How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages?
Abstract Background and Aims Hypertension is the leading preventable risk factor for cardiovascular disease, chronic kidney disease and cognitive impairment, and mortality and disability worldwide. Since prevention, early detection, and treatment of blood pressure improve public health, the aim of p...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-02-01
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| Series: | Health Science Reports |
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| Online Access: | https://doi.org/10.1002/hsr2.1897 |
| _version_ | 1797221172329316352 |
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| author | Sara Jambarsang Moslem Taheri Soodejani Robert Tate Reyhane Sefidkar |
| author_facet | Sara Jambarsang Moslem Taheri Soodejani Robert Tate Reyhane Sefidkar |
| author_sort | Sara Jambarsang |
| collection | DOAJ |
| description | Abstract Background and Aims Hypertension is the leading preventable risk factor for cardiovascular disease, chronic kidney disease and cognitive impairment, and mortality and disability worldwide. Since prevention, early detection, and treatment of blood pressure improve public health, the aim of present study was to determine the best obesity indices and estimate the optimal cut‐off point for each one to predict the risk of elevated/stage 1 and undiagnosed hypertension in the population of center of Iran based on American ACC/AHA 2020 guidelines. Methods This cross‐sectional study was performed on 9715 people who enrolled in 2018 in Persian Adult Cohort in Shahedieh area of Yazd, Iran in 2018. The anthropometric indices including body mass index (BMI) and waist circumference (WC), wrist circumference, hip circumference, waist‐to‐hip ratio, and waist‐to height ratio of individuals, were extracted. The receiver operating characteristic curve was utilized to determine the optimum cut‐off point of each anthropometric index to predict hypertension stages and compare their predictive power by age‐sex categories. Statistical analysis was done using SPSS version 23.0. Results The results showed that BMI has the best predictive power to recognize the risk of elevated/stage 1 hypertension for female (area under the curve [AUC] = 0.72 and optimal cut‐off = 30.10 kg/m2) and WC for male (AUC = 0.66 and optimal cut‐off = 93.5 cm) in 35−45 age group. BMI had the best predictive power for the risk of undiagnosed hypertension for 35−45 years old male (AUC = 0.73 and optimal cut‐off = 28.90 kg/m2) and female (AUC = 0.75 and optimal cut‐off = 5.10 kg/m2), and hip circumference revealed similar predictive power for female as well (AUC = 0.75 and optimal cut‐off = 112 cm). Conclusion Based on our findings, BMI and WC, which are simple, inexpensive, and noninvasive means, are the best markers to predict the risk of elevated/stage 1 and undiagnosed hypertension in young Iranians. It shows that the approach of reducing hypertension prevalence through primary prevention, early detection, and enhancing its treatment is achievable. |
| first_indexed | 2024-03-07T19:01:44Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 2398-8835 |
| language | English |
| last_indexed | 2024-04-24T13:01:12Z |
| publishDate | 2024-02-01 |
| publisher | Wiley |
| record_format | Article |
| series | Health Science Reports |
| spelling | doaj.art-cba32460e8924f5c8ed66648cd8331862024-04-05T11:41:32ZengWileyHealth Science Reports2398-88352024-02-0172n/an/a10.1002/hsr2.1897How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages?Sara Jambarsang0Moslem Taheri Soodejani1Robert Tate2Reyhane Sefidkar3Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd IranCenter for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd IranCentre on Aging University of Manitoba Winnipeg CanadaCenter for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology Shahid Sadoughi University of Medical Sciences Yazd IranAbstract Background and Aims Hypertension is the leading preventable risk factor for cardiovascular disease, chronic kidney disease and cognitive impairment, and mortality and disability worldwide. Since prevention, early detection, and treatment of blood pressure improve public health, the aim of present study was to determine the best obesity indices and estimate the optimal cut‐off point for each one to predict the risk of elevated/stage 1 and undiagnosed hypertension in the population of center of Iran based on American ACC/AHA 2020 guidelines. Methods This cross‐sectional study was performed on 9715 people who enrolled in 2018 in Persian Adult Cohort in Shahedieh area of Yazd, Iran in 2018. The anthropometric indices including body mass index (BMI) and waist circumference (WC), wrist circumference, hip circumference, waist‐to‐hip ratio, and waist‐to height ratio of individuals, were extracted. The receiver operating characteristic curve was utilized to determine the optimum cut‐off point of each anthropometric index to predict hypertension stages and compare their predictive power by age‐sex categories. Statistical analysis was done using SPSS version 23.0. Results The results showed that BMI has the best predictive power to recognize the risk of elevated/stage 1 hypertension for female (area under the curve [AUC] = 0.72 and optimal cut‐off = 30.10 kg/m2) and WC for male (AUC = 0.66 and optimal cut‐off = 93.5 cm) in 35−45 age group. BMI had the best predictive power for the risk of undiagnosed hypertension for 35−45 years old male (AUC = 0.73 and optimal cut‐off = 28.90 kg/m2) and female (AUC = 0.75 and optimal cut‐off = 5.10 kg/m2), and hip circumference revealed similar predictive power for female as well (AUC = 0.75 and optimal cut‐off = 112 cm). Conclusion Based on our findings, BMI and WC, which are simple, inexpensive, and noninvasive means, are the best markers to predict the risk of elevated/stage 1 and undiagnosed hypertension in young Iranians. It shows that the approach of reducing hypertension prevalence through primary prevention, early detection, and enhancing its treatment is achievable.https://doi.org/10.1002/hsr2.1897anthropometryhypertensionobesity indicesprimary preventionROC curve |
| spellingShingle | Sara Jambarsang Moslem Taheri Soodejani Robert Tate Reyhane Sefidkar How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? Health Science Reports anthropometry hypertension obesity indices primary prevention ROC curve |
| title | How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? |
| title_full | How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? |
| title_fullStr | How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? |
| title_full_unstemmed | How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? |
| title_short | How well do obesity indices predict undiagnosed hypertension in the Persian cohort (Shahedieh) adults community population of all ages? |
| title_sort | how well do obesity indices predict undiagnosed hypertension in the persian cohort shahedieh adults community population of all ages |
| topic | anthropometry hypertension obesity indices primary prevention ROC curve |
| url | https://doi.org/10.1002/hsr2.1897 |
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