Literature DB >> 29684292

Elevated blood pressure and its predictors among secondary school students in Sarawak: a cross-sectional study.

Woei Feng Grace Kho1, Whye Lian Cheah1, Helmy Hazmi1.   

Abstract

OBJECTIVES: Hypertension is a health issue affecting adolescents. Accumulating evidence affirms that elevated blood pressure begins in childhood and tracks into adulthood. This cross-sectional study was conducted to determine the prevalence of elevated blood pressure and its predictors among secondary school students in Sarawak, Malaysia.
METHODS: A total of 2,461 secondary school students aged 12-17 years from 19 schools in Sarawak participated in the study. Questionnaire was used to obtain socio-demographic data, parental history of hypertension, and self-reported physical activity. Anthropometric and blood pressure measurements were taken. Data was entered and analysed using SPSS version 23.0.
RESULTS: The prevalence of adolescents with elevated blood pressure, overweight, central obesity, and overfat were 30.1%, 24.3%, 13.5%, and 6.7%, respectively. Multivariate logistic regression demonstrated the predictors significantly associated with elevated blood pressure among respondents: overweight (adjusted odds ratio=3.144), being male (adjusted odds ratio=3.073), being Chinese (adjusted odds ratio=2.321) or Iban (adjusted odds ratio=1.578), central obesity (adjusted odds ratio=2.145), being overfat (adjusted odds ratio=1.885), and being an older adolescent (adjusted odds ratio=1.109). Parental history of hypertension, locality, and physical activity showed no significant associations.
CONCLUSION: The obesity epidemic must be tackled at community and school levels by health education and regulation of school canteen foods. Copyright© by the National Institute of Public Health, Prague 2018.

Entities:  

Keywords:  Malaysia; Sarawak; adolescent; age; elevated blood pressure; ethnic; gender; hypertension; locality; obesity; parental history of hypertension; physical activity; predictors; prevalence; risk factors; rural; urban

Mesh:

Year:  2018        PMID: 29684292     DOI: 10.21101/cejph.a5186

Source DB:  PubMed          Journal:  Cent Eur J Public Health        ISSN: 1210-7778            Impact factor:   1.163


  1 in total

1.  A Multilayer Perceptron Neural Network Model to Classify Hypertension in Adolescents Using Anthropometric Measurements: A Cross-Sectional Study in Sarawak, Malaysia.

Authors:  Soo See Chai; Whye Lian Cheah; Kok Luong Goh; Yee Hui Robin Chang; Kwan Yong Sim; Kim On Chin
Journal:  Comput Math Methods Med       Date:  2021-12-07       Impact factor: 2.238

  1 in total

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