A hypertension risk score for adults: a population-based cross-sectional study from Dubai Household Survey 2019
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OBJECTIVES: The aim of this study was to develop a risk score model for predicting hypertension specific to the population of Dubai in the United Arab Emirates (UAE) to facilitate prevention and early intervention. METHODS: A retrospective analysis of data from the Dubai Household Health Survey 2019 was conducted. Demographic and physical parameters, as well as blood glucose levels, were included in the data. The risk factors for hypertension were identified using bivariate analysis. A risk score model was developed using the enter method, where all significant predictors of hypertension in bivariate analyses were entered in a single step with the primary outcome of hypertension status (yes/no). The model was validated internally by splitting the data into Emirati and non-Emirati populations. RESULTS: A total of 2,533 subjects were studied. The significant risk factors for hypertension identified were male sex, older age (≥ 40 years), education level, body mass index, diabetes mellitus, and dyslipidaemia. The model showed a high discrimination ability between individuals with and without hypertension, with an area under the curve of 0.77 (95% confidence interval [CI], 0.75 to 0.79), excellent sensitivity (81.0%; 95% CI, 71.9 to 88.2) and moderate specificity (56.0%; 95% CI, 45.7 to 65.9). CONCLUSIONS: The model developed by this study is simple, convenient, and based on readily available demographic and medical characteristics. This risk score model could support initial hypertension screening and provide an effective tool for targeted lifestyle counselling and prevention programs.
Abstract
OBJECTIVES: The aim of this study was to develop a risk score model for predicting hypertension specific to the population of Dubai in the United Arab Emirates (UAE) to facilitate prevention and early intervention. METHODS: A retrospective analysis of data from the Dubai Household Health Survey 2019 was conducted. Demographic and physical parameters, as well as blood glucose levels, were included in the data. The risk factors for hypertension were identified using bivariate analysis. A risk score model was developed using the enter method, where all significant predictors of hypertension in bivariate analyses were entered in a single step with the primary outcome of hypertension status (yes/no). The model was validated internally by splitting the data into Emirati and non-Emirati populations. RESULTS: A total of 2,533 subjects were studied. The significant risk factors for hypertension identified were male sex, older age (≥ 40 years), education level, body mass index, diabetes mellitus, and dyslipidaemia. The model showed a high discrimination ability between individuals with and without hypertension, with an area under the curve of 0.77 (95% confidence interval [CI], 0.75 to 0.79), excellent sensitivity (81.0%; 95% CI, 71.9 to 88.2) and moderate specificity (56.0%; 95% CI, 45.7 to 65.9). CONCLUSIONS: The model developed by this study is simple, convenient, and based on readily available demographic and medical characteristics. This risk score model could support initial hypertension screening and provide an effective tool for targeted lifestyle counselling and prevention programs.
참고문헌 (27)
- "Hypertension"[URL]
- Constant AF, "Hypertension and cardiovascular disease", pp.351~359 (2016), Springer
- Mahmoud I, "Dyslipidaemia prevalence and associated risk factors in the United Arab Emirates : a population-based study", BMJ Open, 9, pp.e031969~ (2019)
- Shah SM, "Hypertension prevalence, awareness, treatment, and control, in male South Asian immigrants in the United Arab Emirates : a cross-sectional study", BMC Cardiovasc Disord, 15, pp.30~ (2015)
- Abdulle AM, "Under-treatment and under diagnosis of hypertension : a serious problem in the United Arab Emirates", BMC Cardiovasc Disord, 6, pp.24~ (2006)
- Sulaiman N, "Diabetes risk score in the United Arab Emirates : a screening tool for the early detection of type 2 diabetes mellitus", BMJ Open Diabetes Res Care, 6, pp.e000489~ (2018)
- Rajan PB, "The growing problem of obesity in the UAE", Academicus ISJ, 9, pp.106~113 (2018)
- Hinton TC, "Investigation and treatment of high blood pressure in young people: too much medicine or appropriate risk reduction?", Hypertension, 75, pp.16~22 (2020)
- Carey RM, "Prevention and control of hypertension : JACC Health Promotion Series", J Am Coll Cardiol, 72, pp.1278~1293 (2018)
- Saptharishi L, "Community-based randomized controlled trial of non-pharmacological interventions in prevention and control of hypertension among young adults", Indian J Community Med, 34, pp.329~334 (2009)
- Paynter NP, "Prediction of incident hypertension risk in women with currently normal blood pressure", Am J Med, 122, pp.464~471 (2009)
- Lim NK, "Predicting the risk of incident hypertension in a Korean middle-aged population:Korean genome and epidemiology study", J Clin Hypertens(Greenwich), 15, pp.344~349 (2013)
- Kshirsagar AV, "A hypertension risk score for middle-aged and older adults", J Clin Hypertens(Greenwich), 12, pp.800~808 (2010)
- Parikh NI, "A risk score for predicting near-term incidence of hypertension : the Framingham Heart Study", Ann Intern Med, 148, pp.102~110 (2008)
- Chien KL, "Prediction models for the risk of new-onset hypertension in ethnic Chinese in Taiwan", J Hum Hypertens, 25, pp.294~303 (2011)
- Kivimäki M, "Validating the Framingham hypertension risk score : results from the Whitehall II study", Hypertension, 54, pp.496~501 (2009)
- Alegría-Torres JA, "Epigenetics and lifestyle", Epigenomics, 3, pp.267~277 (2011)
- "Physical activity" (2020)[URL]
- "Arterial hypertension clinical practice guidelines (2018)"[URL]
- "Use of glycated haemoglobin (HbA1c)in diagnosis of diabetes mellitus: abbreviated report of a WHO consultation" (2011)[URL]
- Ibekwe R, "Modifiable risk factors of hypertension and socio-demographic profile in Oghara, Delta State; prevalence and correlates", Ann Med Health Sci Res, 5, pp.71~77 (2015)
- Kingue S, "Prevalence and risk factors of hypertension in urban areas of Cameroon: a nationwide population-based cross-sectional study", J Clin Hypertens(Greenwich), 17, pp.819~824 (2015)
- Kilpi F, "Alarming predictions for obesity and non-communicable diseases in the Middle East", Public Health Nutr, 17, pp.1078~1086 (2014)
- Pandit AU, "Education, literacy, and health : mediating effects on hypertension knowledge and control", Patient Educ Couns, 75, pp.381~385 (2009)
- Gee ME, "Prevalence of, and barriers to, preventive lifestyle behaviors in hypertension(from a national survey of Canadians with hypertension)", Am J Cardiol, 109, pp.570~575 (2012)
- Wu J, "Prevalence and distribution of hypertension and related risk factors in Jilin Prov-ince, China 2015 : a cross-sectional study", BMJ Open, 8, pp.e020126~ (2018)
- Khan RJ, "A cross-sectional study of the prevalence and risk factors for hypertension in rural Nepali women", BMC Public Health, 13, pp.55~ (2013)