The purpose of this paper is to examine gender-specific models to determine whether different combinations of correlates are associated with male and female disablement, using a sample of noninstitutionalized elderly persons in Egypt. Because women and men have different work, family, and household roles, as well as different health risks, it is reasonable to assume that there may be differing correlates for disablement for elderly males and females. The dichotomous dependent variable indicates problems, or the inability, in performing at least one of six activities of daily living (ADL). Of interest is the association of health, economic, and family variables, controlling for age. Logistic regression models are estimated for the total, male, and female samples. The results indicate that for males, having to stop working due to illness and having an unattended medical need are associated with higher odds for disablement as compared with females. Additionally, illiteracy increases the odds for male disablement, yet it has no effect on female disablement. Having experienced an injury in the past year is associated with disability for females, as is spending a lifetime in a rural setting and currently living in a fair to poor residence. Also for the females, increased number of living children significantly increases the odds for functional disability. Separate male and female models were estimated for each of the six ADL items. The trends indicated that the model covariates were more useful in modeling female disabilities in personal care activities, rather than problems with eating and mobility. The health variables were significantly associated with most of the specific ADL problems for the males.