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Zhang X, Wang Y, Yang X, Li Y, Gui J, Mei Y, Liu H, Guo LL, Li J, Lei Y, Li X, Sun L, Yang L, Yuan T, Wang C, Zhang D, Li J, Liu M, Hua Y, Zhang L. Obesity and lipid indices as predictors of depressive symptoms in middle-aged and elderly Chinese: insights from a nationwide cohort study. BMC Psychiatry 2024; 24:351. [PMID: 38730360 PMCID: PMC11088055 DOI: 10.1186/s12888-024-05806-z] [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: 01/30/2023] [Accepted: 05/02/2024] [Indexed: 05/12/2024] Open
Abstract
BACKGROUND Depressive symptoms are one of the most common psychiatric disorders, with a high lifetime prevalence rate among middle-aged and elderly Chinese. Obesity may be one of the risk factors for depressive symptoms, but there is currently no consensus on this view. Therefore, we investigate the relationship and predictive ability of 13 obesity- and lipid-related indices with depressive symptoms among middle-aged and elderly Chinese. METHODS The data were obtained from The China Health and Retirement Longitudinal Study (CHARLS). Our analysis includes individuals who did not have depressive symptoms at the baseline of the CHARLS Wave 2011 study and were successfully follow-up in 2013 and 2015. Finally, 3790 participants were included in the short-term (from 2011 to 2013), and 3660 participants were included in the long-term (from 2011 to 2015). The average age of participants in short-term and long-term was 58.47 years and 57.88 years. The anthropometric indicators used in this analysis included non-invasive [e.g. waist circumference (WC), body mass index (BMI), and a body mass index (ABSI)], and invasive anthropometric indicators [e.g. lipid accumulation product (LAP), triglyceride glucose index (TyG index), and its-related indices (e.g. TyG-BMI, and TyG-WC)]. Receiver operating characteristic (ROC) analysis was used to examine the predictive ability of various indicators for depressive symptoms. The association of depressive symptoms with various indicators was calculated using binary logistic regression. RESULTS The overall incidence of depressive symptoms was 20.79% in the short-term and 27.43% in the long-term. In males, WC [AUC = 0.452], LAP [AUC = 0.450], and TyG-WC [AUC = 0.451] were weak predictors of depressive symptoms during the short-term (P < 0.05). In females, BMI [AUC = 0.468], LAP [AUC = 0.468], and TyG index [AUC = 0.466] were weak predictors of depressive symptoms during the long-term (P < 0.05). However, ABSI cannot predict depressive symptoms in males and females during both periods (P > 0.05). CONCLUSION The research indicates that in the middle-aged and elderly Chinese, most obesity- and lipid-related indices have statistical significance in predicting depressive symptoms, but the accuracy of these indicators in prediction is relatively low and may not be practical predictors.
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Affiliation(s)
- Xiaoyun Zhang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Wang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xue Yang
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yuqing Li
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jiaofeng Gui
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Yujin Mei
- Department of Graduate School, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Haiyang Liu
- Student Health Center, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lei-Lei Guo
- Department of Surgical Nursing, School of Nursing, Jinzhou Medical University, No.40, Section 3, Songpo Road, Linghe District, Jinzhou City, Liaoning Province, People's Republic of China
| | - Jinlong Li
- Department of Occupational and Environmental Health, Key Laboratory of Occupational Health and Safety for Coal Industry in Hebei Province, School of Public Health, North China University of Science and Technology, Tangshan, Hebei Province, People's Republic of China
| | - Yunxiao Lei
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Xiaoping Li
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lu Sun
- Department of Emergency and Critical Care Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Liu Yang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ting Yuan
- Obstetrics and Gynecology Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Congzhi Wang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Dongmei Zhang
- Department of Pediatric Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Jing Li
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Mingming Liu
- Department of Surgical Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Ying Hua
- Rehabilitation Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China
| | - Lin Zhang
- Department of Internal Medicine Nursing, School of Nursing, Wannan Medical College, 22 Wenchang West Road, Higher Education Park, Wuhu City, An Hui Province, People's Republic of China.
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Zong X, Kelishadi R, Kim HS, Schwandt P, Matsha TE, Mill JG, Whincup PH, Pacifico L, López-Bermejo A, Caserta CA, Medeiros CCM, Yan WL, Kollias A, Skidmore P, Correia-Costa L, Khadilkar A, Jazi FS, Gong Z, Zhang C, Magnussen CG, Zhao M, Xi B. Utility of waist-to-height ratio, waist circumference and body mass index in predicting clustered cardiometabolic risk factors and subclinical vascular phenotypes in children and adolescents: A pooled analysis of individual data from 14 countries. Diabetes Metab Syndr 2024; 18:103042. [PMID: 38781718 DOI: 10.1016/j.dsx.2024.103042] [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: 03/19/2024] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
AIMS The clinical utility of waist-to-height ratio (WHtR) in predicting cardiometabolic risk factors (CMRFs) and subclinical markers of cardiovascular disease remains controversial. We aimed to compare the utility of WHtR with waist circumference (WC) and body mass index (BMI) in identifying children and adolescents (youths) at risk for cardiometabolic outcomes, including clustered CMRFs, high carotid intima-media thickness (cIMT), and arterial stiffness (assessed as high pulse wave velocity, PWV). METHODS We analyzed data from 34,224 youths (51.0 % boys, aged 6-18 years) with CMRFs, 5004 (49.5 % boys, aged 6-18 years) with cIMT measurement, and 3100 (56.4 % boys, aged 6-17 years) with PWV measurement from 20 pediatric samples across 14 countries. RESULTS WHtR, WC, and BMI z-scores had similar performance in discriminating youths with ≥3 CMRFs, with the area under the curve (AUC) (95 % confidence interval, CI)) ranging from 0.77 (0.75-0.78) to 0.78 (0.76-0.80) using the modified National Cholesterol Education Program (NCEP) definition, and from 0.77 (0.74-0.79) to 0.77 (0.74-0.80) using the International Diabetes Federation (IDF) definition. Similarly, all three measures showed similar performance in discriminating youths with subclinical vascular outcomes, with AUC (95 % CI) ranging from 0.67 (0.64-0.71) to 0.70 (0.66-0.73) for high cIMT (≥P95 values) and from 0.60 (0.58-0.66) to 0.62 (0.58-0.66) for high PWV (≥P95 values). CONCLUSIONS Our findings suggest that WHtR, WC, and BMI are equally effective in identifying at-risk youths across diverse pediatric populations worldwide. Given its simplicity and ease of use, WHtR could be a preferable option for quickly screening youths with increased cardiometabolic risk in clinical settings.
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Affiliation(s)
- Xin'nan Zong
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China; Department of Growth and Development, Capital Institute of Pediatrics, Beijing, China
| | - Roya Kelishadi
- Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hae Soon Kim
- Department of Pediatrics, Ewha Womans University College of Medicine, Seoul, South Korea
| | - Peter Schwandt
- Atherosclerosis Prevention Institute, Munich-Nuremberg, Munich, Germany
| | - Tandi E Matsha
- Department of Biomedical Sciences, Faculty of Health & Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Jose G Mill
- Department of Physiological Sciences, Center of Health Sciences, Federal University of Espírito Santo, Vitória, Brazil
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, London, UK
| | - Lucia Pacifico
- Department of Maternal and Child Health, Sapienza University of Rome, Rome, Italy
| | - Abel López-Bermejo
- Pediatric Endocrinology Research Group, Girona Biomedical Research Institute (IDIBGI), Salt, Spain; Department of Pediatrics, Hospital Dr. Josep Trueta, Girona, Spain; Department of Medical Sciences, University of Girona, Girona, Spain
| | - Carmelo Antonio Caserta
- Associazione Calabrese Di Epatologia - Medicina Solidale - A.C.E. ETS, Reggio Calabria, Italy
| | | | - Wei-Li Yan
- Department of Clinical Epidemiology, Children's Hospital of Fudan University, Shanghai, China
| | - Anastasios Kollias
- Hypertension Center STRIDE-7, School of Medicine, Third Department of Medicine, National and Kapodistrian University of Athens, Sotiria Hospital, Athens, Greece
| | - Paula Skidmore
- Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Liane Correia-Costa
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto & Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Universidade do Porto, Porto, Portugal; Division of Pediatric Nephrology, Centro Materno-Infantil do Norte, Centro Hospitalar Universitário de Santo António, Porto, Portugal; CAC ICBAS-CHP - Centro Académico Clínico Instituto de Ciências Biomédicas Abel Salazar - Centro Hospitalar Universitário de Santo António, Porto, Portugal
| | - A Khadilkar
- Hirabai Cowasji Jehangir Medical Research Institute, Pune, India
| | | | - Zhuo Gong
- School of Public Health, Changsha Medical University, Changsha, China
| | - Cheng Zhang
- National Key Laboratory for Innovation and Transformation of Luobing Theory, The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, Department of Cardiology, Qilu Hospital of Shandong University, Jinan, China
| | - Costan G Magnussen
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Research Center of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Min Zhao
- Department of Nutrition and Food Hygiene, School of Public Health, Shandong University, Jinan, China.
| | - Bo Xi
- Department of Epidemiology, School of Public Health, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
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Li Y, Zeng L. Comparison of seven anthropometric indexes to predict hypertension plus hyperuricemia among U.S. adults. Front Endocrinol (Lausanne) 2024; 15:1301543. [PMID: 38524637 PMCID: PMC10958198 DOI: 10.3389/fendo.2024.1301543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/05/2024] [Indexed: 03/26/2024] Open
Abstract
Purpose This study aims to compare the association of hypertension plus hyperuricemia (HTN-HUA) with seven anthropometric indexes. These include the atherogenic index of plasma (AIP), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), body roundness index (BRI), a body shape index (ABSI), and the cardiometabolic index (CMI). Methods Data was procured from the National Health and Nutrition Examination Survey (NHANES), which recruited a representative population aged 18 years and above to calculate these seven indexes. Logistic regression analysis was employed to delineate their correlation and to compute the odds ratios (OR). Concurrently, receiver operating characteristic (ROC) curves were utilized to evaluate the predictive power of the seven indexes. Results A total of 23,478 subjects were included in the study. Among these, 6,537 (27.84%) were patients with HUA alone, 2,015 (8.58%) had HTN alone, and 2,836 (12.08%) had HTN-HUA. The multivariate logistic regression analysis showed that the AIP, LAP, VAI, TyG, BRI, ABSI, and CMI were all significantly associated with concurrent HTN-HUA. The OR for the highest quartile of the seven indexes for HTN-HUA were as follows: AIP was 4.45 (95% CI 3.82-5.18), LAP was 9.52 (95% CI 7.82-11.59), VAI was 4.53 (95% CI 38.9-5.28), TyG was 4.91 (95% CI 4.15-5.80), BRI was 9.08 (95% CI 7.45-11.07), ABSI was 1.71 (95% CI 1.45 -2.02), and CMI was 6.57 (95% CI 5.56-7.76). Notably, LAP and BRI demonstrated significant discriminatory abilities for HTN-HUA, with area under the curve (AUC) values of 0.72 (95% CI 0.71 - 0.73) and 0.73 (95% CI 0.72 - 0.74) respectively. Conclusion The AIP, LAP, VAI, TyG, BRI, ABSI, and CMI all show significant correlation with HTN-HUA. Notably, both LAP and BRI demonstrate the capability to differentiate cases of HTN-HUA. Among these, BRI is underscored for its effective, non-invasive nature in predicting HTN-HUA, making it a superior choice for early detection and management strategies.
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Affiliation(s)
- Ye Li
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
| | - Ling Zeng
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- West China School of Nursing, Sichuan University, Chengdu, China
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Qin X, Wei J, Chen J, Lei F, Qin Y. Non-linear relationship between body roundness index and albuminuria among children and adolescents aged 8-19 years: A cross-sectional study. PLoS One 2024; 19:e0299509. [PMID: 38451930 PMCID: PMC10919584 DOI: 10.1371/journal.pone.0299509] [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: 10/11/2023] [Accepted: 02/09/2024] [Indexed: 03/09/2024] Open
Abstract
INTRODUCTION Obesity has been found to be correlated with numerous health issues, including an elevated risk of albuminuria in adults. However, this correlation is still controversial among children and adolescents, as several recent large-scale cross-sectional studies have observed a negative correlation between obesity and albuminuria. Our study aimed to investigate the link between the body roundness index (BRI) and albuminuria among children and adolescents, in order to further understand the correlation between obesity and albuminuria in this demographic. METHODS We employed information from the National Health and Nutrition Examination Survey (NHANES) 1999-2010 for cross-sectional analysis. Weighted logistic regression was employed to explore the linear relationship between BRI and albuminuria, with subgroup analyses performed for more detailed insights. Weighted linear regression analysis was employed to explore the relationship between BRI and the urine albumin-creatinine ratio (UACR). Additionally, we applied smooth curve fitting to investigate their non-linear relationship and conducted threshold effect analysis to identify any turning point. RESULTS In this study of 15,487 participants aged 8-19 years, multivariate logistic regression analysis revealed a significant negative correlation between BRI and albuminuria (OR = 0.616, 95%CI: 0.526-0.722). The relationship between BRI and UACR, as shown by multivariate linear regression analysis, was significantly inversely correlated (β: -5.424, 95%CI: -7.416 to -3.433). Furthermore, smooth curve fitting and threshold effect analysis showed a non-linear relationship between BRI and albuminuria, with a BRI inflection point identified at 2.906. CONCLUSIONS These findings of our study suggest a significant nonlinear negative association between BRI and the presence of albuminuria among children and teenagers, and maintaining an appropriate BRI may decrease the occurrence of albuminuria in this population.
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Affiliation(s)
- Xuankai Qin
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jiahui Wei
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jie Chen
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Fengying Lei
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Yuanhan Qin
- Department of Pediatrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
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Tao L, Miao L, Guo YJ, Liu YL, Xiao LH, Yang ZJ. Associations of body roundness index with cardiovascular and all-cause mortality: NHANES 2001-2018. J Hum Hypertens 2024; 38:120-127. [PMID: 37752175 DOI: 10.1038/s41371-023-00864-4] [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: 04/02/2023] [Revised: 08/31/2023] [Accepted: 09/15/2023] [Indexed: 09/28/2023]
Abstract
Body roundness index (BRI) was associated with cardiovascular diseases. But the relationship between BRI with cardiovascular disease (CVD) mortality and all-cause mortality remains largely unknown in hypertensive patients. This prospective cohort study included patients with hypertension who participated in the National Health and Nutrition Examination Survey (NHANES) from 2001 through 2018, and aimed to evaluate the association between BRI with CVD mortality and all-cause mortality. A total of 15570 patients were included. Over a median follow-up of 8.0 years (interquartile range, 4.3-12.6 years), 3445 individuals died, including 1166 CVD deaths. Weighted restricted cubic spline regression results showed a nonlinear association between BRI and CVD mortality and all-cause mortality (both P for nonlinear trend <0.001). The weighted multivariate Cox proportional hazards regression showed the hazard ratio (HRs) for CVD mortality were 0.93 (95% CI: 0.84-1.03, P = 0.160) in the low levels of BRI (≤5.9) and 1.11 (95% CI: 1.05-1.19, P < 0.001) in the high levels of BRI (>5.9). Similar associations were observed for all-cause mortality, the HRs were 0.91 (95% CI: 0.87-0.96, P < 0.001) in the low levels of BRI (≤6.3) and 1.09 (95% CI: 1.05-1.13, P < 0.001) in the high levels of BRI (>6.3). This cohort study supported that BRI was nonlinearly associated with CVD mortality and all-cause mortality among patients with hypertension. The thresholds of 5.9 and 6.3 for CVD mortality and all-cause mortality, respectively, may represent intervention targets for lowering the risk of premature death, but this needs to be confirmed in large clinical trials.
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Affiliation(s)
- Lin Tao
- Departments of Cardiology, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China
| | - Liu Miao
- Departments of Cardiology, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China
| | - Yu-Jie Guo
- Departments of Cardiology, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China
| | - Yan-Li Liu
- Departments of Cardiology, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China
| | - Li-Hong Xiao
- Departments of General Medicine, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China
| | - Zhi-Jie Yang
- Departments of Cardiology, Liuzhou People's Hospital, 8 Wenchang Road, Liuzhou, 545006, Guangxi, People's Republic of China.
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Kochman M, Brzuszek M, Jabłoński M. Changes in Metabolic Health and Sedentary Behavior in Obese Children and Adolescents. J Clin Med 2023; 12:5456. [PMID: 37685523 PMCID: PMC10487512 DOI: 10.3390/jcm12175456] [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: 07/17/2023] [Revised: 08/08/2023] [Accepted: 08/21/2023] [Indexed: 09/10/2023] Open
Abstract
Obesity is becoming more common among children and adolescents. As in adults, obesity in the pediatric population is associated with an increased risk of metabolic disorders and diseases. In the related literature, little attention has been devoted to evaluating how metabolic health and sedentary behavior change in the obese pediatric population. Therefore, this study aimed to assess changes in metabolic health and sedentary behavior in obese children aged 7-12 and adolescents aged 13-17. For this single-center hospital-based prospective observational study, we included 202 Polish children and adolescents aged 7-17 years. We performed blood pressure measurements and collected blood samples to assess metabolic health markers. Based on the performed measurements, we also calculated additional indexes and ratios: BMI, WHtR, ABSI, VAI, and HOMA-IR. The analysis of the results showed clear and significant differences between the study groups. The older boys and girls were identified with higher values of anthropometric ratios, blood pressure, time spent sitting, and lower HDL cholesterol values (p < 0.05). The analysis also revealed a strong-to-moderate correlation between age and anthropometric ratios, blood pressure, HDL cholesterol, and sitting time (p < 0.05). Obese children and adolescents included in this study represent poor metabolic health and are at great risk of developing other metabolic diseases such as type 2 diabetes, hypertension, or metabolic syndrome. This risk increases with age; therefore, a number of preventive and therapeutic actions should be taken in overweight and obese children and adolescents to avoid further metabolic complications.
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Affiliation(s)
- Maciej Kochman
- Physiotherapy Department, Institute of Health Sciences, College of Medical Sciences, University of Rzeszów, Marszałkowska 24, 35-215 Rzeszów, Poland
| | - Marta Brzuszek
- Institute of Health Sciences, College of Medical Sciences, University of Rzeszów, Kopisto 2a, 35-959 Rzeszów, Poland
| | - Mirosław Jabłoński
- Chair of Rehabilitation and Physiotherapy, Faculty of Health Sciences, Medical University of Lublin, Jaczewskiego 8 Street, 20-090 Lublin, Poland
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Abstract
PURPOSE OF REVIEW Approximately 370 million children and adolescents worldwide showed overweight or obesity in 2016. The risk of developing severe comorbidities depends on the age of onset and the duration of obesity. This review discusses available methodologies to detect excess body fat in children as well as the early life factors that predict excess body fat and its development. RECENT FINDINGS Factors, such as parental nutritional status, maternal weight gain during pregnancy, maternal malnutrition, maternal smoking during pregnancy, low and high birth weight, rapid weight gain, and short infant sleep duration have been independently and positively associated with neonatal, infant, and children adiposity. Early detection of excess body fat in children through the use of various tools is the first step in preventing nutrition-related diseases in adulthood. SUMMARY The early detection of excess body fat and the implementation of efficient interventions to normalize the weight of children and adolescents at obesity risk are essential to prevent diseases in adult life.
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Affiliation(s)
- Diana Paola Córdoba-Rodríguez
- Departamento de Nutrición y Bioquímica, Facultad de Ciencias, Pontificia Universidad Javeriana, Bogotá DC, Colombia
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2)Universidad de Zaragoza, Zaragoza, Spain
| | - Gerardo Rodriguez
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2)Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- Red de Salud Materno Infantil y del Desarrollo (SAMID), Instituto de Salud Carlos III, Madrid, Spain
- Área de Pediatría, Universidad de Zaragoza, Zaragoza, Spain
| | - Luis A Moreno
- Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2)Universidad de Zaragoza, Zaragoza, Spain
- Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain
- Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBERObn), Instituto de Salud Carlos III Madrid, Madrid, Spain
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Dang J, Ma N, Liu Y, Zhong P, Shi D, Cai S, Dong Y, Zou Z, Ma Y, Song Y, Ma J. The independent and combined effects of single-child status and ideal lifestyle on clustered cardio-metabolic risk factors among Chinese children and adolescents. Front Nutr 2022; 9:987334. [PMID: 36105575 PMCID: PMC9464906 DOI: 10.3389/fnut.2022.987334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 08/01/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundCardio-metabolic risk factors (CMRFs) represent the accumulation of metabolic abnormalities, significantly increasing the likelihood of cardiovascular diseases. Although studies assessed the independent association of single-child status and lifestyle risk factors with components of CMRFs or clustered CMRFs, little has been known about the combined effect of single-child status and lifestyles on clustered CMRFs as well as sex differences.Materials and methodsData was collected from a cross-sectional survey conducted in September 2013 in China. A total of 13,859 children and adolescents aged 7–18 years with blood samples were included. Anthropometric measurements and serum biochemical indexes were collected to assess clustered CMRFs, while questionnaires were used to obtain single-child status, lifestyle information, and characteristics of children and their parents. Mixed effect logistic regression was applied to analyze the independent and the combined effects of single-child status and ideal lifestyle category on clustered CMRFs.ResultsThe prevalence of clustered CMRFs was 3.4%, with a higher prevalence in boys (4.0%) than girls (2.7%). Children and adolescents with clustered CMRFs had a higher proportion of single children (76.6 vs. 69.7%) and unfavorable lifestyles (62.1 vs. 29.2%) compared with their peers with non-clustered CMRFs. Both single children (OR = 1.67, 95% CI: 1.32–2.11) and unfavorable lifestyles (OR = 9.03, 95% CI: 6.26–13.02) were associated with an increased risk of clustered CMRFs. The risk of clustered CMRFs increased significantly (OR = 12.79, 95% CI: 6.67–24.52) when single children and an unfavorable lifestyle were combined, which was almost neutralized (OR = 1.33, 95% CI: 0.63–2.82) when single children adhered to a favorable lifestyle. However, no sex differences were observed in this study.ConclusionSingle children with unfavorable lifestyles were associated with an obvious risk of clustered CMRFs, which might be partially offset by expanding family size (the number of siblings) or establishing a favorable lifestyle. A birth-friendly social environment as well as a family environment with a favorable lifestyle are encouraged in China.
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Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Panliang Zhong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Shan Cai
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Zhiyong Zou
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yinghua Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- *Correspondence: Yi Song,
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing, China
- Jun Ma,
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