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Original Research

Prevalence and correlates of cognitive impairment and depression among elderly people in the world’s fastest growing city, Chongqing, People’s Republic of China

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Pages 1091-1098 | Published online: 12 Aug 2016
 

Abstract

Background

Cognitive impairment and depression are major mental health problems affecting older people. The current study was designed to explore the prevalence of cognitive impairment and depression in representative sample of elderly people aged ≥60 years and to examine the correlates of cognitive impairment and depression with other sociodemographic variables.

Methods

A cross-sectional study based on comprehensive geriatric assessment of 538 elderly Chinese people was conducted from September 2011 to August 2012. Cognitive impairment was assessed using the Chinese version of Mini-Mental State Examination, and depressive symptoms were assessed by 30-item geriatric depression scale.

Results

The prevalence of cognitive impairment was 12.6%. Multiple logistic regression analysis revealed that the following were significant independent predictors of cognitive impairment: female, having a low level of education, increasing age, and depression. The overall prevalence of depression was 24.3%, and in adjusted model, cognitive impairment was only associated with increased risk of depression.

Conclusion

Cognitive impairment and depression are prevalent in elderly Chinese people. Among a number of factors identified in our study, cognitive impairment and depression were highly correlated in elderly people aged ≥60 years.

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Acknowledgments

This study was supported by grants from National Key Clinical Specialties Construction Program of China (no [2013]544), Application Program of Chongqing Science & Technology Commission (cstc2014yykfA110002), Sub-project under Science and Technology Program for Public Wellbeing of Chongqing Science & Technology Commission (cstc2015jcsf10001-01-01), and Sub-project of National Science and Technology Supporting Program of the Ministry of Science and Technology of China (2015BAI06B04).

Disclosure

The authors report no conflicts of interest in this work.