No. That’s not what age and sex adjustments are for, they are standard adjustments when you wish to compare two populations that have significantly different sex and age demographic profiles. You have to compare like with like.
For example, immigrant populations can be 75% male while the host population is 50% female. If you don’t adjust for sex, then it looks like immigrants are more likely to commit rapes than the host population. When really, the data just looks that way because they have a higher % of men, and men account for all rapes (or virtually all in countries outside the UK where rape is defined differently such that women can be rapists). Adjusting for sex will account for some of the difference in raw data.
In addition, most sex offenders are aged 16-40. Immigrant populations have a much higher % of young workers than the host population, so again that raw data may look like immigrants are more likely to rape but if you adjust for the age of the two populations, some difference in the raw data will be erased.
These are the two basic minimum confounding factors that have to be adjusted for. A good analysis with adjust for many more.