Evidence map›Paper›PMID 41038865›Full record

ArticleScientific reports2025

Factors related to high sodium intake based on 24-hour urinary sodium excretion in population aged 50 years and older.

Ali Gholami, Amir M Ramezani, Mohammad Heshmati, Mitra Hariri

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ali GholamiNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.
Amir M RamezaniHealthy Ageing Research Centre, Neyshabur University of Medical Sciences, Janbazan Ave, Neyshabur, Iran.
Mohammad HeshmatiDave C. Swalm School of Chemical Engineering, Mississippi State University, Mississippi State, MS, 39762, USA.
Mitra HaririNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran. Haririm1@nums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Factors which affect sodium consumption vary across various regions and populations, largely due to cultural preferences and age. This study aims to study and identify the factors associated with high sodium intake in the Iranian population aged 50 years and older. This study is a cross-sectional analysis within the framework of the ongoing Neyshabur Longitudinal Study on Ageing (NeLSA). The investigation of the factors associated with high sodium intake was based on 24-hour urinary sodium excretion. A logistic regression model was used to assess the association between subjects' characteristics and urinary sodium excretion levels (≥ 2000 mg/day vs. <2000 mg/day). The study was conducted on 360 subjects with a mean age of 59.0 ± 4.8 years. Multiple Logistic regression analysis, adjusted for relevant covariates, showed that male sex (odds ratio (OR): 5.75; 95% confidence interval (CI): 1.25-26.62), high-risk waist-hip ratio (WHR) (OR: 5.42; 95% CI: 1.15-25.38), daily energy intake > 2472 kcal/day (OR: 2.00; 95% CI: 1.02-3.95), and low intake of fruits (OR: 2.60; 95% CI 1.07-6.32) and vegetables (OR: 5.67; 95% CI: 1.48-21.71) were significantly associated with higher 24-hour urinary sodium excretion. Therefore, sex, WHR, calorie intake, and fruits and vegetables consumption should be considered when developing policy-based interventions to reduce sodium intake in populations aged 50 years and older.

Indexed as

SodiumSodium, DietaryAgedCross-Sectional StudiesEnergy IntakeFemaleHumansIranLongitudinal StudiesMaleMiddle AgedWaist-Hip RatioSodiumSodium, DietaryAgedIranSodium intakeUrinary sodium excretion

Identifiers

PMID41038865
PMCPMC12491544

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