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Acute Cardiovascular Incidents in Young Adults

Original Articles

Anurak Chaiyapor, Suda Rattanakul

Paper ID : JMRP-02-2026-105

Published Date : February 28, 2026

DOI : 10.65188/nurexus.1066

Open AccessOpen Access
Peer ReviewedPeer Reviewed

Chaiyapor A, Rattanakul S. Acute Cardiovascular Incidents in Young Adults. Journal of Med-Verse & Practice. 2026;4(2):1-8. doi: 10.65188/nurexus.1066. Available from: https://nurexus.com/journals/published/JMRP-02-2026-105

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Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
Page 1
Journal of MedVerse Research & Practice
ISSN: 3107-4278
Acute Cardiovascular Incidents in Young Adults
Dr. Anurak Chaiyapor
1
, Dr. Suda Rattanakul
2
Assistant Professor, Professor
Department of Cardiology, Mae Fah Luang University, Thailand
Email ID: anurak33@gmail.com
Submission Date: 20.01.2026
Accepted Date:21.02.2026
Published Date: 28.02.2026
DOI: 10.65188/nurexus.1066
Copyright © 2026. The author(s). Published by Journal of MedVerse Research and Practice. This is an open-access
article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted
use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
Abstract
Background: Cardiovascular disease is increasingly affecting young adults, largely driven by modifiable behavioral
and metabolic risk factors. Early identification of determinants and gaps in awareness is essential to reduce premature
morbidity and long-term cardiovascular burden.
Methods: A cross-sectional study was conducted among 140 young adults aged 1845 years with acute
cardiovascular events at a tertiary care center. Data on demographics, metabolic and lifestyle risk factors,
psychosocial stress, awareness, and outcomes were collected and analyzed using SPSS. Chi-square and independent
t-tests assessed associations, while multivariate logistic regression identified independent predictors of major adverse
cardiovascular events. A p-value <0.05 was considered significant.
Results: The mean age was 37.4 ± 6.2 years, with 72.9% males. NSTEMI was the most common presentation
(37.1%). Overweight or obesity was observed in 77.1%, dyslipidemia in 50%, hypertension in 44.3%, and smoking
in 41.4%. High stress levels were reported in 38.6%, while 58.6% lacked adequate awareness of cardiovascular
symptoms. Nearly 47.1% presented more than six hours after symptom onset. Independent predictors of MACE
included smoking (AOR 3.1; p=0.002), obesity (AOR 2.8; p=0.006), dyslipidemia (AOR 2.6; p=0.004), high stress
(AOR 2.4; p=0.01), and lack of awareness (AOR 3.4; p=0.001).
Conclusion: Acute cardiovascular incidents in young adults are strongly associated with modifiable metabolic,
behavioral, and psychosocial determinants. Early screening, lifestyle modification, stress management, and improved
awareness are critical to reducing premature cardiovascular risk.
Keywords: Young adults; Acute cardiovascular events; Smoking; Obesity; Dyslipidemia; Psychosocial stress;
Awareness; Major adverse cardiovascular events.
Introduction
Cardiovascular disease (CVD) continues to be the leading cause of mortality worldwide, accounting for
nearly 20 million deaths annually [1]. Although traditionally perceived as a condition affecting older adults,
recent epidemiological trends indicate a rising incidence of acute cardiovascular events among young
individuals aged below 45 years [2,3]. This shift carries major clinical and socioeconomic implications, as
cardiovascular events occurring in early adulthood contribute to long-term disability, reduced productivity,
and increased healthcare burden. Atherosclerosis begins early in life and progresses silently over decades
before clinical manifestation [4]. The Framingham Heart Study demonstrated that traditional risk factors
such as hypertension, dyslipidemia, diabetes mellitus, smoking, and obesity significantly influence lifetime
cardiovascular risk even when present in young adulthood [5]. Similarly, the Coronary Artery Risk
Development in Young Adults (CARDIA) study showed that risk factor accumulation in early adulthood
predicts subclinical atherosclerosis and future coronary events [6].
ORIGINAL ARTICLE
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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Recent studies have reported stable or increasing hospitalization rates for acute myocardial infarction
among young adults, particularly in the 3544-year age group [2,7]. Unlike older populations, where age-
related vascular degeneration predominates, acute cardiovascular events in young adults are more closely
associated with modifiable lifestyle and metabolic factors. Obesity and metabolic syndrome have become
increasingly prevalent due to sedentary behavior and dietary transitions toward processed, high-calorie
foods [8]. Current ACC/AHA guidelines recommend aggressive lifestyle modification beginning in early
adulthood to reduce lifetime cardiovascular risk [9]. Moreover, lifetime risk assessment models are
preferred over short-term risk calculators in younger individuals, as conventional tools may underestimate
disease burden [10].
Smoking remains one of the most significant and preventable contributors to premature cardiovascular
events. Young smokers exhibit enhanced platelet reactivity and endothelial dysfunction, predisposing them
to acute coronary syndromes [11]. Despite global tobacco control initiatives, tobacco use remains common
in younger populations [12]. Psychosocial stress has also emerged as an independent risk factor. Chronic
stress contributes to sympathetic activation, systemic inflammation, and endothelial injury, thereby
accelerating atherosclerotic processes [14,15].
In addition to traditional atherosclerotic mechanisms, non-atherosclerotic causes such as spontaneous
coronary artery dissection, myocarditis, and myocardial infarction with non-obstructive coronary arteries
are more frequently encountered in younger patients [1618]. These diverse etiologies highlight the
complexity of acute cardiovascular presentations in this age group. Despite increasing disease burden,
awareness of cardiovascular symptoms and preventive strategies remains inadequate among young adults.
Delayed recognition and late healthcare seeking significantly worsen outcomes [19]. Strengthening
cardiovascular literacy and promoting early screening are therefore essential components of prevention
strategies. Given the convergence of metabolic risk factors, adverse lifestyle behaviors, psychosocial
stressors, and limited awareness, acute cardiovascular incidents among young adults represent an evolving
public health challenge. The present study was undertaken to evaluate the clinical profile, lifestyle
determinants, awareness levels, and predictors of adverse outcomes among young adults presenting with
acute cardiovascular events in a tertiary care setting, to inform targeted preventive and intervention
strategies.
Materials and Methods
Study Design
This hospital-based cross-sectional study was conducted to evaluate the clinical profile, cardiovascular risk
factors, lifestyle determinants, psychosocial influences, awareness of cardiovascular disease, and short-
term outcomes among young adults presenting with acute cardiovascular incidents.
Study Setting and Duration
The study was conducted at Mae Fah Luang University, Thailand, over a period of one year. Consecutive
eligible patients presenting to the Emergency Department or Department of Cardiology during the study
period were enrolled.
Study Population
The study population consisted of young adults aged 18 to 45 years presenting with symptoms suggestive
of acute cardiovascular events. The diagnosis was confirmed using electrocardiographic findings, cardiac
biomarkers, echocardiography, coronary angiography, cardiac magnetic resonance imaging, or documented
clinical diagnosis by a cardiologist. Both inpatient and outpatient cases were included in the study.
Sample Size
The study included all eligible consecutive patients presenting during the study period who fulfilled the
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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inclusion criteria. The sample size was determined based on the number of eligible participants available
during the study period.
Inclusion Criteria
Young adults aged between 18 and 45 years with a confirmed diagnosis of an acute cardiovascular event
who were willing to participate in the study and provide written informed consent were included.
Exclusion Criteria
Patients younger than 18 years or older than 45 years, those with pre-existing chronic cardiovascular disease
diagnosed before the study period, a history of previous acute cardiovascular events, pregnant women,
patients who opted for leave against medical advice, and individuals unable to provide reliable clinical
information were excluded from the study.
Data Collection
Data were collected using a structured, pre-validated questionnaire and verified through hospital medical
records. Information collected included demographic characteristics, anthropometric measurements for
calculation of body mass index, medical history, cardiovascular risk factors, lifestyle behaviours including
smoking, alcohol consumption, physical activity, and dietary habits, psychosocial stress levels, awareness
of cardiovascular symptoms, time from symptom onset to hospital presentation, clinical findings,
investigations, treatment received, and short-term clinical outcomes. Major adverse cardiovascular events
were defined as the occurrence of cardiogenic shock, significant left ventricular dysfunction with an
ejection fraction of less than 40%, clinically significant arrhythmias requiring therapeutic intervention, or
in-hospital mortality.
Ethical Considerations
The study protocol was reviewed and approved by the Institutional Ethics Committee of Mae Fah Luang
University, Thailand (Ref. No. MFU/IEC/2024/45821). A detailed Participant Information Sheet was
provided to all eligible participants, and written informed consent was obtained before enrolment.
Confidentiality and anonymity were maintained throughout the study by assigning unique identification
numbers to each participant and ensuring that all collected information was used solely for research
purposes.
Statistical Analysis
Data were entered into Microsoft Excel for data cleaning and coding before being analyzed using the
Statistical Package for the Social Sciences (SPSS) software. Categorical variables were expressed as
frequencies and percentages, whereas continuous variables were presented as mean ± standard deviation.
Associations between variables were analyzed using the Chi-square test for categorical data and the
independent sample t-test for continuous variables. Multivariate logistic regression analysis was performed
to identify independent predictors of major adverse cardiovascular events and poor short-term outcomes.
A p-value of less than 0.05 was considered statistically significant.
Results
Table 1: Demographic Characteristics of Study Participants (n = 140)
Frequency
Percentage
14
10.0%
50
35.7%
76
54.3%
102
72.9%
38
27.1%
37.4 ± 6.2 years
More than half of the participants (54.3%) belonged to the 3645-year age group, indicating clustering of
events in the later phase of young adulthood. The mean age of 37.4 years reflects early manifestation of
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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cardiovascular disease. A strong male predominance (72.9%) was observed.
Table 2: Type of Acute Cardiovascular Event
Diagnosis
Frequency
Percentage
NSTEMI
52
37.1%
STEMI
36
25.7%
Unstable Angina
28
20.0%
Arrhythmias
14
10.0%
Myocarditis
10
7.1%
NSTEMI was the most frequent presentation (37.1%), followed by STEMI (25.7%). This indicates
predominance of non-ST elevation acute coronary syndromes in young adults. A considerable proportion
presented with unstable angina and arrhythmias, reflecting heterogeneous clinical manifestations.
Myocarditis accounted for a smaller yet notable subset.
Table 3: Prevalence of Metabolic Risk Factors
Risk Factor
Frequency
Percentage
Overweight/Obesity
108
77.1%
Dyslipidemia
70
50.0%
Hypertension
62
44.3%
Diabetes Mellitus
48
34.3%
Overweight or obesity was present in 77.1% of participants, highlighting a substantial metabolic burden.
Dyslipidemia affected half of the cohort, indicating early lipid abnormalities. Hypertension and diabetes
were also prevalent despite young age. These findings emphasize clustering of cardiometabolic risk factors.
Figure 1: Lifestyle and Behavioral Risk Factors
Smoking was observed in 41.4% of participants, indicating a major preventable contributor. Nearly three-
fourths reported unhealthy dietary patterns, reflecting poor nutritional habits. Sedentary behavior was
common in 42.9% of individuals. These lifestyle factors collectively amplify cardiovascular risk at a young
age.
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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Table 4: Psychosocial Stress and Awareness Levels
Variable
Frequency
Percentage
High Stress
54
38.6%
Moderate Stress
46
32.9%
Low Stress
40
28.6%
Inadequate Awareness
82
58.6%
Adequate Awareness
58
41.4%
High stress levels were reported by 38.6% of participants, indicating significant psychosocial influence. A
majority (58.6%) lacked adequate awareness of cardiovascular symptoms.
Figure 2: Time to Presentation After Symptom Onset
Nearly half (47.1%) of participants presented more than 6 hours after symptom onset. Only 20% sought
care within the first three hours. Delayed presentation increases risk of myocardial damage and
complications. This delay likely reflects inadequate symptom recognition and healthcare-seeking behavior.
Table 5: Multivariate Logistic Regression for Predictors of MACE
Variable
Adjusted Odds Ratio
95% CI
p-value
Smoking
3.1
1.5–6.4
0.002
Obesity
2.8
1.3–5.9
0.006
Dyslipidemia
2.6
1.4–5.1
0.004
High Stress
2.4
1.2–4.9
0.01
Lack of Awareness
3.4
1.7–6.8
0.001
Multivariate analysis identified smoking, obesity, dyslipidemia, high stress, and lack of awareness as
independent predictors of major adverse cardiovascular events. Lack of awareness demonstrated the
strongest association (AOR 3.4; p = 0.001). Smoking and obesity significantly increased the risk. These
findings underscore the combined impact of metabolic, behavioral, and psychosocial determinants.
Discussion
The present study highlights a substantial burden of modifiable cardiovascular risk factors among young
adults aged 18-45 years presenting with acute cardiovascular incidents. More than half of the participants
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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belonged to the 36 - 45year age group, indicating clustering of events in the later phase of young adulthood.
Similar epidemiological patterns have been reported by Arora et al. [3], who demonstrated increasing
hospitalization rates for myocardial infarction in individuals aged 35-44 years. Gupta et al. [7] also observed
persistent prevalence of cardiovascular risk factors among young adults despite improvements in acute care
outcomes. These findings collectively indicate a shifting epidemiological landscape where cardiovascular
disease increasingly affects younger populations. A marked male predominance (72.9%) was observed in
the current study. This observation is consistent with the findings of Amin and DeFilippis [2], who reported
a higher incidence of acute myocardial infarction among young males. Bangalore et al. [18] similarly noted
increased rates of percutaneous coronary intervention among young male patients. However, emerging
literature suggests that cardiovascular risk among young women is also rising, particularly in relation to
psychosocial stress and hormonal influences, as highlighted by Lichtman et al. [22]. These evolving gender
dynamics warrant closer attention in preventive strategies.
Metabolic risk factors were highly prevalent in our cohort. Overweight or obesity was present in 77.1% of
participants, while dyslipidemia and hypertension affected 50% and 44.3%, respectively. Tran and
Zimmerman [1] emphasized that obesity and lipid abnormalities are dominant contributors to early
cardiovascular risk in young adults. Furthermore, the Framingham study [4] established that early exposure
to hypertension and dyslipidemia significantly increases lifetime cardiovascular risk. Juonala et al. [25]
demonstrated that childhood and early adulthood risk factors strongly predict adult cardiovascular events.
These data align with our findings, confirming that cardiometabolic clustering begins early and significantly
influences acute presentations. Smoking was present in 41.4% of participants and independently predicted
major adverse cardiovascular events (AOR 3.1; p = 0.002). This is comparable to the observations of Amin
et al. [2], who reported high smoking prevalence among young myocardial infarction patients. The Tobacco
Atlas [19] continues to report significant tobacco exposure in younger populations globally. Ambrose and
Barua [11] described the mechanisms by which smoking promotes endothelial dysfunction, oxidative stress,
and thrombogenesis, thereby accelerating plaque instability. Our findings reinforce smoking as a critical
modifiable determinant of adverse cardiovascular outcomes.
Psychosocial stress was reported in 38.6% of participants and independently associated with adverse
outcomes (AOR 2.4; p = 0.01). Steptoe and Kivimäki [14] demonstrated strong associations between
chronic stress and cardiovascular disease through inflammatory and neuroendocrine pathways. Lichtman
et al. [22] further showed that psychosocial factors significantly influence recovery and outcomes after
myocardial infarction in young adults. These observations emphasize the importance of incorporating stress
assessment into cardiovascular risk evaluation frameworks. Inadequate awareness of cardiovascular
symptoms was identified in 58.6% of participants, and nearly half presented more than six hours after
symptom onset. Lack of awareness independently predicted adverse outcomes (AOR 3.4; p = 0.001). The
World Health Organization’s noncommunicable disease action plan [15] emphasizes health literacy as a
central pillar in reducing premature cardiovascular mortality. Lloyd-Jones et al. [5] also underscored the
need for public education and early preventive interventions to mitigate cardiovascular risk. Delayed
presentation remains a major contributor to poor prognosis in acute coronary syndromes.
NSTEMI was the most common presentation (37.1%), followed by STEMI (25.7%). Pasupathy et al. [16]
highlighted the heterogeneity of myocardial infarction presentations in younger individuals, including non-
obstructive coronary syndromes. Additionally, non-atherosclerotic causes such as spontaneous coronary
artery dissection and myocarditis are increasingly recognized in younger populations [12,17]. These diverse
etiologies underscore the need for comprehensive diagnostic evaluation in young patients. Multivariate
regression analysis in this study identified smoking, obesity, dyslipidemia, high stress, and lack of
awareness as independent predictors of major adverse cardiovascular events. Similar clustering of
Chaiyapor A et al | DOI: 10.65188/nurexus.1066
Nurexus | Journal of MedVerse Research and Practice | ISSN: 3107-4278 | Volume 4 | Issue 02 | February 2026
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behavioral and metabolic determinants has been emphasized in primary prevention guidelines [9,20].
Lloyd-Jones et al. [6] advocated for lifetime cardiovascular risk assessment in young adults, as short-term
risk models often underestimate cumulative exposure.
Strengths
This study provides a comprehensive assessment of acute cardiovascular incidents among young adults by
evaluating clinical characteristics, lifestyle factors, psychosocial determinants, awareness levels, and short-
term outcomes within a tertiary care setting. The use of a structured, pre-validated questionnaire together
with confirmation of diagnoses through standardized cardiovascular investigations enhances the validity
and reliability of the findings.
Limitations
The cross-sectional single-center design limits the ability to establish causal relationships and may restrict
the generalizability of the findings to other populations. Additionally, lifestyle behaviours and psychosocial
factors were partly based on self-reported information, which may be subject to recall and reporting bias,
and the absence of long-term follow-up precluded assessment of long-term cardiovascular outcomes.
Conclusion
The present study shows that modifiable metabolic, behavioral, and psychosocial factors largely drive acute
cardiovascular events among young adults. Many participants had clustered obesity, dyslipidemia,
hypertension, and smoking, indicating early cardiometabolic dysfunction. High psychosocial stress and
poor awareness of cardiovascular symptoms contributed to delayed presentation and worse outcomes.
Multivariate analysis identified smoking, obesity, dyslipidemia, high stress, and lack of awareness as
independent predictors of major adverse cardiovascular events, fulfilling the study objective. Overall,
cardiovascular disease in young adults reflects cumulative exposure to preventable risk factors, highlighting
the need for early preventive strategies, age specific risk stratification, and integration of lifestyle and
psychosocial assessment into routine care.
Recommendations
The study demonstrates that modifiable metabolic, behavioral, and psychosocial factors drive acute
cardiovascular events in young adults. Clustering of obesity, dyslipidemia, hypertension, and smoking
indicates early cardiometabolic dysfunction. Smoking, obesity, dyslipidemia, high stress, and poor
awareness independently predicted adverse outcomes. These findings highlight the need for early
prevention, targeted risk stratification, and routine lifestyle and psychosocial assessment to reduce
premature cardiovascular morbidity.
Declaration
Funding: None
Conflict of Interest: None declared
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