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Liu J, Li J, Xia C, He W, Li X, Shen S, Zhou X, Tong N, Peng L. The effect of hyperlipidemia and body fat distribution on subclinical left ventricular function in obesity: a cardiovascular magnetic resonance study. Cardiovasc Diabetol 2024; 23:120. [PMID: 38566090 PMCID: PMC10985902 DOI: 10.1186/s12933-024-02208-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: 08/18/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Obesity is often associated with multiple comorbidities. However, whether obese subjects with hyperlipidemia in the absence of other complications have worse cardiac indices than metabolically healthy obese subjects is unclear. Therefore, we aimed to determine the effect of hyperlipidemia on subclinical left ventricular (LV) function in obesity and to evaluate the association of cardiac parameters with body fat distribution. MATERIALS AND METHODS Ninety-two adults were recruited and divided into 3 groups: obesity with hyperlipidemia (n = 24, 14 males), obesity without hyperlipidemia (n = 25, 13 males), and c ntrols (n = 43, 25 males). LV strain parameters (peak strain (PS), peak diastolic strain rate (PDSR), peak systolic strain rate) derived from cardiovascular magnetic resonance tissue tracking were measured and compared. Dual-energy X-ray absorptiometer was used to measure body fat distribution. Correlations of hyperlipidemia and body fat distribution with LV strain were assessed by multivariable linear regression. RESULTS Obese individuals with preserved LV ejection fraction showed lower global LV longitudinal, circumferential, and radial PS and longitudinal and circumferential PDSR than controls (all P < 0.05). Among obese patients, those with hyperlipidemia had lower longitudinal PS and PDSR and circumferential PDSR than those without hyperlipidemia (- 12.8 ± 2.9% vs. - 14.2 ± 2.7%, 0.8 ± 0.1 s-1 vs. 0.9 ± 0.3 s-1, 1.2 ± 0.2 s-1 vs. 1.4 ± 0.2 s-1; all P < 0.05). Multivariable linear regression demonstrated that hyperlipidemia was independently associated with circumferential PDSR (β = - 0.477, P < 0.05) in obesity after controlling for growth differences, other cardiovascular risk factors, and central fat distribution. In addition, android fat had an independently negative relationship with longitudinal and radial PS (β = - 0.486 and β = - 0.408, respectively; all P < 0.05); and visceral fat was negatively associated with longitudinal PDSR (β = - 0.563, P < 0.05). Differently, gynoid fat was positively correlated with circumferential PS and PDSR and radial PDSR (β = 0.490, β = 0.481, and β = 0.413, respectively; all P < 0.05). CONCLUSION Hyperlipidemia is independently associated with subclinical LV diastolic dysfunction in obesity. Central fat distribution (android and visceral fat) has a negative association, while peripheral fat distribution (gynoid fat) has a positive association on subclinical LV function. These results suggest that appropriate management of hyperlipidemia may be beneficial for obese patients, and that the differentiation of fat distribution in different regions may facilitate the precise management of obese patients. Clinical trials registration Effect of lifestyle intervention on metabolism of obese patients based on smart phone software (ChiCTR1900026476).
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Affiliation(s)
- Jing Liu
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Jing Li
- Department of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Wenzhang He
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Xue Li
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Sumin Shen
- Department of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, 200126, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, Center for Diabetes and Metabolism Research, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
| | - Liqing Peng
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
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Tu WJ, Sun H, Yan F, Fan Y, Yi Z, Li JL, Zeng X. China Trends in Physical Inactivity from 2013 to 2019: An Analysis of 4.23 Million Participants. Med Sci Sports Exerc 2024; 56:528-535. [PMID: 37793155 DOI: 10.1249/mss.0000000000003315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
INTRODUCTION This study aimed to evaluate recent trends in physical inactivity prevalence by sociodemographic characteristics and the province of China's residence between 2013 and 2019. METHODS The study included 4,229,616 participants 40 yr or older from 414 geographically defined localities in China during the 7-yr period. Self-reported total physical inactivity was collected to determine the standardized prevalence of physical inactivity. Logistic regression analysis was used to examine the association between physical inactivity and stroke risk, obtaining odds ratios (OR) and 95% confidence intervals (CI). RESULTS Results showed that the standardized prevalence of physical inactivity increased from 22.12% (95% CI = 21.99%-22.45%) in 2013 to 28.79% (95% CI = 28.48%-29.19%) in 2019, with an absolute difference of 6.67% (95% CI = 6.15% to 7.16%) and a yearly increase rate of 5.03% (95% CI = 4.85% to 5.21%). In 2019, physical inactivity was higher in female and rural participants (female = 29.55%, rural = 29.46%) than in male and urban participants (male = 28.03%, urban = 28.26%). The prevalence of physical inactivity also varied by race/ethnic groups, with the highest prevalence observed among Uyghur (47.21%) and the lowest among Yizu (14.84%). Additionally, the prevalence of physical inactivity differed by province, ranging from 14.44% in Beijing to 50.09% in Tianjin in 2019. Multivariate analyses showed that physical inactivity was associated with a higher risk of stroke (OR = 1.17, 95% CI = 1.12-1.21, P < 0.001). CONCLUSIONS In conclusion, our study found an overall increase in physical inactivity prevalence among Chinese adults ≥40 yr old from 2013 to 2019, with significant variation across regions, sex, ages, and race/ethnic groups.
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Affiliation(s)
| | - Huaxia Sun
- Department of Neurology, Weifang Chinese Medicine Hospital, Weifang, CHINA
| | - Feng Yan
- Department of Neurosurgery, Xuanwu Hospital Capital Medical University, Beijing, CHINA
| | - Yangyi Fan
- Department of Neurology, Peking University People's Hospital, Beijing, CHINA
| | - Zhiqiang Yi
- Department of Neurosurgery, Peking University First Hospital, Beijing, China, Beijing, CHINA
| | - Ji-Lai Li
- Department of Neurology, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, CHINA
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Luo Y, Liu J, Zeng J, Pan H. Global burden of cardiovascular diseases attributed to low physical activity: An analysis of 204 countries and territories between 1990 and 2019. Am J Prev Cardiol 2024; 17:100633. [PMID: 38380078 PMCID: PMC10877163 DOI: 10.1016/j.ajpc.2024.100633] [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: 10/13/2023] [Revised: 12/14/2023] [Accepted: 01/06/2024] [Indexed: 02/22/2024] Open
Abstract
Background Low physical activity is a major risk factor for cardiovascular diseases (CVDs). This study aimed to estimate the global, regional, national, and sex-age-specific burden of CVDs attributed to low physical activity from 1990 to 2019. Methods We leveraged data from the Global Burden of Disease Study 2019 to compute the number of fatalities, disability-adjusted life years (DALYs), age-adjusted mortality rates (ASMR), and age-adjusted DALY rates (ASDR) attributed to CVDs resulting from low physical activity. Furthermore, we scrutinized the trends and correlations of these metrics in connection with the socio-demographic index (SDI) across 21 regions and 204 countries and territories. Results The global deaths and DALYs due to CVDs caused by low physical activity increased from 371,042.96 [95 % UI: 147,621.82-740,490] and 6,282,524.95 [95 % UI: 2,334,970.61-13,255,090.08] in 1990 to 639,174.92 [95 % UI: 272,011.34-1,216,528.4] and 9,996,080.17 [95 % UI: 4,130,111.16-20,323,339.89] in 2019, respectively. The corresponding ASMR and ASDR decreased from 12.55 [95 % UI: 5.12-24.23] and 181.64 [95 % UI: 71.59-374.01] in 1990 to 8.6 [95 % UI: 3.68-16.28] and 127.52 [95 % UI: 53.07-256.55] in 2019, respectively. Deaths and DALYs attributed to low physical activity were initially higher in males but shifted to females after 70-74 age group. Both genders had increasing death rates, peaking at 80-84 age group. Most CVDs deaths and DALYs number are caused by ischemic heart disease. The highest burden of CVDs attributed to low physical activity was observed in North Africa and the Middle East. The lowest burden was observed in Oceania and High-income Asia Pacific. There was a distinctive 'n-shape' relationship between the regional SDI and the ASDR of CVDs attributed to low physical activity from 1990 to 2019. Conclusion The global impact of CVDs stemming from low physical activity remains substantial and demonstrates substantial regional disparities. As individuals age, this burden becomes more prominent, particularly among females. Efficacious interventions are imperative to promote physical activity and mitigate the risk of CVDs across diverse populations and regions.
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Affiliation(s)
- Yanfang Luo
- Department of Cardiology, Huizhou Municipal People's Hospital, Huizhou, 516001, PR China
| | - Jinguang Liu
- Department of Cardiology, Huizhou Municipal People's Hospital, Huizhou, 516001, PR China
| | - Jinshan Zeng
- Department of Cardiology, Huizhou Municipal People's Hospital, Huizhou, 516001, PR China
| | - Hailin Pan
- Department of Cardiology, Huizhou Municipal People's Hospital, Huizhou, 516001, PR China
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Guan T, Cao M, Zheng C, Zhou H, Wang X, Chen Z, Zhang L, Cao X, Tian Y, Guo J, Han X, Wang Z. Dose-response association between physical activity and blood pressure among Chinese adults: a nationwide cross-sectional study. J Hypertens 2024; 42:360-370. [PMID: 38037282 PMCID: PMC10763713 DOI: 10.1097/hjh.0000000000003587] [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: 01/05/2023] [Accepted: 08/25/2023] [Indexed: 12/02/2023]
Abstract
OBJECTIVES The aim of this study was to examine the dose-response associations of physical activity with blood pressure (BP) and hypertension risk among Chinese adults. METHODS Derived from the national community-based China Hypertension Survey database during 2012--2015, a total of 203 108 residents aged at least 18 years were included. Individual-level physical activity was evaluated using a standardized questionnaire, and minutes of metabolic equivalent tasks per week (MET-min/week) were calculated, integrating domain, intensity, frequency, and duration. Multivariable linear and logistic regressions were used to estimate associations of physical activity with BP and hypertension risk, and restricted cubic spline regressions were performed for their nonlinear dose-response relationships. RESULTS Overall, the median total physical activity (TPA) was 3213.0 MET-min/week and the prevalence of physical inactivity was 14.8%. TPA was negatively associated with BP. Increasing TPA levels was related to a steep decrease in systolic BP, up to approximately 2500 MET-min/week, with more modest benefits above that level of TPA. Higher levels of domain-specific and intensity-specific physical activity were found to be associated with lower BP levels and hypertension risk, except for the association between vigorous-intensity physical activity and systolic BP. We found that TPA within the range of 2000--4000 MET-min/week, a higher frequency and shorter duration were inversely associated with diastolic BP levels. CONCLUSION Total, domain-specific, and intensity-specific physical activity were inversely related to BP levels, respectively, in a dose-response fashion. Of a given amount, higher-frequency, shorter-duration, and lower-intensity physical activity produced more beneficial effects.
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Affiliation(s)
| | - Man Cao
- School of Health Policy and Management
| | - Congyi Zheng
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Haoqi Zhou
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Xin Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Zuo Chen
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Linfeng Zhang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Xue Cao
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Yixin Tian
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
| | - Jian Guo
- Medical Research Center
- Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | | | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital
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Liu J, Qu Y, Li J, He W, Chen X, Li X, Wang Y, Tang H, Yuan Y, Deng L, Chen G, Zheng T, Nie L, Zhou X, Song B, Tong N, Peng L. Myocardial tissue remodeling in early adult obesity and its association with regional adipose tissue distribution and ectopic fat deposits: a prospective study. Eur Radiol 2024; 34:970-980. [PMID: 37572193 DOI: 10.1007/s00330-023-10081-9] [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: 04/13/2023] [Revised: 06/16/2023] [Accepted: 07/19/2023] [Indexed: 08/14/2023]
Abstract
OBJECTIVES To evaluate the left ventricular (LV) myocardial tissue characteristics in early adult obesity and its association with regional adipose tissue and ectopic fat deposition. METHODS Forty-nine obese adults (mean body mass index: 29.9 ± 2.0 kg/m2) and 44 healthy controls were prospectively studied. LV native and post-contrast T1 values, extracellular volume fraction (ECV), regional adipose tissue (epicardial, visceral, and subcutaneous adipose tissue (EAT, VAT, and SAT)), and ectopic fat deposition (hepatic and pancreatic proton density fat fractions (H-PDFF and P-PDFF)) based on magnetic resonance imaging were compared. The association was assessed by multivariable linear regression. RESULTS The obese participants showed reduced global ECV compared to the healthy controls (p < 0.05), but there was no significant difference in global native or post-contrast T1 values between the two groups. Additionally, the obese individuals exhibited higher EAT, VAT, SAT, H-PDFF, and P-PDFF than the controls (p < 0.05). ECV was associated with insulin resistance, dyslipidemia, and systolic blood pressure (SBP) (p < 0.05). Multiple linear regression demonstrated that H-PDFF and SAT were independently associated with ECV in entire population (β = - 0.123 and - 0.012; p < 0.05). CONCLUSIONS Reduced myocardial ECV in patients with mild-to-moderate obesity and its relationship to SBP may indicate that cardiomyocyte hypertrophy, rather than extracellular matrix expansion, is primarily responsible for myocardial tissue remodeling in early adult obesity. Our findings further imply that H-PDFF and SAT are linked with LV myocardial tissue remodeling in this cohort beyond the growth difference and cardiovascular risk factors. CLINICAL TRIALS REGISTRATION Effect of lifestyle intervention on metabolism of obese patients based on smart phone software (ChiCTR1900026476). CLINICAL RELEVANCE STATEMENT Myocardial fibrosis in severe obesity predicts poor prognosis. We showed that cardiomyocyte hypertrophy, not myocardial fibrosis, is the main myocardial tissue characteristic of early obesity. This finding raises the possibility that medical interventions, like weight loss, may prevent cardiac fibrosis. KEY POINTS • Myocardial tissue characteristics in early adult obesity are unclear. • Myocardial extracellular volume fraction (ECV) can be quantitatively evaluated using T1 mapping based on cardiac magnetic resonance imaging (MRI). • Cardiac MRI-derived ECV may noninvasively evaluate myocardial tissue remodeling in early adult obesity.
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Affiliation(s)
- Jing Liu
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Yali Qu
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Jing Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Wenzhang He
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Xiaoyi Chen
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Xue Li
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Yinqiu Wang
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Hehan Tang
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Yuan Yuan
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Liping Deng
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Guoyong Chen
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Tianying Zheng
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, 200126, China
| | - Bin Song
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
- Department of Radiology, Sanya People's Hospital, Sanya, Hainan, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
| | - Liqing Peng
- Department of Radiology, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
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Wu X, Li G, Liu L, Zhao Y, Golden AR, Cai L. Trends in prevalence of obesity and its association with hypertension across socioeconomic gradients in rural Yunnan Province, China. BMC Cardiovasc Disord 2024; 24:75. [PMID: 38281972 PMCID: PMC10822144 DOI: 10.1186/s12872-024-03741-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 01/19/2024] [Indexed: 01/30/2024] Open
Abstract
BACKGROUND This study aimed to uncover the changing prevalence of obesity and its association with hypertension across socioeconomic gradients in rural southwest China. METHODS Data were collected from two cross-sectional health interviews and surveys from 2011 to 2021 among individuals aged ≥ 35 years in rural China. Each participant's height, weight, waist circumference, and blood pressure were measured. The overall prevalence of obesity, central obesity, and hypertension was directly standardized by age based on the total population of the two surveys. Multivariate logistic regression was used to analyze the association between obesity and prevalence of hypertension and an individual socioeconomic position (SEP) index was constructed using principal component analysis. RESULTS From 2011 to 2021, the prevalence of obesity, central obesity, and hypertension increased substantially, from 5.9%, 50.2%, and 26.1-12.1%, 58.0%, and 40.4% (P < 0.01), respectively. These increasing rates existed in all subcategories, including sex, age, ethnicity, education, annual household income, access to medical services, and SEP (P < 0.05). In both 2011 and 2021, lower education level and poor access to medical services correlated with higher prevalence of central obesity, while higher SEP correlated with higher prevalence of obesity and central obesity (P < 0.01). Prevalence of obesity was higher in the Han ethnicity participants and individuals with poor access to medical services than in their counterparts (P < 0.01). Whereas the prevalence of central obesity was lower in Han participants than in ethnic minority participants in 2011 (P < 0.01), this trend reversed in 2021 (P < 0.01). A positive relationship between annual household income and prevalence of obesity and central obesity was only found in 2021 (P < 0.01). Obese and centrally obese participants were more likely to be hypertensive in both survey years (P < 0.01). CONCLUSIONS Future interventions to prevent and manage obesity in rural China should give increased attention to high income, less educated, poor access to medical services, and high SEP individuals. The implementation of these obesity interventions would also help reduce the prevalence of hypertension.
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Affiliation(s)
- Xia Wu
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China
- The Second Affiliated Hospital of Kunming Medical University, 374 Yunnan- Myanmar Avenue, Wu Hua District, Kunming, 650106, China
| | - Guohui Li
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China
| | - Lan Liu
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China
| | - Yi Zhao
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China
- The First Affiliated Hospital of Kunming Medical University, 295 Xi Chang Raod, Wu Hua District, Kunming, 650031, China
| | - Allison Rabkin Golden
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China
| | - Le Cai
- Yunnan Provincial Key Laboratory of Public Health and Biosafety & School of Public Health, Kunming Medical University, 1168 Yu Hua Street Chun Rong Road, Cheng Gong New City, Kunming, 650500, China.
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Yao L, Zhou K, Zhou Y, Kueh YC, Liu H, Liu Z, Pan M, Kuan G. Psychometric properties of the Chinese version of the Exercise Self-Efficacy Scale for the Transtheoretical Model: a confirmatory analysis among Chinese children and adolescents. BMC Public Health 2024; 24:151. [PMID: 38200518 PMCID: PMC10782543 DOI: 10.1186/s12889-023-17596-2] [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: 09/25/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Self-efficacy has been recognized as a critical component in people's participation and maintenance of physical activity. This study aims to validate the Chinese version of the Exercise Self-Efficacy Scale (ESE) among Chinese children and adolescents using confirmatory factor analysis (CFA). METHODS A cross-sectional study was conducted on two primary and two secondary schools in central China. The ESE scale was translated into Chinese (ESE-C) using the standard forward-backward translation method. Data were analyzed using Mplus 8 for the CFA. RESULTS The final model showed a satisfactory level of goodness-of-fit (CFI = 0.918; TLI = 0.905; SRMR = 0.043; RMSEA = 0.066), indicating a good construct validity of the ESE-C for children and adolescents in mainland China. Furthermore, the final ESE-C model achieved composite reliability values of 0.963 and average variance extraction values of 0.597, indicating sufficient convergent and discriminant validity. Besides, the Cronbach's alpha value was 0.964, demonstrating excellent internal consistency of the ESE-C scale. CONCLUSION The ESE-C scale is a valid instrument for assessing exercise self-efficacy among children and adolescents in mainland China.
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Affiliation(s)
- Liying Yao
- School of Physical Education, Shangrao Normal University, Shangrao, Jiangxi, 334000, China
- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, 16150, Malaysia
| | - Ke Zhou
- Sports Reform and Development Research Center of Henan University, School of Physical Education, Henan University, Kaifeng, China.
| | - Yanli Zhou
- Sports Reform and Development Research Center of Henan University, School of Physical Education, Henan University, Kaifeng, China
| | - Yee Cheng Kueh
- Biostatistics and Research Methodology Unit, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
| | - Hongyou Liu
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China
| | - Zhongbiao Liu
- School of Physical Education & Sports Science, South China Normal University, Guangzhou, China
| | - Mingzhu Pan
- School of Physical Education, Shangrao Normal University, Shangrao, Jiangxi, 334000, China
- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, 16150, Malaysia
| | - Garry Kuan
- Exercise and Sports Science Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, 16150, Malaysia.
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Han Y, Sung H, Choi Y, Kim YS. Trends in obesity, leisure-time physical activity, and sedentary behavior in Korean adults: Korea national health and nutritional examinations survey from 2014 to 2021. PLoS One 2024; 19:e0296042. [PMID: 38170709 PMCID: PMC10763961 DOI: 10.1371/journal.pone.0296042] [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: 06/07/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024] Open
Abstract
OBJECTIVES This study aimed to investigate trends in obesity by dividing it based on body mass index (BMI) and waist circumference indicators, sedentary behavior, and leisure-time physical activity (LTPA) in Korean adults from 2014 to 2021. This study also aimed to determine the adherence rate of people with obesity to physical activity. METHODS Data from the Korea National Health and Nutritional Examination Survey (KNHANES) from 2014 to 2021 were used. A total of 42,676 participants 19 years or older were included in the final analysis. Sociodemographic characteristics, anthropometric measurements, and physical activity levels were recorded. Physical activity levels were assessed using the Global Physical Activity Questionnaire, a self-reported questionnaire. Multivariable logistic regression analysis adjusted for covariates was used to investigate the prevalence of obesity and sitting time or adherence to meeting the physical activity guidelines for each survey year. RESULTS This study included 42,676 adults. The weighted prevalence of obesity in all ages significantly increased from 30.8% (29.1%-32.5%) in 2014 to 34.5% (32.9%-36.2%) in 2017 and 37.3% (35.5%-39.1%) in 2021 (p for trend < 0.004). The weighted adherence rate to LTPA ranged from 25.5% (95% confidence interval [CI], 23.7%-27.2%) in 2014 to 20.5% (95% CI, 18.7%-22.2%) in 2021(p for trend < 0.001). The weighted prevalence of sitting time for 8 h/day or more significantly increased from 46.7% (44.4%-49.0%) in 2014 to 56.2% (54.4%-58.0%) in 2017 and 63% (60.7%-65.3%) in 2021 (p for trend < 0.001). According to this study, the LTPA level among women with obesity was significantly low. CONCLUSION From 2014 to 2021, obesity and sedentary behavior significantly increased and adherence to LTPA decreased among Korean adults. Given these concerning trends, comprehensive interventions are needed at the national level to encourage healthy lifestyle behaviors.
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Affiliation(s)
- Yunmin Han
- Seoul National University, Seoul, Republic of Korea
| | - Hoyong Sung
- Department of Military Kinesiology, Korea Military Academy, Seoul, Republic of Korea
| | | | - Yeon Soo Kim
- Seoul National University, Seoul, Republic of Korea
- Institute of Sports Science, Seoul National University, Seoul, Republic of Korea
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Zhu L, He A, Chen D, Dong X, Xiong X, Chen A. Cardiorespiratory fitness as a mediator between body fat rate and executive function in college students. Front Endocrinol (Lausanne) 2023; 14:1293388. [PMID: 38174333 PMCID: PMC10764023 DOI: 10.3389/fendo.2023.1293388] [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: 09/13/2023] [Accepted: 12/04/2023] [Indexed: 01/05/2024] Open
Abstract
Purpose To examine whether body fat rate (BF%) is associated with cardiorespiratory fitness (CRF) and whether cardiorespiratory fitness (CRF) mediates the association between BF% and Executive function (EF) in young adults. Methods In this cross-sectional study, 226 college students were recruited from an university. Flanker, 2-back, and odder and shifting tasks were used to assess EF. The incremental cardiopulmonary exercise tests were performed, and maximal oxygen consumption was recorded during test. The body composition measuring instrument was used to evaluate the participants' BF%. Results The BF% of college students was negatively correlated with each EF, BF% was negatively correlated with CRF, and CRF was negatively correlated with EF (P< 0.001). Structural equation modeling (SEM) and simultaneous analysis of several groups were used to construct mediator model. The CRF of college students plays a partial mediating role between BF% and EF, and the mediating effect accounts for 48.8% of the total effect value. Sex has no moderate effect on the relationship between BF%, CRF, and EF. Conclusions College students with high BF% can improve their CRF by strengthening physical exercise, thereby indirectly improving their EF. Therefore, college students who have a higher body fat percentage should be compensated for engaging in physical exercise in order to enhance their CRF and mitigate the detrimental effects of obesity and overweight on EF.
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Affiliation(s)
- Lina Zhu
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Aihong He
- College of Physical Education, Yangzhou Polytechnic College, Yangzhou, Jiangsu, China
| | - Dandan Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xiaoxiao Dong
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Xuan Xiong
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
| | - Aiguo Chen
- College of Physical Education, Yangzhou University, Yangzhou, Jiangsu, China
- Nanjing Sport Institute, Nanjing, Jiangsu, China
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10
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Tian Y, Zhao Z, Cao X, Kang Y, Wang L, Yin P, Song Y, Wang X, Zheng C, Fang Y, Zhang M, He Y, Hu Z, Cai J, Gu R, Pei X, Yu X, Zhou M, Wang Z. Socioeconomic inequalities in dementia burden related to high body mass index, 2005-2018: findings from 1.25 million Chinese adults. THE LANCET REGIONAL HEALTH. WESTERN PACIFIC 2023; 39:100862. [PMID: 37576907 PMCID: PMC10413348 DOI: 10.1016/j.lanwpc.2023.100862] [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: 06/25/2023] [Accepted: 07/16/2023] [Indexed: 08/15/2023]
Abstract
Background Dementia has become a major public health concern worldwide, but comprehensive assessments of dementia burden attributable to high body mass index (BMI) in China have not been done. Methods We used a temporal-spatial Bayesian hierarchical model to estimated BMI levels based on 1.25 million Chinese. We estimated dementia burden attributable to high BMI by age, sex, year, and socioeconomic development in terms of deaths and years of life lost (YLLs) and assessed the effect of population ageing. Findings The average age-standardised BMI was 24.58 kg/m2 and 24.15 kg/m2 for men and women in 2018, respectively. 12,901 (95% UI, 10,617-15,420) dementia deaths were attributable to high BMI in China in 2018, with 5417 deaths from man and 7421 deaths from woman. The attributable age-standardised YLL rates for dementia increased 27% from 2005 to 2018. The attributable age-standardised mortality rates increased with human development index. People aged 80 years and older had the highest attributable mortality rate, and the rate decreased with decreasing age. Population ageing was an important component of the increase in dementia death. Interpretation The rapid increase and large inequality highlighted the urgent need for evidence-based policies and interventions. We therefore call for establishing stronger anti-dementia strategies to promote the healthy ageing. Funding China National Key Research and Development Program, China National Science & Technology Pillar Program, and National Health Commission of the People's Republic of China.
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Affiliation(s)
- Yixin Tian
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Zhenping Zhao
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xue Cao
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Yuting Kang
- Office of National Clinical Research for Geriatrics, Beijing Hospital, National Center of Gerontology, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Limin Wang
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuxin Song
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Xin Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Congyi Zheng
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Yuehui Fang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mei Zhang
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuna He
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhen Hu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Jiayin Cai
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Runqing Gu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Xuyan Pei
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Xue Yu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
| | - Maigeng Zhou
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing, China
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11
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Li Z, Chen G, Sang Q, Wang L, Wuyun Q, Wang Z, Amin B, Lian D, Zhang N. A nomogram based on adipogenesis-related methylation sites in intraoperative visceral fat to predict EWL% at 1 year following laparoscopic sleeve gastrectomy. Surg Obes Relat Dis 2023; 19:990-999. [PMID: 37080886 DOI: 10.1016/j.soard.2023.02.021] [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: 11/02/2022] [Revised: 01/12/2023] [Accepted: 02/24/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Laparoscopic sleeve gastrectomy (LSG) is a crucial surgical procedure for patients with obesity. However, epigenetic research in LSG is still in its infancy from the perspective of adipogenesis. OBJECTIVES This work aims to develop a model to predict 1 year excess weight loss percentage (EWL)% following LSG in Chinese patients with obesity by examining the DNA methylation profiles of intraoperative visceral fat. SETTING University hospital, Beijing, China. METHODS Firstly, we classified patients with obesity as either the satisfied group or unsatisfied group depending on whether their EWL% was 50% or higher at 1 year following LSG. After that, we analyzed differentially methylated sites (DMSs) between the satisfied group and unsatisfied group. DMSs were mapped to the corresponding differentially methylated genes. Then, we took the intersection of adipogenesis-related genes and differentially methylated genes and obtained adipogenesis-related DMSs. Next, hub methylation sites were identified by least absolute shrinkage and selection operator analysis. Finally, a nomogram was developed to predict EWL% of Chinese patients with obesity at 1 -year following LSG. RESULTS A total of 26 patients with obesity were enrolled in the study, including 13 in the satisfied group and 13 in the unsatisfied group. A total of 16 genes and 31 DMSs were involved in the adipogenesis signaling pathway. Finally, 4 hub methylation sites (cg06093355, cg00294552, cg00753924, and cg17092065) were identified and a predictive nomogram was established. CONCLUSIONS The predictive nomogram based on methylation sites including cg06093355, cg00294552, cg00753924, and cg17092065 can predict EWL% at 1 year following LSG in Chinese patients with obesity efficiently.
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Affiliation(s)
- Zhehong Li
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Guanyang Chen
- Department of General Surgery, Peking University Ninth School of Clinical Medicine, Beijing, China
| | - Qing Sang
- Department of General Surgery, Peking University Ninth School of Clinical Medicine, Beijing, China
| | - Liang Wang
- Department of General Surgery, Peking University Ninth School of Clinical Medicine, Beijing, China
| | - Qiqige Wuyun
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Zheng Wang
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Buhe Amin
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Dongbo Lian
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
| | - Nengwei Zhang
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
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12
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Feng YL, Lin YC, Chen CC. The effect of smartwatch head shape on visual imagery perception. PLoS One 2023; 18:e0290259. [PMID: 37616305 PMCID: PMC10449173 DOI: 10.1371/journal.pone.0290259] [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: 03/29/2023] [Accepted: 08/07/2023] [Indexed: 08/26/2023] Open
Abstract
Obesity-related diseases have been on the rise, making it important to promote physical activity. Smart sports watches are popular among young people and can play a role in this regard. This study aims to evaluate the impact of different watch head design types on the visual image of smart sports watches. Based on sales data, seven sports smartwatches with sales of over 2000 units were selected from a sample of 50 as representative samples. A factor analysis and questionnaire survey were used to identify four groups of adjectives that describe watch heads: Sporty and Smart, precious and exquisite, distinctive and avant-garde, and trendy and technological. College students evaluated the seven watches using these adjectives, and using triangular fuzzy mathematics theory, the watches were divided into three categories. The results show that the seven watches had significant differences in appearing "Sporty and Smart" and "precious and exquisite", while the visual imagery of "distinctive and avant-garde" and "trendy and technological" had no significant difference. Based on the grouping analysis of the seven samples, it is concluded that: the slim and compact shape without excessive decoration has a sense of sportiness and simplicity; the square shape combined with left and right buttons has a sense of sportiness and fashion; the unique connection between the round shape, the watch strap, and the watch head, as well as the strong mechanical feeling, have a sense of value. To substantiate the validity of our research findings, we devised three novel specimens based on the morphological elements of sports watches and conducted surveys accordingly. Statistical analysis revealed a fundamental coherence between the performance of these specimens in four stylistic domains and the expression of style-forming elements, confirming the reference value of these findings in the stylistic design of sports smartwatches. This study provides designers with references for improving the design and development efficiency of smart sports watches, promoting their sustainable development.
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Affiliation(s)
- Yu-Liang Feng
- School of Art and Design, Jiangsu University of Technology, Jiang Su, China
- Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan
| | - Yang-Cheng Lin
- Department of Industrial Design, National Cheng Kung University, Tainan, Taiwan
| | - Chun-Chin Chen
- Department of Industrial Design, National Kaohsiung Normal University, Kaohsiung, Taiwan
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13
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Tian Y, Zhao Z, Cao X, Kang Y, Wang L, Yin P, Song Y, Zhang L, Wang X, Chen Z, Zheng C, Liu M, Fang Y, Zhang M, He Y, Hu Z, Cai J, Gu R, Huang Y, Pei X, Yu X, Wang Z, Zhou M. Rapid increasing burden of diabetes and cardiovascular disease caused by high body mass index in 1.25 million Chinese adults, 2005-2018. MED 2023; 4:505-525.e3. [PMID: 37369198 DOI: 10.1016/j.medj.2023.05.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 04/19/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023]
Abstract
BACKGROUND Temporal trends and geographical variations in disease burden for diabetes mellitus (DM) and cardiovascular disease (CVD) attributable to high body mass index (BMI) in China have not been fully elucidated. METHODS We estimated deaths and years of life lost (YLLs) for DM and CVD attributable to high BMI by age, sex, year, and region from 2005 to 2018 based on pooled data of 1.25 million adults. FINDINGS Approximately 497,430 (95% uncertainty interval [UI], 470,520-525,720) deaths for DM and CVD were attributable to high BMI in China in 2018, with 453,750 deaths from CVD and 43,700 deaths from DM. Between 2005 and 2018, there was a 17.35% increase in age-standardized mortality rate for DM and CVD attributable to high BMI. The high BMI-related DM and CVD YLL rates increased from 127.46 (95% UI 108.70-148.62) per 100,000 people aged 20-24 years to 5,735.54 (95% UI 4,844.16-6,713.53) per 100,000 people aged ≥80 years, respectively. The highest age-standardized mortality rate for high BMI-related DM and CVD in northeast, northwest, and circum-Bohai Sea regions of China. CONCLUSION The disease burden for DM and CVD attributable to high BMI increased substantially between 2005 and 2018. Urgent measures are required at both national and regional levels for resource mobilization to slow the growing burden. FUNDING The work was supported by the National Key Research and Development Program of China, China National Science & Technology Pillar Program, and National Health Commission of the People's Republic of China.
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Affiliation(s)
- Yixin Tian
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Zhenping Zhao
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xue Cao
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Yuting Kang
- Office of National Clinical Research for Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, 100730, China; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, China
| | - Limin Wang
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Peng Yin
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yuxin Song
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Linfeng Zhang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Xin Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Zuo Chen
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Congyi Zheng
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Mingbo Liu
- Division of Health Information, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Yuehui Fang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Mei Zhang
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yuna He
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Zhen Hu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Jiayin Cai
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Runqing Gu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Yilin Huang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Xuyan Pei
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Xue Yu
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China
| | - Zengwu Wang
- Division of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research Center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 102308, China.
| | - Maigeng Zhou
- National Center for Chronic Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
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Zhong VW, Yu D, Zhao L, Yang Y, Li X, Li Y, Huang Y, Ding G, Wang H. Achievement of Guideline-Recommended Targets in Diabetes Care in China : A Nationwide Cross-Sectional Study. Ann Intern Med 2023; 176:1037-1046. [PMID: 37523704 DOI: 10.7326/m23-0442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
BACKGROUND Nationwide achievement of guideline-recommended diabetes care targets has not been comprehensively assessed in China. OBJECTIVE To estimate the proportions of adults with diabetes achieving major clinical risk factor control, body mass index (BMI), lifestyle, and dietary targets specified in the Chinese diabetes guidelines. DESIGN Nationwide cross-sectional survey. SETTING China, 2015 to 2017. PARTICIPANTS A national sample of 8401 adults with self-reported diabetes and a subset of 3531 with dietary data. MEASUREMENTS The assessed targets included 1) ABC targets (individualized hemoglobin A1c [HbA1c] target; blood pressure [BP] <130/80 mm Hg; and low-density lipoprotein cholesterol [LDL-C] level <2.6 or <1.8 mmol/L [<100 or <70 mg/dL], depending on the presence of atherosclerotic cardiovascular disease), 2) BMI below 24 kg/m2, 3) lifestyle targets (not currently smoking or drinking, guideline-recommended leisure time activity level, and sleep duration of 7 to 8 hours), and 4) dietary targets (50% to 65% of energy from carbohydrate, 15% to 20% from protein, 20% to 30% from fat, ≥14 g of fiber per 1000 kcal, and <2000 mg of sodium per day). RESULTS The proportion of adults with self-reported diabetes achieving each ABC target was 64.1% (95% CI, 61.4% to 66.8%) for HbA1c, 22.2% (CI, 20.2% to 24.1%) for BP, and 23.9% (CI, 21.9% to 25.9%) for LDL-C. The proportion achieving a BMI below 24 kg/m2 was 32.2% (CI, 30.3% to 34.2%). The proportion achieving each lifestyle target was 75.8% (CI, 73.9% to 77.7%) for smoking, 66.7% (CI, 64.4% to 69.1%) for drinking, 17.9% (CI, 15.8% to 20.1%) for leisure time activity, and 52.0% (CI, 49.6% to 54.3%) for sleep duration. The proportion achieving each dietary target was 39.1% (CI, 36.0% to 42.2%) for carbohydrate, 20.1% (CI, 16.9% to 23.3%) for protein, 20.5% (CI, 17.6% to 23.4%) for fat, 9.0% (CI, 7.0% to 10.9%) for sodium, and 2.5% (CI, 1.3% to 3.6%) for fiber. Only 4.4% (CI, 3.5% to 5.2%) of participants achieved all 3 ABC targets, 5.1% (CI, 4.3% to 6.0%) achieved all 4 lifestyle targets, and 4 participants achieved all 5 dietary targets. LIMITATIONS Self-reported data and age of the data. CONCLUSION Achievement of guideline-recommended diabetes care targets in Chinese adults with self-reported diabetes was exceedingly low. The findings highlight the need for immediate national health actions to improve diabetes care. PRIMARY FUNDING SOURCE Shanghai Municipal Education Commission, National Key R&D Program of the People's Republic of China, and the National Health Commission of the People's Republic of China.
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Affiliation(s)
- Victor W Zhong
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China (V.W.Z., X.L., Y.H.)
| | - Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (D.Y., L.Z., Y.Y., Y.L., G.D.)
| | - Liyun Zhao
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (D.Y., L.Z., Y.Y., Y.L., G.D.)
| | - Yuxiang Yang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (D.Y., L.Z., Y.Y., Y.L., G.D.)
| | - Xiaoguang Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China (V.W.Z., X.L., Y.H.)
| | - Yuge Li
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (D.Y., L.Z., Y.Y., Y.L., G.D.)
| | - Yue Huang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China (V.W.Z., X.L., Y.H.)
| | - Gangqiang Ding
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China (D.Y., L.Z., Y.Y., Y.L., G.D.)
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, and Institute of Digital Medicine, Shanghai Jiao Tong University, Shanghai, China (H.W.)
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15
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Li Q, Huang G, Pei X, Tang X, Zhang R, Huang Y, Liu Z, Yi R, Xing C, Zhang X, Guo T. The Effect of Catgut Embedding at Acupoints Versus Nonacupoints in Abdominal Obesity: Protocol for a Multicenter, Double-Blind, 16-Week Randomized Controlled Trial. JMIR Res Protoc 2023; 12:e46863. [PMID: 37428535 PMCID: PMC10366970 DOI: 10.2196/46863] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/13/2023] [Accepted: 05/15/2023] [Indexed: 07/11/2023] Open
Abstract
BACKGROUND Obesity is an increasing problem worldwide. The effective treatments for obesity mainly include diet, physical activity, behavioral intervention, pharmacotherapy, and bariatric surgery, which all have certain limitations. As a specific type of acupuncture therapy, acupoint catgut embedding (ACE) has gained substantial attention in the management of obesity in recent years. Previous studies suggested that ACE may be an effective obesity treatment. However, the evidence for the efficacy of ACE in abdominal obesity (AO) remains inadequate due to the paucity of high-quality studies. OBJECTIVE This study aims to investigate the difference in the effectiveness of catgut embedding at acupoints and catgut embedding at nonacupoints in patients with AO and to further validate the efficacy and safety of ACE for AO. METHODS This is a multicenter, double-blind, 16-week randomized controlled trial. A total of 92 eligible participants with AO will be randomly divided into 2 groups (1:1 allocation ratio). The ACE group will receive catgut embedding at acupoints and the control group will receive catgut embedding at nonacupoints. The intervention will be performed every 2 weeks for a total of 6 sessions. Follow-up will be performed every 2 weeks for a total of 2 visits. The primary outcome is waist circumference. Secondary outcomes include body weight, BMI, hip circumference, and the visual analog scale of appetite. Upon the completion of the trial, we will evaluate the effect of catgut embedding at acupoints or nonacupoints on obesity indicators in patients with AO. For treatment outcomes, an intention-to-treat analysis will be performed. RESULTS The start of recruitment began in August 2019 and is expected to end in September 2023. CONCLUSIONS Although studies have been conducted to demonstrate the effectiveness of ACE in the treatment of obesity, the evidence for the efficacy of ACE in AO remains insufficient due to the quality of the studies. This rigorous normative randomized controlled trial will verify the effect of catgut embedding at acupoints or nonacupoints in patients with AO. The findings will provide credible evidence as to whether ACE is an effective and safe treatment for AO. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR1800016947; https://tinyurl.com/2p82257p. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/46863.
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Affiliation(s)
- Qifu Li
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Gaoyangzi Huang
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Xianmei Pei
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Xin Tang
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Renrui Zhang
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Ya Huang
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Zili Liu
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Rong Yi
- Department of Acupuncture and Moxibustion, Kunming Hospital of Traditional Chinese Medicine, Kunming, China
| | - Chonghui Xing
- Department of Acupuncture and Moxibustion, The Sports Trauma Specialist Hospital of Yunnan Province, Kunming, China
| | - Xinghe Zhang
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
| | - Taipin Guo
- School of Second Clinical Medicine, The Second Affiliated Hospital, Yunnan University of Chinese Medicine, Kunming, China
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16
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Feng Q, Fan CQ, Wang JJ, Wang H, Wu DM, Nassis GP, Wang M, Wang HJ. The effects of green space and physical activity on muscle strength: a national cross-sectional survey with 128,759 Chinese adults. Front Public Health 2023; 11:973158. [PMID: 37265516 PMCID: PMC10230031 DOI: 10.3389/fpubh.2023.973158] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Accepted: 03/31/2023] [Indexed: 06/03/2023] Open
Abstract
Background Muscle strength is closely related to chronic noncommunicable diseases; specifically, a decline in handgrip strength (HS) is predominant globally. Exposure to green space-built environment components used for health intervention-reportedly decreases the risk of certain diseases and all-cause mortality. However, evidence in this area is limited. Objective We aimed to explore the association between green space exposure and muscle strength and ascertain the combined effect of physical activity and green space exposure on muscle strength. Method Data from 128,759 participants (aged 20-79 years) were obtained using a complex stratified multistage probability cluster sampling design. The green space was assessed as normalized difference vegetation index (NDVI) data for a 500-m buffer zone based on the geolocation information of sampling sites. We used a questionnaire to investigate transportation, occupation, physical activity, leisure-time exercise behaviors, and sedentary time within a usual week of the preceding year. The outcome was low relative HS, defined as HS-to-body weight ratio, and the percentage of men and women with relative HS in the lower third. We defined adequate physical activity as 150 min of moderate-intensity or 75 min of vigorous physical activity per week and calculated the weighted proportion of participants with insufficient physical activity. Categorical variables of NDVI and physical activity were used as exposure variables and their interrelationship was evaluated in a generalized linear mixed model (GLMM) to estimate the odds ratios (ORs) and 95% confidence intervals (95% CI). We measured interaction on an additive or multiplicative scale using a GLMM to test the interaction between green space exposure and physical activity. All analyses were performed for the total sample and subgroups (urban and rural). Result The high NDVI group had a lower risk of low relative HS than the low NDVI group (OR [95% CI]: 0.92 [0.88-0.95]). The sufficient physical activity group had a lower risk of low relative HS than the insufficient physical activity group (OR [95% CI]: 0.85 [0.81-0.88]). There was an interactive effect on the additive scale (relative excess risk owing to interaction: 0.29, 95% CI 0.22-0.36, p < 0.001) between green space exposure and physical activity. Conclusion High NDVI and adequate physical activity were protective factors against low relative HS in Chinese adults. Increasing green space exposure and physical activity together may have a greater potentiating effect on muscle strength improvement than these two protective factors individually. Green spaces should be incorporated into city design or built environments.
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Affiliation(s)
- Qiang Feng
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Chao-Qun Fan
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Jing-Jing Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Huan Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Dong-Ming Wu
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - George P. Nassis
- Physical Education Department–College of Education (CEDU), United Arab Emirates University, Al Ain, United Arab Emirates
- Department of Sports Science and Clinical Biomechanics, SDU Sport and Health Sciences Cluster, University of Southern Denmark, Odense, Denmark
| | - Mei Wang
- Department of National Fitness and Scientific Exercise Research Center, China Institute of Sport Science, Beijing, China
| | - Hai-Jun Wang
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
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Wu S, Xu W, Guan C, Lv M, Jiang S, Jinhua Z. Global burden of cardiovascular disease attributable to metabolic risk factors, 1990-2019: an analysis of observational data from a 2019 Global Burden of Disease study. BMJ Open 2023; 13:e069397. [PMID: 37173115 DOI: 10.1136/bmjopen-2022-069397] [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] [Indexed: 05/15/2023] Open
Abstract
OBJECTIVES An up-to-date, detailed global analysis of the current status of the metabolic-attributed cardiovascular disease (CVD) burden has not been reported. Therefore, we investigated the global burden of metabolic-attributed CVD and its association with socioeconomic development status over the past 30 years. METHODS Data on the burden of metabolic-attributed CVD were taken from the 2019 Global Burden of Disease (GBD) study. Metabolic risk factors of CVD included high fasting plasma glucose, high low-density lipoprotein cholesterol (LDL-c), high systolic blood pressure (SBP), high body mass index (BMI) and kidney dysfunction. Numbers and age-standardised rates (ASR) of disability-adjusted life-years (DALYs) and deaths were extracted and stratified by sex, age, Socio-demographic Index (SDI) level, country and region. RESULTS The ASR of metabolic-attributed CVD DALYs and deaths decreased by 28.0% (95% UI 23.8% to 32.5%) and 30.4% (95% UI 26.6% to 34.5%), respectively, from 1990 to 2019. The highest burden of metabolic-attributed total CVD and intracerebral haemorrhage was mainly in low SDI locations, while the highest burden of ischaemic heart disease and IS was mainly in high SDI locations. The burden of DALYs and deaths in CVD was higher in men than women. In addition, the number and ASR of DALYs and deaths were highest in those over 80 years old. CONCLUSION Metabolic-attributed CVD threatens public health, especially in low-SDI locations and among the elderly. Low SDI location should strengthen the control of metabolic factors such as high SBP, high BMI, and high LDL-c and increase the knowledge of metabolic risk factors for CVD. Countries and regions should enhance screening and prevention of metabolic risk factors of CVD in the elderly. Policy-makers should use 2019 GBD data to guide cost-effective interventions and resource allocation.
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Affiliation(s)
- Shuyi Wu
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Wenlin Xu
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Chengfu Guan
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
| | - Meina Lv
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shaojun Jiang
- Department of Pharmacy, First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zhang Jinhua
- Department of Pharmacy, Fujian Maternity and Child Health Hospital College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China
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18
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Yin C, Liu J, Sun B. Effects of built and natural environments on leisure physical activity in residential and workplace neighborhoods. Health Place 2023; 81:103018. [PMID: 36996594 DOI: 10.1016/j.healthplace.2023.103018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 03/20/2023] [Accepted: 03/20/2023] [Indexed: 03/31/2023]
Abstract
Few studies have investigated relative contributions of the built and natural environments to and their nonlinear associations with leisure physical activity (PA) in different spatial contexts. Applying gradient boosting decision tree models to data comprising 1049 adults collected in Shanghai, we investigated the associations between built and natural environments and leisure PA in residential and workplace neighborhoods. Results show that the built environment is more important than the natural environment to leisure PA in both residences and workplaces. Environmental attributes have nonlinear and threshold effects. Within certain ranges, land use mix and population density have opposite associations with leisure PA in residences and workplaces, whereas the distance to the city center and the area of water are associated with leisure PA in residences and workplaces with the same direction. These findings help urban planners design context-specific environmental interventions for supporting leisure PA.
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Qu Y, Liu J, Li J, Shen S, Chen X, Tang H, Yuan Y, Xia C, Deng L, Chen G, Zheng T, Chen J, Nie L, Yuan F, Tong N, Peng L, Song B. Association of abdominal adiposity, hepatic shear stiffness with subclinical left-ventricular remodeling evaluated by magnetic resonance in adults free of overt cardiovascular diseases: a prospective study. Cardiovasc Diabetol 2023; 22:99. [PMID: 37120545 PMCID: PMC10149007 DOI: 10.1186/s12933-023-01828-1] [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: 08/08/2022] [Accepted: 04/06/2023] [Indexed: 05/01/2023] Open
Abstract
BACKGROUND Abdominal ectopic fat deposition and excess visceral fat depots in obesity may be related to cardiovascular disease (CVD) as both are involved in the metabolic syndrome (MetS). The awareness of the link between abdominal adiposity and subclinical cardiac remodeling would help improve treatment and outcome. Besides, liver fibrosis has also shown a potential relationship with cardiac dysfunction. Thus, we aimed to investigate the associations of magnetic resonance (MR)-based abdominal adiposity and hepatic shear stiffness with subclinical left ventricular (LV) remodeling while taking account of MetS-related confounders in adults free of overt CVD. METHODS This was an exploratory, prospective study of 88 adults (46 subjects with obesity, 42 healthy controls) who underwent 3 T cardiac and body MR exams. Measures of abdominal MR included hepatic and pancreatic proton density fat fraction (H-PDFF and P-PDFF), hepatic shear stiffness by MR elastography, and subcutaneous and visceral adipose tissue (SAT and VAT). Cardiac measures included epicardial adipose tissue (EAT) and parameters of LV geometry and function. Associations were assessed using Pearson correlation and multivariable linear regression analyses, in which age, sex, and MetS-related confounders were adjusted for. RESULTS The LV ejection fractions of all participants were within the normal range. Higher H-PDFF, P-PDFF, SAT and VAT were independently associated with lower LV global myocardial strain parameters (radial, circumferential and longitudinal peak strain [PS], longitudinal peak systolic strain rate and diastolic strain rate) (β = - 0.001 to - 0.41, p < 0.05), and P-PDFF, SAT and VAT were independently and positively associated with LV end-diastolic volume and stroke volume (β = 0.09 to 3.08, p ≤ 0.02) in the over-all cohort. In the obesity subgroup, higher P-PDFF and VAT were independently associated with lower circumferential and longitudinal PS, respectively (β = - 0.29 to - 0.05, p ≤ 0.01). No independent correlation between hepatic shear stiffness and EAT or LV remodeling was found (all p ≥ 0.05). CONCLUSIONS Ectopic fat depositions in the liver and pancreas, and excess abdominal adipose tissue pose a risk of subclinical LV remodeling beyond MetS-related CVD risk factors in adults without overt CVD. VAT may play a more considerable role as a risk factor for subclinical LV dysfunction than does SAT in individuals with obesity. The underlying mechanisms of these associations and their longitudinal clinical implications need further investigation.
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Affiliation(s)
- Yali Qu
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Jing Liu
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Jing Li
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Sumin Shen
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Xiaoyi Chen
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Hehan Tang
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Yuan Yuan
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Liping Deng
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Guoyong Chen
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Tianying Zheng
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Jie Chen
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Lisha Nie
- GE Healthcare, MR Research China, Beijing, China
| | - Fang Yuan
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, West China Hospital of Sichuan University, Chengdu, Sichuan, China
| | - Liqing Peng
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China.
| | - Bin Song
- Department of Radiology, West China Hospital of Sichuan University, Sichuan, Chengdu, China.
- Department of Radiology, Sanya People's Hospital, Hainan, Sanya, China.
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20
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Pan L, Shi K, Lv J, Pang Y, Guo Y, Pei P, Du H, Millwood I, Yang L, Chen Y, Gao R, Yang X, Avery D, Chen J, Yu C, Chen Z, Li L. Association of dietary patterns, circulating lipid profile, and risk of obesity. Obesity (Silver Spring) 2023; 31:1445-1454. [PMID: 37037666 DOI: 10.1002/oby.23720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 12/08/2022] [Accepted: 01/01/2023] [Indexed: 04/12/2023]
Abstract
OBJECTIVE The aim of this study was to simultaneously explore the associations of major dietary patterns (DP) with lipid profiles and the associations of these profiles with general and central obesity risks and to evaluate the extent to which the metabolites mediate such associations. METHODS Habitual food consumption of 4778 participants with an average age of 47.0 from the China Kadoorie Biobank was collected using a 12-item food frequency questionnaire. Plasma samples were analyzed via targeted nuclear magnetic resonance (NMR) spectroscopy to quantify 129 lipid-related metabolites. Anthropometric information was measured by trained staff. RESULTS Two DPs were derived by factor analysis. The newly affluent southern pattern was characterized by high intakes of rice, meat, poultry, and fish, whereas the balanced pattern was characterized by consuming meat, poultry, fish, fresh fruit, fresh vegetables, dairy, eggs, and soybean. The newly affluent southern pattern was positively associated with 45 metabolites, which were positively associated with risks of obesity at the same time. The global lipid profile potentially explained 30.9%, 34.7%, and 53.1% of the effects of this DP on general obesity, waist circumference-defined central obesity, and waist-hip ratio-defined central obesity, respectively. CONCLUSIONS The newly affluent southern pattern points to an altered lipid profile, which showed higher general and central obesity risks. These findings partly suggest the biological mechanism for the obesogenic effects of this DP.
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Affiliation(s)
- Lang Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Kexiang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Yuanjie Pang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yu Guo
- Fuwai Hospital Chinese Academy of Medical Sciences, National Center for Cardiovascular Diseases, Beijing, China
| | - Pei Pei
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Huaidong Du
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Millwood
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ling Yang
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Yiping Chen
- Medical Research Council Population Health Research Unit at the University of Oxford, Oxford, UK
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Ruqin Gao
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Xiaoming Yang
- Qingdao Municipal Center for Disease Control and Prevention, Qingdao, China
| | - Daniel Avery
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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21
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Ling R, Xu Y. Comparative analysis of the growth and development differences of children and adolescents between developed and undeveloped urban and rural areas in China. Am J Hum Biol 2023; 35:e23828. [PMID: 36322449 DOI: 10.1002/ajhb.23828] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 09/20/2022] [Accepted: 10/21/2022] [Indexed: 11/06/2022] Open
Abstract
OBJECTIVES Our study use the height and weight data of Chinese students aged 7-18 years from 1985 to 2014 to investigate the inequality and changing trend of height and weight of children and adolescents in different regions. METHODS Our study extracted data from the 1985, 2000, and 2014 Chinese National Survey on Students' Constitution and Health (CNSSCH) for a comparative analysis of the height and weight of children and adolescents aged 7-18 years in a developed city (Shanghai) and an underdeveloped province (Guizhou). The coefficients of variation (CVs) of height and weight between urban and rural boys and girls were also calculated. RESULTS Since 1985, the height difference between urban and rural areas has decreased from 4.24 to 2.41 cm for boys and 3.72 to 1.99 cm for girls. The weight difference for boys and girls increased from 1.83 to 3.10 kg and from 0.97 to 1.80 kg, respectively. However, from 1985 to 2014, the height and weight differences between Shanghai and Guizhou increased. In addition, from 1985 to 2014, the coefficient of height variation was greater for rural students than urban students while the coefficient of weight variation was greater for urban students than rural students. CONCLUSIONS Although the difference between urban and rural areas has recently decreased, the difference between developed area (Shanghai) and underdeveloped area (Guizhou) has increased. In particular, the difference in height and weight between children in developed areas (Shanghai) and non-developed areas (Guizhou) has become larger since 1985-2014, rather than gradually decreasing over time.
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Affiliation(s)
- Ruizhe Ling
- School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
| | - Yong Xu
- School of Public Health, Medical College of Soochow University, Suzhou, People's Republic of China
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Su Y, Li X, Li H, Xu J, Xiang M. Association between Sedentary Behavior during Leisure Time and Excessive Weight in Chinese Children, Adolescents, and Adults. Nutrients 2023; 15:424. [PMID: 36678295 PMCID: PMC9867297 DOI: 10.3390/nu15020424] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 01/02/2023] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
(1) Background: Sedentary behavior is increasing in all age groups and is one of the most common lifestyles that is a risk factor for overweight and obesity; however, few studies have evaluated the impact of leisure-time sedentary behavior on overweight and obesity. This study aims to examine the distribution characteristics of different leisure-time sedentary behaviors and their effects on excessive weight in different age groups in the Chinese population to provide evidence for the development of behavioral interventions. (2) Methods: This study utilizes data from the 2004 to 2011 China Health and Nutrition Survey (CHNS). Participants ranged in age from 6 to 18 years or older and were from China. Weight and height were measured in the physical examination, and the sedentary behavior times during leisure periods were collected by using a questionnaire. Logistic regression models were performed for association analyses. (3) Results: A total of 36,169 participants were included in this study. The impact of screen-based sedentary leisure time on excessive weight is greater in middle-aged and older adults. For middle-aged adults, sedentary time periods spent on the Internet or video games were found to be significantly and positively associated with excessive weight (OR, 1.122, 95% CI, 1.005-1.253). In addition, for older adults, sedentary time periods spent watching television or videos were found to be significantly and positively associated with excessive weight (OR, 1.065, 95% CI, 1.035-1.095). (4) Conclusions: This study helps grasp the target population and provide evidence for the development of behavioral intervention guidelines.
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Affiliation(s)
- Ya Su
- School of Nursing, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Xueyuan Li
- Health Commission of Shanghai Huangpu, Shanghai 200025, China
| | - Huilun Li
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiawei Xu
- Eye and Dental Diseases Prevention and Treatment Center of Pudong New Area, Shanghai 200025, China
| | - Mi Xiang
- Minister of Education-Shanghai Key Laboratory of Children’s Environmental Health, School of Public Health, Shanghai Jiao Tong University, Shanghai 200025, China
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Wang Q, Qian J, Pan H, Ju Q. Relationship between body composition and upper limb physical fitness among Chinese students: 4-Year longitudinal follow-up and experimental study. Front Physiol 2023; 14:1104018. [PMID: 36935754 PMCID: PMC10020539 DOI: 10.3389/fphys.2023.1104018] [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: 12/07/2022] [Accepted: 02/22/2023] [Indexed: 03/06/2023] Open
Abstract
Background: Recently, students' fitness has been declining, and high physical fitness level is crucial in establishing optimal physical/mental health and academic performance. The purpose of this study was to explore the relationship between body composition and upper limb physical fitness and the specific aspects of low physical fitness level in Chinese students. Exploring the development and impact factors for upper limb physical fitness can provide a theoretical basis for the health management strategy of students. Methods: Study 1 collected data from 183 male students over 4 years and used Hierarchical Linear Model (HLM) to explore the quadratic predictive role of body composition on upper limb physical fitness. To further explored which aspects of upper limb physical fitness were affected by body composition, study 2 conducted an experimental investigation among 42 male students, comparing different kinds of upper limb physical fitness within two different body composition groups. Results: Studies found (1) from 2015 to 2018, students' Body-Mass-Index (BMI) showed an upward trend, and BMI differences were significant from year to year. While the upper limb physical fitness showed a downward trend. There were significant differences in the number of pull-outs between 2015 and 2016, 2015 and 2017, and 2015 and 2018. (2) The quadratic term of BMI could predict the upper body physical fitness in the same year and the following year. That is, when BMI was medium, the upper body fitness of the same year and the following year was the best. (3) Chinese students with excellent body composition had greater grip strength, drape height and anaerobic power than those with average body composition. Conclusion: In recent years, male students' BMI has been increasing, and the upper body physical fitness has been decreasing. Furthermore, body composition can predict the upper body mass in the same year and the second year, and male students with better body composition also had greater grip strength, drape height and anaerobic power in their upper limbs.
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Affiliation(s)
- Qingmei Wang
- Tianjin College, Beijing University of Science and Technology, Tianjin, China
| | - Junwei Qian
- Department of Physical Education, Peking University, Beijing, China
| | - Haoran Pan
- The School of Health Humanities, Peking University, Beijing, China
| | - Qianqian Ju
- School of Psychological and Cognitive Sciences, Peking University, Beijing, China
- *Correspondence: Qianqian Ju,
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Kwon DH, Cho YG, Park HA, Koo HS. The Difference in the Prevalence of Metabolic Syndrome According to Meeting Guidelines for Aerobic Physical Activity and Muscle-Strengthening Exercise: A Cross-Sectional Study Performed Using the Korea National Health and Nutrition Examination Survey, 2014-2019. Nutrients 2022; 14:nu14245391. [PMID: 36558550 PMCID: PMC9785122 DOI: 10.3390/nu14245391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 12/08/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Physical activity and muscle strengthening are essential for preventing and managing metabolic syndrome. This study was conducted to investigate the relationship between the prevalence of metabolic syndrome and meeting the guidelines for aerobic physical activity (APA), muscle strengthening exercise (MSE), and combined exercise. We used data from 22,467 Koreans aged 40 years or older, who participated in in the Korea National Health and Nutrition Examination Survey (KNHANES) 2014-2019. We used the Global Physical Activity Questionnaire (GPAQ) to measure physical activity and surveyed frequency of MSE through a questionnaire. Metabolic syndrome was defined according to the American heart association and the National Heart, Lung, and Blood Institute. Compared with none exercise group, odds ratios of APA, MSE, and combined exercise group (CEG) on metabolic syndrome prevalence were 0.85 (95% confidence interval (CI), 0.74-0.98), 0.81 (95% CI, 0.67-0.99), and 0.65 (95% CI, 0.54-0.78) among men, respectively. Among women, ORs of APA, MSE, and CEG were 0.83 (95% CI, 0.73-0.93), 0.73 (95% CI, 0.58-0.91), and 0.74 (95% CI, 0.58-0.93), respectively. This study showed that meeting guidelines for APA and MSE was associated with lower prevalence of metabolic syndrome. Furthermore, subjects who met both APA and MSE had the lowest metabolic syndrome prevalence.
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Affiliation(s)
- Du Ho Kwon
- Department of Health Care Management, Aerospace Medical Center, Cheongju 28187, Republic of Korea
| | - Young Gyu Cho
- Department of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul 04551, Republic of Korea
- Correspondence: ; Tel.: +82-2-2270-0097
| | - Hyun Ah Park
- Department of Family Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul 04551, Republic of Korea
| | - Ho Seok Koo
- Department of Internal Medicine, Seoul Paik Hospital, Inje University College of Medicine, Seoul 04551, Republic of Korea
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Wang H, Zhang Y. Exposure to Polybrominated Diphenyl Ethers and Phthalates in China: A Disease Burden and Cost Analysis. TOXICS 2022; 10:766. [PMID: 36548599 PMCID: PMC9782749 DOI: 10.3390/toxics10120766] [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: 10/20/2022] [Revised: 12/02/2022] [Accepted: 12/06/2022] [Indexed: 06/17/2023]
Abstract
Increasing evidence indicates that endocrine-disrupting chemicals (EDCs) cause a variety of adverse health outcomes and contribute to substantial disease burden. This study summarized the exposure status of polybrominated diphenyl ethers (PBDEs) and phthalates (PAEs) in China and evaluated the disease burden attributable to PBDEs and PAEs in 2015. The results showed that PBDE and PAE concentrations were higher in coastal areas. The disease burden attributable to PBDEs was 0.77 million cases, and the economic costs were CNY 18.92 billion. Meanwhile, 3.02 million individuals suffered from diseases attributable to PAEs, and the economic costs were CNY 49.20 billion. The economic burden caused by PBDEs and PAEs accounted for 0.28% and 0.72% of China's Gross Domestic Product (GDP) in 2015, respectively. When comparing China's results from 2010, it was determined that the GDP ratio of economic costs caused by PAEs in 2015 (0.72%) was lower than in 2010 (1.42%). Finally, compared with the results of the European Union and North America, the GDP ratios of economic costs caused by PAEs in 2015 were 0.19% in Canada (lower than China), 0.29% in the United States (lower than China), and 1.44% in the European Union (higher than China). This study provides important reference values for China's health governance, and further research should be conducted in the future.
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Affiliation(s)
- Hang Wang
- Key Lab of Health Technology Assessment, National Health Commission of the People’s Republic of China (Fudan University), Shanghai 200032, China
- Key Laboratory of Public Health Safety, Ministry of Educational, School of Public Health, Fudan University, Shanghai 200032, China
| | - Yunhui Zhang
- Key Lab of Health Technology Assessment, National Health Commission of the People’s Republic of China (Fudan University), Shanghai 200032, China
- Key Laboratory of Public Health Safety, Ministry of Educational, School of Public Health, Fudan University, Shanghai 200032, China
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26
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Hua R, Xiong J, Li G, Zhu Y, Ge Z, Ma Y, Fu M, Li C, Wang B, Dong L, Zhao X, Ma Z, Chen J, Gao X, He C, Wang Z, Wei W, Wang F, Gao X, Chen Y, Zeng Q, Xie W. Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score. Age Ageing 2022; 51:6936402. [PMID: 36580391 DOI: 10.1093/ageing/afac282] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 09/08/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) dementia risk score is a recognised tool for dementia risk stratification. However, its application is limited due to the requirements for multidimensional information and fasting blood draw. Consequently, an effective and non-invasive tool for screening individuals with high dementia risk in large population-based settings is urgently needed. METHODS a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score was developed and internally validated by a medical check-up dataset included 271,864 participants in 19 province-level administrative regions of China, and externally validated based on an independent dataset included 20,690 check-up participants in Beijing. The performance for identifying individuals with high dementia risk (CAIDE dementia risk score ≥ 10 points) was evaluated by area under the receiver operating curve (AUC) with 95% confidence interval (CI). RESULTS the algorithm achieved an AUC of 0.944 (95% CI: 0.939-0.950) in the internal validation group and 0.926 (95% CI: 0.913-0.939) in the external group, respectively. Besides, the estimated CAIDE dementia risk score derived from the algorithm was significantly associated with both comprehensive cognitive function and specific cognitive domains. CONCLUSIONS this algorithm trained via fundus photographs could well identify individuals with high dementia risk in a population setting. Therefore, it has the potential to be utilised as a non-invasive and more expedient method for dementia risk stratification. It might also be adopted in dementia clinical trials, incorporated as inclusion criteria to efficiently select eligible participants.
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Affiliation(s)
- Rong Hua
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing 100191, China.,PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | | | - Gail Li
- Departments of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA.,Division of Gerontology and Geriatric Medicine, University of Washington, Seattle, WA, USA
| | - Yidan Zhu
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing 100191, China.,PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Zongyuan Ge
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Yanjun Ma
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing 100191, China.,PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Meng Fu
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Chenglong Li
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing 100191, China.,PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
| | - Bin Wang
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Li Dong
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing, China
| | - Xin Zhao
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Zhiqiang Ma
- iKang Guobin Healthcare Group Co., Ltd., Beijing, China
| | - Jili Chen
- Shibei Hospital, Jingan District, Shanghai, China
| | - Xinxiao Gao
- Department of Ophthalmology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Chao He
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Zhaohui Wang
- iKang Guobin Healthcare Group Co., Ltd., Beijing, China
| | - Wenbin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing, China
| | - Fei Wang
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Xiangyang Gao
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Yuzhong Chen
- Beijing Airdoc Technology Co., Ltd., Beijing, China
| | - Qiang Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China
| | - Wuxiang Xie
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing 100191, China.,PUCRI Heart and Vascular Health Research Center at Peking University Shougang Hospital, Beijing, China
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27
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Xue L, Wang H, He Y, Sui M, Li H, Mei L, Ying X. Incidence and risk factors of diabetes mellitus in the Chinese population: a dynamic cohort study. BMJ Open 2022; 12:e060730. [PMID: 36410801 PMCID: PMC9680191 DOI: 10.1136/bmjopen-2021-060730] [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] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE Diabetes mellitus is a common condition often associated with an ageing population. However, only few longitudinal studies in China have investigated the incidence of diabetes and identified its risk factors. Therefore, this study aimed to investigate the incidence and risk factors of diabetes in Chinese people aged ≥45 years using the harmonised China Health and Retirement Longitudinal Study (CHARLS) data. DESIGN A dynamic cohort study. SETTING The harmonised CHARLS 2011-2018. PARTICIPANTS 19 988 adults aged ≥45 years. PRIMARY OUTCOME MEASURE Incident diabetes from 2011 to 2018. RESULTS The harmonised CHARLS is a representative longitudinal survey of people aged ≥45 years. Using data extracted from the harmonised CHARLS, we calculated the incidence of diabetes and used a competing risk model to determine risk factors of diabetes. In 2011-2013, 2013-2015, 2015-2018, the crude incidence of diabetes among middle-aged and older people in China was 1403.21 (1227.09 to 1604.19), 1673.22 (1485.73 to 1883.92) and 3919.83 (3646.01 to 4213.30) per 100 000 person-years, respectively, with a significant increasing trend. There were no geographical variations in the incidence of diabetes. Age, obesity and alcohol consumption were associated with an increased risk of incident diabetes. CONCLUSION The incidence of diabetes increased annually, without any geographical differences. Age, obesity and alcohol consumption were found to be risk factors for incident diabetes.
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Affiliation(s)
- Long Xue
- Department of Health Economics, Fudan University School of Public Health, Shanghai, China
| | - Huiying Wang
- Department of Medical Services, Huashan Hospital Fudan University, Shanghai, China
| | - YunZhen He
- Department of Health Economics, Fudan University School of Public Health, Shanghai, China
| | - Mengyun Sui
- Department of Health Economics, Fudan University School of Public Health, Shanghai, China
| | - Hongzheng Li
- Department of Health Economics, Fudan University School of Public Health, Shanghai, China
| | - Lin Mei
- Department of Medical Services, Huashan Hospital Fudan University, Shanghai, China
| | - Xiaohua Ying
- Department of Health Economics, Fudan University School of Public Health, Shanghai, China
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28
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Hao M, Fang Y, Yan W, Gu J, Hao Y, Wu C. Relationship between body dissatisfaction, insufficient physical activity, and disordered eating behaviors among university students in southern China. BMC Public Health 2022; 22:2054. [DOI: 10.1186/s12889-022-14515-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Accepted: 11/01/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
With an increasing incidence of obesity, the relationship between obesity and body image has become a hot research topic worldwide. From high school to university, young people experience changes in their social environment. University students have a high incidence of eating disorders and insufficient physical activity. The purpose of this study was to explore the relationship between body dissatisfaction, insufficient physical activity, and disordered eating behaviors among university students in southern China.
Methods
In total, 1296 university students aged 18–23 years were recruited for this study. The participants completed anthropometric measurements, the Physical Activity Rating scale-3 (PARS-3), and the Chinese-Dutch Eating Behavior Questionnaire (C-DEBQ). The ideal weight and silhouette were reported by university students using a questionnaire.
Results
Compared with men, young women had a higher level of body dissatisfaction. For men, body mass index (BMI; β = 0.76, P < 0.01), physical activity score (β = − 0.11, P < 0.01), and restrained eating score (β = 0.10, P < 0.01) were the significant factors predictive of body dissatisfaction. For women, BMI (β = 0.57, P < 0.01), muscle mass (β = 0.12, P < 0.01), physical activity score (β = − 0.11, P < 0.01), and restrained eating score (β = 0.09, P < 0.01) were the significant factors predictive of body dissatisfaction.
Conclusions
University students with high body dissatisfaction had lower physical activity scores and higher restrained eating scores. The data presented here highlight the impact of university students’ body dissatisfaction on physical activity deficiency and disordered eating behaviors in China.
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Tian R, Yin R, Gan F. Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo. Front Public Health 2022; 10:1027694. [PMID: 36408048 PMCID: PMC9669485 DOI: 10.3389/fpubh.2022.1027694] [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: 08/25/2022] [Accepted: 10/18/2022] [Indexed: 11/06/2022] Open
Abstract
Objectives Live-streaming fitness is perceived by the Chinese government as an invaluable means to reduce the prevalence of physical inactivity amid the COVID-19 pandemic. This study aims to investigate the public altitudes of the Chinese people toward live-streaming fitness and provide future health communication strategies on the public promotion of live-streaming fitness accordingly. Methods This study collected live-streaming fitness-related microblog posts from July 2021 to June 2022 in Weibo, the Chinese equivalent to Twitter. We used the BiLSTM-CNN model to carry out the sentiment analysis, and the structured topic modeling (STM) method to conduct content analysis. Results This study extracted 114,397 live-streaming fitness-related Weibo posts. Over 80% of the Weibo posts were positive during the period of the study, and over 85% were positive in half of the period. This study finds 8 topics through content analysis, which are fitness during quarantine; cost reduction; online community; celebrity effect; Industry; fitness injuries; live commerce and Zero Covid strategy. Conclusions It is discovered that the public attitudes toward live-streaming fitness were largely positive. Topics related to celebrity effect (5-11%), fitness injuries (8-16%), live commerce (5-9%) and Zero Covid strategy (16-26%) showed upward trends in negative views of the Chinese people. Specific health communication strategy suggestions are given to target each of the negative topics.
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30
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Gong L, Sheng J. The Current Health Belief of Exercise Conditions of Chinese College Students and Ways of Improvements: An Analysis Based on the Health Belief Model. Front Psychol 2022; 13:906297. [PMID: 35936271 PMCID: PMC9355546 DOI: 10.3389/fpsyg.2022.906297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
The purpose of this study was to discuss the differences in the parameters of exercise health beliefs among college students of different genders, and assess the relationship between demographic factors and parameters of exercise health beliefs, and examine the relationship between exercise self-efficacy and internal components of exercise health beliefs. A total of 313 Chinese college students from the Sichuan University of Arts and Science completed the exercise health belief scale voluntarily under the tutor’s explanation. The results showed that compared with female students, male students have higher perceived benefits and self-efficacy of exercise and lower perceived subjective and objective barriers. Monthly family income has a significant positive correlation with exercise self-efficacy and a negative correlation with perceived subjective barriers to exercise disorder. Exercise self-efficacy has a positively correlated with perceived benefits and perceived severity and a significant negative correlation with perceived subjective and objective barriers. From the structural equation model, we found that family income no longer significantly impacted exercise self-efficacy. Within the exercise health belief items, we found only that there were negative relationship between perceived subjective barriers and exercise self-efficacy. According to the study, our findings provide a new psychological angle for understanding the exercise condition of college students and the restraining factors and provide new insights into increasing exercise self-efficacy to lower the subjective barriers to exercise. Future studies will focus on evaluating the relationship between exercise health belief components and college Students’ physical activity levels and exercise behaviors.
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Affiliation(s)
- Lamei Gong
- Laboratory of Sports and Health Promotion, School of Physical Education, Sichuan University of Arts and Science, Dazhou, China
| | - Jiazhi Sheng
- Laboratory of Sports and Health Promotion, School of Physical Education, Sichuan University of Arts and Science, Dazhou, China
- Graduate School of Management, Management and Science University, Shah Alam, Malaysia
- *Correspondence: Jiazhi Sheng,
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31
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Wang J, Hong JT, Xiang Y, Zhang C. Do the dual-task "8-foot up and go" tests provide additional predictive value for early detection of cognitive decline in community-dwelling older women? Aging Clin Exp Res 2022; 34:2431-2439. [PMID: 35838984 DOI: 10.1007/s40520-022-02193-x] [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: 05/06/2022] [Accepted: 06/28/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND The 8-Foot Up and Go (8UG) test is a widely used mobility assessment. Some dual-task mobility assessments have been developed to help detect cognitive decline. AIMS This study developed a dual-task version of 8UG test to investigate the dual-task 8UG performance and to evaluate the ability of dual-task 8UG test in detecting cognitive decline. METHODS A total of 101 eligible community-dwelling women aged 60-74 years were grouped into the mild cognitive impairment group (MCI, n = 49) and the non-cognitive impairment group (NCI, n = 52). The 8UG tests under single-task (ST), manual dual-task (MT), and cognitive dual-task (CT) conditions were performed respectively. The dual-task cost (DTC) and the correct response rate (CRR) were calculated to quantify the dual-task interference. RESULTS Participants spent more time in performing the 8UG test under dual-task conditions. No differences were observed between NCI and MCI groups for 8UG parameters under ST and MT conditions (p > 0.05). When executing CT, significant differences were found in the number of correct answers and CRR (p < 0.05). CRR showed the strongest ability to predict MCI with a cut-off point of 0.50 (71.2% sensitivity and 61.2% specificity). DISCUSSION Both manual and cognitive dual-task were found to interfere with the 8UG performance. CRR with cutoff point of 0.50 could be a potential predictor of MCI in community-dwelling older women. CONCLUSIONS The CRR of the cognitive dual-task 8UG test could be recommended as a potential predictor for the early detection of MCI in community-dwelling older women.
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Affiliation(s)
- Jingjing Wang
- School of Exercise and Health, Shanghai University of Sport, Yangpu District, 650 Qing Yuan Huan Rd, Shanghai, 200438, China.,Shanghai Research Institute of Sports Science (Shanghai Anti-Doping Agency), Shanghai, 200030, China
| | - Jin-Tao Hong
- Shanghai Research Institute of Sports Science (Shanghai Anti-Doping Agency), Shanghai, 200030, China
| | - Yun Xiang
- School of Exercise and Health, Shanghai University of Sport, Yangpu District, 650 Qing Yuan Huan Rd, Shanghai, 200438, China.,School of Physical Education, Hubei Engineering University, Xiaogan, 432000, Hubei, China
| | - Chunhua Zhang
- School of Exercise and Health, Shanghai University of Sport, Yangpu District, 650 Qing Yuan Huan Rd, Shanghai, 200438, China.
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Effects of Mood Regulation on Sociodemographic Status, Exercise Pattern, and Physical Conditions of Chinese Adults and the Elderly. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:2034957. [PMID: 35832131 PMCID: PMC9273414 DOI: 10.1155/2022/2034957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 06/06/2022] [Accepted: 06/17/2022] [Indexed: 11/25/2022]
Abstract
Objective This study focused on mood regulations and their association with sociodemographic status, exercise pattern, and physical conditions of adults and older adults in China who did not undergo interventions. Method Data were based on the 2016 to 2018 Guangdong National Physique Monitoring data, in which 5242 participants aged 20-69 years were recruited. Multiple statistical analysis methods, such as descriptive and logistic regression analyses, were used to study each exercise motivation and its association with influencing factors, including sociodemographic characteristics, exercise measurements, and physical conditions. An exercise index for mental health was also used to investigate the number and types of people who were more likely to meet the index. Results We observed that 44.9% (2355/5242) of participants did not engage in physical exercise in this study. Only older participants (40 to 69 years old) and those with an average level of education (high school/technical secondary school) showed a significant association with exercising for mood regulation. Few people met the index that is good for mental health (16.64% [872/5242] met index 1, and 2.84% (149/5242) met index 2), and higher education showed a significant association with a reduction in the mental health burden and the prevention of depression. Conclusion This study found that motivating people to be more active and educating them on the potential mental health benefits of exercise could help them to exercise more.
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33
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Seo YB, Oh YH, Yang YJ. Current Status of Physical Activity in South Korea. Korean J Fam Med 2022; 43:209-219. [PMID: 35903044 PMCID: PMC9334717 DOI: 10.4082/kjfm.22.0099] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Revised: 06/16/2022] [Accepted: 06/25/2022] [Indexed: 11/03/2022] Open
Abstract
The health benefits of physical activity have been well established. However, more than a quarter of the adult population in the world is insufficiently active (not performing at least 150 minutes of moderate-intensity physical activity per week, 75 minutes of vigorous-intensity physical activity per week, or any equivalent combination of the two), and there has been little improvement since 2001. In South Korea, the prevalence of insufficient physical activity was 54.4% in adults and 94.1% in adolescents in 2020. There was continuous decrease in the prevalence of sufficient aerobic physical activity, from 58.3% in 2014 to 45.6% in 2020. However, daily duration of sedentary behavior increased from 7.5 to 8.6 hours in the same period. Interventions to promote physical activity are necessary in various fields including clinical and policy approaches. As physical activity has decreased during the coronavirus disease 2019 pandemic, safer and more effective strategies to promote physical activity are required.
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Affiliation(s)
- Yoo Bin Seo
- Department of Family Medicine, Wonkwang University Sanbon Hospital, Gunpo, Korea
| | - Yun Hwan Oh
- Department of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Korea
| | - Yun Jun Yang
- Department of Family Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
| | - on behalf of the Korea Interest Group of Physical Activity
- Department of Family Medicine, Wonkwang University Sanbon Hospital, Gunpo, Korea
- Department of Family Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Korea
- Department of Family Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea
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Yu L, Song P, Zhu Q, Li Y, Jia S, Zhang S, Wang Z, Zhang J. The Dietary Branched-Chain Amino Acids Transition and Risk of Type 2 Diabetes Among Chinese Adults From 1997 to 2015: Based on Seven Cross-Sectional Studies and a Prospective Cohort Study. Front Nutr 2022; 9:881847. [PMID: 35677550 PMCID: PMC9168595 DOI: 10.3389/fnut.2022.881847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 04/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background The situation is grim for the prevention and control of type 2 diabetes (T2D) and prediabetes in China. Serum and dietary branched-chain amino acids (BCAAs) were risk factors for T2D. However, there is a lack of information on trends in consumption of BCAAs and the risk of T2D associated with BCAAs intake, based on nationally representative data in China. Thus, we aimed to comprehensively describe the dietary BCAAs transition and risk of T2D, at a national level among Chinese adults from 1997 to 2015. Methods The data sources were the China Health and Nutrition Survey (CHNS) and China Nutrition and Health Survey (CNHS). Cross-sectional data on intake were obtained from CHNS (1997, n = 9,404), CHNS (2000, n = 10,291), CHNS (2004, n = 9,682), CHNS (2006, n = 9,553), CHNS (2009, n = 9,811), CHNS (2011, n = 12,686) and CNHS (2015, n = 71,695). Prospective cohort data were obtained CHNS (1997-2015, n = 15,508). Results From 1997 to 2015, there was a significant decreasing trend in the BCAAs intake of Chinese adults in all subgroups (P < 0.0001) except for Leu in 80 or older, and a decreasing trend in the consumption of BCAAs after 40 years old (P < 0.05). The mean intake of BCAAs in the population of cohort study was 11.83 ± 3.77g/day. The 95% CI was above the HR of 1.0, when the consumptions were higher than 14.01, 3.75, 6.07, 4.21 g/day in BCAAs, Ile, Leu and Val, based on RCS curves. According to the Cox proportional hazards models, Compared with individuals with BCAAs consumption of 10.65-12.37 g/day, the multivariable-adjusted HR for diabetes was 2.26 (95% CI 1.45 to 3.51) for individuals with consumption of BCAAs more than 18.52 g/day. A statistically significant positive association between BCAAs intake and risk of T2D was observed in males or participants aged 45 years and older, but not in females or participants younger than 45 years. Conclusion Our results reveal a trend toward decreased BCAAs intake in Chinese from 1997 to 2015. After 40 years of age, consumption of BCAAs declined with increasing age. Higher BCAAs intake was associated with higher risk of T2D. This relationship is more stable among men and middle-aged and elderly people.
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Affiliation(s)
- Lianlong Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Pengkun Song
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.,NHC Key Laboratory of Trace Element Nutrition, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qianrang Zhu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuqian Li
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shanshan Jia
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shixiu Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Zhihong Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Jian Zhang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China
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Liu J, Li J, Yu J, Xia C, Pu H, He W, Li X, Zhou X, Tong N, Peng L. Regional Fat Distributions Are Associated With Subclinical Right Ventricular Dysfunction in Adults With Uncomplicated Obesity. Front Cardiovasc Med 2022; 9:814505. [PMID: 35548430 PMCID: PMC9081765 DOI: 10.3389/fcvm.2022.814505] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 03/22/2022] [Indexed: 01/05/2023] Open
Abstract
Objective Obesity is a prominent public health problem that has increased cardiovascular mortality risks. However, the specific effects of obesity, independent of comorbidities, on cardiac structure and function have not been well clarified, especially those effects on the right ventricle (RV). Cardiovascular magnetic resonance (CMR) tissue tracking can assess detailed RV mechanical features. This study aimed to evaluate RV strain using CMR in uncomplicated obese adults and assess its association with fat distributions. Methods A total of 49 obese patients and 30 healthy controls were included. The RV global systolic function and strain parameters based on CMR were assessed. Body fat distributions were measured with dual X-ray absorptiometry. RV function indices of obese patients were compared with those of healthy controls. Correlations among related body fat distribution parameters and RV function indices were conducted with multivariable linear regression. Results Compared with healthy controls, the obese group had impaired RV strain with lower global longitudinal peak strain (PS), longitudinal peak systolic strain rate (PSSR), circumferential and longitudinal peak diastolic strain rates (PDSR) (all P < 0.05), while LV and RV ejection fractions were not significantly different between the two groups (P > 0.05). Multivariable linear regression analysis demonstrated that android fat% was independently associated with longitudinal PS (β = −0.468, model R2 = 0.219), longitudinal PDSR (β = −0.487, model R2 = 0.237), and circumferential PSSR (β = −0.293, model R2 = 0.086). Trunk fat% was independently associated with longitudinal PSSR (β = −0.457, model R2 = 0.209). In addition, the strongest correlations of circumferential PDSR were BMI and gynoid fat% (β = −0.278, β = 0.369, model R2 = 0.324). Conclusions Extensive subclinical RV dysfunction is found in uncomplicated obese adults. BMI, as an index of overall obesity, is independently associated with subclinical RV dysfunction. In addition, central obesity (android fat and trunk fat distributions) has a negative effect on subclinical RV function, while peripheral obesity (gynoid fat distribution) may have a positive effect on it. Clinical Trials Registration Effect of lifestyle intervention on metabolism of obese patients based on smart phone software (ChiCTR1900026476).
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Affiliation(s)
- Jing Liu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Jianqun Yu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Chunchao Xia
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Huaxia Pu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wenzhang He
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Xue Li
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Nanwei Tong
| | - Liqing Peng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
- Liqing Peng
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36
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Zhang C, Liu Y, Xu S, Sum RKW, Ma R, Zhong P, Liu S, Li M. Exploring the Level of Physical Fitness on Physical Activity and Physical Literacy Among Chinese University Students: A Cross-Sectional Study. Front Psychol 2022; 13:833461. [PMID: 35369138 PMCID: PMC8966725 DOI: 10.3389/fpsyg.2022.833461] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/15/2022] [Indexed: 11/13/2022] Open
Abstract
Physical literacy (PL) has received considerable attention in the field of physical education and physical activity (PA) worldwide. According to recent studies, the level of physical fitness (PF) among Chinese university students is gradually decreasing. This study aims to examine the impact of the PF level (fit/unfit) on PA and PL, as well as the relationships among PF, PA, and PL, in Chinese university students. Participants comprised 798 university students (390 men; mean age, 19.2 ± 1.2 years) in Chongqing, China. Participants completed the tests of vital capacity, cardiorespiratory fitness, muscular strength, and flexibility, according to the National Physical Fitness Measurement Standards Manual (NPFMSM), as well as questionnaires on PA (time spent performing PA at various intensities) and PL. The independent t-tests were conducted to examine sex differences in the evaluated variables, and the Pearson's correlation between each PF test and PL attributes and PA was calculated according to sex. In addition, the independent t-tests were conducted to determine whether the PF level had an effect on PL attributes and PA at various intensities. Significant sex differences were found in the PF domains of vital capacity, muscular strength, and aerobic fitness, with higher scores in men than in women (all p-values < 0.05), but not in the PF domain of flexibility and total PL score. Furthermore, the PF domains of muscular strength and aerobic fitness were significantly and positively correlated with the PL attributes of confidence and physical competence in both men and women, while the PF domains of vital capacity and aerobic fitness were significantly and positively correlated with the PL attribute of motivation in men. In addition, PL was significantly and positively associated with cardiorespiratory fitness, vital capacity, muscular strength, and flexibility among participants in the fit group. These findings support advocating for increased participation in PA in university students and using PL as a tool to improve PF components.
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Affiliation(s)
- Cheng Zhang
- College of Physical Education and Health Sciences, Chongqing Normal University, Chongqing, China
| | - Yong Liu
- Children's Health and Exercise Research Centre (CHERC), Sport and Health Sciences, College of Life and Environmental Sciences, University of Exeter, Exeter, United Kingdom
| | - Shuang Xu
- School of Physical Education, Chongqing University, Chongqing, China
| | - Raymond Kim-Wai Sum
- Department of Sport Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Ruisi Ma
- Department of Sport Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China.,School of Physical Education, Jinan University, Guangzhou, China
| | - Pu Zhong
- School of Physical Education, Chongqing University, Chongqing, China
| | - Shixiang Liu
- School of Physical Education, Chongqing University, Chongqing, China
| | - Minghui Li
- Department of Sport Science and Physical Education, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
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Cao Y, Lin J, Zhai K, Jiang W, Zou H, Ren H, Wang P, Gao X, Zhang M, Yu S, Zhao Y, Xuan Z, Zhang D, Liu Y, Lou X. Long-term investigation of environmental radioactivity levels and public health around the Qinshan Nuclear Power Plant, China. Sci Rep 2022; 12:4945. [PMID: 35322138 PMCID: PMC8943193 DOI: 10.1038/s41598-022-09091-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 03/16/2022] [Indexed: 11/17/2022] Open
Abstract
To evaluate the impact of the Qinshan Nuclear Power Plant (Qinshan NPP) in normal operation on the surrounding environment and population, the radioactivity levels of drinking water and the ambient environment, as well as the residents’ cancer incidence, were continuously monitored for a period of 9 years (2012–2020). All of the gross α and β radioactivity concentrations in drinking water were less than the WHO recommended values (0.5 Bq/L for gross α and 1 Bq/L for gross β). The results of ambient environment accumulated dose monitored by thermoluminescent dosimeters (TLDs) indicated that the ambient environment radioactive level around the Qinshan NPP is consistently at natural background radiation levels. The age-dependent annual effective doses due to the ingestion of tap water or exposure to the outdoor ambient environment are lower than the reference dose of 0.1 mSv/year. The corresponding excess risks are at relatively low levels. Thus, the consumption of drinking water and outdoor activities are not expected to give rise to any detectable adverse effects on the health of the public around the Qinshan NPP. For all cancers combined, the age-standardized incidence rate by the Chinese 2000 standard population of the inhabitants living around Qinshan NPP is consistent with that of Zhejiang Province as a whole. Based on current radiation risk estimates, radiation exposure is not a plausible explanation for any excess cancers observed in the vicinity of the Qinshan NPP.
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Affiliation(s)
- Yiyao Cao
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Junping Lin
- Institute of Radiation Medicine, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300192, China
| | - Kangle Zhai
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Wei Jiang
- Center for Disease Control and Prevention of Haiyan, Jiaxing, 314300, Zhejiang, China
| | - Hua Zou
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Hong Ren
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Peng Wang
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Xiangjing Gao
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Meibian Zhang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Shunfei Yu
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Yaoxian Zhao
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Zhiqiang Xuan
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Dongxia Zhang
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China
| | - Yulian Liu
- Institute of Radiation Medicine, Chinese Academy of Medical Science and Peking Union Medical College, Tianjin, 300192, China.
| | - Xiaoming Lou
- Department of Occupational Health and Radiation Protection, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, 310051, Zhejiang, China.
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Yuan L, Zhao Z, Wang J, Du M, Xiao Y, Liu L, Sun J. Decomposition and Comparative Analysis of the Prevalence of and Factors Associated With Smoking Between the Rural and Urban Elderly Population in China: A National Cross-Sectional Study. Front Public Health 2022; 10:824587. [PMID: 35372230 PMCID: PMC8968864 DOI: 10.3389/fpubh.2022.824587] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 01/31/2022] [Indexed: 11/21/2022] Open
Abstract
This study aimed to compare and analyse the differences in smoking prevalence, and knowledge, attitudes, and factors associated with smoking between the rural and urban elderly population in China. In total, 6,966 participants aged 60 and above were included in this study, which assessed their smoking-related knowledge, attitudes, and perceptions toward tobacco control. The Chi-square test and logistic regression model were used for statistical analysis, and the Fairlie model was used for decomposition analysis. The overall prevalence of smoking was 25.6%; the rate was much higher in men than in women (overall: OR = 26.234; urban: OR = 31.260; rural: OR = 23.889). The rate of correct responses to all questions on smoking problems was significantly higher among the urban elderly than the rural elderly. Further, 64.18% of the participants supported printing photos of the health hazards of smoking on the cover of cigarette packs, and the rural elderly were more supportive of this. Moreover, only 36.52% of the participants supported increasing taxation and retail price of cigarettes; the urban elderly showed more support for this. Rules about smoking at home also played an important role, especially for families where smoking was not allowed at home, but with exceptions to the rule; however, this factor was only meaningful in urban families (urban: OR = 0.117). Through the Fairlie decomposition analysis, gender (-1.62%), age (-2.03%), region (13.68%), knowing about e-cigarettes (5.17%), rules about smoking at home (3.95%), and smoking-related knowledge scores (42.85%) were found to be associated with rural-urban disparities. This study focused on the differences in smoking between urban and rural areas in China. Smoking among the urban elderly was significantly less prevalent compared with the rural population. Factors including education, region, and smoking-related knowledge need to be addressed to reduce the gap between urban and rural health hazards in China.
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Affiliation(s)
- Lei Yuan
- Department of Health Management, Second Military Medical University, Shanghai, China
- *Correspondence: Lei Yuan
| | - Zhe Zhao
- Department of Health Management, Second Military Medical University, Shanghai, China
| | - Jin Wang
- Department of Obstetrics and Gynecology, Beijing Aerospace General Hospital, Beijing, China
| | - Maolin Du
- Department of Office, Second Military Medical University, Shanghai, China
| | - Yan Xiao
- Department of Health Management, Second Military Medical University, Shanghai, China
- Department of Medical and Research, Naval Medical Center, Second Military Medical University, Shanghai, China
| | - Lijuan Liu
- Department of Health Management, Second Military Medical University, Shanghai, China
- Lijuan Liu
| | - Jinhai Sun
- Department of Health Management, Second Military Medical University, Shanghai, China
- Jinhai Sun
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Huang Y, Ng OL, Ha ASC. A Qualitative Exploration of Facilitators and Barriers to Physical Activity Participation among Chinese Retired Adults in Hong Kong. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063495. [PMID: 35329182 PMCID: PMC8955847 DOI: 10.3390/ijerph19063495] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/10/2022] [Accepted: 03/11/2022] [Indexed: 02/04/2023]
Abstract
The purpose of this study was to identify facilitators and barriers associated with physical activity participation among retired Chinese adults in Hong Kong. This study adopts an interview research design in order to generate an in-depth understanding and insights into the participants' thoughts, motivators and experiences of physical activity participation. Independent, semi-structured interviews with 10 retired participants (aged 54-74) were conducted based on an interview protocol with open-ended questions prompting the participants to describe their experiences. Transcribed texts were analysed using thematic analysis, combining both deductive and inductive analysis techniques. Common physical activities reported were walking, stretching exercise and jogging/running. Participants responded that their physical activity level increased since their retirement. We report the interview results according to the themes which emerged from the analysis: (1) physical and mental health, (2) socio-emotional factors, (3) environmental context, (4) family responsibilities. We found that the themes (1), (2) and (3) act either as a facilitator or a barrier for the participants interviewed, while theme (4) family responsibilities act as a barrier. The findings suggested that future physical activity interventions for retired Chinese adults should include more physical activity knowledge, such as the benefits to physical and mental health brought by physical activity and social elements, considering the specific challenges that participants are confronted with (from the family side).
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Affiliation(s)
- Ying Huang
- Department of Sports Science and Physical Education, Faculty of Education, The Chinese University of Hong Kong, Hong Kong 999077, China;
| | - Oi-Lam Ng
- Department of Curriculum and Instruction, Faculty of Education, The Chinese University of Hong Kong, Hong Kong 999077, China;
| | - Amy S. C. Ha
- Department of Sports Science and Physical Education, Faculty of Education, The Chinese University of Hong Kong, Hong Kong 999077, China;
- Correspondence:
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Liu J, Li J, Pu H, He W, Zhou X, Tong N, Peng L. Cardiac remodeling and subclinical left ventricular dysfunction in adults with uncomplicated obesity: a cardiovascular magnetic resonance study. Quant Imaging Med Surg 2022; 12:2035-2050. [PMID: 35284291 PMCID: PMC8899959 DOI: 10.21037/qims-21-724] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/26/2021] [Indexed: 07/30/2023]
Abstract
BACKGROUND Obesity often exists alongside comorbidities and increases the risk of heart failure and cardiovascular mortality. However, the specific effects of obesity on cardiac structure and function have not been clarified. This study set out to evaluate left ventricular (LV) geometric and functional changes using cardiovascular magnetic resonance imaging (CMR) in adults with uncomplicated obesity. METHODS Forty-eight patients with uncomplicated obesity [body mass index (BMI) mean ± SD: 29.8±2.1 kg/m2] and 25 healthy controls were included in this study. CMR was used to assess LV geometry, global systolic function, and strains, and to quantify epicardial adipose tissue (EAT). Body composition was measured by dual X-ray absorptiometry. RESULTS Compared with healthy controls, patients with obesity had increased LV size, mass, and myocardial thickness, and impaired myocardial contractility, with lower global radial, circumferential, and longitudinal peak strains (PS), and circumferential and longitudinal peak diastolic strain rates (PDSR; all P<0.05). Multivariable linear regression showed that BMI was independently associated with LV maximum myocardial thickness (LVMMT) (β=0.197, P=0.016). Visceral adipose tissue (VAT) was independently associated with LV global longitudinal PS (β=-2.684, P=0.001), and both longitudinal (β=-0.192, P=0.002) and circumferential (β=-0.165, P=0.014) PDSR. Homeostasis model assessment of insulin resistance (HOMA-IR) was mildly correlated with BMI (r=0.327) and body fat percentage (BF%) (r=0.295) in patients with obesity (all P<0.05). HOMA-IR was independently associated with LV global circumferential PS (β=-0.276, P=0.04) and PDSR (β=-0.036, P=0.026). CONCLUSIONS Extensive LV geometric remodeling and marked changes in cardiac strains were observed in adults with obesity. Tissue tracking with CMR can reveal subclinical impaired ventricular function with preserved LV ejection fraction in such patients. BMI was independently related to LV remodeling in obesity. HOMA-IR and VAT are potentially superior to BMI as predictors of subclinical dysfunction, assessed by strain, in obesity. TRIAL REGISTRY This study has been registered with the Chinese Clinical Trial Registry (ID: ChiCTR1900026476; Effect of lifestyle intervention on metabolism of obese patients based on smart phone software).
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Affiliation(s)
- Jing Liu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Jing Li
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Huaxia Pu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Wenzhang He
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoyue Zhou
- MR Collaboration, Siemens Healthineers Ltd., Shanghai, China
| | - Nanwei Tong
- Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Liqing Peng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
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Fang J, Wen Z, Ouyang J, Huang G, Liu X. The reciprocal longitudinal relationship between body mass index and subjective well-being in China. Soc Sci Med 2022; 297:114829. [DOI: 10.1016/j.socscimed.2022.114829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 02/13/2022] [Accepted: 02/15/2022] [Indexed: 10/19/2022]
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Zheng R, Xu Y, Li M, Lu J, Xu M, Wang T, Zhao Z, Wang S, Lin H, Zhang X, Bi Y, Wang W, Ning G. Pan-risk factor for a comprehensive cardiovascular health management. J Diabetes 2022; 14:179-191. [PMID: 35224859 PMCID: PMC9060018 DOI: 10.1111/1753-0407.13258] [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: 08/03/2021] [Revised: 01/19/2022] [Accepted: 01/26/2022] [Indexed: 11/30/2022] Open
Abstract
Cardiovascular diseases (CVDs) have become the leading cause of death in China. CVDs are mainly caused by multiple well-known modifiable risk factors that are affected by socioeconomic and environmental determinants, lifestyle and behavioral choices, and familial and genetic predispositions. With more risk factors proved to be associated with CVD occurrence, the concept "pan-risk factor" is proposed in this review to indicate all discovered and yet-to-be-discovered CVD risk factors for comprehensive primary prevention of CVD. Recognizing more factors and their roles in CVD development and progression is the first step in reducing the ever-increasing burden of CVD. This review is an overview of the pan-risk factor whose associations with CVD outcomes have been established. Along with the accumulation of scientific evidence, an increasing number of risk factors will be discovered and included in the list of pan-risk factors.
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Affiliation(s)
- Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaoyun Zhang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic DiseasesRuijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine TumorState Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
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Ge X, Zhang A, Li L, Sun Q, He J, Wu Y, Tan R, Pan Y, Zhao J, Xu Y, Tang H, Gao Y. Application of machine learning tools: Potential and useful approach for the prediction of type 2 diabetes mellitus based on the gut microbiome profile. Exp Ther Med 2022; 23:305. [PMID: 35340868 PMCID: PMC8931625 DOI: 10.3892/etm.2022.11234] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/09/2022] [Indexed: 12/07/2022] Open
Abstract
The gut microbiota plays an important role in the regulation of the immune system and the metabolism of the host. The aim of the present study was to characterize the gut microbiota of patients with type 2 diabetes mellitus (T2DM). A total of 118 participants with newly diagnosed T2DM and 89 control subjects were recruited in the present study; six clinical parameters were collected and the quantity of 10 different types of bacteria was assessed in the fecal samples using quantitative PCR. Taking into consideration the six clinical variables and the quantity of the 10 different bacteria, 3 predictive models were established in the training set and test set, and evaluated using a confusion matrix, area under the receiver operating characteristic curve (AUC) values, sensitivity (recall), specificity, accuracy, positive predictive value and negative predictive value (npv). The abundance of Bacteroides, Eubacterium rectale and Roseburia inulinivorans was significantly lower in the T2DM group compared with the control group. However, the abundance of Enterococcus was significantly higher in the T2DM group compared with the control group. In addition, Faecalibacterium prausnitzii, Enterococcus and Roseburia inulinivorans were significantly associated with sex status while Bacteroides, Bifidobacterium, Enterococcus and Roseburia inulinivorans were significantly associated with older age. In the training set, among the three models, support vector machine (SVM) and XGboost models obtained AUC values of 0.72 and 0.70, respectively. In the test set, only SVM obtained an AUC value of 0.77, and the precision and specificity were both above 0.77, whereas the accuracy, recall and npv were above 0.60. Furthermore, Bifidobacterium, age and Roseburia inulinivorans played pivotal roles in the model. In conclusion, the SVM model exhibited the highest overall predictive power, thus the combined use of machine learning tools with gut microbiome profiling may be a promising approach for improving early prediction of T2DM in the near feature.
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Affiliation(s)
- Xiaochun Ge
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
| | - Aimin Zhang
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
| | - Lihui Li
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
| | - Qitian Sun
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
| | - Jianqiu He
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
| | - Yu Wu
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Rundong Tan
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Yingxia Pan
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Jiangman Zhao
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Yue Xu
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Hui Tang
- Shanghai Biotecan Pharmaceuticals Co., Ltd., Shanghai 201204, P.R. China
| | - Yu Gao
- Department of Endocrinology, Affiliated Hospital of Chengde Medical University, Chengde, Hebei 067000, P.R. China
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Ma N, Dang J, Liu Y, Zhong P, Yan X, Zhang J, Dong Y, Song Y, Ma J, Lau PWC. Percentile Curves for Multiple Physical Fitness Components Among Chinese Han Children and Adolescents Aged 7-18 Years From a National Survey Based on the Total and the Normal Weight Population. Front Nutr 2022; 8:770349. [PMID: 35047541 PMCID: PMC8762235 DOI: 10.3389/fnut.2021.770349] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Accepted: 11/24/2021] [Indexed: 12/16/2022] Open
Abstract
Introduction: To develop sex- and age-specific percentile curves for seven physical fitness components for Chinese Han children and adolescents aged 7–18 years based on the total and the normal weight population using a nationally representative sample. Methods: A total of 214,228 Chinese Han children and adolescents aged 7–18 years old with all nutritional status and 161,999 with normal weight were examined. Seven physical fitness components [forced vital capacity (FVC), standing long jump (SLJ), 50-m dash, sit-and-reach (SR), grip strength (GS), body muscle strength (BMS), and endurance running (ER)] were measured, and percentile curves for each physical fitness component at the 20th, 40th, 60th, and 80th percentiles were calculated using the general additive model for location, scale, and shape (GAMLSS). Results: Physical fitness presents different characteristics in each subgroup of sex, age, and nutritional status among children and adolescents. Sex- and age-specific percentiles for the seven physical fitness components among the Chinese Han children and adolescents aged 7–18 years based on the total and the normal weight population were provided as curves. Boys performed better than girls in FVC, SLJ, 50-m dash, GS, and ER but worse in SR. The performances of FVC, SLJ, 50-m dash, GS, BMS, and ER increased with age, but the estimates of SR were at the bottom among boys aged 12 years and girls aged 11 years. The annual increments of all components were larger in boys than girls at the peak time, which was earlier in girls than boys. The gap of physical fitness components between sexes increased with age, especially during puberty (since after 11 years old). Conclusion: The present study described the percentile curves of seven physical fitness components among the Chinese Han children and adolescents based on the total and the normal weight population at the national level, which could help to chart the level of physical fitness across age span and identify the extreme populations with either health concerns or potential talents.
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Affiliation(s)
- Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.,National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.,National Health Commission Key Laboratory of Reproductive Health, 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, 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, Beijing, China
| | - Xiaojin Yan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.,National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Jingshu Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.,National Health Commission Key Laboratory of Reproductive Health, 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, 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, Beijing, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing, China.,National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Patrick W C Lau
- Department of Sport, Physical Education & Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong SAR, China.,Laboratory of Exercise Science and Health, BNU-HKBU United International College, Zhuhai, China
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Research on User Experience of Sports Smart Bracelet Based on Fuzzy Comprehensive Appraisal and SSA-BP Neural Network. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:5597662. [PMID: 35035460 PMCID: PMC8754664 DOI: 10.1155/2022/5597662] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 10/23/2021] [Accepted: 12/03/2021] [Indexed: 12/28/2022]
Abstract
Due to the marked increase in the prevalence of overweight and obesity worldwide and an environment leading to a series of chronic diseases, physical exercise is an important way to prevent chronic diseases. Additionally, a good exercise smart bracelet can bring convenience to physical exercise. Quick and accurate evaluation of smart sports bracelets has become a hot topic and draws attention from both academic researchers and public society. In the literature, the analytic hierarchy process (AHP) and entropy weight method (EWM) were used to obtain the weights from both subjective and objective perspectives, which were integrated by the comprehensive weighting method, and furthermore the performance of sports smart bracelet was evaluated through fuzzy comprehensive evaluation. Also, to avoid complex weight calculations caused by the comprehensive weighting method, machine learning methods are used to model the structure and contribute to the comprehensive evaluation process. However, few studies have investigated all previous elements in the comprehensive evaluation process. In this study, we consider all previous parts when evaluating smart sports bracelets. In particular, we use the sparrow search algorithm (SSA) to optimize the backpropagation (BP) neural network for constructing the comprehensive score prediction model of the sports smart bracelet. Results show that the sparrow search algorithm-optimized backpropagation (SSA-BP) neural network model has good predictive ability and can quickly obtain evaluation results on the premise of effectively ensuring the accuracy of the evaluation results.
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46
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Peng H, Sun M, Hu X, Han H, Su J, Peng E, Wiley J, Lommel L, Chen JL. Prevalence, awareness, and associated factors of high blood pressure among female migrant workers in Central South China. PeerJ 2022; 10:e13365. [PMID: 35535240 PMCID: PMC9078134 DOI: 10.7717/peerj.13365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Accepted: 04/10/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Although many young Chinese women migrate to urban regions for better opportunities, little is known about the prevalence and awareness of having high blood pressure (HBP) in this population. This study investigated the prevalence, awareness, and factors associated with HBP among young female migrant workers in Central South China. METHODS We conducted a cross-sectional study to identify HBP (2017 ACC/AHA guidelines) among female migrant workers aged 18-45 years in Central South China. Demographics, anthropometric measurements, hypertension-related lifestyle, awareness of HBP, and blood pressure were recorded. Logistic regression analysis was used to identify the factors associated with HBP (blood pressure ≥ 130/80 mmHg). RESULTS Overall, 232 female migrants participated in the study (mean age 34.4; standard deviation: 6.4 years). The prevalence of HBP was 27.2% (95% CI [21.6-33.2]), and 88.9% of the participants were unaware of their HBP status. Having rural medical insurance (odds ratio [OR] = 20.7; 95% confidence interval 95% CI [2.1-204.8]), awareness of having HBP (OR = 5.1; 95% CI [1.4-18.5]), physical inactivity (OR = 2.9; 95% CI [1.1-7.9]), and being overweight/obese (OR = 2.7; 95% CI [1.3-6.1]) were independently associated with HBP. CONCLUSIONS This study revealed a high prevalence of HBP among young Chinese female migrant workers, as well as a high frequency of being unaware of their condition and some associated factors (rural medical insurance, awareness of having HBP, physical inactivity, and overweight/obesity). The uncontrolled HBP among young Chinese female migrant workers suggested that health education needs further promotion in such a population.
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Affiliation(s)
- Hua Peng
- Department of Nursing, Xiangya Hospital of Central South University, Changsha, China
| | - Mei Sun
- Community Nursing Department, Xiangya Nursing School of Central South University, Hunan Women Research Association, Changsha, China
| | - Xin Hu
- Community Nursing Department, Xiangya Nursing School of Central South University, Changsha, China
| | - Huiwu Han
- Department of Cardiology, Xiangya Hospital of Central South University, Changsha, China
| | - Jing Su
- Department of Nursing, Shantou University Medical College, Shantou, China
| | - Emin Peng
- Outpatient Clinic, Xiangya Hospital of Central South University, Changsha, China
| | - James Wiley
- Institute for Health Policy Studies, University of California, San Francisco, CA, United States of America
| | - Lisa Lommel
- Department of Family Health Care Nursing, School of Nursing, University of California, San Francisco, CA, United States of America
| | - Jyu-Lin Chen
- Department of Family Health Care Nursing, School of Nursing, University of California, San Francisco, CA, United States of America
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Dai L, Wang M, Zhang KP, Wang L, Zheng HM, Li CB, Zhou WJ, Zhou SG, Ji G. Modified acupuncture therapy, long-term acupoint stimulation versus sham control for weight control: a multicenter, randomized controlled trial. Front Endocrinol (Lausanne) 2022; 13:952373. [PMID: 35966092 PMCID: PMC9365970 DOI: 10.3389/fendo.2022.952373] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 07/05/2022] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE Long-term acupoint stimulation (LAS), also called embedding acupuncture, is a modified acupuncture technique. The preliminary results have demonstrated its efficacy in body-weight control. However, the low quality of available trials limited its application. This study aimed to evaluate the efficacy and safety of LAS in body-weight control by using a randomized, parallel, sham-controlled clinical trial design. METHODS This was a randomized, single-blind, sham-controlled clinical trial including 84 adult participants (18-60 years) with a body mass index (BMI) of ≥ 24 kg/m2 conducted in three general hospitals in Shanghai, China. Participants were equally assigned to receive LAS or sham LAS (SLAS) once per 10 days, eight times in total. After completion, an additional intervention with a 3-month follow-up period was set to examine the continued effect of LAS. The primary outcome was the change in body weight from baseline to treatment endpoint within the intention-to-treat (ITT) analysis. Secondary outcomes contained changes in waist-to-hip ratio (WHR), lipid metabolism, and visceral and subcutaneous adipose tissues. RESULTS From 14 May 2018 to 03 November 2019, 84 participants out of 201 screened individuals met the eligibility criteria, were randomized, and were analyzed (42 participants in each group). From baseline to treatment endpoint, the body-weight reduction in the LAS group was significantly larger than in the sham control (net difference: 1.57 kg, 95% CI: 0.29-2.86, p = 0.012). The superior weight reduction effect persisted in the follow-up period (net difference: 3.20 kg, 95% CI: 1.17-5.21, p = 0.001). LAS therapy also showed improvement in triglyceride and subcutaneous adipose tissue (SAT) compared with sham control. One participant in the LAS group reported a slightly uncomfortable and tingling sensation after the additional intervention. No other adverse events (AEs) were documented. CONCLUSION LAS, a modified acupuncture technique, is safe and effective in body-weight control. It could be used as an alternative choice to classical acupuncture for obesity management. CLINICAL TRIAL REGISTRATION [www.chictr.org.cn], identifier [ChiCTR1800015498].
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Affiliation(s)
- Liang Dai
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Clinical Research Academy, Peking University Shenzhen Hospital, Peking University, Shenzhen, China
| | - Miao Wang
- Department of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Ke-Pei Zhang
- Department of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Lin Wang
- Department of Internal Medicine of Traditional Chinese Medicine, Shanghai Pudong New Area Peoples’ Hospital, Shanghai, China
| | - Hui-Min Zheng
- Department of Acupuncture and Moxibustion, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Chun-Bo Li
- Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wen-Jun Zhou
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shi-Gao Zhou
- Department of Internal Medicine of Traditional Chinese Medicine, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Guang Ji
- Institute of Digestive Diseases, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- *Correspondence: Guang Ji,
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Xu M, Qi Y, Chen G, Qin Y, Wu S, Wang T, Zhao Z, Xu Y, Li M, Chen L, Chen L, Chen Y, Deng H, Gao Z, Huo Y, Li Q, Liu C, Luo Z, Mu Y, Qin G, Shen F, Shi L, Su Q, Wan Q, Wang G, Wang S, Wang Y, Hu R, Xu Y, Yan L, Yang T, Yu X, Zhang Y, Zeng T, Tang X, Ye Z, Zhao J, Bi Y, Ning G, Lu J, Wang W. The Relative Body Weight Gain From Early to Middle Life Adulthood Associated With Later Life Risk of Diabetes: A Nationwide Cohort Study. Front Endocrinol (Lausanne) 2022; 13:927067. [PMID: 35928888 PMCID: PMC9343618 DOI: 10.3389/fendo.2022.927067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 06/15/2022] [Indexed: 11/13/2022] Open
Abstract
AIM To determine the effect of decade-based body weight gain from 20 to 50 years of age on later life diabetes risk. METHODS 35,611 non-diabetic participants aged ≥ 50 years from a well-defined nationwide cohort were followed up for average of 3.6 years, with cardiovascular diseases and cancers at baseline were excluded. Body weight at 20, 30, 40, and 50 years was reported. The overall 30 years and each 10-year weight gain were calculated from the early and middle life. Cox regression models were used to estimate risks of incident diabetes. RESULTS After 127,745.26 person-years of follow-up, 2,789 incident diabetes were identified (incidence rate, 2.18%) in 25,289 women (mean weight gain 20-50 years, 7.60 kg) and 10,322 men (7.93 kg). Each 10-kg weight gain over the 30 years was significantly associated with a 39.7% increased risk of incident diabetes (95% confidence interval [CI], 1.33-1.47); weight gain from 20-30 years showed a more prominent effect on the risk of developing diabetes before 60 years than that of after 60 years (Hazard ratio, HR = 1.084, 95% CI [1.049-1.121], P <0.0001 vs. 1.015 [0.975-1.056], P = 0.4643; PInteraction=0.0293). It showed a stable effect of the three 10-year intervals weight gain on risk of diabetes after 60 years (HR=1.055, 1.038, 1.043, respectively, all P < 0.0036). CONCLUSIONS The early life weight gain showed a more prominent effect on developing diabetes before 60 years than after 60 years; however, each-decade weight gain from 20 to 50 years showed a similar effect on risk developing diabetes after 60 years.
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Affiliation(s)
- Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Gang Chen
- Department of Endocrinology, Fujian Provincial Hospital, Fujian Medical University, Fuzhou, China
| | - Yingfen Qin
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Shengli Wu
- Department of Endocrinology, Karamay Municipal People’s Hospital, Xinjiang, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhiyun Zhao
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Chen
- Department of Endocrinology, Qilu Hospital of Shandong University, Jinan, China
| | - Lulu Chen
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huacong Deng
- Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhengnan Gao
- Department of Endocrinology, Dalian Municipal Central Hospital, Dalian, China
| | - Yanan Huo
- Department of Endocrinology, Jiangxi Provincial People’s Hospital Affiliated to Nanchang University, Nanchang, China
| | - Qiang Li
- Department of Endocrinology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Chao Liu
- Department of Endocrinology, Jiangsu Province Hospital on Integration of Chinese and Western Medicine, Nanjing, China
| | - Zuojie Luo
- Department of Endocrinology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Yiming Mu
- Department of Endocrinology, Chinese People’s Liberation Army General Hospital, Beijing, China
| | - Guijun Qin
- Department of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feixia Shen
- Department of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Lixin Shi
- Department of Endocrinology, Affiliated Hospital of Guiyang Medical College, Guiyang, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Qin Wan
- Department of Endocrinology, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Guixia Wang
- Department of Endocrinology, The First Hospital of Jilin University, Changchun, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Youmin Wang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ruying Hu
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Yiping Xu
- Clinical Trials Center, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Yan
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tao Yang
- Department of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xuefeng Yu
- Department of Endocrinology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yinfei Zhang
- Department of Endocrinology, Central Hospital of Shanghai Jiading District, Shanghai, China
| | - Tianshu Zeng
- Department of Endocrinology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xulei Tang
- Department of Endocrinology, The First Hospital of Lanzhou University, Lanzhou, China
| | - Zhen Ye
- Institute of Chronic Diseases, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital, Jinan, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
| | - Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai National Clinical Research Center for metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the People's Republic of China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- *Correspondence: Weiqing Wang, ; Jieli Lu, ; Guang Ning,
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Yan X, Pei H, Zhang Y, Kang N, Chen G, Wang D. Association Between Physical Activity and Physical Fitness Among Adults Aged 40 to 79 Years — Beijing, China, 2020–2021. China CDC Wkly 2022. [DOI: 10.46234/ccdcw2022.192] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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50
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Wang L, Tian C, Xu G, Sang Q, Chen G, Yu C, Wuyun Q, Wang Z, Chen W, Amin B, Wang D, Lian D, Zhang N. Long-Term Weight Loss Outcome of Laparoscopic Sleeve Gastrectomy Predicted by the Percentage of Excess Weight Loss at 6 Months in Chinese Patients with Body Mass Index ≥ 32.5 Kg/m 2. Diabetes Metab Syndr Obes 2022; 15:2235-2247. [PMID: 35936054 PMCID: PMC9346418 DOI: 10.2147/dmso.s371017] [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: 04/22/2022] [Accepted: 07/16/2022] [Indexed: 11/25/2022] Open
Abstract
PURPOSE To evaluate the predictive effect of the initial weight loss on the long-term weight loss in Chinese patients with a body mass index (BMI) ≥ 32.5 kg/m2 who underwent LSG. PATIENTS AND METHODS The follow-up was completed via phone or WeChat for outpatients and at the hospital for inpatients. We evaluated the BMI, percentage of excess weight loss (%EWL), and type 2 diabetes mellitus, hypertension, and hyperlipidemia statuses. Linear and logistic regression analyses were performed on the relationship between the initial and long-term weight loss. The optimal cut-off value was determined by receiver operating characteristic (ROC) curve analysis. RESULTS We enrolled 307 patients, with a median preoperative BMI of 39.68 (35.68, 45.47) kg/m2. %EWL ≥ 50% was regarded as successful weight loss, and 76.55% of the patients lost their weight successfully. (Reviewer #1, comment #4) %EWL at 6 months and 5 years were positively correlated (P < 0.001). Further, the following linear equation could express the relationship: (%EWL5 years = 29.193 + 0.526 × %EWL6 months). %EWL ≥ 58.57% at 6 months was the best predictor of successful weight loss at 5 years after LSG (Reviewer #1, comment #5) (sensitivity, 73.62%; specificity, 73.61%; AUC value, 0.780). Internal verification of the prediction model revealed satisfactory results in terms of discrimination and calibration. CONCLUSION In Chinese patients with BMI ≥ 32.5 kg/m2 who underwent LSG, %EWL at 6 months and 5 years were correlated. %EWL ≥ 58.57% at 6 months was a predictor of successful long-term weight loss.
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Affiliation(s)
- Liang Wang
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Chenxu Tian
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Guangzhong Xu
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Qing Sang
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Guanyang Chen
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Chengyuan Yu
- Surgery Centre of Diabetes Mellitus, Peking University Ninth School of Clinical Medicine, Beijing, People’s Republic of China
| | - Qiqige Wuyun
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Zheng Wang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Weijian Chen
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Buhe Amin
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
| | - Dezhong Wang
- General Surgery, Aerospace Center Hospital, Beijing, People’s Republic of China
| | - Dongbo Lian
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
- Correspondence: Dongbo Lian; Nengwei Zhang, Email ;
| | - Nengwei Zhang
- Surgery Centre of Diabetes Mellitus, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, People’s Republic of China
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