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Prevalence, distribution, and impact of mild cognitive impairment in Latin America, China, and India: a 10/66 population-based study
Sosa AL, Albanese E, Stephan BC, Dewey M, Acosta D, Ferri CP, Guerra M, Huang Y et al.. PLoS medicine, 2012-02-07
Topic: Risk, prevention and care in population studies
Background Rapid demographic ageing is a growing public health issue in many low- and middle-income countries (LAMICs). Mild cognitive impairment (MCI) is a construct frequently used to define groups of people who may be at risk of developing dementia, crucial for targeting preventative interventions. However, little is known about the prevalence or impact of MCI in LAMIC settings. Methods and findings Data were analysed from cross-sectional surveys established by the 10/66 Dementia Research Group and carried out in Cuba, Dominican Republic, Peru, Mexico, Venezuela, Puerto Rico, China, and India on 15,376 individuals aged 65+ without dementia. Standardised assessments of mental and physical health, and cognitive function were carried out including informant interviews. An algorithm was developed to define Mayo Clinic amnestic MCI (aMCI). Disability (12-item World Health Organization disability assessment schedule [WHODAS]) and informant-reported neuropsychiatric symptoms (neuropsychiatric inventory [NPI-Q]) were measured. After adjustment, aMCI was associated with disability, anxiety, apathy, and irritability (but not depression); between-country heterogeneity in these associations was only significant for disability. The crude prevalence of aMCI ranged from 0.8% in China to 4.3% in India. Country differences changed little (range 0.6%-4.6%) after standardization for age, gender, and education level. In pooled estimates, aMCI was modestly associated with male gender and fewer assets but was not associated with age or education. There was no significant between-country variation in these demographic associations. Conclusions An algorithm-derived diagnosis of aMCI showed few sociodemographic associations but was consistently associated with higher disability and neuropsychiatric symptoms in addition to showing substantial variation in prevalence across LAMIC populations. Longitudinal data are needed to confirm findings-in particular, to investigate the predictive validity of aMCI in these settings and risk/protective factors for progression to dementia; however, the large number affected has important implications in these rapidly ageing settings.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Sosa, A. L., Albanese, E., Stephan, B. C., Dewey, M., Acosta, D., Ferri, C. P., et al. (2012). Prevalence, distribution, and impact of mild cognitive impairment in Latin America, China, and India: a 10/66 population-based study. PLoS medicine. https://doi.org/10.1371/journal.pmed.1001170
Vancouver
Sosa AL, Albanese E, Stephan BC, Dewey M, Acosta D, Ferri CP, et al. Prevalence, distribution, and impact of mild cognitive impairment in Latin America, China, and India: a 10/66 population-based study. PLoS medicine. 2012. doi:10.1371/journal.pmed.1001170. PMID: 22346736.
BibTeX
@article{sosa2012-22346736,
author = {Sosa, A. L. and Albanese, E. and Stephan, B. C. and Dewey, M. and Acosta, D. and Ferri, C. P. and Guerra, M. and Huang, Y. and others},
title = {{Prevalence, distribution, and impact of mild cognitive impairment in Latin America, China, and India: a 10/66 population-based study}},
journal = {PLoS medicine},
year = {2012},
doi = {10.1371/journal.pmed.1001170},
pmid = {22346736},
url = {https://doi.org/10.1371/journal.pmed.1001170}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- After adjustment, aMCI was associated with disability, anxiety, apathy, and irritability (but not depression); between-country heterogeneity in these associations was only significant for disability.
- In pooled estimates, aMCI was modestly associated with male gender and fewer assets but was not associated with age or education.
- There was no significant between-country variation in these demographic associations.
- Conclusions An algorithm-derived diagnosis of aMCI showed few sociodemographic associations but was consistently associated with higher disability and neuropsychiatric symptoms in addition to showing substantial variation in prevalence across LAMIC populations.
Why it matters
Across surveys of 15,376 dementia-free adults aged 65+ in Cuba, the Dominican Republic, Peru, Mexico, Venezuela, Puerto Rico, China and India, an algorithm-defined amnestic MCI was linked to more disability, anxiety, apathy and irritability (but not depression). Its prevalence ranged from 0.8% in China to 4.3% in India, and this gap barely changed (0.6%–4.6%) after accounting for age, gender and education. The surveys were taken at a single point in time, so they show associations, not causes, and the study tested no treatment.
Study details
- Study designcross-sectional
- Participants15,376
- Effect size0.8%; 4.3%; 0.6%
- Evidence strengthModerate
How this study scored 66/100
Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for randomized / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (PLoS medicine) |
| Journal's citation record | 3 / 4 | PLoS Medicine: journal h-index 350 (OpenAlex, 2026-10-29) |
| Study design | 4 / 12 | A snapshot of people at one point in time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 1 / 5 | 2012 — within 20 year(s) of the newest study here |
| Sample size | 4 / 4 | 15,376 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 202 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 12.6 citations a year over 16 year(s) since 2012 |
| Impact for its field and year | 4 / 6 | Cited 9.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 9 other studies in this library |
| Still being cited | 2 / 4 | Cited 31 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Robert Stewart: h-index 95 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | National Institutes of Health: institution h-index 2,723 (OpenAlex) |
| Multicenter collaboration | 3 / 3 | OpenAlex lists 16 institution(s) in 9 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 22346736) |
| Free to read | 2 / 2 | Free to read |
| Total | 66 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1371/journal.pmed.1001170
- PubMed: 22346736
- Original source →
- Free full text: PLoS Medicine →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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