Supplementary file 1_Identification of the central symptoms of neuropsychiatric symptoms a

A cross-sectional study in China from September 2025 to January 2026 recruited 559 older adults with mild cognitive impairment. Neuropsychiatric symptoms were evaluated using the Neuropsychiatric Inventory Questionnaire, and network analysis identified central symptoms. The dataset was authored by Kexin Huang and published on figshare in April 2026.

Use Cases

• Identify central neuropsychiatric symptoms based on network centrality indices like strength and expected influence.
• Analyze symptom prevalence and co-occurrence patterns among older adults with mild cognitive impairment.
• Prioritize assessment and intervention targets for neuropsychiatric symptom management based on network analysis results.

Strengths

• Includes data from 559 participants with a median age of 70.0 years.
• 68.9% of participants were identified as having at least one neuropsychiatric symptom.
• Centrality analysis identified specific central symptoms: disinhibition, irritability/lability, and agitation/aggression.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to the single-country (China) study.

Provenance

Source

figshare

Collection Method

Cross-sectional study using the Neuropsychiatric Inventory Questionnaire (NPI-Q).

Time Range

September 2025 to January 2026

Freshness

Last updated 2026-04-29 05:52:55; freshness should be verified.

Geography

China