Evidence map›Paper›PMID 35978422›Full record

ArticleBMC public health2022

Prevalence of hypertriglyceridemia among Royal Thai Army personnel and its related cardiometabolic risk factors, from 2017 to 2021.

Boonsub Sakboonyarat, Jaturon Poovieng, Kanlaya Jongcherdchootrakul, Phutsapong Srisawat, Panadda Hatthachote, Mathirut Mungthin, Ram Rangsin

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

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  4. Effects ofMetabolites · 2024
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  6. Trends in Serum Total Cholesterol and High Total Cholesterol Prevalence Among Royal Thai Army Personnel in Thailand, 2017-2022.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2023
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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

7 authors at 2 institutions in 1 country.

Boonsub SakboonyaratDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Jaturon PooviengDepartment of Medicine, Phramongkutkalo College of Medicine, Bangkok, 10400, Thailand.
Kanlaya JongcherdchootrakulDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Phutsapong SrisawatDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Panadda HatthachoteDepartment of Physiology, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Mathirut MungthinDepartment of Parasitology, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand.
Ram RangsinDepartment of Military and Community Medicine, Phramongkutklao College of Medicine, Bangkok, 10400, Thailand. r_rangsin@yahoo.com.
Phramongkutklao College of MedicinePhramongkutklao Hospital · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertriglyceridemia is a common health problem independently associated with an increased risk of atherosclerosis cardiovascular diseases (ASCVD), including ischemic heart disease and stroke. This study aims to determine the prevalence of hypertriglyceridemia among Royal Thai Army (RTA) personnel and its behavioral and cardiometabolic risk factors using the RTA personnel database of the physical health examination from 2017 to 2021.

methodsA serial cross-sectional study was conducted from 2017 to 2021. A total of 257,683 active-duty RTA personnel aged 35-60 years were included in the study. We defined hypertriglyceridemia as fasting triglyceride ≥150 mg/dL. Moreover, we performed a multivariable logistic regression analysis to investigate behavioral and cardiometabolic risk factors for the prevalence of hypertriglyceridemia. The magnitude of the association was presented as an adjusted odds ratio (AOR) with a 95% confidence interval (CI).

resultsThe hypertriglyceridemia prevalence among RTA personnel was 43.4% (95% CI: 42.9-43.8%) in 2017. It then continuously decreased to 40.3% (95% CI: 39.9-40.7%) in 2020 and slightly rose to 41.0% (95% CI: 40.6-41.4%) in 2021 (p for trend < 0.001). The prevalence of hypertriglyceridemia was higher for males than females (AOR 2.15; 95% CI: 2.07-2.23); RTA personnel aged 40-44 years compared with those aged 35-39 years (AOR 1.05; 95% CI: 1.02-1.08); and RTA personnel residing in the northeast (AOR; 1.15 95% CI: 1.11-1.18) and the north (AOR 1.05; 95% CI: 1.02-1.08) compared with those residing in Bangkok. The independent behavioral factors associated with hypertriglyceridemia included alcohol consumption, smoking, and sedentary behavior. Moreover, cardiometabolic risk factors, including higher body mass index, high fasting plasma glucose (≥ 100 mg/dL), high blood pressure (≥ 140/90 mmHg), and hypercholesterolemia (≥ 200 mg/dL), were significantly related to hypertriglyceridemia.

conclusionOur data demonstrated that hypertriglyceridemia is a frequent health issue, especially among males, participants aged 40-44 years, and RTA personnel residing in the northeast and the north. The prevalence of hypertriglyceridemia in this population was greatly influenced by alcohol consumption, cigarette smoking, and sedentary behavior. Both behavioral and cardiometabolic risk factors are potential targets for intervention to enhance the primary prevention of sequelae of hypertriglyceridemia, including ASCVD.

Indexed as

HyperlipidemiasHypertriglyceridemiaMilitary PersonnelCardiometabolic Risk FactorsCross-Sectional StudiesFemaleHumansMalePrevalenceRisk FactorsThailandBehavioral riskCardiometabolic riskHypertriglyceridemiaRTAThailand

Identifiers

PMID35978422
PMCPMC9387031
OpenAlexW4292148913

What Socratic 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 Socratic graph.