Evidence map›Paper›PMID 31192010›Full record

ArticleJournal of nutrition and metabolism2019

Factors Associated with High Sodium Intake Assessed from 24-hour Urinary Excretion and the Potential Effect of Energy Intake.

Fatimah Othman, Rashidah Ambak, Cheong Siew Man, Nor Azian Mohd Zaki, Mohd Hasnan Ahmad, Nur Shahida Abdul Aziz, Azli Baharuddin, Ruhaya Salleh, Tahir Aris

Open access · goldAbstract read
In one paragraph

Article in Journal of nutrition and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Hypertension and chronic kidney disease in Asian populations.Journal of clinical hypertension (Greenwich, Conn.) · 2021
    Review
  8. Knowledge and Practices Related to Salt Intake among Saudi Adults.International journal of environmental research and public health · 2020
    Article
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

9 authors at 1 institution in 1 country.

Fatimah OthmanCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.ORCID 0000-0003-2896-6598
Rashidah AmbakCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Cheong Siew ManCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Nor Azian Mohd ZakiCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Mohd Hasnan AhmadCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Nur Shahida Abdul AzizCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Azli BaharuddinCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Ruhaya SallehCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Tahir ArisCentre for Nutrition Epidemiology Research, Institute for Public Health, Ministry of Health Malaysia, Kuala Lumpur, Malaysia.
Ministry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary consumption and other environmental factors are known factors associated with sodium intake. However, little is known about the influence of energy intake on this relationship. The aim of this study was to determine the risk factors associated with high sodium intake assessed from urine sodium excretion and the influence of energy intake. A nationwide, cross-sectional study was conducted from 2015 to 2016 among Malaysian health staff (MySalt 2015). A total of 1027 participants from 1568 targeted participants aged 18 years and older that were randomly selected were included in this study. Sodium intake was determined by measuring sodium excretion in the 24 hr urine test. Dietary, sociodemography, and anthropometry variables as associated risk factors were assessed. Multiple logistic regression models were used to determine the association between high sodium intake (≥2000 mg/day urinary sodium) and potential risk factors. The prevalence of high sodium intake in this study was 70.1% (

Identifiers

PMID31192010
PMCPMC6525945
OpenAlexW2943186427

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.