Association of Coronary Risk Factors with BMI, Blood Pressure, and Diabetic Score in Football Factory Workers

Background: Cardiovascular diseases are the leading cause of mortality worldwide. Occupational activities may influence coronary risk factors such as BMI, blood pressure, and diabetes, particularly among sedentary workers.Objective: This study aimed to evaluate the association of coronary risk factors with BMI, blood pressure, and diabetes risk score among football factory workers.Methods: A cross-sectional study was conducted among 102 football factory workers aged 40–55 years in Sialkot, Pakistan. Data were collected using the Physical Activity Readiness Questionnaire (PAR-Q), the Finnish Diabetes Risk Score (FINDRISC), and a coronary risk table proposed by the Michigan Heart Association. Descriptive and inferential statistics, including Pearson correlation, were performed using SPSS version 25.Results: Among participants, 49.02% had high blood pressure, while 47.06% were overweight (BMI >24.5). Coronary risk was low (<5%) in 76.47% of workers, with 6.66% showing a high risk (>20%). Diabetes risk was low (<7 points) in 63.73% of workers. A weak positive correlation was observed between coronary risk and BMI (r = 0.200, p = 0.044), but correlations with blood pressure (r = 0.075, p = 0.455) and diabetes (r = 0.104, p = 0.297) were not statistically significant.Conclusion: Football factory workers demonstrated minimal coronary risk due to their relatively healthy lifestyle. BMI was the most significantly associated factor among the measured variables.

Authors

Institutions

Publication Details

Journal
Journal of Health and Rehabilitation Research
Published
2024-09-19
DOI
https://doi.org/10.61919/jhrr.v4i3.1332
Primary Topic
Health and Wellbeing Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of Coronary Risk Factors with BMI, Blood Pressure, and Diabetic Score in Football Factory Workers

Kiran Iqbal, M. Saad Bin Arif, Aftab Ansar Lodhi, A. Shafique et al.
Journal of Health and Rehabilitation Research
Health and Wellbeing Research
article

Association of Coronary Risk Factors with BMI, Blood Pressure, and Diabetic Score in Football Factory Workers

Kiran Iqbal, M. Saad Bin Arif, Aftab Ansar Lodhi, A. Shafique, A ZAFAR
article en

Abstract

Background: Cardiovascular diseases are the leading cause of mortality worldwide. Occupational activities may influence coronary risk factors such as BMI, blood pressure, and diabetes, particularly among sedentary workers.Objective: This study aimed to evaluate the association of coronary risk factors with BMI, blood pressure, and diabetes risk score among football factory workers.Methods: A cross-sectional study was conducted among 102 football factory workers aged 40–55 years in Sialkot, Pakistan. Data were collected using the Physical Activity Readiness Questionnaire (PAR-Q), the Finnish Diabetes Risk Score (FINDRISC), and a coronary risk table proposed by the Michigan Heart Association. Descriptive and inferential statistics, including Pearson correlation, were performed using SPSS version 25.Results: Among participants, 49.02% had high blood pressure, while 47.06% were overweight (BMI >24.5). Coronary risk was low (<5%) in 76.47% of workers, with 6.66% showing a high risk (>20%). Diabetes risk was low (<7 points) in 63.73% of workers. A weak positive correlation was observed between coronary risk and BMI (r = 0.200, p = 0.044), but correlations with blood pressure (r = 0.075, p = 0.455) and diabetes (r = 0.104, p = 0.297) were not statistically significant.Conclusion: Football factory workers demonstrated minimal coronary risk due to their relatively healthy lifestyle. BMI was the most significantly associated factor among the measured variables.

Journal of Health and Rehabilitation ResearchVol. 4(3)
Physiotherapy New Zealand (NZ), Pain in Motion (BE), Canadian Chiropractic Association (CA), University of Sialkot
Openalex Percentile: Top 53%
Health and Wellbeing Research
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.