Roy Arokiam Daniel1, Partha Haldar2, Shashi Kant1, Anand Krishnan1, Rakesh Kumar1, Sanjeev Kumar Gupta1. 1. Center for Community Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India. 2. Center for Community Medicine, All India Institute of Medical Sciences (AIIMS), New Delhi, 110029, India. parthahaldar@outlook.com.
Abstract
OBJECTIVE: To estimate the prevalence and determinants of hypertension among adolescents in a rural area in North India. METHODS: This was a cross-sectional study conducted among community-dwelling adolescents (10-19 y) and defined blood pressure as per the National High Blood Pressure Education Program (NHBPEP) and American Academy of Pediatrics (AAP) 2017 criteria. A pretested, semistructured questionnaire was used to elicit sociodemographic details and risk factors of hypertension. Association of factors with hypertension, z scores of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed by logistic and linear regression. In multivariable regression model, for both logistic and linear regression, variables with p value < 0.2 were included, excluding collinear variables. RESULTS: Eight hundred sixty-four adolescents participated with mean (SD) age, BMI of 14.0 ± 2.6 y, 18.3 ± 3.5 kg/m2. Hypertension prevalence was 22.5% (95% CI: 19.7, 25.5) as per AAP and 15.2% (95% CI: 12.9, 17.8) as per NHBPEP criteria. Being hypertensive as per the AAP was associated with family history of noncommunicable disease (NCD) (adjusted odds ratio, AOR 1.80, 95% CI: 1.11, 2.86) and BMI (AOR = 1.09, 95% CI: 1.04, 1.14), and as per the NHBPEP, was only associated with BMI (AOR = 1.11, 95% CI: 1.05, 1.17). SBP z score was significantly associated with male sex (adjusted beta coefficient AC = 0.79, 95% CI: 0.69, 0.90), and weight z scores (AC = 2.00, 95% CI: 1.22, 3.28); DBP z score was significantly associated with z scores of height (AC = 0.70, 95% CI: 0.51, 0.96) and waist (AC = 1.15, 95% CI: 1.02, 1.30). CONCLUSION: The prevalence of hypertension among adolescents was high and was associated with BMI and family history of NCD.
OBJECTIVE: To estimate the prevalence and determinants of hypertension among adolescents in a rural area in North India. METHODS: This was a cross-sectional study conducted among community-dwelling adolescents (10-19 y) and defined blood pressure as per the National High Blood Pressure Education Program (NHBPEP) and American Academy of Pediatrics (AAP) 2017 criteria. A pretested, semistructured questionnaire was used to elicit sociodemographic details and risk factors of hypertension. Association of factors with hypertension, z scores of systolic blood pressure (SBP) and diastolic blood pressure (DBP) were assessed by logistic and linear regression. In multivariable regression model, for both logistic and linear regression, variables with p value < 0.2 were included, excluding collinear variables. RESULTS: Eight hundred sixty-four adolescents participated with mean (SD) age, BMI of 14.0 ± 2.6 y, 18.3 ± 3.5 kg/m2. Hypertension prevalence was 22.5% (95% CI: 19.7, 25.5) as per AAP and 15.2% (95% CI: 12.9, 17.8) as per NHBPEP criteria. Being hypertensive as per the AAP was associated with family history of noncommunicable disease (NCD) (adjusted odds ratio, AOR 1.80, 95% CI: 1.11, 2.86) and BMI (AOR = 1.09, 95% CI: 1.04, 1.14), and as per the NHBPEP, was only associated with BMI (AOR = 1.11, 95% CI: 1.05, 1.17). SBP z score was significantly associated with male sex (adjusted beta coefficient AC = 0.79, 95% CI: 0.69, 0.90), and weight z scores (AC = 2.00, 95% CI: 1.22, 3.28); DBP z score was significantly associated with z scores of height (AC = 0.70, 95% CI: 0.51, 0.96) and waist (AC = 1.15, 95% CI: 1.02, 1.30). CONCLUSION: The prevalence of hypertension among adolescents was high and was associated with BMI and family history of NCD.
Authors: Kvetoslava Rimárová; Erik Dorko; Jana Diabelková; Zlatana Sulinová; Katarina Frank; Jana Baková; Tomáš Uhrin; Pavol Makovický; Nikola Pelechová; Nika Konrádyová Journal: Cent Eur J Public Health Date: 2018-12 Impact factor: 1.163