Evidence map›Paper›PMID 36797348›Full record

ArticleScientific reports2023

Ideal cardiovascular health and all-cause or cardiovascular mortality in a longitudinal study of the Thai National Health Examination Survey IV and V.

Wichai Aekplakorn, Nareemarn Neelapaichit, Suwat Chariyalertsak, Pattapong Kessomboon, Sawitri Assanangkornchai, Surasak Taneepanichskul, Somkiat Sangwatanaroj, Wasin Laohavinij, Jiraluck Nonthaluck

Abstract read
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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Trial
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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

9 authors.

Wichai AekplakornDepartment of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Rama VI Rd., Ratchathewi, Bangkok, Thailand. wichai.aek@mahidol.ac.th.
Nareemarn NeelapaichitRamathibodi School of Nursing, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
Suwat ChariyalertsakFaculty of Public Health, Chiang Mai University, Chiang Mai, Thailand.
Pattapong KessomboonFaculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Sawitri AssanangkornchaiEpidemiology Unit, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
Surasak TaneepanichskulCollege of Public Health Sciences, Chulalongkorn University, Bangkok, Thailand.
Somkiat SangwatanarojDepartment of Internal Medicine, Faculty of Medicine Chulalongkorn Hospital, Chulalongkorn University, Rama VI Rd., Pathumwan, Bangkok, Thailand.
Wasin LaohavinijDepartment of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Jiraluck NonthaluckDepartment of Epidemiology, Faculty of Public Health, Mahidol University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship of ideal cardiovascular health (CVH) and health outcomes has been rarely assessed in middle-income countries. We determined the ideal CVH metrics and association with all-cause and cardiovascular (CVD) mortality in the Thai population. We used baseline data from two rounds of the National Health Examination survey (15,219 participants in 2009 and 14,499 in 2014), and assessed all-cause and CVD deaths until 2020. The prevalence of 5-7 ideal CVH metrics in 2009 was 10.4% versus 9.5% in 2014. During a median follow-up of 7.1 years, the all-cause and CVD mortality rates were 19.4 and 4.6 per 1000 person-years for 0-1 ideal CVH metrics, and 13.0 and 2.1, 9.6 and 1.5, 6.0 and 1.0, and 2.9 and 0.4 per 1000 person-years for 2, 3, 4, and 5-7 ideal CVH metrics, respectively. Participants with 2, 3, 4, or 5-7 ideal metrics had a significantly lower risk of mortality than those with 0-1 ideal CVH metrics (adjusted hazard ratios: 0.75, 0.70, 0.60, and 0.47 for all-cause, and 0.54, 0.52, 0.50, and 0.31 for CVD, respectively). Individuals with a higher number of the modified ideal CVH metrics have a lower risk of all-cause and CVD mortality.

Indexed as

Cardiovascular DiseasesHealth StatusHumansLongitudinal StudiesProportional Hazards ModelsRisk FactorsSoutheast Asian People

Identifiers

PMID36797348
PMCPMC9935621

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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.