2. Levels of intervention
◦ Tertiary: Aimed at reducing the chronic effects of
established disease.
◦ Secondary: Aimed at curing disease.
◦ Primary: Preventing disease.
3. (insert pie chart) which includes:
◦ Peri disease factors
◦ Young adult factors
◦ Childhood factors
◦ Genetic factors
4. Ecologic
◦ High cardiovascular death rates in 1950 correlated with
high infant mortality in the early 1900’s.
In an area of high infant mortality, “survivors” were still
comparatively stressed.
Retrospective cohorts
◦ Nurses Health study, etc.
◦ Common feature- BW used as a surrogate for adequacy
of the intrauterine environment
5. Heart attack
Stroke
Hypertension
Diabetes
Obesity, syndrome X
Breast cancer
Osteoporosis
6. Does size matter?
◦ 2500 g BW 16g heart
◦ 3000 g 22 g heart
(37.5% more heart)
15. Normal- 500 g
Abnormal 1st-2nd trimester, 500 g
Abnormal from 1st-2nd trimester, 250 g
Abnormal 3rd trimester, 400 g
16. Linear terms
◦ Higher order terms
◦ Interactions
Local solutions (MARS 2.0)
17. Indirect/Direct effects on BW
Indirect/Direct effects on PW
(insert image)
18. Pick 10 different random seeds
Get at least 9 different patterns of significant
higher order terms and/or interactions
Inspection of distributions suggests
differences lie with outlier partitioning
“significant” terms generally negative,
indicating floor/ceiling effects
21. (insert graph)
No evidence for placental “senescence”
“Post maturity syndrome”
“Fetal intolerance to labor”
22. Fetal-placental weight ratio
◦ How many grams of baby supported by each gram of
placental
◦ ~7:1 at term
◦ Too low placental dysfunction
◦ Too high↓ placental reserves
Ponderal index
◦ Fatness ratio (weight*100/length^3)
◦ Third trimester weight gain
23. Fetoplacental weight ratio
(insert graphs)
31. Recode BW into groups
◦ <2500 g: “Intrauterine growth restriction”
Suggests chronic intrauterine deprivation
◦ >4000 g: Macrosomia
Diabetic type metabolic pathology
◦ “Normal”
Can placental growth classify pathologic fetal
growth that continues into childhood?
32. Set penalties for misclassification
Score data
Incorrectly scored children are either bigger
or smaller than expected given their placental
dimensions
◦ They don’t “fit” their placentas
Does “lack of fit” mark children’s growth
trajectory?
33. Class N Cases N % Error Cost
Mis-Classed
0 2,023 175 8.65 175
1 17,946 17,946 100.00 179,460
2 1,093 61 5.58 61
37. The placenta’s purpose is to “make a baby”
Values of placental dimensions where the
placenta is bigger but the baby is not
“unbalanced”
“Unbalanced” babies may be physiologically
vulnerable and may have different childhood
growth trajectories
38. Your placenta provides all oxygen and
nutrients and genetics aside is the principal
determiner of fetal growth
If you are bigger or smaller than your
placenta predicts, you don’t “fit”
Children who don’t “fit” may be
physiologically vulnerable and have different
childhood development trajectories
39. MARS and RandomForest allow
complementary and unique insights into how
placental growth is translated into fetal
growth
Placental measures can be used to
characterize the fetal environment, with
physiologic and time-order inferences that
may be important to “fetal origins” research