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Sharman A, Shaw JE, Shayanrad A, Shayesteh AA, Shengelia L, Shi Z, Shibuya K, Shimizu-Furusawa H, Shimony T, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Sidossis LS, Silitrari N, Silva AM, Silva CRDM, Silva DAS, Silva KS, Sim X, Simon M, Simons J, Simons LA, Sjöberg A, Sjöström M, Skoblina EV, Skoblina NA, Slazhnyova T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobek G, Sobngwi E, Sodemann M, Söderberg S, Soekatri MYE, Soemantri A, Sofat R, Solfrizzi V, Solovieva YV, Somi MH, Sonestedt E, Song Y, Soofi S, Sørensen TIA, Sørgjerd EP, Sossa Jérome C, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Stang A, Starc G, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Steinsbekk S, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suarez-Ortegón MF, Suebsamran P, Sugiyama M, Suka M, Sulo G, Sun CA, Sun L, Sund M, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szponar L, Tabone L, Tai ES, Takuro F, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Taxová Braunerová R, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tessema M, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thrift AG, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Tomaszewski M, Topbas M, Topór-Mądry R, Torheim LE, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Udoji N, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vatasescu R, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Viriyautsahakul N, Virtanen JK, Visser M, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Vourli G, Voutilainen A, Vrijheid M, Vrijkotte TGM, Vuletić S, Wade AN, Waldhör T, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang C, Wang H, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wartha O, Weber A, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wichstrøm L, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wirth JP, Wojtyniak B, Woldeyohannes M, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan L, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, Yépez García M, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, Yotov Y, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zentai A, Zhang B, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zimmet P, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Zuziak M, Ezzati M. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults. Lancet 2024; 403:1027-1050. [PMID: 38432237 PMCID: PMC7615769 DOI: 10.1016/s0140-6736(23)02750-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 11/22/2023] [Accepted: 12/05/2023] [Indexed: 03/05/2024]
Abstract
BACKGROUND Underweight and obesity are associated with adverse health outcomes throughout the life course. We estimated the individual and combined prevalence of underweight or thinness and obesity, and their changes, from 1990 to 2022 for adults and school-aged children and adolescents in 200 countries and territories. METHODS We used data from 3663 population-based studies with 222 million participants that measured height and weight in representative samples of the general population. We used a Bayesian hierarchical model to estimate trends in the prevalence of different BMI categories, separately for adults (age ≥20 years) and school-aged children and adolescents (age 5-19 years), from 1990 to 2022 for 200 countries and territories. For adults, we report the individual and combined prevalence of underweight (BMI <18·5 kg/m2) and obesity (BMI ≥30 kg/m2). For school-aged children and adolescents, we report thinness (BMI <2 SD below the median of the WHO growth reference) and obesity (BMI >2 SD above the median). FINDINGS From 1990 to 2022, the combined prevalence of underweight and obesity in adults decreased in 11 countries (6%) for women and 17 (9%) for men with a posterior probability of at least 0·80 that the observed changes were true decreases. The combined prevalence increased in 162 countries (81%) for women and 140 countries (70%) for men with a posterior probability of at least 0·80. In 2022, the combined prevalence of underweight and obesity was highest in island nations in the Caribbean and Polynesia and Micronesia, and countries in the Middle East and north Africa. Obesity prevalence was higher than underweight with posterior probability of at least 0·80 in 177 countries (89%) for women and 145 (73%) for men in 2022, whereas the converse was true in 16 countries (8%) for women, and 39 (20%) for men. From 1990 to 2022, the combined prevalence of thinness and obesity decreased among girls in five countries (3%) and among boys in 15 countries (8%) with a posterior probability of at least 0·80, and increased among girls in 140 countries (70%) and boys in 137 countries (69%) with a posterior probability of at least 0·80. The countries with highest combined prevalence of thinness and obesity in school-aged children and adolescents in 2022 were in Polynesia and Micronesia and the Caribbean for both sexes, and Chile and Qatar for boys. Combined prevalence was also high in some countries in south Asia, such as India and Pakistan, where thinness remained prevalent despite having declined. In 2022, obesity in school-aged children and adolescents was more prevalent than thinness with a posterior probability of at least 0·80 among girls in 133 countries (67%) and boys in 125 countries (63%), whereas the converse was true in 35 countries (18%) and 42 countries (21%), respectively. In almost all countries for both adults and school-aged children and adolescents, the increases in double burden were driven by increases in obesity, and decreases in double burden by declining underweight or thinness. INTERPRETATION The combined burden of underweight and obesity has increased in most countries, driven by an increase in obesity, while underweight and thinness remain prevalent in south Asia and parts of Africa. A healthy nutrition transition that enhances access to nutritious foods is needed to address the remaining burden of underweight while curbing and reversing the increase in obesity. FUNDING UK Medical Research Council, UK Research and Innovation (Research England), UK Research and Innovation (Innovate UK), and European Union.
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Xun R, Gao Y, Zhen S, Mao T, Xia H, Zhang H, Sun G. Effects of Behavioral Interventions for Salt Reduction on Blood Pressure and Urinary Sodium Excretion: A Systematic Review and Meta-Analysis of Randomized Controlled Trials. Glob Heart 2023; 18:65. [PMID: 38143483 PMCID: PMC10742105 DOI: 10.5334/gh.1281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 11/21/2023] [Indexed: 12/26/2023] Open
Abstract
Hypertension is a prevalent cardiovascular condition, with excessive sodium intake being a significant risk factor. Various studies have investigated measures to reduce salt intake, including integrated lifestyle interventions and health education. However, the effectiveness of behavioral interventions focused solely on salt reduction remains unclear. This systematic review and meta-analysis aimed to investigate the effects of a behavioral intervention based on salt reduction on blood pressure and urinary sodium excretion. A comprehensive search of the Cochrane Central Register of Controlled Trials, EMBASE, PubMed, and Web of Science was conducted to identify relevant literature. Study and intervention characteristics were extracted for descriptive synthesis, and the quality of the included studies was assessed. A total of 10 studies, comprising 4,667 participants (3,796 adults and 871 children), were included. The interventions involved the provision of salt-restriction spoons or devices, salt-reduction education, self-monitoring devices for urinary sodium, and salt-reduction cooking classes. Meta-analysis results showed that behavioral interventions focused on salt reduction significantly reduced systolic blood pressure (SBP) (-1.17 mmHg; 95% CI, -1.86 to -0.49), diastolic blood pressure (DBP) (-0.58 mmHg; 95% CI, -1.07 to -0.08) and urinary sodium excretion (-21.88 mmol/24 hours; 95% CI, -32.12 to -11.64). These findings suggest that behavioral change interventions centered on salt reduction can effectively lower salt intake levels and decrease blood pressure levels. However, to enhance effectiveness, behavioral interventions for salt reduction should be combined with other salt-reduction strategies.
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Affiliation(s)
- Ruilong Xun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Yusi Gao
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Shiqi Zhen
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Tao Mao
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Hui Xia
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Hong Zhang
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
| | - Guiju Sun
- Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health, Southeast University, Nanjing 210009, China
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Fan J, Mao T, Zhen S, Xu Y, Qu C. Comparative analysis of e-cigarette prevalence and influencing factors among adolescents in Jiangsu Province, China. Front Public Health 2023; 11:1221334. [PMID: 38106882 PMCID: PMC10722425 DOI: 10.3389/fpubh.2023.1221334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 11/06/2023] [Indexed: 12/19/2023] Open
Abstract
Objective The objectives of this study were to investigate electronic cigarette (e-cigarette) and cigarette use in Jiangsu Province, China, by analyzing the two-year trends of e-cigarette using and to explore the factors influencing the experimentation and use of e-cigarettes. Methods We conducted a cross-sectional study following the standard methodology of the Global Youth Tobacco Survey in 2019 and 2021. A three-stage cluster sampling design was applied. Eighty-two schools in 14 districts (counties) in Jiangsu Province were surveyed. All computations were performed using the SPSS 21.0 complex samples procedure. Multivariate logistic regression was used to explore the factors influencing e-cigarette experimentation and use. Results A total of 12,410 and 12,880 students were surveyed in 2019 and 2021, respectively. E-cigarette experimentation increased from 9.34% in 2019 to 13.07% in 2021 (P < 0.001). E-cigarette use increased from 2.23% in 2019 to 3.74% in 2021 (P < 0.001). The main factors associated with e-cigarette use were cigarette experimentation (OR = 2.700, P < 0.001); male gender (OR = 1.416, P = 0.011); junior high school students (OR = 1.551, P = 0.005) and vocational high school students (OR = 1.644, P = 0.001); more pocket money per week (OR1 = 1.214, P = 0.187; OR2 = 1.686, P = 0.001); exposure to second-hand smoke (SHS) at home (OR = 1.239, P < 0.001); exposure to e-cigarette advertising (OR = 1.855, P < 0.001); believe SHS is harmful (OR = 0.933, P = 0.026); closest friends smoking (OR = 2.501, P < 0.001); believe smoking makes youth look more attractive (OR1 = 1.469, P = 0.040; OR2 = 1.305, P = 0.049); believe tobacco helps youth feel more comfortable in social situations (OR1 = 2.161, P < 0.001; OR2 = 1.635, P = 0.001); will use an e-cigarette product if offered by best friends (OR = 1.322, P < 0.001); intend to use an e-cigarette product in the next 12 months (OR = 1.486, P < 0.001). Conclusion E-cigarette use among adolescents has been on the rise in recent years. E-cigarette use is associated with past cigarette use and a strong desire to smoke. It is crucial to take health education and tobacco control efforts to reduce adolescents' e-cigarette use rate.
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Affiliation(s)
- Jiannan Fan
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, Jiangsu, China
| | - Tao Mao
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Shiqi Zhen
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Yan Xu
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
| | - Chen Qu
- Institute of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu, China
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Liu J, Luo B, Zhou Y, Ma X, Liang J, Sang X, Lyu L, Chen W, Fu P, Liu H, Zhen S, Wang C, Wu Y, Huang Q, Liang X, Bai G, Lan Z, Zhang S, Wu Y, Li N, Guo Y. Prevalence and distribution of acute gastrointestinal illness in the community of China: a population-based face-to-face survey, 2014-2015. BMC Public Health 2023; 23:836. [PMID: 37158857 PMCID: PMC10165855 DOI: 10.1186/s12889-023-15337-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 02/28/2023] [Indexed: 05/10/2023] Open
Abstract
BACKGROUND The true incidence of acute gastrointestinal illness in China is underrecognized by surveillance systems. The aims of this study were to estimate the incidence and prevalence of self-reported AGI in the community of China, and to investigate sociodemographic and epidemiological determinants of AGI. METHODS We conducted a 12-months cross-sectional population-based survey in eight provinces of China during 2014-2015. The survey determined the prevalence and incidence of acute gastrointestinal illness (AGI) in the total permanent resident population in China according to the census of the population in 2010. The random multilevel population sample was stratified by geographic, population, and socioeconomic status. We used a recommended case definition of AGI, with diarrhea (three loose or watery stools) and/or any vomiting in a four-week recall. A face-to-face survey was conducted by selecting the member in the household with the most recent birthday. RESULTS Among 56,704 sampled individuals, 948 (1,134 person-time) fulfilled the case definition; 98.5% reported diarrhea. This corresponds to 2.3% (95% CI:1.9%-2.8%) of an overall standardized four-week prevalence and 0.3 (95% CI: 0.23-0.34) episodes per person-year of annual adjusted incidence rate. There was no significant difference between males and females. The incidence rates were higher among urban residents, and in the spring and summer. In the whole study period, 50% of the cases sought medical care, of which 3.9% were hospitalized and 14.3% provided a biological sample for laboratory identification of the causative agent. Children aged 0-4 and young adults aged 15-24, people living in rural areas and people who traveled frequently had higher prevalence of AGI. CONCLUSION Results showed that AGI represents a substantial burden in China, and will contribute to the estimation of the global burden of AGI. Complemented with data on the etiologies of AGI, these estimates will form the basis to estimate the burden of foodborne diseases in China.
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Affiliation(s)
- Jikai Liu
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU4) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Baozhang Luo
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China
| | - Yijing Zhou
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, China
| | - Xiaochen Ma
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Junhua Liang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xianglai Sang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Le Lyu
- Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Wen Chen
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Pengyu Fu
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Hong Liu
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Prevention and Control, Nanjing, China
| | - Chao Wang
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Yangbo Wu
- Beijing Center for Disease Prevention and Control, Beijing, China
| | - Qiong Huang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xiaocheng Liang
- Gansu Provincial Center for Disease Control and Prevention, Lanzhou, China
| | - Guangda Bai
- Jilin Provincial Center for Disease Control and Prevention, Changchun, China
| | - Zhen Lan
- Sichuan Provincial Center for Disease Control and Prevention, Chengdu, China
| | - Shufang Zhang
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, China
| | - Yongning Wu
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU4) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Ning Li
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU4) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, China.
| | - Yunchang Guo
- NHC Key Laboratory of Food Safety Risk Assessment, Food Safety Research Unit (2019RU4) of Chinese Academy of Medical Science, China National Center for Food Safety Risk Assessment, Beijing, China.
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Yang L, Zhen S, Li L, Wang Q, Yang G, Cui T, Shi N, Xiu S, Zhu L, Xu X, Wang L, Jin H, Ji L. Assessing vaccine literacy and exploring its association with vaccine hesitancy: A validation of the vaccine literacy scale in China. J Affect Disord 2023; 330:275-282. [PMID: 36907456 DOI: 10.1016/j.jad.2023.03.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 02/27/2023] [Accepted: 03/07/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Assessment of vaccine literacy is essential for understanding people's ability to access various vaccine information to meet health demands. Few studies have examined the role of vaccine literacy in vaccine hesitancy, which is a psychological state. This study aimed to validate the applicability of the HLVa-IT (Vaccine Health Literacy of Adults in Italian) scale in Chinese settings and to explore the association between vaccine literacy and vaccine hesitancy. METHODS From May to June 2022, we conducted an online cross-sectional survey in mainland China. Potential factor domains were obtained by the exploratory factor analysis. Cronbach's alpha coefficient, composite reliability values, and square root values of average variances extracted were calculated to determine the internal consistency and discriminant validity. The association between vaccine literacy, vaccine acceptance, with vaccine hesitancy was assessed using logistic regression analysis. RESULTS Totally, 12,586 participants completed the survey. Two potential dimensions, the functional and the interactive/critical, were identified. Cronbach's alpha coefficient and composite reliability values were >0.90. The square root values of average variances extracted exceeded the related correlations. The functional dimension (adjusted odds ratio (aOR): 0579; 95 % Confidence Interval (CI); 0.529, 0.635), interactive (aOR: 0.654; 95%CI: 0.531, 0.806)/critical (aOR: 0.709; 95%CI: 0.575, 0.873) dimension were significantly and negatively associated with vaccine hesitancy. Similar results were also found in different vaccines acceptance subgroups. LIMITATIONS This report is limited by the convenience sampling method. CONCLUSIONS The modified HLVa-IT is suitable for use in Chinese settings. Vaccine literacy was negatively associated with vaccine hesitancy.
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Affiliation(s)
- Liuqing Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China
| | - Lan Li
- Institute of Disaster Risk Reduction, University College London, London, United Kingdom
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Guoping Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China
| | - Shixin Xiu
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, PR China
| | - Lin Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China
| | - Xuepeng Xu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China
| | - Liping Wang
- Yancheng Center for Disease Control and Prevention, Yancheng, PR China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, PR China; Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, PR China.
| | - Lili Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, PR China
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Mishra A, Zhou B, Rodriguez-Martinez A, Bixby H, Singleton RK, Carrillo-Larco RM, Sheffer KE, Paciorek CJ, Bennett JE, Lhoste V, Iurilli MLC, Di Cesare M, Bentham J, Phelps NH, Sophiea MK, Stevens GA, Danaei G, Cowan MJ, Savin S, Riley LM, Gregg EW, Aekplakorn W, Ahmad NA, Baker JL, Chirita-Emandi A, Farzadfar F, Fink G, Heinen M, Ikeda N, Kengne AP, Khang YH, Laatikainen T, Laxmaiah A, Ma J, Monroy-Valle M, Mridha MK, Padez CP, Reynolds A, Sorić M, Starc G, Wirth JP, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Ghaffar SA, Abdul Rahim HF, Abdurrahmonova Z, Abu-Rmeileh NM, Garba JA, Acosta-Cazares B, Adam I, Adamczyk M, Adams RJ, Adu-Afarwuah S, Afsana K, Afzal S, Agbor VN, Agdeppa IA, Aghazadeh-Attari J, Aguenaou H, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmadi A, Ahmadi N, Ahmadi N, Ahmed I, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Lahou B, Al-Raddadi R, Al Hourani HM, Al Qaoud NM, Alarouj M, AlBuhairan F, AlDhukair S, Aldwairji MA, Alexius S, Ali MM, Alkandari A, Alkerwi A, Alkhatib BM, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Etxezarreta PA, Amoah J, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Androutsos O, Ängquist L, Anjana RM, Ansari-Moghaddam A, Anufrieva E, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aseffa N, Aspelund T, Assah FK, Assembekov B, Assunção MCF, Aung MS, Auvinen J, Avdičová M, Avi S, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Jørgensen MB, Baharudin A, Bahijri S, Bakacs M, Balakrishna N, Balanova Y, Bamoshmoosh M, Banach M, Banegas JR, Baran J, Baran R, Barbagallo CM, Filho VB, Barceló A, Baretić M, Barkat A, Barnoya J, Barrera L, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batista AP, Batista RL, Battakova Z, Baur LA, Bayauli PM, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Rolandi GEB, Bere E, Bergh IH, Berhane Y, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, 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EP, Jérome CS, Soto-Rojas VE, Soumaré A, Sousa-Poza A, Sovic S, Sparboe-Nilsen B, Sparrenberger K, Spencer PR, Spinelli A, Spiroski I, Staessen JA, Stamm H, Staub K, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stoyanova E, Stratton G, Stronks K, Strufaldi MW, Sturua L, Suárez-Medina R, Suka M, Sun CA, Sun L, Sundström J, Sung YT, Sunyer J, Suriyawongpaisal P, Sweis NWG, Swinburn BA, Sy RG, Sylva RC, Szklo M, Szponar L, Tabone L, Tai ES, Tambalis KD, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanrygulyyeva M, Tanser F, Tao Y, Tarawneh MR, Tarp J, Tarqui-Mamani CB, Braunerová RT, Taylor A, Taylor J, Tchibindat F, Te Velde S, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thomas N, Thorand B, Thuesen BH, Tichá Ľ, Timmermans EJ, Tjandrarini DH, Tjonneland A, Tolonen HK, Tolstrup JS, Topbas M, Topór-Mądry R, Torheim LE, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Toselli S, Touloumi G, Traissac P, Tran TTH, Tremblay MS, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tsao YH, Tshepo L, Tsigga M, Tsintavis P, Tsugane S, Tuitele J, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzala E, Tzotzas T, Tzourio C, Ueda P, Ugel E, Ukoli FAM, Ulmer H, Unal B, Usupova Z, Uusitalo HMT, Uysal N, Vaitkeviciute J, Valdivia G, Vale S, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Lippevelde W, Van Minh H, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varela-Moreiras G, Vargas LN, Varona-Pérez P, Vasan SK, Vasques DG, Vega T, Veidebaum T, Velasquez-Melendez G, Velika B, Verloigne M, Veronesi G, Verschuren WMM, Victora CG, Viegi G, Viet L, Vik FN, Vilar M, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vladulescu M, Vlasoff T, Vocanec D, Vollenweider P, Völzke H, Voutilainen A, Vrijheid M, Vrijkotte TGM, Wade AN, Waldhör T, Walton J, Wambiya EOA, Bebakar WMW, Mohamud WNW, de Souza Wanderley Júnior R, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Weber A, Webster-Kerr K, Wedderkopp N, Weghuber D, Wei W, Weres A, Werner B, Westbury LD, Whincup PH, Wickramasinghe K, Widhalm K, Widyahening IS, Więcek A, Wild PS, Wilks RJ, Willeit J, Willeit P, Williams J, Wilsgaard T, Wojciech R, Wojtyniak B, Wolf K, Wong-McClure RA, Wong A, Wong EB, Wong JE, Wong TY, Woo J, Woodward M, Wu FC, Wu HY, Wu J, Wu LJ, Wu S, Wyszyńska J, Xu H, Xu L, Yaacob NA, Yamborisut U, Yan W, Yang L, Yang X, Yang Y, Yardim N, Yasuharu T, García MY, Yiallouros PK, Yngve A, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yu YL, Yu Y, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zayed AA, Zdrojewski T, Żegleń M, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhecheva YV, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Cisneros JZ, Zuziak M, Bhutta ZA, Black RE, Ezzati M. Diminishing benefits of urban living for children and adolescents' growth and development. Nature 2023; 615:874-883. [PMID: 36991188 PMCID: PMC10060164 DOI: 10.1038/s41586-023-05772-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/30/2023] [Indexed: 03/31/2023]
Abstract
Optimal growth and development in childhood and adolescence is crucial for lifelong health and well-being1-6. Here we used data from 2,325 population-based studies, with measurements of height and weight from 71 million participants, to report the height and body-mass index (BMI) of children and adolescents aged 5-19 years on the basis of rural and urban place of residence in 200 countries and territories from 1990 to 2020. In 1990, children and adolescents residing in cities were taller than their rural counterparts in all but a few high-income countries. By 2020, the urban height advantage became smaller in most countries, and in many high-income western countries it reversed into a small urban-based disadvantage. The exception was for boys in most countries in sub-Saharan Africa and in some countries in Oceania, south Asia and the region of central Asia, Middle East and north Africa. In these countries, successive cohorts of boys from rural places either did not gain height or possibly became shorter, and hence fell further behind their urban peers. The difference between the age-standardized mean BMI of children in urban and rural areas was <1.1 kg m-2 in the vast majority of countries. Within this small range, BMI increased slightly more in cities than in rural areas, except in south Asia, sub-Saharan Africa and some countries in central and eastern Europe. Our results show that in much of the world, the growth and developmental advantages of living in cities have diminished in the twenty-first century, whereas in much of sub-Saharan Africa they have amplified.
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Mavragani A, Ji L, Wang Q, Yang G, Xiu S, Cui T, Shi N, Zhu L, Xu X, Jin H, Zhen S. Understanding Drivers of Vaccine Hesitancy During the COVID-19 Pandemic Among Older Adults in Jiangsu Province, China: Cross-sectional Survey. JMIR Form Res 2023; 7:e39994. [PMID: 36693149 PMCID: PMC9907572 DOI: 10.2196/39994] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 12/17/2022] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
BACKGROUND Older adults are particularly at risk from infectious diseases, including serve complications, hospitalization, and death. OBJECTIVE This study aimed to explore the drivers of vaccine hesitancy among older adults based on the "3Cs" (confidence, complacency, and convenience) framework, where socioeconomic status and vaccination history played the role of moderators. METHODS A cross-sectional questionnaire survey was conducted in Jiangsu Province, China, between June 1 and July 20, 2021. Older adults (aged ≥60 years) were recruited using a stratified sampling method. Vaccine hesitancy was influenced by the 3Cs in the model. Socioeconomic status and vaccination history processed through the item parceling method were used to moderate associations between the 3Cs and hesitancy. Hierarchical regression analyses and structural equation modeling were used to test the validity of the new framework. We performed 5000 trials of bootstrapping to calculate the 95% CI of the pathway's coefficients. RESULTS A total of 1341 older adults participated. The mean age was 71.3 (SD 5.4) years, and 44.7% (599/1341) of participants were men. Confidence (b=0.967; 95% CI 0.759-1.201; P=.002), convenience (b=0.458; 95% CI 0.333-0.590; P=.002), and less complacency (b=0.301; 95% CI 0.187-0.408; P=.002) were positively associated with less vaccine hesitancy. Socioeconomic status weakened the positive effect of low complacency (b=-0.065; P=.03) on low vaccine hesitancy. COVID-19 vaccination history negatively moderated the positive association between confidence (b=-0.071; P=.02) and lower vaccine hesitancy. CONCLUSIONS Our study identified that confidence was the more influential dimension in reducing vaccine hesitancy among older adults. COVID-19 vaccination history, as well as confidence, had a positive association with less vaccine hesitancy and could weaken the role of confidence in vaccine hesitancy. Socioeconomic status had a substitution relationship with less complacency, which suggested a competitive positive association between them on less vaccine hesitancy.
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Affiliation(s)
| | - Lili Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Guoping Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Shixin Xiu
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Lin Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xuepeng Xu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Gjini M, Velten C, Brodin P, Tang J, Tome W, Zhen S, Guha C, Kabarriti R. Association between Liver Imaging Changes after Liver SBRT as Estimated by Area under the Dynamic Contrast-Enhanced MRI Curve and Changes in Global Liver Function. Int J Radiat Oncol Biol Phys 2022. [DOI: 10.1016/j.ijrobp.2022.07.425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
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9
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Yang L, Ji L, Wang Q, Xu Y, Yang G, Cui T, Shi N, Zhu L, Xiu S, Jin H, Zhen S. Vaccination Intention and Behavior of the General Public in China: Cross-sectional Survey and Moderated Mediation Model Analysis. JMIR Public Health Surveill 2022; 8:e34666. [PMID: 35723904 PMCID: PMC9253970 DOI: 10.2196/34666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 03/03/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Promoting vaccination and eliminating vaccine hesitancy are key measures for controlling vaccine-preventable diseases. OBJECTIVE We aimed to understand the beliefs surrounding and drivers of vaccination behavior, and their relationships with and influence on vaccination intention and practices. METHODS We conducted a web-based survey in 31 provinces in mainland China from May 24, 2021 to June 15, 2021, with questions pertaining to vaccination in 5 dimensions: attitude, subjective norms, perceived behavioral control, intention, and behavior. We performed hierarchical regression analysis and structural equation modeling based on the theory of planned behavior-in which, the variables attitude, subjective norms, and intention each affect the variable intention; the variable intention mediates the relationships of attitude and subjective norms with behavior, and the variable perceived behavioral control moderates the strength of this mediation-to test the validity of the theoretical framework. RESULTS A total of 9924 participants, aged 18 to 59 years, were included in this study. Vaccination intention mediated the relationships of attitude and subjective norms with vaccination behavior. The indirect effect of attitude on vaccination behavior was 0.164 and that of subjective norms was 0.255, and the difference was statistically significant (P<.001). The moderated mediation analysis further indicated that perceived behavioral control would affect the mediation when used as moderator, and the interaction terms for attitude (β=-0.052, P<.001) and subjective norms (β=-0.028, P=.006) with perceived behavioral control were significant. CONCLUSIONS Subjective norms have stronger positive influences on vaccination practices than attitudes. Perceived behavioral control, as a moderator, has a substitution relationship with attitudes and subjective norms and weakens their positive effects on vaccination behavior.
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Affiliation(s)
- Liuqing Yang
- Department of Epidemiology and Health Statistic, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Lili Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistic, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yan Xu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Guoping Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Tingting Cui
- Department of Epidemiology and Health Statistic, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistic, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Lin Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Shixin Xiu
- Department of Immunization Planning, Wuxi Center for Disease Control and Prevention, Wuxi, China
| | - Hui Jin
- Department of Epidemiology and Health Statistic, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
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Wang Q, Xiu S, Yang L, Han Y, Cui T, Shi N, Liu M, Yi Y, Liu C, Wang X, Yang G, Ji L, Zhou W, Jin H, Zhen S, Lin L. Changes in the public attitude toward childhood vaccine and the COVID-19 vaccine during different periods: A repeated cross-section study in Wuxi city, China. JMIR Public Health Surveill 2022; 8:e33235. [PMID: 35486516 PMCID: PMC9109779 DOI: 10.2196/33235] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 03/02/2022] [Accepted: 04/26/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND It was reported that one in four parents were hesitant about vaccinating their children in China. Previous studies have revealed a declining trend in the vaccine willingness rate in China. There is a need to monitor the level of parental vaccine hesitancy towards routine childhood vaccination and hesitancy toward the coronavirus disease 2019 (COVID-19) vaccine during the ongoing COVID-19 pandemic. OBJECTIVE This study aimed to assess changes in trends of parental attitudes toward routine childhood vaccine and COVID-19 vaccinations across different time periods in China. METHODS Three waves of cross-sectional surveys were conducted on parents residing in Wuxi City in Jiangsu province, China from September to October 2020, February to March 2021, and May to June 2021. Participants were recruited from immunization clinics. Chi-square tests used to compare the results of the three surveys, controlling for sociodemographic factors. Binary and multivariable logistic regression analysis was used to examine factors related to parental vaccine hesitancy and COVID-19 vaccine willingness. RESULTS Overall, 2,881, 1,038, and 1,183 participants were included in the survey's three-waves. Using the Vaccine Hesitancy Scale, 7.8%, 15.1%, and 5.5% of parents showed hesitancy to children vaccination (P<.001), and 59.3%, 64.6%, and 92.0% of parents agreed to receive a COVID-19 vaccine themselves in the first, second, and third surveys, respectively (P<.001). In all three surveys, "concerns about vaccine safety and side effects" was the most common reason for refusal. CONCLUSIONS There has been an increasing acceptance of COVID-19 vaccination in Wuxi City, China. Effective interventions need be taken to mitigate public concerns about vaccine safety. CLINICALTRIAL
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Affiliation(s)
- Qiang Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Shixin Xiu
- Wuxi Center for Disease Control and Prevention, Wuxi, CN
| | - Liuqing Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Ying Han
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Minqi Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Youqin Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Chang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Xuwen Wang
- Wuxi Center for Disease Control and Prevention, Wuxi, CN
| | - Guoping Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, CN
| | - Lili Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, CN
| | - Weijie Zhou
- Wuxi Center for Disease Control and Prevention, Wuxi, CN
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, 87# Dingjiaqiao 210009 Nanjing PR China, Nanjing, CN.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, CN
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, CN
| | - Leesa Lin
- Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, GB.,Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, HongKong, CN
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Zhou Y, Yang G, Qu C, Chen J, Qian Y, Yuan L, Mao T, Xu Y, Li X, Zhen S, Liu S. Predictive performance of lipid parameters in identifying undiagnosed diabetes and prediabetes: a cross-sectional study in eastern China. BMC Endocr Disord 2022; 22:76. [PMID: 35331213 PMCID: PMC8952267 DOI: 10.1186/s12902-022-00984-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/08/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND Dyslipidaemia is a risk factor for abnormal blood glucose. However, studies on the predictive values of lipid markers in prediabetes and diabetes simultaneously are limited. This study aimed to assess the associations and predictive abilities of lipid indices and abnormal blood glucose. METHODS A sample of 7667 participants without diabetes were enrolled in this cross-sectional study conducted in 2016, and all of them were classified as having normal glucose tolerance (NGT), prediabetes or diabetes. Blood glucose, blood pressure and lipid parameters (triglycerides, TG; total cholesterol, TC; high-density lipoprotein cholesterol, HDL-C; low-density lipoprotein cholesterol, LDL-C; non-high-density lipoprotein cholesterol, non-HDL-C; and triglyceride glucose index, TyG) were evaluated or calculated. Logistic regression models were used to analyse the association between lipids and abnormal blood glucose. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve was used to assess the discriminatory power of lipid parameters for detecting prediabetes or diabetes. RESULTS After adjustment for potential confounding factors, the TyG was the strongest marker related to abnormal blood glucose compared to other lipid indices, with odds ratios of 2.111 for prediabetes and 5.423 for diabetes. For prediabetes, the AUCs of the TG, TC, HDL-C, LDL-C, TC/HDL-C, TG/HDL-C, non-HDL-C and TyG indices were 0.605, 0.617, 0.481, 0.615, 0.603, 0.590, 0.626 and 0.660, respectively, and the cut-off points were 1.34, 4.59, 1.42, 2.69, 3.39, 1.00, 3.19 and 8.52, respectively. For diabetes, the AUCs of the TG, TC, HDL-C, LDL-C, TC/HDL-C, TG/HDL-C, non-HDL-C and TyG indices were 0.712, 0.679, 0.440, 0.652, 0.686, 0.692, 0.705, and 0.827, respectively, and the cut-off points were 1.35, 4.68, 1.42, 2.61, 3.44, 0.98, 3.13 and 8.80, respectively. CONCLUSIONS The TyG, TG and non-HDL-C, especially TyG, are accessible biomarkers for screening individuals with undiagnosed diabetes.
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Affiliation(s)
- Yimin Zhou
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, 211166, China
| | - Guoping Yang
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China
| | - Chen Qu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China
| | - Jiaping Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, 211166, China
| | - Yinan Qian
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, 211166, China
| | - Lei Yuan
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, 211166, China
| | - Tao Mao
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China
| | - Yan Xu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China
| | - Xiaoning Li
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China
| | - Shiqi Zhen
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Nanjing, 210009, China.
| | - Sijun Liu
- Department of Social Medicine and Health Education, School of Public Health, Nanjing Medical University, 818 Tianyuan East Road, Nanjing, 211166, China.
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12
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You Z, Wu T, Gong M, Zhen S, Cheng J. The Impact of the Grain for Green Program on Farmers’ Well-Being and Its Mechanism—Empirical Analysis Based on CLDS Data. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.771490] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
This paper found the optimization direction of ecological compensation project from the perspective of farmers’ well-being. Based on the data of 2016 China Labor Force Dynamic Survey (CLDS2016), this paper uses the ordered Probit model to investigate the impact of the Grain for Green Program on farmers’ subjective well-being. The study found that the Grain for Green Program significantly reduced farmers’ subjective well-being. Further research found that the Grain for Green Program ultimately inhibited the subjective well-being of farmers by reducing the subjective perception of air, soil and noise pollution, intensifying the subjective perception of water pollution and reducing the per capita income of households. In the new round of the Grain for Green Program in the “14th Five-Year Plan” period, it is advisable to increase the intensity of income compensation, strengthen supervision to ensure the payment of compensation to households, and control the scale of the project based on ecological foundation, so as to improve the well-being of farmers.
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Zhou B, Carrillo-Larco RM, Danaei G, Riley LM, Paciorek CJ, Stevens GA, Gregg EW, Bennett JE, Solomon B, Singleton RK, Sophiea MK, Iurilli MLC, Lhoste VPF, Cowan MJ, Savin S, Woodward M, Balanova Y, Cifkova R, Damasceno A, Elliott P, Farzadfar F, He J, Ikeda N, Kengne AP, Khang YH, Kim HC, Laxmaiah A, Lin HH, Margozzini Maira P, Miranda JJ, Neuhauser H, Sundström J, Varghese C, Widyahening IS, Zdrojewski T, Abarca-Gómez L, Abdeen ZA, Abdul Rahim HF, Abu-Rmeileh NM, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad NA, Ahmadi A, Ahmadi N, Ahmadi N, Ahmadizar F, Ahmed SH, Ahrens W, Ajlouni K, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Aly E, Amarapurkar DN, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Anjana RM, Ansari-Moghaddam A, Ansong D, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Auvinen J, Avdićová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bahijri S, Balakrishna N, Bamoshmoosh M, Banach M, Banadinović M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barreto M, Barros AJD, Barros MVG, Bartosiewicz A, Basit A, Bastos JLD, Bata I, Batieha AM, Batyrbek A, Baur LA, Beaglehole R, Belavendra A, Ben Romdhane H, Benet M, Benson LS, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bhargava SK, Bia D, Biasch K, Bika Lele EC, Bikbov MM, Bista B, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boeing H, Boggia JG, Boissonnet CP, Bojesen SE, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Boyer CB, Braeckman L, Brajkovich I, Branca F, Breckenkamp J, Brenner H, Brewster LM, Briceño Y, Brito M, Bruno G, Bueno-de-Mesquita HB, Bueno G, Bugge A, Burns C, Bursztyn M, Cabrera de León A, Cacciottolo J, Cameron C, Can G, Cândido APC, Capanzana MV, Čapková N, Capuano E, Capuano V, Cardoso VC, Carlsson AC, Carvalho J, Casanueva FF, Censi L, Cervantes-Loaiza M, Chadjigeorgiou CA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Chee ML, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Cherkaoui Dekkaki I, Chetrit A, Chien KL, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Cooper C, Coppinger TC, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Cruz JJ, Csilla S, Cui L, Cureau FV, Cuschieri S, D'Arrigo G, d'Orsi E, Dallongeville J, Dankner R, Dantoft TM, Dauchet L, Davletov K, De Backer G, De Bacquer D, De Curtis A, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Delisle H, Demarest S, Dennison E, Deschamps V, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Diaz A, Dickerson TT, Dika Z, Djalalinia S, Do HTP, Dobson AJ, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dörr M, Doua K, Dragano N, Drygas W, Duante CA, Duboz P, Duda RB, Dulskiene V, Dushpanova A, Džakula A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elosua R, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans A, Faeh D, Fakhretdinova AA, Fall CH, Faramarzi E, Farjam M, Fattahi MR, Fawwad A, Felix-Redondo FJ, Felix SB, Ferguson TS, Fernandes RA, Fernández-Bergés D, Ferrante D, Ferrao T, Ferrari M, Ferrario MM, Ferreccio C, Ferreira HS, Ferrer E, Ferrieres J, Figueiró TH, Fink G, Fischer K, Foo LH, Forsner M, Fouad HM, Francis DK, Franco MDC, Frikke-Schmidt R, Frontera G, Fuchs FD, Fuchs SC, Fujita Y, Fumihiko M, Furdela V, Furer A, Furusawa T, Gaciong Z, Galbarczyk A, Galenkamp H, Galvano F, Gao J, Gao P, Garcia-de-la-Hera M, Garcia P, Gareta D, Garnett SP, Gaspoz JM, Gasull M, Gazzinelli A, Gehring U, Geleijnse JM, George R, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gialluisi A, Giampaoli S, Gieger C, Gill TK, Giovannelli J, Gironella G, Giwercman A, Gkiouras K, Goldberg M, Goldsmith RA, Gomez LF, Gomula A, Gonçalves H, Gonçalves M, Gonçalves Cordeiro da Silva B, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gorbea MB, Gottrand F, Graff-Iversen S, Grafnetter D, Grajda A, Grammatikopoulou MG, Gregor RD, Grodzicki T, Grosso G, Gruden G, Gu D, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Guimaraes AL, Gulliford MC, Gunnlaugsdottir J, Gunter MJ, Gupta PC, Gupta R, Gureje O, Gurzkowska B, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Halkjær J, Hambleton IR, Hamzeh B, Hange D, Hanif AAM, Hantunen S, Hao J, Hardman CM, Hari Kumar R, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He Y, Heier M, Hendriks ME, Henrique RDS, Henriques A, Hernandez Cadena L, Herqutanto, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Holdsworth M, Homayounfar R, Horasan Dinc G, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Hu Y, Huerta JM, Huhtaniemi IT, Huiart L, Huisman M, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Ibrahim Wong N, Ikram MA, Iotova V, Irazola VE, Ishida T, Isiguzo GC, Islam M, Islam SMS, Iwasaki M, Jackson RT, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelaković A, Jelaković B, Jennings G, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Johansson M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Jóżwiak J, Juolevi A, Jurak G, Jureša V, Kaaks R, Kafatos A, Kajantie EO, Kalmatayeva Z, Kalpourtzi N, Kalter-Leibovici O, Kampmann FB, Kannan S, Karaglani E, Kårhus LL, Karki KB, Katibeh M, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva GM, Keil U, Keinan Boker L, Keinänen-Kiukaanniemi S, Kelishadi R, Kemper HCG, Keramati M, Kerimkulova A, Kersting M, Key T, Khader YS, Khalili D, Khaw KT, Kheiri B, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim DW, Kim J, Klakk H, Klimek M, Klumbiene J, Knoflach M, Kolle E, Kolsteren P, Kontto JP, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Koziel S, Kratenova J, Kriaucioniene V, Kristensen PL, Krokstad S, Kromhout D, Kruger HS, Kubinova R, Kuciene R, Kujala UM, Kulaga Z, Kumar RK, Kurjata P, Kusuma YS, Kutsenko V, Kuulasmaa K, Kyobutungi C, Laatikainen T, Lachat C, Laid Y, Lam TH, Landrove O, Lanska V, Lappas G, Larijani B, Latt TS, Le Coroller G, Le Nguyen Bao K, Le TD, Lee J, Lee J, Lehmann N, Lehtimäki T, Lemogoum D, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin X, Lin YT, Lind L, Lingam V, Linneberg A, Lissner L, Litwin M, Lo WC, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Lukačević Lovrenčić I, Lukrafka JL, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Lustigová M, Luszczki E, Ma G, Ma J, Machado-Coelho GLL, Machado-Rodrigues AM, Macia E, Macieira LM, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Majer M, Makdisse M, Malekzadeh F, Malekzadeh R, Malhotra R, Mallikharjuna Rao K, Malyutina SK, Maniego LV, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marcil A, Mårild SB, Marinović Glavić M, Marques-Vidal P, Marques LP, Marrugat J, Martorell R, Mascarenhas LP, Matasin M, Mathiesen EB, Mathur P, Matijasevich A, Matlosz P, Matsha TE, Mavrogianni C, Mbanya JCN, Mc Donald Posso AJ, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene Benchekor S, Medzioniene J, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Mendoza Montano C, Menezes AMB, Menon GR, Mereke A, Meshram II, Metspalu A, Meyer HE, Mi J, Michels N, Mikkel K, Milkowska K, Miller JC, Minderico CS, Mini GK, Mirjalili MR, Mirrakhimov E, Mišigoj-Duraković M, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohamed SF, Mohammad K, Mohammadi MR, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Mohd Yusoff MF, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Monyeki KDK, Moon JS, Moosazadeh M, Moreira LB, Morejon A, Moreno LA, Morgan K, Moschonis G, Mossakowska M, Mostafa A, Mostafavi SA, Mota J, Motlagh ME, Motta J, Moura-dos-Santos MA, Mridha MK, Msyamboza KP, Mu TT, Muhihi AJ, Muiesan ML, Müller-Nurasyid M, Murphy N, Mursu J, Musa KI, Musić Milanović S, Musil V, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Narake S, Ndiaye NC, Neal WA, Nejatizadeh A, Nenko I, Neovius M, Nguyen CT, Nguyen ND, Nguyen QV, Nguyen QN, Nieto-Martínez RE, Niiranen TJ, Nikitin YP, Ninomiya T, Nishtar S, Njelekela MA, Noale M, Noboa OA, Noorbala AA, Norat T, Nordendahl M, Nordestgaard BG, Noto D, Nowak-Szczepanska N, Nsour MA, Nunes B, O'Neill TW, O'Reilly D, Ochimana C, Oda E, Odili AN, Oh K, Ohara K, Ohtsuka R, Olié V, Olinto MTA, Oliveira IO, Omar MA, Onat A, Ong SK, Ono LM, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Overvad K, Owusu-Dabo E, Paccaud FM, Padez C, Pahomova E, Paiva KMD, Pająk A, Palli D, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Paoli M, Papandreou D, Park SW, Park S, Parnell WR, Parsaeian M, Pasquet P, Patel ND, Pavlyshyn H, Pećin I, Pednekar MS, Pedro JM, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peres KGDA, Peres MA, Peters A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pikhart H, Pilav A, Pilotto L, Pitakaka F, Piwonska A, Pizarro AN, Plans-Rubió P, Polašek O, Porta M, Poudyal A, Pourfarzi F, Pourshams A, Poustchi H, Pradeepa R, Price AJ, Price JF, Providencia R, Puhakka SE, Puiu M, Punab M, Qasrawi RF, Qorbani M, Queiroz D, Quoc Bao T, Radić I, Radisauskas R, Rahimikazerooni S, Rahman M, Raitakari O, Raj M, Rakhimova EM, Ramachandra Rao S, Ramachandran A, Ramos E, Rampal L, Rampal S, Rangel Reina DA, Rarra V, Rech CR, Redon J, Reganit PFM, Regecová V, Revilla L, Rezaianzadeh A, Ribeiro R, Riboli E, Richter A, Rigo F, Rinke de Wit TF, Ritti-Dias RM, Robitaille C, Rodríguez-Artalejo F, Rodriguez-Perez MDC, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Ruiz-Castell M, Rusakova IA, Russo P, Rutkowski M, Sabanayagam C, Sabbaghi H, Sachdev HS, Sadjadi A, Safarpour AR, Safi S, Safiri S, Saidi O, Sakarya S, Saki N, Salanave B, Salazar Martinez E, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santos DA, Santos IS, Santos LC, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarganas G, Sarrafzadegan N, Sathish T, Saum KU, Savva S, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Schipf S, Schmidt CO, Schnohr P, Schöttker B, Schramm S, Schultsz C, Schutte AE, Sebert S, Sein AA, Sen A, Senbanjo IO, Sepanlou SG, Servais J, Shalnova SA, Shamah-Levy T, Shamshirgaran M, Shanthirani CS, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shayesteh AA, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva CRDM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, So HK, Soares FC, Sobngwi E, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Song Y, Sørensen TIA, Sørgjerd EP, Sorić M, Sossa Jérome C, Soumaré A, Sparboe-Nilsen B, Sparrenberger K, Staessen JA, Starc G, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stergiou GS, Stessman J, Stieber J, Stöckl D, Stocks T, Stokwiszewski J, Stronks K, Strufaldi MW, Suka M, Sun CA, Sung YT, Suriyawongpaisal P, Sy RG, Syddall HE, Sylva RC, Szklo M, Tai ES, Tammesoo ML, Tamosiunas A, Tan EJ, Tang X, Tanser F, Tao Y, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tebar WR, Tell GS, Tello T, Tham YC, Thankappan KR, Theobald H, Theodoridis X, Thijs L, Thinggaard M, Thomas N, Thorand B, Thuesen BH, Timmermans EJ, Tjandrarini DH, Tjonneland A, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Touloumi G, Traissac P, Triantafyllou A, Trichopoulos D, Trichopoulou A, Trinh OTH, Trivedi A, Tshepo L, Tsugane S, Tuliakova AM, Tulloch-Reid MK, Tullu F, Tuomainen TP, Tuomilehto J, Turley ML, Twig G, Tynelius P, Tzourio C, Ueda P, Ugel E, Ulmer H, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van den Born BJ, Van der Heyden J, van der Schouw YT, Van Herck K, Van Minh H, Van Schoor NM, van Valkengoed IGM, van Zutphen EM, Vanderschueren D, Vanuzzo D, Varbo A, Vasan SK, Vega T, Veidebaum T, Velasquez-Melendez G, Veronesi G, Verschuren WMM, Verstraeten R, Victora CG, Viet L, Villalpando S, Vineis P, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Walton J, Wambiya EOA, Wan Bebakar WM, Wan Mohamud WN, Wanderley Júnior RDS, Wang MD, Wang N, Wang Q, Wang X, Wang YX, Wang YW, Wannamethee SG, Wareham N, Wei W, Weres A, Werner B, Whincup PH, Widhalm K, Wiecek A, Wilks RJ, Willeit J, Willeit P, Williams EA, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Wu FC, Wu S, Wyszynska J, Xu H, Xu L, Yaacob NA, Yan W, Yang L, Yang X, Yang Y, Yasuharu T, Ye X, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zapata ME, Zaw KK, Zejglicova K, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhen S, Zheng Y, Zholdin B, Zhu D, Zins M, Zitt E, Zocalo Y, Zoghlami N, Zuñiga Cisneros J, Ezzati M. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants. Lancet 2021; 398:957-980. [PMID: 34450083 PMCID: PMC8446938 DOI: 10.1016/s0140-6736(21)01330-1] [Citation(s) in RCA: 938] [Impact Index Per Article: 312.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND Hypertension can be detected at the primary health-care level and low-cost treatments can effectively control hypertension. We aimed to measure the prevalence of hypertension and progress in its detection, treatment, and control from 1990 to 2019 for 200 countries and territories. METHODS We used data from 1990 to 2019 on people aged 30-79 years from population-representative studies with measurement of blood pressure and data on blood pressure treatment. We defined hypertension as having systolic blood pressure 140 mm Hg or greater, diastolic blood pressure 90 mm Hg or greater, or taking medication for hypertension. We applied a Bayesian hierarchical model to estimate the prevalence of hypertension and the proportion of people with hypertension who had a previous diagnosis (detection), who were taking medication for hypertension (treatment), and whose hypertension was controlled to below 140/90 mm Hg (control). The model allowed for trends over time to be non-linear and to vary by age. FINDINGS The number of people aged 30-79 years with hypertension doubled from 1990 to 2019, from 331 (95% credible interval 306-359) million women and 317 (292-344) million men in 1990 to 626 (584-668) million women and 652 (604-698) million men in 2019, despite stable global age-standardised prevalence. In 2019, age-standardised hypertension prevalence was lowest in Canada and Peru for both men and women; in Taiwan, South Korea, Japan, and some countries in western Europe including Switzerland, Spain, and the UK for women; and in several low-income and middle-income countries such as Eritrea, Bangladesh, Ethiopia, and Solomon Islands for men. Hypertension prevalence surpassed 50% for women in two countries and men in nine countries, in central and eastern Europe, central Asia, Oceania, and Latin America. Globally, 59% (55-62) of women and 49% (46-52) of men with hypertension reported a previous diagnosis of hypertension in 2019, and 47% (43-51) of women and 38% (35-41) of men were treated. Control rates among people with hypertension in 2019 were 23% (20-27) for women and 18% (16-21) for men. In 2019, treatment and control rates were highest in South Korea, Canada, and Iceland (treatment >70%; control >50%), followed by the USA, Costa Rica, Germany, Portugal, and Taiwan. Treatment rates were less than 25% for women and less than 20% for men in Nepal, Indonesia, and some countries in sub-Saharan Africa and Oceania. Control rates were below 10% for women and men in these countries and for men in some countries in north Africa, central and south Asia, and eastern Europe. Treatment and control rates have improved in most countries since 1990, but we found little change in most countries in sub-Saharan Africa and Oceania. Improvements were largest in high-income countries, central Europe, and some upper-middle-income and recently high-income countries including Costa Rica, Taiwan, Kazakhstan, South Africa, Brazil, Chile, Turkey, and Iran. INTERPRETATION Improvements in the detection, treatment, and control of hypertension have varied substantially across countries, with some middle-income countries now outperforming most high-income nations. The dual approach of reducing hypertension prevalence through primary prevention and enhancing its treatment and control is achievable not only in high-income countries but also in low-income and middle-income settings. FUNDING WHO.
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Gong M, Zhen S, Liu H. Research on the nonlinear dynamic relationship between FDI and CO 2 emissions in the "One Belt, One Road" countries. Environ Sci Pollut Res Int 2021; 28:27942-27953. [PMID: 33523383 DOI: 10.1007/s11356-021-12532-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Accepted: 01/13/2021] [Indexed: 06/12/2023]
Abstract
This study examines the relationship between FDI and CO2 emissions in a nonlinear framework using data from countries along the "One Belt, One Road" from 1979 to 2017 as the sample. First, the linear analysis method was used to examine the stability of FDI and CO2 emissions in countries along the "One Belt, One Road." In addition, the BDS (Brock-Dechert-Scheinkman test) method and nonlinear Granger causality test are used to investigate the nonlinear relationship between variables. Finally, a threshold vector autoregressive model (TVAR) is used to analyze the dynamic change mechanism between China's FDI and CO2 emissions, and a threshold vector error correction model (TVECM) is used to test how the variables respond to deviations from equilibrium. Then, the Markov switching model is used to test the robustness of the results. The research results show that China, India, South Africa, and other countries all have a nonlinear causal relationship between FDI and CO2 emissions. At the same time, the comovement of FDI and CO2 emissions in China has obvious structural break features, which are relevant for the underlying regime. Furthermore, the results also show that the adjustment process of the FDI toward equilibrium is highly persistent in the first regime, and CO2 emissions will adjust to an equilibrium state at a faster speed in the second regime. Therefore, this paper puts forward different policy suggestions for different countries. For China, we should pay attention to the long-term benefits of FDI and introduce high-tech green FDI.
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Affiliation(s)
- Mengqi Gong
- School of Law and Business, Wuhan Institute of Technology, Wuhan, 430205, Hubei, China.
| | - Shiqi Zhen
- School of Law and Business, Wuhan Institute of Technology, Wuhan, 430205, Hubei, China
| | - Haiyun Liu
- School of Economics, Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China
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Iurilli MLC, Zhou B, Bennett JE, Carrillo-Larco RM, Sophiea MK, Rodriguez-Martinez A, Bixby H, Solomon BD, Taddei C, Danaei G, Di Cesare M, Stevens GA, Riley LM, Savin S, Cowan MJ, Bovet P, Damasceno A, Chirita-Emandi A, Hayes AJ, Ikeda N, Jackson RT, Khang YH, Laxmaiah A, Liu J, Miranda JJ, Saidi O, Sebert S, Sorić M, Starc G, Gregg EW, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Ghaffar SA, Rahim HFA, Abu-Rmeileh NM, Garba JA, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Lahou B, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Bo Andersen L, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, 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SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Ko Zaw K, Zdrojewski T, Zejglicova K, Vrkic TZ, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zins M, Zitt E, Zocalo Y, Cisneros JZ, Zuziak M, Ezzati M, Filippi S. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight. eLife 2021; 10:e60060. [PMID: 33685583 PMCID: PMC7943191 DOI: 10.7554/elife.60060] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 01/07/2021] [Indexed: 02/05/2023] Open
Abstract
From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Nayu Ikeda
- National Institutes of Biomedical Innovation, Health and Nutrition
| | | | | | | | - Jing Liu
- Capital Medical University Beijing An Zhen Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Shoaib Afzal
- University of Copenhagen
- Copenhagen University Hospital
| | | | | | | | | | | | | | - Ali Ahmadi
- Shahrekord University of Medical Sciences
| | | | | | | | | | - Kamel Ajlouni
- National Center for Diabetes, Endocrinology and Genetics
| | | | | | | | | | | | | | | | | | | | | | | | - Eman Aly
- World Health Organization Regional Office for the Eastern Mediterranean
| | | | - Parisa Amiri
- Research Center for Social Determinants of Health
| | | | | | | | | | | | | | | | | | - Joana Araújo
- Institute of Public Health of the University of Porto
| | | | | | | | | | | | | | | | | | | | | | | | - Shina Avi
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Abdul Basit
- Baqai Institute of Diabetology and Endocrinology
| | | | | | | | | | | | | | | | | | | | | | | | - Judith Benedics
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | - Hongsheng Bi
- Shandong University of Traditional Chinese Medicine
| | - Yufang Bi
- Shanghai Jiao-Tong University School of Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - João Breda
- World Health Organization Regional Office for Europe
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Laura Censi
- Council for Agricultural Research and Economics
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Angela Chetrit
- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Cora L Craig
- Canadian Fitness and Lifestyle Research Institute
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- The Gertner Institute for Epidemiology and Health Policy Research
| | | | | | | | - Luc Dauchet
- University of Lille
- Lille University Hospital
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- Beijing Center for Disease Prevention and Control
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- Scuola Superiore Sant'Anna
- Al-Farabi Kazakh National University
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- Swiss Tropical and Public Health Institute
- University of Basel
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- World Health Organization Regional Office for the Eastern Mediterranean
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- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Marcel Goldberg
- Institut National de la Santé et de la Recherche Médicale
- Paris University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yin Guo
- Capital Medical University Beijing Tongren Hospital
| | | | - Rajeev Gupta
- Eternal Heart Care Centre and Research Institute
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- Beijing Institute of Ophthalmology
| | | | | | | | | | | | | | - Yuan He
- National Research Institute for Health and Family Planning
| | - Yuna He
- Chinese Center for Disease Control and Prevention
| | | | | | | | | | | | - Ana Henriques
- Institute of Public Health of the University of Porto
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- Institute of Molecular and Clinical Ophthalmology Basel
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- French National Research Institute for Sustainable Development
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- Johns Hopkins Bloomberg School of Public Health
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- Research Institute for Primordial Prevention of Non-communicable Disease
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Slawomir Koziel
- PASs Hirszfeld Institute of Immunology and Experimental Therapy
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- French National Research Institute for Sustainable Development
| | - Vera Lanska
- Institute for Clinical and Experimental Medicine
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- University of Chinese Academy of Sciences
| | | | | | | | | | | | - Lijuan Liu
- Capital Medical University Beijing Tongren Hospital
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- National Research Institute for Health and Family Planning
| | | | | | | | | | - Stefania Maggi
- Institute of Neuroscience of the National Research Council
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- French National Research Institute for Sustainable Development
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- Finnish Institute for Health and Welfare
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jaume Marrugat
- CIBERCV
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jie Mi
- Capital Institute of Pediatrics
| | | | | | | | | | | | | | - GK Mini
- Women’s Social and Health Studies Foundation
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- University of Strasbourg
- Strasbourg University Hospital
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Jorge Motta
- Instituto Conmemorativo Gorgas de Estudios de la Salud
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- Banska Bystrica Regional Authority of Public Health
| | | | | | | | | | | | | | | | | | | | - Keiu Nelis
- National Institute for Health Development
| | - Liis Nelis
- National Institute for Health Development
| | | | | | | | | | | | | | | | - Yury P Nikitin
- SB RAS Federal Research Center Institute of Cytology and Genetics
| | - Guang Ning
- Shanghai Jiao-Tong University School of Medicine
| | | | | | - Marianna Noale
- Institute of Neuroscience of the National Research Council
| | | | | | | | | | | | | | | | | | | | - Eha Nurk
- National Institute for Health Development
| | | | | | | | | | | | | | - Kyungwon Oh
- Korea Centers for Disease Control and Prevention
| | | | - Claes Ohlsson
- University of Gothenburg
- Sahlgrenska University Hospital
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- Institute for Cancer Research, Prevention and Clinical Network
| | | | | | | | | | | | - Francesco Panza
- IRCCS Ente Ospedaliero Specializzato in Gastroenterologia S. de Bellis
| | | | | | - Suyeon Park
- Korea Centers for Disease Control and Prevention
| | | | | | - Ionela M Pascanu
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Iris Pigeot
- Leibniz Institute for Prevention Research and Epidemiology - BIPS
| | | | | | | | | | | | | | | | | | | | | | - Raluca M Pop
- University of Medicine, Pharmacy, Science and Technology of Târgu Mures
| | | | - Miquel Porta
- Institut Hospital del Mar d'Investigacions Mèdiques
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Maria Puiu
- Victor Babes University of Medicine and Pharmacy Timisoara
| | | | | | | | | | | | | | | | | | | | | | - Manu Raj
- Amrita Institute of Medical Sciences
| | | | | | - Ivo Rakovac
- World Health Organization Regional Office for Europe
| | | | | | | | | | - Rafel Ramos
- Institut Universitari d'Investigació en Atenció Primària Jordi Gol
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- National Institute of Health Doutor Ricardo Jorge
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Paola Russo
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | - Nader Saki
- Ahvaz Jundishapur University of Medical Sciences
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- Research and Education Institute of Child Health
| | - Mathilde Savy
- French National Research Institute for Sustainable Development
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- University of New South Wales
- The George Institute for Global Health
| | | | | | | | - Abhijit Sen
- Center for Oral Health Services and Research Mid-Norway
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Alfonso Siani
- Institute of Food Sciences of the National Research Council
| | | | | | | | | | | | | | | | | | | | | | | | | | - Liam Smeeth
- London School of Hygiene & Tropical Medicine
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Igor Spiroski
- Institute of Public Health
- Ss. Cyril and Methodius University
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Lela Sturua
- National Center for Disease Control and Public Health
| | | | | | | | | | | | | | | | | | | | | | | | | | - Lucjan Szponar
- National Institute of Public Health – National Institute of Hygiene
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Pierre Traissac
- French National Research Institute for Sustainable Development
| | | | | | | | - Oanh TH Trinh
- University of Medicine and Pharmacy at Ho Chi Minh City
| | | | | | | | | | | | | | | | | | | | | | - Gilad Twig
- Tel-Aviv University
- Hebrew University of Jerusalem
| | | | | | | | | | - Eunice Ugel
- Universidad Centro-Occidental Lisandro Alvarado
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Anette Varbo
- Copenhagen University Hospital
- University of Copenhagen
| | | | | | | | - Tomas Vega
- Consejería de Sanidad Junta de Castilla y León
| | | | | | | | | | | | | | | | - Lucie Viet
- National Institute for Public Health and the Environment
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Ningli Wang
- Capital Medical University Beijing Tongren Hospital
| | | | | | | | | | | | | | - Adelheid Weber
- Federal Ministry of Social Affairs, Health, Care and Consumer Protection
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Bogdan Wojtyniak
- National Institute of Public Health - National Institute of Hygiene
| | | | | | | | | | - Jean Woo
- The Chinese University of Hong Kong
| | | | | | - Jianfeng Wu
- Shandong University of Traditional Chinese Medicine
| | | | | | - Haiquan Xu
- Institute of Food and Nutrition Development of Ministry of Agriculture and Rural Affairs
| | - Liang Xu
- Beijing Institute of Ophthalmology
| | | | | | - Weili Yan
- Children's Hospital of Fudan University
| | | | | | - Yang Yang
- Shanghai Educational Development Co. Ltd
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Yi Zeng
- Peking University
- Duke University
| | | | | | - Dong Zhao
- Capital Medical University Beijing An Zhen Hospital
| | | | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention
| | | | | | | | - Maigeng Zhou
- Chinese Center for Disease Control and Prevention
| | - Dan Zhu
- Inner Mongolia Medical University
| | - Marie Zins
- Institut National de la Santé et de la Recherche Médicale
- Paris University
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Cui T, Yang G, Ji L, Zhu L, Zhen S, Shi N, Xu Y, Jin H. Chinese Residents' Perceptions of COVID-19 During the Pandemic: Online Cross-sectional Survey Study. J Med Internet Res 2020; 22:e21672. [PMID: 33152684 PMCID: PMC7690970 DOI: 10.2196/21672] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/31/2020] [Accepted: 10/28/2020] [Indexed: 12/21/2022] Open
Abstract
Background COVID-19 has posed a global threat due to substantial morbidity and mortality, and health education strategies need to be adjusted accordingly to prevent a possible epidemic rebound. Objective This study aimed to evaluate the perceptions of COVID-19 among individuals coming to, returning to, or living in Jiangsu Province, China, and determine the impact of the pandemic on the perceptions of the public. Methods In this study, an online questionnaire was distributed to participants between February 15 and April 21, 2020. The questionnaire comprised items on personal information (eg, sex, age, educational level, and occupation); protection knowledge, skills, and behaviors related to COVID-19; access to COVID-19–related information; and current information needs. Factors influencing the knowledge score, skill score, behavior score, and total score for COVID-19 were evaluated using univariate and multivariate analyses. The time-varying reproduction number (Rt) and its 95% credible interval were calculated and compared with the daily participation number and protection scores. Results In total, 52,066 participants were included in the study; their average knowledge score, skill score, behavior score, and total score were 25.58 (SD 4.22), 24.05 (SD 4.02), 31.51 (SD 2.84), and 90.02 (SD 8.87), respectively, and 65.91% (34,315/52,066) had a total protection score above 90 points. For the knowledge and skill sections, correct rates of answers to questions on medical observation days, infectiousness of asymptomatic individuals, cough or sneeze treatment, and precautions were higher than 95%, while those of questions on initial symptoms (32,286/52,066, 62.01%), transmission routes (37,134/52,066, 71.32%), selection of disinfection products (37,390/52,066, 71.81%), and measures of home quarantine (40,037/52,066, 76.90%) were relatively low. For the actual behavior section, 97.93% (50,989/52,066) of participants could wear masks properly when going out. However, 19.76% (10,290/52,066) could not disinfect their homes each week, and 18.42% (9589/52,066) could not distinguish differences in initial symptoms between the common cold and COVID-19. The regression analyses showed that the knowledge score, skill score, behavior score, and total score were influenced by sex, age, educational level, occupation, and place of residence at different degrees (P<.001). The government, television shows, and news outlets were the main sources of protection knowledge, and the information released by the government and authoritative medical experts was considered the most reliable. The current information needs included the latest epidemic developments, disease treatment progress, and daily protection knowledge. The Rt in the Jiangsu Province and mainland China dropped below 1, while the global Rt remained at around 1. The maximal information coefficients ranged from 0.76 to 1.00, which indicated that the public’s perceptions were significantly associated with the epidemic. Conclusions A high proportion of the participants had sufficient COVID-19 protection knowledge and skills and were able to avoid risky behaviors. Thus, it is necessary to apply different health education measures tailored to work and study resumption for specific populations to improve their self-protection and, ultimately, to prevent a possible rebound of COVID-19.
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Affiliation(s)
- Tingting Cui
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Guoping Yang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Lili Ji
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Lin Zhu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Naiyang Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Yan Xu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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Rodriguez-Martinez A, Zhou B, Sophiea MK, Bentham J, Paciorek CJ, Iurilli MLC, Carrillo-Larco RM, Bennett JE, Di Cesare M, Taddei C, Bixby H, Stevens GA, Riley LM, Cowan MJ, Savin S, Danaei G, Chirita-Emandi A, Kengne AP, Khang YH, Laxmaiah A, Malekzadeh R, Miranda JJ, Moon JS, Popovic SR, Sørensen TIA, Soric M, Starc G, Zainuddin AA, Gregg EW, Bhutta ZA, Black R, Abarca-Gómez L, Abdeen ZA, Abdrakhmanova S, Abdul Ghaffar S, Abdul Rahim HF, Abu-Rmeileh NM, Abubakar Garba J, Acosta-Cazares B, Adams RJ, Aekplakorn W, Afsana K, Afzal S, Agdeppa IA, Aghazadeh-Attari J, Aguilar-Salinas CA, Agyemang C, Ahmad MH, Ahmad NA, Ahmadi A, Ahmadi N, Ahmed SH, Ahrens W, Aitmurzaeva G, Ajlouni K, Al-Hazzaa HM, Al-Othman AR, Al-Raddadi R, Alarouj M, AlBuhairan F, AlDhukair S, Ali MM, Alkandari A, Alkerwi A, Allin K, Alvarez-Pedrerol M, Aly E, Amarapurkar DN, Amiri P, Amougou N, Amouyel P, Andersen LB, Anderssen SA, Ängquist L, Anjana RM, Ansari-Moghaddam A, Aounallah-Skhiri H, Araújo J, Ariansen I, Aris T, Arku RE, Arlappa N, Aryal KK, Aspelund T, Assah FK, Assunção MCF, Aung MS, Auvinen J, Avdicová M, Azevedo A, Azimi-Nezhad M, Azizi F, Azmin M, Babu BV, Bæksgaard Jørgensen M, Baharudin A, Bahijri S, Baker JL, Balakrishna N, Bamoshmoosh M, Banach M, Bandosz P, Banegas JR, Baran J, Barbagallo CM, Barceló A, Barkat A, Barros AJD, Barros MVG, Basit A, Bastos JLD, Bata I, Batieha AM, Batista RL, Battakova Z, Batyrbek A, Baur LA, Beaglehole R, Bel-Serrat S, Belavendra A, Ben Romdhane H, Benedics J, Benet M, Bennett JE, Berkinbayev S, Bernabe-Ortiz A, Bernotiene G, Bettiol H, Bezerra J, Bhagyalaxmi A, Bharadwaj S, Bhargava SK, Bhutta ZA, Bi H, Bi Y, Bia D, Bika Lele EC, Bikbov MM, Bista B, Bjelica DJ, Bjerregaard P, Bjertness E, Bjertness MB, Björkelund C, Bloch KV, Blokstra A, Bo S, Bobak M, Boddy LM, Boehm BO, Boeing H, Boggia JG, Bogova E, Boissonnet CP, Bojesen SE, Bonaccio M, Bongard V, Bonilla-Vargas A, Bopp M, Borghs H, Bovet P, Braeckevelt L, Braeckman L, Bragt MCE, Brajkovich I, Branca F, Breckenkamp J, Breda J, Brenner H, Brewster LM, Brian GR, Brinduse L, Brophy S, Bruno G, Bueno-de-Mesquita HB, Bugge A, Buoncristiano M, Burazeri G, Burns C, Cabrera de León A, Cacciottolo J, Cai H, Cama T, Cameron C, Camolas J, Can G, Cândido APC, Cañete F, Capanzana MV, Capková N, Capuano E, Capuano V, Cardol M, Cardoso VC, Carlsson AC, Carmuega E, Carvalho J, Casajús JA, Casanueva FF, Celikcan E, Censi L, Cervantes-Loaiza M, Cesar JA, Chamukuttan S, Chan AW, Chan Q, Chaturvedi HK, Chaturvedi N, Che Abdul Rahim N, Chen CJ, Chen F, Chen H, Chen S, Chen Z, Cheng CY, Cheraghian B, Chetrit A, Chikova-Iscener E, Chiolero A, Chiou ST, Chirita-Emandi A, Chirlaque MD, Cho B, Christensen K, Christofaro DG, Chudek J, Cifkova R, Cilia M, Cinteza E, Claessens F, Clarke J, Clays E, Cohen E, Concin H, Confortin SC, Cooper C, Coppinger TC, Corpeleijn E, Costanzo S, Cottel D, Cowell C, Craig CL, Crampin AC, Crujeiras AB, Csilla S, Cucu AM, Cui L, Cureau FV, D'Arrigo G, d'Orsi E, Dacica L, Dal Re Saavedra MÁ, Dallongeville J, Damasceno A, Damsgaard CT, Danaei G, Dankner R, Dantoft TM, Dasgupta P, Dastgiri S, Dauchet L, Davletov K, De Backer G, De Bacquer D, de Gaetano G, De Henauw S, de Oliveira PD, De Ridder D, De Ridder K, de Rooij SR, De Smedt D, Deepa M, Deev AD, DeGennaro VJ, Dehghan A, Delisle H, Delpeuch F, Demarest S, Dennison E, Deren K, Deschamps V, Dhana K, Dhimal M, Di Castelnuovo AF, Dias-da-Costa JS, Díaz-Sánchez ME, Diaz A, Dika Z, Djalalinia S, Djordjic V, Do HTP, Dobson AJ, Donati MB, Donfrancesco C, Donoso SP, Döring A, Dorobantu M, Dorosty AR, Doua K, Drygas W, Duan JL, Duante CA, Duboz P, Duda RB, Duleva V, Dulskiene V, Dumith SC, Dushpanova A, Dzerve V, Dziankowska-Zaborszczyk E, Eddie R, Eftekhar E, Egbagbe EE, Eggertsen R, Eghtesad S, Eiben G, Ekelund U, El-Khateeb M, El Ati J, Eldemire-Shearer D, Eliasen M, Elliott P, Engle-Stone R, Enguerran M, Erasmus RT, Erbel R, Erem C, Eriksen L, Eriksson JG, Escobedo-de la Peña J, Eslami S, Esmaeili A, Evans 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X, Yiallouros PK, Yoosefi M, Yoshihara A, You QS, You SL, Younger-Coleman NO, Yusof SM, Yusoff AF, Zaccagni L, Zafiropulos V, Zainuddin AA, Zakavi SR, Zamani F, Zambon S, Zampelas A, Zamrazilová H, Zapata ME, Zargar AH, Zaw KK, Zdrojewski T, Zeljkovic Vrkic T, Zeng Y, Zhang L, Zhang ZY, Zhao D, Zhao MH, Zhao W, Zhen S, Zheng W, Zheng Y, Zholdin B, Zhou M, Zhu D, Zocalo Y, Zuñiga Cisneros J, Zuziak M, Ezzati M. Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants. Lancet 2020; 396:1511-1524. [PMID: 33160572 PMCID: PMC7658740 DOI: 10.1016/s0140-6736(20)31859-6] [Citation(s) in RCA: 171] [Impact Index Per Article: 42.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 08/03/2020] [Accepted: 08/19/2020] [Indexed: 02/08/2023]
Abstract
BACKGROUND Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. METHODS For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5-19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. FINDINGS We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9-10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes-gaining too little height, too much weight for their height compared with children in other countries, or both-occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. INTERPRETATION The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks. FUNDING Wellcome Trust, AstraZeneca Young Health Programme, EU.
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JM, Ghanbari A, Ghasemi E, Gheorghe-Fronea OF, Ghimire A, Gianfagna F, Gill TK, Giovannelli J, Gironella G, Giwercman A, Goltzman D, Gonçalves H, Gonzalez-Chica DA, Gonzalez-Gross M, González-Rivas JP, González-Villalpando C, González-Villalpando ME, Gonzalez AR, Gottrand F, Graff-Iversen S, Grafnetter D, Gregor RD, Grodzicki T, Grøntved A, Grosso G, Gruden G, Gu D, Guallar-Castillón P, Guan OP, Gudmundsson EF, Gudnason V, Guerrero R, Guessous I, Gunnlaugsdottir J, Gupta R, Gutierrez L, Gutzwiller F, Ha S, Hadaegh F, Haghshenas R, Hakimi H, Hambleton IR, Hamzeh B, Hantunen S, Kumar RH, Hashemi-Shahri SM, Hata J, Haugsgjerd T, Hayes AJ, He J, He Y, Hendriks ME, Henriques A, Herrala S, Heshmat R, Hill AG, Ho SY, Ho SC, Hobbs M, Hofman A, Homayounfar R, Hopman WM, Horimoto ARVR, Hormiga CM, Horta BL, Houti L, Howitt C, Htay TT, Htet AS, Htike MMT, Huerta JM, Huhtaniemi IT, Huisman M, Hunsberger ML, Husseini AS, Huybrechts I, Hwalla N, Iacoviello L, Iannone AG, Ibrahim MM, Wong NI, Iglesia I, Ikeda N, Ikram MA, Iotova V, Irazola VE, Ishida T, Islam M, al-Safi Ismail A, Iwasaki M, Jacobs JM, Jaddou HY, Jafar T, James K, Jamrozik K, Janszky I, Janus E, Jarvelin MR, Jasienska G, Jelakovic A, Jelakovic B, Jennings G, Jensen GB, Jeong SL, Jha AK, Jiang CQ, Jimenez RO, Jöckel KH, Joffres M, Jokelainen JJ, Jonas JB, Jørgensen T, Joshi P, Joukar F, Józwiak J, Juolevi A, Kafatos A, Kajantie EO, Kalter-Leibovici O, Kamaruddin NA, Kamstrup PR, Karki KB, Katz J, Kauhanen J, Kaur P, Kavousi M, Kazakbaeva G, Keil U, Keinänen-Kiukaanniemi S, Kelishadi R, Keramati M, Kerimkulova A, Kersting M, Khader YS, Khalili D, Khateeb M, Kheradmand M, Khosravi A, Kiechl-Kohlendorfer U, Kiechl S, Killewo J, Kim HC, Kim J, Kim YY, Klumbiene J, Knoflach M, Ko S, Kohler HP, Kohler IV, Kolle E, Kolsteren P, König J, Korpelainen R, Korrovits P, Kos J, Koskinen S, Kouda K, Kowlessur S, Kratzer W, Kriemler S, Kristensen PL, Krokstad S, Kromhout D, Kujala UM, Kurjata P, Kyobutungi C, Laamiri FZ, Laatikainen T, Lachat C, Laid Y, Lam TH, Lambrinou CP, Lanska V, Lappas G, Larijani B, Latt TS, Laugsand LE, Lazo-Porras M, Lee J, Lee J, Lehmann N, Lehtimäki T, Levitt NS, Li Y, Lilly CL, Lim WY, Lima-Costa MF, Lin HH, Lin X, Lin YT, Lind L, Linneberg A, Lissner L, Liu J, Loit HM, Lopez-Garcia E, Lopez T, Lotufo PA, Lozano JE, Luksiene D, Lundqvist A, Lundqvist R, Lunet N, Ma G, Machado-Coelho GLL, Machado-Rodrigues AM, Machi S, Madar AA, Maggi S, Magliano DJ, Magriplis E, Mahasampath G, Maire B, Makdisse M, Malekzadeh F, Malekzadeh R, Rao KM, Manios Y, Mann JI, Mansour-Ghanaei F, Manzato E, Marques-Vidal P, Martorell R, Mascarenhas LP, Mathiesen EB, Matsha TE, Mavrogianni C, McFarlane SR, McGarvey ST, McLachlan S, McLean RM, McLean SB, McNulty BA, Mediene-Benchekor S, Mehdipour P, Mehlig K, Mehrparvar AH, Meirhaeghe A, Meisinger C, Menezes AMB, Menon GR, Merat S, Mereke A, Meshram II, Metcalf P, Meyer HE, Mi J, Michels N, Miller JC, Minderico CS, Mini GK, Miquel JF, Miranda JJ, Mirjalili MR, Mirrakhimov E, Modesti PA, Moghaddam SS, Mohajer B, Mohamed MK, Mohammad K, Mohammadi Z, Mohammadifard N, Mohammadpourhodki R, Mohan V, Mohanna S, Yusoff MFM, Mohebbi I, Mohebi F, Moitry M, Møllehave LT, Møller NC, Molnár D, Momenan A, Mondo CK, Monterrubio-Flores E, Moosazadeh M, Morejon A, Moreno LA, Morgan K, Morin SN, Moschonis G, Mossakowska M, Mostafa A, Mota J, Motlagh ME, Motta J, Msyamboza KP, Muiesan ML, Müller-Nurasyid M, Mursu J, Mustafa N, Nabipour I, Naderimagham S, Nagel G, Naidu BM, Najafi F, Nakamura H, Námešná J, Nang EEK, Nangia VB, Nauck M, Neal WA, Nejatizadeh A, Nenko I, Nervi F, Nguyen ND, Nguyen QN, Nieto-Martínez RE, Nihal T, Niiranen TJ, Ning G, Ninomiya T, Noale M, Noboa OA, Noto D, Nsour MA, Nuhoğlu I, O’Neill TW, O’Reilly D, Ochoa-Avilés AM, Oh K, Ohtsuka R, Olafsson Ö, Olié V, Oliveira IO, Omar MA, Onat A, Ong SK, Ordunez P, Ornelas R, Ortiz PJ, Osmond C, Ostojic SM, Ostovar A, Otero JA, Owusu-Dabo E, Paccaud FM, Pahomova E, Pajak A, Palmieri L, Pan WH, Panda-Jonas S, Panza F, Parnell WR, Patel ND, Peer N, Peixoto SV, Peltonen M, Pereira AC, Peters A, Petersmann A, Petkeviciene J, Peykari N, Pham ST, Pichardo RN, Pigeot I, Pilav A, Pilotto L, Piwonska A, Pizarro AN, Plans-Rubió P, Plata S, Pohlabeln H, Porta M, Portegies MLP, Poudyal A, Pourfarzi F, Poustchi H, Pradeepa R, Price JF, Providencia R, Puder JJ, Puhakka SE, Punab M, Qorbani M, Bao TQ, Radisauskas R, Rahimikazerooni S, Raitakari O, Rao SR, Ramachandran A, Ramos E, Ramos R, Rampal L, Rampal S, Redon J, Reganit PFM, Revilla L, Rezaianzadeh A, Ribeiro R, Richter A, Rigo F, Rinke de Wit TF, Rodríguez-Artalejo F, del Cristo Rodriguez-Perez M, Rodríguez-Villamizar LA, Roggenbuck U, Rojas-Martinez R, Romaguera D, Romeo EL, Rosengren A, Roy JGR, Rubinstein A, Ruidavets JB, Ruiz-Betancourt BS, Russo P, Rust P, Rutkowski M, Sabanayagam C, Sachdev HS, Sadjadi A, Safarpour AR, Safiri S, Saidi O, Saki N, Salanave B, Salmerón D, Salomaa V, Salonen JT, Salvetti M, Sánchez-Abanto J, Sans S, Santaliestra-Pasías AM, Santos DA, Santos MP, Santos R, Saramies JL, Sardinha LB, Sarrafzadegan N, Saum KU, Savva SC, Sawada N, Sbaraini M, Scazufca M, Schaan BD, Schargrodsky H, Scheidt-Nave C, Schienkiewitz A, Schipf S, Schmidt CO, Schöttker B, Schramm S, Sebert S, Sein AA, Sen A, Sepanlou SG, Servais J, Shakeri R, Shalnova SA, Shamah-Levy T, Sharafkhah M, Sharma SK, Shaw JE, Shayanrad A, Shi Z, Shibuya K, Shimizu-Furusawa H, Shin DW, Shin Y, Shirani M, Shiri R, Shrestha N, Si-Ramlee K, Siani A, Siantar R, Sibai AM, Silva DAS, Simon M, Simons J, Simons LA, Sjöström M, Skaaby T, Slowikowska-Hilczer J, Slusarczyk P, Smeeth L, Snijder MB, Söderberg S, Soemantri A, Sofat R, Solfrizzi V, Somi MH, Sonestedt E, Sørensen TIA, Jérome CS, Soumaré A, Sozmen K, Sparrenberger K, Staessen JA, Stathopoulou MG, Stavreski B, Steene-Johannessen J, Stehle P, Stein AD, Stessman J, Stevanović R, Stieber J, Stöckl D, Stokwiszewski J, Stronks K, Strufaldi MW, Suárez-Medina R, Sun CA, Sundström J, Suriyawongpaisal P, Sy RG, Sylva RC, Szklo M, Tai ES, Tamosiunas A, Tan EJ, Tarawneh MR, Tarqui-Mamani CB, Taylor A, Taylor J, Tell GS, Tello T, Thankappan KR, Thijs L, Thuesen BH, Toft U, Tolonen HK, Tolstrup JS, Topbas M, Topór-Madry R, Tormo MJ, Tornaritis MJ, Torrent M, Torres-Collado L, Traissac P, Trinh OTH, Truthmann J, Tsugane S, Tulloch-Reid MK, Tuomainen TP, Tuomilehto J, Tybjaerg-Hansen A, Tzourio C, Ueda P, Ugel E, Ulmer H, Unal B, Uusitalo HMT, Valdivia G, Valvi D, van Dam RM, van der Schouw YT, Van Herck K, Van Minh H, van Rossem L, Van Schoor NM, van Valkengoed IGM, Vanderschueren D, Vanuzzo D, Varbo A, Varona-Pérez P, Vasan SK, Vatten L, Vega T, Veidebaum T, Velasquez-Melendez G, Venero-Fernández SJ, Veronesi G, Verschuren WMM, Victora CG, Vidiawati D, Viet L, Villalpando S, Vioque J, Virtanen JK, Visvikis-Siest S, Viswanathan B, Vlasoff T, Vollenweider P, Voutilainen A, Wade AN, Wagner A, Walton J, Bebakar WMW, Mohamud WNW, Wang MD, Wang N, Wang Q, Wang YX, Wang YW, Wannamethee SG, Wedderkopp N, Wei W, Whincup PH, Widhalm K, Widyahening IS, Wiecek A, Wijga AH, Wilks RJ, Willeit J, Willeit P, Wilsgaard T, Wojtyniak B, Wong-McClure RA, Wong A, Wong TY, Woo J, Woodward M, Wu FC, Wu S, Xu H, Xu L, Yan W, Yang X, Yasuharu T, Ye X, Yeow TP, Yiallouros PK, Yoosefi M, Yoshihara A, You SL, Younger-Coleman NO, Yusoff AF, Zainuddin AA, Zakavi SR, Zali MR, Zamani F, Zambon S, Zampelas A, Zaw KK, Zdrojewski T, Vrkic TZ, Zhang ZY, Zhao W, Zhen S, Zheng Y, Zholdin B, Zhussupov B, Zoghlami N, Cisneros JZ, Gregg EW, Ezzati M. Repositioning of the global epicentre of non-optimal cholesterol. Nature 2020; 582:73-77. [PMID: 32494083 PMCID: PMC7332422 DOI: 10.1038/s41586-020-2338-1] [Citation(s) in RCA: 111] [Impact Index Per Article: 27.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 04/02/2020] [Indexed: 11/25/2022]
Abstract
High blood cholesterol is typically considered a feature of wealthy western countries1,2. However, dietary and behavioural determinants of blood cholesterol are changing rapidly throughout the world3 and countries are using lipid-lowering medications at varying rates. These changes can have distinct effects on the levels of high-density lipoprotein (HDL) cholesterol and non-HDL cholesterol, which have different effects on human health4,5. However, the trends of HDL and non-HDL cholesterol levels over time have not been previously reported in a global analysis. Here we pooled 1,127 population-based studies that measured blood lipids in 102.6 million individuals aged 18 years and older to estimate trends from 1980 to 2018 in mean total, non-HDL and HDL cholesterol levels for 200 countries. Globally, there was little change in total or non-HDL cholesterol from 1980 to 2018. This was a net effect of increases in low- and middle-income countries, especially in east and southeast Asia, and decreases in high-income western countries, especially those in northwestern Europe, and in central and eastern Europe. As a result, countries with the highest level of non-HDL cholesterol-which is a marker of cardiovascular risk-changed from those in western Europe such as Belgium, Finland, Greenland, Iceland, Norway, Sweden, Switzerland and Malta in 1980 to those in Asia and the Pacific, such as Tokelau, Malaysia, The Philippines and Thailand. In 2017, high non-HDL cholesterol was responsible for an estimated 3.9 million (95% credible interval 3.7 million-4.2 million) worldwide deaths, half of which occurred in east, southeast and south Asia. The global repositioning of lipid-related risk, with non-optimal cholesterol shifting from a distinct feature of high-income countries in northwestern Europe, north America and Australasia to one that affects countries in east and southeast Asia and Oceania should motivate the use of population-based policies and personal interventions to improve nutrition and enhance access to treatment throughout the world.
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Mao T, Chen J, Guo H, Qu C, He C, Xu X, Yang G, Zhen S, Li X. The Efficacy of New Chinese Diabetes Risk Score in Screening Undiagnosed Type 2 Diabetes and Prediabetes: A Community-Based Cross-Sectional Study in Eastern China. J Diabetes Res 2020; 2020:7463082. [PMID: 32405505 PMCID: PMC7210548 DOI: 10.1155/2020/7463082] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Accepted: 04/08/2020] [Indexed: 11/20/2022] Open
Abstract
The New Chinese Diabetes Risk Score (NCDRS) is one of the recommended tools for screening undiagnosed type 2 diabetes in China. However, its performance in detecting undiagnosed diabetes needs to be verified in different community populations. Also, it is unknown whether NCDRS can be used in detecting prediabetes. In the present study, we aimed to evaluate the performance of NCDRS in detecting undiagnosed diabetes and prediabetes among the community residents in eastern China. We applied NCDRS in 7675 community residents aged 18-65 years old in Jiangsu Province. The results showed that the participants with undiagnosed diabetes reported the highest NCDRS value, followed by those with prediabetes (P < 0.001). The best cut-off points of NCDRS for detecting undiagnosed diabetes and prediabetes were 27 (with a sensitivity of 78.0% and a specificity of 57.7%) and 27 (with a sensitivity of 66.0% and a specificity of 62.9%). The AUCs of NCDRS for identifying undiagnosed diabetes and prediabetes were 0.749 (95% CI: 0.739~0.759) and 0.694 (95% CI: 0.683~0.705). These results demonstrate the excellent performance of NCDRS in screening undiagnosed diabetes in the community population in eastern China and further provide evidence for using NCDRS in detecting prediabetes.
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Affiliation(s)
- Tao Mao
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Jiayan Chen
- School of Public Health, Nanchang University, Nanchang 330006, China
- Jiangxi Province Key Laboratory of Preventive Medicine, Nanchang 330006, China
| | - Haijian Guo
- Department of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Chen Qu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Chu He
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Xuepeng Xu
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Guoping Yang
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Shiqi Zhen
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
| | - Xiaoning Li
- Department of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China
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Bai L, Xu M, Li W, Han H, Liu J, Fu P, Xu L, Ouyang Y, You X, Chen J, Zou J, Dai Y, Zhen S, Duan S, Liang J, Guo Y. Retrospective case analysis of crayfish-transmitted Haff disease in China during 2016–2017. Food Control 2019. [DOI: 10.1016/j.foodcont.2018.11.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Cao Y, Zhen S, Atlantis E, Shi Z. Dietary magnesium-to-iron intake ratios and risk of impaired fasting glucose in Chinese adults: The prospective Jiangsu Nutrition Study (JIN). Journal of Nutrition & Intermediary Metabolism 2018. [DOI: 10.1016/j.jnim.2018.05.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2022] Open
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Wu X, Yang M, Fang X, Zhen S, Zhang J, Yang X, Qiao L, Yang Y, Zhang C. Expression and regulation of phenol-soluble modulins and enterotoxins in foodborne Staphylococcus aureus. AMB Express 2018; 8:187. [PMID: 30467730 PMCID: PMC6250609 DOI: 10.1186/s13568-018-0717-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 11/17/2018] [Indexed: 12/15/2022] Open
Abstract
Although high levels of staphylococcal phenol-soluble modulins (PSMs) in clinical methicillin-resistant Staphylococcus aureus (MRSA) has been shown to correlate with bacterial virulence, the PSMs expression in foodborne Staphylococcus aureus (S. aureus), as well as its association with staphylococcal food poisoning (SFP) was not yet clear. We collected a panel of 350 foodborne and 127 clinic-derived S. aureus strains and compared their PSMs expression. Overall, foodborne strains exhibited higher PSMs than clinical isolates, indicating a potential pathological significance of PSMs in staphylococcal food contamination. Furthermore, PSMs expression and staphylococcal enterotoxins (SEs) levels in relation to antibiotic sensitive and resistant strains were analysed. While the co-expression of PSMs and SEs was confirmed, one typical foodborne strain simultaneously yielding PSMs, SEB and SED was selected. By comparing this wildtype strain to a series of gene-deficient mutants, we concluded that PSMs and SEs expressions both relied on staphylococcal accessory regulator A initiation in the early stage of accessory gene regulator control, yet their succedent regulations differentiated to RNAIII-dependent and independent, respectively. These data provided preliminary insight into PSMs and SEs expression in foodborne S. aureus, and may guide the further studies on PSMs effects in SFP.
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Guo B, Xie G, Li X, Jiang Y, Jin D, Zhou Y, Dai Y, Zhen S, Sun G. Outbreak of Haff disease caused by consumption of crayfish (Procambarus clarkii) in nanjing, China. Clin Toxicol (Phila) 2018; 57:331-337. [PMID: 30451016 DOI: 10.1080/15563650.2018.1529318] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
CONTEXT This paper reports a detailed epidemiological investigation of a large Haff disease outbreak in Nanjing, China, including laboratory analysis of water, river sediment, and fish. METHODS Structured questionnaires were administered to all case-patients. An unmatched case-control study was conducted to identify the factors affecting the incidence of Haff disease. Thirteen samples of crayfish, together with four samples of water and four samples of sediment were collected and sent for laboratory analysis. RESULTS The disease onset of 494 patients occurred between 2 am on 30 June 2016 and 3 am on 29 August 2016. The median incubation time for onset of symptoms after crayfish ingestion was 7.1 hours (range: 1-20 hours). All patients presented with or developed local or diffuse myalgia. However, no kidney injury was observed. Serum creatinine kinase was elevated in all patients (mean: 4614 U/L, median: 2000 U/L, range: 81-55200 U/L). The average number of crayfish consumed by patients on the day of illness was 20 (2-80). The case-control study revealed that eating a large quantity of crayfish, drinking alcohol, and eating the crayfish head and/or intestines were associated with an increased risk of disease. Chemical analysis of crayfish, river water and sediment did not identify known or novel toxins including anticoccidiosis drugs, niclosamide, organophosphorus pesticides, and microcystins. CONCLUSION An outbreak of Haff Disease was associated with consumption of crayfish from the Yangtze River and its surrounding water system. Eating a large quantity of crayfish, eating the head and/or intestines, and consuming alcohol with the crayfish were associated with the development of Haff Disease.
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Affiliation(s)
- Baofu Guo
- a Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health , Southeast University , Nanjing , China.,b Nanjing Municipal Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Guoxiang Xie
- b Nanjing Municipal Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Xiaocheng Li
- b Nanjing Municipal Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Yun Jiang
- b Nanjing Municipal Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Di Jin
- b Nanjing Municipal Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Yonglin Zhou
- c Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Yue Dai
- c Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Shiqi Zhen
- c Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , Jiangsu , China
| | - Guiju Sun
- a Key Laboratory of Environmental Medicine and Engineering of Ministry of Education, and Department of Nutrition and Food Hygiene, School of Public Health , Southeast University , Nanjing , China
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Mutter S, Casey AE, Zhen S, Shi Z, Mäkinen VP. Multivariable Analysis of Nutritional and Socio-Economic Profiles Shows Differences in Incident Anemia for Northern and Southern Jiangsu in China. Nutrients 2017; 9:nu9101153. [PMID: 29065474 PMCID: PMC5691769 DOI: 10.3390/nu9101153] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 09/06/2017] [Accepted: 10/19/2017] [Indexed: 12/20/2022] Open
Abstract
Anemia is a prevalent public health problem associated with nutritional and socio-economic factors that contribute to iron deficiency. To understand the complex interplay of risk factors, we investigated a prospective population sample from the Jiangsu province in China. At baseline, three-day food intake was measured for 2849 individuals (20 to 87 years of age, mean age 47 ± 14, range 20-87 years, 64% women). At a five-year follow-up, anemia status was re-assessed for 1262 individuals. The dataset was split and age-matched to accommodate cross-sectional (n = 2526), prospective (n = 837), and subgroup designs (n = 1844). We applied a machine learning framework (self-organizing map) to define four subgroups. The first two subgroups were primarily from the less affluent North: the High Fibre subgroup had a higher iron intake (35 vs. 21 mg/day) and lower anemia incidence (10% vs. 25%) compared to the Low Vegetable subgroup. However, the predominantly Southern subgroups were surprising: the Low Fibre subgroup showed a lower anemia incidence (10% vs. 27%), yet also a lower iron intake (20 vs. 28 mg/day) compared to the High Rice subgroup. These results suggest that interventions and iron intake guidelines should be tailored to regional, nutritional, and socio-economic subgroups.
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Affiliation(s)
- Stefan Mutter
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia.
- School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia.
| | - Aaron E Casey
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia.
- School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia.
| | - Shiqi Zhen
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing 210009, China.
| | - Zumin Shi
- School of Medicine, University of Adelaide, Adelaide SA 5005, Australia.
| | - Ville-Petteri Mäkinen
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide SA 5000, Australia.
- School of Biological Sciences, University of Adelaide, Adelaide SA 5005, Australia.
- Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, 90014 Oulu, Finland.
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Shi Z, Zhen S, Qi L, Zhou Y, Taylor AW. Association between rice intake and all-cause mortality among Chinese adults: findings from the Jiangsu Nutrition Study. Asia Pac J Clin Nutr 2017; 26:1152-1157. [PMID: 28917243 DOI: 10.6133/apjcn.012017.05] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND OBJECTIVES The few studies that have assessed the association between rice intake and mortality have generated inconsistent results. We assessed whether rice intake was associated with cardiovascular disease (CVD) mortality, cancer mortality and all-cause mortality in a prospective cohort of the Chinese population. METHODS AND STUDY DESIGN We prospectively studied 2,832 adults aged 20 years and above with a mean follow up of 10 years. Rice intake was measured by a 3-day weighed food record (WFR) in 2002. Hazard ratios (HRs) and 95% CI were calculated by competing risks regression (CVD and cancer mortality) and Cox proportional hazards analysis (all-cause mortality). RESULTS We documented 184 deaths (including 70 CVD deaths and 63 cancer deaths) during 27,742 person-years of follow-up. No association between rice intake and all-cause mortality was found. After adjusting for sociodemographic and lifestyle factors as well as energy and fat intake, HRs for CVD mortality across tertiles of rice intake were 1.00,0.47 (95% CI 0.25-0.87), and 0.49 (95% CI 0.21-1.13) (p for trend 0.049). CONCLUSIONS There was no association between rice intake and all-cause mortality.
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Affiliation(s)
- Zumin Shi
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.,Discipline of Medicine, University of Adelaide, Adelaide, Australia.
| | - Shiqi Zhen
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Lu Qi
- School of Public Health and Tropical Medicine, Tulane University, USA
| | - Yijing Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Anne W Taylor
- Discipline of Medicine, University of Adelaide, Adelaide, Australia
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Liu W, He MZ, Wang Y, Wang Y, Zhou Y, Wu M, Tang Z, Dai Y, Yuan B, Zhen S, Cheskin LJ. Differences in health-related behaviors between middle school, high school, and college students in Jiangsu province, China. Asia Pac J Clin Nutr 2017; 26:731-737. [PMID: 28582827 PMCID: PMC6548715 DOI: 10.6133/apjcn.072016.06] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND OBJECTIVES Increasing rates of obesity among Chinese adolescents has become a major public health concern in recent years. Studies have shown that factors such as food choices, physical activity, and screen time play important roles in fostering obesity. We examined a number of biological and social determinants that influence these factors. To determine whether dietary behavior, physical activity, and screen time varied among students in different stages of their education. METHODS AND STUDY DESIGN Students in 13 cities across Jiangsu Province completed an anonymous survey assessing demographics and various health-related behaviors in a controlled setting. The survey population ranged from middle school students to undergraduates. 55,361 surveys were returned, and 46,611 (84.2%) were usable for the analysis. Multiple linear regression models were used to investigate the relationship between four behavioral factors (dietary behavior, screen time, physical activity, and moderate exercise) and seven predictors (gender, age, BMI, mother's education, nearsightedness, allowance, and geographic region). RESULTS Baseline characteristics of the survey population analyzed by education level (middle school, high school, college and beyond) showed moderate differences in demographics among the three groups. Physical activity, moderate exercise, and dietary behavior decreased with educational level, while screen time increased. All predictors in the four considered regression models were statistically significant. CONCLUSIONS This unique, large-scale survey of Chinese students in a region of contrasting economic development revealed numerous relationships between health-related diet and physical-activity, region, and education level. These findings can inform the development of measures to counteract the rise of obesity in China.
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Affiliation(s)
- Weina Liu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Mike Z He
- Columbia University Mailman School of Public Health, New York, USA
| | - Yunle Wang
- University of Washington - Seattle School of Public Health, Seattle, Washington, USA
| | - Yan Wang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yonglin Zhou
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Ming Wu
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Zhen Tang
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yue Dai
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Baojun Yuan
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Shiqi Zhen
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China. ;
| | - Lawrence J Cheskin
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
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Shi Z, Zhen S, Orsini N, Zhou Y, Zhou Y, Liu J, Taylor AW. Association between dietary lead intake and 10-year mortality among Chinese adults. Environ Sci Pollut Res Int 2017; 24:12273-12280. [PMID: 28357790 DOI: 10.1007/s11356-017-8871-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2016] [Accepted: 03/20/2017] [Indexed: 06/06/2023]
Abstract
Blood lead level is associated with increased risk of mortality, but dietary lead exposure and mortality, particularly with cancer, has not been studied in the general population. The objective of the study was to assess the association between lead intake and 10-year mortality among 2832 Chinese adults. Food intake was measured by 3-day weighed food record in 2002. We documented 184 deaths (63 cancer deaths and 70 cardiovascular disease (CVD) deaths) during 27,742 person-years of follow-up. Dietary lead intake was positively associated with cancer and all-cause mortality. Across quartiles of lead intake, hazard ratios (HRs) for cancer mortality were 1.00, 0.80 (0.33-1.92), 1.52 (0.65-3.56), and 3.00 (1.06-8.44) (p for trend 0.028). HRs for all-cause mortality were 1.00, 1.28 (0.83-1.98), 1.24 (0.78-1.97), and 2.24 (1.28-3.94) (p for trend 0.011). Each 30 μg/day increase of lead intake was associated with 25% (95% CI 3-52%) increase of all-cause mortality. There was an interaction between lead intake and hypertension in relation to CVD mortality (p for interaction 0.003): HRs conferred by every 30 μg/day of lead intake were 1.57 (0.98-2.52) and 1.06 (0.81-1.39) among those with or without hypertension. Dietary lead intake was positively related to cancer and all-cause mortality.
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Affiliation(s)
- Zumin Shi
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
- Discipline of Medicine, University of Adelaide, L7 SAHMRI, North Terrace, Adelaide, 5000, Australia.
- Discipline of Medicine, University of Adelaide, 122 Frome Street, Adelaide, 5005, Australia.
| | - Shiqi Zhen
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Nicola Orsini
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yonglin Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Yijing Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Jianghong Liu
- University of Pennsylvania School of Nursing, Philadelphia, PA, USA
| | - Anne W Taylor
- Discipline of Medicine, University of Adelaide, L7 SAHMRI, North Terrace, Adelaide, 5000, Australia
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Cao Y, Taylor AW, Zhen S, Adams R, Appleton S, Shi Z. Soy Isoflavone Intake and Sleep Parameters over 5 Years among Chinese Adults: Longitudinal Analysis from the Jiangsu Nutrition Study. J Acad Nutr Diet 2017; 117:536-544.e2. [PMID: 27956174 DOI: 10.1016/j.jand.2016.10.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 10/12/2016] [Indexed: 10/20/2022]
Abstract
BACKGROUND Soy isoflavone is beneficial for menopausal/postmenopausal symptoms, including sleep complaints. However, little is known about its longitudinal association with sleep in the general population. OBJECTIVE Our aim was to investigate the association between soy isoflavone intake and sleep duration and daytime falling asleep among Chinese adults. DESIGN A longitudinal analysis was performed. Soy isoflavone intake was assessed by food frequency questionnaire. Sleep duration was self-reported at two time points. Occurrence of daytime falling asleep was determined at follow-up. Short and long sleep were defined as sleep <7 h/day or ≥9 h/day, respectively. PARTICIPANTS/SETTING Adults aged 20 years and older from the Jiangsu Nutrition Study (2002-2007) with complete isoflavone intake and sleep duration data at both time points (n=1,474) were analyzed (follow-up, n=1,492). MAIN OUTCOME MEASURES We measured sleep duration in 2002 and 2007 and daytime falling asleep occurrence in 2007. STATISTICAL ANALYSES PERFORMED Mixed-effects logistic regression was performed for repeated measures between isoflavone intake and sleep duration. Logistic regression was performed for daytime falling asleep at follow-up. Demographic, anthropometric, and social factors were adjusted in the analyses. RESULTS The prevalence of long sleep duration was 18.9% in 2002 and 12.6% in 2007, and the prevalence of daytime falling asleep was 5.3%. Compared with the lowest quartile of isoflavone intake, the highest quartile was associated with a lower risk of long sleep duration (odds ratio=0.66; 95% CI 0.48 to 0.90; P for trend=0.018) over 5 years. Compared with persistent low intake of isoflavone (less than median intake of isoflavone at two time points), persistent high intake was associated with a reduced risk of daytime falling asleep in women (odds ratio=0.20; 95% CI 0.06 to 0.68), but not men. No consistent association between soy isoflavone intake and short sleep duration was found. CONCLUSIONS Soy isoflavone intake was associated with a low risk of long sleep duration in both sexes and a low risk of daytime falling asleep in women but not men.
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Shi Z, Zhen S, Zimmet PZ, Zhou Y, Zhou Y, Magliano DJ, Taylor AW. Association of impaired fasting glucose, diabetes and dietary patterns with mortality: a 10-year follow-up cohort in Eastern China. Acta Diabetol 2016; 53:799-806. [PMID: 27311686 DOI: 10.1007/s00592-016-0875-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 06/02/2016] [Indexed: 01/09/2023]
Abstract
AIMS To examine the association between impaired fasting glucose (IFG)/type 2 diabetes and mortality as well as to explore any interactions with dietary intake patterns in a Chinese population. METHODS We followed 2849 Chinese adults aged 20 years and older for 10 years. Fasting plasma glucose was measured at baseline in 2002. Dietary patterns were constructed using factor analysis. Hazard ratios (HRs) and 95 % confidence interval (CI) were calculated by Cox proportional hazards analysis (all-cause mortality) and competing risks regression [cardiovascular disease (CVD)]. RESULTS Of the 2849 participants, 102 had diabetes and 178 had impaired fasting glucose (IFG) at baseline. We documented 184 deaths (70 CVD deaths) during 27,914 person-years of follow-up. Diabetes was associated with death from all causes (HR 2.69, 95 % CI 1.62-4.49) after adjusting for sociodemographic and lifestyle factors. Diabetes had a HR of 1.97 (95 % CI 0.84-4.60) for CVD death. IFG had 83 % increased risk of all-cause mortality. Among those with low and high intake of a vegetable-rich dietary pattern, the HR of IFG/diabetes for all-cause mortality was 3.25 (95 %CI 1.95-5.44) and 1.38 (95 % CI 0.75-2.55) (p for interaction 0.019), respectively. CONCLUSIONS Diabetes and IFG are associated with a substantial increased risk of death in Chinese adults. Dietary patterns associated with a high intake of vegetable were associated with a decrease in the risk of mortality for those with IFG/diabetes.
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Affiliation(s)
- Zumin Shi
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China.
- Discipline of Medicine, University of Adelaide, Level 7, SAHMRI, North TCE, Adelaide, 5000, Australia.
| | - Shiqi Zhen
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Paul Z Zimmet
- BakerIDI Heart and Diabetes Institute, Melbourne, Australia
- Department of Medicine, Monash University, Melbourne, Australia
| | - Yonglin Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | - Yijing Zhou
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Centre for Disease Control and Prevention, Nanjing, China
| | | | - Anne W Taylor
- Discipline of Medicine, University of Adelaide, Level 7, SAHMRI, North TCE, Adelaide, 5000, Australia
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Mayyas E, Vance S, Brown S, Liu J, Kim J, Zhen S, Devpura S, Ajlouni M, Salim S, Chetty I, Movsas B. WE-AB-207B-12: Prospective Study of the Relationship Between Dose-Volume Clinical Toxicity and Patient Reported Outcomes in Lung Cancer Patients Treated with SBRT. Med Phys 2016. [DOI: 10.1118/1.4957793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
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Chen Y, Yuan B, Xie G, Zhen S, Zhou Y, Shao B, Zhang J, Ji H, Wu Y. Outbreak of Haff Disease caused by consumption of crayfish (Procambarus clarkii), Nanjing, Jiangsu Province, China. Food Control 2016. [DOI: 10.1016/j.foodcont.2015.06.031] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Wang X, Luo H, Wang J, Chen C, Cai Y, Zhen S, Zhou L, Zeng C. ASSA14-03-07 PrenatalLipopolysaccharideExposure Results in Dysfunction of Renal Dopamine D1Receptor in Offspring Rats. Heart 2015. [DOI: 10.1136/heartjnl-2014-307109.26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
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Shi Z, Zhen S, Qi L, Zhou Y, Taylor A. Rice intake is inversely related to cardiovascular mortality among Chinese adults. Journal of Nutrition & Intermediary Metabolism 2014. [DOI: 10.1016/j.jnim.2014.10.090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Ruel G, Shi Z, Zhen S, Zuo H, Kröger E, Sirois C, Lévesque JF, Taylor AW. Association between nutrition and the evolution of multimorbidity: The importance of fruits and vegetables and whole grain products. Clin Nutr 2014; 33:513-20. [DOI: 10.1016/j.clnu.2013.07.009] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 07/10/2013] [Accepted: 07/10/2013] [Indexed: 12/19/2022]
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Shi Z, Yuan B, Taylor AW, Zhen S, Zuo H, Dai Y, Wittert GA. Riboflavin intake and 5-year blood pressure change in Chinese adults: interaction with hypertensive medication. Food Nutr Bull 2014; 35:33-42. [PMID: 24791577 DOI: 10.1177/156482651403500105] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND One previous large cross-sectional study across four countries suggests that riboflavin intake may be inversely associated with blood pressure. OBJECTIVE The aim of this analysis was to investigate a possible association between riboflavin intake and change in blood pressure over 5 years. METHODS The study population comprised Chinese men and women who participated in the Jiangsu Nutrition Study. Quantitative data relating to riboflavin intake at baseline in 2002 and measurements of blood pressure at baseline and follow-up in 2007 were available for 1,227 individuals. RESULTS Overall, 97.2% of the participants had inadequate riboflavin intake (below the Estimated Average Requirement). In multivariable analysis adjusted for sociodemographic and lifestyle factors and dietary patterns, a higher riboflavin intake was inversely associated with change in systolic blood pressure (p = .036). In participants taking antihypertensive medication at baseline, the relationship between riboflavin intake and systolic blood pressure persisted; whereas, in those not taking antihypertensive medication, the diastolic blood pressure was less likely to increase with the increasing intake of riboflavin (p = .031). There was a three-way interaction between antihypertensive medications, body mass index, and riboflavin intake. Among those who were obese and taking antihypertensive medication, a higher riboflavin intake was associated with a smaller increment in systolic blood pressure and pulse pressure. CONCLUSIONS There are complex interactions between riboflavin intake and blood pressure change that depend on prior antihypertensive use and the presence or absence of obesity.
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Shi Z, Zhang C, Zhou M, Zhen S, Taylor AW. Exposure to the Chinese famine in early life and the risk of anaemia in adulthood. BMC Public Health 2013; 13:904. [PMID: 24079608 PMCID: PMC3849930 DOI: 10.1186/1471-2458-13-904] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2013] [Accepted: 09/25/2013] [Indexed: 12/17/2022] Open
Abstract
Background Famine exposure during the early stage of life is related to a number of adulthood diseases. The objective of this study was to examine the association of early life exposure to the famine in China (1959–1961) with the risk of anaemia in adulthood. Methods We used the data of 2007 adults born between 1954 and 1964 in Jiangsu province from the 2002 Chinese National Nutrition and Health Survey. Anaemia was defined as haemoglobin concentration <12 g/dl in women and <13 g/dl in men. Results Prevalence of anaemia in adulthood in nonexposed, fetal-exposed, early-childhood, mid-childhood, and late-childhood exposed to famine groups were 26.0%, 33.8%, 28.1%, 28.2% and 29.7%, respectively. Overall, fetal-exposed to famine was associated with 37% increased risk of anaemia as compared with those non-exposed after adjusting for income, education, place of residence, smoking, alcohol drinking, job, hypertension and BMI; relative risk (95% confidence interval) (RR (95% CI)) was 1.37 (1.09, 1.71). In general, this association appeared to be stronger among men, those who were currently overweight or obese, or those of lower educational levels. Corresponding RR (95% CI) was 1.87 (1.21-2.87), 1.75 (1.20-2.56), and 2.07 (1.37-3.12), respectively. Conclusions Fetal exposure to the Chinese famine was associated with an increased risk of anaemia in adulthood.
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Affiliation(s)
- Zumin Shi
- Department of Nutrition and Foodborne Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
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Abstract
BCSC-1 is dramatically upregulated in CNE-2L2 human nasopharyngeal carcinoma cells with reduced malignancy (AS cells) and is proposed to be a candidate tumor suppressor gene. We therefore examined the effect of BCSC-1 expression on malignant behaviors of CNE-2L2 cells. Growth in vitro and tumorigenesis in nude mice of wild-type CNE-2L2 cells (W cells) were inhibited by ectopic BCSC-1, and those of AS cells were promoted by BCSC-1 suppression. The tumor suppressor function of BCSC-1 was further confirmed by a study showing that intratumor BCSC-1 injection caused growth suppression of the tumor from W cells inoculated in nude mice. Immunohistochemistry exhibited marked reduction of BCSC-1 expression in 11 of 39 human nasopharyngeal carcinoma specimens. Because BCSC-1 expression was as rich as that in normal cells in the rest of the carcinoma specimens and was poor in CNE-2L2 cells, HNE-1 human nasopharyngeal carcinoma cells with rich BCSC-1 expression were used as a control in the study. No effect of BCSC-1 transfection on growth of the cells was observed. The data suggest that BCSC-1 suppression might play roles in tumorigenesis of some nasopharyngeal carcinomas and that BCSC-1 might be a potential gene therapy target in nasopharyngeal carcinomas with poor BCSC-1 expression. Enhanced aggregation of cells together with increased E-cadherin and alpha-catenin expression and reduced Wnt signaling might be involved in the mechanisms of tumor suppressor function of BCSC-1.
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Affiliation(s)
- Y Q Zhou
- Department of Immunology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, China
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Yao M, Zhu T, Li K, Dong S, Wu Y, Qiu X, Jiang B, Chen L, Zhen S. Onsite infectious agents and toxins monitoring in 12 May Sichuan earthquake affected areas. ACTA ACUST UNITED AC 2009; 11:1993-2001. [DOI: 10.1039/b910243d] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Zhen S, Zakaria M, Wolfe A, Radovick S. Regulation of gonadotropin-releasing hormone (GnRH) gene expression by insulin-like growth factor I in a cultured GnRH-expressing neuronal cell line. Mol Endocrinol 1997; 11:1145-55. [PMID: 9212061 DOI: 10.1210/mend.11.8.9956] [Citation(s) in RCA: 50] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
A GnRH-expressing neuronal cell line (NLT) was used to determine whether insulin-like growth factor I (IGF-I) regulates GnRH gene expression. A receptor-binding assay demonstrated the expression of IGF-I receptors on NLT cells. Activation of IGF-I receptors induced the Ras/Raf-1/mitogen-activated protein kinase pathway and increased c-fos expression. NLT cells treated with IGF-I underwent cell proliferation and exhibited a growth-independent increase in mouse GnRH mRNA expression. In cells transfected with DNA constructs containing the human GnRH promoter, which includes a consensus AP-1 binding site fused to the luciferase reporter gene, a significant increase in reporter activities was induced by IGF-I, whereas mutation of this AP-1 site significantly reduced IGF-I-induced promoter activation. These results demonstrate that IGF-I serves as an important signal in the regulation of both human and rodent GnRH gene expression.
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Affiliation(s)
- S Zhen
- Division of Endocrinology, Children's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
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Zhen S, Dunn IC, Wray S, Liu Y, Chappell PE, Levine JE, Radovick S. An alternative gonadotropin-releasing hormone (GnRH) RNA splicing product found in cultured GnRH neurons and mouse hypothalamus. J Biol Chem 1997; 272:12620-5. [PMID: 9139717 DOI: 10.1074/jbc.272.19.12620] [Citation(s) in RCA: 47] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Gonadotropin-releasing hormone (GnRH) is encoded by the proGnRH gene which contains four exons and three introns. In this study, two immortalized GnRH-expressing cell lines (Gn11 and NLT) were characterized. The NLT and Gn11 cells, derived from a same brain tumor in a transgenic mouse, display neuronal morphology and neuron-specific markers. However, NLT cells secrete much higher levels of GnRH than Gn11 cells. To delineate the mechanism underlying this difference, reverse transcriptase-polymerase chain reaction and RNase protection assays were performed to examine proGnRH gene expression. While the mature proGnRH mRNA was predominately expressed in NLT cells, Gn11 cells express an abundant short transcript. Sequence analysis revealed that this short transcript contains exons 1, 3, and 4, but not exon 2, which encodes the GnRH decapeptide. RNase protection assays demonstrated that NLT cells express much higher levels of mature proGnRH mRNA than Gn11 cells. The lower level of GnRH secreting capacity in Gn11 cells is due, in part, to decreased expression of mature proGnRH mRNA. When proGnRH gene expression in the mouse brain was examined, the same short splicing variant was observed in the olfactory area and preoptic area-anterior hypothalamus. But the prevalent transcript in these regions was the mature proGnRH mRNA. In contrast, only the mature proGnRH mRNA was found in the caudal hypothalamus. These results suggest that alternative splicing may be one of the mechanisms regulating proGnRH gene expression in the animal brain.
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Affiliation(s)
- S Zhen
- Department of Medicine, Division of Endocrinology, Children's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
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Zakaria M, Dunn IC, Zhen S, Su E, Smith E, Patriquin E, Radovick S. Phorbol ester regulation of the gonadotropin-releasing hormone (GnRH) gene in GnRH-secreting cell lines: a molecular basis for species differences. Mol Endocrinol 1996; 10:1282-91. [PMID: 9121495 DOI: 10.1210/mend.10.10.9121495] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
Phorbol ester 12-O-tetradecanoyl phorbol-13-acetate (TPA) regulation of the GnRH gene was studied in two mouse GnRH neuronal cell lines, Gn11 and NLT. TPA treatment of NLT cells grown in low serum conditions did not alter endogenous mouse GnRH mRNA levels, indicating that the endogenous mouse gene is not regulated by phorbol esters under these conditions. This result is confirmed in transfection studies in which TPA treatment did not change expression of a mouse GnRH-luciferase reporter gene construct. In contrast, TPA treatment stimulated expression of a human GnRH-luciferase reporter construct, correlating with the expression of the protoon-cogenes c-fos and c-jun. TPA stimulation of the human GnRH gene is mediated by a consensus AP-1 site located at -402 to -396 bp, TGACTCA, which specifically binds c-fos and c-jun in Gn11 and NLT cells and recombinant c-jun in gel mobility shift studies. In contrast, the rodent GnRH genes, when aligned for maximum homology, contain a DNA sequence with a 1-bp difference, TGTCTCA from the human gene. In gel mobility shift studies, this DNA sequence does not form a complex with Gn11 or NLT nuclear extract or with recombinant c-jun. This is the first demonstration of species-specific differences in phorbol ester regulation of GnRH gene transcription and could, in part, explain differences in reproductive function among mammals.
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Affiliation(s)
- M Zakaria
- Department of Medicine, Children's Hospital, Boston, Massachusetts, USA
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Zhen S, Gallo RV. The role of norepinephrine in mediating luteinizing hormone release in response to blockade of kappa-opioid receptors in the medial preoptic area. Brain Res 1995; 698:121-9. [PMID: 8581470 DOI: 10.1016/0006-8993(95)00874-p] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Our previous study [32] indicated that blockade of kappa-opioid receptors with nor-binaltorphimine (nor-BNI) in the medial preoptic area (MPOA) produced two different LH responses during midpregnancy in the rat: an increase in basal pulsatile LH secretion, followed in many cases by a larger and/or sustained increase in LH release. In the present study, two experiments were conducted to examine the role of norepinephrine (NE) in mediating these different LH responses. In experiment 1, the effects of NE synthesis inhibition with FLA-63 on nor-BNI induced LH secretion were examined. In 5 of 9 vehicle pretreated rats, nor-BNI perfusion in the MPOA produced only an increase in basal pulsatile LH secretion. In the remaining 4 animals blockade of MPOA kappa-receptors produced not only an increase in basal LH secretion, but also a large/sustained release of LH. Pretreatment with FLA-63 had no effect on the nor-BNI induced increase in basal pulsatile LH secretion, but completely prevented the occurrence of the large/sustained release of LH. The objective of experiment 2 was to determine whether any change in NE release occurred at the site of nor-BNI perfusion in rats showing this large/sustained increase in plasma LH levels, by measuring in vivo NE release at that site. No significant change in perfusate NE levels was observed during perfusion of the MPOA with nor-BNI alone or in combination with desipramine, a NE reuptake blocker, in rats that showed this type of LH response. These results demonstrate that while NE does not mediate the increase in basal pulsatile LH release produced by nor-BNI perfusion in the MPOA, it is essential for the large/sustained elevation in LH secretion seen in response to blockade of kappa-opioid receptors at this site. This latter type of LH secretory response is not, however, associated with an increase in NE release directly at the site of kappa-opioid receptor blockade in the MPOA in pregnant rats.
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Affiliation(s)
- S Zhen
- Department of Physiology and Neurobiology, University of Connecticut, Storrs 06269-4154, USA
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Yuqin M, Zhonglun Z, Zhen S, Bin M, Yanzhen Z, Chengxiang L, Yingyan W, Jiguang W. SO2-induced change of spectrum in low-level chemiluminescence from leaf of Populus tomentosa. Bull Environ Contam Toxicol 1995; 55:136-141. [PMID: 7663083 DOI: 10.1007/bf00212400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Affiliation(s)
- M Yuqin
- Institute of Biophysics, Academia Sinica, Beijing, People's Republic of China
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Zhen S, Gallo RV. Lack of catecholamine involvement in the increased luteinizing hormone release due to blockade of kappa-opioid receptors in the medial basal hypothalamus during midpregnancy in the rat. Brain Res 1994; 642:178-84. [PMID: 8032878 DOI: 10.1016/0006-8993(94)90920-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Blockade of kappa-opioid receptors in the medial basal hypothalamus (MBH) with nor-binaltorphimine (nor-BNI) stimulates luteinizing hormone (LH) release during midpregnancy in the rat [48]. The objective of this study was to determine whether norepinephrine (NE) or dopamine (DA) mediates the LH response to blockade of MBH kappa-opioid receptors on days 13-17 of pregnancy in the rat. Two experiments were conducted. In the first, push-pull perfusion in conjunction with HPLC was used to monitor in vivo NE release in the MBH occurring in response to (a) artificial CSF followed by CSF containing nor-BNI (40 micrograms/h), (b) desipramine (DMI, a NE reuptake blocker, 10 microM) in CSF followed by DMI, and (c) DMI followed by DMI+nor-BNI. Blood samples were taken at 12 min intervals concurrent with push-pull perfusate samples. Plasma LH levels were determined by RIA. Nor-BNI significantly increased LH release compared to CSF alone, but perfusate NE was undetectable in either perfusion period. However, perfusion with CSF containing 100 mM K+ in these rats markedly increased perfusate NE levels, indicating noradrenergic nerve terminals were present at the perfusion sites in the MBH. Addition of DMI to the CSF significantly increased perfusate NE levels, but produced no change in LH release. Nor-BNI+DMI perfusion increased LH secretion similar to nor-BNI alone, but produced no additional increase in MBH perfusate NE levels compared to perfusion with DMI alone.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- S Zhen
- Department of Physiology and Neurobiology, University of Connecticut, Storrs 06269-4154
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Zhen S, Gallo RV. The effect of blockade of kappa-opioid receptors in the medial basal hypothalamus and medial preoptic area on luteinizing hormone release during midpregnancy in the rat. Endocrinology 1992; 131:1650-6. [PMID: 1327717 DOI: 10.1210/endo.131.4.1327717] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The objective of this study was to determine if kappa-opioid receptors present in the medial preoptic area (MPOA) and medial basal hypothalamus (MBH) are involved in opioid peptide suppression of LH secretion during midpregnancy (day 13-16) in the rat. Nor-binaltorphimine (nor-BNI), a selective antagonist of brain kappa-opioid receptors, was applied directly to the MPOA or MBH for 3.5 h by means of push-pull perfusion. Nor-BNI perfusion in the MBH produced a dose-dependent increase in LH pulse frequency as well as increases in blood LH level. The effect on amplitude could not be determined, since too few pulses occurred in cerebrospinal fluid-treated control rats. Nor-BNI perfusion in the MPOA also increased LH pulse frequency. Moreover, in the majority (62%) of rats perfused with nor-BNI in the MPOA, the final 1.5 h of perfusion were unexpectedly characterized by an increase in LH that was of greater magnitude and more prolonged than an LH pulse and produced an elevation in blood LH levels. This delayed LH response did not occur in any rat perfused in the MBH. Perfusion with nor-BNI in the diagonal band of Broca had no significant effect on LH secretion. The LH responses observed during nor-BNI perfusion in the MPOA or MBH were not due to spread to the third ventricle and subsequent diffusion via the cerebrospinal fluid to another brain site, since perfusion with nor-BNI in an area of the ventral thalamus close to the third ventricle had no effect on LH release. These results provide support for the involvement of kappa-opioid receptor-mediated mechanisms in both the MPOA and MBH in the suppression of LH secretion during midgestation in the rat.
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Affiliation(s)
- S Zhen
- Department of Physiology and Neurobiology, University of Connecticut, Storrs 06269-4154
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Koo DS, Zhen S, Zhen ZD, Shi XW, Xiang SJ. Assessment of topical therapy of the burn wound with silver sulphadiazine after its use for 15 years in a burn unit. Burns 1989; 15:193-6. [PMID: 2757770 DOI: 10.1016/0305-4179(89)90182-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
A comparative study of patients receiving or not receiving topical applications of 1 per cent silver sulphadiazine cream as treatment for burn wounds has shown that the drug is still effective in significantly reducing the amount of bacterial contamination of burn wounds, even after 15 years of use in our Burn Unit. Consequently the overall mortality due to burn wound sepsis has been decreased in this Burn Unit.
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Affiliation(s)
- D S Koo
- Burn Unit, Rui Jin Hospital, Shanghai Second Medical Univeristy, China
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