This analysis accompanied a roundup which can be viewed here.
Physically demanding work, fetal growth and the risk of adverse birth outcomes. The Generation R Study, 27 June 2012, Occup Environ Med
The paper should not be used to conclude that standing for long periods during pregnancy may curb fetal growth.
The paper concludes that “physically demanding work during pregnancy was associated with lower fetal growth rates”. The study also found that “these finding were not reflected in adverse birth outcomes”.
Head circumference: Working between 25 and 39 hours did show statistically significant difference in growth rates of head circumference, but working greater than 40 hours was not significantly different from working 1-24 hours. Long periods of standing occasionally and often showed statistically different growth rates in head circumference compared to no long periods of standing; however, there appeared to be no difference between long periods of standing occasionally and standing often. This is contrary to what we might reasonably expect if there were a causal link.
Fetal weight: Working 25-39h and >40h per week showed statistically different growth rates in fetal weight. The clinical relevance of the difference is unclear. Long periods of standing did not show statistically significant differences in fetal weight.
Abdominal circumference: No associations between long periods of standing and working hours were observed for abdominal circumference.
Authors also looked at physical workload as measured by heavy lifting and no associations were found for fetal weight, head circumference or abdominal circumference.
Overall, authors do not state what the significance of lower fetal growth rates during pregnancy are, given that they were not associated with adverse birth outcomes.
Large prospective study, suitably designed
Most potential confounders (e.g. gestational age, maternal age, mother’s height/weight, educational level, ethnicity, smoking/alcohol etc) were accounted for. Study did acknowledge some that were not considered because they were not available (stress, fatigue, physical activity outside employment).
Conducting many statistical tests (72 in Table 3 alone) will always produce some false positive results in a study like this. It is always dangerous to produce a high number of data points and then focus on the ones that appear to show a correlation.
No consistent pattern can be seen across the data points, and this further weakens the hypothesis of an overall link.
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