Hypertension and Risk Factors in Nepalese Police in Far Western Region.

The prevalence of hypertension among Nepalese police personnel in the far western region was 14%.

• Among 1055 police personnel, 146 (14%) were hypertensive.
• Hypertension was defined as systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg.
• This prevalence was described as lower than in the general population of Nepal.
• The study was cross-sectional, conducted across police stations in three districts of the far western Province of Nepal.

Diabetes and pre-obesity were prevalent among the studied police personnel.

• 4.8% (51 of 1055) of police personnel were diabetic.
• 33% (339 of 1055) were pre-obese, defined as BMI 25.0–29.0.
• Data were collected during annual medical check-ups including blood pressure, height, weight, waist circumference, random blood sugar, and urine reaction.

Older age groups were approximately twice as likely to be hypertensive compared to the youngest age group (19–24 years).

• Age group 25–29 years had an AOR of 2.03 (95% CI 1.11, 3.75) compared to age group 19–24 years.
• Age group 35–39 years had an AOR of 2.36 (95% CI 1.22, 4.62) compared to age group 19–24 years.
• Age group 40–44 years had an AOR of 2.50 (95% CI 1.20, 5.16) compared to age group 19–24 years.
• These associations were identified through multivariable logistic regression adjusting for age, gender, BMI, residence location, diabetes status, and waist circumference.

Pre-obesity (BMI 25.0–29.0) was associated with a 78% higher likelihood of hypertension compared to normal BMI.

• AOR for pre-obesity versus normal BMI was 1.78 (95% CI 1.21, 2.62).
• This association was identified in multivariable logistic regression analysis.
• Pre-obesity was defined as BMI between 25.0 and 29.0 kg/m².

A unit increase in waist circumference was associated with a 6% increase in the likelihood of hypertension.

• AOR for a one-unit increase in waist circumference was 1.06 (95% CI 1.01, 1.11).
• Waist circumference was measured as part of the physical examination during annual medical check-ups.
• This finding was derived from multivariable logistic regression analysis.