Objective: This article examines the influence of sociodemographic, biological, and health variables on Mini-Mental State Exam (MMSE) performance, and assesses how the diversity of the population should be reflected in the MMSE cutoff scores used for screening.
Methods: The sociodemographic profiles and MMSE scores of adults aged 65-years and over who participated in the Australian National Mental Health and Well-being Survey were assessed (N = 1,792).
Results: The regression models showed that older age, education levels, language spoken at home and in country of birth, socioeconomic status (SES), occupation, sex, and presence of a mood disorder made significant and unique contributions to performance on the MMSE. The individual (univariate) influence of each factor ranged from -2.61 to 0.09 points, with non-English speaking background (NESB) making the biggest impact. Based on a MMSE score of < or =23 points, 7.7% of the Australian elderly population screened positive for cognitive impairment that may be indicative of dementia. In those scoring < or =23 points, the multivariate model accounted for 24.61% of the variance.
Conclusion: Many sociodemographic variables and the presence of a mood disorder influence MMSE performance. Using conventional cutoff scores for screening will lead to a high rate of false positives in older adults (75+ years), those with NESB, and those with low SES, and is insensitive for those with high education. The authors suggest simple rules for the correction of the impact of these variables.