The definition and use of solution-linked sex/gender variables for the description of a study population as well as for multivariable data analysis aim to show sex/gender-related health inequalities. The concept focuses on underlying mechanisms that can be changed, instead of using only a binary sex/gender variable.

By referring to a sound theoretical concept of sex/gender, key sex/gender-related dimensions can be captured analytically. By using solution-linked sex/gender variables in data analysis, underlying mechanisms for sex/gender-related health inequalities can be described and starting points for the development of interventions to reduce these inequalities can be identified.

Sex/gender is not only considered as a static characteristic. Rather, mechanisms underlying the identified sex/gender differences are increasingly examined. This approach can prevent groups or individuals from being reduced to a single characteristic.

The integration of modifiable or solution-linked sex/gender variables into health monitoring and further into health reporting has the potential to strengthen the empirical basis for the development as well as the evaluation of sex/gender-responsive interventions.

Variables that can capture the multidimensionality of sex/gender are still rarely collected in population-based studies. A far-reaching integration of solution-linked sex/gender variables into multivariable analysis may fail due to the limited availability of data.