Patterns of cardiovascular disease subtypes and associated factors among young adults in Peshawar, Pakistan: a multicenter hospital-based cross-sectional study

Background Cardiovascular diseases (CVDs) are a major cause of morbidity and mortality. Evidence on CVD subtypes in young Pakistani adults is limited. This study characterized CVD subtypes and associated factors among young adults in Peshawar Khyber Pakhtunkhwa, Pakistan.Methods A multicentre, cross-sectional study was conducted at four hospitals among patients aged 18–45 years. Data were extracted from three-year hospital records. Associations were assessed using chi-square/Fisher’s exact tests and logistic regression.Results 8,650 CVD cases, 2,090 (24.2%) were young adults, predominantly male (64.6%), with a median age of 40 years (IQR: 36–44). ACS was the most common subtype (61.0%), followed by cardiomyopathy (39.0%). Overweight/obesity (77.0%), hypertension (56.5%), smoking (39.7%), dyslipidaemia (21.8%), and diabetes (14.4%) were the most prevalent factors. Compared with ACS, cardiomyopathy was independently associated with high heart rate, hypertension, dyslipidaemia, diabetes, and family history. Smoking was associated with lower odds of cardiomyopathy than ACS (aOR: 0.50, 95% CI: 0.41–0.61, p < 0.001).Conclusions Young adults accounted for 24.2% of CVD cases, with ACS and cardiomyopathy the most common subtypes, highlighting the need for targeted strategies. The cross-sectional design, findings indicate subtype differences rather than causal effects, while supporting smoking cessation and early hypertension detection in young adults.

Authors

Institutions

Publication Details

Journal
Future Cardiology
Published
2026-10-18
DOI
https://doi.org/10.1080/14796678.2026.2739742
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Patterns of cardiovascular disease subtypes and associated factors among young adults in Peshawar, Pakistan: a multicenter hospital-based cross-sectional study

Zia Ul Haq, Gulzar Ahmad, Nauman Arif, Saima Afaq et al.
Future Cardiology
Cardiovascular Health and Risk Factors
article

Patterns of cardiovascular disease subtypes and associated factors among young adults in Peshawar, Pakistan: a multicenter hospital-based cross-sectional study

Zia Ul Haq, Gulzar Ahmad, Nauman Arif, Saima Afaq, Muhammad Ijaz, Taj Ali Khan, Bilal Ahmad Khan, Imran Khan
article en

Abstract

Background Cardiovascular diseases (CVDs) are a major cause of morbidity and mortality. Evidence on CVD subtypes in young Pakistani adults is limited. This study characterized CVD subtypes and associated factors among young adults in Peshawar Khyber Pakhtunkhwa, Pakistan.Methods A multicentre, cross-sectional study was conducted at four hospitals among patients aged 18–45 years. Data were extracted from three-year hospital records. Associations were assessed using chi-square/Fisher’s exact tests and logistic regression.Results 8,650 CVD cases, 2,090 (24.2%) were young adults, predominantly male (64.6%), with a median age of 40 years (IQR: 36–44). ACS was the most common subtype (61.0%), followed by cardiomyopathy (39.0%). Overweight/obesity (77.0%), hypertension (56.5%), smoking (39.7%), dyslipidaemia (21.8%), and diabetes (14.4%) were the most prevalent factors. Compared with ACS, cardiomyopathy was independently associated with high heart rate, hypertension, dyslipidaemia, diabetes, and family history. Smoking was associated with lower odds of cardiomyopathy than ACS (aOR: 0.50, 95% CI: 0.41–0.61, p < 0.001).Conclusions Young adults accounted for 24.2% of CVD cases, with ACS and cardiomyopathy the most common subtypes, highlighting the need for targeted strategies. The cross-sectional design, findings indicate subtype differences rather than causal effects, while supporting smoking cessation and early hypertension detection in young adults.

Future Cardiology
Khyber Medical University (PK), Lady Reading Hospital (PK), University of York (GB)
Openalex Percentile: Top 11%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.