KiGGS baseline survey
2 All models adjusted for age, gender, socioeconomic status and migration background and internalising problems
3 OR for categorical outcomes (binary logistic regression), RRR for categorical outcomes (multinomial logistic regression), B for metric outcomes (linear regression), negative coefficients indicate an opposite, positive coefficients indicate a same-sense association of the predictor with the respective outcome
4 Adjusted for protective factors
5 Models additionally adjusted for quadratic age term
6 Models additionally adjusted for steady partnership and number of sexual partners
7 Lower case number due to filtering in the questionnaire