Title: Don
1Dont forget the basics School
- Malmö, September 26, 2013
- Bo Vinnerljung, professor
- Social Work, Stockholm University
- bo.vinnerljung_at_socarb.su.se
2- Interdisciplinary research, eg.
- Anders Hjern, pediatrics/epidemiology
- Marie Berlin, sociology
- Karl Gauffin, public health
- Emma Björkenstam, epidemiology
- Eva Tideman, psychology
- Marie Sallnäs, social work
- Bo Vinnerljung, social work
3Anders Hjern
4Menue
- Crash course in epidemiological analysis
- Results from national cohort studies based on
register data - Results from intervention studies
- Relevance for work with anti-social adolescents
5What is risk?
- Increased/reduced probability
- for something specific For what?
- a relative concept Compared to whom/what?
- a quantitative concept How much?
- The comparison group has always Relative Risk
(RR) 1 - RR 2 is 100 more
- RR gt2-3 are high excess risks (over-risks)
- Risk does not say anything about how many
- 3 of all girls in Sweden become mothers before
age 20 - 0,75 of all boys become fathers before age 20
- The risk of teenage parenthood is 4 times higher
for girls compared to boys (RR 4)
6To adjust for background factors (confounders)
- If the distribution of these background factors
were the same in the groups that we compare are
there still any excess risks? - Examples sex, parental education
- Adjustments are done in multivariate analyses
each background factors unique association with
the outcome (all other variables being equal) -
7Nordic National registers
- Data bases covering the entire population.
Purpose statistics and research. - Individual data, based on a personal ID-number
that follows every resident from
birth/immigration to death - Each national register is regulated by law,
Strict secrecy rules. - All residents have a right to know the
information about them in the national registers
but they do have the right to erase information
about themselves in the registers. - Registers may be used/linked for research after
approval from an ethical board. Data are
anonymized - individuals cannot be identified. - No cases of abuse or leaks.
8Some medical national registers in the Nordic
countries
Register Denmark Finland Norway Sweden
Cause of death 1943 1969 1951 1952
Medical Birth 1973 1987 1967 1973
Hospital discharge 1977 1987 2008 1987
Cancer 1943 1952 1952 1958
Prescribed Drugs 1995 1995 2004 2005
9Epidemiology, exploratory research How many?
Changes over time? Who? Patterns of care? Care
leavers experiences. Prevalence of eg, mental and
somatic health problems
Longitudinal studies Risk factors, protective
factors? Risk mechanisms, mediators, moderators?
Clinical trials
10Does school matter for all children
- .. in a longitudinal perspective?
- Yes, school performance is a powerful predictor
of future psychosocial problems - regardless of SES (socioeconomic background,
class), at least in Sweden
11Grades final year of primary school (age 16)
- Low/incomplete grades lowest 1/6 in the country
lt (M-1 SD) - Compared to all the rest (5/6)
12Suicide attempts
SES for parents at age 10
Vinnerljung et al, 2010
13Links between childhood factors and drug abuse
after age 20
- All born in Sweden 1973-88, alive at age 16
- N1,4 million. Follow-up to 2008 (age 20-35).
- Indication of drug abuse
- Drug related death or
- Hospitalization with drug abuse diagnosis (not
intox) or - Convicted for drug related crime
- 3 (42.000)
- Gauffin et al, 2012
14Background factor RR (all else being equal)
Mothers SES --
Mother born outside Europa 1,7
Mother single 1,5
Mother a teenage mother --
Mother did not work --
Mother disability pension --
Mother lived on welfare 1,4
Mother serious mental health problems 1,3
Father serious mental health problems --
Mother substance abuse 1,4
Father substance abuse 1,6
Mother substantial criminality 1,3
Father substantial criminality 1,5
Grew up in a city vs in a rural community 1,7
Man (sex) 2,4
No/incomplete/very low school grades at age 16 4,1
15Poor grades/school performance have links to eg.
- Low cognitive capacity (0.65 with IQ at
conscription) - Other individual traits, eg. working memory
- Behavioral problems but this is not a one-way
street - Mental health problems
- Poor support from home, adverse childhood etc
- School related factors, poor peer status in
school
16What does this mean for children in societal
care?They do poorly in schoolSocial services
do a poor job with their school/education (but
not SiS) School failure is added to other
risk factors
17National cohort study/register data
- Analyses of datasets with all born 1972-1981.
Linking 10 national registers. - Follow-up from age 16 to 2005 (age 24-33)
- 930.000 persons, including
- 7.000 children that grew up in foster care,
average time in care 12 years - Vinnerljung et al, 2010 Berlin et al, 2011
-
-
18- No/incomplete/low grades Above average
- Boys
- Normal group 22 41
- In home care before teens 55 15
- Children from welfare families 57 13
- Grown up in foster care 60
11 - Girls
- Normal group 11
60 - In home care before teens 37
27 - Children from welfare families 40 25
- Grown up in foster care 43 23
- Grown up in foster care gt 5 years in care (M 11
years in care), left care after age 17. All
persons with disability pension at age 23 were
excluded from the analysis
19What factors increase the risk for poor grades
among foster children?
- Sex/gender
- Birth year --
- Age at placement --
- Time in care --
- Mother mental health problems --
- Mother substance abuse --
- Father mental health problems --
- Far substance abuse --
20Negative expectations...
- Results from trials suggest that social workers,
teachers and foster parents commonly - underestimate the cognitive capacity of foster
children - have pessimistic expectations of school
performance - Same results in Danish and British studies
21Foster children Five-fold disadvantaged by the
care and education system
- High risks of school failure
- Lower grades than peers with same IQ
- Lower education than peers with same IQ
- Lower education than peers with same grades
- Lower chances of secondary education if they had
poor grades (eg. fewer use adult education)
22-
- Children growing up in foster care have high
risks for future - Suicide RR 6.4
- Suicide attempts RR 6.2
- Serious mental health problems RR 5.0
- Drug abuse RR 6.8
- Alcohol abuse RR 4.9
- Serious criminality RR 7.5
- Teenage parenthood RR 3.8
- Welfare dependency RR 9.8
- (adjusted for sex and birth year)
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25Analyses of foster children only
- No/low grades the only substantial risk factor
for all negative outcomes (except sex) - Parental pathology no/weak association with
outcomes - No associations between age at placement or time
in care - Abscence of school failure the only strong factor
that predicted good outcomes (except gender)
regardless of how
good outcome was defined
26Conclusions
- Children who fail at school are a high risk group
for future psychosocial problems regardless of
socioeconomic background - School failure seems to be the strongest risk
mechanism for foster childrens long term
development (same for other children from the
social marginal) - A determinant for foster childrens future
- The good news school performance is a variable
risk factor . (in contrast to sex, age,
genes, experiences from early childhood etc)
27The Helsingborg trial - SkolFam
- 25 foster children age 7-12 were tested with
standardized psychological and educational
instruments - Results were used to
- access available support from school
- tailor individual educational support and
interventions - advice teachers/schools, foster parents - and the
children - This was done by an educational psychologist and
a special education teacher. - Re-tests after 24 months to evaluate the program
28Results after first measurements
- Normal cognitive capacity (average lower than
peers, same as international adoptees). - 75 were substantially underachieving in school
- Large knowledge gaps were common
- Most foster parents, social workers and teachers
had low/pessimistic expectations on the
childrens school performance. - Lots of pseudo-psychological explanations to why
the children did poorly in school - Pathologizing of children was common, amateur
diagnoses
29Results after 2 years
- Clinical knowledge says that the foster
childrens school performance should have
deteriorated (larger gaps over time between them
and normal population peers) - Wisc IQ Total (plt0,001)
- Wisc IQ Performance (plt0,01)
- Wisc IQ Verbal (plt 0,05)
- Spelling (DLS)
- Reading speed
- Word Chains
- Magnes Math diagnosis n.s.
- Tideman et al, 2011
30Replication in Norrköping 2008-11
- 21 children, two years between tests
- Working memory training was added for children
with poor numeracy skills - WISC same results as in Helsingborg
- Literacy similar results to Helsingborg
- But Maths.
- Tordön et al, submitted
31Math scores related to working memory training
Without WM training With WM training
Total
32- Case study Jens, age 11
- At start of intervention
- Personal assistent in school, concentration
problems, suspected ADHD, suspected learning
disability - IK 70, working memory 62 (WISC)
- Maths, stanine 1
- Working memory training
- Re-start in math
-
- After two years
- IK 86 (23) , working memory 99 (60 )
- Math stanine 5
- No concentration problems
- Likes school
33Paired Reading trial
- We trained foster parents to use a special
reading tecnique for 80 children age 8-12 - Reading 20 min/day, 3 days/week
- 16 weeks (pre-post evaluation, std instruments)
- Replication of a English trial
34Results
- The average child increased her/his reading age
with almost a year (11 months), after 4 months of
Paired Reading ( in England 12 months) - Improved scores on the WISC vocabulary scale
- Improved Total IQ
35- Interventions younger children
- School perform ? Anti-soc behavior
- ? Anti-soc behavior School perform
- --------------------------------------------------
--------------- - Interventions anti-social adolescents
- ? Anti-soc behavior School perform
- School perform ? Anti-soc behavior
-
36- Does improved literacy/numeracy skills have a
value, even if this is not related to reduced
anti-social behavior in the short run? - Yes it increases the chance that youth can
benefit from turning points later in life
(hypothesis).
37Turning points
- Far more decisive than treatment
- Examples partner, parenthood, getting tired of
crime/substance abuse, health concerns, getting a
job, religon - Today, inclusion in the labor market usually
requires school/education (learning a trade) - The way out,the escape from disadvantage.
38What to do?
- A minimum standard for school/education in
residential care for anti-social adolsecents - At least
- Assessment of literacy and numeracy skills
- Identify knowledge gaps in maths, re-start
- Start literacy and numeracy training, high
quality programs (evidence based methods). - Cognitive tests for assessing potential - but.
39- Results from cognitive tests (IQ)
- of children from the social marginal
- are often instable, and may change over time
-
40 References
- Jablonska B, Lindberg L, Lindblad F, Rasmussen F,
Östberg V Hjern A (2009) School performance and
hospital admissions due to self-inflicted
injuries. Int Journal of Epidemiology, 38,
1334-1341. - Björkenstam C, Björkenstam E, Ljung R,
Vinnerljung B Tuvblad C (2013). Suicidal
behavior among delinquent former child welfare
clients. European Child Adolescent Psychiatry,
22, 349-355. - Tideman E, Vinnerljung B, Hintze K Isaksson AA
(2011). Improving foster childrens school
achievements Promising results from a Swedish
intensive study. Adoption Fostering, 35, 44-56.
- Berlin M, Vinnerljung B Hjern A (2011). School
performance in primary school and psychosocial
problems in young adulthood among care leavers
from long term foster care. Children and Youth
Services Review, 33, 2489-2487. - Vinnerljung B Hjern A (2011). Cognitive,
educational and self-support outcomes of
long-term foster care versus adoption. A Swedish
national cohort study. Children and Youth
Services Review, 33, 1902-1910. - Forsman H Vinnerljung B (2012) Interventions
aiming to improve school achievements of children
in out-of-home care a scoping review. Children
and Youth Services Review. 34, 1084-1091. - Gauffin K, Vinnerljung B, Fridell M, Hesse M
Hjern A (2013). Childhood socioeconomic status,
school failure, and drug abuse a Swedish
national cohort study. Addiction, 108, 1441-1449.