prevalence rate and 95%CI for BMI across age groups and gender

[maragdalis]

Hi Apologies this is my first post to this group.

I wish to calculate the prevalence rate and 95% confidence intervals for people by BMI category and age group by sex to produce the table below. Could you advise? Thanks for your help!

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| Sex |   age group                       |  underweight | healthy            | overweight      | obese               |  Total 

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| M    | 20-<30years                   | Prev (95%CI) | Prev (95%CI)  |Prev (95%CI)  |Prev (95%CI)  |Prev (95%CI)  |   etc

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PROC FORMAT;
VALUE agefmt
20-<30 = '20-<30 years'
30-<40 = '30-<40 years'
40-<50 = '40-<50 years'
;
value bmifmt
9-<18.5 = 'Underweight (9-<18.5)'
18.5-<25 = 'Healthy (18.5-<25)'
25-<30 = 'Overweight (25-<30)'
30-51 = 'Obese (30+)';
VALUE sexfmt
0 = 'Female'
1 = 'Male'
;
RUN;

DATA have;
INPUT age bmi sex @@;
DATALINES;
20 18.5 1 25 23.5 1 26 24.5 1 20 15.5 1 20 16.2 1 21 18.0 1 20 30.2 1 21 26.5 1 22 29.0 1 22 29.5 1
20 22.5 0 21 23.5 0 20 24.5 0 23 25.5 0 23 25.2 0 25 19.0 0 26 38.2 0 23 36.5 0 24 29.0 0 25 16.5 0
30 22.5 0 31 23.5 0 30 24.5 0 33 25.5 0 33 25.2 0 35 19.0 0 36 38.2 0 33 36.5 0 34 29.0 0 35 16.5 0
30 18.5 1 35 20.5 1 36 24.5 1 30 15.5 1 30 16.2 1 31 18.0 1 30 30.2 1 31 26.1 1 32 29.1 1 32 29.5 1
40 22.5 0 40 23.5 0 40 24.5 0 42 25.5 0 42 20.2 0 45 39.0 0 46 38.2 0 43 36.5 0 44 29.0 0 45 30.5 0
40 12.5 1 41 28.5 1 40 24.5 1 43 25.5 1 43 25.2 1 45 19.0 1 46 38.2 1 43 36.5 1 44 29.0 1 45 16.5 1
;

DATA want;
SET have;
FORMAT age agefmt.;
FORMAT bmi bmifmt. ;
FORMAT sex sexfmt.;

RUN;