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PHRP : Osong Public Health and Research Perspectives

OPEN ACCESS. pISSN: 2210-9099. eISSN: 2233-6052

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"waist circumference"

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"waist circumference"

Original Articles
Waist Circumference and Spirometric Measurements in Chronic Obstructive Pulmonary Disease
Ali Alavi Foumani, Mohammad Masoud Neyaragh, Zahra Abbasi Ranjbar, Ehsan Kazemnezhad Leyli, Shima Ildari, Alireza Jafari
Osong Public Health Res Perspect 2019;10(4):240-245.
Published online August 31, 2019
DOI: https://doi.org/10.24171/j.phrp.2019.10.4.07
<sec> <title>Objectives</title> <p>The aim of this study was to evaluate whether the waist circumference of patients with chronic obstructive pulmonary disease (COPD), had an impact on lung function.</p></sec> <sec> <title>Methods</title> <p>There were 180 patients with COPD recruited into this prospective cross-sectional study. The age, weight, body mass index and waist circumference (WC) were measured. Spirometry parameters including forced vital capacity (FVC), and forced expiratory volume in the first second (FEV1), were measured and FEV1/FVC calculated.</p></sec> <sec> <title>Results</title> <p>The mean FEV1/FVC in both normal weight and overweight patients, did not statistically significantly correlate with WC. The COPD assessment test, positively correlated with WC ( <italic>p</italic> = 0.031). A positive correlation with body mass index ( <italic>p</italic> < 0.001), smoking ( <italic>p</italic> = 0.027), and global initiative for chronic obstructive lung disease score ( <italic>p</italic> = 0.009), were observed to positively associate with WC. WC, age, C-reactive protein, duration of disease, and gender (male), were observed to be statistically significant risk factors for the severity of COPD.</p></sec> <sec> <title>Conclusion</title> <p>WC was not observed to impact upon lung function in this study but it was a predictive factor for COPD severity in patients.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • The Relationship Between Anthropometric Variables and Lung Function in a Severe Smoking Community Population With Ventilatory Dysfunction
    Tiantian Cen, Zekai Cen, Xuan Chen, Zaichun Deng, Yiming Yu, Shanshan Wang, Hongying Ma
    The Clinical Respiratory Journal.2025;[Epub]     CrossRef
  • Lung function parameters in overweight patients with COPD in relation to body mass index and waist circumference and impact on quality of life
    Zunaira Nawaz, Muhammad Ashraf Jahangir, Zille Huma
    Journal of International Medical Research.2024;[Epub]     CrossRef
  • The role of abdominal obesity in the development of cardiopulmonary disorders in aluminum industry workers
    Egor S. Filimonov, Olga Yu. Korotenko, Evgeniya V. Ulanova
    Hygiene and sanitation.2023; 102(4): 328.     CrossRef
  • A study on the correlation of chronic obstructive pulmonary disease with metabolic syndrome and its components
    Aishee Bhattacharyya, Avas Chandra Roy, Subrata Basu, Krishanko Das
    Journal of Research in Applied and Basic Medical S.2023; 9(4): 243.     CrossRef
  • Blood Levels of Indicators of Lower Respiratory Tract Damage in Chronic Bronchitis in Patients with Abdominal Obesity
    Elena V. Kashtanova, Yana V. Polonskaya, Evgeniia V. Striukova, Liliia V. Shcherbakova, Evgenii A. Kurtukov, Viktoriya S. Shramko, Ekaterina M. Stakhneva, Yulia I. Ragino
    Diagnostics.2022; 12(2): 299.     CrossRef
  • Prevalence of Metabolic Syndrome in Chronic Obstructive Pulmonary Disease and its Correlation with Body Mass Index, Airflow Obstruction, Dyspnea, and Exercise Index and C-Reactive Protein
    D. Suresh Kumar, Richard Samuel, Viola Savy DSouza, Madhu Keshava Bangera
    Indian Journal of Respiratory Care.2022; 11(4): 314.     CrossRef
  • Prevalence of chronic bronchitis against a background of abdominal obesity in young people aged 25–44 in Novosibirsk
    Yu. I. Ragino, E. A. Kurtukov, D. V. Denisova, Ya. V. Polonskaya, L. V. Shcherbakova
    Bulletin of Siberian Medicine.2021; 20(1): 105.     CrossRef
  • Abdominal obesity and the level of markers of lower respiratory tract damage in patients with chronic bronchitis
    E.V. Kashtanova, Ya.V. Polonskaya, L.V. Scherbakova, I.I. Logvinenko, E.F. Kurtukov, D.V. Denisova, Yu.I. Ragino
    Profilakticheskaya meditsina.2021; 24(5): 35.     CrossRef
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Comparison of Hypertension Prediction Analysis Using Waist Measurement and Body Mass Index by Age Group
So Hyun Park, Seong-Gil Kim
Osong Public Health Res Perspect 2018;9(2):45-49.
Published online April 30, 2018
DOI: https://doi.org/10.24171/j.phrp.2018.9.2.02
<sec> <title>Objectives</title> <p>The purpose of this study was to evaluate hypertension with simple anthropometry data related to obesity in Korean adults and identify whether age specific waist circumference (WC) may be a useful screening tool for determining hypertension.</p></sec> <sec> <title>Methods</title> <p>Subjects (<italic>n</italic> = 571) were classified into 3 groups by age; young (18–39 years), middle aged (40–64 years), and old aged (≥ 65 years). Correlations between demographic and anthropometric parameters and hypertension were performed using Spearman correlation analysis. Logistic regression analysis and ROC (receiver operating characteristics) curves were also analyzed for correlations with hypertension.</p></sec> <sec> <title>Results</title> <p>Spearman correlation analyses, age, gender, WC, and body mass index were positively correlated with hypertension. When logistic regression analysis was performed, increased age and increased WC was associated with a higher incidence of hypertension, although gender and body mass index were not significantly related to hypertension. In ROC analysis of WC for hypertension demonstrated that patients in the old age group showed higher WC cutoff value than patients in the young and middle aged groups.</p></sec> <sec> <title>Conclusion</title> <p>The findings of this study demonstrate that WC may be a useful predictor of hypertension incidence among demographic and anthropometric factors in Korean adults. In addition, WC in the young population was more sensitive to the incidence of hypertension than in the elderly population.</p></sec>

Citations

Citations to this article as recorded by  Crossref logo
  • Body Mass Index and Waist Circumference Associations with Blood Pressure
    Bea Uljannatun Putri Fisis Paramanandi, Sri Lestari Utami, Jimmy Hadi Widjaja, Febtarini Rahmawati
    Academia Open.2026;[Epub]     CrossRef
  • The accuracy of anthropometric indices in detecting hypertension in Sudanese adults: a cross-sectional study
    Imad R. Musa, Osman E. Osman, Ahmed M. Khair, Ishag Adam
    BMC Public Health.2025;[Epub]     CrossRef
  • A hybrid machine learning approach for hypertension risk prediction
    Min Fang, Yingru Chen, Rui Xue, Huihui Wang, Nilesh Chakraborty, Ting Su, Yuyan Dai
    Neural Computing and Applications.2023; 35(20): 14487.     CrossRef
  • Relationship between Cardiometabolic Factors and the Response of Blood Pressure to a One-Year Primary Care Lifestyle Intervention in Metabolic Syndrome Patients
    Elisa Marin-Couture, Marie-Josée Filion, Ryma Boukari, Khursheed Jeejeebhoy, Rupinder Dhaliwal, Paula Brauer, Dawna Royall, David M. Mutch, Doug Klein, Angelo Tremblay, Caroline Rhéaume
    Metabolites.2022; 12(9): 861.     CrossRef
  • The Role of Lifestyle Factors in Controlling Blood Pressure among Hypertensive Patients in Two Health Facilities in Urban Ghana: A Cross-Sectional Study
    Emefa Modey Amoah, Darlene Esinam Okai, Adom Manu, Amos Laar, Joseph Akamah, Kwasi Torpey
    International Journal of Hypertension.2020; 2020: 1.     CrossRef
  • Obesity and hypertension: the role of criteria
    D P Tsygankova, K E Krivoshapova, S A Maksimov, E V Indukaeva, E B Shapovalova, G V Artamonova, O L Barbarash
    Systemic Hypertension.2019; 16(1): 32.     CrossRef
  • Watch Your Waistline
    Hae-Wol Cho, Chaeshin Chu
    Osong Public Health and Research Perspectives.2018; 9(2): 43.     CrossRef
  • 8,318 View
  • 118 Download
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