Volume 22 Issue 2
Feb.  2024
Turn off MathJax
Article Contents
YAN Fei, CHAI Qichen, LYU Jing, CHEN Jin. Association between age-friendliness of communities and cognitive function among older adults[J]. Chinese Journal of General Practice, 2024, 22(2): 183-186. doi: 10.16766/j.cnki.issn.1674-4152.003360
Citation: YAN Fei, CHAI Qichen, LYU Jing, CHEN Jin. Association between age-friendliness of communities and cognitive function among older adults[J]. Chinese Journal of General Practice, 2024, 22(2): 183-186. doi: 10.16766/j.cnki.issn.1674-4152.003360

Association between age-friendliness of communities and cognitive function among older adults

doi: 10.16766/j.cnki.issn.1674-4152.003360
Funds:

 82173634

 2018YFC2002000

 YB22006

  • Received Date: 2023-07-28
    Available Online: 2024-03-27
  •   Objective  To investigate the association between age-friendliness of communities (AFC)and cognitive function in the elderly and provide scientific basis for the construction of healthy aging.  Methods  A total of 5 940 permanent residents aged 65 and over in urban and suburban/rural areas in Hangzhou, Ningbo and Lishui of Zhejiang Province were studied from April 2022 to July 2022. A cross-sectional survey was used to collect basic personal information of the subjects, and the community age-friendliness and cognitive function of the subjects were assessed using the AFC rating scale and the 8-item dementia ascertainment (AD8) scale respectively. Multivariate logistic regression was used to analyze the risk factors for cognitive dysfunction and the association between AFC and cognitive function in older people.  Results  A total of 6 000 people were screened and a total of 5 940 valid questionnaires were collected. The results of binary logistic regression analysis showed that the scores of residential environment, transport environment, community environment and social inclusion were influencing factors for cognitive dysfunction (P<0.05), OR (95% CI) were 0.924 (0.877-0.973), 0.925 (0.875-0.978), 0.946 (0.895-0.999) and 0.927 (0.876-0.982) respectively.  Conclusion  Poor residential environment, transport, community and social inclusion environments are independent risk factors for cognitive impairment. The measures to improve the degree of age-friendly community are helpful in improving cognitive function.

     

  • loading
  • [1]
    国家卫生健康委全国老龄办. 关于开展示范性全国老年友好型社区创建工作的通知[J]. 中华人民共和国国家卫生健康委员会公报, 2020(12): 45-53. https://www.cnki.com.cn/Article/CJFDTOTAL-MGYI202102007.htm
    [2]
    JIA J P, WEI C B, CHEN S Q, et al. The cost of Alzheimer' s disease in China and re-estimation of costs worldwide[J]. Alzheimers Dement, 2018, 14(4): 483-491. doi: 10.1016/j.jalz.2017.12.006
    [3]
    孙雯倩, 林榕, 颜缘娇, 等. 老年认知障碍风险预测模型的研究进展[J]. 中国护理管理, 2023, 23(8): 1263-1267. https://www.cnki.com.cn/Article/CJFDTOTAL-GLHL202308030.htm

    SUN W Q, LIN R, YAN Y J, et al. Research progress on risk prediction models of cognitive impairment in the elderly[J]. Chinese Nursing Management, 2023, 23(8): 1263-1267. https://www.cnki.com.cn/Article/CJFDTOTAL-GLHL202308030.htm
    [4]
    XU J X, CHEN Y W, WANG Y J, et al. Association between age-friendliness of communities and frailty among older adults: a multilevel analysis[J]. Int J Environ Res Public Health, 2022, 19(12): 7528. doi: 10.3390/ijerph19127528
    [5]
    李涛, 王华丽, 杨渊韩, 等. 中文版《AD8》信度与效度的初步研究[J]. 中华内科杂志, 2012, 51(10): 777-780.

    LI T, WANG H L, YANG Y H, et al. The reliability and validity of Chinese version of AD8[J]. Chinese Journal of Internal Medicine, 2012, 51(10): 777-780.
    [6]
    张思然, 金煜, 徐珊瑚, 等. 简易认知量表和8条目痴呆筛查问卷在高龄老年人群早期认知功能下降筛查中的应用[J]. 中华老年病研究电子杂志, 2020, 7(2): 17-21. https://www.cnki.com.cn/Article/CJFDTOTAL-LNBY202002009.htm

    ZHANG S R, JIN Y, XU S H, et al. Application of Mini-Cog and AD8 in early cognitive status evaluation and predicting cognitive deterioration of aged population[J]. Chinese Journal of Geriatrics Research(Electronic Edition), 2020, 7(2): 17-21. https://www.cnki.com.cn/Article/CJFDTOTAL-LNBY202002009.htm
    [7]
    MASTERS C L. Major risk factors for Alzheimer' s disease: age and genetics[J]. Lancet Neurol, 2020, 19(6): 475-476. doi: 10.1016/S1474-4422(20)30155-1
    [8]
    VAN LOENHOUD A C, GROOT C, BOCANCEA D I, et al. Association of education and intracranial volume with cognitive trajectories and mortality rates across the Alzheimer disease continuum[J]. Neurology, 2022, 98(16): e1679-e1691.
    [9]
    PASE M P, ROWSTHORN E, CAVUOTO M G, et al. Association of neighborhood-level socioeconomic measures with cognition and dementia risk in Australian adults[J]. JAMA Netw Open, 2022, 5(3): e224071. DOI: 10.1001/jamanetworkopen.2022.4071.
    [10]
    LIVINGSTON G, SOMMERLAD A, ORGETA V, et al. Dementia prevention, intervention, and care[J]. Lancet, 2017, 390(10113): 2673-2734. doi: 10.1016/S0140-6736(17)31363-6
    [11]
    INVERNIZZI S, SIMOES LOUREIRO I, KANDANA ARACHCHIGE K G, et al. Late-life depression, cognitive impairment, and relationship with Alzheimer' s disease[J]. Dement Geriatr Cogn Disord, 2021, 50(5): 414-424. doi: 10.1159/000519453
    [12]
    马月玲, 石红霞, 郭蕾, 等. 围绝经期女性轻度认知功能损害的影响因素研究[J]. 中华全科医学, 2020, 18(4): 577-580, 678. doi: 10.16766/j.cnki.issn.1674-4152.001302

    MA Y L, SHI H X, GUO L, et al. A study of the influencing factors of mild cognitive impairment in perimenopausal women[J]. Chinese Journal of General Practice, 2019, 18(4): 577-580, 678. doi: 10.16766/j.cnki.issn.1674-4152.001302
    [13]
    韩悦, 杨振华, 韩庆烽, 等. 多病共存患者认知功能的管理现状[J]. 中华全科医学, 2023, 21(8): 1388-1392. doi: 10.16766/j.cnki.issn.1674-4152.003129

    HAN Y, YANG Z H, HAN Q F, et al. Current status of management of cognitive function in patients with multimorbidity[J]. Chinese Journal of General Practice, 2023, 21(8): 1388-1392. doi: 10.16766/j.cnki.issn.1674-4152.003129
    [14]
    SIMONS R L, LEI M K, KLOPACK E, et al. The effects of social adversity, discrimination, and health risk behaviors on the accelerated aging of African Americans: further support for the weathering hypothesis[J]. Soc Sci Med, 2021, 282: 113169. DOI: 10.1016/j.socscimed.2020.113169.
    [15]
    HUNT J, BUCKINGHAM W, KIM A J, et al. Association of Neighborhood-level disadvantage with cerebral and hippocampal volume[J]. JAMA Neurol, 2020, 77(4): 451-460. doi: 10.1001/jamaneurol.2019.4501
    [16]
    HUNT J, VOGT N M, JONAITIS E M, et al. Association of neighborhood context, cognitive decline, and cortical change in an unimpaired cohort[J]. Neurology, 2021, 96(20): e2500-e2512.
    [17]
    OUANES S, POPP J. High cortisol and the risk of dementia and Alzheimer' s disease: a review of the literature[J]. Front Aging Neurosci, 2019, 11: 43. doi: 10.3389/fnagi.2019.00043
    [18]
    SMITH J A, ZHAO W, WANG X, et al. Neighborhood characteristics influence DNA methylation of genes involved in stress response and inflammation: the Multi-Ethnic Study of Atherosclerosis[J]. Epigenetics, 2017, 12(8): 662-673. doi: 10.1080/15592294.2017.1341026
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Tables(4)

    Article Metrics

    Article views (190) PDF downloads(27) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return