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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
  • 6,804 View
  • 136 Download
  • 18 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

Citations to this article as recorded by  
  • Self-Reported Hypertension and Associated Factors Among Adults in Butambala District, Central Uganda: A Community-Based Prevalence Study
    Alex Kato, Winnie Kibone, Jerom Okot, Joseph Baruch Baluku, Felix Bongomin
    Integrated Blood Pressure Control.2023; Volume 16: 71.     CrossRef
  • Validity of self‐reported hypertension and related factors in the adult population: Preliminary results from the cohort in the west of Iran
    Negar Piri, Yousef Moradi, Reza Ghanei Gheshlagh, Mahsa Abdullahi, Eghbal Fattahi, Farhad Moradpour
    The Journal of Clinical Hypertension.2023; 25(2): 146.     CrossRef
  • Sex-Specific Contributions of Alcohol and Hypertension on Everyday Cognition in Middle-Aged and Older Adults
    Madison Musich, Amy N. Costa, Victoria Salathe, Mary Beth Miller, Ashley F. Curtis
    Journal of Women's Health.2023; 32(10): 1086.     CrossRef
  • National and regional prevalence rates of hypertension in Saudi Arabia: A descriptive analysis using the national survey data
    Aqeel M. Alenazi, Bader A. Alqahtani
    Frontiers in Public Health.2023;[Epub]     CrossRef
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    Journal of Psychosomatic Research.2023; 165: 111128.     CrossRef
  • Understanding Cognitive Deficits in People with High Blood Pressure
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    Journal of Personalized Medicine.2023; 13(11): 1592.     CrossRef
  • Validity of self-reported hypertension and associated factors among Vietnamese adults: a cross-sectional study
    Hoang Thi Hai Van, Dang Thi Huong, Tran Ngoc Anh
    Blood Pressure.2023;[Epub]     CrossRef
  • Validity of self‐reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years
    Mrigesh Bhatia, Priyanka Dixit, Manish Kumar, Laxmi Kant Dwivedi
    The Journal of Clinical Hypertension.2022; 24(11): 1506.     CrossRef
  • Socioeconomic inequalities in prevalence, awareness, treatment and control of hypertension: evidence from the PERSIAN cohort study
    Mahin Amini, Mahdi Moradinazar, Fatemeh Rajati, Moslem Soofi, Sadaf G. Sepanlou, Hossein Poustchi, Sareh Eghtesad, Mahmood Moosazadeh, Javad Harooni, Javad Aghazadeh-Attari, Majid Fallahi, Mohammad Reza Fattahi, Alireza Ansari-Moghaddam, Farhad Moradpour,
    BMC Public Health.2022;[Epub]     CrossRef
  • Barriers to effective hypertension management in rural Bihar, India: A cross-sectional, linked supply- and demand-side study
    Michael A. Peters, Olakunle Alonge, Anbrasi Edward, Yvonne Commodore-Mensah, Japneet Kaur, Navneet Kumar, Krishna D. Rao, Roopa Shivashankar
    PLOS Global Public Health.2022; 2(10): e0000513.     CrossRef
  • Risk factors, ethnicity and dementia: A UK Biobank prospective cohort study of White, South Asian and Black participants
    Naaheed Mukadam, Louise Marston, Gemma Lewis, Gill Livingston, Gyaneshwer Chaubey
    PLOS ONE.2022; 17(10): e0275309.     CrossRef
  • Maternal perinatal hypertensive disorders and parenting in infancy
    Lindsay Huffhines, Margaret H. Bublitz, Jesse L. Coe, Ronald Seifer, Stephanie H. Parade
    Infant Behavior and Development.2022; 69: 101781.     CrossRef
  • Determinants of self-reported hypertension among women in South Africa: evidence from the population-based survey
    Peter Austin Morton Ntenda, Walaa Mamdouh Reyad El-Meidany, Fentanesh Nibret Tiruneh, Mfundi President Sebenele Motsa, Joyce Nyirongo, Gowokani Chijere Chirwa, Arnold Kapachika, Owen Nkoka
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Identifying factors associated with of blood pressure using Structural Equation Modeling: evidence from a large Kurdish cohort study in Iran
    Farid Najafi, Mehdi Moradinazar, Shahab Rezayan, Reza Azarpazhooh, Parastoo Jamshidi
    BMC Endocrine Disorders.2022;[Epub]     CrossRef
  • Examining elevated blood pressure and the effects of diabetes self-management education on blood pressure among a sample of Marshallese with type 2 diabetes in Arkansas
    Pearl A. McElfish, Christopher R. Long, Zoran Bursac, Aaron J. Scott, Harish E. Chatrathi, Ka‘imi A. Sinclair, Nirav Nagarsheth, Mikaila Calcagni, Jay Patolia, Marie-Rachelle Narcisse, Solveig A. Cunningham
    PLOS ONE.2021; 16(4): e0250489.     CrossRef
  • Food insecurity and hypertension: A systematic review and meta-analysis
    Sourik Beltrán, Marissa Pharel, Canada T. Montgomery, Itzel J. López-Hinojosa, Daniel J. Arenas, Horace M. DeLisser, Ronpichai Chokesuwattanaskul
    PLOS ONE.2020; 15(11): e0241628.     CrossRef
  • Treatment of amphetamine abuse/use disorder: a systematic review of a recent health concern
    Mansour Khoramizadeh, Mohammad Effatpanah, Alireza Mostaghimi, Mehdi Rezaei, Alireza Mahjoub, Sara Shishehgar
    DARU Journal of Pharmaceutical Sciences.2019; 27(2): 743.     CrossRef
  • Racial/Ethnic Differences in Cardiometabolic Risk in a Community Sample of Sexual Minority Women
    Billy A. Caceres, Cindy B. Veldhuis, Tonda L. Hughes
    Health Equity.2019; 3(1): 350.     CrossRef
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
  • 6,540 View
  • 176 Download
  • 14 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

Citations to this article as recorded by  
  • Worse becomes the worst: obesity inequality, its determinants and policy options in Iran
    Fatemeh Toorang, Parisa Amiri, Abolghassem Djazayery, Hamed Pouraram, Amirhossein Takian
    Frontiers in Public Health.2024;[Epub]     CrossRef
  • Socioeconomic inequality and urban-rural disparity of antenatal care visits in Bangladesh: A trend and decomposition analysis
    Biplab Biswas, Nishith Kumar, Md. Matiur Rahaman, Sukanta Das, Md. Aminul Hoque, Benojir Ahammed
    PLOS ONE.2024; 19(3): e0301106.     CrossRef
  • Measurement and Decomposition of Socioeconomic Inequality in Metabolic Syndrome: A Cross-sectional Analysis of the RaNCD Cohort Study in the West of Iran
    Moslem Soofi, Farid Najafi, Shahin Soltani, Behzad Karamimatin
    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
    Behnaz Abiri, Amirhossein Ramezani Ahmadi, Shirin Amini, Mojtaba Akbari, Farhad Hosseinpanah, Seyed Ataollah Madinehzad, Mahdi Hejazi, Amirreza Pouladi Rishehri, Alvand Naserghandi, Majid Valizadeh
    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
    Samira Arbabi Jam, Shahab Rezaeian, Farid Najafi, Behrooz Hamzeh, Ebrahim Shakiba, Mehdi Moradinazar, Mitra Darbandi, Fatemeh Hichi, Sareh Eghtesad, Yahya Pasdar
    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
    Jinpeng Xu, Guomei Tian, Ting Zhang, Hongyu Zhang, Jian Liu, Qi Shi, Jiale Sun, Haixin Wang, Bokai Zhang, Qunhong Wu, Zheng Kang
    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
    Mehdi Moradinazar, Farid Najafi, Yahya Pasdar, Behrooz Hamzeh, Ebrahim Shakiba, Mary Kathryn Bohn, Khosrow Adeli, Zohreh Rahimi
    International Journal of Laboratory Hematology.2021; 43(2): 199.     CrossRef
  • Socioeconomic - related inequalities in overweight and obesity: findings from the PERSIAN cohort study
    Farid Najafi, Shahin Soltani, Behzad Karami Matin, Ali Kazemi Karyani, Satar Rezaei, Moslem Soofi, Yahya Salimi, Mehdi Moradinazar, Mohammad Hajizadeh, Loghman Barzegar, Yahya Pasdar, Behrooz Hamzeh, Ali Akbar Haghdoost, Reza Malekzadeh, Hossein Poustchi,
    BMC Public Health.2020;[Epub]     CrossRef
  • Association of all forms of malnutrition and socioeconomic status, educational level and ethnicity in Colombian children and non-pregnant women
    Gustavo Cediel, Eliana Perez, Diego Gaitán, Olga L Sarmiento, Laura Gonzalez
    Public Health Nutrition.2020; 23(S1): s51.     CrossRef
  • Türkiye’de Kadınlarda Obezite Üzerine Sosyoekonomik Faktörlerin Etkisi ve Gelir Eşitsizliği
    Banu BEYAZ SİPAHİ
    Gaziantep University Journal of Social Sciences.2020;[Epub]     CrossRef
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    Lívia Madeira Triaca, Anderson Moreira Aristides dos Santos, Cesar Augusto Oviedo Tejada
    Economics & Human Biology.2020; 39: 100906.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health