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基于机器学习技术新冠疫情下中国北方地区医生情绪化进食行为预测模型构建

王起赫 刘飒娜 方海琴 梁栋 张雪楠 高会 李金良 刘爱东

王起赫, 刘飒娜, 方海琴, 梁栋, 张雪楠, 高会, 李金良, 刘爱东. 基于机器学习技术新冠疫情下中国北方地区医生情绪化进食行为预测模型构建[J]. 中国公共卫生, 2023, 39(4): 415-420. doi: 10.11847/zgggws1140655
引用本文: 王起赫, 刘飒娜, 方海琴, 梁栋, 张雪楠, 高会, 李金良, 刘爱东. 基于机器学习技术新冠疫情下中国北方地区医生情绪化进食行为预测模型构建[J]. 中国公共卫生, 2023, 39(4): 415-420. doi: 10.11847/zgggws1140655
WANG Qihe, LIU Sana, FANG Haiqin, . Construction of a machine learning-based prediction model for emotional eating during COVID-19 pandemic among doctors in North China[J]. Chinese Journal of Public Health, 2023, 39(4): 415-420. doi: 10.11847/zgggws1140655
Citation: WANG Qihe, LIU Sana, FANG Haiqin, . Construction of a machine learning-based prediction model for emotional eating during COVID-19 pandemic among doctors in North China[J]. Chinese Journal of Public Health, 2023, 39(4): 415-420. doi: 10.11847/zgggws1140655

基于机器学习技术新冠疫情下中国北方地区医生情绪化进食行为预测模型构建

doi: 10.11847/zgggws1140655
详细信息
    作者简介:

    王起赫(1988 – ),男,黑龙江哈尔滨人,助理研究员,博士,研究方向:国家食品安全标准制修订、国民营养计划、营养科普宣教

    通讯作者:

    刘爱东,E-mail:liuaidong@cfsa.net.cn

  • 中图分类号: R 395.6

Construction of a machine learning-based prediction model for emotional eating during COVID-19 pandemic among doctors in North China

  • 摘要:   目的  构建新型冠状病毒感染疫情(简称新冠疫情)下中国北方地区医生情绪化进食行为预测模型,为改善医生健康膳食模式提供科学依据。  方法  于2022年5 — 8月采用随机抽样方法在中国北方地区黑龙江、辽宁、吉林、河北、山东、山西、北京、天津8个省(直辖市)抽取39家新冠疫情定点收治医院共2 316名医生进行一般情况调查表、工作家庭冲突量表、大五人格量表及情绪化进食量表调查,基于机器学习技术建立深度神经网络模型预测新冠疫情下医生情绪化进食行为的因素。  结果   2094名医生有效完成问卷调查,情绪化进食行为总分为(51.48 ± 17.37)分,其中愤怒情绪进食、焦虑情绪进食、抑郁情绪进食和积极情绪进食得分为(11.31 ± 4.07)、(16.72 ± 7.56)、(11.02 ± 3.24)和(12.43 ± 4.27)分;基于机器学习技术构建了一个结构为21 – 19 – 14 – 9 – 1的医生情绪化进食行为预测的深度神经网络模型,该模型的R2MAEMSERMSE值分别为0.926、0.039、0.003和0.056;此模型预测结果显示,新冠疫情下中国北方地区医生情绪化进食行为的前5位重要因素依次为饮酒、工作家庭冲突、营养不均衡、性别(男)和饮食不规律。  结论  新冠疫情下中国北方地区医生情绪化进食情况不容乐视,应用机器学习技术能够有效精确预测医生的情绪化进食风险,不良饮食习惯和工作家庭冲突是导致医生情绪化进食行为的主要因素。
  • 图  1  新冠疫情下中国北方地区医生情绪化进食行为的深度神经网络模型

    图  2  新冠疫情下中国北方地区医生情绪化进食行为影响因素的相对重要性

  • [1] Zhou F, Yu T, Du RH, et al. Clinical course and risk factors for mortality of adult inpatients with COVID - 19 in Wuhan, China: a retrospective cohort study[J]. The Lancet, 2020, 395(10229): 1054 – 1062. doi: 10.1016/S0140-6736(20)30566-3
    [2] 刘兵, 彭明强. 后疫情时代对我国国家公共卫生应急管理体系思考[J]. 中国公共卫生, 2020, 36(12): 1697 – 1699. doi: 10.11847/zgggws1130130
    [3] 周婷, 官锐园, 浦浙宁, 等. 新冠肺炎抗疫一线医护人员的急性应激反应及相关因素: 有调节的中介模型分析[J]. 中国临床心理学杂志, 2020, 28(4): 751 – 755.
    [4] 张丽伟, 狄佳, 江淑芳, 等. 对医护人员在新冠肺炎疫情期间的认知态度和行为调查研究[J]. 中国医疗管理科学, 2021, 11(1): 66 – 71. doi: 10.3969/j.issn.2095-7432.2021.01.018
    [5] Liu Q, Luo D, Haase JE, et al. The experiences of health - care providers during the COVID - 19 crisis in China: a qualitative study[J]. The Lancet Global Health, 2020, 8(6): e790 – e798. doi: 10.1016/S2214-109X(20)30204-7
    [6] Cecchetto C, Aiello M, Gentili C, et al. Increased emotional eating during COVID - 19 associated with lockdown, psychological and social distress[J]. Appetite, 2021, 160: 105122. doi: 10.1016/j.appet.2021.105122
    [7] Gacek M, Kosiba G, Wojtowicz A. Personality determinants of diet quality among polish and Spanish physical education students[J]. International Journal of Environmental Research and Public Health, 2021, 18(2): 466. doi: 10.3390/ijerph18020466
    [8] 赵思琦, 张守臣, 金童林, 等. 神经质对青少年情绪化饮食的影响: 一个有调节的中介效应模型[J]. 心理科学, 2019, 42(2): 477 – 483.
    [9] Shukri M, Jones F, Conner M. Relationship between work - family conflict and unhealthy eating: does eating style matter?[J]. Appetite, 2018, 123: 225 – 232. doi: 10.1016/j.appet.2017.12.027
    [10] Williams K, Eggett D, Patten EV. How work and family caregiving responsibilities interplay and affect registered dietitian nutritionists and their work: a national survey[J]. PLoS One, 2021, 16(3): e0248109. doi: 10.1371/journal.pone.0248109
    [11] Al-Musharaf S. Prevalence and predictors of emotional eating among healthy young Saudi women during the COVID - 19 pandemic[J]. Nutrients, 2020, 12(10): 2923. doi: 10.3390/nu12102923
    [12] 张景奇, 史文宝, 纪秀娟. 机器学习在医疗和公共卫生中应用[J]. 中国公共卫生, 2019, 35(10): 1449 – 1452. doi: 10.11847/zgggws1125035
    [13] Greener JG, Kandathil SM, Moffat L, et al. A guide to machine learning for biologists[J]. Nature Reviews Molecular Cell Biology, 2022, 23(1): 40 – 55. doi: 10.1038/s41580-021-00407-0
    [14] Choi RY, Coyner AS, Kalpathy-Cramer J, et al. Introduction to machine learning, neural networks, and deep learning[J]. Translational Vision Science and Technology, 2020, 9(2): 14.
    [15] Peiffer-Smadja N, Rawson TM, Ahmad R, et al. Machine learning for clinical decision support in infectious diseases: a narrative review of current applications[J]. Clinical Microbiology and Infection, 2020, 26(5): 584 – 595. doi: 10.1016/j.cmi.2019.09.009
    [16] Mondal MRH, Bharati S, Podder P. Diagnosis of COVID - 19 using machine learning and deep learning: a review[J]. Current Medical Imaging Formerly Current Medical Imaging Reviews, 2021, 17(12): 1403 – 1418. doi: 10.2174/1573405617666210713113439
    [17] 蒋丰, 田侃. 中国成年人吸烟现状及影响因素 —— 基于2020年中国家庭追踪调查数据[J]. 江苏预防医学, 2022, 33(6): 742 – 743.
    [18] 李川, 廖婷婷, 孟瑞琳, 等. 2018年广东省18岁及以上居民饮酒行为调查研究[J]. 华南预防医学, 2022, 48(10): 1215 – 1218.
    [19] 周航天. 体育锻炼对手机依赖的影响[J]. 文体用品与科技, 2021(9): 94 – 95.
    [20] 顾平, 何金彩, 刘艳骄, 等. 中国失眠障碍诊断和治疗指南[C]//中国睡眠研究会东北睡眠工作委员会首届学术年会暨黑龙江省中西医结合学会睡眠分会第二届学术年会会议手册. 哈尔滨: 中国睡眠研究会, 2019: 77 – 86.
    [21] Carlson DS, Kacmar KM, Williams LJ. Construction and initial validation of a multidimensional measure of work-family conflict[J]. Journal of Vocational Behavior, 2000, 56(2): 249 – 276. doi: 10.1006/jvbe.1999.1713
    [22] Zhang JX, Bond MH. Personality and filial piety among college students in two Chinese societies: the added value of indigenous constructs[J]. Journal of Cross-Cultural Psychology, 1998, 29(3): 402 – 417. doi: 10.1177/0022022198293002
    [23] 朱虹. 情绪化进食量表的修订及应用[D]. 长沙: 中南大学, 2012.
    [24] Chan HP, Samala RK, Hadjiiski LM, et al. Deep learning in medical image analysis[J]. Advances in Experimental Medicine and Biology, 2020, 1213: 3 – 21.
    [25] Mousavi SM, Beroza GC. Deep - learning seismology[J]. Science, 2022, 377(6607): e4470. doi: 10.1126/science.abm4470
    [26] Lewis ND. 深度学习实践指南 —— 基于R语言[M]. 沙灜, 译. 北京: 人民邮电出版社, 2018.
    [27] 石梓薇. 大学生进食态度对其情绪化进食行为影响的相关研究[J]. 中国卫生产业, 2020, 17(4): 189 – 192. doi: 10.16659/j.cnki.1672-5654.2020.04.189
    [28] Burnatowska E, Surma S, Olszanecka-Glinianowicz M. Relation-ship between mental health and emotional eating during the COVID - 19 pandemic: a systematic review[J]. Nutrients, 2022, 14(19): 3989. doi: 10.3390/nu14193989
    [29] Rodriguez LM, Litt DM, Stewart SH. COVID - 19 psychological and financial stress and their links to drinking: a dyadic analysis in romantic couples[J]. Psychology of Addictive Behaviors, 2021, 35(4): 377 – 390. doi: 10.1037/adb0000724
    [30] Begdache L, Kianmehr H, Sabounchi N, et al. Common and differential associations between levels of alcohol drinking, gender - specific neurobehaviors and mental distress in college students[J]. Trends in Neuroscience and Education, 2020, 19: 100129. doi: 10.1016/j.tine.2020.100129
    [31] Carlos M, Elena B, Teresa IM. Are adherence to the Mediterranean diet, emotional eating, alcohol intake, and anxiety related in university students in Spain?[J]. Nutrients, 2020, 12(8): 2224. doi: 10.3390/nu12082224
    [32] Azevedo LDS, De Souza APL, Ferreira IMS, et al. Binge eating and alcohol consumption: an integrative review[J]. Eating and Weight Disorders-Studies on Anorexia, Bulimia and Obesity, 2021, 26(3): 759 – 769. doi: 10.1007/s40519-020-00923-6
    [33] Frank E, Zhao Z, Fang Y, et al. Experiences of work-family conflict and mental health symptoms by gender among physician parents during the COVID - 19 pandemic[J]. JAMA Network Open, 2021, 4(11): e2134315. doi: 10.1001/jamanetworkopen.2021.34315
    [34] Smith JM, Serier KN, Belon KE, et al. Evaluation of the relationships between dietary restraint, emotional eating, and intuitive eating moderated by sex[J]. Appetite, 2020, 155: 104817. doi: 10.1016/j.appet.2020.104817
    [35] Hadar-Shoval D, Alon-Tirosh M, Asraf K, et al. Lifestyle changes, emotional eating, gender, and stress during COVID-19 lockdown[J]. Nutrients, 2022, 14(18): 3868. doi: 10.3390/nu14183868
    [36] Zakhour M, Haddad C, Sacre H, et al. Differences in the associations between body dissatisfaction and eating outcomes by gender? A Lebanese population study[J]. Revue d'É pidémiologie et de Santé Publique, 2021, 69(3): 134 – 144.
    [37] Linardon J, Tylka TL, Fuller-Tyszkiewicz M. Intuitive eating and its psychological correlates: a meta - analysis[J]. International Journal of Eating Disorders, 2021, 54(7): 1073 – 1098. doi: 10.1002/eat.23509
    [38] Paszynska E, Cofta S, Hernik A, et al. Self - reported dietary choices and oral health care needs during COVID - 19 quarantine: a cross - sectional study[J]. Nutrients, 2022, 14(2): 313. doi: 10.3390/nu14020313
    [39] Kifle ZD, Woldeyohanins AE, Asmare B, et al. Assessment of lifestyle changes during coronavirus disease 2019 pandemic in Gondar town, Northwest Ethiopia[J]. PLoS One, 2022, 17(3): e0264617. doi: 10.1371/journal.pone.0264617
    [40] Mota IA, De Oliveira Sobrinho G, Morais IPS, et al. Impact of COVID - 19 on eating habits, physical activity and sleep in Brazilian healthcare professionals[J]. Arquivos de Neurop-Psiquiatria, 2021, 79(5): 429 – 436. doi: 10.1590/0004-282x-anp-2020-0482
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出版历程
  • 接收日期:  2022-10-21
  • 网络出版日期:  2023-03-31
  • 刊出日期:  2023-04-10

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