Journal of Peking University (Health Sciences) ›› 2024, Vol. 56 ›› Issue (3): 456-461. doi: 10.19723/j.issn.1671-167X.2024.03.012

Previous Articles     Next Articles

Factors influencing cognitive function among the older adults in Beijing

Yuting LIN1,Huali WANG2,Yu TIAN3,Litong GONG4,Chun CHANG1,*()   

  1. 1. Department of Social Medicine and Health Education, Peking University School of Public Health, Beijing 100191, China
    2. Peking University Sixth Hospital Dementia Care and Research Center/National Clinical Research Center for Psychiatric Diseases, Beijing 100191, China
    3. Beijing Xinjiekou Community Health Service Center, Beijing 100035, China
    4. Beijing Daxing District Center for Disease Control and Prevention, Beijing 102699, China
  • Received:2024-02-18 Online:2024-06-18 Published:2024-06-12
  • Contact: Chun CHANG E-mail:changchun@bjmu.edu.cn
  • Supported by:
    China Community Health Association Community Health Research Fund(20212041)

RICH HTML

  

Abstract:

Objective: To explore the current status of cognitive function of the older adults in Beijing, and to analyze the factors affecting their cognitive function. Methods: It was a cross-sectional study. A questionnaire survy was conducted in 2023 among the older adults in Beijing. The cognitive function of the older adults was assessed with the Hong Kong brief cognitive test (HKBC) scale, a simple cognitive assessment tool. Using SPSS 27.0 to perform the descriptive analysis and multiple linear regression analysis of factors, which affect cognitive function among the older adults. Results: Totally 349 older adults were recruited, with the highest percentage of respondents aged 60-69 years (41.3%), of whom 58.7% were female, 88.0% of the respondents had a junior high school or above education level. Most of the older adults (68.8%) worked 35-48 h/week before they retired, and 14.0% of the older adults had a family history of dementia. After controlling age and gender, the linear regression analysis showed that marital status married (β=0.501, 95%CI: 0.144-0.859) and 3-4 times physical activity per week (β=0.617, 95%CI: 0.087-1.148) were protective factors of cognitive function in the older adults, and depressive symptoms were a risk factor (β= -0.723, 95%CI: -1.198 to -0.247) of cognitive function for the older adults. Conclusion: In this study, the factors influencing cognitive function among the older adults was analyzed based on a life-cycle perspective. Lack of physical activity and depressive symptoms were risk factors for cognitive function among the older adults. It was suggested that strengthening physical activity, improving mental health of the older adults, as well as conducting preventive intervention in early stages of the life-cycle will be benefit for preventing and slowing cognitive decline in the older adults.

Key words: Cognition disorders, Risk factors, Aged, Life course theory

CLC Number: 

  • R395.6

Table 1

Sociodemographic characteristics of study subjects (n=349)"

Items n(%)
Gender
  Male 144 (41.3)
  Female 205 (58.7)
Age/years
  60- 144 (41.3)
  70- 101 (28.9)
  ≥80 104 (29.8)
Marital status
  Single/Divorced/Widowed 186 (53.3)
  Married 163 (46.7)
Education level
  Primary school or less 42 (12.0)
  Middle school 178 (51.0)
  High school or higher 129 (37.0)
Family history of dementia
  Yes 49 (14.0)
  No 300 (86.0)
Weekly working hours before retirement
  <35 56 (16.0)
  35- 122 (35.0)
  41- 118 (33.8)
  ≥49 53 (15.2)

Table 2

Univariate analysis of cognitive function score"

Variable Cognitive function score ($\bar x \pm s$) t/F P
Early life course factors
  Education level 3.872 0.022
    Primary school or below 23.76±1.61
    Middle school 24.25±1.65
    High school or above 24.51±1.34
  Family history of dementia 0.751 0.455
    No 24.31±1.57
    Yes 24.14±1.46
Midlife course factors
  Weekly working hours before retirement 1.998 0.114
    <35 23.89±1.85
    35- 24.32±1.42
    41- 24.49±1.57
    ≥49 24.19±1.40
  Marital status -3.331 0.001
    Single/Divorced/Widowed 24.04±1.66
    Married 24.58±1.36
Late life course factors
  Times of physical activity per week 6.872 0.001
    0-2 23.97±1.81
    3-4 24.76±0.88
    ≥5 24.49±1.34
  Smoking 0.105 0.917
    Never 24.29±1.58
    Everyday/Quit 24.27±1.34
  Drinking -0.997 0.321
    No 24.26±1.61
    Yes 24.44±1.11
  Social participation -1.037 0.300
    Low level 24.21±1.69
    High level 24.38±1.36
  3H 1.038 0.304
    No 24.31±1.59
    Yes 24.09±1.38
  Depression 3.759 <0.001
    No 24.42±1.32
    Yes 23.59±2.33
  Insomnia 2.486 0.013
    No 24.46±1.36
    Yes 24.04±1.77
  Social support 0.503 0.615
    Low level 24.33±1.50
    High level 24.24±1.61

Table 3

Multivariate regression analysis of factors associated with cognitive function"

VariablesModel 1 Model 2 Model 3
β(95%CI) t P β(95%CI) t P β(95%CI) t P
Sociodemographic factors
  Gender (Female) 0.119(-0.211, 0.450) 0.710 0.478 0.077(-0.254, 0.407) 0.457 0.648 0.015(-0.316, 0.345) 0.088 0.930
Early life course factors
  Education level
    Middle school 0.469(-0.054, 0.992) 1.762 0.079 0.344(-0.191, 0.879) 1.265 0.207 0.309(-0.264, 0.881) 1.061 0.289
    High school or above 0.756(0.205, 1.308) 2.699 0.007 0.479(-0.089, 1.048) 1.658 0.098 0.325(-0.286, 0.935) 1.045 0.297
  Family history of dementia (Yes) -0.133(-0.606, 0.341) -0.550 0.582 -0.131(-0.605, 0.343) -0.542 0.588 -0.107(-0.579, 0.365) -0.446 0.656
Midlife course factors
  Weekly working hours before retirement
    35-40 0.353(-0.137, 0.842) 1.418 0.157 0.270(-0.216, 0.756) 1.094 0.275
    41-48 0.526(0.034, 1.018) 2.105 0.036 0.341(-0.153, 0.836) 1.359 0.175
    ≥49 0.344(-0.263, 0.950) 1.115 0.266 0.126(-0.482, 0.734) 0.407 0.684
  Marital status (Married) 0.539(-0.183, 0.896) 2.978 0.003 0.501(0.144, 0.859) 2.759 0.006
Late life course factors
  Times of physical activity per week
    3-4 0.617(0.087, 1.148) 2.291 0.023
    ≥5 0.270(-0.109, 0.649) 1.402 0.162
  Smoking (Everyday/Quit) -0.119(-0.629, 0.391) -0.458 0.647
  Drinking (Yes) -0.002(-0.472, 0.467) -0.009 0.993
  Social participation (High level) 0.228(-0.131, 0.588) 1.250 0.212
  3H (Yes) -0.205(-0.754, 0.344) -0.735 0.463
  Depression (Yes) -0.723(-1.198, -0.247) -2.991 0.003
  Insomnia (Yes) -0.129(-0.475, 0.217) -0.736 0.462
  Social support (High level) -0.222(-0.574, 0.129) -1.245 0.214
1 Scheltens P , Strooper B , Kivipelto M , et al.Alzheimer's disease[J].Lancet,2021,397(10284):1577-1590.
doi: 10.1016/S0140-6736(20)32205-4
2 王丹, 刘跃华, 朱学敏, 等.WHO和25个国家(地区)应对失智症行动计划及其对我国的启示[J].中国全科医学,2022,25(25):3075-3082.
3 Rtersen RC .Mild cognitive impairment as a diagnostic entity[J].Intern Med,2004,25(6):183-194.
4 Jia L , Du Y , Chu L , et al.Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: A cross-sectional study[J].Lancet Public health,2020,5(12):e661-e671.
doi: 10.1016/S2468-2667(20)30185-7
5 World Health Organization. Global status report on the public health response to dementia[R]. Geneva: World Health Organization, 2021.
6 Ben-Shlomo Y , Kuh D .A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives[J].Int J Epidemiol,2022,31(2):285-293.
7 Livingston G , Huntley J , Sommerlad A , et al.Dementia prevention, intervention, and care: 2020 report of the Lancet Commission[J].Lancet,2020,396(10248):413-446.
doi: 10.1016/S0140-6736(20)30367-6
8 World Health Organization. World report on ageing and health[R]. Geneva: World Health Organization, 2015.
9 付志强, 齐伟, 翁华, 等.关于社会处方管理模式对社区老年人认知状况的干预效果及其社会支持影响因素的探索性研究[J].老龄科学研究,2022,10(12):24-33.
10 Zhou L , Ma X , Wang W .Relationship between cognitive perfor-mance and depressive symptoms in Chinese older adults: The China Health and Retirement Longitudinal Study (CHARLS)[J].J Affect Disord,2021,281,454-458.
doi: 10.1016/j.jad.2020.12.059
11 肖水源.《社会支持评定量表》的理论基础与研究应用[J].临床精神医学杂志,1994,(2):98-100.
12 Chiu HF , Zhong BL , Leung T , et al.Development and validation of a new cognitive screening test: The Hong Kong Brief Cognitive Test (HKBC)[J].Int J Geriatr Psychiatry,2018,33(7):994-999.
doi: 10.1002/gps.4883
13 Andresen EM , Malmgren JA , Carter WB , et al.Screening for depression in well older adults: Evaluation of a short form of the CES-D (Center for Epidemiologic Studies depression scale)[J].Am J Prev Med,1994,10(2):77-78.
doi: 10.1016/S0749-3797(18)30622-6
14 张宝山, 李娟.简版流调中心抑郁量表在全国成年人群中的信效度[J].中国心理卫生杂志,2011,25(7):506-511.
15 Chung KF , Kan KKK , Yeung WF .Assessing insomnia in adolescents: Comparison of insomnia severity index, Athens insomnia scale and sleep quality index[J].Sleep Med,2011,12(5):463-470.
16 于恩彦.中国老年期痴呆防治指南(2021)[M].北京: 人民卫生出版社,2021.
17 Baumgart M , Snyder HM , Carrillo MC , et al.Summary of the evidence on modifiable risk factors for cognitive decline and demen-tia: A population-based perspective[J].Alzheimers Dement,2015,11(6):718-726.
18 Sanders LM , Hortobagyi T , Gemert SB , et al.Dose-response relationship between exercise and cognitive function in older adults with and without cognitive impairment: A systematic review and meta-analysis[J].PLoS One,2019,14(1):e0210036.
19 Erickson KI , Hillman C , Stillman CM , et al.Physical activity, cognition, and brain outcomes: A review of the 2018 physical activity guidelines[J].Med Sci Sports Exerc,2019,51(6):1242-1251.
20 Wit LD , O'Shea D , Chandler M , et al.Physical exercise and cognitive engagement outcomes for mild neurocognitive disorder: A group-randomized pilot trial[J].Trials,2018,19(1):1-11.
21 James SN , Chiou YJ , Fatih N , et al.Timing of physical activity across adulthood on later-life cognition: 30 years follow-up in the 1946 British birth cohort[J].J Neurol Neurosurg Psychiatry,2023,94(5):349-356.
22 Prince M, Albanese E, Guerchet M. World Alzheimer Report 2014: Dementia and risk reduction. An analysis of protective and modifiable risk factors[R]. London: Alzheimer Disease International, 2014.
23 Chen H , Zhou YG , Huang LY , et al.Multimorbidity burden and developmental trajectory in relation to later-life dementia: A prospective study[J].Alzheimers Dement,2023,19(5):2024-2033.
[1] Zhicun LI, Tianyu WU, Lei LIANG, Yu FAN, Yisen MENG, Qian ZHANG. Risk factors analysis and nomogram model construction of postoperative pathological upgrade of prostate cancer patients with single core positive biopsy [J]. Journal of Peking University (Health Sciences), 2024, 56(5): 896-901.
[2] Ye YAN,Xiaolong LI,Haizhui XIA,Xuehua ZHU,Yuting ZHANG,Fan ZHANG,Ke LIU,Cheng LIU,Lulin MA. Analysis of risk factors for long-term overactive bladder after radical prostatectomy [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 589-593.
[3] Yan CHEN,Kuangmeng LI,Kai HONG,Shudong ZHANG,Jianxing CHENG,Zhongjie ZHENG,Wenhao TANG,Lianming ZHAO,Haitao ZHANG,Hui JIANG,Haocheng LIN. Retrospective study on the impact of penile corpus cavernosum injection test on penile vascular function [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 680-686.
[4] Bo PANG,Tongjun GUO,Xi CHEN,Huaqi GUO,Jiazhang SHI,Juan CHEN,Xinmei WANG,Yaoyan LI,Anqi SHAN,Hengyi YU,Jing HUANG,Naijun TANG,Yan WANG,Xinbiao GUO,Guoxing LI,Shaowei WU. Personal nitrogen oxides exposure levels and related influencing factors in adults over 35 years old in Tianjin and Shanghai [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 700-707.
[5] Jing HE,Zhongze FANG,Ying YANG,Jing LIU,Wenyao MA,Yong HUO,Wei GAO,Yangfeng WU,Gaoqiang XIE. Relationship between lipid metabolism molecules in plasma and carotid atheroscle-rotic plaques, traditional cardiovascular risk factors, and dietary factors [J]. Journal of Peking University (Health Sciences), 2024, 56(4): 722-728.
[6] Shan CAI,Yihang ZHANG,Ziyue CHEN,Yunfe LIU,Jiajia DANG,Di SHI,Jiaxin LI,Tianyu HUANG,Jun MA,Yi SONG. Status and pathways of factors influencing physical activity time among elementary and junior high school students in Beijing [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 403-410.
[7] Zuhong ZHANG,Tianjiao CHEN,Jun MA. Associations between puberty timing and cardiovascular metabolic risk factors among primary and secondary students [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 418-423.
[8] Haoyu ZHANG,Yiwen SHI,Wei PAN,Aiping LIU,Xinying SUN,Man LI,Xuxi ZHANG. Factors associated with the care needs of the older adults based on different disability levels [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 431-440.
[9] Ting JING,Hua JIANG,Ting LI,Qianqian SHEN,Lan YE,Yindan ZENG,Wenxin LIANG,Gang FENG,Man-Yau Szeto Ignatius,Yumei ZHANG. Relationship between serum 25-hydroxyvitamin D and handgrip strength in middle-aged and elderly people in five cities of Western China [J]. Journal of Peking University (Health Sciences), 2024, 56(3): 448-455.
[10] Huameng TANG,Dianqi YUAN,Mingxing WANG,Hanbing YANG,Chao GUO. Sequential mediating role of digital participation and health lifestyle in the relationship between socioeconomic status and depression of older adults [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 230-238.
[11] Jinrong ZHU,Yana ZHAO,Wei HUANG,Weiwei ZHAO,Yue WANG,Song WANG,Chunyan SU. Clinical characteristics of COVID-19 infection in patients undergoing hemodialysis [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 267-272.
[12] Zhanhong LAI,Jiachen LI,Zelin YUN,Yonggang ZHANG,Hao ZHANG,Xiaoyan XING,Miao SHAO,Yuebo JIN,Naidi WANG,Yimin LI,Yuhui LI,Zhanguo LI. A unicenter real-world study of the correlation factors for complete clinical response in idiopathic inflammatory myopathies [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 284-292.
[13] Xiaoqian SI,Xiujuan ZHAO,Fengxue ZHU,Tianbing WANG. Risk factors for acute respiratory distress syndrome in patients with traumatic hemorrhagic shock [J]. Journal of Peking University (Health Sciences), 2024, 56(2): 307-312.
[14] Yangyang LI,Lin HOU,Zijun MA,Shanyamei HUANG,Jie LIU,Chaomei ZENG,Jiong QIN. Association of pregnancy factors with cow's milk protein allergy in infants [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 144-149.
[15] Xiaoqiang LIU,Yin ZHOU. Risk factors of perioperative hypertension in dental implant surgeries with bone augmentation [J]. Journal of Peking University (Health Sciences), 2024, 56(1): 93-98.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!