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Hsu CL, Wu PC, Wu FZ, Yu HC. LASSO-derived model for the prediction of lean-non-alcoholic fatty liver disease in examinees attending a routine health check-up. Ann Med 2024; 56:2317348. [PMID: 38364216 PMCID: PMC10878349 DOI: 10.1080/07853890.2024.2317348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 02/05/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Lean individuals with non-alcohol fatty liver disease (NAFLD) often have normal body size but abnormal visceral fat. Therefore, an alternative to body mass index should be considered for prediction of lean-NAFLD. This study aimed to use representative visceral fat links with other laboratory parameters using the least absolute shrinkage and selection operator (LASSO) method to construct a predictive model for lean-NAFLD. METHODS This retrospective cross-sectional analysis enrolled 2325 subjects with BMI < 24 kg/m2 from medical records of 51,271 examinees who underwent a routine health check-up. They were randomly divided into training and validation cohorts at a ratio of 1:1. The LASSO-derived prediction model used LASSO regression to select 23 clinical and laboratory factors. The discrimination and calibration abilities were evaluated using the Hosmer-Lemeshow test and calibration curves. The performance of the LASSO model was compared with the fatty liver index (FLI) model. RESULTS The LASSO-derived model included four variables-visceral fat, triglyceride levels, HDL-C-C levels, and waist hip ratio-and demonstrated superior performance in predicting lean-NAFLD with high discriminatory ability (AUC, 0.8416; 95% CI: 0.811-0.872) that was comparable with the FLI model. Using a cut-off of 0.1484, moderate sensitivity (75.69%) and specificity (79.86%), as well as high negative predictive value (95.9%), were achieved in the LASSO model. In addition, with normal WC subgroup analysis, the LASSO model exhibits a trend of higher accuracy compared to FLI (cut-off 15.45). CONCLUSIONS We developed a LASSO-derived predictive model with the potential for use as an alternative tool for predicting lean-NAFLD in clinical settings.
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Affiliation(s)
- Chiao-Lin Hsu
- Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Center for Geriatrics and Gerontology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Pin-Chieh Wu
- Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
| | - Fu-Zong Wu
- Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Faculty of Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
- Department of Medical Imaging and Radiology, Shu-Zen Junior College of Medicine and Management, Kaohsiung, Taiwan
| | - Hsien-Chung Yu
- Health Management Center, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
- Department of Internal Medicine of Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan
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Dai Y, Ding J, Wang Z, Zhang B, Guo Q, Guo J, Qi X, Lu D, Chang X, Wu C, Zhang J, Zhou Z. Associations of prenatal and concurrent exposure to phenols mixture with anthropometric measures and blood pressure during childhood: A time-varying mixture approach. ENVIRONMENTAL RESEARCH 2024; 261:119766. [PMID: 39127330 DOI: 10.1016/j.envres.2024.119766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 08/05/2024] [Accepted: 08/07/2024] [Indexed: 08/12/2024]
Abstract
BACKGROUND Environmental phenols were recognized as endocrine disrupting chemicals (EDCs). However, their impact on childhood anthropometric measures and blood pressure (BP) is still inconclusive. Limited studies have simultaneously considered prenatal and childhood exposures in analyzing mixtures of phenols. OBJECTIVE We investigated the relationships between combined prenatal and childhood exposures (two periodic exposures) to phenol mixtures and anthropometric measure and BP, to further identify the vulnerable periods of phenol exposure and to explore the important individual contribution of each phenol. METHODS We analyzed 434 mother-child dyads from the Sheyang Mini Birth Cohort Study (SMBCS). The urinary concentrations of 11 phenolic compounds were measured using gas chromatography tandem mass spectrometry. Generalized linear regression models (GLMs) and hierarchical Bayesian Kernel Machine Regression (hBKMR) were used to examine the effects of individual phenolic compounds at each period and of two periodic exposures. RESULTS In the single-chemical analysis, prenatal or childhood exposure to specific phenols, especially Benzopheone-3 (BP3), 4-tert-Octylphenol (4-tOP), and Benzyl paraben (BePB) were associated with BMI z-scores (BAZ), Waist-to-height ratio (WHtR), and BP. In the hBKMR models, two periodic exposures to phenol mixtures had a U-shaped association with WHtR, primarily driven by childhood BePB exposure. Moreover, among the phenol mixtures analysis, childhood 4-tOP exposure was identified as the primary contributor to the positive association with diastolic BP. Concurrent exposure to phenol mixtures resulted in greater susceptibility. CONCLUSIONS We found that prenatal and childhood exposure to phenol mixtures might influence childhood obesity and elevate blood pressure levels. Concurrent exposure to 4-tOP may be the primary driver of the positive associations with BP.
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Affiliation(s)
- Yiming Dai
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jiayun Ding
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Zheng Wang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Boya Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Qin Guo
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jianqiu Guo
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Xiaojuan Qi
- Zhejiang Provincial Center for Disease Control and Prevention, No. 3399 Binsheng Road, Hangzhou, 310051, China
| | - Dasheng Lu
- Shanghai Municipal Center for Disease Control and Prevention, No. 1380 Zhongshan West Road, Shanghai, 200336, China
| | - Xiuli Chang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Chunhua Wu
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China
| | - Jiming Zhang
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China.
| | - Zhijun Zhou
- Key Laboratory of Public Health Safety of Ministry of Education, Key Laboratory of Health Technology Assessment of National Health Commission, School of Public Health, Fudan University, No.130 Dong'an Road, Shanghai, 200032, China.
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Sánchez-Romero LM, Sagaceta-Mejía J, Mindell JS, Passi-Solar Á, Bernabé-Ortiz A, Tolentino-Mayo L, Moody A, Scholes S. Sex differences in the secular change in waist circumference relative to BMI in five countries from 1997 to 2020. Obesity (Silver Spring) 2024; 32:1934-1947. [PMID: 39315405 PMCID: PMC11424025 DOI: 10.1002/oby.24110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 05/21/2024] [Accepted: 06/11/2024] [Indexed: 09/25/2024]
Abstract
OBJECTIVE The objective of this study was to quantify changes over time in waist circumference (WC) relative to BMI by sex in the Americas (United States, Mexico, Chile, and Peru) and England. METHODS Data from adults aged 25 to 64 years between 1997 and 2020 were analyzed, and US data were stratified by race and ethnicity groups. Sex-specific BMI and WC means and obesity and abdominal obesity prevalence were compared between the first and last surveys. Using data from all survey years, secular changes across the BMI and WC distributions were estimated, applying quantile regression models. BMI was added as a predictor of WC to estimate secular changes in WC relative to BMI. Interaction terms were included in all models to evaluate differences by sex. RESULTS BMI and WC (except for Peru) showed larger secular increases at the upper-tails of the distributions in both sexes. Increases at the 50th and 75th WC percentiles relative to BMI were more pronounced in women than in men, with larger increases in US non-Hispanic White individuals and in England. In men, increases in WC independent of BMI were most evident in Mexico. CONCLUSIONS Disease risk associated with visceral fat is potentially underestimated by national surveillance efforts that quantify only secular changes in BMI.
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Affiliation(s)
- Luz M Sánchez-Romero
- Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC. USA
| | | | | | | | | | | | - Alison Moody
- Research Department of Epidemiology and Public Health, UCL, London, UK
| | - Shaun Scholes
- Research Department of Epidemiology and Public Health, UCL, London, UK
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Islam MT, Chowdhury AT, Siraj MS, Md Abdullah AY, Mazumder T, Trask M, Talukder MR, Rahman SM. Anthropometric indices in predicting 10-year cardiovascular risk among males and females aged 40-74 years in south and southeast Asia: analysis of 12 WHO STEPS survey data. THE LANCET REGIONAL HEALTH. SOUTHEAST ASIA 2024; 29:100481. [PMID: 39315383 PMCID: PMC11418002 DOI: 10.1016/j.lansea.2024.100481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 07/22/2024] [Accepted: 08/30/2024] [Indexed: 09/25/2024]
Abstract
Background The relevance of anthropometric indices in predicting cardiovascular disease (CVD) or CVD risk factors is established across different countries, particularly in the high-income countries. However, past studies severely lacked representation from the south and southeast Asian countries. The main aim of this study was to determine the performance of conventional and new anthropometric indices to best predict 10-year cardiovascular disease (CVD) risk in south Asian and southeast Asian populations. Methods The present study examined data from 14,532 participants in three south Asian and 13,846 participants (all aged between 40 and 74 years) in six southeast Asian countries, drawn from twelve cross-sectional studies (WHO STEPwise approaches to NCD risk factor surveillance [STEPS] survey data from 2008 to 2019). A Predictive performance of ten anthropometric indices were examined for predicting 10-year CVD risk ≥ 10% (CVD-R ≥ 10%). The 10-year CVD-R ≥ 10% was calculated by utilising the WHO CVD risk non-laboratory-based charts. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal anthropometric index. Findings Among the ten anthropometric indices, a body shape index (ABSI), body adiposity index (BAI), body roundness index (BRI), hip index (HI), and waist-height ratio (WHtR) performed best in predicting 10-year CVD risk among south Asian males and females. Improved performances were found for ABSI, BRI, conicity index (CI), WHtR, and waist-hip ratio (WHR) for 10-year CVD-R ≥ 10% predictions among southeast Asian males. Contrastingly, among southeast Asian females, ABSI and CI demonstrated optimal performance in predicting 10-year CVD-R ≥ 10%. Interpretation The performance of anthropometric indices in predicting CVD risk varies across countries. ABSI, BAI, BRI, HI, and WHtR showed better predictions in south Asians, whereas ABSI, BRI, CI, WHtR, and WHR displayed enhanced predictions in southeast Asians. Funding None.
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Affiliation(s)
- Md Tauhidul Islam
- Murdoch Business School, Murdoch University, Perth, WA, 6150, Australia
| | - Anika Tasneem Chowdhury
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh
| | - Md Shahjahan Siraj
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh
| | | | - Tapas Mazumder
- Health Research Institute, Faculty of Health, University of Canberra, Canberra, 2617, Australia
| | - Mercedes Trask
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Sweden
| | - Mohammad Radwanur Talukder
- Blood Cancer Partnership Segment, The Leukaemia Foundation, Adelaide, Australia
- Baker Heart and Diabetes Institute, Melbourne, 3004, Australia
| | - Syed Moshfiqur Rahman
- Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, 1212, Bangladesh
- Global Health and Migration Unit, Department of Women's and Children's Health, Uppsala University, Sweden
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5
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Fiore G, Scapaticci S, Neri CR, Azaryah H, Escudero-Marín M, Pascuzzi MC, La Mendola A, Mameli C, Chiarelli F, Campoy C, Zuccotti G, Verduci E. Chrononutrition and metabolic health in children and adolescents: a systematic review and meta-analysis. Nutr Rev 2024; 82:1309-1354. [PMID: 37944081 DOI: 10.1093/nutrit/nuad122] [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] [Indexed: 11/12/2023] Open
Abstract
CONTEXT Obesity has emerged as a global health issue for the pediatric population, increasing the need to investigate physiopathological aspects to prevent the appearance of its cardiometabolic complications. Chrononutrition is a field of research in nutritional sciences that investigates the health impact of 3 different dimensions of feeding behavior: regularity of meals, frequency, and timing of food intake. OBJECTIVE We carried out a systematic review and meta-analysis to investigate the association between chrononutrition in children and adolescents and the risk of overweight/obesity or a cluster of metabolic abnormalities related to glucose and lipid metabolism, blood pressure, and cardiovascular disease risk. DATA EXTRACTION A literature search was performed using PubMed, EMBASE, and The Cochrane Library for relevant articles published before August 2022. DATA ANALYSIS A total of 64 articles were included in the narrative synthesis (47 cross-sectional and 17 cohort studies), while 16 studies were included in the meta-analysis. Meta-analysis showed that non-daily breakfast consumers (≤6 d/wk) had a higher risk of overweight/obesity (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.08-1.82] compared with daily breakfast eaters (7 d/wk). Similarly, irregular breakfast consumption (only 0-to-3 times/wk) increased the risk of abdominal obesity (waist-to-height ratio ≥ 0.5) compared with regular consumption (5-to-7 times/wk) (OR, 1.38; 95% CI, 1.26-1.49). There was evidence to suggest that a regular frequency of meal consumption (≥4 times/d) is preventive against overweight/obesity development compared with fewer meals (≤3 times/d) (OR, 0.83; 95% CI, 0.70-0.97). In the narrative synthesis, snacking habits showed controversial results, while food timing was the most understudied dimension. CONCLUSION Overall, our data indicate a potential implication of chrononutrition in affecting pediatric metabolic health; however, the evidence of this association is limited and heterogeneous. Further prospective and intervention studies with a consistent approach to categorize the exposure are needed to elucidate the importance of chrononutrition for pediatric metabolic health.
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Affiliation(s)
- Giulia Fiore
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Serena Scapaticci
- Department of Pediatrics, University of Chieti "G. D'Annunzio", Chieti, Italy
| | - Costanza R Neri
- Department of Pediatrics, University of Chieti "G. D'Annunzio", Chieti, Italy
| | - Hatim Azaryah
- Department of Pediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Pediatric Research, Biomedical Research Centre (CIBM), University of Granada, Granada, Spain
| | - Mireia Escudero-Marín
- Department of Pediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Pediatric Research, Biomedical Research Centre (CIBM), University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (Ibs-GRANADA), San Cecilio University Hospital, Granada, Spain
- Neurosciences Institute Dr. Federico Oloriz, University of Granada, Granada, Spain
| | - Martina C Pascuzzi
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Alice La Mendola
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Chiara Mameli
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Francesco Chiarelli
- Department of Pediatrics, University of Chieti "G. D'Annunzio", Chieti, Italy
| | - Cristina Campoy
- Department of Pediatrics, School of Medicine, University of Granada, Granada, Spain
- EURISTIKOS Excellence Centre for Pediatric Research, Biomedical Research Centre (CIBM), University of Granada, Granada, Spain
- Instituto de Investigación Biosanitaria de Granada (Ibs-GRANADA), San Cecilio University Hospital, Granada, Spain
- Neurosciences Institute Dr. Federico Oloriz, University of Granada, Granada, Spain
- Spanish Network of Biomedical Research in Epidemiology and Public Health (CIBERESP), Granada's Node, Institute of Health Carlos III, Madrid, Spain
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
- Department of Health Sciences, University of Milan, Milan, Italy
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Yuan L, Qu C, Zhao J, Lu L, Chen J, Xu Y, Li X, Mao T, Yang G, Zhen S, Liu S. Dose-response relationship between body mass index and hypertension: A cross-sectional study from Eastern China. Prev Med Rep 2024; 46:102852. [PMID: 39238781 PMCID: PMC11372613 DOI: 10.1016/j.pmedr.2024.102852] [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: 05/04/2024] [Revised: 07/16/2024] [Accepted: 08/02/2024] [Indexed: 09/07/2024] Open
Abstract
Background A high body mass index (BMI) increases the risk of hypertension. However, little is known about the dose-dependent association between BMI and hypertension. Therefore, this study investigated the prevalence of hypertension in 7568 subjects from the Jiangsu Province, Eastern China, and analyzed the dose-response relationship between BMI and hypertension risk. Methods The eligible subjects completed a structured questionnaire and clinical biochemical indicators were measured according to standardized protocols. Multivariate logistic regression models were used to evaluate the association between BMI and hypertension. Restricted cubic spline (RCS) analysis was used to analyze the dose-response relationship between BMI and hypertension risk. Moreover, sensitivity analysis was performed to verify the robustness of our findings. Results The prevalence of hypertension was 35.3 % in the total population. BMI was significantly associated with systolic and diastolic blood pressure. The fully-adjusted odds ratio (OR) with 95 % confidence interval (CI) for hypertension was 1.17 (1.15, 1.19) for every 1 kg/m2 increase in BMI. Furthermore, the OR (95 % CI) for hypertension in the highest BMI group (Obesity) was 4.14 (3.45, 4.96) after adjusting for covariates compared with the normal group. Multivariable adjusted RCS analysis showed a positive and linear dose-response relationship between BMI and hypertension risk both in male and female populations (all P for non-linearity > 0.05). Conclusion Our study demonstrated a positive and linear dose-response relationship between BMI and the risk of hypertension. The results of this study provide evidence for BMI-related clinical interventions to reduce the risk of hypertension.
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Affiliation(s)
- Lei Yuan
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China
| | - Chen Qu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Jinhang Zhao
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China
| | - Lijun Lu
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China
| | - Jiaping Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China
| | - Yan Xu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Xiaoning Li
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Tao Mao
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Guoping Yang
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Shiqi Zhen
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu Province 210009, China
| | - Sijun Liu
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu Province 211166, China
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Zhao C, Yang Y, Duan C, Gao C, Wang Y, Ni H, Zhou L, Xiang Y, Li M, Xu Z. The nutritional metabolic risk index as a predictor of all-cause and cardiovascular mortality: A national cohort study. Clin Nutr ESPEN 2024; 63:391-399. [PMID: 38971408 DOI: 10.1016/j.clnesp.2024.07.004] [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: 04/10/2024] [Revised: 05/31/2024] [Accepted: 07/01/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND Recent studies show that malnutrition increases all-cause mortality by 1.11 times and cardiovascular mortality by 2.60 times. Similarly, metabolic syndrome raises overall mortality by 40% and cardiovascular mortality by 37%. This research assesses the Nutritional Metabolic Risk Index (NMRI) for predicting these mortality risks. METHODS We analyzed data from 14,209 participants in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018, where the NMRI was calculated based on the ratio of GNRI to TyG-WHtR. The relationship between NMRI and mortality was investigated using Kaplan-Meier methods and Cox regression models, with restricted cubic splines (RCS) employed to examine non-linear associations. The predictive capabilities of NMRI, GNRI, and TyG-WHtR for mortality were assessed using receiver operating characteristic curve (ROC) curve analysis. RESULTS Over a median follow-up period of 89 months, there were 1358 all-cause deaths and 345 cardiovascular deaths recorded. Cox regression analysis indicated that each unit increase in NMRI was associated with an 8% reduction in all-cause mortality risk and a 15% reduction in cardiovascular mortality risk. RCS analysis found a nonlinear negative correlation between NMRI and both all-cause and cardiovascular mortality. NMRI demonstrated superior predictive accuracy for all-cause mortality (AUC: 0.696, 95% CI: 0.682-0.710) and cardiovascular mortality (AUC: 0.713, 95% CI: 0.689-0.737) compared to GNRI and TyG-WHtR (P < 0.05). CONCLUSIONS The NMRI is inversely associated with the risk of all-cause and cardiovascular mortality in American adults.
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Affiliation(s)
- Chuanwei Zhao
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yane Yang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Conghao Duan
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Chenxuan Gao
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yansi Wang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Huan Ni
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Lanping Zhou
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Yunfang Xiang
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - MeiJu Li
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
| | - Zhao Xu
- Department of Cardiology, The Second People's Hospital of Baoshan, Baoshan, Yunnan, China.
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8
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Liu J, Jin X, Feng Z, Huang J. Using anthropometric parameters to predict insulin resistance among patients without diabetes mellitus. Sci Rep 2024; 14:21407. [PMID: 39271702 PMCID: PMC11399142 DOI: 10.1038/s41598-024-57020-2] [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: 06/30/2023] [Accepted: 03/13/2024] [Indexed: 09/15/2024] Open
Abstract
Anthropometric parameters are widely used in the clinical assessment of hypertension, type 2 diabetes, and cardiovascular disease. However, few studies have compared the association between different anthropometric parameters and insulin resistance (IR). This study was aimed at investigating the relationship between 6 indicators, including body mass index (BMI), calf circumference (CC), arm circumference (AC), thigh circumference (TC), waist circumference (WC), waist-height ratio (WHtR), and IR. Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) was used to measure IR. Weighted linear regression was used to assess the relationship between different parameters and IR. The receiver operating characteristic curve (ROC) was employed to compare the strength of the relationship between different anthropometric parameters and IR. A total of 8069 participants were enrolled in our study, including 4873 without IR and 3196 with IR. The weighted linear regression results showed that BMI, CC, AC, TC and WC were significantly correlated with IR, except WHtR. After adjusting for multiple confounding factors, we found that BMI, AC and WC were significantly positively correlated with IR, while TC was significantly negatively correlated with IR. Logistic regression results showed that a larger TC was associated with a decreased risk of IR. In addition, BMI and WC had similar areas under the curve (AUC: 0.780, 95% CI 0.770-0.790; AUC: 0.774, 95% CI 0.763-0.784, respectively), which were higher than TC and AC (AUC: 0.698, 95% CI 0.687-0.710, AUC: 0.746, 95% CI 0.735-0.757, respectively). To our knowledge, this is the first study to report a negative correlation between TC and IR among patients without diabetes mellitus. Therefore, TC may be a new tool to guide public health and a clinical predictor of IR in non-diabetic patients.
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Affiliation(s)
- Jiajun Liu
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xueshan Jin
- The Affiliated Jiangmen TCM Hospital, Jinan University, Jiangmen, Guangdong, China
| | - Ziyi Feng
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Jieming Huang
- The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
- First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
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Xu M, Han S, Wu Q, Ma S, Cai H, Xue M, Liu F, Xiao X, Chen X, Lin M. Non-linear associations between cardiovascular metabolic indices and metabolic-associated fatty liver disease: A cross-sectional study in the US population (2017-2020). Open Life Sci 2024; 19:20220947. [PMID: 39290497 PMCID: PMC11406434 DOI: 10.1515/biol-2022-0947] [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: 04/11/2024] [Revised: 07/22/2024] [Accepted: 08/07/2024] [Indexed: 09/19/2024] Open
Abstract
The cardiometabolic index (CMI) is an emerging and effective indicator for predicting the presence of metabolic-associated fatty liver disease (MAFLD). This study aims to investigate the relationship between CMI and MAFLD using data from NHANES 2017-2020. In this cross-sectional study, a total of 3,749 subjects were included. The study conducted a thorough analysis of CMI with three multivariate logistic regression models, subgroup analyses, and restricted cubic splines (RCS) were utilized. Using multifactorial logistic regression as the primary method of analysis, we found that a higher CMI was also significantly associated with an increased risk of MAFLD (OR = 1.45, 95% CI (1.05-2.01)). This result was further visualized by the RCS curve: There was a non-linear positive correlation between CMI and MAFLD incidence (the turning point is CMI = 0.4554). These findings were strongly reinforced by subsequent subgroup and sensitivity analyses. There is a robust positive relationship between the CMI and the risk of MAFLD, providing valuable clinical benefits for early detection and screening of MAFLD. It is important to highlight the presence of a non-linear association between CMI and MAFLD, with an inflection point identified at CMI = 0.4554.
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Affiliation(s)
- Meimei Xu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
- Hunan University of Chinese Medicine, Changsha, 410208, Hunan, China
| | - Sibo Han
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510120, Guangdong, China
| | - Qiaomei Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
| | - Shihong Ma
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
| | - Huiying Cai
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
| | - Mengqi Xue
- The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510120, Guangdong, China
| | - Fengling Liu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
| | - Xiaozhen Xiao
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
| | - Xiaoshuang Chen
- Guangzhou Jiangnan Foreign Language School, Guangzhou, 510120, Guangdong, China
| | - MeiZhen Lin
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, Guangdong, China
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10
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Okuyan O, Dumur S, Elgormus N, Uzun H. The Relationship between Vitamin D, Inflammatory Markers, and Insulin Resistance in Children. Nutrients 2024; 16:3005. [PMID: 39275320 PMCID: PMC11396811 DOI: 10.3390/nu16173005] [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: 08/11/2024] [Revised: 08/27/2024] [Accepted: 09/03/2024] [Indexed: 09/16/2024] Open
Abstract
OBJECTIVE In this study, we investigated 25-hydroxyvitamin D (25(OH)D, vitamin D), inflammatory hematologic ratios such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), monocyte/HDL-C ratio (MHR) and plasma atherogenic index (PAI) and possible relationships with insulin resistance (IR) in children. METHODS A total of 210 individuals, including 96 children with IR and 114 children without IR, aged 6-18 years, who were admitted to the Pediatric Endocrinology Outpatient Clinic at Medicine Hospital, Istanbul Atlas University were included in our study. RESULT Compared to patients without IR, NLR, PLR, SII, and MHR were significantly higher in patients with IR. Fasting insulin, PAI, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β were significantly higher and quantitative insulin sensitivity check index (QUICKI) was considerably lower in patients with IR compared to those without IR. NLR, SII, and MHR were lower in normal vitamin D groups than the others (p < 0.001). PLR was lower in the group with normal vitamin D levels than the groups with insufficient or deficient levels of vitamin D (D < 21). CONCLUSIONS We found that vitamin D deficiency in childhood is related to increased levels of circulating inflammatory markers (NLR, PLR, MHR, PAI), IR, and decreased insulin sensitivity. According to our results, supplementation of vitamin D may be beneficial in averting IR and enhanced systemic inflammation.
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Affiliation(s)
- Omer Okuyan
- Department of Pediatrics, Medicine Hospital, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey
| | - Seyma Dumur
- Department of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey
| | - Neval Elgormus
- Department of Microbiology, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey
| | - Hafize Uzun
- Department of Medical Biochemistry, Faculty of Medicine, Istanbul Atlas University, 34408 Istanbul, Turkey
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11
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Hossain MF, Hossain S, Akter MN, Nahar A, Liu B, Faruque MO. Metabolic syndrome predictive modelling in Bangladesh applying machine learning approach. PLoS One 2024; 19:e0309869. [PMID: 39236041 PMCID: PMC11376561 DOI: 10.1371/journal.pone.0309869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 08/12/2024] [Indexed: 09/07/2024] Open
Abstract
Metabolic syndrome (MetS) is a cluster of interconnected metabolic risk factors, including abdominal obesity, high blood pressure, and elevated fasting blood glucose levels, that result in an increased risk of heart disease and stroke. In this research, we aim to identify the risk factors that have an impact on MetS in the Bangladeshi population. Subsequently, we intend to construct predictive machine learning (ML) models and ultimately, assess the accuracy and reliability of these models. In this particular study, we utilized the ATP III criteria as the basis for evaluating various health parameters from a dataset comprising 8185 participants in Bangladesh. After employing multiple ML algorithms, we identified that 27.8% of the population exhibited a prevalence of MetS. The prevalence of MetS was higher among females, accounting for 58.3% of the cases, compared to males with a prevalence of 41.7%. Initially, we identified the crucial variables using Chi-Square and Random Forest techniques. Subsequently, the obtained optimal variables are employed to train various models including Decision Trees, Random Forests, Support Vector Machines, Extreme Gradient Boosting, K-nearest neighbors, and Logistic Regression. Particularly we employed the ATP III criteria, which utilizes the Waist-to-Height Ratio (WHtR) as an anthropometric index for diagnosing abdominal obesity. Our analysis indicated that Age, SBP, WHtR, FBG, WC, DBP, marital status, HC, TGs, and smoking emerged as the most significant factors when using Chi-Square and Random Forest analyses. However, further investigation is necessary to evaluate its precision as a classification tool and to improve the accuracy of all classifiers for MetS prediction.
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Affiliation(s)
- Md Farhad Hossain
- Division of Computing, Analytics and Mathematics, Department of Mathematics and Statistics, School of Science and Engineering, University of Missouri, Kansas City, MO, United States of America
- Department of Statistics, Comilla University, Cumilla, Bangladesh
| | - Shaheed Hossain
- Department of Statistics, Comilla University, Cumilla, Bangladesh
| | - Mst Nira Akter
- Department of Statistics, Comilla University, Cumilla, Bangladesh
| | - Ainur Nahar
- Department of Statistics, Comilla University, Cumilla, Bangladesh
| | - Bowen Liu
- Division of Computing, Analytics and Mathematics, Department of Mathematics and Statistics, School of Science and Engineering, University of Missouri, Kansas City, MO, United States of America
| | - Md Omar Faruque
- Division of Energy, Matter and Sciences, School of Science and Engineering, University of Missouri, Kansas City, MO, United States of America
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12
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Sweatt K, Garvey WT, Martins C. Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward? Curr Obes Rep 2024; 13:584-595. [PMID: 38958869 PMCID: PMC11306271 DOI: 10.1007/s13679-024-00580-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/19/2024] [Indexed: 07/04/2024]
Abstract
PURPOSE OF REVIEW This review aims to discuss strengths and limitations of body mass index (BMI) in diagnosing obesity, the use of alternative anthropometric measurements, and potential new technology that may change the future of obesity diagnosis and management. RECENT FINDINGS The diagnosis of obesity requires the anthropometric assessment of adiposity. In clinical settings, this should include BMI with confirmation that elevated BMI represents excess adiposity and a measure of fat distribution (i.e., waist circumference (WC), waist to height ratio (WHtR), or WC divided by height0.5 (WHR.5R). Digital anthropometry and bioelectric impedance (BIA) can estimate fat distribution and be feasibly employed in the clinic. In addition, the diagnosis should include a clinical component assessing the presence and severity of weight-related complications. As anthropometric measures used in the diagnosis of obesity, BMI is generally sufficient if confirmed to represent excess adiposity, and there are advantages to the use of WHtR over WC to assess fat distribution. BIA and digital anthropometry have the potential to provide accurate measures of fat mass and distribution in clinical settings. There should also be a clinical evaluation for the presence and severity of obesity complications that can be used to stage the disease.
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Affiliation(s)
- Katherine Sweatt
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - W Timothy Garvey
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA
| | - Catia Martins
- Department of Nutrition Sciences, University of Alabama at Birmingham, 675 University Blvd, Birmingham, AL, 35294-3360, USA.
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13
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Binvignat M, Sellam J, Berenbaum F, Felson DT. The role of obesity and adipose tissue dysfunction in osteoarthritis pain. Nat Rev Rheumatol 2024; 20:565-584. [PMID: 39112603 DOI: 10.1038/s41584-024-01143-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2024] [Indexed: 08/29/2024]
Abstract
Obesity has a pivotal and multifaceted role in pain associated with osteoarthritis (OA), extending beyond the mechanistic influence of BMI. It exerts its effects both directly and indirectly through various modifiable risk factors associated with OA-related pain. Adipose tissue dysfunction is highly involved in OA-related pain through local and systemic inflammation, immune dysfunction, and the production of pro-inflammatory cytokines and adipokines. Adipose tissue dysfunction is intricately connected with metabolic syndrome, which independently exerts specific effects on OA-related pain, distinct from its association with BMI. The interplay among obesity, adipose tissue dysfunction and metabolic syndrome influences OA-related pain through diverse pain mechanisms, including nociceptive pain, peripheral sensitization and central sensitization. These complex interactions contribute to the heightened pain experience observed in individuals with OA and obesity. In addition, pain management strategies are less efficient in individuals with obesity. Importantly, therapeutic interventions targeting obesity and metabolic syndrome hold promise in managing OA-related pain. A deeper understanding of the intricate relationship between obesity, metabolic syndrome and OA-related pain is crucial and could have important implications for improving pain management and developing innovative therapeutic options in OA.
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Affiliation(s)
- Marie Binvignat
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France
- Sorbonne University, INSERM UMRS_959, I3 Lab Immunology Immunopathology Immunotherapy, Paris, France
| | - Jérémie Sellam
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France.
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France.
| | - Francis Berenbaum
- Department of Rheumatology, Sorbonne University, AP-HP Saint-Antoine hospital, Paris, France
- Sorbonne University, INSERM UMRS_938, Centre de Recherche Saint-Antoine (CRSA), Paris Center for Microbiome Medicine (PaCeMM) FHU, Paris, France
| | - David T Felson
- Boston University School of Medicine, Department of Medicine, Section of Rheumatology, Boston, MA, USA
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14
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Busetto L, Dicker D, Frühbeck G, Halford JCG, Sbraccia P, Yumuk V, Goossens GH. A new framework for the diagnosis, staging and management of obesity in adults. Nat Med 2024; 30:2395-2399. [PMID: 38969880 DOI: 10.1038/s41591-024-03095-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2024]
Affiliation(s)
- Luca Busetto
- Department of Medicine, University of Padova, Padova, Italy.
| | - Dror Dicker
- Internal Medicine Department and Obesity Clinic, Hasharon Hospital-Rabin Medical Center, Petach-Tikva, Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Gema Frühbeck
- Department of Endocrinology and Nutrition, Clínica Universidad de Navarra, CIBEROBN, IdiSNA, Pamplona, Spain
| | | | - Paolo Sbraccia
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Volkan Yumuk
- Division of Endocrinology, Metabolism and Diabetes, Department of Internal Medicine, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Gijs H Goossens
- Department of Human Biology, Institute of Nutrition and Translational Research in Metabolism (NUTRIM), Maastricht University Medical Center⁺, Maastricht, The Netherlands
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15
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Sherf-Dagan S, Refaeli R, Buch A. Phenotyping of Obesity Treatment Candidates: A Narrative Review. Curr Obes Rep 2024; 13:564-573. [PMID: 38874701 DOI: 10.1007/s13679-024-00576-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/25/2024] [Indexed: 06/15/2024]
Abstract
PURPOSE OF REVIEW This review explores characterizing candidates for obesity treatments including pharmacotherapy, endoscopic bariatric therapies, and metabolic bariatric surgery (MBS), focusing on established clinical parameters for diagnosing obesity beyond body mass index alone. RECENT FINDINGS Existing literature primarily provides rates for fat mass percentage (i.e., a marker for adiposity quantity), waist circumference (i.e., a marker for adiposity distribution), and C-reactive protein levels (i.e., a marker for adiposity functionality) among obesity treatment candidates. Limited data on abnormal values and sex-based differentiation exist. The literature indicates high central-tendency measures for fat mass percentage and waist circumference, while C-reactive protein levels vary. Data on the Edmonton Obesity Staging System (i.e., a marker for adiposity-related disease severity) is predominantly available for MBS candidates. Future studies in obesity interventions should improve screening and diagnosis of obesity by incorporating sex-specific considerations and providing abnormal value rates for measurements to enhance understanding of patients' characteristics.
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Affiliation(s)
- Shiri Sherf-Dagan
- Department of Nutrition Sciences, School of Health Sciences, Ariel University, Kiryat H'mada 3, Ariel, Israel.
- Department of Nutrition, Assuta Medical Center, Tel Aviv, Israel.
| | - Rotem Refaeli
- Department of Nutrition Sciences, School of Health Sciences, Ariel University, Kiryat H'mada 3, Ariel, Israel
- Department of Nutrition, Rabin Medical Center, Beilinson hospital, Petah Tikva, Israel
| | - Assaf Buch
- Department of Nutrition Sciences, School of Health Sciences, Ariel University, Kiryat H'mada 3, Ariel, Israel
- Institute of Endocrinology, Metabolism and Hypertension, Tel Aviv Sourasky Medical Center, Tel Aviv, Israel
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16
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Escamilla RF, Yamashiro K, Asuncion R, MacLean D, Thompson IS, McKeough M. Comparison of four quick and reliable methods of assessing body fat appropriate for clinical settings among young, middle-age, and older healthy male and female adults. J Phys Ther Sci 2024; 36:518-525. [PMID: 39239405 PMCID: PMC11374165 DOI: 10.1589/jpts.36.518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 06/12/2024] [Indexed: 09/07/2024] Open
Abstract
[Purpose] Compare four quick (approximately 60 s), reliable methods of assessing %body-fat (%BF) among young (Y, 18-34 years), middle-age (M, 35-59 years), and older (O, 60-88 years) healthy-adults. [Participants and Methods] One-hundred-eighty healthy males-and-females were equally (n=30) divided into Y, M, and O age groups to assess %BF. The %BF methods were: 1) Bioelectrical-impedance-Inbody770 (IB)-criterion reference; 2) Body-mass-index (BMI); 3) Abdominal-and-hip circumferences (CIR); and 4) Skinfold (SF). [Results] %BF were significantly different among the four body-fat methods and among the three age-groups for both males-and-females. %BF among IB,BMI,CIR, and SF were, respectively, 15.7 ± 4.7%, 19.6 ± 3.2%, 17.3 ± 3.5%, and 12.1 ± 4.1% for Y-males; 18.3 ± 5.7%, 22.8 ± 3.6%, 19.6 ± 3.6%, and 15.6 ± 4.5% for M-males; 24.4 ± 6.5%, 25.8 ± 3.3%, 24.0 ± 4.5%, and 20.0 ± 4.1% for O-males; 24.9 ± 6.9%, 28.9 ± 4.1%, 29.4 ± 4.6%, and 22.4 ± 6.3% for Y-females; 25.1 ± 7.0%, 31.4 ± 4.7%, 33.0 ± 4.5%, and 25.0 ± 4.5% for M-females; 35.1 ± 6.3%, 35.5 ± 4.3%, 38.4 ± 4.8%, and 26.4 ± 3.7% for O-females. [Conclusion]The most accurate %BF-methods to use in clinical settings are CIR for Y-and-M-males, CIR and BMI for O-males, SF for Y-and M-females, and BMI for O-females. The least accurate %BF methods are BMI and SF for Y-males, BMI for M-males, SF for O-males, BMI and CIR for Y-and M-females, and SF for O-females. While all 4-methods of assessing %BF can easily and quickly be employed in clinical settings, some methods significantly underestimate or overestimate %BF and yield different results among varying age groups and sex. These findings help identify people at early health risk of cardiometabolic disease, with O-males and O-females at higher risk.
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Affiliation(s)
- Rafael F Escamilla
- Department of Physical Therapy, California State University, Sacramento: 6000 J Street MS 6020 Sacramento CA 95819, USA
| | - Kyle Yamashiro
- Department of Physical Therapy, California State University, Sacramento: 6000 J Street MS 6020 Sacramento CA 95819, USA
| | - Robert Asuncion
- Department of Physical Therapy, California State University, Sacramento: 6000 J Street MS 6020 Sacramento CA 95819, USA
| | | | - Irwin Scott Thompson
- Department of Physical Therapy, California State University, Sacramento: 6000 J Street MS 6020 Sacramento CA 95819, USA
| | - Michael McKeough
- Department of Physical Therapy, California State University, Sacramento: 6000 J Street MS 6020 Sacramento CA 95819, USA
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17
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Nasir K. Embracing the duality of BMI and central adiposity. Lancet 2024; 404:824-825. [PMID: 39216958 DOI: 10.1016/s0140-6736(24)01615-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 08/01/2024] [Indexed: 09/04/2024]
Affiliation(s)
- Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, DeBakey Heart and Vascular Center, Center for Cardiovascular Computational and Precision Health, and Center for Health Data Science and Analytics, Houston Methodist, Houston, TX 77030, USA.
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18
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Zhou B, Bennett JE, Wickham AP, Singleton RK, Mishra A, Carrillo-Larco RM, Ikeda N, Jain L, Barradas-Pires A, Heap RA, Lhoste VPF, Sheffer KE, Phelps NH, Rayner AW, Gregg EW, Woodward M, Stevens GA, Iurilli MLC, Danaei G, Di Cesare M, Aguilar-Salinas CA, Ahmad NA, Bovet P, Chen Z, Damasceno A, Filippi SL, Janszky I, Kengne AP, Khang YH, Khunti K, Laxmaiah A, Lim LL, Lissner L, Margozzini P, Mbanya JCN, McGarvey ST, Shaw JE, Söderberg S, Soto-Mota LA, Wang J, Zaccardi F, Abarca-Gómez L, Abbasi-Kangevari M, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Acosta-Cazares B, Adam I, Adamczyk M, Aekplakorn W, Agdeppa IA, Aghazadeh-Attari J, Agyemang C, Ahmad MH, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Hinai H, Al-Lawati JA, Al-Raddadi R, Al Asfoor D, Al Hourani HM, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alieva AV, Alkandari A, Alkhatib BM, Aly E, Amarapurkar DN, Amiano Etxezarreta P, Amougou N, Andersen LB, Anderssen SA, Androutsos O, Anjana RM, Ansari-Moghaddam A, Anufrieva E, Aounallah-Skhiri H, Aris T, Arku RE, Arlappa N, Aryal KK, Assah FK, Assembekov B, Assunção MCF, Auvinen J, Avdičová M, Azad K, Azevedo A, Azimi-Nezhad M, Azizi F, Bacopoulou F, Bahijri S, Bajramovic I, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran R, Barbagallo CM, Barbosa Filho V, Barceló A, Baretić M, Barnoya J, Barrera L, Barros AJD, Barros MVG, Basit A, Bastos JL, Batieha AM, Batista AP, Batista RL, Battakova Z, Baur LA, Bayauli PM, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedek T, Benedics J, Benet M, Benitez Rolandi GE, Benzeval M, Bere E, Berger N, Bergh IH, Berkinbayev S, Bernabe-Ortiz A, Bettiol H, Beybey AF, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boggia JG, Bogova E, Bonaccio M, Bonilla-Vargas A, Borghs H, Botomba S, Bourne R, Boymatova K, Braeckman L, Braithwaite T, Brajkovich I, Branca F, Brenner H, Brewster LM, Briceño Y, Brinduse L, Bringolf-Isler B, Brito M, Brug J, Bugge A, Buntinx F, Buoncristiano M, Burns C, Cabrera de León A, Caixeta RB, Cama T, Can G, Cândido APC, Cañete F, Capanzana MV, Čapková N, Capuano E, Capuano R, Capuano V, Cardoso VC, Carlsson AC, Casanueva FF, Casas M, Censi L, Cervantes‐Loaiza M, Chamnan P, Chamukuttan S, Chan Q, Chaturvedi N, Chen F, Chen H, Chen LS, Cheng YJ, Cheraghian B, Chetrit A, Chikova-Iscener E, Chinapaw MJM, Chinnock A, Chiolero A, Chirita-Emandi A, Chirlaque MD, Chong CL, Christofaro DG, Chudek J, Cifkova R, Cirillo M, Claessens F, Clare P, Cohen E, Confortin SC, Coppinger TC, Cortés LY, Cosmin CR, Costanzo S, Cowan MJ, Cowell C, Crampin AC, Cross AJ, Crujeiras AB, Cruz JJ, Cucu AM, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, da Silva-Ferreira H, Dahm CC, Dallongeville J, Dankner R, Davletov K, de Assis Guedes de Vasconcelos F, de Assis MAA, De Bacquer D, De Bacquer J, de Bont J, De Curtis A, de Fragas Hinnig P, de Gaetano G, De Henauw S, De Miguel-Etayo P, de Oliveira PD, de Paiva KM, De Ridder K, de Valois Correia Júnior MA, Deepa M, DeGennaro VJ, Demarest S, Dennison E, Deschamps V, Dhimal M, Díez Ripollés MP, Dika Z, Djalalinia S, Dominguez L, Donati MB, Donfrancesco C, Dong G, Donoso SP, Dorobantu M, Dörr M, Dragano N, Drygas W, Du S, Duante CA, Duboz P, Duda RB, Duleva VL, Dushpanova A, Dyussupova A, Dziankowska-Zaborszczyk E, Ebrahimi N, Echeverría G, Eddie R, Eftekhar E, Efthymiou V, Egbagbe EE, Eghtesad S, Ekelund U, El-Khateeb M, El Ati J, Elosua R, Enang O, Erasmus RT, Erem C, Ergor G, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Esmaeili A, Evans RG, Fakhradiyev I, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Farzadfar F, Farzi Y, Fattahi MR, Fawwad A, Felix-Redondo FJ, Ferguson TS, Fernandes RA, Fernández-Bergés D, Fernando DR, Ferrante D, Ferrari G, Ferrari M, Ferreccio C, Ferrer E, Figueiró TH, Fijalkowska A, Fink G, Fisberg M, Forsner M, Fottrell EF, Fouad HM, Francis DK, Frontera G, Fuchs FD, Fuchs SC, Furdela V, Furusawa T, Gabriela SA, Gaciong Z, Galán Cuesta M, Galbarczyk A, Galcheva SV, Galfo M, Garcia-de-la-Hera M, Garcia P, Garnett SP, Gasull M, Gazzinelli A, Gehring U, Gerdts E, Ghaderi E, Ghamari SH, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gianfagna F, Gironella G, Giwercman A, Gkiouras K, Glushkova N, Godara R, Godos J, Goldberg M, Gómez G, Gómez Gómez JH, Gomez LF, Gómez SF, Gomula A, Gonçalves Cordeiro da Silva B, Gonçalves H, Gonçalves M, González-Alvarez AD, Gonzalez-Chica DA, González-Gil EM, Gonzalez-Gross M, González-Rivas JP, Gonzalez AR, Gottrand F, Grafnetter D, Grajda A, Grammatikopoulou MG, Grodzicki T, Grøholt EK, Grøntved A, Guajardo V, Guallar-Castillón P, Guerchet M, Guerrero R, Guimaraes AL, Gujral UP, Gulliford MC, Gunter MJ, Gupta R, Gureje O, Gurinović MA, Gurzkowska B, Gutierrez L, Gwee X, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hanekom WA, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hardy L, Hari Kumar R, Harooni J, Hashemi-Shahri SM, Hassapidou M, Hata J, Haugsgjerd T, Heinen M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herrala S, Herrera-Cuenca M, Herrera VM, Herter-Aeberli I, Herzig KH, Heshmat R, Hill AG, Ho SY, Holdsworth M, Homayounfar R, Homs C, Hoogendijk EO, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huiart L, Huidumac Petrescu C, Huisman M, Husseini A, Huybrechts I, Hwalla N, Iacoviello L, Iakupova EM, Iannone AG, Igland J, Ijoma C, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Islek D, Ittermann T, Ivanova-Pandourska IY, Iwasaki M, Jääskeläinen T, Jackson RT, Jaddou HY, Jadoul M, Jafar T, Jan N, Janus E, Jarani J, Jarnig G, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jha AK, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, Joshi P, Joshi R, Josipović J, Joukar F, Jóźwiak JJ, Juolevi A, Juresa V, Jureša V, Kaaks R, Kaducu FO, Kadvan AL, Kafatos A, Kajantie EO, Kakutia N, Kállayová D, Kalmatayeva Z, Kalter-Leibovici O, Kannan S, Kapantais E, Karaglani E, Karakosta A, Karki KB, Kassi Anicet A, Katibeh M, Katulanda P, Katzmarzyk PT, Kauhanen J, Kazakbaeva GM, Kaze FF, Ke C, Keinänen-Kiukaanniemi S, Kelishadi R, Kelleher C, Kemper HCG, Keramati M, Kersting M, Khader YS, Khaledifar A, Khalili D, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl SJ, Kiechl S, Kim HC, Klakk H, Klanarong S, Klanova J, Klimek M, Knoflach M, Kobel S, Koirala B, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Korzycka M, Kos J, Koskinen S, Koussoh Simone M, Kovács É, Kovalskys I, Kowlessur S, Koziel S, Kratenova J, Kratzer W, Kriemler S, Kristensen PL, Krizan H, Kroker-Lobos MF, Krokstad S, Kruger HS, Kruger R, Kryst Ł, Kubinova R, Kujala UM, Kujundzic E, Kulaga Z, Kulimbet M, Kumari M, Kunešová M, Kurjata P, Kyobutungi C, La QN, Labadarios D, Lachat C, Lai D, Laid Y, Lall L, Landaeta Jimenez M, Landais E, Lankila T, Lanska V, Lappas G, Larijani B, Lateva MP, Latt TS, Laurenzi M, Lazo-Porras M, Le Coroller G, Le Nguyen Bao K, Lehtimäki T, Lemogoum D, Leong E, Leszczak J, Leung GM, Li Y, Liivak M, Lim C, Lim WY, Lima-Costa MF, Lin HH, Lind L, Litwin M, Liu L, Liu X, Longo Abril G, Lopes O, Lopez-Garcia E, López-Gil JF, Lopez T, Lozano JE, Lukrafka JL, Luksiene D, Lundqvist A, Lunet N, Lunogelo C, Lustigová M, M'Buyamba-Kabangu JR, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Madar AA, Maestre GE, Maggi S, Magliano DJ, Magnacca S, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekpour MR, Malekzadeh F, Malekzadeh R, Mallikharjuna Rao K, Malyutina S, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Mapatano MA, Maria-Magdalena R, Mariño J, Markaki A, Marques LP, Marrugat J, Martorell R, Maruszczak K, Masala G, Mascarenhas LP, Masimango Imani M, Masinaei M, Mathiesen EB, Matijasevich A, Matłosz P, Matsha TE, Matsudo V, Matteo G, Maulik PK, Mavrogianni C, Mc Donald Posso AJ, McFarlane SR, McLean RM, Mediene Benchekor S, Mehlig K, Mehrparvar AH, Melgarejo JD, Méndez F, Mendivil CO, Mendoza Montano C, Menezes AMB, Mensink GBM, Mereke A, Meshram II, Meto DT, Meyer HE, Mi J, Miłkowska K, Miller JC, Milushkina O, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mišigoj-Duraković M, Mistretta A, Mocanu V, Modesti PA, Moghaddam SS, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohd Yusoff MF, Mohebbi I, Møller NC, Molnár D, Momenan A, Mondo CK, Monroy-Valle MM, Montenegro Mendoza RA, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moradpour F, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Moslem A, Mosquera M, Mossakowska M, Mostafa A, Mostafavi SA, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muca F, Mugoša B, Munroe PB, Mursu J, Musa KI, Musić Milanović S, Musil V, Musinguzi G, Mustafa N, Muyer MTMC, Nabipour I, Naidu BM, Najafi F, Nalecz H, Námešná J, Narayan KMV, Naseri T, Nathalie M, Neelapaichit N, Nejatizadeh A, Nenko I, Nervi F, Neuhauser HK, Ng TP, Nguyen CT, Nguyen QV, Nguyen QN, Ni MY, Nie P, Nieto-Martínez RE, Niiranen TJ, Ninomiya T, Nishi N, Nishtar S, Noale M, Noboa OA, Nogueira H, Norton KI, Noto D, Nowak-Szczepanska N, Nsour MA, Nuhoğlu I, Nurk E, Nuwaha F, Nyirenda M, O'Neill TW, Ochimana C, Ochoa-Avilés AM, Oda E, Odili AN, Oh K, Ohtsuka R, Oldenburg B, Olié V, Omar MA, Omar SM, Onat A, Ong SK, Onland-Moret NC, Ono LM, Onodugo O, Ordunez P, Ornelas R, Ortiz AP, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Ottendahl CB, Otu A, Overvad K, Owusu-Dabo E, Padez CP, Pagkalos I, Pajula N, Palloni A, Palmieri L, Pan WH, Panza F, Paoli M, Papadopoulou SK, Pareja RG, Park SW, Park S, Parnell WR, Parsaeian M, Pascanu IM, Pasquet P, Patel ND, Pavlyshyn H, Pechlaner R, Pećin I, Pedro JM, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Perez-Londoño A, Pérez CM, Peterkova V, Petrovna Kovtun O, Peykari N, Pham ST, Pichardo RN, Pierre-Marie P, Pikhart H, Pilav A, Piler P, Piwonska A, Pizarro AN, Plata S, Pop RM, Popkin BM, Popovic SR, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Prista A, Providencia R, Puder JJ, Pudule I, Puhakka S, Puiu M, Punab M, Qorbani M, Quialheiro A, Quintana HK, Quiroga-Padilla PJ, Quoc Bao T, Rach S, Rahimikazerooni S, Rahman M, Raitakari O, Rakhmatulloev S, Rakovac I, Ramachandran A, Ramadan OPC, Ramirez-Zea M, Ramos R, Rampal L, Rampal S, Ramsay SE, Rangel Junior JFLB, Rangel Reina DA, Rangelova LS, Rarra V, Rashidi MM, Rech CR, Redon J, Regecová V, Renner JDP, Repasy JA, Reuter CP, Revilla L, Reynolds A, Rezaei N, Rezaianzadeh A, Riboli E, Rigo F, Rigotti A, Riley LM, Rinke de Wit TF, Risérus U, Ritti-Dias RM, Roa RG, Roccaldo R, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Rodríguez AY, Roggenbuck U, Rohloff P, Rojas-Martinez R, Romeo EL, Rosario RV, Rosengren A, Rouse I, Rubinstein A, Ruiz-Betancourt BS, Ruiz-Castell M, Ruiz Moreno E, Rusakova IA, Rusek W, Rust P, Rutkowski M, Saamel M, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Saghi MH, Saidi O, Saieva C, Sakata S, Saki N, Šalaj S, Salazar Martinez E, Salkhanova A, Salonen JT, Samoutian M, Sánchez-Abanto J, Sánchez Rodríguez I, Santos DA, Santos IS, Santos MP, Santos TR, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Saum KU, Savin S, Sbaraini M, Scazufca M, Schaan BD, Schienkiewitz A, Schindler K, Schipf S, Schmidt AF, Schmidt B, Schmidt CO, Schöttker B, Schramm S, Schramm S, Schröder H, Schultsz C, Schutte AE, Sebert S, Sedaghattalab M, Sein AA, Sen A, Sepanlou SG, Sequera G, Ševčíková Ľ, Sewpaul R, Shamah-Levy T, Shamshirgaran SM, Sharafkhah M, Sharma SK, Sharman A, Shayanrad A, Shayesteh AA, Shengelia L, Shibuya K, Shimizu-Furusawa H, Shiri R, Shoranov M, Shrestha N, Si-Ramlee K, Sibai AM, Sidossis LS, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Sjöström M, Skoblina NA, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Smith L, Soares FC, Sobek G, Sobngwi E, Sodemann M, Soemantri A, Solfrizzi V, Somi MH, Sørgjerd EP, Sorić M, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Spiroski I, Staessen JA, Stang A, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Sturua L, Suarez-Ortegón MF, Suebsamran P, Sulo G, Sundström J, Suriyawongpaisal P, Swinburn BA, Sylva RC, Szponar L, Tai ES, Tambalis KD, Tamosiunas A, Tanabayev B, Tanrygulyyeva M, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Te Velde S, Tebar WR, Tell GS, Tello T, Thankappan KR, Theodoridis X, Thirunavukkarasu S, Thomas N, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolstrup JS, Topbas M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trivedi A, Tshepo L, Tsintavis P, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Turley ML, Tzala E, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Usupova Z, Uusitalo HMT, Uysal N, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varela-Moreiras G, Vargas LN, Vasan SK, Vasques DG, Vega T, Velasquez-Melendez G, Velika B, Verdot C, Verloigne M, Veronesi G, Verschuren WMM, Verstraeten R, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Virtanen JK, Visser M, Viswanathan B, Vladulescu M, Völzke H, Voutilainen A, Vrijheid M, Wade AN, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Westbury L, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wilks RJ, Willeit K, Willeit P, Williams J, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong EB, Wu FC, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yan L, Yan W, Yang Y, Yépez García M, Yoosefi M, Yoshihara A, Younger-Coleman NO, Yu YL, Yu Y, Yusoff AF, Zafiropulos V, Zainuddin AA, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zhang B, Zhang ZY, Zhecheva YV, Zholdin B, Zimmet P, Zins M, Zuñiga Cisneros J, Zuziak M, Ezzati M. General and abdominal adiposity and hypertension in eight world regions: a pooled analysis of 837 population-based studies with 7·5 million participants. Lancet 2024; 404:851-863. [PMID: 39216975 DOI: 10.1016/s0140-6736(24)01405-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/24/2024] [Accepted: 07/04/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND Adiposity can be measured using BMI (which is based on weight and height) as well as indices of abdominal adiposity. We examined the association between BMI and waist-to-height ratio (WHtR) within and across populations of different world regions and quantified how well these two metrics discriminate between people with and without hypertension. METHODS We used data from studies carried out from 1990 to 2023 on BMI, WHtR and hypertension in people aged 20-64 years in representative samples of the general population in eight world regions. We graphically compared the regional distributions of BMI and WHtR, and calculated Pearson's correlation coefficients between BMI and WHtR within each region. We used mixed-effects linear regression to estimate the extent to which WHtR varies across regions at the same BMI. We graphically examined the prevalence of hypertension and the distribution of people who have hypertension both in relation to BMI and WHtR, and we assessed how closely BMI and WHtR discriminate between participants with and without hypertension using C-statistic and net reclassification improvement (NRI). FINDINGS The correlation between BMI and WHtR ranged from 0·76 to 0·89 within different regions. After adjusting for age and BMI, mean WHtR was highest in south Asia for both sexes, followed by Latin America and the Caribbean and the region of central Asia, Middle East and north Africa. Mean WHtR was lowest in central and eastern Europe for both sexes, in the high-income western region for women, and in Oceania for men. Conversely, to achieve an equivalent WHtR, the BMI of the population of south Asia would need to be, on average, 2·79 kg/m2 (95% CI 2·31-3·28) lower for women and 1·28 kg/m2 (1·02-1·54) lower for men than in the high-income western region. In every region, hypertension prevalence increased with both BMI and WHtR. Models with either of these two adiposity metrics had virtually identical C-statistics and NRIs for every region and sex, with C-statistics ranging from 0·72 to 0·81 and NRIs ranging from 0·34 to 0·57 in different region and sex combinations. When both BMI and WHtR were used, performance improved only slightly compared with using either adiposity measure alone. INTERPRETATION BMI can distinguish young and middle-aged adults with higher versus lower amounts of abdominal adiposity with moderate-to-high accuracy, and both BMI and WHtR distinguish people with or without hypertension. However, at the same BMI level, people in south Asia, Latin America and the Caribbean, and the region of central Asia, Middle East and north Africa, have higher WHtR than in the other regions. FUNDING UK Medical Research Council and UK Research and Innovation (Innovate UK).
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Mbuthia GW, Mwangi J, Magutah K, Oguta JO, Ngure K, McGarvey ST. Preliminary efficacy of a community health worker homebased intervention for the control and management of hypertension in Kiambu County, Kenya- a randomized control trial. PLoS One 2024; 19:e0293791. [PMID: 39208336 PMCID: PMC11361652 DOI: 10.1371/journal.pone.0293791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Accepted: 02/06/2024] [Indexed: 09/04/2024] Open
Abstract
INTRODUCTION In Sub Saharan Africa, there is a growing burden of non-communicable diseases, which poses a big challenge to the resource-limited health system in these settings. OBJECTIVE The aim of this study was to determine the feasibility and preliminary efficacy of a community health workers (CHWs) home-based lifestyle interventions to improve blood pressure (BP) control and body composition among hypertensive patients in low-income populations of Kiambu County, Kenya. METHODS This was a randomized controlled trial (RCT) involving 80 patients with uncontrolled high BP (systolic BP (SBP) ≥140mmHg and/or diastolic BP (DBP) ≥90) randomized to either a CHW homebased intervention or a usual care (control) arm and followed up for 6 months. The intervention involved monthly CHW home-visits for health education and audits on behavioral risk factors that affect BP. An adapted WHO stepwise questionnaire and international physical activity questionnaire was used to collect data on behavioral cardiovascular risk factors. To assess the main outcomes of BP, body mass index (BMI) and waist-height-ratio (WHtR), a survey was conducted at baseline, 3 months, and 6 months. Data regarding univariate, bivariate and multivariate (repeated measurements between and within groups) analysis at 5% level of significance were analyzed using STATA 18. Generalized estimating equations (GEE) for repeated measures were used to estimate changes in BP, BMI and WHtR, and to examine the association between the CHW intervention and BP control. RESULTS The study revealed that 77.5% and 92.5% of the participants in usual care and intervention groups completed the follow-up, respectively. After 6 months of follow-up, there was a reduction in the mean SBP and DBP for both arms, and reductions in BMI and WHtR only in the intervention arm. The adjusted mean reduction in SBP (-8.4 mm Hg; 95% CI, -13.4 to -3.3; P = 0.001) and DBP (-5.2 mm Hg 95% CI, -8.3 to -2.0; P<0.001) were significantly higher in the intervention group compared to the control group. The proportion of participants who achieved the controlled BP target of <140/90 mm Hg was 62.2% and 25.8% for the intervention and usual care arm, respectively. The proportion with controlled BP was significantly higher in the intervention arm compared to the usual care arm after adjusting for baseline covariates (AOR 2.8, 95% CI 1.3-6.0, p = 0.008). There was no significant effect of the intervention on BMI and WHtR. CONCLUSION A home-based CHW intervention was significantly associated with reduction in BP among hypertensive patients compared to usual care. Future fully powered RCTs to test the effectiveness of such interventions among low-income populations are recommended. TRIAL REGISTRATION Trial registration number: PACTR202309530525257.
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Affiliation(s)
- Grace Wambura Mbuthia
- College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - James Mwangi
- School of Public Health and Community Development, Maseno University, Kisumu, Kenya
- World Health Organisation Somalia, ATMIS Protected Area, Mogandishu, Somalia
| | - Karani Magutah
- School of Medicine, College of Health Sciences, Moi University Eldoret, Eldoret, Kenya
| | - James Odhiambo Oguta
- Division of Population Health, Sheffield Centre for Health and Related Research, School of Medicine and Population Health, University of Sheffield, Sheffield, United Kingdom
| | - Kenneth Ngure
- College of Health Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Stephen T. McGarvey
- Department of Epidemiology, School of Public Health and Department of Anthropology, International Health Institute, Brown University, Providence, RI, United States of America
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McGehee DL, Saben JL, Sims CR, Turner D, Thakali KM, Diaz EC, Sobik SR, Edwards T, Krukowski RA, Williams DK, Børsheim E, Andres A. Childhood cardiometabolic risk factors associated with the perinatal environment of the maternal-paternal-child triad. Pediatr Obes 2024:e13162. [PMID: 39183454 DOI: 10.1111/ijpo.13162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 07/05/2024] [Accepted: 07/29/2024] [Indexed: 08/27/2024]
Abstract
INTRODUCTION Clustering of cardiometabolic risk factors in childhood significantly increases the risk of atherosclerotic cardiovascular disease later in life. Identification of modifiable parental factors that contribute to offspring cardiometabolic health is critical for the prevention of disease. The objective was to identify factors associated with child cardiometabolic risk factors at age 5 years. METHODS Triads from a longitudinal cohort were recalled at 5 years (n = 68). Dietary intake, anthropometrics, physical activity and serum-based risk factors were collected. Best subset selection, linear and logistic regressions were used to identify triad variables associated with increased risk of cardiometabolic risk factor clustering at age 5 years. RESULTS In this cohort, best subset modelling revealed that increased paternal fat mass, serum low-density lipoproteins and triglycerides, maternal dietary added sugar and being female were associated with increased odds of offspring having two or more cardiometabolic risk factors at age 5 years. CONCLUSIONS Dietary and exercise interventions prior to conception targeting paternal adiposity and dyslipidaemia as well as maternal dietary habits could decrease children's cardiometabolic risk in later life.
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Affiliation(s)
- Diamond L McGehee
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | | | - Clark R Sims
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Donald Turner
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
| | - Keshari M Thakali
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Eva C Diaz
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Research Institute, Little Rock, Arkansas, USA
| | - Sarah R Sobik
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Timothy Edwards
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Arkansas Children's Research Institute, Little Rock, Arkansas, USA
| | | | - D Keith Williams
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Elisabet Børsheim
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Research Institute, Little Rock, Arkansas, USA
| | - Aline Andres
- Arkansas Children's Nutrition Center, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children's Research Institute, Little Rock, Arkansas, USA
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Chen T, Liu Y, Wu S, Long S, Feng L, Lu W, Chen W, Hong G, Zhou L, Wang F, Luo Y, Zou H, Liu W. Comparison of TyG and Newly TyG Related Indicators for Chronic Kidney Diseases Estimation in a Chinese Population. Diabetes Metab Syndr Obes 2024; 17:3063-3075. [PMID: 39184550 PMCID: PMC11342947 DOI: 10.2147/dmso.s469260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 08/07/2024] [Indexed: 08/27/2024] Open
Abstract
Background Obesity and insulin resistance (IR) are positively associated with chronic kidney disease (CKD). Previous studies have identified triglyceride-glucose index (TyG) as a valuable surrogate of insulin resistance. Recently, new indicators combining TyG and simple anthropometric indices have emerged, The objective of this study was to assess the diagnostic accuracy of TyG and newly TyG related indicators in detecting CKD and explore which indices were superior in associating with CKD in Chinese population. Methods Correlation test, logistic regression analysis, and receiver operating characteristic (ROC) analyses were used to evaluate the optimal cut-off and value of TyG, TyG-body mass index (TyG-BMI), TyG-waist circumference (TyG-WC), TyG-waist to height ratio (TyG-WHtR) for predicting CKD. Results TyG-WHtR, TyG-WC, and TyG-BMI correlated with several risk factors for CKD. After adjusting for confounders, TyG-WHtR and TyG-WC remained significantly associated with CKD, while TyG-BMI did not. The highest quartiles of TyG-WHtR and TyG-WC had 1.95- and 1.91-fold increased risk of CKD than the lowest quartiles (P<0.05). TyG-WHtR had the largest AUC (0.687) for CKD detection, followed by TyG-WC (0.669), TyG (0.652), and TyG-BMI (0.648). A united model that involved TyG-WHtR and other risk variables had higher predictive performance (AUC=0.791) than a single TyG related indicator. However, TyG had the highest OR (2.713, 95% CI, 1.446-5.090) for reduced eGFR in the fully adjusted model. A united model that involved TyG and WHtR separately had stronger predictive ability (AUC: 0.794) than the model that involved TyG-WHtR individually (AUC:0.791). Conclusion This study found that TyG-WHtR had a better diagnostic value in the diagnosis of CKD, compared to other TyG related indicators, but none of the TyG related indicators showed a stronger association with CKD than TyG. Further research and more refined algorithms are needed to verify these new indicators.
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Affiliation(s)
- Tong Chen
- Department of Nephrology, Chongqing Key Laboratory of Prevention and Treatment of Kidney Disease, Chongqing Clinical Research Center of Kidney and Urology Diseases, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, 400037, People’s Republic of China
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, 518060, People’s Republic of China
- Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yu Liu
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
- Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, National Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, 518060, People’s Republic of China
| | - Shiquan Wu
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Siyu Long
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Ling Feng
- Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People’s Republic of China
- Department of Nephrology, Shenzhen Hospital, Southern Medical University, Shenzhen, People’s Republic of China
| | - Wenqian Lu
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, People’s Republic of China
| | - Wenya Chen
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Guoai Hong
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Li Zhou
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Fang Wang
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Yuechan Luo
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
| | - Hequn Zou
- South China Hospital of Shenzhen University, Shenzhen, 518116, People’s Republic of China
- Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, People’s Republic of China
| | - Weihua Liu
- Department Nephrology of Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fujian, 350001, People’s Republic of China
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22
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Nakhostin-Ansari A, Razavi E, Seifi S, Ahmadi M, Hoveidaei AH, Nalini M, Gandomkar A, Malekzadeh F, Poustchi H, Fattahi MR, Anushiravani A, Malekzadeh R. The association between anthropometric indices and ischemic heart disease: a large-scale cross-sectional study on the Iranian population. Sci Rep 2024; 14:18950. [PMID: 39147775 PMCID: PMC11327363 DOI: 10.1038/s41598-024-54148-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/08/2024] [Indexed: 08/17/2024] Open
Abstract
This study aimed to evaluate the superiority of anthropometric indices compared to others for predicting ischemic heart disease (IHD) or cardiometabolic risk factors. This study was a cross-sectional analysis of the Pars Cohort Study data. In total, 9229 Valashahr inhabitants aged 40-75 were included in the analysis. The area under the receiver operating characteristic curve (AUC) analyses was used to compare the predictive accuracy of four anthropometric measures, including body mass index, waist to height ratio (WHtR), waist to hip ratio (WHR), and waist circumference (WC). IHD prevalence was 10.4% in our sample. The prevalence of diabetes mellitus (DM), hypertension, dyslipidemia, and metabolic syndrome was 12.7%, 29.2%, 58.4%, and 22.3%, respectively. All anthropometric indices had poor to good accuracy in predicting IHD risk factors, with AUCs ranging between 0.580 and 0.818. WHR was the most accurate measure for predicting IHD in both genders. All indexes had a better accuracy for predicting DM, dyslipidemia, and metabolic syndrome (MetS) in males than in females. To conclude, anthropometric measures, especially WC and WHtR, are recommended for predicting metabolic syndrome in primary prevention settings. These simple indices could help physicians find those who need further evaluation for MetS.
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Affiliation(s)
- Amin Nakhostin-Ansari
- Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Erfan Razavi
- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shakiba Seifi
- Clinical Research Development Center, Islamic Azad University, Najafabad Branch, Najafabad, Iran
| | - Mohammad Ahmadi
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Human Hoveidaei
- Students' Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahdi Nalini
- Digestive Disease Research Center, Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
- Cardiovascular Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Abdollah Gandomkar
- Non-Communicable Disease Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Fatemeh Malekzadeh
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, North Kargar Ave, Tehran, Iran
| | - Hossein Poustchi
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, North Kargar Ave, Tehran, Iran
| | - Mohammad Reza Fattahi
- Gastroenterohepatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Amir Anushiravani
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, North Kargar Ave, Tehran, Iran
| | - Reza Malekzadeh
- Liver and Pancreatobiliary Diseases Research Center, Digestive Disease Research Institute, Shariati Hospital, Tehran University of Medical Sciences, North Kargar Ave, Tehran, Iran.
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23
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González-Gil EM, Peruchet-Noray L, Sedlmeier AM, Christakoudi S, Biessy C, Navionis AS, Mahamat-Saleh Y, Jaafar RF, Baurecht H, Guevara M, Etxezarreta PA, Verschuren WMM, Boer JMA, Olsen A, Tjønneland A, Simeon V, Castro-Espin C, Aune D, Heath AK, Gunter M, Colorado-Yohar SM, Zilhão NR, Dahm CC, Llanaj E, Schulze MB, Petrova D, Sieri S, Ricceri F, Masala G, Key T, Viallon V, Rinaldi S, Freisling H, Dossus L. Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank. BMC Med 2024; 22:334. [PMID: 39148045 PMCID: PMC11328449 DOI: 10.1186/s12916-024-03544-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 07/29/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND The allometric body shape index (ABSI) and hip index (HI), as well as multi-trait body shape phenotypes, have not yet been compared in their associations with inflammatory markers. The aim of this study was to examine the relationship between novel and traditional anthropometric indexes with inflammation using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts. METHODS Participants from EPIC (n = 17,943, 69.1% women) and UK Biobank (n = 426,223, 53.2% women) with data on anthropometric indexes and C-reactive protein (CRP) were included in this cross-sectional analysis. A subset of women in EPIC also had at least one measurement for interleukins, tumour necrosis factor alpha, interferon gamma, leptin, and adiponectin. Four distinct body shape phenotypes were derived by a principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). PC1 described overall adiposity, PC2 tall with low WHR, PC3 tall and centrally obese, and PC4 high BMI and weight with low WC and HC, suggesting an athletic phenotype. ABSI, HI, waist-to-height ratio and waist-to-hip index (WHI) were also calculated. Linear regression models were carried out separately in EPIC and UK Biobank stratified by sex and adjusted for age, smoking status, education, and physical activity. Results were additionally combined in a random-effects meta-analysis. RESULTS Traditional anthropometric indexes, particularly BMI, WC, and weight were positively associated with CRP levels, in men and women. Body shape phenotypes also showed distinct associations with CRP. Specifically, PC2 showed inverse associations with CRP in EPIC and UK Biobank in both sexes, similarly to height. PC3 was inversely associated with CRP among women, whereas positive associations were observed among men. CONCLUSIONS Specific indexes of body size and body fat distribution showed differential associations with inflammation in adults. Notably, our results suggest that in women, height may mitigate the impact of a higher WC and HC on inflammation. This suggests that subtypes of adiposity exhibit substantial variation in their inflammatory potential, which may have implications for inflammation-related chronic diseases.
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Affiliation(s)
- Esther M González-Gil
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Laia Peruchet-Noray
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Anja M Sedlmeier
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
- Center for Translational Oncology, University Hospital Regensburg, Regensburg, Germany
- Bavarian Cancer Research Center (BZKF), Regensburg, Germany
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Anne-Sophie Navionis
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Yahya Mahamat-Saleh
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Rola F Jaafar
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Marcela Guevara
- Instituto de Salud Pública y Laboral de Navarra, 31003, Pamplona, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Navarra Institute for Health Research (IdiSNA), 31008, Pamplona, Spain
| | - Pilar Amiano Etxezarreta
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Sub Directorate for Public Health and Addictions of Gipuzkoa, Ministry of Health of the Basque Government, San Sebastian, Spain
- Epidemiology of Chronic and Communicable Diseases Group, BioGipuzkoa (BioDonostia) Health Research Institute, San Sebastián, Spain
| | - W M Monique Verschuren
- Centre forPrevention, Lifestyle and Health, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jolanda M A Boer
- Centre forPrevention, Lifestyle and Health, National Institute for Public Health and the Environment, PO Box 1, 3720 BA, Bilthoven, the Netherlands
| | - Anja Olsen
- Danish Cancer Institute, Danish Cancer Society, Diet, Cancer and Health Strandboulevarden 49 2100, Copenhagen, Denmark
- Department of Public Health, University of Aarhus, Copenhagen, Denmark
| | - Anne Tjønneland
- Danish Cancer Institute, Danish Cancer Society, Diet, Cancer and Health Strandboulevarden 49 2100, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Vittorio Simeon
- Dipartimento Di Salute Mentale E Fisica E Medicina Preventiva, Università Degli Studi Della Campania 'Luigi Vanvitelli', Napoli, Italy
| | - Carlota Castro-Espin
- Unit of Nutrition and Cancer, Catalan Institute of Oncology-ICO, L'Hospitalet de Llobregat, Barcelona, Spain
- Nutrition and Cancer Group, Epidemiology, Public Health, Cancer Prevention and Palliative Care Program, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Dagfinn Aune
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Department of Research, The Cancer Registry of Norway, Oslo, Norway
- Department of Nutrition, Oslo New University College, Oslo, Norway
| | - Alicia K Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Marc Gunter
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Sandra M Colorado-Yohar
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Department of Epidemiology, Murcia Regional Health Council-IMIB, Murcia, Spain
- Research Group On Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Nuno R Zilhão
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | | | - Erand Llanaj
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), Munchen-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - Dafina Petrova
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), 28029, Madrid, Spain
- Escuela Andaluza de Salud Pública (EASP), 18011, Granada, Spain
- Instituto de Investigación Biosanitaria Ibs, GRANADA, 18012, Granada, Spain
| | - Sabina Sieri
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori Di Milano, Milan, Italy
| | - Fulvio Ricceri
- Centre for Biostatistics, Epidemiology, and Public Health (C-BEPH) Department of Clinical and Biological Sciences, University of Turin, Turin, Italy
| | - Giovanna Masala
- Clinical Epidemiology Unit, Institute for Cancer Research, Prevention, and Clinical Network (ISPRO), Florence, Italy
| | - Tim Key
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Sabina Rinaldi
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Heinz Freisling
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research On Cancer, World Health Organization, 69372, Lyon, CEDEX 08, France
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24
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Hamulka J, Czarniecka-Skubina E, Górnicka M, Gębski J, Leszczyńska T, Gutkowska K. What Determinants Are Related to Milk and Dairy Product Consumption Frequency among Children Aged 10-12 Years in Poland? Nationwide Cross-Sectional Study. Nutrients 2024; 16:2654. [PMID: 39203791 PMCID: PMC11357169 DOI: 10.3390/nu16162654] [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: 07/24/2024] [Revised: 08/07/2024] [Accepted: 08/09/2024] [Indexed: 09/03/2024] Open
Abstract
Due to their high nutritional value, milk and dairy products should be a permanent element of a properly balanced diet for children and adolescents. The study aimed to identify (i) the frequency of milk and dairy product consumption by children aged 10-12 years in the opinion of children and their parents and (ii) the determinants related to the consumption of these products (including lifestyle, nutrition knowledge, and the nutritional status of children's as well as parents' nutrition knowledge). A cross-sectional study was conducted with 12,643 primary school students aged 10-12 and 7363 parents. Dietary data were collected using the Food Frequency Consumption and Nutritional Knowledge Questionnaire (SF-FFQ4PolishChildren® and KomPAN®). Anthropometric measurements were taken and body mass index (BMI) and waist/height ratios (WHtR) were calculated. A logistic regression model was used to assess the likelihood of the frequent consumption of dairy products in the opinion of both the children and their parents, and the quality of the obtained models was assessed using model fit statistics and the Hosmer and Lemeshow test. The frequency of consuming milk and milk products (every day and more) was low in the opinion of children aged 10-12 years (29.6%). According to their parents, the frequency of the consumption of dairy products was slightly higher (44.8%). Six factors associated with the frequency of milk and dairy product consumption were identified independently. These included schoolchildren and their parents' nutrition knowledge, physical activity, sleep, gender, and place of residence. More of these products were consumed by children with greater nutrition knowledge-both their own and their parents'-higher physical activity, longer sleep duration, males, and those living in the city. Family eating habits, particularly eating meals together, also played an important role in the consumption of milk and dairy products. According to the parents, the children in older grades were less likely to consume dairy products more frequently. The obtained results suggest an insufficient consumption of milk and dairy products. The identification of modifiable factors, such as nutrition knowledge, physical activity, sleep duration, and eating meals with the family, suggests the need to improve the existing strategies, including activities encouraging nutritional education for both schoolchildren and their parents.
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Affiliation(s)
- Jadwiga Hamulka
- Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 166 Nowoursynowska St., 02-787 Warsaw, Poland; (J.H.); (M.G.)
| | - Ewa Czarniecka-Skubina
- Department of Food Gastronomy and Food Hygiene, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (WULS), 166 Nowoursynowska St., 02-787 Warsaw, Poland
| | - Magdalena Górnicka
- Department of Human Nutrition, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 166 Nowoursynowska St., 02-787 Warsaw, Poland; (J.H.); (M.G.)
| | - Jerzy Gębski
- Department of Food Market and Consumer Research, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 166 Nowoursynowska St., 02-787 Warsaw, Poland; (J.G.); (K.G.)
| | - Teresa Leszczyńska
- Department of Human Nutrition and Dietetics, Faculty of Food Technology, University of Agriculture in Krakow, 31-120 Kraków, Poland;
| | - Krystyna Gutkowska
- Department of Food Market and Consumer Research, Institute of Human Nutrition Sciences, Warsaw University of Life Sciences (SGGW-WULS), 166 Nowoursynowska St., 02-787 Warsaw, Poland; (J.G.); (K.G.)
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25
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Li S, An L, Fu Z, Zhang W, Liu H. Association between triglyceride-glucose related indices and all-cause and cause-specific mortality in the general population: a cohort study. Cardiovasc Diabetol 2024; 23:286. [PMID: 39113049 PMCID: PMC11304911 DOI: 10.1186/s12933-024-02390-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Accepted: 08/01/2024] [Indexed: 08/11/2024] Open
Abstract
BACKGROUND Although triglyceride-glucose (TyG) index is a reliable indicator of insulin resistance and cardiometabolic disease, its effectiveness in predicting mortality risk has not been adequately validated. We aimed to investigate the association between the TyG-related indices and all-cause and cause-specific mortality in the general population. METHODS A total of 27,642 individuals were included from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. Three indicators were constructed, including the TyG index, TyG combined with waist-to-height ratio (TyG-WHtR), and TyG combined with waist circumference (TyG-WC). Mortality data was acquired through the linkage of NHANES data with National Death Index records. Weighted Cox proportional hazards models were used to estimate the independent association between the TyG-related indices and mortality. Nonlinear associations were explored using restricted cubic splines. RESULTS Multivariable adjusted models showed a progressive increase in all-cause and cause-specific mortality across quartiles of the TyG-related indices. Compared with the lowest quartile of the TyG index, the highest quartile had adjusted hazard ratios of 1.26 (95% CI 1.04-1.52) for all-cause mortality, 1.38 (1.04-1.74) for cardiovascular mortality, and 1.23 (1.01-1.50) for non-cardiovascular mortality, respectively. For the TyG-WHtR index, the corresponding hazard ratios were 1.60 (1.25-2.05), 1.86 (1.26-2.50), and 1.48 (1.10-1.99), respectively. For the TyG-WC index, the corresponding hazard ratios were 1.42 (1.11-1.75), 1.48 (1.04-1.96), and 1.38 (1.05-1.72), respectively. The associations between the three TyG-related indices and all-cause, cardiovascular and non-cardiovascular mortality were J-shaped. Interaction tests revealed significant effect modification by age, low-density lipoprotein cholesterol (LDL-C) level, and statin use (all P values < 0.05). CONCLUSIONS The TyG-related indices were independent predictors of all-cause and cause-specific mortality in the general population. Young individuals should be particularly vigilant, whereas low LDL-C levels and statin use are potentially protective.
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Affiliation(s)
- Shan Li
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Li An
- Department of Respiratory Medicine, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Zhiqing Fu
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Wei Zhang
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China
| | - Hongbin Liu
- Department of Cardiology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
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26
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Shrestha RM, Pham TTP, Yamamoto S, Nguyen CQ, Fukunaga A, Danh PC, Hachiya M, Le HX, Do HT, Mizoue T, Inoue Y. Comparison of waist circumference and waist-to-height ratio as predictors of clustering of cardiovascular risk factors among middle-aged people in rural Khanh Hoa, Vietnam. Am J Hum Biol 2024; 36:e24063. [PMID: 38470099 DOI: 10.1002/ajhb.24063] [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: 08/30/2023] [Revised: 02/05/2024] [Accepted: 02/26/2024] [Indexed: 03/13/2024] Open
Abstract
OBJECTIVE Given the population-level variation in stature, a universal cut-off for waist circumference (WC) may not be appropriate for some populations. We compared the performance of WC and waist-to-height ratio (WHtR) to detect the clustering of cardiovascular disease (CVD) risk factors in rural Vietnam. METHODS We obtained data from a baseline survey of the Khanh Hoa Cardiovascular Study comprising 2942 middle-aged residents (40-60 years). We used areas under the receiver operating characteristics curve (AUROC), net reclassification index (NRI), and integrated discrimination improvement (IDI) to compare the performance of WC and WHtR in predicting CVD risk clustering (≥2 of the following risk factors: hypertension, diabetes, dyslipidemia, and elevated C-reactive protein). RESULTS The optimal cut-off values for WC were 81.8 and 80.7 cm for men and women, respectively. Regarding the clustering of CVD risk factors, the AUROC (95% CI) of WC and WHtR were 0.707 (0.676 to 0.739) and 0.719 (0.689 to 0.749) in men, and 0.682 (0.654 to 0.709) and 0.690 (0.663 to 0.717) in women, respectively. Compared with WC, WHtR had a better NRI (0.229; 0.102-0.344) and IDI (0.012; 0.004-0.020) in men and a better NRI (0.154; 0.050-0.257) in women. CONCLUSIONS The optimal WC cut-off for Vietnamese men was approximately 10 cm below the recommended Asian cut-off. WHtR might perform slightly better in predicting the clustering of CVD risk factors among the rural population in Vietnam.
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Affiliation(s)
- Rachana Manandhar Shrestha
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Thuy Thi Phuong Pham
- Department of Non-communicable Disease Control and Nutrition, Pasteur Institute in Nha Trang, Khanh Hoa, Vietnam
| | - Shohei Yamamoto
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Chau Que Nguyen
- Department of Non-communicable Disease Control and Nutrition, Pasteur Institute in Nha Trang, Khanh Hoa, Vietnam
| | - Ami Fukunaga
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Phan Cong Danh
- Department of Non-communicable Disease Control and Nutrition, Pasteur Institute in Nha Trang, Khanh Hoa, Vietnam
| | - Masahiko Hachiya
- Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Huy Xuan Le
- Pasteur Institute in Nha Trang, Khanh Hoa, Vietnam
| | - Hung Thai Do
- Pasteur Institute in Nha Trang, Khanh Hoa, Vietnam
| | - Tetsuya Mizoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yosuke Inoue
- Department of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan
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Pesqueda-Cendejas K, Parra-Rojas I, Campos-López B, Mora-García PE, Ruiz-Ballesteros AI, Rivera-Escoto M, Cerpa-Cruz S, De la Cruz-Mosso U. Association of c.+677 C>T (rs1801133) and c.+1298 A>C (rs1801131) MTHFR genetic variants with cardiometabolic and disease risk in systemic lupus erythematosus patients: A cross-sectional study. Lupus 2024; 33:918-928. [PMID: 38782407 DOI: 10.1177/09612033241257158] [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] [Indexed: 05/25/2024]
Abstract
Systemic lupus erythematosus (SLE) patients present a high prevalence of cardiometabolic risk, associated with worse clinical manifestations and mortality. Folate, an essential micronutrient that participates in vital immune cellular functions, could positively affect the cardiometabolic and disease risk in SLE, through the methylenetetrahydrofolate reductase (MTHFR) enzyme, which participates in the folate metabolism, where single nucleotide variants (SNVs) have been described as a potential genetic risk factor for SLE. The aim of this study was to determine the association of the c.+677 C>T (rs1801133) and c.+1298 A>C (rs1801131) MTHFR genetic variants with cardiometabolic risk and clinical disease variables in SLE patients. A case-control study was conducted on 394 unrelated Mexican-mestizo women: 199 with SLE according to the 1997 SLE-ACR criteria and 196 control subjects (CS). Folic acid and homocysteine levels were evaluated by immunoassays. Genotyping of MTHFR genetic variants was carried out by allelic discrimination. No significant differences were found for folic acid (p = .15) and homocysteine serum levels (p = .59) between groups. According to the CC c.+677 MTHFR genotype, this was associated with low cardiovascular disease (CVD) risk by the Castelli index (OR = 0.42; p = .03) in SLE patients. The TC (OR = 1.3; p = .03) and the TA (OR = 1.6; p < .01) haplotypes from c.+677 C>T plus c.+1298 MTHFR were associated with SLE risk, while the CC MTHFR haplotype (OR = 0.5; p = .01) was found as a non-risk factor for the disease. In conclusion, the TC and the TA MTHFR haplotypes are associated with disease risk; meanwhile, the CC c.+677 MTHFR genotype confers lower cardiometabolic risk in Mexican-mestizo SLE patients.
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Affiliation(s)
- Karen Pesqueda-Cendejas
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Isela Parra-Rojas
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Laboratorio de Investigación en Obesidad y Diabetes, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de Los Bravo, Mexico
| | - Bertha Campos-López
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Paulina E Mora-García
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Adolfo I Ruiz-Ballesteros
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Melissa Rivera-Escoto
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Sergio Cerpa-Cruz
- Departamento de Reumatología, O.P.D. Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico
| | - Ulises De la Cruz-Mosso
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de La Salud, Universidad de Guadalajara, Guadalajara, Mexico
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Fernández-Lázaro D, Celorrio San Miguel AM, Garrosa E, Fernández-Araque AM, Mielgo-Ayuso J, Roche E, Arribalzaga S. Evaluation of Family-Based Interventions as a Therapeutic Tool in the Modulation of Childhood Obesity: A Systematic Review. CHILDREN (BASEL, SWITZERLAND) 2024; 11:930. [PMID: 39201865 PMCID: PMC11352366 DOI: 10.3390/children11080930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/29/2024] [Accepted: 07/30/2024] [Indexed: 09/03/2024]
Abstract
Childhood obesity is a major public health burden. The prevalence of weight excess for children and the adolescent population (8 to 16 years) is 34.9%. During childhood, lifestyles are acquired, which are developed in adulthood. In this context, the role of parents is crucial, since they are the model to imitate. We aimed to evaluate the current evidence on the effects of family-based interventions as a tool in the treatment of childhood obesity. We reviewed studies indexed in several databases according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Original articles published from 1 January 2014 to 30 May 2024 with a controlled trial design were considered, in which family-based interventions were carried out compared to a control group or to data before the intervention. Although 148 records were identified in the search, 6 studies met inclusion criteria. Overall, studies reported beneficial effects of family-based interventions on improving anthropometric parameters: BMI z-score, BMI, waist circumference, and body fat percentage. Regarding nutritional and physical activity guidelines, general recommendations must consider increased consumption of fruits and vegetables, reducing sugary drinks, controlled screen time, and 30-60 min of physical activity/day. Thus, family-based interventions could be an effective non-pharmacological strategy for modulating childhood obesity, allowing families to modify their lifestyles.
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Affiliation(s)
- Diego Fernández-Lázaro
- Department of Cellular Biology, Genetic, Histology and Pharmacology, Faculty of Health Sciences, University of Valladolid, Campus de Soria, 42003 Soria, Spain
- Neurobiology Research Group, Faculty of Medicine, University of Valladolid, 47005 Valladolid, Spain
- “Nutrition for Sport and Exercise” Working Group, Spanish Nutrition Society (SEÑ), 28010 Madrid, Spain; (J.M.-A.); (E.R.)
| | | | - Evelina Garrosa
- Faculty of Psychology, University of Salamanca, 37007 Salamanca, Spain;
| | - Ana M. Fernández-Araque
- Department of Nursing, Faculty of Health Sciences, University of Valladolid, Campus de Soria, 42003 Soria, Spain;
- Pharmacogenetics, Cancer Genetics, Genetic Polymorphisms and Pharmacoepidemiology Research Group, Faculty of Health Sciences, University of Valladolid, Campus de Soria, 42003 Soria, Spain
| | - Juan Mielgo-Ayuso
- “Nutrition for Sport and Exercise” Working Group, Spanish Nutrition Society (SEÑ), 28010 Madrid, Spain; (J.M.-A.); (E.R.)
- Department of Health Sciences, Faculty of Health Sciences, University of Burgos, 09001 Burgos, Spain
| | - Enrique Roche
- “Nutrition for Sport and Exercise” Working Group, Spanish Nutrition Society (SEÑ), 28010 Madrid, Spain; (J.M.-A.); (E.R.)
- Department of Applied Biology-Nutrition, Institute of Bioengineering, University Miguel Hernández, 03202 Elche, Spain
- Alicante Institute for Health and Biomedical Research (ISABIAL), 03010 Alicante, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Soledad Arribalzaga
- Faculty of Sport Sciences, European University of Madrid, Villaviciosa de Odón, 28670 Madrid, Spain;
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Miyayama C, Shoji H, Murano Y, Ito K, Saita M, Naito T, Fukuda H, Shimizu T. Body Mass Index Changes at 1.5 and 3 Years of Age Affect Adult Body Composition. Pediatr Rep 2024; 16:669-677. [PMID: 39189290 PMCID: PMC11348375 DOI: 10.3390/pediatric16030056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 07/28/2024] [Accepted: 07/29/2024] [Indexed: 08/28/2024] Open
Abstract
Early childhood lays the foundation for many outcomes in later life. Recent studies suggest that early childhood development may contribute to lifestyle-related diseases such as obesity, type 2 diabetes, and cardiovascular disease in adulthood; however, there have been few investigations on this association among adults in Japan. Therefore, we examined the relationship between recent physical measurements in adults who underwent health checkups at our university and their physical measurements at birth and during infancy recorded in the Maternal and Child Health Handbook. The median age and body mass index (BMI) of the participants were 36 years and 20.4 kg/m2, respectively. BMI at the time of health checkup in adults did not correlate with physical measurements at birth, but it was found to be associated with BMI at 1.5 (regression coefficient (β) 0.53, p < 0.05) and 3 (β 0.7, p < 0.01) years of age. In addition, the waist-to-height ratio in adulthood was also associated with BMI at 1.5 (β 0.01, p < 0.05) and 3 (β 0.01, p < 0.05) years of age. These findings suggest that it is critical to provide appropriate guidance to children with high BMI and their parents during health checkups to prevent lifestyle-related disorders in adulthood.
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Affiliation(s)
- Chiharu Miyayama
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Hiromichi Shoji
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Yayoi Murano
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
| | - Kanami Ito
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
| | - Mizue Saita
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan
| | - Toshio Naito
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of General Medicine, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan
| | - Hiroshi Fukuda
- Safety and Health Management Office, Hongo-Ochanomizu Campus, Juntendo University, Tokyo 113-8421, Japan
- Department of Advanced Preventive Medicine and Health Literacy, Juntendo University Graduate School of Medicine, Tokyo 113-8421, Japan
| | - Toshiaki Shimizu
- Department of Pediatrics, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan; (C.M.); (T.S.)
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Tavares MS, de Menezes SLS, Ribeiro EDF, Orsini M, Tuza FAD, de Moura PH, Terra DV, Moreno AM. Associations between Cardiovascular Risk Factors and Timed Up and Go Test for Elderly Participants in Public Physical Activity Programs. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:993. [PMID: 39200604 PMCID: PMC11354187 DOI: 10.3390/ijerph21080993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/12/2024] [Accepted: 07/25/2024] [Indexed: 09/02/2024]
Abstract
Variables such as body mass index (BMI), waist circumference (WC), and waist/height ratio (WHtR) are used to assess cardiovascular risks associated with abdominal obesity. The Timed Up and Go (TTUG) test assesses mobility and the risk of falls, especially in the elderly and individuals with physical limitations. The objective was to correlate anthropometric indicators of cardiovascular risk (BMI, WC, WHtR) with performance on the TTUG test in elderly people who practice physical activity. METHODS Observational, cross-sectional study, CAAE: 27116319.1.0000.8044. Active elderly participants in a public physical exercise program "Project 60 Up", promoted by the Municipal Secretariat for the Elderly of the City of Niterói, RJ, Brazil, were evaluated. Elderly people of both sexes, with independent locomotion and preserved cognitive status, were included and those with visual, hearing, severe mobility difficulties or neurological sequelae and imbalances were excluded. Anthropometric data were collected: BMI, WC, WHtR, and the TTUG test was performed. RESULTS In the sample composed of 55 elderly people of both sexes, with an average age of 68 years, the means of the variables were: body weight (67.8 ± 12.7 kg), height (157.2 ± 8.4 cm), TTUG (10.3 ± 2 s), WC (93.3 ± 10.9 cm), WHtR (0.59), and BMI (27.4 ± 4.4). The correlations were between TTUG and age (r = -0.24, p = 0.69), TTUG and BMI (r = 0.111, p = 0.426), and WC and WHtR (r = 0.885, p < 0.000). Weak correlations were observed between TTUG and BMI and WC and WHtR, indicating that factors other than BMI and abdominal fat accumulation may have a greater influence on performance on the TTUG test. In this specific context of elderly people participating in a physical activity program, the results found may have been shaped by the very nature of the interventions carried out in the program, with factors such as muscular strength, flexibility and balance preserved and acquired through the practice of regular physical exercise. Despite the benefits of physical activity, managing weight and abdominal fat remains challenging for elderly individuals with high anthropometric measurements. CONCLUSIONS Although many elderly people have anthropometric measurements above average levels, the results indicate that no negative influence on their performance on the TTUG was observed. However, the limitation of the sample size and the underrepresentation of elderly people ≥ 80 years and of men highlight the need for future studies with larger and more balanced samples to confirm these results.
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Affiliation(s)
- Marília Salete Tavares
- Exercise Physiology Laboratory, Postgraduate Program in Physical Activity Sciences, Universidade Salgado de Oliveira, Niterói 24030-060, Brazil; (S.L.S.d.M.); (E.D.F.R.)
- Health and Aging Research Group, Universidade Iguaçu, Nova Iguaçu 26275-580, Brazil; (M.O.); (F.A.d.T.); (P.H.d.M.)
| | - Sara Lucia Silveira de Menezes
- Exercise Physiology Laboratory, Postgraduate Program in Physical Activity Sciences, Universidade Salgado de Oliveira, Niterói 24030-060, Brazil; (S.L.S.d.M.); (E.D.F.R.)
- Health Sciences Center, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
| | - Emanuel Davi Farias Ribeiro
- Exercise Physiology Laboratory, Postgraduate Program in Physical Activity Sciences, Universidade Salgado de Oliveira, Niterói 24030-060, Brazil; (S.L.S.d.M.); (E.D.F.R.)
| | - Marco Orsini
- Health and Aging Research Group, Universidade Iguaçu, Nova Iguaçu 26275-580, Brazil; (M.O.); (F.A.d.T.); (P.H.d.M.)
| | - Fábio Augusto d’Alegria Tuza
- Health and Aging Research Group, Universidade Iguaçu, Nova Iguaçu 26275-580, Brazil; (M.O.); (F.A.d.T.); (P.H.d.M.)
| | - Paulo Henrique de Moura
- Health and Aging Research Group, Universidade Iguaçu, Nova Iguaçu 26275-580, Brazil; (M.O.); (F.A.d.T.); (P.H.d.M.)
- Health Sciences Center, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
| | | | - Adalgiza Mafra Moreno
- Exercise Physiology Laboratory, Postgraduate Program in Physical Activity Sciences, Universidade Salgado de Oliveira, Niterói 24030-060, Brazil; (S.L.S.d.M.); (E.D.F.R.)
- Health and Aging Research Group, Universidade Iguaçu, Nova Iguaçu 26275-580, Brazil; (M.O.); (F.A.d.T.); (P.H.d.M.)
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Zhang J, Liang D, Xu L, Liu Y, Jiang S, Han X, Wu H, Jiang Y. Associations between novel anthropometric indices and the prevalence of gallstones among 6,848 adults: a cross-sectional study. Front Nutr 2024; 11:1428488. [PMID: 39104753 PMCID: PMC11298442 DOI: 10.3389/fnut.2024.1428488] [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: 05/06/2024] [Accepted: 07/09/2024] [Indexed: 08/07/2024] Open
Abstract
Background Traditional anthropometric measures, including body mass index (BMI), are insufficient for evaluating gallstone risk. This study investigated the association between novel anthropometric indices and gallstone risk among 6,848 participants from the National Health and Nutrition Examination Survey in the United States. Methods Measures calculated included weight (WT), BMI, waist circumference (WC), waist-to-height ratio (WtHR), conicity index (CI), A Body Shape Index (ABSI), Body Roundness Index (BRI), Abdominal Volume Index (AVI), and Weight-adjusted Waist Index (WWI). Logistic regression and smooth curve fitting assessed the relationships between these indices and gallstones, complemented by receiver operating characteristic (ROC) curve analysis to evaluate their discriminative power. Results The results indicated significant differences between study groups, with a positive and independent correlation identified between gallstones and all measures except ABSI. Specifically, per 1 SD increase in WC, WT, BMI, WtHR, and AVI was associated with a 57%, 59%, 52%, 53%, and 53% increased risk of gallstones, respectively. Dose-response analysis confirmed a positive correlation between these indices and gallstone risk. ROC analysis highlighted WtHR and BRI as having superior discriminative abilities (AUC = 0.6703). Further, among participants with a BMI < 30 kg/m2, elevated levels of WT, WtHR, CI, BRI, and WWI significantly increased the risk of gallstones (P < 0.001). Likewise, elevated BMI heightened the risk at low levels of WT, WC, WtHR, BRI, AVI, and CI (P < 0.001). Conclusion This study supports the positive association between various anthropometric indicators and gallstones, recommending that newer anthropometric indices be considered more extensively to enhance gallstone prevention and treatment strategies.
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Affiliation(s)
- Jie Zhang
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Depeng Liang
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Lidong Xu
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Yanhong Liu
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Shan Jiang
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Xiaomeng Han
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Huili Wu
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
| | - Yuanyuan Jiang
- Department of Gastroenterology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
- Henan Provincial Medicine Key Laboratory of Colorectal Cancer Diagnosis and Treatment, Zhengzhou, China
- Zhengzhou Key Laboratory of Colorectal Cancer Diagnosis, Treatment and Research, Zhengzhou, China
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Zhou Y, Chen Q, Abuduxukuer K, Wang C, Dong J, Wang Y, Shi W, Hou Y, Shi F, Luo J, Peng Q. Novel anthropometric indices are superior adiposity indexes to portend visual impairment in middle-aged and older Chinese population. BMJ Open Ophthalmol 2024; 9:e001664. [PMID: 39009464 PMCID: PMC11253769 DOI: 10.1136/bmjophth-2024-001664] [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: 02/02/2024] [Accepted: 05/06/2024] [Indexed: 07/17/2024] Open
Abstract
OBJECTIVE To investigate differential associations of traditional and novel adiposity indices with visual impairment (VI) in the middle-aged and older Chinese population. METHODS AND ANALYSIS Based on the China Health and Retirement Longitudinal Study, 7750 Chinese older adults aged over 45 were included at baseline 2011, and 4133 participants who accomplished all three interviews from 2011 to 2015 were adapted for longitudinal analyses. We enrolled six adiposity indices, including the body mass index (BMI), waist-to-height ratio (WHtR), weight-adjusted-waist index (WWI), a body shape index (ABSI), body roundness index (BRI) and conicity index (ConI). Visual status and other covariates included sociodemographic characteristics, medical supports and lifestyle-related factors. Cross-sectional correlations were assessed using univariate and multivariate logistic regression analyses. For longitudinal analysis, generalised linear models with generalised estimating equations were used to determine the association between time-varying adiposity and visual status. RESULTS Higher levels of WHtR/WWI/ABSI/BRI/ConI were significantly associated with an increased prevalence of VI, whereas a higher BMI was associated with a decreased prevalence of VI. Only WWI was significantly related to the prevalence of VI after adjustment for multiple confounders in both cross-sectional and longitudinal analyses (all p values <0.05). The multivariable-adjusted OR (95% CI) of VI associated with the highest (vs lowest) quintile of WWI was 1.900 (1.407 to 2.565). CONCLUSION WWI is a reliable alternative adiposity index that exhibits a dose-response association with the prevalence of VI in the Chinese population. The WWI-VI correlation may eliminate the obesity paradox in the ophthalmic epidemiological area and indicate the detrimental impact of changes in body composition on VI.
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Affiliation(s)
- Yifan Zhou
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Qing Chen
- School and Hospital of Stomatology, Cheeloo College of Medicine, Shandong University and Shandong Key Laboratory of Oral Tissue Regeneration and Shandong Engineering Laboratory for Dental Materials and Oral Tissue Regeneration
| | - KaiweiSa Abuduxukuer
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Chuchu Wang
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Jialong Dong
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yiting Wang
- Division of Gastroenterology and Hepatology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wenming Shi
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Yanan Hou
- Department of Endocrine and Metabolic Diseases, Shanghai First People’s Hospital (Shanghai General Hospital), School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Fei Shi
- School of Electronic and Information Engineering, Soochow University, Suzhou, China
| | - Jianfeng Luo
- NHC Key Laboratory of Health Technology Assessment, Fudan University, Shanghai, China
- Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Qing Peng
- Department of Ophthalmology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
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Wang S, Li D, Sun L. Weight-adjusted waist index is an independent predictor of all-cause and cause-specific mortality in patients with asthma. Heart Lung 2024; 68:166-174. [PMID: 39003963 DOI: 10.1016/j.hrtlng.2024.07.002] [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: 04/18/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/16/2024]
Abstract
BACKGROUND There is a close relationship between obesity and the occurrence of asthma.The weight-adjusted waist index (WWI) is a relatively novel anthropometric parameter that reflects obesity. OBJECTIVE We aimed to explore the association between WWI and mortality in the asthma population. METHODS We included adult with asthma from NHANES 1999-2018. WWI = Waist circumference (cm)/square root of body weight (kg). Current asthma was determined by the participant's responses in standardized questionnaires. All-cause, cardiovascular disease (CVD), cancer, and respiratory disease mortality information was obtained by prospectively matching these data to the National Death Index. Multivariate-adjusted Cox proportional hazards regression analyses, Kaplan Meier survival analyses, restricted cubic spline (RCS) analyses, stratified analyses, and sensitivity analyses were used to clarify these associations. RESULTS A total of 101,316 participants were included in the study, and 3223 were diagnosed with asthma.WWI was independently and positively associated with all-cause and all factor-specific mortality in asthma. In fully adjusted models, each unit increase in WWI was associated with 43 % (hazard ratio [HR] and 95 % confidence interval [CI] = 1.43 [1.25,1.64], p < 0.0001), 58 % (1.58 [1.25, 1.99], p < 0.001), 50 % (1.50 [1.19, 1.90], p < 0.001), and 79 % (1.79 [1.34, 2.39], p < 0.0001) increased all-cause, CVD, cancer, and respiratory disease mortality, respectively. RCS analyses showed largely linear associations between WWI and all mortality risks. Stratified analyses indicated that these associations were influenced by multiple factors, and that age was consistently the effect modifier across all associations. CONCLUSIONS WWI is an independent predictor of all-cause, CVD, cancer, and respiratory-related mortality in the adult asthma population. These findings highlight that WWI may have novel prognostic value as a simple and easily accessible obesity parameter in asthma patients.
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Affiliation(s)
- Shidong Wang
- Department of Respiratory Medicine, Shaoxing Second Hospital, Zhejiang, China
| | - Dai Li
- Department of Respiratory Medicine, Shaoxing Second Hospital, Zhejiang, China
| | - Liping Sun
- Department of Nutrition, Shaoxing Second Hospital, Zhejiang, China.
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Ren Q, Huang Y, Liu Q, Chu T, Li G, Wu Z. Association between triglyceride glucose-waist height ratio index and cardiovascular disease in middle-aged and older Chinese individuals: a nationwide cohort study. Cardiovasc Diabetol 2024; 23:247. [PMID: 38992634 PMCID: PMC11241990 DOI: 10.1186/s12933-024-02336-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2024] [Accepted: 06/25/2024] [Indexed: 07/13/2024] Open
Abstract
BACKGROUND The triglyceride-glucose (TyG) index and its combination with obesity indicators can predict cardiovascular diseases (CVD). However, there is limited research on the relationship between changes in the triglyceride glucose-waist height ratio (TyG-WHtR) and CVD. Our study aims to investigate the relationship between the change in the TyG-WHtR and the risk of CVD. METHODS Participants were from the China Health and Retirement Longitudinal Study (CHARLS). CVD was defined as self-reporting heart disease and stroke. Participants were divided into three groups based on changes in TyG-WHtR using K-means cluster analysis. Multivariable binary logistic regression analysis was used to examine the association between different groups (based on the change of TyG-WHtR) and CVD. A restricted cubic spline (RCS) regression model was used to explore the potential nonlinear association of the cumulative TyG-WHtR and CVD events. RESULTS During follow-up between 2015 and 2020, 623 (18.8%) of 3312 participants developed CVD. After adjusting for various potential confounders, compared to the participants with consistently low and stable TyG-WHtR, the risk of CVD was significantly higher in participants with moderate and increasing TyG-WHtR (OR 1.28, 95%CI 1.01-1.63) and participants with high TyG-WHtR with a slowly increasing trend (OR 1.58, 95%CI 1.16-2.15). Higher levels of cumulative TyG-WHtR were independently associated with a higher risk of CVD events (per SD, OR 1.27, 95%CI 1.12-1.43). CONCLUSIONS For middle-aged and older adults, changes in the TyG-WHtR are independently associated with the risk of CVD. Maintaining a favorable TyG index, effective weight management, and a reasonable waist circumference contribute to preventing CVD.
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Affiliation(s)
- Qiushi Ren
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China
| | - Yang Huang
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China
| | - Quan Liu
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China
| | - Tongxin Chu
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China
| | - Gang Li
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China
| | - Zhongkai Wu
- Department of Cardiac Surgery, First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan II Road, Guangzhou, 510080, China.
- NHC Key Laboratory of Assisted Circulation, Sun Yat-Sen University, Guangzhou, China.
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Chen D, Wang S, Yang W, Lu H, Ren Q. Obesity, abdominal obesity, metabolic obesity phenotypes, and Helicobacter pylori infection: results from NHANES 1999-2000. BMC Infect Dis 2024; 24:676. [PMID: 38971751 PMCID: PMC11227695 DOI: 10.1186/s12879-024-09409-7] [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: 09/16/2023] [Accepted: 05/15/2024] [Indexed: 07/08/2024] Open
Abstract
BACKGROUND Recent studies on the association between Helicobacter pylori (H. pylori) infection and obesity have reported conflicting results. Therefore, the purpose of our study was to investigate the association of obesity, abdominal obesity, and metabolic obesity phenotypes with H. pylori infection. METHODS A cross-sectional study of 1568 participants aged 20 to 85 was conducted using the National Health and Nutrition Examination Survey (NHANES) cycle 1999-2000. Logistic regression models were employed to evaluate the association of general obesity as defined by body mass index (BMI), abdominal obesity as defined by waist circumference (WC) and waist-height ratio (WHtR), and metabolic obesity phenotypes with H. pylori seropositivity. Subgroup analyses stratified by age were conducted to explore age-specific differences in this association. RESULTS After grouping individuals according to their WHtR, the prevalence rate of WHtR ≥ 0.5 in H. pylori-seropositive participants was significantly higher than that in H. pylori-seronegative participants (79.75 vs. 68.39, P < 0.001). The prevalence of H. pylori seropositivity in non-abdominal obesity and abdominal obesity defined by WHtR was 24.97% and 31.80%, respectively (P < 0.001). In the subgroup analysis, the adjusted association between abdominal obesity, as defined by the WHtR, and H. pylori seropositivity was significant in subjects aged < 50 years (OR = 2.23; 95% CI, 1.24-4.01; P = 0.01) but not in subjects aged ≥ 50 years (OR = 0.84; 95% CI, 0.35-1.99; P = 0.66). Subjects older than 50 years old had an OR (95% CI) for metabolically healthy obesity of 0.04 (0.01-0.35) compared with the control group. H. pylori seropositivity was consistently not associated with obesity as defined by BMI. CONCLUSIONS Abdominal obesity, as defined by the WHtR, was associated with H. pylori infection in subjects aged ≤ 50 years.
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Affiliation(s)
- Danni Chen
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Shiling Wang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Wei Yang
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, 730000, China
| | - Hong Lu
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China
- Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, 730000, China
- Gansu Province Clinical Research Center for Digestive Diseases, Lanzhou, China
| | - Qian Ren
- The First School of Clinical Medicine, Lanzhou University, Lanzhou, 730000, China.
- Department of Gastroenterology, the First Hospital of Lanzhou University, Lanzhou, 730000, China.
- Gansu Province Clinical Research Center for Digestive Diseases, Lanzhou, China.
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Zhao J, Cai X, Hu J, Song S, Zhu Q, Shen D, Yang W, Luo Q, Yao X, Zhang D, Hong J, Li N. J-Shaped Relationship Between Weight-Adjusted-Waist Index and Cardiovascular Disease Risk in Hypertensive Patients with Obstructive Sleep Apnea: A Cohort Study. Diabetes Metab Syndr Obes 2024; 17:2671-2681. [PMID: 38978818 PMCID: PMC11228610 DOI: 10.2147/dmso.s469376] [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: 05/22/2024] [Accepted: 06/22/2024] [Indexed: 07/10/2024] Open
Abstract
Background A newly introduced obesity-related index, the weight-adjusted-waist index (WWI), emerges as a promising predictor of cardiovascular disease (CVD). Given the known synergistic effects of hypertension and obstructive sleep apnea (OSA) on cardiovascular risk, we aimed to explore the relationship between the WWI and CVD risk specifically within this high-risk cohort. Methods A total of 2265 participants with hypertension and OSA were included in the study. Multivariate Cox regression analysis was used to calculate hazard ratios (HRs) and 95% confidence intervals (CIs) for CVD events. The restricted cubic spline (RCS) was used to further evaluate the nonlinear dose-response relationship. Results During a median follow-up period of 6.8 years, 324 participants experienced a CVD event. Multivariate Cox regression analysis revealed that compared to the reference group, the HRs for the second, third, and fourth groups were 1.12 (95% CI, 0.79-1.59), 1.35 (95% CI, 0.96-1.89), and 1.58 (95% CI, 1.13-2.22), respectively. Moreover, RCS analysis illustrated a clear J-shaped relationship between the WWI and CVD risk, particularly notable when WWI exceeded 11.5 cm/√kg, signifying a significant increase in CVD risk. Conclusion There was a J-shaped relationship between WWI and CVD in hypertensive patients with OSA, especially when the WWI was greater than 11.5 cm/√kg, the risk of CVD was significantly increased.
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Affiliation(s)
- Jianwen Zhao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Xintian Cai
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Junli Hu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Shuaiwei Song
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Qing Zhu
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Di Shen
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Wenbo Yang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Qin Luo
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Xiaoguang Yao
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Delian Zhang
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Jing Hong
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
| | - Nanfang Li
- Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Hypertension Institute, Urumqi, Xinjiang, 830001, People's Republic of China
- NHC Key Laboratory of Hypertension Clinical Research, Urumqi, Xinjiang 830001 People's Republic of China
- Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Urumqi, Xinjiang, 830001, People's Republic of China
- Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, Urumqi, Xinjiang, 830001, People's Republic of China
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Ruiz-Ballesteros AI, Betancourt-Núñez A, Meza-Meza MR, Rivera-Escoto M, Mora-García PE, Pesqueda-Cendejas K, Vizmanos B, Parra-Rojas I, Campos-López B, Montoya-Buelna M, Cerpa-Cruz S, De la Cruz-Mosso U. Relationship of serum and dietary vitamin D with high cardiometabolic risk in Mexican systemic lupus erythematosus patients: A cross-sectional study. Lupus 2024; 33:851-863. [PMID: 38709772 DOI: 10.1177/09612033241252060] [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] [Indexed: 05/08/2024]
Abstract
Objetive: Serum and dietary vitamin D could influence clinical disease activity and cardiometabolic outcomes in systemic lupus erythematosus (SLE). This study aimed to assess the relationship of serum and dietary vitamin D with cardiometabolic risk in Mexican SLE patients and healthy subjects (HS).Methods: 224 SLE patients and 201 HS were included in this cross-sectional study. Serum calcidiol was measured using a competitive enzyme-linked immunosorbent assay (ELISA). Vitamin D dietary intake was assessed by collecting three 24h food records. Dietary patterns (DPs) were identified using principal component analysis (PCA). Cardiometabolic status was analyzed through biochemical measurements and cardiometabolic indexes.Results: Calcidiol deficiency (<20 ng/mL) was associated with 1.66-fold higher risk of excess weight by body mass index (BMI) (≥25 kg/m2) (p = .02), 2.25-fold higher risk to low high-density lipoprotein-cholesterol (HDL-C) (<40 mg/dL) (p < .001), and 1.74-fold higher risk to high triglycerides (TG) ≥150 mg/dL (p = .02). Inadequate vitamin D dietary intake was associated with 1.92-fold higher risk of presenting non-healthy waist circumference (WC) (>80 cm) (p < .01), 2.05-fold higher risk of android waist to hip ratio (WHR ≥85) (p < .01), and 1.72-fold higher risk to excess weight (p = .02). Non-adherence to a DP rich in vitamin D food sources was associated with higher WC, WHR, triglycerides, and lower high-density lipoprotein-cholesterol (HDL-C); furthermore, in HS, non-adherence to the DP rich in vitamin D food sources provided 2.11-fold higher risk to calcidiol deficiency.In Cconclusion: A pattern of Calcidiol deficiency, inadequate vitamin D dietary intake, and non-adherence to a DP rich in vitamin D food sources was related to high cardiometabolic risk in SLE patients and HS.
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Affiliation(s)
- Adolfo I Ruiz-Ballesteros
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Alejandra Betancourt-Núñez
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Cuerpo Académico UDG-454, Alimentación y Nutrición en el proceso Salud Enfermedad, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Mónica R Meza-Meza
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Melissa Rivera-Escoto
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Paulina E Mora-García
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Karen Pesqueda-Cendejas
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Barbara Vizmanos
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Cuerpo Académico UDG-454, Alimentación y Nutrición en el proceso Salud Enfermedad, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
| | - Isela Parra-Rojas
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Laboratorio de Investigación en Obesidad y Diabetes, Facultad de Ciencias Químico-Biológicas, Universidad Autónoma de Guerrero, Chilpancingo de los Bravo, Mexico
| | - Bertha Campos-López
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Margarita Montoya-Buelna
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Laboratorio de Inmunología, Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
| | - Sergio Cerpa-Cruz
- Departamento de Reumatología, O.P.D. Hospital Civil de Guadalajara Fray Antonio Alcalde, Guadalajara, Mexico
| | - Ulises De la Cruz-Mosso
- Red de Inmunonutrición y Genómica Nutricional en las Enfermedades Autoinmunes, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Instituto de Neurociencias Traslacionales, Departamento de Neurociencias, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Mexico
- Cuerpo Académico UDG-454, Alimentación y Nutrición en el proceso Salud Enfermedad, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, México
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Aguas-Ayesa M, Yárnoz-Esquiroz P, Perdomo CM, Olazarán L, Vegas-Aguilar IM, García-Almeida JM, Gómez-Ambrosi J, Frühbeck G. Revisiting the beyond BMI paradigm in excess weight diagnosis and management: A call to action. Eur J Clin Invest 2024; 54:e14218. [PMID: 38629697 DOI: 10.1111/eci.14218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/02/2024] [Accepted: 04/03/2024] [Indexed: 06/06/2024]
Abstract
Adolphe Quételet, a 19th-century Belgian sociologist and statistician, pioneered the incorporation of statistics into social sciences. He initiated the development of anthropometry since he was interested in identifying the proportions of the 'ideal man'. He devised a ratio between weight and height, originally termed the Quételet Index, and today widely known and used as the body mass index or BMI. In 1835, he demonstrated that a normal curve accommodates the distribution of human traits articulating his reasoning on human variance around the average. Quételet's long-lasting legacy of the establishment of a simple measure to classify people's weight relative to an ideal for their height endures today with minor variations having dramatically influenced public health agendas. While being very useful, the limitations of the BMI are well known. Thus, revisiting the beyond BMI paradigm is a necessity in the era of precision medicine with morphofunctional assessment representing the way forward via incorporation of body composition and functionality appraisal. While healthcare systems were originally designed to address acute illnesses, today's demands require a radical rethinking together with an original reappraisal of our diagnosis and treatment approaches from a multidimensional perspective. Embracing new methodologies is the way forward to advance the field, gain a closer look at the underlying pathophysiology of excess weight, keep the spotlight on improving diagnostic performance and demonstrate its clinical validity. In order to provide every patient with the most accurate diagnosis together with the most appropriate management, a high degree of standardization and personalization is needed.
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Affiliation(s)
- Maite Aguas-Ayesa
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
| | - Patricia Yárnoz-Esquiroz
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Carolina M Perdomo
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
| | - Laura Olazarán
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Isabel M Vegas-Aguilar
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain
- Institute of Biomedical Research in Malaga (IBIMA)-Bionand Platform, Málaga, Spain
| | - José Manuel García-Almeida
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Málaga, Spain
- Institute of Biomedical Research in Malaga (IBIMA)-Bionand Platform, Málaga, Spain
- Department of Endocrinology and Nutrition, Quironsalud Málaga Hospital, Málaga, Spain
- Department of Medicine and Dermatology, Faculty of Medicine, University of Malaga, Málaga, Spain
| | - Javier Gómez-Ambrosi
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Metabolic Research Laboratory, Clínica Universidad de Navarra, Pamplona, Spain
| | - Gema Frühbeck
- Department of Endocrinology & Nutrition, Clínica Universidad de Navarra, University of Navarra, Pamplona, Spain
- CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), ISCIII, Pamplona, Spain
- Obesity and Adipobiology Group, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- Metabolic Research Laboratory, Clínica Universidad de Navarra, Pamplona, Spain
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Porter B. On the utility of using the All of Us Research Program as a resource to study military service members and veterans. J Am Med Inform Assoc 2024:ocae153. [PMID: 38894629 DOI: 10.1093/jamia/ocae153] [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: 04/06/2024] [Revised: 05/16/2024] [Accepted: 06/06/2024] [Indexed: 06/21/2024] Open
Abstract
OBJECTIVES To illustrate the utility of the All of Us Research Program for studying military and veteran health. MATERIALS AND METHODS Results were derived from the All of Us Researcher Workbench Controlled Tier v7. Specific variables examined were family history of post-traumatic stress disorder (PTSD), medical encounters, and body mass index/body size. RESULTS There are 37 363 military and veteran participants enrolled in the All of Us Research Program. The population is older (M = 63.3 years), White (71.3%), and male (83.2%), consistent with military and veteran populations. Participants reported a high prevalence of PTSD (13.4%), obesity (40.2%), and abdominal obesity (77.1%). DISCUSSION AND CONCLUSION The breadth and depth of health data from service members and veterans enrolled in the All of Us Research Program allow researchers to address pressing health questions in these populations. Future enrollment and data releases will make this an increasingly powerful and useful study for understanding military and veteran health.
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Affiliation(s)
- Ben Porter
- Department of Psychology, Mississippi State University, Mississippi State, MS 39762, United States
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Terawatpothong A, Sessirisombat C, Banhiran W, Hotokezaka H, Yoshida N, Sirisoontorn I. Relationship between Cephalometric and Ultrasonic Airway Parameters in Adults with High Risk of Obstructive Sleep Apnea. J Clin Med 2024; 13:3540. [PMID: 38930069 PMCID: PMC11204907 DOI: 10.3390/jcm13123540] [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: 05/16/2024] [Revised: 06/11/2024] [Accepted: 06/11/2024] [Indexed: 06/28/2024] Open
Abstract
Background/Objectives: Polysomnography and cephalometry have been used for studying obstructive sleep apnea (OSA) etiology. The association between craniofacial skeleton and OSA severity remains controversial. To study OSA's etiology, cephalometry, fiberoptic pharyngoscopy, polysomnography, and sleep endoscopy have been used; however, airway obstructions cannot be located. Recent research suggested ultrasonography for OSA screening and upper airway obstruction localization. Thus, this study aims to investigate the relationship between specific craniofacial cephalometric and ultrasonic airway parameters in adults at high risk of OSA. Methods: To assess craniofacial structure, lateral cephalograms were taken from thirty-three adults over 18 with a STOP-Bang questionnaire score of three or higher and a waist-to-height ratio (WHtR) of 0.5 or higher. Airway parameters were assessed through submental ultrasound. Results: NSBA correlated with tongue base airspace width, while MP-H correlated with oropharynx, tongue base, and epiglottis airspace width. SNA, SNB, and NSBA correlated with tongue width at the oropharynx. At tongue base, ANB and MP-H correlated with tongue width. SNB and NSBA were associated with deep tissue thickness at the oropharynx, while MP-H correlated with superficial tissue thickness at velum and oropharynx. Conclusions: Cephalometric parameters (SNA, SNB, ANB, NSBA, and MP-H) were correlated with ultrasonic parameters in the velum, oropharynx, tongue base, and epiglottis.
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Affiliation(s)
- Anutta Terawatpothong
- Department of Clinical Dentistry, Walailak University International College of Dentistry (WUICD), 87 Ranong 2 Road, Dusit, Bangkok 10300, Thailand
| | - Chidchanok Sessirisombat
- Department of Clinical Dentistry, Walailak University International College of Dentistry (WUICD), 87 Ranong 2 Road, Dusit, Bangkok 10300, Thailand
| | - Wish Banhiran
- Department of Otorhinolaryngology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand
| | - Hitoshi Hotokezaka
- Department of Orthodontics and Dentofacial Orthopedics, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 852-8588, Japan
| | - Noriaki Yoshida
- Department of Orthodontics and Dentofacial Orthopedics, Nagasaki University Graduate School of Biomedical Sciences, 1-7-1 Sakamoto, Nagasaki 852-8588, Japan
| | - Irin Sirisoontorn
- Department of Clinical Dentistry, Walailak University International College of Dentistry (WUICD), 87 Ranong 2 Road, Dusit, Bangkok 10300, Thailand
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Sun L. Associations between waist-to-height ratio and abdominal aortic calcification: A cross-sectional study. Medicine (Baltimore) 2024; 103:e38608. [PMID: 38875360 PMCID: PMC11175898 DOI: 10.1097/md.0000000000038608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 05/22/2024] [Accepted: 05/24/2024] [Indexed: 06/16/2024] Open
Abstract
Waist-to-height ratio (WtHR) is a validated biomarker of central obesity that appears to be preferable to other body composition measurements in the evaluation of cardiovascular disease. The goal of this research was to explore the connection between WtHR and abdominal aortic calcification (AAC) among adults. On the basis of data from the 2013 to 2014 National Health and Nutrition Examination Survey, multivariate logistic regression, sensitivity analysis, as well as smoothed curve fitting were used to evaluate the connection between WtHR and AAC. Subgroup analyses along with interaction tests were done to see if this link was consistent across populations. Among 3079 participants aged >40 years, there was a negative association between WtHR and ACC. Each 1-unit emergence of WtHR was related to a 2% reduction in the probability of severe AAC in the entirely adjusted model (odds ratio = 0.02, 95% confidence interval: [0.00-0.12]). Participants in the highest WtHR quartile were 39% less likely to acquire severe AAC compared with those in the lowest quartile. (odds ratio = 0.61, 95% confidence interval: [0.37-1.00]). This negative association was more pronounced in the diabetes subgroup. We discovered a reversed U-shaped association between WtHR as well as AAC score utilizing a 2-stage linear regression model, with an intersection point of 0.56. WtHR was negatively associated with AAC among US adults.
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Affiliation(s)
- Lijie Sun
- Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing, China
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Zhang Y, Zhang P, Yin D. Association between a body shape index and cognitive impairment among us older adults from a cross-sectional survey of the NHANES 2011-2014. Lipids Health Dis 2024; 23:169. [PMID: 38840158 PMCID: PMC11151546 DOI: 10.1186/s12944-024-02165-2] [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: 04/12/2024] [Accepted: 05/26/2024] [Indexed: 06/07/2024] Open
Abstract
PURPOSE This study aimed to assess the relationship between A Body Shape Index (ABSI) and cognitive impairment among older adults in the United States. METHODS This cross-sectional study analyzed cognitive function in 2,752 individuals aged 60 and older using data from the 2011-2014 National Health and Nutrition Examination Survey (NHANES). Cognitive assessments were conducted using the Immediate Recall Test (IRT), Delayed Recall Test (DRT), Animal Fluency Test (AFT), and Digit Symbol Substitution Test (DSST). A Body Shape Index (ABSI) was calculated from waist circumference (WC), weight, and height. The relationship between ABSI and cognitive outcomes was examined through multifactorial linear regression, smooth curve fitting, and subgroup and interaction analyses. RESULTS With complete data, 2752 persons 60 and older participated in the study. After adjusting for covariables, these results showed statistically significant negative relationships between ABSI, IRT, and DSST scores. The negative correlation between DSST and ABSI is more substantial in males than females. There is less of a negative link between ABSI, AFT, and DSST among drinkers who consume 12 or more drinks annually compared to those who consume less. Furthermore, compared to individuals without high blood pressure(HBP), those who suffered HBP showed a more significant negative connection between ABSI and AFT. CONCLUSION Lower cognitive function was linked to higher ABSI.
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Affiliation(s)
- Yanwei Zhang
- Department of Anesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Zhang
- Department of Anesthesiology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dekun Yin
- Department of Anesthesiology, Funing People's Hospital of Jiangsu, Yancheng, Jiangsu province, China.
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Briggs Early K, Valencia SI, Stendell‐Hollis N, Klyve D, Gee DL. Hypertension Prevalence and Related Risk Factors Among Mexican American Adults Are Increasing: National Health and Nutrition Examination Survey 1999 to 2018. J Am Heart Assoc 2024; 13:e030126. [PMID: 38818945 PMCID: PMC11255634 DOI: 10.1161/jaha.123.030126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/15/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND Acculturation affects hypertension prevalence among Hispanic people, but there have been no recent analyses specifically focused on Mexican American (MA) people. We sought to determine age-adjusted hypertension prevalence, abdominal obesity, and acculturation trends among MA adults and non-Hispanic White adults. METHODS AND RESULTS Data from the NHANES (National Health and Nutrition Examination Survey) were analyzed in 2-year increments to observe trends in hypertension and risk factors (age, sex, body mass index, smoking status, abdominal obesity, waist-to-height ratio (WHtR), education, and income). Acculturation was based on three commonly used measures. The sample included 30 920 adults. Age-adjusted hypertension prevalence is higher in MA adults (52.7%) than White adults (48.3%). Hypertension risk factors-age, obesity prevalence, WHtR, acculturation-all significantly increased among MA adults, while smoking declined. Higher acculturation scores increased hypertension likelihood (odds ratio [OR], 1.44 [95% CI, 0.91-1.97]) for MA adults compared with those with lower acculturation scores. White adults with elevated WHtR >0.5 had a 40% higher risk of hypertension than those with WHtR <0.5, but among MA adults, elevated WHtR did not increase risk for hypertension. There was a significant increase in hypertension prevalence among MA adults from 2003 to 2018 at an average biennial rate of 2.23%. There was no change in hypertension prevalence among White adults from 1999 to 2018. CONCLUSIONS Over 20 years of NHANES, more highly acculturated MA adults were at greater risk for hypertension, despite declines in smoking and controlling for age, sex, obesity status, education, and income. Finding ways to promote more traditional lifestyle and eating habits for MA adults could be a beneficial approach to reducing hypertension risk factors in this population.
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Affiliation(s)
- Kathaleen Briggs Early
- Department of Biomedical SciencesPacific Northwest University of Health SciencesYakimaWAUSA
| | - Sandra I. Valencia
- Department of Health SciencesCentral Washington UniversityEllensburgWAUSA
| | | | - Dominic Klyve
- Department of MathematicsCentral Washington UniversityEllensburgWAUSA
| | - David L. Gee
- Department of Health SciencesCentral Washington UniversityEllensburgWAUSA
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Bagherikholenjani F, Shahidi S, Khosravi A, Mansouri A, Ashoorion V, Sarrafzadegan N. Update of the clinical guideline for hypertension diagnosis and treatment in Iran. Clin Hypertens 2024; 30:13. [PMID: 38822442 PMCID: PMC11143619 DOI: 10.1186/s40885-024-00269-6] [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: 02/03/2024] [Accepted: 03/12/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUND This article introduces the updated version of the Iranian guideline for the diagnosis and treatment of hypertension in adults. The initial version of the national guideline was developed in 2011 and updated in 2014. Among the reasons necessitating the update of this guideline were the passage of time, the incompleteness of the scopes, the limitation of the target group, and more important is the request of the ministry of health in Iran. METHOD The members of the guideline updating group, after reviewing the original version and the new evidence, prepared 10 clinical questions regarding hypertension, and based on the evidence found from the latest scientific documents, provided recommendations or suggestions to answer these questions. RESULT According to the updated guideline, the threshold for office prehypertension diagnosis should be considered the systolic blood pressure (SBP) of 130-139 mmHg and/or the diastolic blood pressure (DBP) of 80-89 mmHg, and in adults under 75 years of age without comorbidities, the threshold for office hypertension diagnosis should be SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg. The goal of treatment in adults who lack comorbidities and risk factors is SBP < 140 mmHg and DBP < 90 mmHg. The first-line treatment recommended in people with prehypertension is lifestyle modification, while for those with hypertension, pharmacotherapy along with lifestyle modification. The threshold to start drug therapy is determined at SBP ≥ 140 mmHg and or DBP ≥ 90 mmHg, and the first-line treatment is considered a drug or a combined pill of antihypertensive drugs, including ACEIs, ARBs, thiazide and thiazide-like agents, or CCBs. At the beginning of the pharmacotherapy, the Guideline Updating Group members suggested studying serum electrolytes, creatinine, lipid profile, fasting sugar, urinalysis, and an electrocardiogram. Regarding the visit intervals, monthly visits are suggested at the beginning of the treatment or in case of any change in the type or dosage of the drug until achieving the treatment goal, followed by every 3-to-6-month visits. Moreover, to reduce further complications, it was suggested that healthcare unit employees use telehealth strategies. CONCLUSIONS In this guideline, specific recommendations and suggestions have been presented for adults and subgroups like older people or those with cardiovascular disease, diabetes mellitus, chronic kidney disease, and COVID-19.
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Affiliation(s)
- Fahimeh Bagherikholenjani
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Shahla Shahidi
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Khosravi
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
- Iranian Network of Cardiovascular Research, Tehran, Iran
| | - Asieh Mansouri
- Hypertension Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | | | - Nizal Sarrafzadegan
- Isfahan Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
- Iranian Network of Cardiovascular Research, Tehran, Iran.
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Zhang Y, Wu X, Liu G, Feng X, Zhang W, Jiang H, Zhang X. Association between cardiometabolic index and erectile dysfunction among US adults: a cross-sectional analysis of the National Health and Nutrition Examination Survey 2001-2004. Int J Impot Res 2024; 36:422-429. [PMID: 38123844 DOI: 10.1038/s41443-023-00801-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 11/14/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023]
Abstract
The aim of this study was to assess the association between a new metabolic index, the cardiometabolic index (CMI) and erectile dysfunction (ED). The data for this study relied on the National Health and Nutrition Examination Survey (NHANES), a cross-sectional database, between 2001 and 2004. The CMI was calculated as the following formula: Triglyceride (TG) (mmol/L)/ High density lipid-cholesterol (HDL-C) (mmol/L) ×waist-height ratio (WHtR). The multivariate logistic regression analyses were conducted to assess the association between CMI and ED, supplemented by subgroup analysis and dose-response curves. Finally, a total of 1367 adult male participants were identified, and the mean CMI was 0.83 ± 0.02. Multivariate logistic regression analysis showed that in model 2 controlling for all potential confounders, CMI was significantly associated with ED (OR = 1.49, 95% CI: 1.09, 2.04) (p = 0.017). Subsequently, we convert the CMI from a continuous variable to a categorical variable (Tertiles). The results showed that male participants in CMI Tertile 3 group had a higher risk of ED than those in Tertile 1 group in model 2 (OR = 2.07, 95% CI: 1.12, 3.83, P = 0.024). The subgroup analysis of model 2 demonstrated that CMI was significantly associate with ED in participants aged ≥50 y (OR = 2.31, 95% CI: 1.35, 3.95, P = 0.005), body mass index (BMI) > 30 kg/m2 (OR = 1.78, 95% CI: 1.10, 2.90, P = 0.023), with hypertension (OR = 1.89, 95% CI: 1.63, 3.45, P = 0.020), with diabetes mellitus (OR = 1.67, 95% CI: 1.13, 2.47, P = 0.015), with cardiovascular disease (CVD) (OR = 1.54, 95% CI: 1.12, 2.10, P = 0.011) and smoking (OR = 2.07, 95% CI: 1.26, 3.39, P = 0.007). This study demonstrates a strong association between CMI and ED and an increased risk of ED with higher CMI levels. More prospective studies with large samples and good designs are needed to validate our results in the future.
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Affiliation(s)
- Yuyang Zhang
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Xu Wu
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Guodong Liu
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Xingliang Feng
- Department of Urology, The Third Affiliated Hospital of Soochow University, Changzhou, Jiangsu, China.
- Department of Urology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China.
| | - Wei Zhang
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, China
| | - Hui Jiang
- Department of Urology, Peking University First Hospital Institute of Urology, Peking University Andrology Center, Beijing, China
| | - Xiansheng Zhang
- Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
- Institute of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
- Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, Anhui, China.
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Kim MY, An S, Shim YS, Lee HS, Hwang JS. Waist-height ratio and body mass index as indicators of obesity and cardiometabolic risk in Korean children and adolescents. Ann Pediatr Endocrinol Metab 2024; 29:182-190. [PMID: 38956754 PMCID: PMC11220395 DOI: 10.6065/apem.2346090.045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/19/2024] [Accepted: 01/26/2024] [Indexed: 07/04/2024] Open
Abstract
PURPOSE We assessed the clinical relevance of waist-height ratio (WHtR) as an indicator of cardiometabolic risk and body fat mass measured by dual-energy x-ray absorptiometry (DXA) among Korean children and adolescents. METHODS Data from 1,661 children and adolescents aged 10-18 years who participated in the Korea National Health and Nutrition Examination Survey were analyzed. Unadjusted Pearson correlation, age- and sex-adjusted Pearson correlation, and multiple linear regression analyses were performed to investigate the relationships between WHtR standard deviation score (SDS) and cardiometabolic risk factors, as well as DXA-assessed parameters. RESULTS WHtR SDS was correlated with cardiometabolic risk factors, including systolic blood pressure, glucose, total cholesterol, high-density lipoprotein cholesterol, triglyceride, and low-density lipoprotein cholesterol, as well as DXA-assessed parameters such as lean mass SDS, fat mass SDS, and fat mass percentage SDS in both whole body and trunk using an adjusted Pearson correlation analyses among all participants (p<0.001). WHtR SDS was strongly correlated with whole-body fat mass and trunk fat mass (r=0.792, p<0.001 and r=0.801, p<0.001, respectively) whereas WHtR SDS had a low correlation coefficient with whole-body lean mass and trunk lean mass SDS (r=0.512, p<0.001 and r=0.487, p<0.001, respectively). In multiple linear regression analyses, WHtR SDS was significantly associated with whole-body and trunk fat mass after adjustment for confounders. CONCLUSION Cardiometabolic risk factors and body fat mass assessed by DXA in Korean children and adolescents were highly correlated with WHtR. Additionally, WHtR has an advantage in distinguishing fat-free mass. WHtR can be a useful and convenient clinical indicator of cardiometabolic risk factors.
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Affiliation(s)
- Min Yeong Kim
- Dongtan St. Mary's Children's Hospital, Hwaseong, Korea
| | - Sejin An
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Young Suk Shim
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Hae Sang Lee
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Jin Soon Hwang
- Department of Pediatrics, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
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Min Y, Wei X, Wei Z, Song G, Zhao X, Lei Y. Prognostic effect of triglyceride glucose-related parameters on all-cause and cardiovascular mortality in the United States adults with metabolic dysfunction-associated steatotic liver disease. Cardiovasc Diabetol 2024; 23:188. [PMID: 38824550 PMCID: PMC11144336 DOI: 10.1186/s12933-024-02287-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024] Open
Abstract
BACKGROUNDS Insulin resistance (IR) plays a vital role in the pathogenesis of the metabolic dysfunction-associated steatotic liver disease (MASLD). However, it remains unclear whether triglyceride-glucose (TyG) related parameters, which serve as useful biomarkers to assess IR, have prognostic effects on mortality outcomes of MASLD. METHODS Participants in the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018 years were included. TyG and its related parameters [TyG-waist circumference (TyG-WC) and TyG-waist to height ratio (TyG-WHtR)] were calculated. Kaplan-Meier curves, Cox regression analysis, and restricted cubic splines (RCS) were conducted to evaluate the association between TyG-related indices with the all-cause and cardiovascular mortality of adults with MASLD. The concordance index (C-index) was used to evaluate the prediction accuracy of TyG-related indices. RESULTS A total of 8208 adults (4209 men and 3999 women, median age 49.00 years) with MASLD were included in this study. Multivariate-adjusted Cox regression analysis revealed that high quartile levels of TyG-related indices were significantly associated with the all-cause mortality of participants with MASLD [TyGadjusted hazard ratio (aHR) = 1.25, 95% confidence interval (CI) 1.05-1.50, P = 0.014; TyG-WCaHR for all-cause mortality = 1.28, 95% CI 1.07-1.52, P = 0.006; TyG-WHtRaHR for all-cause mortality = 1.50, 95% CI 1.25-1.80, P < 0.001; TyG-WCaHR for cardiovascular mortality = 1.81, 95% CI 1.28-2.55, P = 0.001; TyG-WHtRaHR for cardiovascular mortality = 2.22, 95% CI 1.55-3.17, P < 0.001]. The C-index of TyG-related indices for predicting all-cause mortality was 0.563 for the TyG index, 0.579 for the TyG-WC index, and 0.585 for the TyG-WHtR index, respectively. Regarding cardiovascular mortality, the C-index was 0.561 for the TyG index, 0.607 for the TyG-WC index, and 0.615 for the TyG-WHtR index, respectively. Nonlinear trends were observed between TyG and TyG-WC indices with all-cause mortality of MASLD (P < 0.001 and = 0.012, respectively). A non-linear relationship was observed between the TyG index and cardiovascular mortality of MASLD (P = 0.025). Subgroup analysis suggested that adults aged < 65 years old and those without comorbidities were more sensitive to the mortality prediction of TyG-related indices. CONCLUSION Findings of this study highlight the predictive value of TyG-related indices, especially the TyG-WHtR index, in the mortality outcomes of adults with MASLD. TyG-related indices would be surrogate biomarkers for the clinical management of MASLD.
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Affiliation(s)
- Yu Min
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xiaoyuan Wei
- Department of Head and Neck Oncology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Zhigong Wei
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Ge Song
- Department of Biotherapy, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China
| | - Xin Zhao
- Department of Urology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, People's Republic of China.
| | - Yi Lei
- Department of Endocrinology and Metabolism, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
- Sichuan Clinical Research Center for Nephropathy, Luzhou, 646000, Sichuan, People's Republic of China.
- Metabolic Vascular Disease Key Laboratory of Sichuan Province, Luzhou, 646000, Sichuan, People's Republic of China.
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48
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Chan V, Lo K. People with normal waist circumference but with elevated waist-to-height ratio: an overlooked population with increased cardiometabolic risk? Am J Clin Nutr 2024; 119:1379-1380. [PMID: 38839192 DOI: 10.1016/j.ajcnut.2024.04.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 06/07/2024] Open
Affiliation(s)
- Vicky Chan
- Department of Food Science and Nutrition, the Hong Kong Polytechnic University, Hong Kong
| | - Kenneth Lo
- Department of Food Science and Nutrition, the Hong Kong Polytechnic University, Hong Kong; Research Institute for Smart Ageing, the Hong Kong Polytechnic University, Hong Kong.
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49
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Hickson M, Papoutsakis C, Madden AM, Smith MA, Whelan K. Nature of the evidence base and approaches to guide nutrition interventions for individuals: a position paper from the Academy of Nutrition Sciences. Br J Nutr 2024; 131:1754-1773. [PMID: 38305040 DOI: 10.1017/s0007114524000291] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
This Position Paper from the Academy of Nutrition Sciences is the third in a series which describe the nature of the scientific evidence and frameworks that underpin nutrition recommendations for health. This paper focuses on evidence which guides the application of dietary recommendations for individuals. In some situations, modified nutrient intake becomes essential to prevent deficiency, optimise development and health, or manage symptoms and disease progression. Disease and its treatment can also affect taste, appetite and ability to access and prepare foods, with associated financial impacts. Therefore, the practice of nutrition and dietetics must integrate and apply the sciences of food, nutrition, biology, physiology, behaviour, management, communication and society to achieve and maintain human health. Thus, there is huge complexity in delivering evidence-based nutrition interventions to individuals. This paper examines available frameworks for appraising the quality and certainty of nutrition research evidence, the development nutrition practice guidelines to support evidence implementation in practice and the influence of other sources of nutrition information and misinformation. The paper also considers major challenges in applying research evidence to an individual and suggests consensus recommendations to begin to address these challenges in the future. Our recommendations target three groups; those who deliver nutrition interventions to individuals, those funding, commissioning or undertaking research aimed at delivering evidence-based nutrition practice, and those disseminating nutritional information to individuals.
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Affiliation(s)
- Mary Hickson
- University of Plymouth, Plymouth, PL4 6ABDevon, UK
- British Dietetic Association, Birmingham, UK
| | - Constantina Papoutsakis
- Academy of Nutrition and Dietetics, Nutrition and Dietetics Data Science Centre, Research, International, and Scientific Affairs (RISA), Chicago, USA
| | | | | | - Kevin Whelan
- King's College London, Department of Nutritional Sciences, London, UK
- Academy of Nutrition Sciences, London, UK
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50
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Bullo V, Pavan D, Gobbo S, Bortoletto A, Cugusi L, Di Blasio A, Pippi R, Cruz-Diaz D, Bocalini DS, Gasperetti A, Vettor R, Ermolao A, Bergamin M. From surgery to functional capacity: muscle strength modifications in women post sleeve gastrectomy. BMC Sports Sci Med Rehabil 2024; 16:118. [PMID: 38802963 PMCID: PMC11131216 DOI: 10.1186/s13102-024-00910-9] [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: 02/08/2023] [Accepted: 05/20/2024] [Indexed: 05/29/2024]
Abstract
BACKGROUND Severe obesity is characterized by excessive accumulation of fat generating a general health decline. Multidisciplinary treatment of obesity leads to significant weight loss in a few patients; therefore, many incur bariatric surgery. The main purpose of the study is to evaluate changes in functional capacity of people with obesity undergoing bariatric surgery and, in parallel, to correlate pre-surgery functional capacity with weight loss to improve exercise prescription during pre-operatory stage. METHODS sixty women with diagnosed obesity were included. Maximal oxygen consumption, upper and lower limb strength and level of physical activity were recorded 1 month before and 6 months after sleeve gastrectomy. RESULTS significant reduction on body weight (-30.1 kg) and Body Mass Index (-11.4 kg/m2) were highlighted after surgery. Absolute grip strength decreased significantly (-1.1 kg), while body weight normalized grip and lower limb strength increased significantly. The level of physical activity increased especially in leisure time (+ 593 METs/week) and active transport (+ 189.3 METs/week). Pre-surgery BMI and age predicted the amount of weight loss after surgery. CONCLUSIONS Sleeve gastrectomy induces a reduction of muscle strength despite the increase of time spent in physical activity. Further research is necessary to integrate these results with data on body composition, and objective evaluation of physical activity level to define useful information for exercise prescription in terms of surgery pre-habilitation. TRIAL REGISTRATION Padova University Hospital Board (protocol n. 2027 dated January 12, 2017).
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Affiliation(s)
- Valentina Bullo
- Department of Medicine, University of Padova, Via Giustiniani, 2, Padova, 35128, Italy
| | - Davide Pavan
- GymHub S.r.l, Spin-off of the University of Padova, Via O. Galante 67/a, Padova, 35129, Italy
| | - Stefano Gobbo
- Department of Medicine, University of Padova, Via Giustiniani, 2, Padova, 35128, Italy.
| | - Alessandro Bortoletto
- Department of Medicine, University of Padova, Via Giustiniani, 2, Padova, 35128, Italy
| | - Lucia Cugusi
- Department of Biomedical Sciences, University of Sassari, Viale San Pietro 43/B, Sassari, 07100, Italy
| | - Andrea Di Blasio
- Department of Medicine and Sciences of Aging, G. d'Annunzio University of Chieti-Pescara, Via dei Vestini 31, Chieti, 66100, Italy
| | - Roberto Pippi
- Department of Medicine and Surgery, Healthy Lifestyle Institute, C.U.R.I.A.Mo. (Centro Universitario Ricerca Interdipartimentale Attività Motoria), University of Perugia, Via G. Bambagioni, 19, Perugia, 06126, Italy
| | - David Cruz-Diaz
- Department of Health Sciences, Faculty of Health Sciences, University of Jaén, Jean, Spain
| | - Danilo Sales Bocalini
- Laboratorio de Fisiologia e Bioquimica Experimental, Centro de Educacao Fisica e Deportos, Universida-Federal do Espirito Santo (UFES), Av. Fernando Ferrari, 514, Goiabeiras, Vitória, Espírito Santo, 29075-910, Brazil
| | - Andrea Gasperetti
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, Via Giustiniani 2, Padova, 35128, Italy
| | - Roberto Vettor
- Department of Medicine, Azienda Ospedaliera Padova, University of Padova, Clinica Medica 3, Padova, 35122, Italy
| | - Andrea Ermolao
- Sports and Exercise Medicine Division, Department of Medicine, University of Padova, Via Giustiniani 2, Padova, 35128, Italy
| | - Marco Bergamin
- Department of Medicine, University of Padova, Via Giustiniani, 2, Padova, 35128, Italy
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