This is a "correlation vs. causation" problem. The stated facts describe a statistical
CORRELATION or
CORRESPONDENCE (home births correlate with lower risk of birth complications; hospital births correlate with higher risk)—but then the passage goes on to conclude that there's a CAUSAL mechanism (the hospital environment CAUSES the additional complications because it's less safe; the home birthing environment CAUSES fewer complications because it's safer).
Correlation/causality is one of *vanishingly* few CR problem types on which the solutions follow a reasonably compact "formula" / "template":
If x thing CORRELATES with y thing, then there are 3 (or 4) possibilities:
• x causes y
• y causes x
• some other thing causes both x and y
(ONLY IF X AND Y ARE SINGLE DATA POINTS)
• there's no causal relationship at all, and the co-occurrence is merely a random coincidenceTo
STRENGTHEN one of these possibilities as a conclusion,
rule out / disprove any others that may be plausible. (One or more of these possibilities may be ridiculous/unreasonable/implausible, just by basic common-sense considerations like time order.)
To
WEAKEN one of these possibilities as a conclusion, present evidence
FOR one of the other ones.
.
In this case, the argument takes the correlation to mean that the birthing environment (x thing) CAUSES the differential risk level (y thing).
This conclusion is weakened if Women with different underlying obstetric risk levels (y thing) CHOOSE a birthing environment that's appropriate to those levels (...causes x thing), as in choice A.
.
WRONG ANSWERS:
B is irrelevant because it doesn't differentiate Mothers by risk level. (If choice B had said that obstetricians warn Women with
high-risk pregnancies against giving birth at home, then it would be another way of expressing "y causes x" and therefore would be a correct answer.)
C essentially just repeats the given correlation, since "fewer complications" goes hand-in-hand with "less stress". This choice doesn't provide any additional insight into
which method of causation is at work here, so it's irrelevant.
D is irrelevant because length of labor is not analyzed in the study at hand (only the frequency of actual complications is).
The Women's job fields are not included in the study data, so E is irrelevant as well.