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Those with menstrual periods lasting five days or more had a 2.3 fold increase in probability of reporting heavy menses.
There was no measurable difference between the intervention and comparison groups in the estimated change in probability of reporting illness with diarrhea, fever and/or ARI (DID = −0.050), nor for reporting diarrhea and/or fever only (DID = −0.028) (Table 4).
After adjusting for age and education, obese women had a 29% increase in probability of reporting heavy bleeding (PR 1.29; 95% CI 1.04-1.59) when taking women with BMI ≤ 24.9 as the comparison group.
With regard to the number of pregnancies, after allowing for age, education and BMI, women with ≥ 4 pregnancies presented an almost 60% increase in probability of reporting a heavy menstrual loss in comparison to never pregnant women (PR 1.58; CI95% 1.02-2.43).
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The probabilities of each symptom for the reference case (women, aged 30 39) over the 14 time categories are illustrated in Figure 3. Declines in the probability of reporting physical symptoms in the past week were significant (p-value ≤0.05) and large for all four symptoms investigated (fatigue, pain, nausea, skin problems).
In our benchmark estimations, one additional year of schooling resulted in an eight percentage point increase in the probability of having ever used a computer and in a 12 percentage point increase in the probability of reporting to have at least good computer skills.
It should be noted that a recent study published using the same data found that there were no measurable difference in estimated probability of reporting illness with diarrhea, fever or acute respiratory infections between the intervention and comparison groups [28].
The post-retirement onset of a major medical condition, and, for married women, the loss of their spouse, are both associated with small increases in the probability of reporting very low wealth, but they account for a small fraction of low-wealth outcomes.
There was no measurable difference in estimated probability of reporting illness with diarrhea, fever or acute respiratory infections between the intervention and comparison groups.
However, when a single flash is accompanied by two beeps, there is a large increase in the probability of reporting multiple flashes, reflecting the SIFI (Fig. 1a).
The ICC represents the percentage of the total variance in the probability of reporting CSA that is related to the area level, i.e. measure of clustering of odds of reporting CSA in the areas.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com