Evidence map›Paper›PMID 41798798›Full record

ArticleFrontiers in neurology

Public health implications of lifestyle and sociocultural determinants of stroke risk and serum biochemical markers among older adults in northern Thailand.

Pattaranai Chaiprom, Chatsuda Mata, Patana Nakatong, Benjawan Wongruen, Mayura Chaichumpoo, Pornanan Boonkorn

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In one paragraph

Article in Frontiers in neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pattaranai ChaipromDepartment of Community Public Health, Faculty of Science, Lampang Rajabhat University, Lampang, Thailand.
Chatsuda MataDepartment of Community Public Health, Faculty of Science, Lampang Rajabhat University, Lampang, Thailand.
Patana NakatongFaculty of Nursing, Lampang Rajabhat University, Lampang, Thailand.
Benjawan WongruenBan Nakot Subdistrict Health Promoting Hospital, Lampang Provincial Administrative Organization, Lampang, Thailand.
Mayura ChaichumpooBan Auan Subdistrict Health Promoting Hospital, Lampang Provincial Administrative Organization, Lampang, Thailand.
Pornanan BoonkornDepartment of Biology, Faculty of Science, Lampang Rajabhat University, Lampang, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Thailand is entering a fully aging society. The northern region has a unique socio-cultural landscape that may influence the risk of stroke. However, evidence on the interplay between lifestyle and socio-cultural factors and serum biomarkers in Thai elderly remains limited. The study aimed to investigate the correlation between socio-demographic, lifestyle, socio-cultural factors and stroke risk, as well as to evaluate the association between these factors and serum biochemical markers in elderly individuals residing in northern Thailand. Methods: A cross-sectional analysis was conducted among older adults (aged 60 years and older) with chronic conditions ( Results: Of the 318 elderly participants, 229 (72%) were classified as at risk for stroke. Stroke risk was significantly associated with older age (70-79 years), hypertension, lower educational attainment, presence of underlying medical conditions, fasting glucose levels in the diabetic range, high total cholesterol, and elevated homocysteine levels. In the linear regression analysis, age was inversely associated with fasting glucose and cholesterol levels. Fat intake predicted higher cholesterol levels, sweet intake predicted higher fasting glucose levels, and salt intake predicted elevated homocysteine levels. Conclusion: These findings indicate that stroke risk among older adults in northern Thailand is influenced by biological aging and metabolic dysregulation. Educational disparities, possibly reflecting differences in health literacy, may further contribute to stroke vulnerability. Blood pressure, blood glucose, lipid parameters, and homocysteine levels highlight the role of interconnected metabolic pathways in shaping cerebrovascular risk.

Indexed as

elderly healthlifestyle behaviorNorthern Thailandserum biomarkerssocio-cultural factorsstroke risk

Identifiers

PMID41798798
PMCPMC12960111

What Socratic holds

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LicenceCC BY
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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 Socratic graph.