What is the odds ratio for the effect of exposure to poverty on the outcome of f

Question

What is the odds ratio for the effect of exposure to poverty on the outcome of fair-poor health?

What is the relative risk of exposure to poverty on the outcome of fair-to-poor health?

State what the relative risk index means.

Cases Missing Total Percent N Percent N Percent poverty status Health status, self-reported 860 86.0% L40 14.0% 1000 100.0% Poverty status Health status, self-reported Icount row column total Health status, self-reported Poverty status Fair or poor health l Good to excellent health Total 438.00 639.00 201.00 Below poverty 68.54% 100.00% 31.46% 74.30% 50.93% 74,30% 79.13% 23.37% 168.00 221.00 53,00 Above poverty 76.02% 100.00% 23,98% 27.72% 25.70 20.87% 19,53% 25.70% 6 16% 606.00 860.00 254.00 Total 70.47% 100.00% 29.53% 100.00% 100.00% 100.00% 29,53% 70.47% 100.00% Risk estimate 95% Confidence Interval Value Lower Statistic Odds Ratio for Health status self-reported (07 145 1.01 i 70 31 For cohort Poverty status 82 For cohort Poverty status 2 N of Valid cases 860

Explanation / Answer

An odds ratio is a relative measure of effect which compares the intervention group of a study relative to the comparison or placebo group. so here the value of the odds ratio is 1.45 .

Also note that ,

If the Odds Ratio is > 1 the control is better than the intervention.

If the Odds Ratio is < 1 the intervention is better than the control , consider the last table

here the value is 1.45 , so we can say that there is a higher odds of poor health happening with exposure to poverty. There is a 45% more chance of poor helath with exposure to poverty.

relative risk oe relative risk index : is the probability of an event occuring in the exposed group to the probability of the event occuring in the non exposed/control group

here for cohort 1 the value is 1.31

and for cohort 2 the value is 0.9

so the relative risk is

1.31/0.9

= 1.45

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