Journal of Peking University (Health Sciences) ›› 2020, Vol. 52 ›› Issue (3): 486-491. doi: 10.19723/j.issn.1671-167X.2020.03.014
Previous Articles Next Articles
Xiao-na NA1,Zhu ZHU1,Yang-yang CHEN1,Dong-ping WANG2,Hao-jie WANG2,Yang SONG2,Xiao-chuan MA1,Pei-yu WANG1,Ai-ping LIU1,△()
CLC Number:
[1] |
Reis J, Loria C, Lewis C, et al. Association between duration of overall and abdominal obesity beginning in young[J]. JAMA, 2013,310(3):280-288.
pmid: 23860986 |
[2] |
Collaboration NRF. Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million participants[J]. Lancet, 2016,387(10026):1377-1396.
pmid: 27115820 |
[3] | 李方波, 李英华, 孙思伟, 等. 我国5省市18~60岁城乡居民超重肥胖现状调查及影响因素分析[J]. 中国健康教育, 2012,28(5):367-371. |
[4] | 宋孟娜, 程潇, 孔静霞, 等. 我国中老年人超重、肥胖变化情况及影响因素分析[J]. 中华疾病控制杂志, 2018,22(8):804-808. |
[5] | 王茹, 曹乾, 辛怡, 等. 中国成年人中心性肥胖患病情况及其影响因素分析[J]. 中国公共卫生, 2019,35(1):1-4. |
[6] | 陶秀娟, 杨建军, 范彦娜, 等. 零食、体力活动和静坐行为与超重、肥胖及社会人口学特征的相关性研究[J]. 中国妇幼保健, 2019,34(11):2579-2582. |
[7] | 符茂真, 吴琦欣, 年云鹏, 等. 休闲性身体活动水平与超重肥胖的关联分析[J]. 中国慢性病预防与控制, 2018,26(7):504-508. |
[8] | Chastin SF, Palarea-Albaladejo J, Dontje ML, et al. Combined effects of time spent in physical activity, sedentary behaviors and sleep on obesity and cardio-metabolic health markers: A novel compositional data analysis approach[J]. PLoS One, 2015,10(10):e0139984. |
[9] | Pedišić Ž. Measurement issues and poor adjustments for physical activity and sleep undermine sedentary behaviour research—the focus should shift to the balance between sleep, sedentary beha-viour, standing and activity[J]. Kinesiology, 2014,46(1):135-146. |
[10] | Dumuid D, Stanford TE, Martin-Fernandez JA, et al. Compositional data analysis for physical activity, sedentary time and sleep research[J]. Stat Methods Med Res, 2018,27(12):3726-3738. |
[11] | Tremblay MS, Carson V, Chaput JP, et al. Canadian 24-hour movement guidelines for children and youth: An integration of physical activity, sedentary behaviour, and sleep[J]. Appl Phy-siol Nutr Metab, 2016,41(6 Suppl 3):S311-327. |
[12] | IPAQ Group. International physical activity questionnaire [EB/OL]. [ 2020- 01- 26]. http://www.ipaq.ki.se/downloads.html. |
[13] | 樊萌语, 吕筠, 何平平. 国际体力活动问卷中体力活动水平的计算方法[J]. 中华流行病学杂志, 2014,35(8):961-964. |
[14] |
Deng HB, Macfarlane DJ, Thomas GN, et al. Reliability and validity of the IPAQ-Chinese: the Guangzhou Biobank Cohort study[J]. Med Sci Sports Exerc, 2008,40(2):303-307.
doi: 10.1249/mss.0b013e31815b0db5 pmid: 18202571 |
[15] | 贾玉俭, 许良智, 康德英, 等. 国际体力活动问卷 (自填式长卷) 中文版在成都市女性人群中信度与效度的研究[J]. 中华流行病学杂志, 2008,29(11):1078-1082. |
[16] | 高键, 费嘉庆, 姜立经, 等. 应用于膳食模式研究的简化膳食频率问卷信度和效度评价[J]. 营养学报, 2011,33(5):452-456. |
[17] | 中华人民共和国卫生部疾病预防控制局. 中国成人身体活动指南(节录)[J]. 营养学报, 2012,34(2):105-110. |
[18] | 艾奇逊. 成分数据的统计分析 [M]. 武汉: 中国地质大学出版社, 1990: 3-110. |
[19] | Pearson K. Mathematical contributions to the theory of evolution. On a form of spurious correlation which may arise when indices are used in the measurement of organs [J]. Procroysoc, 1897,60(1):489-498. |
[20] | Pawlowsky-Glahn V, Egozcue JJ, Tolosana-Delgado R. Modelling and analysis of compositional data[M]. Hoboken, NJ, USA: John Wiley & Sons, Ltd, 2015: 33-34. |
[21] | Pelclova J, Stefelova N, Hodonska J, et al. Reallocating time from sedentary behavior to light and moderate-to-vigorous physical acti-vity: What has a stronger association with adiposity in older adult women?[J]. Int J Environ Res Public Health, 2018,15(7):1444-1454. |
[22] | Egozcue JJ, Pawlowsky-Glahn V, Mateu-Figueras G, et al. Isometric logratio transformations for compositional data analysis[J]. Math Geol, 2003,35(3):279-300. |
[23] | Fairclough SJ, Dumuid D, Taylor S, et al. Fitness, fatness and the reallocation of time between children’s daily movement beha-viours: an analysis of compositional data[J]. Int J Behav Nutr Phys Act, 2017,14(1):64-76. |
[1] | Xiao-yuan ZHANG,Cheng-cheng GUO,Ying-xiang YU,Lan XIE,Cui-qing CHANG. Establishment of high-fat diet-induced obesity and insulin resistance model in rats [J]. Journal of Peking University (Health Sciences), 2020, 52(3): 557-563. |
[2] | Cheng-cheng GUO,Xiao-yuan ZHANG,Ying-xiang YU,Lan XIE,Cui-qing CHANG. Effects of chlorogenic acid on glucose tolerance and its curve characteristics in high-fat diet-induced obesity rats [J]. Journal of Peking University (Health Sciences), 2020, 52(2): 269-274. |
[3] | Yi SONG,Dong-mei LUO,Pei-jin HU,Xiao-jin YAN,Jing-shu ZHANG,Yuan-ting LEI,Bing ZHANG,Jun MA. Trends of prevalence of excellent health status and physical fitness among Chinese Han students aged 13 to 18 years from 1985 to 2014 [J]. Journal of Peking University (Health Sciences), 2020, 52(2): 317-322. |
[4] | WU Shi-yan1, ZHANG Xu-xi1, SUN Kai-ge1, HU Kang, LIU Si-jia, SUN Xin-ying. Application of multi-group structural equation model in comparative study of HBM related to recreational physical activity among population with high risk of chronic diseases and healthy people [J]. Journal of Peking University(Health Sciences), 2018, 50(4): 711-716. |
[5] | SONG Yi,LEI Yuan-ting, HU Pei-jin, ZHANG Bing, MA Jun. Situation analysis of physical fitness among Chinese Han students in 2014 [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 436-442. |
[6] | DONG Yan-hui, SONG Yi, DONG Bin, ZOU Zhi-yong, WANG Zheng-he, YANG Zhao-geng, WANG Xi-jie, LI Yan-hui, MA Jun. Association between the blood pressure status and nutritional status among Chinese students aged 7-18 years in 2014: based on the national blood pressure reference for Chinese children and adolescents [J]. Journal of Peking University(Health Sciences), 2018, 50(3): 422-428. |
[7] | WU Yu-jia, CHI Xiao-pei, CHEN Feng, DENG Xu-liang. Salivary microbiome in people with obesity: a pilot study [J]. Journal of Peking University(Health Sciences), 2018, 50(1): 5-12. |
[8] | ZHOU Jing, ZHOU Qian, WANG Dong-ping, ZHAGN Ting, WANG Hao-jie, SONG Yang, HE Hai-zhen, WANG Meng, WANG Pei-yu, LIU Ai-ping. Associations of sedentary behavior and physical activity with dyslipidemia [J]. Journal of Peking University(Health Sciences), 2017, 49(3): 418-423. |
[9] | DU Yi-qing, LIU Hui-xin, LIU Chun-lei, DUN Yao-jun, LI Qing, YU Lu-ping, LIU Shi-jun, CHEN Li-li, WANG Xiao-feng, XU Tao. Analysis of metabolic factors and relevance with the grade and stage in patients with renal cell carcinoma [J]. Journal of Peking University(Health Sciences), 2016, 48(4): 612-617. |
[10] | WU Shi-yan, ZHANG Xu-xi, YANG Shuai-shuai, SUN Kai-ge, JIA Wei-lan, SHAO Chun-xin, WU Qin, XUAN Xiao-wei, LIU Yong-chang, LIU Si-jia, SUN Xin-ying. Physical activity level and its influence factors among residents in one suburb district of Beijing [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 483-490. |
[11] | CHENG Lan, LI Qin, SONG Yi, MA Jun, WANG Hai-Jun. Association of physical activities, sedentary behaviors with overweight/obesity in 9-11 year-old Chinese primary school students [J]. Journal of Peking University(Health Sciences), 2016, 48(3): 436-441. |
[12] | FU Lian-Guo, WANG Hai-Jun, YANG Yi-De, LI Xiao-Hui, WANG Shuo, MENG Xiang-Kun, WANG Zheng-He, MA Jun. Analysis on awareness of obesity risk factors among children and adolescents [J]. Journal of Peking University(Health Sciences), 2015, 47(3): 410-413. |
[13] | WEN Meng-Meng, ZHU Guang-Rong, WANG Hai-Xue. Association between obesity and age at spermarche among Chinese Han boys aged 11-18 years [J]. Journal of Peking University(Health Sciences), 2015, 47(3): 406-409. |
[14] | CUI Xin-Yue, CHEN Tian-Jiao, MA Jun. Effect of obesity intervention with socio-ecological model on anthropometric measurements of children and adolescents [J]. Journal of Peking University(Health Sciences), 2015, 47(3): 400-405. |
[15] | LIU Yan, QI Li-Tong, MA Wei, YANG Ying, MENG Lei, ZHANG Bao-Wei, HUO Yong. Correlation between anthropometric parameters and arteriosclerosis biomarker in the middle-aged and the elderly [J]. Journal of Peking University(Health Sciences), 2014, 46(3): 455-459. |
|