You could use OLS regression with a robust covariance matrix. See the following article, for example.
Cheung, Y. B. (2007). A modified least-squares regression approach to the estimation of risk difference. American journal of epidemiology, 166(11), 1337-1344.
Nope you used the wrong formula. See the link : https://www.google.com/search?biw=1600&bih=795&ei=m8etXsifLoO0tAb524TYCQ&q=how+to+do+logistic+regression+in+Spss+examples%3A&oq=how+to+do+logistic+regression+in+Spss+examples%3A&gs_lcp=CgZwc3ktYWIQDDIFCCEQoAE6BAgAEEc6BggAEA0QHjoFCAAQkQI6AggAOgUIABCDAToOCAAQ6gIQtAIQmgEQ5QJQ9oA4WILIOGC2wDpoAXACeACAAecBiAGGGpIBBjMzLjIuMZgBAKABAaABAqoBB2d3cy13aXqwAQY&sclient=psy-ab&ved=0ahUKEwiI2aHY8pXpAhUDGs0KHfktAZsQ4dUDCAw
The adjusted risk is the Odds ratio value from the regression coefficient. You should have shown your data. Best, David Booth to calculate it see the second link below See: https://www.google.com/search?biw=1600&bih=795&ei=W8utXoitFYy5tAaKiKPQCw&q=adjusted+risk+ratio&oq=adjusted+risk+ratio&gs_lcp=CgZwc3ktYWIQAzICCAAyAggAMgIIADICCAAyAggAMgYIABAWEB4yBggAEBYQHjIGCAAQFhAeMgYIABAWEB4yBggAEBYQHjoECAAQRzoFCAAQzQI6DggAEOoCELQCEJoBEOUCOgUIABCRAjoFCAAQgwE6BAgAEEM6BAgAEA1Qk58tWK_xLmCqjC9oAXACeAOAAcoBiAG-IZIBBjQzLjUuMZgBAKABAaoBB2d3cy13aXqwAQY&sclient=psy-ab&ved=0ahUKEwjIxuqh9pXpAhWMHM0KHQrECLoQ4dUDCAw&uact=5