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CN 34-1304/RISSN 1674-3679

Volume 25 Issue 6
Jul.  2021
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PENG Ying-chun, MO Hai-juan, LAI Yin-juan, HUANG Zhi-bi, LUO Qian-qian, WEI Yu-qun. Influential factors of overweight and obesity in young adults aged 20 to 39 in Guangxi based on random forest algorithm[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 734-738. doi: 10.16462/j.cnki.zhjbkz.2021.06.020
Citation: PENG Ying-chun, MO Hai-juan, LAI Yin-juan, HUANG Zhi-bi, LUO Qian-qian, WEI Yu-qun. Influential factors of overweight and obesity in young adults aged 20 to 39 in Guangxi based on random forest algorithm[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2021, 25(6): 734-738. doi: 10.16462/j.cnki.zhjbkz.2021.06.020

Influential factors of overweight and obesity in young adults aged 20 to 39 in Guangxi based on random forest algorithm

doi: 10.16462/j.cnki.zhjbkz.2021.06.020
Funds:

The Project of Improving the Basic Scientific Research Ability of Young and Middle-aged Teachers in Guangxi 2020KY26008

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  • Corresponding author: MO Hai-juan, E-mail: mo18729026426@163.com
  • Received Date: 2020-11-23
  • Rev Recd Date: 2021-02-04
  • Publish Date: 2021-06-10
  •   Objective  To explore the influence of transportation mode, working status, and leisure time activity on overweight and obesity among young adults aged 20 to 39 in Guangxi, so as to provide a reference for improving the physical fitness level of the whole population.  Methods  A randomized whole-group sample of young adults aged 20-39 years from institutions in cities of Guangxi was conducted, with a total of 7 534 cases. The data were divided into 20- < 30 and 30-39 ages groups, and a random forest classification model were constructed after over-sampling a random forest classification model.  Results  According to the decline of the Gini index, we ranked the importance of the variables. The main influencing factors of overweight and obesity for young people aged 20- < 30 were the time spent riding motorcycles, electric bicycles, reading and using computers, the time spent watching TV and listening to the radio, mainly sitting at a desk, and light housework. As for 30-39 age group, the influencing factors of overweight and obesity were, in order, the length of time riding a motorcycle or electric vehicle; the length of watching TV and listening to the radio; the length of reading and using the computer; the length of light housework; the length of sitting mainly at the desk.  Conclusions  People should try to shorten the duration of sedentary behavior. In a short distance, try to choose cycling and walking, avoid sedentary work style and leisure activities, and increase scientific and regular physical exercise will be good choices.
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  • [1]
    Guglielmi V, Sbraccia P. Obesity phenotypes: depot-differences in adipose tissue and their clinical implications[J]. Eat Weight Disord, 2018, 23(1): 3-14. DOI: 10.1007/s40519-017-0467-9.
    [2]
    Yang T, Yu L, Barnett R, et al. Contextual influences affecting patterns of overweight and obesity among university students: a 50 universities population-based study in China[J]. Int J Health Geogr, 2017, 16(1): 18. DOI: 10.1186/s12942-017-0092-x.
    [3]
    Bray GA, Frühbeck G, Ryan DH, et al. Management of obesity[J]. Lancet, 2016, 387(10031): 1947-1956. DOI: 10.1016/s0140-6736(16)00271-3.
    [4]
    Alghamdi M, Al-Mallah M, Keteyian S, et al. Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project[J]. PLoS One, 2017, 12(7): e0179805. DOI: 10.1371/journal.pone.0179805.
    [5]
    吕红燕, 冯倩. 随机森林算法研究综述[J]. 河北省科学院学报, 2019, 36(3): 37-41. DOI: 10.16191/j.cnki.hbkx.2019.03.005.

    Lyu HY, Feng Q. A review of random forests algorithm[J]. Journal of the Hebei Academy of Sciences, 2019, 36(3): 37-41. DOI: 10.16191/j.cnki.hbkx.2019.03.005.
    [6]
    Kanerva N, Erkkola M, Nevalainen J, et al. Random forest analysis in identifying the importance of obesity risk factors[J]. European Journal of Public Health, 2013, 23(Supplement): 1. DOI: 10.1093/eurpub/ckt124.042.
    [7]
    中国肥胖问题工作组. 中国成人超重和肥胖症预防与控制指南(节录)[J]. 营养学报, 2004(1): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-YYXX200401004.htm

    Working Group of Obesity in China. Guidelines for the prevention and control of overweight and obesity in Chinese adults (excerpt)[J]. Acta Nutr Sin, 2004(1): 1-4. https://www.cnki.com.cn/Article/CJFDTOTAL-YYXX200401004.htm
    [8]
    唐蓉. 基于随机森林回归的青年人体质影响因素研究[D]. 南昌: 华东交通大学, 2016.

    Tang R. Research on influence factors of young people physical fitness based on random forest regression[D]. Nanchang: East China Jiaotong University, 2016.
    [9]
    闫慈, 田翔华, 阿拉依·阿汗, 等. 基于重采样技术在医学不平衡数据分类中的应用研究[J]. 中国卫生统计, 2018, 35(2): 177-180, 185. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201802004.htm

    Yan C, Tian XH, Alayi AH, et al. Application of the resampling technology in the classification of imbalanced medical datasets[J]. Chin J Heal Stat, 2018, 35(2): 177-180, 185. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGWT201802004.htm
    [10]
    Janitza S, Hornung R. On the overestimation of random forest's out-of-bag error[J]. PLoS One, 2018, 13(8): e0201904. DOI: 10.1371/journal.pone.0201904.
    [11]
    Biddle SJH, García Bengoechea E, Pedisic Z, et al. Erratum to: screen time, other sedentary behaviours, and obesity risk in adults: a review of reviews[J]. Curr Obes Rep, 2017, 6(3): 352. DOI: 10.1007/s13679-017-0267-6.
    [12]
    Tumin R, Anderson SE. Television, home-cooked meals, and family meal frequency: associations with adult obesity[J]. J Acad Nutr Diet, 2017, 117(6): 937-945. DOI: 10.1016/j.jand.2017.01.009.
    [13]
    Al-Hanawi MK, Chirwa GC, Pemba LA, et al. Does prolonged television viewing affect body mass index? A case of the Kingdom of Saudi Arabia[J]. PLoS One, 2020, 15(1): e0228321. DOI: 10.1371/journal.pone.0228321.
    [14]
    Goh EK, Kim OY, Jeon HJ. Depression is a mediator for the relationship between physical symptom and psychological well-being in obese people[J]. Clin Nutr Res, 2017, 6(2): 89-98. DOI: 10.7762/cnr.2017.6.2.89.
    [15]
    栗华, 张敬一, 张中朝, 等. 河北省成年居民超重肥胖流行特征及相关因素的调查分析[J]. 实用预防医学, 2007, 14(2): 283-286. DOI: 10.3969/j.issn.1006-3110.2007.02.009.

    Li H, Zhang JY, Zhang ZC, et al. Investigation on epidemiological characteristics and related factors of overweight and obesity among adult residents in Hebei Province[J]. Pract Prev Med, 2007, 14(2): 283-286. DOI: 10.3969/j.issn.1006-3110.2007.02.009.
    [16]
    Yang L, Hu L, Hipp JA, et al. Cross-sectional associations of active transport, employment status and objectively measured physical activity: analyses from the National Health and Nutrition Examination Survey[J]. J Epidemiol Community Health, 2018, 72(9): 764-769. DOI: 10.1136/jech-2017-210265.
    [17]
    熊荣, 袁丽凤, 杨进刚, 等. 自行车拥有状况与体力活动、静坐时间及超重或肥胖的关系研究[J]. 中国循环杂志, 2018, 33(3): 251-255. DOI: 10.3969/j.issn.1000-3614.2018.03.010.

    Xiong R, Yuan LF, Yang JG, et al. Correlation study between bicycle ownership status and physical activity, time of sitting, overweight or obesity[J]. Chin Circ J, 2018, 33(3): 251-255. DOI: 10.3969/j.issn.1000-3614.2018.03.010.
    [18]
    Nam JY, Kim J, Cho KH, et al. Associations of sitting time and occupation with metabolic syndrome in South Korean adults: a cross-sectional study[J]. BMC Public Health, 2016, 16: 943. DOI: 10.1186/s12889-016-3617-5.
    [19]
    Drenowatz C, Hand GA, Shook RP, et al. The association between different types of exercise and energy expenditure in young nonoverweight and overweight adults[J]. Appl Physiol Nutr Metab, 2015, 40(3): 211-217. DOI: 10.1139/apnm-2014-0310.
    [20]
    Jiang Y, Wang J, Wu S, et al. Association between take-out food consumption and obesity among Chinese university students: a cross-sectional study[J]. Int J Environ Res Public Health, 2019, 16(6): 1071. DOI: 10.3390/ijerph16061071.
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