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                    <title><![CDATA[Association between work profile and
cardiovascular risk factors among police personnel: a cross-sectional study]]></title>
                    <author>Pooja Vyas*</author><author>Meena Parmar</author><author>Himani Pandya</author><author>Shardul Chaurasia</author><author>Rajesh Chaudhary</author><author>Rajvi Kanala</author>                    <link> https://admin.imcjms.com/registration/journal_full_text/611 </link>
                    <pubDate>2026-08-20 10:26:43</pubDate>
                    <category>Original Article</category>
                    <comments>July 2026; Vol. 20(2):002</comments>
                    <description>
                        <![CDATA[Abstract
Background and objective: The police force
constitutes a special occupational group that requires particular attention to
reduce cardiovascular risk and prevent premature cardiovascular disease (CVD). This
cross-sectional study aimed to compare the prevalence of cardiovascular risk
factors between police personnel engaged in fieldwork and those engaged in
office work.
Materials and methods: A cross-sectional
study design was employed, involving 2380 police personnel who attended preventive cardiac health check-ups
between April 2023 and November 2023. Their demographic characteristics,
department, post held, personality type, anthropometric parameters, addiction
history, blood pressure, major illness history, dietary intake, and exercise
were noted. Laboratory parameters including haemoglobin, serum creatinine,
fasting blood sugar, and lipid profile were screened. Based on working patterns,
we compared baseline characteristics and risk factors between fieldwork and
office work groups. Logistic regression analysis was performed with work profile
(Fieldwork=1, Office=0) as the dependent variable to identify factors
independently associated with fieldwork.
Results: After multivariable adjustment (including age and sex), systolic pressure
(OR 1.01, 95% CI 1.008-1.02, P=<0.001),
daily junk food consumption (OR 2.9, 95% CI 2.3-3.62, P<0.001), type A
personality (OR 1.52, 95% CI 1.21-1.92, P<0.001) and lack of exercise (OR
1.47, 95% CI 1.18-1.83, P=0.001) were independently associated with belonging
to the fieldwork group.
Conclusion: Fieldwork among
police personnel was associated with a higher burden of adverse lifestyle and
metabolic risk factors compared to office work. These findings highlight the
need for targeted occupational health interventions in this subgroup.
July 2026; Vol.
20(2):002.  DOI: https://doi.org/10.55010/imcjms.20.011
*Correspondence: Pooja Vyas, Department
of Cardiology, U.N. Mehta Institute of Cardiology and Research Centre
(UNMICRC), Civil Hospital Campus, Asarwa, Ahmedabad-380016, Gujarat, India.
Email:poojavyaskothari@gmail.com.
© 2026 The Author(s)
This is an open access article distributed under the terms of the Creative Commons Attribution License(CC BY 4.0)
 
 
Introduction
The
population's health is greatly influenced by environmental factors and working
situations [1]. There are several factors associated with the working
conditions of police officers, including unanticipated events, high levels of
physical and mental stress, and unpredictable emergencies [2]. The four main behaviors
that lead to the majority of non-communicable illnesses are using tobacco
products, not exercising, eating poorly, and drinking alcohol in excess. Four
significant physiological or metabolic alterations are brought on by these behaviors:
higher blood pressure, overweight/obesity, elevated blood glucose, and elevated
cholesterol [3]. Even if their socioeconomic status has improved over the
previous 10 years, police officers still have a higher frequency of typical
risk factors, such as tobacco use, poor nutrition, physical inactivity, and
hazardous alcohol intake [4,5]. Globally and in India as well, these four
modifiable behavioural risk factors bear the primary blame for the enormous
burden of non-communicable illnesses. In India, non-communicable illnesses
constituted 63% of all fatalities in 2016, with cardiovascular diseases
accounting for 27% of those cases. Additionally, 45% of fatalities in the 40–69
age range are related to CVDs [6,7]. Numerous studies revealed that the stress
of their jobs affected their physical and mental health. Because of these
work-related stressors, people tend to adopt unhealthy lifestyles, which
include irregular eating patterns, restricted food options while on duty,
working overtime, interrupted sleep patterns, and dangerous alcohol and tobacco
usage, which can cause high blood pressure, heart attacks, and mental stress [3,
4, 7]. Furthermore, research has indicated that police officers are subject to
ongoing non-traumatic stress due to the demands of their line of work. For
example, pressures from the public, courts, the media, and superiors can worsen
stress-related conditions, such as insomnia among law enforcement personnel [8,9].
The police force constitutes a special occupational group that requires special
attention to prevent premature cardiovascular risk factors. By understanding
the unique challenges faced by police officers and taking proactive steps to
address their cardiovascular health, primary care providers and family
physicians can play a crucial role in improving the overall well-being of this
important community. Early intervention and preventive measures can help reduce
the burden of cardiovascular disease (CVD) and improve the quality of life for
police officers. Keeping "prevention is better than cure" in focus, a
joint discussion was held between authorities of our institute and the police
department in Ahmedabad city. A detailed plan for preventive cardiac health
check-ups was designed to screen all police personnel for high blood pressure,
diabetes, lipid disorder, diet quality, Body Mass Index (BMI), physical
inactivity, ECG & 2-D echocardiography to screen the current condition of
heart and risk factor that leads to cardiovascular disease. This study aimed to
compare the prevalence and predictors of cardiovascular risk factors between
police personnel engaged in fieldwork and those engaged in office work.
 
Materials and methods
A cross-sectional study was performed during the
health check-up camp of police personnel conducted at U.N. Mehta Institute of Cardiology and Research Centre (UNMICRC), Gujarat,
India. After obtaining permission from the Institutional
Ethical Committee of the institute, the study commenced.
(EC/Approval/25/CARDIO/27/09/2022). All police personnel of zone – 4 of
Ahmedabad city were invited to participate in the study as a part of the health
screening camp from April 2023 to November 2023. The trained team of staff
conducted the health check-up for police personnel which included a trained
cardiac staff nurse, cardiac physiotherapist, trained lab technician,
physician, cardiologist, and trained data entry operator. A total of 2380
police personnel attended preventive cardiac health check-ups. After obtaining
consent from the study participants, a predesigned semi-structured proforma was
used for data collection. The proforma included information regarding
demographic characteristics, the department where he/she works, the post held,
duration of service in the police, personality type, anthropometric parameters,
history of addiction to tobacco chewing or smoking, history of any major
illness such as diabetes, hypertension, any other surgery history, it also included
information regarding the type of dietary intake, exercise, yoga or meditation
and being involved in physical activity. The proforma was given to the police
personnel for their personal information (Name, age, sex, address) was self‑administered and it was cross‑checked. Blood samples of all participants were
collected (after 14 hours overnight fasting) for serum triglyceride,
low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein
cholesterol (HDL-C), and total cholesterol (TC), were estimated using enzymatic
methods on an automated analyzer; fasting blood glucose (FBG) was also measured
by enzymatic methods on an autoanalyzer. Dyslipidaemia was defined as
TC ≥ 200 mg/dl, TG ≥150 mg/dl, or LDL-C ≥ 130 mg/dl, or HDL-C < 40 mg/dl
(for men) and HDL-C < 50 (for women) [10,11,12]. Diabetes was defined as FBG
≥126 mg/dl [10,13]. Systolic blood pressure (SBP) and diastolic blood pressure
(DBP) were measured using calibrated mercury sphygmomanometers. Hypertension in
the cases who had high blood pressure was defined as systolic blood
pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg [14]. Participants were
classified into work profile groups based on official departmental records and
primary duty assignment. Fieldwork personnel were those primarily deployed for
patrol duties, law enforcement operations, public order management, and active
community interaction (Group 1, n=1840). Office work personnel were those
primarily assigned to administrative, clerical, or desk-based duties within
police stations or headquarters. Classification was verified through
departmental duty rosters (Group 2, n=540).
Statistical analysis: Data were
analysed as range; mean ± standard deviation (±SD), frequencies (number of
cases), and relative frequencies (percentages) as appropriate. A comparison of
parametric values between the two groups was performed using the independent
sample t-test. Categorical variables were compared using the chi-square test.
Logistic regression analysis was performed with work profile (Fieldwork=1,
Office work=0) as the dependent variable. Variables significant in univariate
analysis (p<0.10) were entered into a multivariable model. Age and sex were
included as mandatory covariates to adjust for baseline differences. Adjusted
odds ratios (OR) with 95% confidence intervals (CI) were reported. A p-value
<0.05 was considered statistically significant. All statistical analysis was
carried out using the IBM, SPSS (Statistical Package for the Social Science)
program vs 26.
 
Results
The
demographic details, prevalence of risk factors, working patterns, and
lifestyle history are shown in Table-1. A total of 2380 police personnel
attended preventive cardiac health check-ups and were included in our study.
There were 2014 males and 366 females. The average age was 37.85 years (range:
20–60 years). The prevalence of hypertension was 9.4% and diabetes was 3.9%;
newly detected hypertension and diabetes were 5.6% and 4.6%, respectively.
Daily junk food consumption was seen in 50.12%, tobacco chewing in 15.2%, lack
of regular physical exercise in 30.5%, and Type A personality in 19.3%.
Based
on working patterns, we divided personnel into fieldwork (n=1840) and office
work (n=540) groups. The fieldwork group had 1642 males and 198 females, while
the office group had 372 males and 168 females. Females were more represented
in the office group. Mean age was 38.2 years in the fieldwork group and 36.3
years in the office group.
 
Table-1: General characteristics of the study population (n=2380)
 
 
Baseline
characteristics and blood investigations are compared in Table-2. Due to
significant baseline differences (age and sex), multivariable logistic
regression including age and sex as mandatory covariates was performed. Fasting
blood glucose was comparable between groups. Systolic and diastolic blood
pressure were higher in the fieldwork group (p<0.001). In lipid profile
examination, cholesterol, LDL-C, total lipids, and total cholesterol/HDL ratio
were significantly higher in the fieldwork group.
 
Table-2: Baseline characteristics and blood investigations comparison between
the groups according to work pattern
 
 
Cardiovascular
risk factors and lifestyle factors are shown in Table-3. Smoking and tobacco
chewing were comparable between groups. Non-vegetarian and mixed food
consumption were higher in the fieldwork group. Daily junk food consumption,
and Type A personality were significantly higher in the fieldwork group.
Regarding work patterns and lifestyle characteristics (Table-3), shift duty was
highly prevalent among the study population. However, the proportion of
participants engaged in shift duty was found to be significantly higher in the
field work group compared to the office work group (86.3% vs. 65.3%, P <
0.0001).
 
Table-3: Comparison of cardiovascular risk factors and lifestyle characteristics
by work group
 
 
Table-4
presents univariate and multivariate logistic regression analyses identifying
variables independently associated with belonging to the fieldwork group. After
multivariable adjustment, higher systolic blood pressure, daily junk food
consumption, Type A personality traits, and lack of regular exercise remained
independently associated with the fieldwork group.
 
Table-4: Univariate and multivariate logistic regression analysis showing
factors independently associated with belonging to the fieldwork group
(compared to office work)
 
 
Discussion
A total of 2380 police personnel attended preventive
cardiac health check-ups and were taken in this study. In our study, the
prevalence of consumption of daily junk food is 50.12%, physical inactivity is
30%, and tobacco use is 15.2%. At baseline, the prevalence of known
hypertension and newly detected hypertension was 9.4% and 5.6% respectively.
The prevalence of known diabetes and newly detected diabetes was 3.9% and 4.6%.
The prevalence of newly detected dyslipidaemia was 0.8%.
Our
study shows that fieldwork personnel demonstrated a higher prevalence of
adverse behavioural and metabolic risk factors compared to office personnel.
Similar findings were reported by Shiozaki et al. [15], who examined
job-related behavioural characteristics and coronary heart disease risk in
Japanese male police officers. They found that field workers had significantly
more coronary heart disease risk factors, with coronary-prone behaviour, age,
social support, and walking hours being significant determinants. In our study,
junk food consumption, lack of exercise, and Type A personality were more
prevalent in the fieldwork group.
Zhang
et al. [16] assessed metabolic syndrome among 10,348 Chinese police officers
and found associations with older age, male sex, alcohol, and tobacco use.
Chauhan et al. [17] studied 402 police personnel in Gwalior and reported
hypertension prevalence of 67.9%, with 75.8% being newly diagnosed. In our
study, known hypertension was 9.4% and newly detected hypertension 5.6%.
Sunil
et al. [18] reported tobacco use of 23.5% and alcohol consumption of 28% among
police in Karnataka, with 23% having diabetes, 26% hypertension, and 64.5%
metabolic syndrome. Garbarino and Magnavita [19] followed 234 Italian police
officers for 5 years and found work-related stress significantly associated
with incident hypertriglyceridaemia (OR 7.9, 95% CI 1.3–48.0). Our findings are
consistent with these studies, showing fieldwork personnel had higher
dyslipidaemia and elevated systolic pressure, though these associations should
be interpreted with caution due to baseline demographic differences. Our
multivariate analysis identified higher systolic blood pressure, daily junk
food consumption, Type A personality, and lack of exercise as significantly associated
with the fieldwork group.
Geethu
and Jadhav [20] studied 400 Bengaluru police officers >40 years using the
WHO/ISH risk chart and found significant associations between cardiovascular
disease risk and age, marital status, education, family history, smoking,
diabetes, hypertension, and blood pressure levels.
Fieldwork
involves high-risk situations, emotional intensity, lack of control, long
hours, public scrutiny, physical demands, and traumatic exposures – all
contributing to greater stress than office work. These stressors impact
cardiovascular health. Law enforcement agencies should prioritise officer well‑being
through stress management, health resources, and lifestyle promotion. Primary
care physicians play a vital role through regular screening, early detection,
and personalised interventions.
 
Conclusion
Fieldwork
was associated with differences in several lifestyle characteristics and
cardiovascular risk markers, particularly daily junk-food consumption, physical
inactivity and systolic blood pressure. While causality cannot be inferred, these findings suggest the need for
targeted preventive strategies, structured wellness programs, stress management
initiatives, and periodic cardiovascular risk assessment tailored specifically
to field-deployed police personnel. 
 
Limitations
This study has several limitations. First, the
cross-sectional design prevents causal inference between work profile and
cardiovascular risk factors. Second, significant baseline differences between
groups, particularly age and sex distribution, may have introduced residual
confounding despite statistical adjustment. Third, classification into
fieldwork and office groups was based on primary duty assignment and may not
fully capture variations in workload intensity. Fourth, lifestyle variables
such as diet and exercise were self-reported and may be subject to information
bias.
 
Conflict of interest
The authors have no conflicts of interest associated
with the material presented in this paper.
 
Funding Sources
The author(s) received no financial support for the
research, authorship, and/or publication of this article.
 
Acknowledgments
Special thanks to Dr. Kanan Desai D.C.P., Zone – IV
for her support and for providing all the necessary documents to carry out this
preventive cardiac health check-up camp. We would like to thank all the police
personnel and police stations in‑charge for their consent and cooperation in
collecting the required information for this research work.
 
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Cite this article
as:
Vyas
P, Parmar M, Pandya H, Chaurasia S, Chaudhary R, Kanala R. Association between work profiles and their impact on cardiovascular risk
factors in police community. IMC J Med Sci. 2026; 20(2):002.  DOI:https://doi.org/10.55010/imcjms.20.011]]>
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