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Behrooz Hamzeh 2 Articles
Validity of Self-reported Hypertension and Factors Related to Discordance Between Self-reported and Objectively Measured Hypertension: Evidence From a Cohort Study in Iran
Farid Najafi, Yahya Pasdar, Ebrahim Shakiba, Behrooz Hamzeh, Mitra Darbandi, Mehdi Moradinazar, Jafar Navabi, Bita Anvari, Mohammad Reza Saidi, Shahrzad Bazargan-Hejazi
J Prev Med Public Health. 2019;52(2):131-139.   Published online March 29, 2019
DOI: https://doi.org/10.3961/jpmph.18.257
  • 7,446 View
  • 137 Download
  • 21 Crossref
AbstractAbstract PDF
Objectives
Self-reporting can be used to determine the incidence and prevalence of hypertension (HTN). The present study was conducted to determine the validity of self-reported HTN and to identify factors affecting discordance between self-reported and objectively measured HTN in participants in the Ravansar Non-Communicable Diseases (RaNCD) cohort.
Methods
The RaNCD cohort included permanent residents of Ravansar, Iran aged 35-65 years. Self-reported data were collected before clinical examinations were conducted by well-trained staff members. The gold standard for HTN was anti-hypertensive medication use and blood pressure measurements. The sensitivity, specificity, positive and negative predictive values, and overall accuracy of self-reporting were calculated. Univariate and multivariate logistic regression were used to examine the discordance between self-reported HTN and the gold standard.
Results
Of the 10 065 participants in the RaNCD, 4755 (47.4%) were male. The prevalence of HTN was 16.8% based on self-reporting and 15.7% based on medical history and HTN measurements. Of the participants with HTN, 297 (18.8%) had no knowledge of their disease, and 313 (19.9%) had not properly controlled their HTN despite receiving treatment. The sensitivity, specificity, and kappa for self-reported HTN were 75.5%, 96.4%, and 73.4%, respectively. False positives became more likely with age, body mass index (BMI), low socioeconomic status, and female sex, whereas false negatives became more likely with age, BMI, high socioeconomic status, smoking, and urban residency.
Conclusions
The sensitivity and specificity of self-reported HTN were acceptable, suggesting that this method can be used for public health initiatives in the absence of countrywide HTN control and detection programs.
Summary

Citations

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  • An Examination of the Agreement between Self-reported Diabetes and Paraclinical Tests, Medical Records, and Clinical Examinations: Insights from the Shahedieh Cohort Study, Yazd, Iran
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  • Validity of self-reported hypertension and associated factors among Vietnamese adults: a cross-sectional study
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  • Validity of self‐reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years
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  • Barriers to effective hypertension management in rural Bihar, India: A cross-sectional, linked supply- and demand-side study
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  • Maternal perinatal hypertensive disorders and parenting in infancy
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    Infant Behavior and Development.2022; 69: 101781.     CrossRef
  • Determinants of self-reported hypertension among women in South Africa: evidence from the population-based survey
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  • Identifying factors associated with of blood pressure using Structural Equation Modeling: evidence from a large Kurdish cohort study in Iran
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    PLOS ONE.2020; 15(11): e0241628.     CrossRef
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    DARU Journal of Pharmaceutical Sciences.2019; 27(2): 743.     CrossRef
  • Racial/Ethnic Differences in Cardiometabolic Risk in a Community Sample of Sexual Minority Women
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Measuring and Decomposing Socioeconomic Inequalities in Adult Obesity in Western Iran
Farid Najafi, Yahya Pasdar, Behrooz Hamzeh, Satar Rezaei, Mehdi Moradi Nazar, Moslem Soofi
J Prev Med Public Health. 2018;51(6):289-297.   Published online October 29, 2018
DOI: https://doi.org/10.3961/jpmph.18.062
  • 7,072 View
  • 179 Download
  • 16 Crossref
AbstractAbstract PDF
Objectives
Obesity is a considerable and growing public health concern worldwide. The present study aimed to quantify socioeconomic inequalities in adult obesity in western Iran.
Methods
A total of 10 086 participants, aged 35-65 years, from the Ravansar Non-communicable Disease Cohort Study (2014-2016) were included in the study to examine socioeconomic inequalities in obesity. We defined obesity as a body mass index ≥30 kg/m2 . The concentration index and concentration curve were used to illustrate and measure wealth-related inequality in obesity. Additionally, we decomposed the concentration index to identify factors that explained wealth-related inequality in obesity.
Results
Overall, the prevalence of obesity in the total sample was 26.7%. The concentration index of obesity was 0.04; indicating that obesity was more concentrated among the rich (p<0.001). Decomposition analysis indicated that wealth, place of residence, and marital status were the main contributors to the observed inequality in obesity.
Conclusions
Socioeconomic-related inequalities in obesity among adults warrant more attention. Policies should be designed to reduce both the prevalence of obesity and inequalities in obesity by focusing on those with higher socioeconomic status, urban residents, and married individuals.
Summary

Citations

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    Frontiers in Public Health.2024;[Epub]     CrossRef
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    Diseases.2024; 12(7): 146.     CrossRef
  • Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran
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    Journal of Preventive Medicine and Public Health.2023; 56(1): 50.     CrossRef
  • Prevalence of overweight and obesity among Iranian population: a systematic review and meta-analysis
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    Journal of Health, Population and Nutrition.2023;[Epub]     CrossRef
  • Association of a pro-inflammatory diet with type 2 diabetes and hypertension: results from the Ravansar non-communicable diseases cohort study
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    Archives of Public Health.2022;[Epub]     CrossRef
  • Decomposition of Socioeconomic Inequality in Cardiovascular Disease Prevalence in the Adult Population: A Cohort-based Cross-sectional Study in Northwest Iran
    Farhad Pourfarzi, Telma Zahirian Moghadam, Hamed Zandian
    Journal of Preventive Medicine and Public Health.2022; 55(3): 297.     CrossRef
  • The socio-economic inequality in body mass index: a PERSIAN cohort-based cross-sectional study on 20,000 Iranian adults
    Farhad Pourfarzi, Satar Rezaei, Telma Zahirian Moghadam, Hamed Zandian, Foad Dibazar
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Assessing the income-related inequality in obesity among the elderly in China: A decomposition analysis
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    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Socioeconomic disparities in using rehabilitation services among Iranian adults with disabilities: a decomposition analysis
    Shahin Soltani, Marzieh Mohammadi Moghadam, Shiva Amani, Shahram Akbari, Amir Shiani, Moslem Soofi
    BMC Health Services Research.2022;[Epub]     CrossRef
  • Establishing hematological reference intervals in healthy adults: Ravansar non‐communicable disease cohort study, Iran
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    International Journal of Laboratory Hematology.2021; 43(2): 199.     CrossRef
  • Socioeconomic - related inequalities in overweight and obesity: findings from the PERSIAN cohort study
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  • Association of all forms of malnutrition and socioeconomic status, educational level and ethnicity in Colombian children and non-pregnant women
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    Public Health Nutrition.2020; 23(S1): s51.     CrossRef
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  • Socioeconomic inequalities in obesity in Brazil
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    Economics & Human Biology.2020; 39: 100906.     CrossRef

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