Abstract
INTRODUCTION: With rising age, the incidence of physical and mental problems increases. Physiological and social changes occur across the lifespan that can affect an individual's health and ability. The present study was aimed to determine older adult's ability to recognize cognitive changes and its relation with mental health status. MATERIALS AND METHODS: A descriptive correlational design was used to recruit 423 older adults who were referred to health centers in Tabriz, Iran in 2019 to receive primary health care. A systematic random sampling method was used for selecting participants. Data collection tools included a demographic-social questionnaire, General Health Questionnaire for assessing mental health (with 4 subscales) and a questionnaire of ability to recognize cognitive changes (with 8 sub-scales). Data were analyzed using descriptive statistics and inferential statistics. RESULTS: The mean score of mental health of the older adults was 56.35 (8.40) which shows moderately impaired mental health. The most impaired aspect of mental health detected was the social function dimension 13.20 (2.67). The average of the total ability score was 41.19 (4.78) and the physical strength dimension had the highest average of 9.08 (1.80) and the empowerment obligation dimension had the lowest average of 3.06 (1.08). There was significant relationship between dimensions of depression (r = 0.21, p < 0.001), anxiety (r = 0.1, p = 0.04) and social functioning (r = 0.17), p < 0.001) with the ability to recognize cognitive changes of the older adults. CONCLUSION: Negative mood states and social functioning were associated with the ability to recognize cognitive changes in this population of older adults. This sample exhibited moderately impaired mental health status and relatively large burdens of untreated affective symptoms. Although causality cannot be determined with this cross-sectional design, use of social programs to keep older adults mentally active, as well as cognitive rehabilitation programs could be tested with longitudinal designs for their impact on cognitive change recognition.