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社区老年人社会经济地位与轻度认知功能障碍的相关性研究

范仁嘉, 曾燕, 许浪, 刘丹, 程桂荣. 社区老年人社会经济地位与轻度认知功能障碍的相关性研究[J]. 中华疾病控制杂志, 2023, 27(8): 895-900. doi: 10.16462/j.cnki.zhjbkz.2023.08.005
引用本文: 范仁嘉, 曾燕, 许浪, 刘丹, 程桂荣. 社区老年人社会经济地位与轻度认知功能障碍的相关性研究[J]. 中华疾病控制杂志, 2023, 27(8): 895-900. doi: 10.16462/j.cnki.zhjbkz.2023.08.005
FAN Renjia, ZENG Yan, XU Lang, LIU Dan, CHENG Guirong. Association between socioeconomic status and mild cognitive impairment in community-living older adults[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 895-900. doi: 10.16462/j.cnki.zhjbkz.2023.08.005
Citation: FAN Renjia, ZENG Yan, XU Lang, LIU Dan, CHENG Guirong. Association between socioeconomic status and mild cognitive impairment in community-living older adults[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2023, 27(8): 895-900. doi: 10.16462/j.cnki.zhjbkz.2023.08.005

社区老年人社会经济地位与轻度认知功能障碍的相关性研究

doi: 10.16462/j.cnki.zhjbkz.2023.08.005
基金项目: 

国家重点研发计划 2020YFC2006000

国家自然科学基金 72174159

详细信息
    通讯作者:

    程桂荣,E-mail: chengguirong@wust.edu.cn

  • 中图分类号: R161.7

Association between socioeconomic status and mild cognitive impairment in community-living older adults

Funds: 

National Key Research and Development Program of China 2020YFC2006000

National Natural Science Foundation of China 72174159

More Information
  • 摘要:   目的  探讨老年人社会经济地位(socioeconomic status,SES)与轻度认知功能障碍(mild cognitive impairment,MCI)患病的关联。  方法  数据来源于湖北老年记忆队列(the Hubei Memory and Aging Cohort Study,HMACS);共纳入7 887名≥65岁老年人,他们完成了3全套神经心理评估和临床体格检查。SES通过受教育程度、职业性质和家庭人均月收入综合评定;MCI由专家组根据Petersen标准和中国痴呆与认知障碍诊治指南进行诊断;多因素logistic回归分析模型分析老年人SES与MCI患病的关联。  结果  共纳入7 887名调查对象,平均年龄(71.74±5.58)岁,MCI检出率为23.00%(95% CI: 22.07%~23.93%);低SES组MCI检出率(44.65%)高于中SES组MCI检出率(16.89%)和高SES组MCI检出率(9.18%);女性高于男性;农村高于城市。分层分析发现:城市男性低SES组MCI患病风险为高SES组的6.276倍(OR=6.276, 95% CI: 4.017~9.805),城市女性低SES组MCI患病风险为高SES组的3.978倍(OR=3.978, 95% CI: 2.943~5.376);依据现有SES标准,农村女性老年人SES分布不均匀。  结论  低SES组老年人MCI检出率较高,认知功能障碍的防控要密切关注低SES组老年人,特别是社区低收入、低教育程度的老年人。
  • 表  1  调查人群的基本情况

    Table  1.   Basic information of the participants

    变量 Variable SES[人数(占比/%)]
    SES [Number of people (proportion /%)]
    低 Low
    (n=2 383)
    中 Middle
    (n=3 173)
    高 High
    (n=2 331)
    χ2/Z
    value
    P
    value
    性别 Gender 52.104 < 0.001
      男 Male 994(41.71) 1 466(46.20) 1 216(52.17)
      女 Female 1 389(58.29) 1 707(54.80) 1 115(47.83)
    年龄/岁, (x±s)  Age /years, (x±s) 72.02±5.43 71.17±5.48 72.22±5.81 87.907 < 0.001
    居住地 Region 3 131.978 < 0.001
      城市 Urban 679(28.49) 2 609(82.23) 2 297(98.54)
      农村 Rural 1 704(71.51) 564(17.77) 34(1.46)
    婚姻状况 Marital status 629.937 < 0.001
      有配偶 Married 1 264(53.04) 2 119(66.78) 2 023(86.79)
      无配偶 Mateless 1 119(46.96) 1 054(33.22) 308(13.21)
    吸烟 Smoking 5.586 0.061
      是 Yes 753(31.60) 955(30.10) 663(28.44)
      否 No 1 630(68.40) 2 218(69.90) 1 668(71.56)
    饮酒 Drinking 261.413 < 0.001
      是 Yes 1 021(42.85) 811(25.56) 550(23.60)
      否 No 1 362(57.15) 2 362(74.44) 1 781(76.40)
    体育锻炼 Physical activity 502.804 < 0.001
      是 Yes 1 566(66.10) 2 726(85.94) 2 087(89.53)
      否 No 803(33.90) 446(14.06) 244(10.47)
    智力活动 Intellectual activity 1 019.457 < 0.001
      是 Yes 901(37.90) 2 140(68.28) 1 894(81.46)
      否 No 1 476(62.10) 994(31.72) 431(18.54)
    高血压 Hypertension 4.754 0.093
      是 Yes 1 431(60.05) 1 973(62.18) 1 469(63.02)
      否 No 952(39.95) 1 200(37.82) 862(36.98)
    糖尿病 Diabetes 38.418 < 0.001
      是 Yes 307(12.88) 557(17.55) 451(19.35)
      否 No 2 076(87.12) 2 616(82.45) 1 880(80.65)
    冠心病 Coronary heart disease 6.989 0.030
      是 Yes 385(16.16) 447(14.09) 382(16.39)
      否 No 1 988(83.84) 2 726(85.91) 1 949(83.61)
    脑血管病 Cerebral vascular disease 6.273 0.043
      是 Yes 459(19.26) 565(17.81) 477(20.46)
      否 No 1 924(80.74) 2 608(82.19) 1 854(79.54)
    向心性肥胖 Central obesity 40.458 < 0.001
      是 Yes 1 729(72.56) 2 106(66.37) 1 499(64.31)
      否 No 654(27.44) 1 067(33.63) 832(35.69)
    抑郁 Depressed 10.890 0.004
      是 Yes 115(4.83) 105(3.31) 76(3.26)
      否 No 2 268(95.17) 3 068(96.69) 2 255(96.74)
    失眠 Insomnia 205.092 < 0.001
      是 Yes 1 550(65.04) 1 627(51.28) 1 044(44.79)
      否 No 833(34.96) 1 546(48.72) 1 287(55.21)
    MCI 948.872 < 0.001
      是 Yes 1 064(44.65) 536(16.89) 214(9.18)
      否 No 1 319(55.35) 2 637(83.11) 2 117(90.82)
    注: 1. 15人在体育锻炼方面信息缺失,51人在智力活动习惯方面信息缺失。
    2. MCI, 轻度认知功能障碍; SES, 社会经济地位。
    Notes: 1. Fifteen people lacked information on physical exercise and 51 people lacked information on intellectual activity habits.
    2. MCI, mild cognitive impairment; SES, socioeconomic status.
    下载: 导出CSV

    表  2  不同SES组老年人MCI检出率的城乡、性别差异

    Table  2.   Differences in the prevalence of MCI among older adults in different SES groups with regard to urban-rural and gender disparities

    变量  Variable MCI
    男  Male 女  Female
    患病率/%
    Prevalence/%
    患病率(95% CI)/%
    Prevalence(95% CI)/%
    χ2
    value
    P
    value
    患病率/%
    Prevalence/%
    患病率(95% CI)/%
    Prevalence(95% CI)/%
    χ2
    value
    P
    value
    农村 SES Rural SES
      低  Low 41.26 37.79~44.73 / / 54.54 51.32~57.75 / /
      中 Middle 31.88 27.09~36.67 9.288 0.002 42.64 35.67~49.61 9.217 0.002
      高 High 18.52 2.86~34.18 7.386 0.007 // // // //
    城市 SES Urban SES
      低  Low 34.72 28.32~41.12 / / 35.21 30.84~39.57 / /
      中 Middle 11.28 9.41~13.16 77.223 < 0.001 13.97 12.22~15.75 103.976 < 0.001
      高  High 7.99 6.45~9.53 486.356 < 0.001 10.11 8.33~11.89 142.429 < 0.001
    注:1. “/”表示该组作为参考组; “//”表示农村女性高SES组7人,不满足分析条件。
    2. SES, 社会经济地位; MCI, 轻度认知功能障碍。
    Notes: 1. "/" indicates that the group serves as a reference group; "//" indicates that there are 7 rural women in the high SES group, which do not meet the analysis conditions.
    2. SES, socioeconomic status; MCI, mild cognitive impairment.
    下载: 导出CSV

    表  3  不同地区及性别老年人SES与MCI患病的关联性

    Table  3.   Relationship between SES and MCI in older adults of different regions and gender

    变量  Variable 男  Male 女  Female
    P值  value OR值  value 95% CI P值  value OR值 value 95% CI
    农村 SES Rural SES
      高  High 1.000 //
      中 Middle 0.047 2.862 1.013~8.089 1.000
      低  Low 0.026 3.208 1.150~8.951 0.002 1.468 1.146~1.880
    城市 SES Urban SES
      高  High 1.000
      中  Middle 0.021 1.425 1.054~1.927 0.003 1.463 1.136~1.885
      低  Low < 0.001 6.276 4.017~9.805 < 0.001 3.978 2.943~5.376
    注:1. 模型控制了年龄、婚姻状况、饮酒、向心性肥胖、抑郁、失眠、体育锻炼以及智力活动习惯。
    2. “//”表示农村女性高SES组7人,不满足分析条件。
    3. SES, 社会经济地位; MCI, 轻度认知功能障碍。
    Notes: 1. The model adjusting for age, marital status, alcohol consumption, centripetal obesity, depression, insomnia, physical activity, and intellectual activity habits.
    2. "//" indicates that there were 7 rural women in the high SES group who did not meet the analysis conditions.
    3. SES, socioeconomic status; MCI, mild cognitive impairment.
    下载: 导出CSV
  • [1] 第七次全国人口普查主要数据公布人口总量保持平稳增长[J]. 西北人口, 2021, 42(3): 127.

    Major data released in the seventh National census showed steady population growth[J]. Northwest Population J, 2021, 42(3): 127.
    [2] Cummings J, Lee G, Ritter A, et al. Alzheimer's disease drug development pipeline: 2018[J]. Alzheimers Dement, 2018, 4: 195-214. DOI: 10.1016/j.trci.2018.03.009.
    [3] Glasman P, Houot M, Migliaccio R, et al. Subtle postoperative cognitive disorder in preclinical Alzheimer's disease[J]. Exp Gerontol, 2022, 161: 111715. DOI: 10.1016/j.exger.2022.111715.
    [4] 韩婷婷. 社会经济地位对我国中年人和老年人健康的影响分析[D]. 济南: 山东大学, 2017.

    Han TT. Analysis on the influence of socioeconomic status on the health of middle-aged and elderly in China[D]. Jinan: Shandong University, 2017.
    [5] Carlsson AC, Li X, Holzmann MJ, et al. Neighborhood socioeconomic status at the age of 40 years and ischemic stroke before the age of 50 years: a nationwide cohort study from Sweden[J]. Int J Stroke, 2017, 12(8): 815-826. DOI: 10.1177/1747493017702663.
    [6] Stanbury JF, Baade PD, Yu Y, et al. Cancer survival in New South Wales, Australia: socioeconomic disparities remain despite overall improvements[J]. BMC Cancer, 2016, 16: 48. DOI: 10.1186/s12885-016-2065-z.
    [7] Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review[J]. Soc Sci Med, 2013, 90: 24-31. DOI: 10.1016/j.socscimed.2013.04.026.
    [8] Marden JR, Tchetgen Tchetgen EJ, Kawachi I, et al. Contribution of socioeconomic status at 3 life-course periods to late-life memory function and decline: early and late predictors of dementia risk[J]. Am J Epidemiol, 2017, 186(7): 805-814. DOI: 10.1093/aje/kwx155.
    [9] Spasov S, Passamonti L, Duggento A, et al. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease[J]. Neuroimage, 2019, 189: 276-287. DOI: 10.1016/j.neuroimage.2019.01.031.
    [10] Li L, Cheng GR, Liu D, et al. The Hubei memory and aging cohort sudy: study design, baseline characteristics, and prevalence of cognitive impairments[J]. J Alzheimers Dis, 2022, 85(2): 561-571. DOI: 10.3233/JAD-215129.
    [11] Paradela RS, Ferreira NV, Nucci MP, et al. Relation of a socioeconomic index with cognitive function and neuroimaging in hypertensive individuals[J]. J Alzheimers Dis, 2021, 82(2): 815-826. DOI: 10.3233/JAD-210143.
    [12] 李燕, 孙晓杰, 刘坤. 国内外老年人社会经济地位与健康关系的研究综述[J]. 中国社会医学杂志, 2015, 32(4): 278-281. DOI: 10.3969/j.issn.1673-5625.2015.04.009.

    Li Y, Sun XJ, Liu K. Review on the relationship between socioeconomic status and health status of the elderly at home and abroad[J]. Chin J Soc Med, 2015, 32(4): 278-281. DOI: 10.3969/j.issn.1673-5625.2015.04.009.
    [13] Petersen RC. Mild cognitive impairment as a diagnostic entity[J]. J Intern Med, 2004, 256(3): 183-194. DOI: 10.1111/j.1365-2796.2004.01388.x.
    [14] 中国痴呆与认知障碍诊治指南写作组, 中国医师协会神经内科医师分会认知障碍疾病专业委员会. 2018中国痴呆与认知障碍诊治指南(五): 轻度认知障碍的诊断与治疗[J]. 中华医学杂志, 2018, 98(17): 1294-1301. DOI: 10.3760/cma.j.issn.0376-2491.2018.17.003.

    The Witing Group of the Guidelines for the Diagnosis and Treatment of Dementia and Cognitive Disorders in China, the Cognitive Disorders Professional Committee of the Neurologist Bianch of the Chinese Medical Association. 2018 Chinese guidelines for the diagnosis and treatment of dementia and cognitive impairment (Ⅴ): diagnosis and treatment of mild cognitive impairment[J]. Chin Med J, 2018, 98(17): 1294-1301. DOI: 10.3760/cma.j.issn.0376-2491.2018.17.003.
    [15] Fernández-Blázquez MA, Noriega-Ruiz B, ávila-Villanueva M, et al. Impact of individual and neighborhood dimensions of socioeconomic status on the prevalence of mild cognitive impairment over seven-year follow-up[J]. Aging Ment Health, 2021, 25(5): 814-823. DOI: 10.1080/13607863.2020.1725803.
    [16] Grotto I, Huerta M, Sharabi Y. Hypertension and socioeconomic status[J]. Curr Opin Cardiol, 2008, 23(4): 335-339. DOI: 10.1097/HCO.0b013e3283021c70.
    [17] 高悦, 彭华茂, 文静, 等. 教育水平在认知老化中的作用[J]. 心理发展与教育, 2011, 27(6): 591-598. DOI: 10.16187/j.cnki.issn1001-4918.2011.06.011.

    Gao Y, Peng HM, Wen J, et al. The role of education level in cognitive aging[J]. Psychol Dev Educ, 2011, 27(6): 591-598. DOI: 10.16187/j.cnki.issn1001-4918.2011.06.011.
    [18] 张卫华, 赵贵芳, 刘贤臣, 等. 城市老年人认知功能的相关因素分析[J]. 中国心理卫生杂志, 2001, 15(5): 327-330. DOI: 10.3321/j.issn:1000-6729.2001.05.021.

    Zhang WH, Zhao GF, Liu XC, et al. Cognitive Function and related Factors of Urban Elderly: a cross-sectional study[J]. Chin Mental Health J, 2001, 15(5): 327-330. DOI: 10.3321/j.issn:1000-6729.2001.05.021.
    [19] Cong L, Ren Y, Wang Y, et al. Mild cognitive impairment among rural-dwelling older adults in China: a community-based study[J]. Alzheimers Dement, 2023, 19(1): 56-66. DOI: 10.1002/alz.12629.
    [20] Jia J, Zhou A, Wei C, et al. The prevalence of mild cognitive impairment and its etiological subtypes in elderly Chinese[J]. Alzheimers Dement, 2014, 10(4): 439-447. DOI: 10.1016/j.jalz.2013.09.008.
    [21] Robitaille A, van den Hout A, Machado RJM, et al. Transitions across cognitive states and death among older adults in relation to education: a multistate survival model using data from six longitudinal studies[J]. Alzheimers Dement, 2018, 14(4): 462-472. DOI: 10.1016/j.jalz.2017.10.003.
    [22] Kim GH, Lee HA, Park H, et al. Effect of individual and district-level socioeconomic disparities on cognitive decline in community-dwelling elderly in Seoul[J]. J Korean Med Sci, 2017, 32(9): 1508-1515. DOI: 10.3346/jkms.2017.32.9.1508.
    [23] 郑磊, 张鼎权. 中国教育性别差异的经济学研究评述[J]. 妇女研究论丛, 2013, (2): 112-119. DOI: 10.3969/j.issn.1004-2563.2013.02.014.

    Zheng L, Zhang DQ. Economic analysis of gender inequalities in education in China[J]. Collect Women's Stud, 2013, (2): 112-119. DOI: 10.3969/j.issn.1004-2563.2013.02.014.
    [24] Stern Y. Cognitive reserve in ageing and Alzheimer's disease[J]. Lancet Neurol, 2012, 11(11): 1006-1012. DOI: 10.1016/S1474-4422(12)70191-6.
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  • 收稿日期:  2022-09-19
  • 修回日期:  2022-12-15
  • 网络出版日期:  2023-09-02
  • 刊出日期:  2023-08-10

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