Presentation is loading. Please wait.

Presentation is loading. Please wait.

Colleen M. Adnams CIFASD Winter meeting DC 2 February 2011

Similar presentations


Presentation on theme: "Colleen M. Adnams CIFASD Winter meeting DC 2 February 2011"— Presentation transcript:

1 Colleen M. Adnams CIFASD Winter meeting DC 2 February 2011
South Africa Update Colleen M. Adnams MD, FCPaed University of Cape Town CIFASD Winter Meeting Rockville, MD 2 February 2011 Colleen M. Adnams CIFASD Winter meeting DC 2 February 2011

2 CIFASD clinical project collaborators:
Sarah Mattson, PhD, San Diego State University, PI Elizabeth Sowell, PhD, UCLA, PI Phil May, PhD, The University of New Mexico, PI Tatiana Foroud, PhD, Indiana University, PI

3 UCT Site CIFASD Studies updated in progress reports of PI’s
Site specific progress Snapshots of site data Challenges and opportunities of research in a South Africa population Future plans

4 Neurobehavioural Study
DemRecGroup Age13-15 yr (PMS2C) Age 8-10 yr (PMS8C) Total FASD 54 48 102 Control 36 23 59 IQ contrast 17 40 Unknown 6 119 88 207

5 Brain Mapping Study Phase 1
8-10 yr olds 13-15 yr olds Grand total Females Males Total 13 16 29 31 42 71 100 FASD 6 8 14 20 33 47 Control 7 12 9 21 34 Low IQ 2 5 15 Unknown 1 3 4

6 Face and Brain Mapping Phase II
Females Males Total FASD 1 2 Control Low IQ 3

7 Neurobehaviour Study Follow-up
FASD 6 Control 3 IQ contrast 1 Unknown Total 10

8 3-D Imaging study FASD 2 Control 1 Total 3

9 FASD research in the context of a developing country: Global Research in Intellectual Disability
Atlas : Global Resources for Persons with Intellectual Disabilities, WHO, 2007

10 Confounding influences of cognitive research in low SES settings
Evidence for an association of poverty and disability, especially intellectual disability, in all countries Scarce information on how poverty and disability affect each other in developing countries How does this relationship manifest in terms of prevalence and manifestation of developmental disabilities, such as FASD, and poverty in South Africa? In 12 African countries, surveys of grade 6 (end of primary school) children showed that on average 57% had not achieved minimum reading levels (Grantham-McGregor et al, 2007)

11 Measurements of intelligence
Intelligence Scales Measure FASD n=49 Mean score (SD) CONTROL n=59 P value LEITER (age 10yr) 67.6 (10.3) 79.8 (11.3) .000 ** WISC-IV FULL SCALE (age 4.6 yr) 54.1 (2.13) 69.3 (12.1) WISC-IV VERBAL 54.7 (11.23) 67.1 (13.3) WISC-IV PERCEPTUAL REASONING 64.7 (12.84) 78.4 (12.11) **

12 Influence of general intelligence on other cognitive functions: Executive Function (age 14.6 yr)
Test of Executive Function FASD n = 49 Scale score Mean (SD) CONTROL Mean (SD) p value DKEFS Category 25.18 30.31 .001 DKEFS Letter Fluency 13.43 21.08 .000 DKEFS switching 10.08 11.51 .007

13 Effect of IQ on EF F Significance Test of Executive Function
DKEFS Category Covariant WISC LEITER .039 1.45 .843 .232 DKEFS Letter Fluency .486 5.10 .487 .026 DKEFS switching .419 1.230 .519 .270

14 Language deficits in FASD: Production, Comprehension, Naming
Known expressive and receptive deficits described in younger children Evidence of changes in language ability with age Sample: years old SES, Maternal Education similar IQ: FASD < Control group Claire Corbett, M.A. CONTROL FASD N 25 Age 15.3 15.6 Grade 9 7

15 Language: Production, Comprehension, Naming
COMPREHENSION and NAMING impairments  accounted for by IQ deficits [TROG-2; CELF-R (receptive); Boston Naming Test] EXPRESSIVE language  impaired beyond what Perceptual Reasoning IQ accounted for [CELF-R expressive language] 1) Expressive language more complex 2) Flooring effect- could not see differences between CELF-R expressive and receptive prior to regression analysis. NARRATIVE DISCOURSE  No difference between FASD and Controls Poor performance by controls Cookie Jar Theft Picture  ineffective test measure

16 Behavioural and mental health problems: Achenbach Scale Teacher Reports (TRF)
Aim: Examine the behavioural profile of children with FASD and typically developing controls over time in a South African educational setting. N=68 (Wellington lll cohort); (FASD (FAS/PFAS) = 47; CON = 21 Mean age CIFASD 1, T1 = 10.0 yr (SD=0.65); Mean age CIFASD ll, T2 = 14.9 yr (SD= 0.71) Administered ASEBA Teacher Report Form by current teacher.

17 DSM-Oriented Behavioural and mental health problems: Achenbach Scale Teacher Reports (TRF) Time 1, 10yr T score **p<0.01 *p<0.05

18 DSM-Oriented Behavioural and mental health problems: Achenbach Scale Teacher Reports (TRF) Time 2, 14.9yr T score **=p<0.01 *p<0.05

19 Change in DSM-oriented problems from T1 (10. 0yr) – T2 (14
Change in DSM-oriented problems from T1 (10.0yr) – T2 (14.9 yr) in FASD and CON T Score

20 Mental health and behaviour
Covariant analysis (IQ, age, sex): Effect of group on affect, conduct, ADHD, attention and hyper-imp. problems at T1 (p<0.05) Effect of IQ covariate on affect and attention at T2 No significant changes in FASD of CON group over time ? Some behavioural adaptation in FASD over time RSA 2011 Abstract submitted: CM Adnams, T Pomario, PA May, EP Riley, SN Mattson and the CIFASD. Profile and time course of behaviour in South African children with FASD in a school setting.

21

22 Plans Further data collection including follow up
Further analysis, including integrating multi-source variables Later analysis of longitudinal data


Download ppt "Colleen M. Adnams CIFASD Winter meeting DC 2 February 2011"

Similar presentations


Ads by Google