Evidence map›Paper›PMID 39036496›Full record

ArticleFrontiers in nutrition2024

Sex differences in the association between Body Mass Index and cognitive function in Parkinson disease: a cross-sectional study.

QiuShuang Wang, Jing Bian, Yi Sun, YaoZhou Shi, ZiXuan Zhao, HuaShuo Zhao

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

QiuShuang Wang *Department of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Jing Bian *The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yi SunDepartment of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.
YaoZhou ShiThe Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, China.
ZiXuan ZhaoDepartment of Public Administration, School of Health Economics and Management, Nanjing University of Chinese Medicine, Nanjing, China.
HuaShuo ZhaoDepartment of Biostatistics, School of Public Health, Xuzhou Medical University, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study utilized a binary logistic regression model to explore the relationship between Body Mass Index (BMI) and cognitive function in Parkinson's disease (PD) patients. Methods: In this cross-sectional study, data were obtained from 1,005 Parkinson's patients enrolled in the Parkinson's Progression Markers Initiative (PPMI) from 2010 to 2023, including 378 females and 627 males. Cognitive function was assessed using the Montreal Cognitive Assessment (MoCA) scale, and the correlation between BMI and cognitive function was determined using binary logistic regression. Results: The median age of enrollment was 63.6 (56.2, 69.6) years old, including 378 (37.6%) females and 627 (62.4%) males. In the final adjusted model, a significant positive correlation was found between BMI and the prevalence of cognitive impairment in females (OR = 1.06, 95% CI = 1.01 ~ 1.12, Conclusion: In female Parkinson's patients, there is a positive correlation between BMI and cognitive impairment, while no correlation was found in male patients. This study provides new evidence of sex differences in the correlation between BMI and cognitive impairment among Parkinson's patients. The role of sex differences in the relationship between BMI and cognitive impairment should be considered in future research.

Indexed as

Body Mass Indexcognitive functionlogistic regressionParkinson’s diseasesex differences

Identifiers

PMID39036496
PMCPMC11258038

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.