The phrase "adjustment by age" is correct and usable in written English.
It can be used in contexts where modifications or changes are made based on a person's age, such as in policies, statistics, or studies.
Example: "The study showed that there was a significant adjustment by age in the participants' responses to the survey."
Alternatives: "age-based adjustment" or "age-related modification".
The negative binomial regression model for all the emergency contacts analysed and after adjustment by age, sex and emergency specialty revealed an adjusted rate ratio (RR) for foreign-born versus Spanish-born residents of 0.62 (95% CI: 0.52; 0.74%).
Using the visit corrected HCC, poverty, and the population health indices for adjusting for illness resulted in estimated spending that was similar to adjustment by age, sex, race, and price adjustment alone: spending in the highest visit fifth was 33%to35%5% greater than in the lowest fifth.
However, adjustment by age and individual ancestry removed the significance of the associations.
Furthermore, adjustment by age, by cytology or both has been included among HPV prevalence estimates.
Adjustment by age, occupation and number of unfavourable work factors attenuated the RR.
Adjustment by age and sex did not change these results (data not shown).
However, age and years in residence were interrelated and the effect modification by years in residence did not remain (p = 0.29) when adjustment for effect modification by age was included in the same model.
There was association between maternal asthma and increased risk of wheezing between 7 and 12 months, maintained after adjustment by maternal age and child gender [aOR 3.87 (95%CI 1.24-12.1), p = 0.02].
In part, this phenomenon may be due to the adjustment by gestational age, since a significant excess of deliveries at 41 and 42 weeks was observed in the "low CSR" group (RR: 1.09; 95% CI [1.07; 1.12]).
Maternal asthma was the only prenatal factor associated with wheezing at 24 months [aOR 3.65 (95%CI 1.23-10.8) p = 0.01], after adjustment by maternal age, number of siblings and child birth weight and gender.
These two factors remained significant after adjustment for confounding by age and sex in the multivariable analysis model.
