1
|
Ahmadi MN, Blodgett JM, Atkin AJ, Chan HW, Del Pozo Cruz B, Suorsa K, Bakker EA, Pulsford RM, Mielke GI, Johansson PJ, Hettiarachchi P, Thijssen DHJ, Stenholm S, Mishra GD, Teixeira-Pinot A, Rangul V, Sherar LB, Ekelund U, Hughes AD, Lee IM, Holtermann A, Koster A, Hamer M, Stamatakis E. Relationship of device measured physical activity type and posture with cardiometabolic health markers: pooled dose-response associations from the Prospective Physical Activity, Sitting and Sleep Consortium. Diabetologia 2024; 67:1051-1065. [PMID: 38478050 PMCID: PMC11058050 DOI: 10.1007/s00125-024-06090-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 12/04/2023] [Indexed: 04/30/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to examine the dose-response associations of device-measured physical activity types and postures (sitting and standing time) with cardiometabolic health. METHODS We conducted an individual participant harmonised meta-analysis of 12,095 adults (mean ± SD age 54.5±9.6 years; female participants 54.8%) from six cohorts with thigh-worn accelerometry data from the Prospective Physical Activity, Sitting and Sleep (ProPASS) Consortium. Associations of daily walking, stair climbing, running, standing and sitting time with a composite cardiometabolic health score (based on standardised z scores) and individual cardiometabolic markers (BMI, waist circumference, triglycerides, HDL-cholesterol, HbA1c and total cholesterol) were examined cross-sectionally using generalised linear modelling and cubic splines. RESULTS We observed more favourable composite cardiometabolic health (i.e. z score <0) with approximately 64 min/day walking (z score [95% CI] -0.14 [-0.25, -0.02]) and 5 min/day stair climbing (-0.14 [-0.24, -0.03]). We observed an equivalent magnitude of association at 2.6 h/day standing. Any amount of running was associated with better composite cardiometabolic health. We did not observe an upper limit to the magnitude of the dose-response associations for any activity type or standing. There was an inverse dose-response association between sitting time and composite cardiometabolic health that became markedly less favourable when daily durations exceeded 12.1 h/day. Associations for sitting time were no longer significant after excluding participants with prevalent CVD or medication use. The dose-response pattern was generally consistent between activity and posture types and individual cardiometabolic health markers. CONCLUSIONS/INTERPRETATION In this first activity type-specific analysis of device-based physical activity, ~64 min/day of walking and ~5.0 min/day of stair climbing were associated with a favourable cardiometabolic risk profile. The deleterious associations of sitting time were fully attenuated after exclusion of participants with prevalent CVD and medication use. Our findings on cardiometabolic health and durations of different activities of daily living and posture may guide future interventions involving lifestyle modification.
Collapse
Affiliation(s)
- Matthew N Ahmadi
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
| | - Joanna M Blodgett
- Institute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK
| | - Andrew J Atkin
- School of Health Sciences and Norwich Epidemiology Centre, University of East Anglia, Norwich, UK
| | - Hsiu-Wen Chan
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Borja Del Pozo Cruz
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, University of Cádiz, Cádiz, Spain
- Faculty of Education, University of Cádiz, Cádiz, Spain
| | - Kristin Suorsa
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Esmee A Bakker
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain
| | | | - Gregore I Mielke
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Peter J Johansson
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Occupational and Environmental Medicine, Uppsala University Hospital, Uppsala, Sweden
| | - Pasan Hettiarachchi
- Occupational and Environmental Medicine, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dick H J Thijssen
- Department of Medical BioSciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Sari Stenholm
- Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Gita D Mishra
- School of Public Health, The University of Queensland, Brisbane, QLD, Australia
| | - Armando Teixeira-Pinot
- School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| | - Vegar Rangul
- HUNT Research Centre, Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Lauren B Sherar
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Ulf Ekelund
- Department of Sport Medicine, Norwegian School of Sport Sciences, Oslo, Norway
- Department of Chronic Diseases, Norwegian Public Health Institute, Oslo, Norway
| | - Alun D Hughes
- MRC Unit for Lifelong Health and Ageing, UCL Institute of Cardiovascular Science, UCL, London, UK
- UCL BHF Research Accelerator, University College London, London, UK
- University College London Hospitals NIHR Biomedical Research Centre, London, UK
| | - I-Min Lee
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andreas Holtermann
- National Research Centre for the Working Environment, Copenhagen, Denmark
| | - Annemarie Koster
- Department of Social Medicine, CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Mark Hamer
- Institute of Sport, Exercise and Health, Division of Surgery and Interventional Sciences, UCL, London, UK
| | - Emmanuel Stamatakis
- Mackenzie Wearables Research Hub, Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia
- School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia
| |
Collapse
|
2
|
Hu F, Zhou W, Wang T, Yu C, Zhu L, Bao H, Cheng X. Association between six different types of anthropometric indices and arterial stiffness measured by brachial-ankle pulse wave velocity in hypertensive Chinese adults. Heliyon 2024; 10:e28523. [PMID: 38601660 PMCID: PMC11004534 DOI: 10.1016/j.heliyon.2024.e28523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/12/2024] Open
Abstract
Background The associations of body fat parameters with arterial stiffness measured by brachial-ankle pulse wave velocity in hypertensive patients were scarce. Methods This cross-sectional study analyzed 4322 hypertensive adults. The correlations between the anthropometric indexes (body mass index [BMI], waist circumference, waist-tohip ratio [WHR], waist-to-height ratio [WHtR], a body shape index [ABSI], body round index [BRI]) and ba-PWV values were analyzed using multivariable linear regression model. Results In both sex categories, linear regression models showed that BMI levels were inversely related to baPWV (adjusted-β per SD increase in male: -0.51, 95% CI -0.66 to -0.36, P < 0.001; female: -0.50, 95% CI -0.63 to -0.37, P < 0.001). Waist circumference positively correlated with baPWV only in male hypertensive individuals. BaPWV positively correlated to WHR or WHtR levels (adjusted-β per SD increase: 0.32, 95% CI 0.21 to 0.43, P < 0.001; 0.64, 95% CI 0.47 to 0.82, P < 0.001; respectively), ABSI (adjusted-β per SD increase for ABSI × 100: 0.27, 95% CI 0.18 to 0.36, P < 0.001) and BRI (adjusted-β per SD increase: 0.64, 95% CI 0.46 to 0.81, P < 0.001) levels. The relationship between anthropometric indices and arterial stiffness based on baPWV values were also consistent. ABSI had the highest predictive power of arterial stiffness (area under the curve, 0.594; P < 0.001). Conclusion In Chinese adults with hypertension, BMI was inversely related to baPWV, while WHR, WHtR, ABSI and BRI were positively related. Waist circumference positively correlated with baPWV only in male hypertensive individuals.
Collapse
Affiliation(s)
- Feng Hu
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, China
- Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou, 350000, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
| | - Wei Zhou
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Tao Wang
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Chao Yu
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Lingjuan Zhu
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Huihui Bao
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Xiaoshu Cheng
- Department of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, China
- Jiangxi Provincial Cardiovascular Disease Clinical Medical Research Center, Nanchang, Jiangxi, 330006, China
- Jiangxi Sub-center of National Clinical Research Center for Cardiovascular Diseases, Nanchang, Jiangxi, 330006, China
- Center for Prevention and Treatment of Cardiovascular Diseases, the Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| |
Collapse
|
3
|
Kawasoe S, Kubozono T, Salim AA, Ojima S, Yamaguchi S, Ikeda Y, Miyahara H, Tokushige K, Miyata M, Ohishi M. Association between anthropometric indices and 5-year hypertension incidence in the general Japanese population. Hypertens Res 2024; 47:867-876. [PMID: 37964069 DOI: 10.1038/s41440-023-01505-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/17/2023] [Accepted: 10/20/2023] [Indexed: 11/16/2023]
Abstract
No existing reports demonstrate the association between anthropometric indices (body mass index, waist circumference, body roundness index, a body shape index) and hypertension according to sex and age in the general Japanese population. This retrospective analysis involved individuals aged 30-69 years who underwent annual medical checkups at Kagoshima Koseiren Hospital in 2005-2019, and who did not meet hypertension criteria at baseline. The outcome was hypertension incidence after 5 years, and its association with baseline anthropometric indices was evaluated using multivariable logistic regression analysis by sex and age. In 41,902 participants (age 52.3 ± 10.2 years, 47.7% men), 7622 individuals (18.2%) developed hypertension after 5 years. Body mass index, waist circumference, and body roundness index were significantly associated with the development of hypertension in both men and women across all age categories from 30 s to 60 s. In the population with a body mass index <25 kg/m2, waist circumference and body roundness index were significantly associated with hypertension after 5 years. A body shape index was significantly associated with the development of hypertension in men in their 40 s and 50 s but not in women of any age group. The area under the curve values were lower for a body shape index than for body mass index, waist circumference, and body roundness index in both men and women of all age groups. A body shape index was not a stronger indicator for 5-year hypertension incidence than body mass index, waist circumference, or body roundness index in both men and women across age groups from their 30s-60 s. The results of this study will help to more efficiently identify populations at high risk of developing hypertension and provide preventive interventions. A total of 41,902 participants from health checkup programs were stratified by gender and age to investigate the association between baseline anthropometric indices and hypertension incidence over a 5-year period. BMI, WC, and BRI were almost equally effective and showed a better association with risk of developing hypertension in women and young adults compared to men and old adults. Conversely, ABSI showed no greater association than BMI or WC in any age group in both men and women. ABSI, a body shape index; AUC, area under the curve from receiver operating characteristic curve analysis; BMI, body mass index; BRI, body roundness index; WC, waist circumference.
Collapse
Affiliation(s)
- Shin Kawasoe
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Takuro Kubozono
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.
| | - Anwar Ahmed Salim
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Satoko Ojima
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Satoshi Yamaguchi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| | | | | | - Masaaki Miyata
- School of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan
| |
Collapse
|
4
|
Cai X, Song S, Hu J, Zhu Q, Yang W, Hong J, Luo Q, Yao X, Li N. Body roundness index improves the predictive value of cardiovascular disease risk in hypertensive patients with obstructive sleep apnea: a cohort study. Clin Exp Hypertens 2023; 45:2259132. [PMID: 37805984 DOI: 10.1080/10641963.2023.2259132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 09/06/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Obesity, especially visceral obesity, plays an important role in the progression of cardiovascular disease (CVD). The body roundness index (BRI) is a new measure of obesity that is considered to reflect visceral obesity more comprehensively than other measures. This study aims to evaluate the relationship between BRI and CVD risk in hypertensive patients with obstructive sleep apnea (OSA) and explore its superiority in predicting CVD. METHODS The Cox proportional hazards model was used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CVD. The area under the curve (AUC), continuous net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to assess which measures of obesity had the best predictive value for CVD risk. RESULTS During a median follow-up period of 6.8 years, 324 participants suffered a CVD event. After multivariable adjustment, compared with the reference group (the first tertile), the HRs (95% CI) of CVD were 1.25 (95% CI, 0.93-1.70) and 1.74 (95% CI, 1.30-2.33) for subjects in the tertile 2 and tertile 3 groups, respectively. Compared with other measurement indicators, BRI has the highest predictive value for CVD risk [AUC: 0.627, 95% CI: 0.593-0.661]. The addition of the BRI to the fully adjusted multivariate model improved the predictive power for CVD, which was validated in the continuous NRI and the IDI (all P < .05). CONCLUSIONS BRI was significantly associated with the risk of CVD in hypertensive patients with OSA. Furthermore, BRI may improve CVD risk prediction in hypertensive patients with OSA.
Collapse
Affiliation(s)
- Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Xiaoguang Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region, Hypertension Research Laboratory, Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, China
| |
Collapse
|
5
|
Hewage N, Wijesekara U, Perera R. Determining the best method for evaluating obesity and the risk for non-communicable diseases in women of childbearing age by measuring the body mass index, waist circumference, waist-to-hip ratio, waist-to-height ratio, A Body Shape Index, and hip index. Nutrition 2023; 114:112135. [PMID: 37453224 DOI: 10.1016/j.nut.2023.112135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 06/06/2023] [Accepted: 06/13/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVE Non-communicable diseases (NCDs) are linked to excessive adiposity and anthropometric indices can be used to identify those at risk. The aim of this study was to evaluate the precision of anthropometric indices in identifying obesity and risk factors for NCDs and to investigate the emergence of obesity-related NCDs in young women in Sri Lanka. METHODS We recruited 282 women 18 to 35 y of age from suburban and rural areas in Sri Lanka. We measured the women's height, weight, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), A Body Shape Index(ABSI), hip circumference (HC), hip index (HI), anthropometric risk index (ARI), fasting serum glucose, fasting serum insulin, homeostatic model assessment for insulin resistance, cholesterol, high-density lipoprotein, low-density lipoprotein, triacylglycerols, and ovulatory gonadal hormones (progesterone, testosterone). Comparisons were made between women with normal BMI and those who were overweight or obese using anthropometric and biochemical characteristics. RESULTS The prevalence of obesity was highest in WC and in receiver operating characteristic analysis, BMI, WC, and WHtR showed higher sensitivity and lower 1-specificity as indicators of obesity. BMI had an area under the curve (AUC) of 1.000 with 100% sensitivity and 0% 1-specificity. WC had an AUC of 0.941 with 80% sensitivity and 13.4% 1-specificity. Additionally, WHtR showed a 0.974 AUC, 92.1% sensitivity, and 4.9% 1-specificity. The correlations between body size and shapes were assessed among the study participants using Pearson's correlation. More than other measures, WC and WHtR showed a significant correlation with BMI with P < 0.05 (r = 0.888 and 0.737, respectively). Although ABSI and BMI showed only a weak correlation (P = 0.006, r = 0.162), WHR and BMI showed a moderate correlation (P = 0.001, r = 0.477). Although HI demonstrated a negative association with BMI (P = 0.618, r = -0.030), HC exhibited a strong association (P = 0.001, r = 0.749). A significant association with higher odds ratios was found for obesity-related NCD risk factors such as hypertension, homeostatic model assessment for insulin resistance, hypercholesterolemia, altered ovulatory hormones with these (BMI, WC, WHR, WHtR, ABSI, HI) obesity-assessing criteria (P < 0.05). A significant correlation between WC and hypertriacylglycerolmia (P = 0.001, r = 0.781, odds ratio, >16) was identified. A positive correlation was observed between all MS components and ARI, indicating that ARI may serve as a potential indicator of cardiometabolic risk. CONCLUSION BMI, WC, WHtR, and HC are intercorrelated anthropometric measurements that can be used either alone or in combination to define obesity and detect the risk for NCDs, including diabetes mellitus, cardiovascular disease, and infertility. On the other hand, BMI, ABSI, and HI are designed to be mutually independent indices and have the advantage of combining the separate risks to generate an overall ARI. Furthermore, ARI appears to be a highly effective predictor of cardiovascular disease.
Collapse
Affiliation(s)
- Nawoda Hewage
- Department of Biochemistry, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka
| | - Udaya Wijesekara
- Department of Medical Laboratory Sciences, Faculty of Allied Health Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka
| | - Rasika Perera
- Department of Biochemistry, Faculty of Medical Sciences, University of Sri Jayewardenepura, Gangodawila, Nugegoda, Sri Lanka.
| |
Collapse
|
6
|
Ashby N, Jake LaPorte G, Richardson D, Scioletti M, Heymsfield SB, Shepherd JA, McGurk M, Bustillos B, Gist N, Thomas DM. Translating digital anthropometry measurements obtained from different 3D body image scanners. Eur J Clin Nutr 2023; 77:872-880. [PMID: 37165098 DOI: 10.1038/s41430-023-01289-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 03/31/2023] [Accepted: 04/25/2023] [Indexed: 05/12/2023]
Abstract
BACKGROUND Body image scanners are used in industry and research to reliably provide a wealth of anthropometric measurements within seconds. The demonstrated utility of the scanners drives the current proliferation of more commercially available devices that rely on their own reference body sites and proprietary algorithms to output anthropometric measurements. Since each scanner relies on its own algorithms, measurements obtained from different scanners cannot directly be combined or compared. OBJECTIVES To develop mathematical models that translate anthropometric measurements between the three popular commercially available scanners. METHODS A unique database that contained 3D scanner measurements in the same individuals from three different scanners (Styku, Human Solutions, and Fit3D) was used to develop linear regression models that translate anthropometric measurements between each scanner. A limits of agreement analysis was performed between Fit3D and Styku against Human Solutions measurements and the coefficient of determination, bias, and 95% confidence interval were calculated. The models were then applied to normalized scanner data from four different studies to compare the results of a k-means cluster analysis between studies. A scree plot was used to determine the optimal number of clusters derived from each study. RESULTS Correlations ranged between R2 = 0.63 (Styku and Human Solutions mid-thigh circumference) to R2 = 0.97 (Human Solutions and Fit3D neck circumference). In general, Fit3D had better agreement with Human Solutions compared to Styku. The widest disagreement was found in chest circumference (Fit3D (bias = 2.30, 95% CI = [-3.83, 8.43]) and Styku (bias = -5.60, 95% CI = [-10.98, -0.22]). The optimal number of body shape clusters in each of the four studies was consistently 5. CONCLUSIONS The newly developed models that translate measurements between the scanners Styku and Fit3D to predict Human Solutions measurements make it possible to standardize data between scanners allowing for data pooling and comparison.
Collapse
Affiliation(s)
- Nicholas Ashby
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA
| | - G Jake LaPorte
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA
| | - Daniel Richardson
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA
| | - Michael Scioletti
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA
| | | | | | - Michael McGurk
- Research and Analysis Directorate, U.S. Army Center for Initial Military Training (CIMT), U.S. Army Training & Doctrine Command (TRADOC), Fort Eustis, VA, USA
| | - Brenda Bustillos
- Research and Analysis Directorate, U.S. Army Center for Initial Military Training (CIMT), U.S. Army Training & Doctrine Command (TRADOC), Fort Eustis, VA, USA
| | - Nicholas Gist
- Department of Physical Education, United States Military Academy, West Point, NY, USA
| | - Diana M Thomas
- Department of Mathematical Sciences, United States Military Academy, West Point, NY, USA.
| |
Collapse
|
7
|
Sisay BG, Jima BR, Habtamu M, Gebru NW, Hassen HY. Predictive ability of anthropometric indices in identifying metabolic syndrome among US adolescents 10 to 19 years old: Analysis from the National Health and Nutrition Examination Survey 2011 to 2018 data set. Nutrition 2023; 113:112081. [PMID: 37321045 DOI: 10.1016/j.nut.2023.112081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVE The aim of this study was to identify the best anthropometric indices for predicting metabolic syndrome in US adolescents. METHODS A cross-sectional study analyzed data of adolescents ages 10 to 19 y using the National Health and Nutrition Examination Survey 2011 to 2018 data. The receiver operating characteristic areas under the curve (AUCs) of waist circumference z score, body roundness index, body mass index, and A Body Shape Index in identifying predicting metabolic syndrome were assessed. Furthermore, sensitivity, specificity, positive predictive value, negative predictive value, and positive and negative likelihood ratios of all anthropometric indices were calculated. RESULTS A total of 5496 adolescents were included in the analysis. Waist circumference z score had an AUC of 0.90 (95% CI, 0.89-0.91), sensitivity of 95.0% (95% CI, 89.4-98.1), and specificity of 74.8% (95% CI, 73.6, 76.0). Body roundness index had an AUC of 0.88 (95% CI, 0.87-0.89), sensitivity of 96.7% (95% CI, 91.7-99.1), and specificity of 75.2% (95% CI, 74.1-76.4). Body mass index z score had an AUC of 0.83 (95% CI, 0.81-0.85), sensitivity of 97.5% (95% CI, 92.9-99.5), and specificity of 68.2% (95% CI, 66.9-69.4). A Body Shape Index had an AUC of 0.59 (95% CI, 0.56-0.61), sensitivity of 75.0% (95% CI, 66.3-82.5), and specificity of 50.9% (95% CI, 49.5-52.2). CONCLUSIONS Our study found waist circumference z score and body roundness index were the best predictors of predicting metabolic syndrome compared with body mass index z score and A Body Shape Index in both boys and girls. We recommend that future studies develop global cutoff points for these anthropometric indices and examine their performance in a multi-country setting.
Collapse
Affiliation(s)
- Binyam Girma Sisay
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Beshada Rago Jima
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia.
| | - Marekegn Habtamu
- Department of Human Nutrition, College of Medicine and Health Science, Kotebe Metropolitan University, Addis Ababa, Ethiopia
| | - Nardos Wondafrash Gebru
- Department of Nutrition and Dietetics, School of Public Health, Addis Ababa University, Addis Ababa, Ethiopia
| | - Hamid Yimam Hassen
- Department of Primary and Interdisciplinary Care, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium
| |
Collapse
|
8
|
Mohamadi A, Shiraseb F, Mirzababaei A, AkbarySedigh A, Ghorbani M, Clark CCT, Aali Y, Mirzaei K. The association between adherence to diet quality index and cardiometabolic risk factors in overweight and obese women: a cross-sectional study. Front Public Health 2023; 11:1169398. [PMID: 37521997 PMCID: PMC10374417 DOI: 10.3389/fpubh.2023.1169398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 06/22/2023] [Indexed: 08/01/2023] Open
Abstract
Background Obesity and overweight status increase the risk of cardiovascular disease. Diet quality can also predict the risk of cardiovascular diseases in obese and overweight patients. Therefore, in this study, we sought to examine the relationship between diet quality index (DQI) and cardiometabolic risk factors in obese and overweight women. Method A cross-sectional study was conducted on 197 Iranian women with a Body Mass Index (BMI) > 25, 18-48 years, and recruited from 20 Tehran Health Centers. Nutrition intake and DQI were assessed using a 147-item semi-quantitative food frequency questionnaire (FFQ). Additionally, anthropometric measurements, body composition, biochemical evaluations, and cardiometabolic risk factors were evaluated. Results There was an association between DQI and waist-to-hip ratio (WHR), atherogenic index of plasma (AIP), and CHOLINDEX in obese women, after adjusting for potential confounders. Whereas, there were no significant associations of the tertiles of DQI compared with the first tertile in other cardiometabolic risk factors, before and after adjustment. Conclusion This study provides evidence that dietary intake and DQI are associated with cardiometabolic risk factors and that dietary modification may be a predictor for reducing WHR, AIP, and CHOLINDEX. However, more research is needed to develop a DQI that reflects changes in cardiometabolic risk factors by considering women's eating habits and patterns.
Collapse
Affiliation(s)
- Azam Mohamadi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Farideh Shiraseb
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Assa AkbarySedigh
- Department of Clinical Nutrition, School of Nutritional Science Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Moloud Ghorbani
- Department of Community Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Cain C. T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
| | - Yasaman Aali
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Iran
| |
Collapse
|
9
|
Kamińska MS, Lubkowska A, Panczyk M, Walaszek I, Grochans S, Grochans E, Cybulska AM. Relationships of Body Mass Index, Relative Fat Mass Index, and Waist Circumference with Serum Concentrations of Parameters of Chronic Inflammation. Nutrients 2023; 15:2789. [PMID: 37375693 DOI: 10.3390/nu15122789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/09/2023] [Accepted: 06/16/2023] [Indexed: 06/29/2023] Open
Abstract
(1) Background: Obesity in the perimenopausal period is associated with hormonal changes, lifestyle, and environment. In obesity, elevated levels of IL-6 and TNF-α and reduced levels of adiponectin are observed, and the associated chronic inflammation favors the development of cardiometabolic diseases. Therefore, the aim of our study was to assess the relationship between selected measures of obesity (BMI, WC, RFM, VAI, WHtR) and parameters of chronic inflammation (CRP, TNF-α, IL-6) in perimenopausal women. (2) Methods: The study involved 172 perimenopausal women. The methods used in this study were diagnostic surveys, anthropometric measurements, blood pressure measurements, and venous blood sampling. (3) Results: Preliminary multivariate linear regression analysis showed that CRP moderately positively correlated with IL-6 (β = 0.25; p = 0.001) and weakly negatively correlated with adiponectin (β = -0.23; p = 0.002). Similar associations were noted in preliminary multivariate linear regression analysis adjusted for age, menopausal status, and smoking status. Preliminary multivariate linear regression analysis also showed that BMI positively correlated with IL-6 (β = 0.16; p = 0.033). VAI weakly positively correlated with CRP (β = 0.25; p = 0.001) and negatively correlated with adiponectin (β = -0.43; p = 0.000). (4) BMI, WC, RFM, VAI, and WHtR are clearly related to selected parameters of chronic inflammation. Our study suggests that each of the anthropometric variables provides distinct information on metabolic processes associated with inflammatory parameters.
Collapse
Affiliation(s)
- Magdalena Sylwia Kamińska
- Subdepartment of Long-Term Care and Palliative Medicine, Department of Social Medicine, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Anna Lubkowska
- Department of Functional Diagnostics and Physical Medicine, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 54 Żołnierska St., 71-210 Szczecin, Poland
| | - Mariusz Panczyk
- Department of Education and Research in Health Sciences, Faculty of Health Sciences, Medical University of Warsaw, 14/16 Litewska St., 00-518 Warsaw, Poland
| | - Ireneusz Walaszek
- Department of Pediatric and Oncological Surgery, Urology and Hand Surgery, Pomeranian Medical University in Szczecin, 1 Unii Lubelskiej St., 72-252 Szczecin, Poland
| | - Szymon Grochans
- Department of Specialised Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Elżbieta Grochans
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| | - Anna Maria Cybulska
- Department of Nursing, Faculty of Health Sciences, Pomeranian Medical University in Szczecin, 48 Żołnierska St., 71-210 Szczecin, Poland
| |
Collapse
|
10
|
Mirzababaei A, Abaj F, Khosravinia D, Ghorbani M, Valisoltani N, Clark CCT, Radmehr M, Mirzaei K. The mediatory effect of inflammatory markers on the association between a body shape index and body roundness index with cardiometabolic risk factor in overweight and obese women: a cross-sectional study. Front Nutr 2023; 10:1178829. [PMID: 37360300 PMCID: PMC10288880 DOI: 10.3389/fnut.2023.1178829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/09/2023] [Indexed: 06/28/2023] Open
Abstract
Background Obesity affects body composition and anthropometric measurements. A Body Shape Index (ABSI) and Body Roundness Index (BRI) are reportedly associated with an increased risk of cardiovascular disease. However, the relationship between ABSI, BRI, cardiometabolic factors, and inflammatory elements is not well-elucidated. Therefore, this study sought to examine the mediatory effect of inflammatory markers on the association between ABSI and BRI with cardiometabolic risk factors in overweight and obese women. Methods This cross-sectional study was performed on 394 obese and overweight women. The typical food intake of individuals was assessed using a 147-item semi-quantitative Food Frequency Questionnaire (FFQ). Body composition was measured by bioelectrical impedance analysis (BIA). Biochemical parameters, such as inflammatory markers and anthropometric components, were also assessed. For each participant, all measurements were carried out on the same day. Result There was a significant positive association between ABSI and AC and CRI.I in subjects with higher ABSI scores before and after adjustment (P < 0.05). In addition, there was a significant positive association between BRI and FBS, TC, TG, AIP, AC, CRI.I, CRI.II, and TyG in participants with higher BRI scores before and after adjustment (P < 0.05). We found that hs-CRP, PAI-1, MCP-1, TGF-β, and Galectin-3 were mediators of these relationships (P < 0.05). Conclusion Inflammation can play an important role in the relationship between body shape indices and cardiometabolic risk factors among overweight and obese women.
Collapse
Affiliation(s)
- Atieh Mirzababaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Faezeh Abaj
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Darya Khosravinia
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Moloud Ghorbani
- Department of Community Nutrition, Faculty of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Neda Valisoltani
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | - Cain C. T. Clark
- Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom
| | - Mina Radmehr
- Department of Nutrition, Science and Research Branch, Islamic Azad University, Tehran, Iran
| | - Khadijeh Mirzaei
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
11
|
Zhang X, Li G, Shi C, Tian Y, Zhang L, Zhang H, Sun Y. Comparison of conventional and unconventional obesity indices associated with new-onset hypertension in different sex and age populations. Sci Rep 2023; 13:7776. [PMID: 37179428 PMCID: PMC10182979 DOI: 10.1038/s41598-023-34969-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/10/2023] [Indexed: 05/15/2023] Open
Abstract
We aimed to compare the relationship between hypertension and obesity-related anthropometric indices (waist circumference [WC], waist-height ratio, waist-hip ratio [WHR], and body mass index; unconventional: new body shape index [ABSI] and body roundness index [BRI]) to identify best predictors of new-onset hypertension. The study included 4123 adult participants (2377 women). Hazard ratios (HRs) and 95% confidence intervals (CIs) were determined using a Cox regression model to estimate the risk of new-onset hypertension with respect to each obesity index. In addition, we assessed the predictive value of each obesity index for new-onset hypertension using area under the receiver operating characteristic curve (AUC) after adjusting for common risk factors. During the median follow-up of 2.59 years, 818 (19.8%) new hypertension cases were diagnosed. The non-traditional obesity indices BRI and ABSI had predictive value for new-onset hypertension; however, they were not better than the traditional indexes. WHR was the best predictor of new-onset hypertension in women aged ≤ 60 and > 60 years, with HRs of 2.38 and 2.51 and AUCs of 0.793 and 0.716. However, WHR (HR 2.28, AUC = 0.759) and WC (HR 3.24, AUC = 0.788) were the best indexes for predicting new-onset hypertension in men aged ≤ 60 and > 60 years, respectively.
Collapse
Affiliation(s)
- Xueyao Zhang
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Guangxiao Li
- Department of Medical Record Management, First Hospital of China Medical University, Shenyang, China
| | - Chuning Shi
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Yichen Tian
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Linlin Zhang
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Hongyu Zhang
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China
| | - Yingxian Sun
- Department of Cardiology, First Hospital of China Medical University, 155 Nanjing North Street, Heping District, Shenyang, 110001, China.
| |
Collapse
|
12
|
Costo-Muriel C, Calderón-García JF, Rico-Martín S, Sánchez-Bacaicoa C, Escudero-Sánchez G, Galán-González J, Rodríguez-Velasco FJ, Sánchez Muñoz-Torrero JF. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices. Curr Probl Cardiol 2023; 48:101574. [PMID: 36584728 DOI: 10.1016/j.cpcardiol.2022.101574] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022]
Abstract
Novel anthropometric indices have been proposed as an alternative to body mass index (BMI) and waist circumference (WC) to determine visceral adipose tissue and body mass. Little is known about the relationship of these new anthropometric indices to subclinical carotid atherosclerosis. The objective of this study was to assess the association of anthropometric indices, both new and traditional, with the presence of subclinical carotid artery arteriosclerosis (SCAA) estimated by Doppler ultrasound. This cross-sectional study analyzed 788 Spanish patients who consecutively attended a vascular risk consultation between June 2021 and September 2022. Traditional anthropometric indices (BMI, WHR and WHtR) and novel indices (ABSI, AVI, BAI, BRI, CI, CUNBAE and WWI) were calculated, and Doppler ultrasound in the carotid artery (cIMT and atherosclerosis plaque) was performed to detect SCAA. All analyzed anthropometric indices, except BMI, BAI and CUNBAE, were significantly higher in patients with SCAA. ABSI, BRI, CI, WHR, WHtR and WWI and were associated with SCAA in the univariate analysis (p<0.05); however, only ABSI (adjusted OR: 1.15; 95% CI: 1.10-2.38; p= 0.042) was significantly associated with SCAA in the multivariate analysis. In conclusion, only ABSI was significantly positively associated with SCAA, independent of other confounders.
Collapse
Affiliation(s)
- Clara Costo-Muriel
- Department of Internal Medicine, Hospital Comarcal de la AXARQUÍA, Málaga, Spain
| | - Julián F Calderón-García
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - Sergio Rico-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain.
| | | | | | | | | | | |
Collapse
|
13
|
Zhang X, Ye R, Sun L, Liu X, Wang S, Meng Q, Chen X. Relationship between novel anthropometric indices and the incidence of hypertension in Chinese individuals: a prospective cohort study based on the CHNS from 1993 to 2015. BMC Public Health 2023; 23:436. [PMID: 36879238 PMCID: PMC9990350 DOI: 10.1186/s12889-023-15208-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 02/03/2023] [Indexed: 03/08/2023] Open
Abstract
BACKGROUND Recently, novel anthropometric indices (AHIs), including the body roundness index (BRI) and a body shape index (ABSI), were proposed to evaluate a subject's nutritional status and metabolic disorders. In the present study, we mainly analyzed the relationship between AHIs and the incidence of hypertension and preliminarily compared their abilities to discriminate hypertension incidence in the Chinese population from the China Health and Nutrition Survey (CHNS). METHODS A total of 12,154 participants were included in this longitudinal study. The age range of this cohort was 18-94 years old (mean age: 40.73 ± 13.85 years old). 4511 participants developed hypertension during a median of 7.00 years of follow-up. Cox regression analysis, stratified analysis, and interaction tests were used to analyze the relationship between AHIs and the incidence of hypertension. Time-dependent receiver operating characteristic (ROC) curves, integrated discrimination improvement (IDI) and net reclassification index (NRI) were calculated to appraise the AHIs' discrimination value of new-onset hypertension. RESULTS Kaplan‒Meier curves demonstrated that the participants in higher quartiles of AHIs (ABSI or BRI) at baseline were at greater risk of hypertension incidence during the follow-up. After adjusting for confounding factors, multivariate Cox regression models showed that the quartiles of BRI were significantly associated with an increased risk of hypertension in the whole cohort but were relatively weak for ABSI quartiles (P for trend = 0.387). In addition, ABSI z score (HR = 1.08, 95% CI: 1.04-1.11) and BRI z score (HR = 1.27, 95% CI: 1.23-1.30) were positively associated with increased incident hypertension in the total population. Stratified analysis and interaction tests showed a greater risk of new-onset hypertension in those < 40 years old (HR = 1.43, 95% CI: 1.35-1.50) for each z score increase in BRI and a higher incidence of hypertension in participants who were drinkers (HR = 1.10, 95% CI: 1.04-1.14) for each z score increase in ABSI. In addition, we observed that the area under the curve for identifying hypertension incidence for BRI was significantly higher than that for ABSI at 4, 7, 11, 12, and 15 years (all P < 0.05). However, the AUC of both indices decreased over time. Furthermore, the addition of BRI improved the differentiation and reclassification of traditional risk factors with a continuous NRI of 0.201 (95% CI: 0.169-0.228) and an IDI of 0.021 (95% CI: 0.015-0.028). CONCLUSION Increased ABSI and BRI were associated with an increased risk of hypertension in Chinese individuals. BRI performed better than ABSI in identifying the new onset of hypertension, and the discrimination ability of both indices decreased over time.
Collapse
Affiliation(s)
- Xin Zhang
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China
| | - Runyu Ye
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China
| | - Lirong Sun
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China
| | - Xueting Liu
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China
| | - Si Wang
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China
| | - Qingtao Meng
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China.
- Cardiology Department, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, People's Republic of China.
| | - Xiaoping Chen
- Cardiology Department, West China Hospital, Sichuan University, People's Republic of China, 610041, Chengdu, Sichuan Province, China.
- Cardiology Department, West China Hospital, Sichuan University, 610041, Chengdu, Sichuan Province, People's Republic of China.
| |
Collapse
|
14
|
Masters RK. Sources and severity of bias in estimates of the BMI-mortality association. POPULATION STUDIES 2023; 77:35-53. [PMID: 36756765 PMCID: PMC9992219 DOI: 10.1080/00324728.2023.2168035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 07/13/2022] [Indexed: 02/10/2023]
Abstract
Estimates of mortality differences by body mass index (BMI) are likely biased by: (1) confounding bias from heterogeneity in body shape; (2) positive survival bias in high-BMI samples due to recent weight gain; and (3) negative survival bias in low-BMI samples due to recent weight loss. I investigate these sources of bias in the National Health and Nutrition Examination Survey (NHANES) 1988-94 and 1999-2006 linked to mortality up to 2015 (17,784 cases; 4,468 deaths). I use Cox survival models to estimate BMI differences in all-cause mortality risks among adults aged [45-85) in the United States. I test for age-based differences in BMI-mortality associations and estimate functional forms of the association using nine BMI levels. Estimates of the BMI-mortality association in NHANES data are significantly affected by all three biases, and obesity-mortality associations adjusted for bias are substantively strong at all ages. The mortality consequences of overweight and obesity have likely been underestimated, especially at older ages.
Collapse
Affiliation(s)
- Ryan K. Masters
- Department of Sociology, University of Colorado Boulder
- University of Colorado Population Center
| |
Collapse
|
15
|
Vega-Cárdenas M, Teran-Garcia M, Vargas-Morales JM, Padrón-Salas A, Aradillas-García C. Visceral adiposity index is a better predictor to discriminate metabolic syndrome than other classical adiposity indices among young adults. Am J Hum Biol 2023; 35:e23818. [PMID: 36207794 DOI: 10.1002/ajhb.23818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 08/26/2022] [Accepted: 09/23/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Visceral adiposity index (VAI) has been identified as a cardiometabolic risk marker in children and adolescents which reflects abdominal fat distribution. The aim of the present study was to evaluated the predictive capacity of VAI, a body shape index (ABSI), atherogenic index of plasma (AIP), and triglycerides and glucose index (TyG index) compared with classical anthropometric measurements to discriminate metabolic syndrome (MetS). METHODS This retrospective study included 1372 individuals. Anthropometric, clinical, and biochemical measurements were used to screen the prevalence of MetS components and to calculate VAI, ABSI, TyG index, and AIP. RESULTS The discriminatory capacity among the variables was assessed by the area under the receiver operating characteristic (ROC) curve (AUC). VAI was the variable with the highest AUC with 0.932 CI 95% (0.917-0.948), followed by AIP with 0.914 CI 95% (0.897-0.931), and TyG index with 0.889 CI 95% (0.871-0.908). CONCLUSION VAI is a promising tool to identify MetS in the late adolescence setting. Among the novel adiposity indexes VAI, AIP, TyG index are able to determine MetS presence, while ABSI is not capable.
Collapse
Affiliation(s)
- Mariela Vega-Cárdenas
- Coordination for the Innovation and Application of Science and Technology, CIACYT, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico
| | - Margarita Teran-Garcia
- Division of Nutritional Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - Aldanely Padrón-Salas
- Faculty of Medicine, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico
| | - Celia Aradillas-García
- Coordination for the Innovation and Application of Science and Technology, CIACYT, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico.,Faculty of Medicine, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí, Mexico
| |
Collapse
|
16
|
Evaluation of Arterial Stiffness and Its Relation to Innovative Anthropometric Indices in Persian Adults. Int J Hypertens 2023; 2023:2180923. [PMID: 36726690 PMCID: PMC9886491 DOI: 10.1155/2023/2180923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 12/02/2022] [Accepted: 01/04/2023] [Indexed: 01/25/2023] Open
Abstract
Background BMI has been evaluated as an old criterion to evaluate obesity in individuals, but it does not assess abdominal obesity and lean mass. We aimed to evaluate the possible relationship of new anthropometric indices (namely, a body shape index (ABSI), the body roundness index (BRI), the visceral adiposity index (VAI), the visceral fat area (VFA), and waist-hip ratio (WHR)), with one of the known critical factors of atherosclerosis, arterial stiffness. Methods Overall 5921 individuals were enrolled and were divided into four groups according to BMI. Novel anthropometric parameters including, ABSI, BRI, VAI, VFA, and WHR were calculated. The carotid-femoral pulse wave velocity (cf-PWV) was used to evaluate arterial stiffness. Multiple regression analysis was performed to assess the relationship between cf-PWV and innovative Anthropometric indices. Results This study population consisted of 3109 women and 2812 males. In men with overweight, cf-PWV was significantly related to BMI, ABSI, BRI, WC, VAI, VFA, and WHR. However, among men with obesity, cf-PWV was associated with BRI, VAI, and VFA. Among women with overweight, cf-PWV was also related to all mentioned indices except ABSI; although, cf-PWV was only associated with VFA and WHR in women with obesity. Conclusion Our results showed that VFA in women and VAI in men are strongly related to arterial stiffness and can be used to identify predictors of vascular disease or organic vascular dysfunction.
Collapse
|
17
|
van der Sluijs KM, Bakker EA, Schuijt TJ, Joseph J, Kavousi M, Geersing GJ, Rutten FH, Hartman YAW, Thijssen DHJ, Eijsvogels TMH. Long-term cardiovascular health status and physical functioning of nonhospitalized patients with COVID-19 compared with non-COVID-19 controls. Am J Physiol Heart Circ Physiol 2023; 324:H47-H56. [PMID: 36459448 PMCID: PMC9870581 DOI: 10.1152/ajpheart.00335.2022] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
Coronavirus disease 2019 (COVID-19) is reported to have long-term effects on cardiovascular health and physical functioning, even in the nonhospitalized population. The physiological mechanisms underlying these long-term consequences are however less well described. We compared cardiovascular risk factors, arterial stiffness, and physical functioning in nonhospitalized patients with COVID-19, at a median of 6 mo postinfection, versus age- and sex-matched controls. Cardiovascular risk was assessed using blood pressure and biomarker concentrations (amino-terminal pro-B-type-natriuretic-peptide, high-sensitive cardiac troponin I, C-reactive protein), and arterial stiffness was assessed using carotid-femoral pulse wave velocity. Physical functioning was evaluated using accelerometry, handgrip strength, gait speed and questionnaires on fatigue, perceived general health status, and health-related quality of life (hrQoL). We included 101 former patients with COVID-19 (aged 59 [interquartile range, 55-65] yr, 58% male) and 101 controls. At 175 [126-235] days postinfection, 32% of the COVID-19 group reported residual symptoms, notably fatigue, and 7% required post-COVID-19 care. We found no differences in blood pressure, biomarker concentrations, or arterial stiffness between both groups. Former patients with COVID-19 showed a higher handgrip strength (43 [33-52] vs. 38 [30-48] kg, P = 0.004) and less sleeping time (8.8 [7.7-9.4] vs. 9.8 [8.9-10.3] h/day, P < 0.001) and reported fatigue more often than controls. Accelerometry-based habitual physical activity levels, gait speed, perception of general health status, and hrQoL were not different between groups. In conclusion, one in three nonhospitalized patients with COVID-19 reports residual symptoms at a median of 6 mo postinfection, but we were unable to relate these symptoms to increases in cardiovascular risk factors, arterial stiffness, or physical dysfunction.NEW & NOTEWORTHY We examined cardiovascular and physical functioning outcomes in nonhospitalized patients with COVID-19, at a median of 6 mo postinfection. When compared with matched controls, minor differences in physical functioning were found, but objective measures of cardiovascular risk and arterial stiffness did not differ between groups. However, one in three former patients with COVID-19 reported residual symptoms, notably fatigue. Follow-up studies should investigate the origins of residual symptoms and their long-term consequences in former, nonhospitalized patients with COVID-19.
Collapse
Affiliation(s)
- Koen M. van der Sluijs
- 1Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Esmée A. Bakker
- 1Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Tim J. Schuijt
- 2Clinical Chemistry and Hematology Laboratory, Hospital Gelderse Vallei Ede, Ede, The Netherlands
| | - Jayaraj Joseph
- 3Department of Electrical Engineering, Indian Institute of Technology Madras, Chennai, India
| | - Maryam Kavousi
- 4Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Geert-Jan Geersing
- 5Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Frans H. Rutten
- 5Department of General Practice, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Yvonne A. W. Hartman
- 1Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Dick H. J. Thijssen
- 1Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thijs M. H. Eijsvogels
- 1Department of Physiology, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| |
Collapse
|
18
|
Ding J, Chen X, Shi Z, Bai K, Shi S. Association of body roundness index and its trajectories with all-cause and cardiovascular mortality among a Chinese middle-aged and older population: A retrospective cohort study. Front Public Health 2023; 11:1107158. [PMID: 37033022 PMCID: PMC10076882 DOI: 10.3389/fpubh.2023.1107158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/08/2023] [Indexed: 04/11/2023] Open
Abstract
Objectives The body roundness index (BRI) is a novel anthropometric index that is a better indicator for predicting fat distribution than the body mass index (BMI). The longitudinal study can repeatedly collect measured results for the variables to be studied and then consider the potential effects of intraindividual changes in measurement. However, few population-based, longitudinal studies of BRI have been conducted, especially among the Chinese population. The study aimed to investigate the association of BRI and its longitudinal trajectories with all-cause and cardiovascular mortality. Methods A total of 71,166 participants with four times BRI measurements between January 2010 and December 2019 were included in this longitudinal study, with a median follow-up was 7.93 years, and 11,538 deaths were recorded, of which 5,892 deaths were due to cardiovascular disease (CVD). A latent class growth mixture modeling (LCGMM) was used to identify BRI trajectories. Cox proportional hazard models were used to estimate associations between BRI trajectories and the risk of all-cause and cardiovascular mortality. Results In the restricted cubic spline regression models, a U-shaped relationship between BRI and all-cause and cardiovascular mortality was observed. Three BRI longitudinal trajectories of low-stable (mean BRI = 2.59), moderate-stable (mean BRI = 3.30), and high-stable (mean BRI = 3.65) were identified by LCGMM. After being adjusted for potential confounders, the HRs for all-cause mortality were 1.18 (1.13-1.24) for the moderate-stable group and 1.74 (1.66-1.82) for the high-stable group compared to the low-stable group. The HRs for cardiovascular mortality were 1.12 (1.05-1.18) for the moderate-stable group and 1.64 (1.53-1.75) for the high-stable group compared to the low-stable group. Conclusion A nonlinear association of BRI with all-cause and cardiovascular mortality was observed, and participants in the higher BRI longitudinal trajectory group were significantly associated with an increased risk of all-cause and cardiovascular mortality.
Collapse
Affiliation(s)
- Jiacheng Ding
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Xuejiao Chen
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhan Shi
- Department of Pharmacy, Zhengzhou People’s Hospital, Zhengzhou, Henan, China
| | - Kaizhi Bai
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Songhe Shi
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
- *Correspondence: Songhe Shi,
| |
Collapse
|
19
|
A nonlinear association between body roundness index and all-cause mortality and cardiovascular mortality in general population. Public Health Nutr 2022; 25:3008-3015. [PMID: 35983642 PMCID: PMC9991644 DOI: 10.1017/s1368980022001768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The aim of the study was to investigate the association between body roundness index (BRI) and all-cause mortality and cardiovascular mortality in general population. DESIGN A retrospective cohort study. SETTING The status of cardiovascular mortality and all-cause mortality of participants were followed through 31 December 2015. Multivariate adjusted Cox restricted cubic spline regression models and Kaplan-Meier survival curves were used to evaluate the relationship between BRI and cardiovascular mortality and all-cause mortality. PARTICIPANTS A sample of 47 356 participants from the National Health and Nutrition Examination Surveys 1999-2014 with aged ≥18 years. RESULTS Mean age was 47 years and female were 49·9 %. During a median follow-up of 92 months, 4715 participants died from any cause, with 985 died of CVD. In multivariate adjusted Cox regression, compared with the lowest quartile of Body roundness index (BRI), the hazard ratios (HR) for all-cause mortality from other quartiles were 0·83, 95 % CI (0·75, 0·92), 0·73, 95 % CI (0·65, 0·81) and 0·80, 95 % CI (0·72, 0·89), respectively (Pfor trend < 0·05) and the HR for cardiovascular mortality from other quartiles were 0·79, 95 % CI (0·62, 1·00), 0·78, 95 % CI (0·62, 0·99) and 0·79, 95 % CI (0·62, 1·01), respectively (P for trend > 0·05). In the restricted cubic spline regression models, the relationship was showed U-shaped between BRI and all-cause mortality and cardiovascular mortality. In Kaplan-Meier survival curves, the lowest cumulative survival rate of cardiovascular mortality and all-cause mortality was recorded in the highest BRI quartile. CONCLUSIONS The U-shaped association between BRI and all-cause mortality and cardiovascular mortality in a large population-based cohort was observed.
Collapse
|
20
|
Aryal V, Ghimire D, Kandel S, Majumder A, Manna S. Obesity among Medical Students of a Medical College: A Descriptive Cross-sectional Study. JNMA J Nepal Med Assoc 2022; 60:943-946. [PMID: 36705181 PMCID: PMC9795093 DOI: 10.31729/jnma.7519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 09/29/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction The prevalence of overweight and obesity is increasing these days. The adverse effect of obesity can be seen in different physiological functions. Relative fat mass is a newly identified parameter to estimate whole body fat. This study aimed to find out the prevalence of obesity among medical students of a medical college. Methods A descriptive cross-sectional study was carried out among medical students of a medical college from 1 September 2021 to 30 January 2022. Ethical approval was taken from the Institutional Review Committee (Reference number: FNMC/539/078/79). Simple random sampling was done. Height was measured using a stadiometer and waist circumference was measured using non-stretchable tape. Relative fat mass was calculated using the relative fat mass equation. The data was categorised according to the distribution of fat mass. Point estimate and 95% Confidence Interval were calculated. Results Out of 180 medical students, 57 (31.67%) (24.87-38.47, 95% Confidence Interval) were obese according to relative fat mass cut-off. The mean fat mass among male and female participants with high relative fat mass was 27.057±1.42 and 35.674±2.63 respectively. Conclusions The prevalence of obesity was lower than in other studies done in similar settings. Keywords body fat; obesity; medical students.
Collapse
Affiliation(s)
- Vibina Aryal
- Department of Physiology, National Medical College, Birgunj, Parsa, Nepal,Correspondence: Dr Vibina Aryal, Department of Physiology, National Medical College, Birgunj, Parsa, Nepal. , Phone: +977-9841392798
| | - Dayaram Ghimire
- Department of Physiology, National Medical College, Birgunj, Parsa, Nepal
| | - Sabita Kandel
- Department of Clinical Physiology, Maharajgunj Medical Campus, Maharajgunj, Kathmandu, Nepal
| | - Anirban Majumder
- Department of Physiology, National Medical College, Birgunj, Parsa, Nepal
| | - Sourav Manna
- Department of Physiology, National Medical College, Birgunj, Parsa, Nepal
| |
Collapse
|
21
|
Jeong HG, Park H. Metabolic Disorders in Menopause. Metabolites 2022; 12:954. [PMID: 36295856 PMCID: PMC9606939 DOI: 10.3390/metabo12100954] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 10/04/2022] [Accepted: 10/06/2022] [Indexed: 08/01/2023] Open
Abstract
Menopause is an aging process and an important time equivalent to one-third of a woman's lifetime. Menopause significantly increases the risk of cardiometabolic diseases, such as obesity, type 2 diabetes, cardiovascular diseases, non-alcoholic liver disease (NAFLD)/metabolic associated fatty liver disease (MFFLD), and metabolic syndrome (MetS). Women experience a variety of symptoms in the perimenopausal period, and these symptoms are distressing for most women. Many factors worsen a woman's menopausal experience, and controlling these factors may be a strategy to improve postmenopausal women's health. This review aimed to confirm the association between menopause and metabolic diseases (especially MetS), including pathophysiology, definition, prevalence, diagnosis, management, and prevention.
Collapse
Affiliation(s)
- Hye Gyeong Jeong
- Department of Obstetrics and Gynecology, Korea University College of Medicine, 73 Inchon-ro, Seoul 02841, Korea
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Hyuntae Park
- Department of Obstetrics and Gynecology, Korea University College of Medicine, 73 Inchon-ro, Seoul 02841, Korea
| |
Collapse
|
22
|
Bindiya Satish, Gowda K. M. D, Mohd Ehtesham Ali Farooqui. Correlation of salivary biomarkers with anthropometric indices for cardio-metabolic risk screening in professional undergraduates. Biomedicine (Taipei) 2022. [DOI: 10.51248/.v42i4.1258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
Introduction and Aim: The onset of cardio metabolic disorders in the later parts of adult life requires development of early screening techniques. The current study is an approach to design and evaluate the easy-to-use method for the diagnosis of cardio metabolic disorders.
Materials and Methods: The current study was performed after the institutional ethical approval. Fifty-two healthy but, obese volunteers aged 17-25 years with BMI ?25.0 were included. Salivary cortisol level was estimated by ELISA. Salivary ?-amylase was measured by kinetic enzyme assay. Data was expressed as Mean ± SD. The association between anthropometric parameters with salivary cortisol and salivary amylase was done by Pearson correlation test. p value< 0.05 was considered statistically significant.
Results: Salivary cortisol in male and female subjects did not show significant correlation (p>0.05) with anthropometric parameters except BMI. Similarly, salivary amylase did not show significant correlation (p>0.05) with Waist-to-height ratio (WHtR), A body shape index (ABSI), Body Round Index (BRI) and Physical Fitness Index (PFI). The correlation of Waist to hip ratio (WHR) was found to be significantly correlated (p=0.01) with salivary amylase level whereas, the BMI and Body fat % was negatively correlated with salivary amylase level.
Conclusion: The newly proposed anthropometric parameters such as WHtR, ABSI, BRI, and PFI did not proved as ideal parameters for early prediction of cardio metabolic disorders in both genders.
Collapse
|
23
|
Sekgala MD, Opperman M, Mpahleni B, Mchiza ZJR. Anthropometric indices and cut-off points for screening of metabolic syndrome among South African taxi drivers. Front Nutr 2022; 9:974749. [PMID: 36034933 PMCID: PMC9406286 DOI: 10.3389/fnut.2022.974749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background Detecting the early onset of metabolic syndrome (MetS) allows for quick intervention which may slow progression to a variety of health consequences, hence, determining the best measurement to detect MetS is essential. Aim This research aimed at examining the MetS predictive power of anthropometric indices, such as body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), body shape index (ABSI), body roundness index (BRI), percentage body fat (%BF), conicity index (CI), and Clínica Universidad de Navarra-body adiposity estimator (CUN-BAE) to determine the cut-off points to identify male South African taxi drivers with MetS. Method A cross-sectional study was conducted among 185 male taxi drivers. Their weight, height, WC, blood lipid profile were measured. International Diabetes Federation (IDF) definition was used to define MetS. Receiver Operating Characteristic (ROC) curves were used to compare the predictive ability of Anthropometric indices to detect MetS. Results The mean age of the participants was 39.84 years. Overall, 41.6% (N = 77) of the participants presented with MetS. The mean values for BMI, WC, WHtR, %BF, BRI, CUN-BAE, ABSI and CI were 28.60 ± 6.20 kg/m2, 99.13 ± 17.59 cm, 0.58 ± 0.10, 27.28 ± 8.28%, 5.09 ± 2.33, 27.78 ± 8.34, 0.08 ± 0.01 and 1.70 ± 0.19, respectively. The mean values for these indices were significantly (p < 0.001) higher in participants with MetS. The highest area under the curve (AUC) outcomes for screening MetS were for the %BF and CUN-BAE, followed by the BMI and WHtR, and lastly the BRI. All these anthropometric indices had outstanding discriminatory powers for predicting MetS with AUCs and sensitivity values above 80%. The BMI, WHtR, %BF, BRI, and CUN-BAE, had cut-off points for detection of metS in South African men at 28.25 kg/m2, 0.55, 25.29%, 4.55, and 27.10, respectively. Based on the logistic regression models abnormal BMI, WHtR, %BF, BRI, CUN-BAE, TG, FBG, systolic BP, diastolic BP and WC showed increased risk of MetS. Conclusion While the %BF, CUN-BAE, BMI, WC, WHtR, BRI, CI and CUN-BAE could predict MetS among South African male taxi drivers, these indices were less effective in predicting the individual MetS risk factors such as TG, BP, and FBG.
Collapse
Affiliation(s)
- Machoene Derrick Sekgala
- School of Public Health, University of the Western Cape, Bellville, South Africa.,Human and Social Capabilities, Human Sciences Research Council, Cape Town, South Africa
| | - Maretha Opperman
- Functional Food Research Unit, Department of Biotechnology and Consumer Science, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Buhle Mpahleni
- Functional Food Research Unit, Department of Biotechnology and Consumer Science, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Zandile June-Rose Mchiza
- School of Public Health, University of the Western Cape, Bellville, South Africa.,Non-Communicable Diseases Research Unit, South African Medical Research Council, Cape Town, South Africa
| |
Collapse
|
24
|
Hayajneh AA, Alhusban IM, Rababa M, Al-Rawashdeh S, Al-Sabbah S, Bani-Hamad D. Differences in the number of stented coronary arteries based on the seven traditional obesity parameters among patients with coronary artery diseases undergoing cardiac catheterization. ELECTRONIC JOURNAL OF GENERAL MEDICINE 2022. [DOI: 10.29333/ejgm/12215] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
|
25
|
Wu Q, Zhang F, Li R, Li W, Gou D, Wang L. Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study. High Blood Press Cardiovasc Prev 2022; 29:417-428. [PMID: 35776364 DOI: 10.1007/s40292-022-00528-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Accepted: 06/02/2022] [Indexed: 02/08/2023] Open
Abstract
INTRODUCTION This population-based cross-sectional study aimed to identify the best predictor of the 10-year cardiovascular (CV) high risk among old and new anthropometric indices. METHODS We investigated 76,915 adults older than 18 years of age living in southwest China. Ten obesity indices were calculated. The 10-year cardiovascular disease (CVD) risk was estimated using the Framingham risk score. Receiver operating characteristic curve analysis was performed to assess the ability of the anthropometric index to predict the 10-year high risk of CVD events. RESULTS The waist-to-hip ratio (WHR) had the highest area under the curve (AUC) value (0.711; sensitivity: 62.22%, specificity: 42.73%) in men, while the body fat index (BAI) had the lowest AUC value (0.624, sensitivity: 49.07%, specificity: 54.84%). The waist-to-height ratio (WHtR) and the body roundness index (BRI) showed the highest AUC value (0.751, sensitivity: 39.24%, 39.83%, specificity: 75.68%, 68.59%) in women, while the BAI showed the lowest AUC value (0.671, sensitivity: 53.15%, specificity: 57.14%). CONCLUSIONS The WHR was the best anthropometric measure for assessing the 10-year high risk of CVD in men, while the WHtR and BRI were the best measures for women. In men, the WHR should be < 0.88, and in women, the WHtR should be < 0.502 or the BRI should be < 3.41.
Collapse
Affiliation(s)
- Qinqin Wu
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Fan Zhang
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ruicen Li
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Wenyu Li
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Dan Gou
- Health Management Center, West China Hospital, Sichuan University, Chengdu, China
| | - Lin Wang
- Department of Cardiology, West China Hospital, Sichuan University, No.37 Guoxue Road, Chengdu, 610041, Sichuan, China.
| |
Collapse
|
26
|
Lotfi K, Hassanzadeh Keshteli A, Saneei P, Afshar H, Esmaillzadeh A, Adibi P. A Body Shape Index and Body Roundness Index in Relation to Anxiety, Depression, and Psychological Distress in Adults. Front Nutr 2022; 9:843155. [PMID: 35548569 PMCID: PMC9083462 DOI: 10.3389/fnut.2022.843155] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 03/30/2022] [Indexed: 11/25/2022] Open
Abstract
Background Despite the large evidence on the association between obesity and psychological disorders, studies investigating new anthropometric indices in relation to mental health are limited. We aimed to explore the association between A Body Shape Index (ABSI) and Body Roundness Index (BRI) and common psychological disorders (anxiety, depression, and psychological distress) among Iranian adults. Methods In this cross-sectional investigation, anthropometric measures of 3213 Iranian adults were gathered using a validated self-reported questionnaire. ABSI and BRI values of participants were calculated through pre-defined formulas. General Health Questionnaire (GHQ) and Hospital Anxiety and Depression Scale (HADS) validated for Iranians were used to assess psychological distress, anxiety, and depression. Results Mean age of participants was 36.6 ± 7.73, and 62.8% of them were women. ABSI and BRI were higher in subjects with anxiety and psychological distress. Also, depressed participants had higher BRI. After considering potential confounders, individuals in the last tertile of ABSI, compared to the first tertile, had higher odds of anxiety (OR: 1.41, 95%CI: 1.04, 1.93) and psychological distress (OR: 1.39, 95%CI: 1.09, 1.79). Also, a marginal association was found between the highest category of ABSI and depression (OR: 1.27; 95%CI: 1.00, 1.61). In the sex-stratified analysis, ABSI was positively related to odds of anxiety (OR: 1.58; 95%CI; 1.12, 2.22), depression (OR: 1.40; 95%CI; 1.07, 1.84), and psychological distress (OR: 1.51; 95%CI; 1.13, 2.01) among women, but not men. We failed to find any significant association between BRI and depression, anxiety and psychological distress. Conclusion We found that ABSI was associated with anxiety, depression and psychological distress among females, but not males. However, we did not find a significant relation between BRI and the outcomes. Further prospective studies are required to confirm our findings.
Collapse
Affiliation(s)
- Keyhan Lotfi
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran
| | | | - Parvane Saneei
- Department of Community Nutrition, Food Security Research Center, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hamid Afshar
- Psychosomatic Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ahmad Esmaillzadeh
- Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran.,Obesity and Eating Habits Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.,Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Peyman Adibi
- Isfahan Gastroenterology and Hepatology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| |
Collapse
|
27
|
Hozhabrnia A, Jambarsang S, Namayandeh SM. Cut-off values of obesity indices to predict coronary heart disease incidence by time-dependent receiver operating characteristic curve analysis in 10-year follow-up in study of Yazd Healthy Heart Cohort, Iran. ARYA ATHEROSCLEROSIS 2022; 18:1-10. [PMID: 36815958 PMCID: PMC9931948 DOI: 10.48305/arya.2022.24262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 07/25/2021] [Indexed: 02/24/2023]
Abstract
BACKGROUND The current study aimed to determine the optimal cut-off of obesity indices for detecting coronary heart disease (CHD) in 10-year study of Yazd Healthy Heart Cohort (YHHC) in Iran. METHODS A total of 2000 individuals aged 20-74 years were enrolled. All participants without cardiovascular disease (CVD) had a full medical check-up at the start of the study. At the start of the study, a variety of obesity indices were assessed and calculated, including body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), A Body Shape Index (ABSI), abdominal volume index (AVI), body adiposity index (BAI), and body roundness index (BRI). Coronary artery bypass graft (CABG), percutaneous coronary intervention (PCI), myocardial infarction (MI), Rose Angina Questionnaire (RAQ) (chest pain) greater than 3, and electrocardiographic (ECG) changes in favour of the coronary artery disease (CAD) were considered as the CVD risks. A time-dependent receiver operating characteristic (ROC) curve with right-censored data and naive estimator was used to estimate the time-dependent sensitivity and specificity and the best cut-off of the anthropometric indices for CHD risk. RESULTS Overall, 1623 participants (818 men and 805 women) with mean and standard deviation (SD) of weight of 71.21 ± 12.94 kg were included. In a 10-year follow-up, 101 [59 (58.42%) men and 42 (41.58%) women] developed CVD event. WHpR demonstrated the largest area under the time-dependent ROC curve (AUC) of 0.65 and 0.63 as well as 95% confidence interval (CI) of 58.64-72.66 and 50.74-75.55 for men and women, respectively, in predicting CVD. Optimal WHpR cut-off was 0.93 and 0.92, respectively, for men and women. CONCLUSION WHpR index was superior to other obesity indices in predicting CHD.
Collapse
Affiliation(s)
- Abdollah Hozhabrnia
- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Sara Jambarsang
- Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran,Address for correspondence: Sara Jambarsang; Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology,
School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran;
| | - Seyedeh Mahdieh Namayandeh
- Yazd Cardiovascular Research Center, Center for Healthcare Data Modeling, Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| |
Collapse
|
28
|
Li Y, He Y, Yang L, Liu Q, Li C, Wang Y, Yang P, Wang J, Chen Z, Huang X. Body Roundness Index and Waist–Hip Ratio Result in Better Cardiovascular Disease Risk Stratification: Results From a Large Chinese Cross-Sectional Study. Front Nutr 2022; 9:801582. [PMID: 35360688 PMCID: PMC8960742 DOI: 10.3389/fnut.2022.801582] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 02/04/2022] [Indexed: 12/29/2022] Open
Abstract
Background The appropriate optimal anthropometric indices and their thresholds within each BMI category for predicting those at a high risk of cardiovascular disease risk factors (CVDRFs) among the Chinese are still under dispute. Objectives We aimed to identify the best indicators of CVDRFs and the optimal threshold within each BMI category among the Chinese. Methods Between 2012 and 2020, a total of 500,090 participants were surveyed in Hunan, China. Six anthropometric indices including waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist–hip ratio (WHR), hip circumference (HC), and waist–height ratio (WHtR) were evaluated in the present study. Considered CVDRFs included dyslipidaemia, hypertension, diabetes mellitus (DM), and chronic kidney disease (CKD). The associations of anthropometrics with CVDRFs within each BMI category were evaluated through logistic regression models. The area under the receiver operating characteristic curve (AUROC) was used to assess the predictive abilities. Results For the presence of at least one CVDRFs, the WHR had the highest AUROC in overweight [0.641 (95%CI:0.638, 0.644)] and obese [0.616 (95%CI:0.609, 0.623)] men. BRI had the highest AUROC in underweight [0.649 (95%CI:0.629, 0.670)] and normal weight [0.686 (95%CI:0.683, 0.690)] men. However, the BRI had the highest discrimination ability among women in all the BMI categories, with AUROC ranging from 0.641 to 0.727. In most cases, the discriminatory ability of WHtR was similar to BRI and was easier to calculate; therefore, thresholds of BRI, WHR, and WHtR for CVDRFs identification were all calculated. In men, BRI thresholds of 1.8, 3.0, 3.9, and 5.0, WHtR thresholds of 0.41, 0.48, 0.53, and 0.58, and WHR thresholds of 0.81, 0.88, 0.92, and 0.95 were identified as optimal thresholds across underweight, normal weight, overweight, and obese populations, respectively. The corresponding BRI values in women were 1.9, 2.9, 4.0, and 5.2, respectively, and WHtR were 0.41, 0.48, 0.54, and 0.59, while the WHR values were 0.77, 0.83, 0.88, and 0.90. The recommended BRI, WHtR, or WHR cut-offs could not statistically differentiate high-risk CKD or hypercholesterolemia populations. Conclusions We found that BRI and WHR were superior to other indices for predicting CVD risk factors, except CKD or hypercholesterolemia, among the Chinese.
Collapse
Affiliation(s)
- Ying Li
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yongmei He
- Department of Health Management, Aerospace Center Hospital, Beijing, China
| | - Lin Yang
- Department of Cancer Epidemiology and Prevention Research, Cancer Care Alberta, Alberta Health Services, Calgary, AB, Canada
- Departments of Oncology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Qingqi Liu
- Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University, Washington, DC, United States
| | - Chao Li
- Hunan Key Laboratory for Bioanalysis of Complex Matrix Samples, Changsha, China
| | - Yaqin Wang
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Pingting Yang
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jiangang Wang
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zhiheng Chen
- Department of Health Management, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Xin Huang
- Department of Epidemiology, School of Medicine, Hunan Normal University, Changsha, China
- *Correspondence: Xin Huang
| |
Collapse
|
29
|
Wu T, Wei B, Song YP, Zhang XH, Yan YZ, Wang XP, Ma JL, Keerman M, Zhang JY, He J, Ma RL, Guo H, Rui DS, Guo SX. Predictive power of A Body Shape Index and traditional anthropometric indicators for cardiovascular disease:a cohort study in rural Xinjiang, China. Ann Hum Biol 2022; 49:27-34. [PMID: 35254201 DOI: 10.1080/03014460.2022.2049874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
BACKGROUND A body shape index (ABSI) has been proven to be related to a population's CVD incidence. However, the application of this indicator has produced different results. AIM This study aimed to evaluate the applicability of the ABSI in predicting the incidence of CVD in rural Xinjiang, China, and compare it with waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body mass index (BMI). SUBJECTS AND METHODS 5375 people aged 18 years or older were included in the study. We used the Cox proportional hazard model to evaluate the relationship between WC, WHR, WHtR, BMI, and ABSI and the incidence of CVD, the area under the curve (AUC) to evaluate the predictive power of each anthropometric index for the incidence of CVD, and restricted cubic splines are used to analyse the trend relationship between anthropometric indicators and the incidence of CVD. RESULTS After multivariate adjustment, standardized WC, WHR, WHtR, BMI, and ABSI all positively correlated with the incidence of CVD. WC had the highest HR (95% CI) value, 1.64 (1.51-1.78), and AUC (95% CI) value, 0.7743 (0.7537-0.7949). ABSI had the lowest HR (95% CI) value, 1.21(1.10-1.32), and AUC (95% CI) value, 0.7419 (0.7208-0.7630). In the sex-specific sensitivity analysis, the predictive ability of traditional anthropometric indicators for the incidence of CVD is higher than that of ABSI. CONCLUSIONS In the rural areas of Xinjiang, the traditional anthropometric indicators of WC had better ability to predict the incidence of CVD than ABSI.
Collapse
Affiliation(s)
- Tao Wu
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China
| | - Bin Wei
- The First Affiliated Hospital of Shihezi University Medical College, Shihezi, Xinjiang, China
| | - Yan-Peng Song
- The First Affiliated Hospital of Shihezi University Medical College, Shihezi, Xinjiang, China
| | - Xiang-Hui Zhang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Yi-Zhong Yan
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Xin-Ping Wang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Jiao-Long Ma
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Mulatibieke Keerman
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Jing-Yu Zhang
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Jia He
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Ru-Lin Ma
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Heng Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Dong-Sheng Rui
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| | - Shu-Xia Guo
- Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China.,NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Shihezi, Xinjiang, China
| |
Collapse
|
30
|
Wu M, Yu X, Xu L, Wu S, Tian Y. Associations of longitudinal trajectories in body roundness index with mortality and cardiovascular outcomes: a cohort study. Am J Clin Nutr 2022; 115:671-678. [PMID: 34918019 DOI: 10.1093/ajcn/nqab412] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 12/13/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The body roundness index (BRI) is a new anthropometric index that combines height and waist circumference to predict the percentages of total and regional fat. The longitudinal trajectories of BRI can reflect the long-term pattern of BRI changes; however, their effects on the incidence of cardiovascular disease (CVD) and mortality are poorly characterized. OBJECTIVES Our aim was to identify BRI trajectories and to estimate their associations with mortality and incident CVD events. METHODS This study included a total of 59,278 participants (mean age, 54.8 years) free of malignant tumors and CVD and with repeated measurements of BRI from 2006 to 2012. The BRI trajectories from 2006 to 2012 were identified using the latent mixture model. A Cox proportional hazards model was used to analyze the associations between BRI trajectories and the risk of CVD events and mortality. RESULTS We grouped the BRI trajectories into 4 distinct groups during 2006-2012: low-stable (mean BRI = 2.7), moderate-stable (mean BRI = 3.7), moderate-high-stable (mean BRI = 4.7), and high-stable (mean BRI = 5.8). We identified 1928 CVD events and 2928 deaths during the follow-up. After adjustment for potential confounders, compared with the low-stable group, the HRs of CVD were 1.37 (95% CI: 1.19-1.58) for the moderate-stable group, 1.64 (95% CI: 1.40-1.91) for the moderate-high-stable group, and 2.03 (95% CI: 1.64-2.52) for the high-stable group. We observed similar associations for myocardial infarction and ischemic stroke. The association between BRI trajectories and CVD was more prominent in subjects aged <55 years. CONCLUSIONS BRI trajectories were significantly associated with the risk of CVD, and the association was more evident in younger adults.
Collapse
Affiliation(s)
- Mingyang Wu
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiao Yu
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Luli Xu
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan City, China
| | - Yaohua Tian
- Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
31
|
Chen R, Ji L, Chen Y, Meng L. Weight-to-height ratio and body roundness index are superior indicators to assess cardio-metabolic risks in Chinese children and adolescents: compared with body mass index and a body shape index. Transl Pediatr 2022; 11:318-329. [PMID: 35378962 PMCID: PMC8976678 DOI: 10.21037/tp-21-479] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 01/18/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVE To assess the relationship between five anthropometric indicators, which includes body mass index (BMI), weight-to-height ratio (WHtR), a body shape index (ABSI), ABSI-adolescents, and body roundness index (BRI) in Chinese children and adolescents, and select which could better predict cardio-metabolic risk factors (CMRFs). METHODS Cross-sectional study with 1,587 participants aged 3 to 17 years. Five anthropometric indicators were calculated according to weight, height and waist circumference (WC). Anthropometric measurements and laboratory indicators were used to diagnose CMRFs, which included hypertension, dyslipidemia, impaired fasting glucose and abdominal obesity. Partial correlation analysis was used to evaluate the relationship among anthropometric indicators, area under the receiver operating characteristic curve (AUCs) were used to compare the predict ability of each anthropometric indicators, the cut-off value, sensitivity, specificity and Youden Index of each indicator were calculated. RESULTS In 3-6 years old children, ABSI-adolescent positively correlated with WC (r=0.727, P<0.001), BMI (r=0.218, P<0.001) and WHtR (r=0.752, P<0.001), and in 7-17 years old participants, the correlation coefficients increased to 0.842, 0.563 and 0.850 (P<0.001), respectively. BRI were strong correlated with BMI, WHtR and ABSI-adolescents in both age group (P<0.001). In 3-6 years group, the ROC analysis showed that BMI and ABSI were significantly better in identifying hypertension in both genders, WHtR and BRI were significantly better in identifying abdominal obesity in girls, but all of them were failed in identifying dyslipidemia and hyperglycemia. In 7-17 years group, WHtR and BRI were significantly better in identifying hypertension, dyslipidemia, abdominal obesity in both genders, BMI and ABSI performed better in identifying hyperglycemia in girls. CONCLUSIONS In Chinese children aged 3-6 years, there is no indicator performed best in all the CMRFs, in 7-17 years old teenagers, WHtR and BRI can be recommended to identify hypertension, dyslipidemia, abdominal obesity and clustered CMRFs in both genders. However, ABSI showed weak discriminative power.
Collapse
Affiliation(s)
- Rui Chen
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
| | - Lang Ji
- Central Laboratory, Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Yitong Chen
- Infectious Diseases Control and Prevention Division, Daxing Center for Disease Control and Prevention, Beijing, China
| | - Linghui Meng
- Center for Evidence-Based Medicine, Capital Institute of Pediatrics, Beijing, China
| |
Collapse
|
32
|
Anto EO, Frimpong J, Boadu WIO, Tamakloe VCKT, Hughes C, Acquah B, Acheampong E, Asamoah EA, Opoku S, Appiah M, Tawiah A, Annani-Akollor ME, Wiafe YA, Addai-Mensah O, Obirikorang C. Prevalence of Cardiometabolic Syndrome and its Association With Body Shape Index and A Body Roundness Index Among Type 2 Diabetes Mellitus Patients: A Hospital-Based Cross-Sectional Study in a Ghanaian Population. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2022; 2:807201. [PMID: 36994331 PMCID: PMC10012128 DOI: 10.3389/fcdhc.2021.807201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 12/22/2021] [Indexed: 11/13/2022]
Abstract
Cardiometabolic syndrome (MetS) is closely linked to type 2 diabetes mellitus (T2DM) and is the leading cause of diabetes complications. Anthropometric indices could be used as a cheap approach to identify MetS among T2DM patients. We determined the prevalence of MetS and its association with sociodemographic and anthropometric indices among T2DM patients in a tertiary hospital in the Ashanti region of Ghana. A comparative cross-sectional study was conducted among 241 T2DM outpatients attending the Komfo Anokye Teaching Hospital (KATH) and the Kumasi South Hospital for routine check-up. Sociodemographic characteristics, clinicobiochemical markers, namely, systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG), and glycated hemoglobin (HbA1C) were measured. Anthropometric indices, namely, body mass index (BMI), Conicity index (CI), body adiposity index (BAI), A body shape index (ABSI), body roundness index (BRI), Waist-to-hip ratio (WHR), and Waist-to-height ratio (WHtR) were computed based on either the Height, Weight, Waist circumference (WC) or Hip circumference (HC) of the patients. Metabolic syndrome (MetS) was classified using the National Cholesterol Education Program (NCEP) Adult Treatment Panel III (ATP III) criteria. Data entry and analysis were done using Excel 2016 and SPSS version 25.0 respectively. Of the 241 T2DM patients, 99 (41.1%) were males whereas 144 (58.9%) were females. The prevalence of cardiometabolic syndrome (MetS) was 42.7% with dyslipidemia and hypertension recording a prevalence of 6.6 and 36.1%, respectively. Being a female T2DM patient [aOR = 3.02, 95%CI (1.59-5.76), p = 0.001] and divorced [aOR = 4.05, 95%CI (1.22-13.43), p = 0.022] were the independent sociodemographic predictors of MetS among T2DM patients. The 4th quartile for ABSI and 2nd to 4th quartiles for BSI were associated with MetS on univariate logistic regression (p <0.05). Multivariate logistic regression identified the 3rd quartile (aOR = 25.15 (2.02-313.81), p = 0.012) and 4th quartile (aOR = 39.00, 95%CI (2.68-568.49), p = 0.007) for BRI as the independent predictors of MetS among T2DM. The prevalence of cardiometabolic syndrome is high among T2DM patients and this was influenced by female gender, being divorced, and increased BRI. Integration of BRI as part of routine assessment could be used as early indicator of cardiometabolic syndrome among T2DM patients.
Collapse
Affiliation(s)
- Enoch Odame Anto
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Joseph Frimpong
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Wina Ivy Ofori Boadu
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | | | - Charity Hughes
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Benjamin Acquah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Emmanuel Acheampong
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
- Department of Molecular Medicine, School of Medicine and Dentistry, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Evans Adu Asamoah
- Department of Molecular Medicine, School of Medicine and Dentistry, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Stephen Opoku
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Michael Appiah
- Department of Medical Laboratory Technology, Accra Technical University, Accra, Ghana
| | - Augustine Tawiah
- Department of Obstetrics and Gynaecology, Komfo Anokye Teaching Hospital, Kumasi, Ghana
| | - Max Efui Annani-Akollor
- Department of Molecular Medicine, School of Medicine and Dentistry, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Yaw Amo Wiafe
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Otchere Addai-Mensah
- Department of Medical Diagnostics, Faculty of Allied Health Sciences, College of Health Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Christian Obirikorang
- Department of Molecular Medicine, School of Medicine and Dentistry, College of Health Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana
| |
Collapse
|
33
|
Cai S, Dong J, Cheng B, Zhang A, Sun J, Li M, Su Y, Bao Q, Zhu P, Wang S. Relationship of a new anthropometric index with left ventricular hypertrophy in hypertensive patients among the Han Chinese. BMC Cardiovasc Disord 2022; 22:16. [PMID: 35081909 PMCID: PMC8793153 DOI: 10.1186/s12872-022-02463-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 01/17/2022] [Indexed: 01/20/2023] Open
Abstract
Background This study aimed to assess the relationship of a new anthropometric index with left ventricular hypertrophy (LVH) in hypertensive patients among the Han Chinese. Methods The study is a community-based cross-sectional study that included 4639 patients with hypertension and integrated clinical and echocardiographic data. Left ventricular (LV) mass was measured by transthoracic echocardiography. LVH was diagnosed by using the criteria of left ventricular mass indexed (LVMI) over 49.2 g/m2.7 for men and 46.7 g/m2.7 for women. Quartiles of a body shape index (ABSI), body roundness index (BRI), waist circumference (WC), and body mass index (BMI) were used regarding LVH prevalence. The logistic regression model was used to determine the odds ratio (OR) and 95% confidence intervals (CI) of the new anthropometric index and LVH. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive ability of the obesity indices for LVH risk.
Results The prevalence of LVH increased across quartiles for ABSI, BRI, BMI, and WC. Comparing the lowest with the highest quartile, adjusted OR (95% CI) for LVH were significantly different for BRI 3.86 (3.12–4.77), BMI 3.54 (2.90–4.31), and WC 2.29 (1.88–2.78). No association was observed for ABSI. According to ROC analysis, the area under the curve (AUC) of BRI was (AUC: 0.653, 95% CI 0.637–0.669), BMI (AUC: 0.628, 95% CI 0.612–0.644), WC (AUC: 0.576, 95% CI 0.559–0.593), ABSI (AUC: 0.499, 95% CI 0.482–0.516). Conclusions This study shows that LVH prevalence increased per quartile across the Han Chinese population with hypertension for ABSI, BRI, BMI, and WC. There is a significant association between BRI and LVH in hypertensive people, while ABSI was not. BRI showed potential for use as an alternative obesity measure in the assessment of LVH.
Collapse
Affiliation(s)
- Shuang Cai
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Jing Dong
- Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Bokai Cheng
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Anhang Zhang
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Jin Sun
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Man Li
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Yongkang Su
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Qiligeer Bao
- Medical School of Chinese PLA, Beijing, China.,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China
| | - Ping Zhu
- Medical School of Chinese PLA, Beijing, China. .,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
| | - Shuxia Wang
- Medical School of Chinese PLA, Beijing, China. .,Department of Geriatrics, the 2nd Medical Center, Chinese PLA General Hospital, 28 Fuxing Road, Beijing, 100853, China.
| |
Collapse
|
34
|
The waist-to-body mass index ratio as an anthropometric predictor for cardiovascular outcome in subjects with established atherosclerotic cardiovascular disease. Sci Rep 2022; 12:804. [PMID: 35039542 PMCID: PMC8764082 DOI: 10.1038/s41598-021-04650-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Accepted: 12/23/2021] [Indexed: 01/01/2023] Open
Abstract
Obesity is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). However, ‘obesity paradox’ is observed in patients with coronary artery disease while defining obesity by body mass index (BMI). The purpose of this study is to identify a better anthropometric parameter to predict cardiovascular events in patients with ASCVD. The study was conducted using the Taiwanese Secondary Prevention for patients with AtheRosCLErotic disease (T-SPARCLE) Registry. A total of 6,920 adult patients with stable ASCVD, enrolled from January 2010 to November 2014, were included, with a mean age of 65.9 years, 73.9% males, and a mean BMI of 26.3 kg/m2 at baseline. These patients were followed up for a median of 2.5 years. The study endpoint was the composite major adverse cardiovascular event (MACE), defined as cardiovascular death, nonfatal myocardial infarction or stroke, or cardiac arrest with resuscitation. Multivariable Cox proportional hazards regression showed a significant positive association between waist-to-BMI ratio and MACE (adjusted hazard ratio 1.69 per cm‧m2/kg increase in waist-to-BMI ratio, 95% CI 1.12–2.49, p = 0.01) after adjusting for potential risk factors and confounders. Traditional anthropometric parameters, such as BMI, weight, waist and waist-hip ratio, or newer waist-based indices, such as body roundness index and a body shape index, did not show any significant linear associations (p = 0.09, 0.30, 0.89, 0.54, 0.79 and 0.06, respectively). In the restricted cubic spline regression analysis, the positive dose–response association between waist-to-BMI ratio and MACE persisted across all the range of waist-to-BMI ratio. The positive dose–response association was non-linear with a much steeper increase in the risk of MACE for waist-to-BMI ratio > 3.6 cm‧m2/kg. In conclusion, waist-to-BMI ratio may function as a positive predictor for the risk of MACE in established ASCVD patients.
Collapse
|
35
|
Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults. NUTR HOSP 2022; 39:794-802. [DOI: 10.20960/nh.03966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
|
36
|
Farahmand M, Bahri Khomamid M, Rahmati M, Azizi F, Ramezani Tehrani F. Aging and changes in adiposity indices: the impact of menopause. J Endocrinol Invest 2022; 45:69-77. [PMID: 34255310 DOI: 10.1007/s40618-021-01616-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 06/14/2021] [Indexed: 12/25/2022]
Abstract
PURPOSE Aging is associated with significant changes in fat distribution and menopause may alter this process. This study aimed to investigate the longitudinal effect of menopause on changes in adiposity indices (AI). METHODS A total number of 3876 non-menopausal women, aged > 20 years, who participated in the Tehran Lipid and Glucose study, were selected for the present study. They were followed from 1998 to 2018 at a 3-year interval and their adiposity indices were measured. Throughout the study, participants were categorized into two groups according to their menopausal status as group 1): women who reached menopause and group 2): women who did not reach menopause. The generalized estimation equation (GEE) models were used to compare the trend of changes in AIs between these two groups. RESULTS At the end of the study, a total number of 1479 (38.2%) participants reached menopause. The odds of general obesity decreased by 5% (OR: 0.95, 95% CI: 0.90-0.99), and the odds of central obesity increased by 6% in group1 compared to group2 (OR: 1.06, 95% CI: 1.01-1.12). CONCLUSIONS Menopause alters the impact of aging on central fat distribution. Increasing awareness of the related risk in menopausal women and their healthcare professional may prevent adverse related outcomes.
Collapse
Affiliation(s)
- M Farahmand
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh St., Yaman St., Velenjak, PO Box 19395-4763, Tehran, Iran
| | - M Bahri Khomamid
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Vic, Australia
| | - M Rahmati
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh St., Yaman St., Velenjak, PO Box 19395-4763, Tehran, Iran
| | - F Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - F Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh St., Yaman St., Velenjak, PO Box 19395-4763, Tehran, Iran.
| |
Collapse
|
37
|
Demir Ş, Kara Y, Melikoğlu M, Aydın K, Özderya A, Subaşı HE, Dabak MR, Temizkan Ş. New Anthropometric Measurements: Relationship to Thyroid Functions in Euthyroid Obese Subjects. Cureus 2021; 13:e20435. [PMID: 35047272 PMCID: PMC8759458 DOI: 10.7759/cureus.20435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 11/10/2022] Open
Abstract
Introduction Body mass index (BMI) is unable to make a distinction between muscle mass and fat mass. Therefore, new anthropometric measurements, such as a body shape index (ABSI), body round index (BRI), and body adiposity index (BAI), have been formulated in recent years. Many studies have reported a correlation between BMI and thyroid function. In this study, we aimed to investigate the relationship between the above-mentioned new anthropometric measurements and thyroid functions in euthyroid obese subjects. Methods We included 675 euthyroid (TSH ≥ 0.4 and < 4.5 mIU/l) individuals from the obesity outpatient clinic, aged between 18 and 65 years old, with BMI ≥ 30. Thyroid-stimulating hormone (TSH), free T4 (fT4) and free T3 (fT3), anthropometric measurements (weight, height, and waist circumference), and bioelectric impedance analyses [percent body fat (PBF) and fat-free mass (FFM)] of individuals were measured and recorded. ABSI, BRI, and BAI were calculated with the data from these measurements. Anthropometric measurements were compared to thyroid function tests. Results Eighty percent of the subjects were female. The mean age and BMI were 38 ± 17 years and 38 ± 6 kg/m2, respectively. TSH was found to be negatively correlated with ABSI (p = 0.006) and positively correlated with BAI (p < 0.001), but a statistically significant relationship with BRI (p = 0.193) was not determined. Free T4 was not associated with any of the anthropometric measurements.While fT3 was determined to be positively correlated with ABSI (p = 0.008) and negatively correlated with PBF and BAI (p = 0.001, p = 0.002, respectively), no statistically significant relationship with fT3 and BRI was determined. Conclusion TSH is positively correlated with measurements of adiposity such as BMI, PBF, BAI while indexes in which abdominal obesity increases, such as waist circumference (WC), waist-hip ratio (WHR), and ABSI, are correlated with fT3 levels.
Collapse
|
38
|
Predictive capacity and cut-off points of adiposity indices for body fat prediction according to adolescent periods. Br J Nutr 2021; 126:1673-1681. [PMID: 33509325 DOI: 10.1017/s0007114521000398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Overweight is increasing in the adolescent population and became a public health problem in the world. This study aimed to identify the body adiposity indices (BAI) with the best capacity to predict excess fat tissue and propose cut-off points for them, according to sex and adolescence period. This is a cross-sectional study. We calculated BMI, conicity index (CI), BAI, body roundness index (BRI), waist:height ratio (WtHR) and waist:hip ratio. Predictive capacity and cut-off points of adiposity indices were established by ROC (receiver operating characteristic) curves. We determined AUC-ROC and CI, stratified by sex and adolescence period. The best index to identify excess body fat in 10-13-year-old female adolescents was the WtHR (AUC = 0·92), like the BAI in girls aged from 14 to 16 years old (AUC = 0·87) and 17 to 19 years old (AUC = 0·80). In male adolescents aged from 10 to 13 years old and 14 to 16 years old, the best index was the WtHR (AUC = 0·93 and AUC = 0·8, respectively), like the BAI in boys aged from 17 to 19 years old (AUC = 0·95). The use of indices with specific cut-off points for each period of adolescence and according to sex is important for the reliable diagnosis of excess body fat. It is advisable to use indices together to obtain a more accurate assessment. Thus, the WtHR and BAI are reproducible and reliable, with high sensitivity and specificity values, and can be used together with the BMI.
Collapse
|
39
|
Farahmand M, Ramezani Tehrani F, Rahmati M, Azizi F. Anthropometric Indices and Age at Natural Menopause: A 15-Year Follow-up Population-Based Study. Int J Endocrinol Metab 2021; 19:e109285. [PMID: 35043051 PMCID: PMC8761485 DOI: 10.5812/ijem.109285] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 02/02/2021] [Accepted: 04/19/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Following menopause, the risk of many diseases is increased, and this situation may be due to changes in anthropometric indices (AI), while the association between adiposity and age at natural menopause (ANM) is not clear yet. OBJECTIVES This longitudinal study was conducted to investigate the ability of AI in predicting ANM. METHODS For this purpose, a total of 3,876 women aged > 20 years old from participants of the Tehran lipid and glucose study (TLGS) met our eligibility criteria. The association between ANM and various AIs was assessed using the Accelerated Failure Time (AFT) model, and time ratio (TR) with 95% confidence intervals was reported in this longitudinal study. RESULTS The median [interquartile range (IQR) 25 - 75] of the survival time was 12.5 (7.9 - 15.8) years. At the end of the follow-up, 1,479 (38.2%) of the participants reached menopause. The median time to natural menopause was decreased by about 2% with one standard deviation (SD) increase of both a body shape index (ABSI) (time ratio (TR): 0.98, 95% CI: 0.97, 0.99) and lipid accumulation product (LAP) (TR: 0.98, 95% CI: 0.98, 0.99) z-scores; and this time was increased by about 1% (TR: 1.01, 95% CI: 1.00, 1.02) with one SD increase in body mass index (BMI) z-score. CONCLUSIONS The ABSI, LAP, and BMI were the most useful AIs for identification of the time to menopause onset, and ABSI and LAP were inversely associated with the ANM. Also, the BMI was directly associated with the ANM.
Collapse
Affiliation(s)
- Maryam Farahmand
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fahimeh Ramezani Tehrani
- Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
- Corresponding Author: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Maryam Rahmati
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
40
|
Agius R, Pace NP, Fava S. Characterisation of body size phenotypes in a middle-aged Maltese population. J Nutr Sci 2021; 10:e81. [PMID: 34616552 PMCID: PMC8477348 DOI: 10.1017/jns.2021.74] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 08/03/2021] [Accepted: 08/19/2021] [Indexed: 12/23/2022] Open
Abstract
Obesity is increasingly recognised as being a heterogeneous disease. Some obese individuals may present a metabolically healthy profile (metabolically healthy obese (MHO)), while some normal weight individuals exhibit an adverse cardiometabolic phenotype (metabolically unhealthy normal weight individuals (MUHNW)). The objectives of the present study were to examine the prevalence and associated characteristics of the different body composition phenotypes within a Maltese cohort. This was a cross-sectional analysis involving 521 individuals aged 41 ± 5 years. The metabolically unhealthy state was defined as the presence of ≥2 metabolic syndrome components (NCEP-ATPIII parameters), while individuals with ≤1 cardiometabolic abnormalities were classified as metabolically healthy. Overall, 70 % of the studied population was overweight or obese and 30⋅7 % had ≥2 cardiometabolic abnormalities. The prevalence of MHO and MUHNW was 10⋅7 and 2⋅1 %, respectively. Individuals with the healthy phenotype were more likely to consume alcohol, participate in regular physical activity and less likely to be smokers. While the MHO phenotype had similar values for waist, hip and neck circumferences, waist-hip ratio and insulin resistance when compared with MUHNW individuals, there was a lower proportion of MHO subjects having a high fasting plasma glucose, hypertriglyceridaemia or low HDL-C when compared with the unhealthy lean individuals. A high prevalence of the metabolically unhealthy phenotype was observed in this relatively young population which may result in significant future cardiovascular disease burden if timely assessment and management of modifiable risk factors are not implemented. Furthermore, the present study suggests that the MHO phenotype is not totally benign as previously thought.
Collapse
Affiliation(s)
- Rachel Agius
- Faculty of Medicine and Surgery, University of Malta, Tal-Qroqq, Msida, Malta
- Mater Dei Hospital, Triq Dun Karm, Msida, MSD 2090, Malta
| | - Nikolai Paul Pace
- Faculty of Medicine and Surgery, University of Malta, Tal-Qroqq, Msida, Malta
| | - Stephen Fava
- Faculty of Medicine and Surgery, University of Malta, Tal-Qroqq, Msida, Malta
- Mater Dei Hospital, Triq Dun Karm, Msida, MSD 2090, Malta
| |
Collapse
|
41
|
Nosrati-Oskouie M, Arefinia S, Eslami Hasan Abadi S, Norouzy A, Khedmatgozar H, Aghili-Moghaddam NS, Alinezhad-Namaghi M, Shadmand Foumani Moghadam MR, Rezvani R. Evaluation of non-invasive arterial stiffness parameters and their relationship with physical activity, anthropometric indices and lipid profiles in healthy middle-aged adults: Results of the PERSIAN cohort study. Int J Clin Pract 2021; 75:e14275. [PMID: 33914387 DOI: 10.1111/ijcp.14275] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/02/2021] [Accepted: 04/26/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Arterial stiffness (AS) indicates the initial stage of cardiovascular disease (CVD), which is associated with modifiable and lifestyle risk factors. We aimed to examine the association of AS with anthropometric indices, lipid profiles and physical activity (PA). METHODS Six hundred and fifty-eight healthy middle-aged adults were selected and anthropometric indices [body mass index, waist circumferences (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), neck circumferences, a body shape index (ABSI), body roundness index (BRI), body fat mass (BFM), visceral fat area, fat-free mass (FFM), lipid profiles and PA] were measured. AS is measured by carotid-femoral pulse wave velocity (cf-PWV) and central augmentation index (cAIx). RESULTS Our results show that cf-PWV was positively associated with TGs (β = 0.10, P = .01) and anthropometric indices correlated with WC (β = 0.11, P = .02), WHR (β = 0.09, P = .03), WHtR (β = 0.1, P = .02) and BRI (β = 0.09, P = .04). cAIx was independently positively associated with cholesterol (β = 0.08, P = .03), WC (β = 0.1, P = .03), WHR (β = 0.09, P = .02), ABSI (β = 0.09, P = .01), BRI (β = 0.08, P = .05), visceral fat area (β = 0.09, P = .03) and BFM (β = 0.08, P = .04) and negatively associated with PA (β = -0.08, P = .03). CONCLUSIONS WC, WHR and BRI were associated with both cf-PWV and cAIx. TGs and WHtR were associated with cf-PWV, while cAIx was associated with ABSI, improving these indices may be helpful to prevent CVD.
Collapse
Affiliation(s)
- Mohammad Nosrati-Oskouie
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition Sciences and Food Technology, Tabriz University of Medical Sciences, Tabriz, Iran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Sajjad Arefinia
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Student Research Committee, Department of nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Saeed Eslami Hasan Abadi
- Department of Medical Informatics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Abdolreza Norouzy
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamed Khedmatgozar
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Center for Biotechnology and Genomics, Texas Tech University, Lubbock, TX, USA
| | - Nazanin Sadat Aghili-Moghaddam
- Student Research Committee, Department of nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Maryam Alinezhad-Namaghi
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | | | - Reza Rezvani
- Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| |
Collapse
|
42
|
Cut-off values and clinical efficacy of body roundness index and other novel anthropometric indices in identifying metabolic syndrome and its components among Southern-Indian adults. Diabetol Int 2021; 13:188-200. [DOI: 10.1007/s13340-021-00522-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/06/2021] [Indexed: 10/20/2022]
|
43
|
Piqueras P, Ballester A, Durá-Gil JV, Martinez-Hervas S, Redón J, Real JT. Anthropometric Indicators as a Tool for Diagnosis of Obesity and Other Health Risk Factors: A Literature Review. Front Psychol 2021; 12:631179. [PMID: 34305707 PMCID: PMC8299753 DOI: 10.3389/fpsyg.2021.631179] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 06/07/2021] [Indexed: 12/18/2022] Open
Abstract
Obesity is characterized by the accumulation of an excessive amount of fat mass (FM) in the adipose tissue, subcutaneous, or inside certain organs. The risk does not lie so much in the amount of fat accumulated as in its distribution. Abdominal obesity (central or visceral) is an important risk factor for cardiovascular diseases, diabetes, and cancer, having an important role in the so-called metabolic syndrome. Therefore, it is necessary to prevent, detect, and appropriately treat obesity. The diagnosis is based on anthropometric indices that have been associated with adiposity and its distribution. Indices themselves, or a combination of some of them, conform to a big picture with different values to establish risk. Anthropometric indices can be used for risk identification, intervention, or impact evaluation on nutritional status or health; therefore, they will be called anthropometric health indicators (AHIs). We have found 17 AHIs that can be obtained or estimated from 3D human shapes, being a noninvasive alternative compared to X-ray-based systems, and more accessible than high-cost equipment. A literature review has been conducted to analyze the following information for each indicator: definition; main calculation or obtaining methods used; health aspects associated with the indicator (among others, obesity, metabolic syndrome, or diabetes); criteria to classify the population by means of percentiles or cutoff points, and based on variables such as sex, age, ethnicity, or geographic area, and limitations.
Collapse
Affiliation(s)
- Paola Piqueras
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Alfredo Ballester
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Juan V. Durá-Gil
- Instituto de Biomecánica de Valencia, Universitat Politècnica de Valencia, Valencia, Spain
| | - Sergio Martinez-Hervas
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| | - Josep Redón
- Department of Internal Medicine, Hospital Clínico de Valencia, University of Valencia, Valencia, Spain
- CIBER Fisiopatología Obesidad y Nutrición (CB06/03), Instituto de Salud Carlos III, Madrid, Spain
- Cardiovascular and Renal Risk Research Group, Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), University of Valencia, Valencia, Spain
| | - José T. Real
- Service of Endocrinology and Nutrition, Hospital Clínico Universitario de Valencia, Valencia, Spain
- Institute of Health Research of the Hospital Clinico Universitario de Valencia (INCLIVA), Valencia, Spain
- Department of Medicine, University of Valencia, Valencia, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Madrid, Spain
| |
Collapse
|
44
|
Kiremitli T, Kiremitli S, Ulug P, Dinc K, Uzel K, Arslan YK. Are the body shape index, the body roundness index and waist-to-hip ratio better than BMI to predict recurrent pregnancy loss? Reprod Med Biol 2021; 20:327-333. [PMID: 34262401 PMCID: PMC8254164 DOI: 10.1002/rmb2.12388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 04/09/2021] [Accepted: 04/30/2021] [Indexed: 11/23/2022] Open
Abstract
PURPOSE Etiology could not be determined in approximately 50% of recurrent pregnancy loss cases, and it was named unexpected recurrent pregnancy loss(URPL). A body shape index(ABSI), body roundness index(BRI), and waist-to-hip ratio(WtHR) are new indexes that are superior to BMI in showing body fat distribution. We aimed to investigate the potency of ABSI, BRI, and WtHR in URPL, their superiority to BMI, and their suitability for clinical use. METHODS One hundred and thirty-eight patients between the ages of 20-40 who applied to our hospital for URPL between January 2016 and December 31, 2020 were included in our study. Weight, height, waist circumference, and hip circumference were measured, and indexes were calculated. Differences between the URPL and control groups were calculated using the IBM SPSS program. RESULTS There was a significant difference between the two groups for BRI, ABSI, and WtHR values, while there was no significant difference in BMI. BRI(4.4 ± 1.7vs3.9 ± 1.5), ABSI(0.08 ± 0.005 vs 0.078 ± 0.004), and WtHR(0.84 ± 0.06vs0.82 ± 0.05) values were higher in the URPL group. ROC analysis showed us that BRI, ABSI, and WtHR have a diagnostic value for URPL(P < .05). When indexes were above the cutoff values, RPL risk increased 3.59 times in ABSI, 2.26 times in BRI, and 2.9 times in WtHR(P < .05). CONCLUSIONS The relationship between obesity and URPL can be explained more clearly by using effective indexes that show body fat distribution rather than BMI. Ethics committee approval was obtained from Erzincan Binali Yildirim University in 14.01.2021. Clinical Research Ethics Committee no: 01/01.
Collapse
Affiliation(s)
- Tunay Kiremitli
- Medical Faculty, Obstetrics and Gynaecology DepartmentErzincan Binali Yildirim UniversityErzincanTurkey
| | - Sevil Kiremitli
- Medical Faculty, Obstetrics and Gynaecology DepartmentErzincan Binali Yildirim UniversityErzincanTurkey
| | - Pasa Ulug
- Medical Faculty, Obstetrics and Gynaecology DepartmentErzincan Binali Yildirim UniversityErzincanTurkey
| | - Kemal Dinc
- Medical Faculty, Obstetrics and Gynaecology DepartmentErzincan Binali Yildirim UniversityErzincanTurkey
| | - Kemine Uzel
- Medical Faculty, Obstetrics and Gynaecology DepartmentErzincan Binali Yildirim UniversityErzincanTurkey
| | - Yusuf Kemal Arslan
- Biostatistics DepartmentMedical FacultyErzincan Binali Yildirim UniversityErzincanTurkey
| |
Collapse
|
45
|
Does Physical Activity Level Affect Homocysteine and Obesity Variables in Women with Cardiovascular Disease? MEDICAL LABORATORY JOURNAL 2021. [DOI: 10.52547/mlj.15.4.21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
|
46
|
Dzudie A, Njedock N, Boombhi J, Ba H, Amougou SN, Kamdem F, Barche B, Nzali A, Njomou A, Ngwasiri C, Geh MM, Azabji M, Mefire AC, Njamnshi AK, Kingue S, Empana JP, Sobngwi E, Etoundi Ngoa LS, Kengne AP. Association between measures of adiposity and blood pressure levels in adult Cameroonians. Health Sci Rep 2021; 4:e259. [PMID: 33977153 PMCID: PMC8093855 DOI: 10.1002/hsr2.259] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Revised: 12/24/2020] [Accepted: 01/26/2021] [Indexed: 01/02/2023] Open
Abstract
INTRODUCTION Several anthropometric measurements are variably recommended to assess adiposity in routine practice, with less agreement on their comparative performance. We assessed and compared the relationship of seven anthropometric measures of adiposity-waist circumference (WC), waist-to-height ratio (WHtR), Body Mass Index (BMI), Ponderal Index (PI), Conicity Index (C index), A Body Shape Index (ABSI), and Body Roundness Index (BRI)-with blood pressure (BP) levels and prevalent hypertension in adult Cameroonians. METHODS Data were collected as Cameroon's contribution to the global May Measurement Month 2017(MMM17) survey. Participants were nonpregnant adults, who had no BP measurement in the past year and with no prior hypertension diagnosis. Hypertension was defined as systolic BP ≥140 mm Hg and/or diastolic ≥90 mm Hg. Odds ratios (ORs) for the presence of hypertension per 1 SD increase in each adiposity metrics were estimated in separate logistic regression models. Assessment and comparison of discrimination used the area under the receiver operating characteristics curve (AUC) and nonparametric methods. RESULTS We included 14 424 participants (8210 [58.25%] female; 39.84 ± 14.33 years). There was a graded association between measures of adiposity and prevalent screen-detected (newly diagnosed) hypertension, with effect sizes being mostly within the same range across measures of adiposity. AUC for hypertension prediction ranged from 0.709 with PI to 0.721 with BRI for single measures, and from 0.736 to 0.739 with combinations of measures of adiposity. CONCLUSION WC, WHtR, and BRI were strongly associated with BP and better predicted prevalent hypertension, with effects enhanced with the inclusion of BMI.
Collapse
Affiliation(s)
- Anastase Dzudie
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
- Clinical Research Education Networking and Consultancy (CRENC) DoualaDoualaCameroon
- Service of Internal Medicine and Subspecialties, Douala General HospitalDoualaCameroon
| | - Nelson Njedock
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
- Clinical Research Education Networking and Consultancy (CRENC) DoualaDoualaCameroon
| | - Jerome Boombhi
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
| | - Hamadou Ba
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
| | | | - Felicite Kamdem
- Service of Internal Medicine and Subspecialties, Douala General HospitalDoualaCameroon
| | - Blaise Barche
- Clinical Research Education Networking and Consultancy (CRENC) DoualaDoualaCameroon
| | - Archange Nzali
- Clinical Research Education Networking and Consultancy (CRENC) DoualaDoualaCameroon
| | - Armel Njomou
- Service of Internal Medicine, Hopital LaquintinieDoualaCameroon
| | - Calypse Ngwasiri
- Clinical Research Education Networking and Consultancy (CRENC) DoualaDoualaCameroon
| | | | - Marcel Azabji
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
| | | | - Alfred K. Njamnshi
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
- Brain Research Africa Initiative (BRAIN)GenevaSwitzerland/YaoundéCameroon
| | - Samuel Kingue
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
| | - Jean Philippe Empana
- Paris Cardiovascular Research Center (PARCC)Université de Paris, INSERM, Integrative Epidemiology of Cardiovascular Diseases TeamParisFrance
| | - Eugene Sobngwi
- Faculty of Medicine and Biomedical SciencesUniversity of Yaounde 1YaoundeCameroon
| | | | - Andre Pascal Kengne
- Non‐Communicable Diseases Research UnitMedical Research CouncilCape TownSouth Africa
| |
Collapse
|
47
|
Başıbüyük GÖ, Ayremlou P, Saeidlou SN, Ay F, Dalkıran A, Simzari W, Vitályos GÁ, Bektaş Y. A comparison of the different anthropometric indices for assessing malnutrition among older people in Turkey: a large population-based screening. JOURNAL OF HEALTH, POPULATION, AND NUTRITION 2021; 40:13. [PMID: 33785057 PMCID: PMC8011074 DOI: 10.1186/s41043-021-00228-z] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 02/14/2021] [Indexed: 06/12/2023]
Abstract
OBJECTIVE Due to an increase in aging worldwide, assessment of the nutritional status of older people becomes an important matter. Malnutrition in older people increases the risk of infections, disease period and hospitalization rates. This study aimed to compare the different anthropometric indices for detecting malnutrition among older people and comparing these indices among males and females to explain the possible differences. METHODS In this cross-sectional study, 2721 aged 65 years and older in Turkey were enrolled. Anthropometric measurements weight, height, hip circumference (HC), and waist circumference (WC), abdominal circumference (AC), mid-upper arm circumference (MUAC), triceps skinfold thickness (TST), calf circumference (CC)) were measured. Body mass index (BMI), abdominal volume index (AVI), body roundness index (BRI) and body adiposity index (BAI), and waist-to-hip ratio (WHR) and waist-to-height ratio (WHtR) indices were calculated using standardized formulas. The receiver operator characteristic curves (ROCs) were conducted in detecting the best anthropometric parameters. Adjusted odds ratios (OR) (stratified by sex) calculated for each anthropometric index. RESULTS Participants with both BMI < 18.5 (1.1%) and BMI > 25 (80%) defined as the malnourished group and BMI of 18.5-24.99 (18.9%) defined as the normal group. In both sexes, the area under the curve (AUC) was > 0.7 for all anthropometric indices except WHR in females (AUC 0.66). BRI, WHR, WHtR, and AVI indices strongly predict the risk of malnutrition among both sexes. In males, the ORs were for BRI (6.83, 95% CI 5.39-8.66), WHR (6.43, 95% CI 5.9-6.9), AVI (2.02, 95% CI 1.86-2.12). In females, the ORs were for BRI (3.72, 95% CI 3.09-4.48), WtHR (2.63, 95% CI 1.3-3.5), and WHR (2.45, 95% CI 1.9-3.06). DISCUSSION The presence of a large AUC in almost all anthropometric indices suggests that they can be used to assess the risk of malnutrition among older persons in both sexes.
Collapse
Affiliation(s)
| | - Parvin Ayremlou
- Clinical Research Development Unit of Imam Khomeini Hospital, Urmia University of Medical Sciences, Urmia, Iran
| | - Sakineh Nouri Saeidlou
- Food and Beverages Safety Research Center, Urmia University of Medical Sciences, Urmia, Iran.
| | - Faruk Ay
- Department of Anthropology, Faculty of Literature, Sivas Cumhuriyet University, Sivas, Turkey
| | - Akgül Dalkıran
- Department of Anthropology, Faculty of Literature, Sivas Cumhuriyet University, Sivas, Turkey
| | - Wida Simzari
- Department of Nutrition and Dietetic, School of Health Sciences, Coppadocia University, Nevşehir, Turkey
| | - Gábor Áron Vitályos
- Department of Natural Sciences, Faculty of Primary and Pre-School Education, Eötvös Loránd University, Budapest, Hungary
| | - Yener Bektaş
- Department of Archaeology, Faculty of Arts and Sciences, Nevşehir Hacı Bektaş Veli University, Nevşehir, Turkey
| |
Collapse
|
48
|
Huang YC, Huang JC, Lin CI, Chien HH, Lin YY, Wang CL, Liang FW, Dai CY, Chuang HY. Comparison of Innovative and Traditional Cardiometabolic Indices in Estimating Atherosclerotic Cardiovascular Disease Risk in Adults. Diagnostics (Basel) 2021; 11:diagnostics11040603. [PMID: 33800660 PMCID: PMC8067018 DOI: 10.3390/diagnostics11040603] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/16/2021] [Accepted: 03/24/2021] [Indexed: 12/22/2022] Open
Abstract
This study aimed to investigate the performance of innovative and traditional cardiometabolic indices, including body mass index (BMI), waist circumference (WC), Chinese visceral adiposity index (CVAI), visceral adiposity index, lipid accumulation product, a body shape index (ABSI), body roundness index, conicity index (CI), triglyceride-glucose (TyG) index, TyG-BMI, and TyG-WC, in estimating atherosclerotic cardiovascular disease (ASCVD) risk in 3143 Taiwanese adults aged 20–79 years. Elevated 10-year ASCVD risk was defined as ≥7.5% using the Pooled Cohort Equations. The performance of different indices in estimating elevated ASCVD risk was assessed by receiver operating characteristic (ROC) curves. In multivariate-adjusted logistic regression analyses, all cardiometabolic indices (p-value < 0.001) were significantly associated with elevated ASCVD risk in both genders, except for ABSI and CI in women. In particular, CVAI had the largest area under the curve (AUC) in men (0.721) and women (0.883) in the ROC analyses. BMI had the lowest AUC in men (0.617), while ABSI had the lowest AUC in women (0.613). The optimal cut-off value for CVAI was 83.7 in men and 70.8 in women. CVAI performed best among various cardiometabolic indices in estimating elevated ASCVD risk. CVAI may be a reliable index for identifying people at increased risk of ASCVD.
Collapse
Affiliation(s)
- Ya-Chin Huang
- Department of Preventive Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan; (Y.-C.H.); (C.-I.L.); (H.-H.C.)
- Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-Y.L.); (C.-L.W.); (H.-Y.C.)
- Master Program of Public Health, Department of Public Health, College of Heath Sciences, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Jiun-Chi Huang
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung 812, Taiwan;
- Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Chia-I Lin
- Department of Preventive Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan; (Y.-C.H.); (C.-I.L.); (H.-H.C.)
- Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-Y.L.); (C.-L.W.); (H.-Y.C.)
| | - Hsu-Han Chien
- Department of Preventive Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan; (Y.-C.H.); (C.-I.L.); (H.-H.C.)
| | - Yu-Yin Lin
- Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-Y.L.); (C.-L.W.); (H.-Y.C.)
| | - Chao-Ling Wang
- Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-Y.L.); (C.-L.W.); (H.-Y.C.)
| | - Fu-Wen Liang
- Department of Public Health, College of Health Science, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Correspondence: (F.-W.L.); (C.-Y.D.)
| | - Chia-Yen Dai
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Hepatobiliary Division, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Correspondence: (F.-W.L.); (C.-Y.D.)
| | - Hung-Yi Chuang
- Department of Occupational & Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan; (Y.-Y.L.); (C.-L.W.); (H.-Y.C.)
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| |
Collapse
|
49
|
Wu Y, Li H, Tao X, Fan Y, Gao Q, Yang J. Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study. BMJ Open 2021; 11:e043952. [PMID: 33518525 PMCID: PMC7853002 DOI: 10.1136/bmjopen-2020-043952] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES We aimed to evaluate the association between metabolic syndrome (MetS) and two latest optimised indices, waist divided by height 0.5 (WHT.5R) and body mass index (BMI) multiply by the square root of BMI and waist circumference (BMI√WC), and to comprehensively compare the ability of 10 anthropometric indices to identify MetS, including BMI√WC, WHT.5R, abdominal volume index (AVI), waist-to-height ratio (WHtR), Body Roundness Index (BRI). DESIGN Cross-sectional study. SETTING Ningxia, China. PARTICIPANTS A total of 3860 adults aged 18-88 years from Ningxia, China were recruited by a single stratified cluster random sampling method. METHODS ORs and 95% CIs for associations between indices and MetS were calculated using binary logistic regression, and areas under the receiver operating characteristic (ROC) curves (AUCs) were performed to compare their predictive capacity for MetS. All results for men and women were analysed and presented separately. RESULTS The highest adjusted ORs for MetS were observed for the following indices: AVI (OR 15.22, 95% CI 10.88 to 21.30), WHT.5R (OR 13.83, 95% CI 9.89 to 19.35) and BMI√WC (OR 12.14, 95% CI 8.79 to 16.76) in men, whereas BRI, WHtR (both OR 14.91, 95% CI 10.39 to 21.4), WHT.5R (OR 14.22, 95% CI 9.96 to 20.29) and AVI (OR 14.03, 95% CI 9.91 to 19.87) in women. In ROC analysis, AVI (AUC: 0.767 for men and 0.749 for women) and WHT.5R (AUC: 0.761 for men and 0.747 for women) showed the highest predictive ability for MetS. CONCLUSIONS BMI√WC and WHT.5R were significantly positively associated with MetS, and AVI and WHT.5R could be useful screening tools for identifying MetS in both sexes.
Collapse
Affiliation(s)
- Yating Wu
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| | - Hongyu Li
- Public Health Division, Yinchuan City Center for Disease Control and Prevention, Yinchuan, China
| | - Xiujuan Tao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| | - Yanna Fan
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| | - Qinghan Gao
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| | - Jianjun Yang
- School of Public Health and Management, Ningxia Medical University, Yinchuan, China
| |
Collapse
|
50
|
Kasaeian A, Hemati Z, Heshmat R, Baygi F, Heshmati J, Mahdavi-Gorabi A, Abdar ME, Motlagh ME, Shafiee G, Qorban M, Kelishadi R. Association of a body shape index and hip index with cardiometabolic risk factors in children and adolescents: the CASPIAN-V study. J Diabetes Metab Disord 2021; 20:285-292. [PMID: 34178838 DOI: 10.1007/s40200-021-00743-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Accepted: 01/12/2021] [Indexed: 12/28/2022]
Abstract
Objective This study designed to discover the link between a body shape index (ABSI) and hip index (HI) with cardiometabolic risk factors (CMRFs) in Iranian children and adolescents. Subjects and methods In a nationwide cross-sectional survey, 4200 students who were 7-18 years old were chosen via a multistage cluster sampling method in 30 provinces of Iran in 2015. Metabolic syndrome (MetS) was defined in line with the Adult Treatment Panel III criteria. ABSI and HI were defined as waist circumference (m)/ [body mass index 2/3 * height (m)1/2] and hip circumference (cm) *(height/ 166 cm)0.310 *(weight / 73 kg)-0.482 respectively. Association between ABSI and HI with CMRFs as categorical and continuous variables were evaluated using multivariable logistic and linear regression analysis respectively. Results Totally, information of 14,002 students and findings of blood samples of 3483 of them were involved in the current study. In the multivariable logistic regression, an association of HI with high triglyceride (TG) (OR: 0.99, 95 % CI: 0.98-0.99) and ABSI with MetS (OR: 11.41, 2.61-49.88) was statistically significant (P < 0.05). Also, both indices were significantly associated with overweight, generalized, and abdominal obesity. In the multivariable linear regression analysis, increasing HI (per one unit) was associated with body mass index z-score (z-BMI) (β: -0.01), waist circumference (WC) (β: 0.15), TG (β: -0.16), and systolic blood pressure (SBP) (β: -0.02). Moreover, in the multivariable linear models, ABSI was significantly associated with z-BMI, WC, SBP, and diastolic blood pressure (P < 0.001). Conclusions ABSI and HI as novel body shape indices were significantly associated with some CMRFs. Therefore, these indices can be used as some useful anthropometric risk indices for predicting MetS.
Collapse
Affiliation(s)
- Amir Kasaeian
- Hematology, Oncology and Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran.,Digestive Diseases Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Zeinab Hemati
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non- Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ramin Heshmat
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereshteh Baygi
- Center of Maritime Health and Society, Department of Public Health, University of Southern Denmark, Esbjerg, Denmark
| | - Javad Heshmati
- Department of Nutritional Science, School of Nutritional Science and Food Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Armita Mahdavi-Gorabi
- Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Mohammad Esmaeili Abdar
- Social Determinants of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | | | - Gita Shafiee
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorban
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran.,Department of Epidemiology, Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Roya Kelishadi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non- Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| |
Collapse
|