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Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study
Mina T, Yew YW, Ng HK, Sadhu N, Wansaicheong G, Dalan R, Low DYW, Lam BCC et al.. The Lancet regional health. Western Pacific, 2023-02-14
Topic: Brain imaging, connectivity and assessment
In univariate analysis, all 29 adiposity and metabolic measures assessed were associated with ' g ' at P < 0.05. In multivariable analyses, reduced ' g ' was consistently associated with increased visceral fat mass index and lower HDL cholesterol (P < 0.001), but not with blood pressure, triglycerides, or glycemic indices. The reduction in ' g ' associated with 1SD higher visceral fat, or 1SD lower HDL cholesterol, was equivalent to a 0.7 and 0.9-year increase in chronological age respectively (P < 0.001). Inverse variance MR analyses showed that reduced ' g ' is associated with genetically determined elevation of VAT, BMI and WHR (all P < 0.001). MR analyses suggest that both visceral adiposity and raised BMI are likely to be causally linked to cognition. Our findings have important implications for preservation of cognitive health, including further motivation for action to reverse the rising burden of obesity in the Asia-Pacific region.
Key findings
- In univariate analysis, all 29 adiposity and metabolic measures assessed were associated with ' g ' at P < 0.05.
- In multivariable analyses, reduced ' g ' was consistently associated with increased visceral fat mass index and lower HDL cholesterol (P < 0.001), but not with blood pressure, triglycerides, or glycemic indices.
- The reduction in ' g ' associated with 1SD higher visceral fat, or 1SD lower HDL cholesterol, was equivalent to a 0.7 and 0.9-year increase in chronological age respectively (P < 0.001).
- Inverse variance MR analyses showed that reduced ' g ' is associated with genetically determined elevation of VAT, BMI and WHR (all P < 0.001).
- MR analyses suggest that both visceral adiposity and raised BMI are likely to be causally linked to cognition.
Study details
- Participants8,769
- Effect size58.9%
- Evidence strengthModerate
How this study scored 60/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 35 of the 58 points we could judge it on, which is 60 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (The Lancet regional health. Western Pacific) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| 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 | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 3 / 4 | 8,769 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) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 36851942) |
| Free to read | 2 / 2 | Free to read |
| Points | 35 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 35 of the 58 points we could judge it on is 60 out of 100. |
| Total | 60 / 100 | — |
What each of these 20 components measures, and what this score is not →
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APA 7th
Mina, T., Yew, Y. W., Ng, H. K., Sadhu, N., Wansaicheong, G., Dalan, R., et al. (2023). Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study. The Lancet regional health. Western Pacific. https://doi.org/10.1016/j.lanwpc.2023.100710
Vancouver
Mina T, Yew YW, Ng HK, Sadhu N, Wansaicheong G, Dalan R, et al. Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study. The Lancet regional health. Western Pacific. 2023. doi:10.1016/j.lanwpc.2023.100710. PMID: 36851942.
BibTeX
@article{mina2023-36851942,
author = {Mina, T. and Yew, Y. W. and Ng, H. K. and Sadhu, N. and Wansaicheong, G. and Dalan, R. and Low, D. Y. W. and Lam, B. C. C. and others},
title = {{Adiposity impacts cognitive function in Asian populations: an epidemiological and Mendelian Randomization study}},
journal = {The Lancet regional health. Western Pacific},
year = {2023},
doi = {10.1016/j.lanwpc.2023.100710},
pmid = {36851942},
url = {https://doi.org/10.1016/j.lanwpc.2023.100710}
}