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Updated: Jun 24, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Lifestyle interventions for dementia prevention in low- and middle-income countries: a systematic review
Rosario Isabel Espinoza Jeraldo1,2, Sedigheh Zabihi3,4, Claudia Miranda-Castillo5,6
1Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University of London, London, UK r.i.espinozajeraldo@qmul.ac.uk.
Introduction:
By 2050, two-thirds of people with dementia will live in low-and-middle-income countries (LMICs). However, multimodal prevention lifestyle interventions for people at risk are being developed predominantly in higher-income countries.
Methods:
We systematically reviewed randomised controlled trials (RCTs) evaluating non-pharmacological interventions in individuals with mild cognitive impairment and subjective cognitive decline in LMICs. We assessed quality using the Mixed Methods Assessment Tool, meta-analysed and synthesised evidence.
Results:
We included 25 RCTs from six countries (most in China, n=17), involving 1304 participants. In the 15 studies with sufficient data to meta-analyse, we found significant positive effects on cognition favouring interventions (1.49 (standardised mean difference, 95% CI 1.06 to 1.93)). There was significant publication bias. We classified interventions into exercise, multidomain and arts/creative expression. Exercise (1.67, 95% CI 1.24 to 2.11, n=8) and multidomain (1.22, 95% CI 0.22 to 2.21, n=5) had replicated evidence of effectiveness. There was insufficient data to meta-analyse the arts/creative category.
Conclusion:
We propose greater consideration and investment in the development of interventions accounting for specific LMIC contexts from the outset, so they are acceptable and used by local services.
Prospero Registration Number:
CRD42023403908.
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