以质量求发展，以服务铸品牌

Journal of Nursing ›› 2023, Vol. 30 ›› Issue (8): 52-57.doi: 10.16460/j.issn1008-9969.2023.08.052

Previous Articles     Next Articles

Effects of self-perception of aging on cognitive function in elderly people: a systematic review

ZHU Ming-yue, DING Xiao-tong, SHI Ji-yuan, Li Zheng   

  1. School of Nursing, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100144, China
  • Received:2022-11-23 Published:2023-05-12

PDF (PC)

371

Like

Abstract: Objective To systematically evaluate the effect of self-perception of aging on cognitive function in the elderly. Methods We searched literature in PubMed, Embase, The Cochrane Library, Web of Science, CNKI, Wanfang, VIP Science and Technology Journal Database and Chinese Biomedical Literature Database from the inception to October 21, 2022 according to the inclusion and exclusion criteria. Data extraction, quality evaluation and result analysis were carried out. Results Ten high-quality articles were included, with 4 cross-sectional studies and 6 cohort studies. The results showed that self-perception of aging had a significant impact on the overall cognitive function, memory function, language function and processing speed of the elderly. Conclusion Self-perception of aging can be used as a predictor of cognitive function in the elderly. Role of specific components of self-perception of aging in the process of cognitive decline, and the relationship between self-perception aging and cognitive function should be further explored in future studies, so as to provide reference for delaying the decline of cognitive function in the elderly.

Key words: self-perception of aging, old age, cognitive function, systematic review

CLC Number: 

  • R473.59
[1] Zhang Y, Wang C, Xu G, et al.Mortality of Alzheimer's disease patients: a 10-year follow-up pilot study in Shanghai[J]. Can J Neurol Sci, 2020, 47(2):226-230. DOI:10.1017/cjn.2019.333.
[2] White L, Fishman P, Basu A, et al.Medicare expenditures attributable to dementia[J]. Health Serv Res, 2019, 54(4): 773-781. DOI:10.1111/1475-6773.13134.
[3] Alzheimer's Disease International. World Alzheimer report2021: Journey through the diagnosis of dementia[EB/OL]. (2021-09-21)[2022-11-12]. https://www.alzint.org/resource/world-alzheimer-report-2021/.
[4] Alzheimer's Disease International.World Alzheimer report 2018, the state of the art of dementia research: new frontiers[EB/OL].(2018-09-21)[2022-11-12]. https://www. alzint.org/resource/world-alzheimer-report-2018.
[5] 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.
[6] Piña-Escudero SD, Aguirre GA, Javandel S, et al.Caregiving for patients with frontotemporal dementia in Latin America[J]. Front Neurol, 2021(12):665694. DOI:10.3389/fneur.2021.665694.
[7] Zhou M, Wang H, Zeng X, et al.Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2019,394(10204):1145-1158.DOI:10.1016/S0140-6736(19)30427-1.
[8] 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.
[9] Barker M, O'Hanlon A, McGee HM, et al. Cross-sectional validation of the Aging Perceptions Questionnaire: a multidimensional instrument for assessing self-perceptions of aging[J]. BMC Geriatr, 2007(7):9. DOI:10.1186/1471-2318-7-9.
[10] Siebert JS, Braun T, Wahl H.Change in attitudes toward aging: cognitive complaints matter more than objective performance[J]. Psychol Aging, 2020, 35(3):357-368. DOI: 10.1037/pag0000451.
[11] Robertson DA, King-Kallimanis BL, Kenny RA.Negative perceptions of aging predict longitudinal decline in cognitive function[J]. Psychol Aging, 2016, 31(1):71-81. DOI: 10.1037/pag0000451.
[12] Seidler AL, Wolff JK.Bidirectional associations between self-perceptions of aging and processing speed across 3 years[J]. Geropsych, 2017,30(2):49-59.DOI:10.1024/1662-9647/a000165.
[13] Brown KE, Kim J, Stewart T, et al.Positive, but not negative, self-perceptions of aging predict cognitive function among older adults[J]. Int J Aging Hum Dev, 2021, 93(1): 543-561. DOI:10.1177/0091415020917681.
[14] Wells G, Shea B, O'Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses[EB/OL]. (2014-01-02)[2022-11-12]. https://www.ohri.ca//programs/clinical_epidemiology/oxford.asp.
[15] 曾宪涛, 刘慧, 陈曦, 等. Meta分析系列之四:观察性研究的质量评价工具[J]. 中国循证心血管医学杂志, 2012, 4(4):297-299. DOI:1674-4055(2012)04-0297-03.
[16] Chapman S, Weiss D, Broulíková HM, et al.Examining the role of aging perceptions in subjective cognitive decline[J]. Alzheimer Dis Assoc Disord, 2022,36(4):288-294. DOI:10.1097/WAD.0000000000000518.
[17] Luo MS, Li LW.Are self-perceptions of aging associated with health trajectories among middle-aged and older adults?[J]. Gerontologist, 2020, 60(5):841-850. DOI:10.1093/geront/gnz092.
[18] McGarrigle CA, Ward M, Kenny RA. Negative aging perceptions and cognitive and functional decline: are you as old as you feel?[J]. J Am Geriatr Soc, 2022,70(3):777-788. DOI:10.1111/jgs.17561.
[19] Sindi S, Juster RP, Wan N, et al.Depressive symptoms, cortisol, and cognition during human aging: the role of negative aging perceptions[J]. Stress, 2012, 15(2):130-137. DOI: 10.3109/10253890.2011.599047.
[20] Stephan Y, Sutin AR, Luchetti M, et al. The mediating role of biomarkers in the association between subjective aging and episodic memory[J]. J Gerontol B Psychol Sci Soc Sci, 2022 Sep 30:gbac155. DOI: 10.1093/geronb/gbac155. Epub ahead of print.
[21] Yuan K, Luo Y, Sun J, et al.Depression and cognition mediate the effect of self-perceptions of aging over frailty among older adults living in the community in China[J]. Front Psychol, 2022, (13): 830667. DOI: 10.1093/geronb/gbac155.
[22] Levy BR, Slade MD, Pietrzak RH, et al.When culture influences genes: positive age beliefs amplify the cognitive-aging benefit of APOE ε2[J]. J Gerontol B Psychol Sci Soc Sci, 2020,75(8):e198-e203. DOI: 10.1093/geronb/gbaa126.
[23] Levy BR.Stereotype embodiment: a psychosocial approach to aging[J]. Curr Dir Psychol Sci, 2009, 18(6): 332-336. DOI: 10.1111/j.1467-8721.2009.01662.x.
[24] Smith KJ, Gavey S, RIddell NE, et al.The association between loneliness, social isolation and inflammation: a systematic review and meta-analysis[J].Neurosci Biobehav Rev, 2020(112):519-541. DOI:10.1016/j.neubiorev.2020.02.002.
[25] Siebert JS, Wahl H, Degen C, et al.Attitude toward own aging as a risk factor for cognitive disorder in old age: 12-year evidence from the ILSE study[J].Psychol Aging, 2018, 33(3): 461-472. DOI: 10.1037/pag0000252.
[26] Levy BR, Ferrucci L, Zonderman AB, et al.A culture-brain link: negative age stereotypes predict Alzheimer's disease biomarkers[J]. Psychol Aging, 2016, 31(1): 82-88. DOI: 10.1037/pag0000062.
[27] 田云伟, 李善玲, 梅婷, 等. 老年人主观记忆抱怨研究进展[J]. 护理学杂志, 2022, 37(4):110-113. DOI:10.3870/j.issn.1001-4152.2022.04.110.
[28] 欧阳蝶, 杨洁, 于相宇, 等. 内分泌治疗对乳腺癌患者主客观认知功能影响的系统评价[J]. 护理学报, 2022, 29(16):37-42. DOI: 10.16460/j.issn1008-9969.2022.16.037.
[29] Freeman AT, Santini ZI, Tyrovolas S, et al.Negative perceptions of ageing predict the onset and persistence of depression and anxiety: findings from a prospective analysis of the Irish Longitudinal Study on Ageing (TILDA)[J]. J Affect Disord, 2016(199):132-138. DOI:10.1016/j.jad.2016.03.042.
[30] Salthouse TA, Fristoe N, Rhee SH.How localized are age-related effects on neuropsychological measures?[J]. Neuropsychology, 1996, 10(2):272-285. DOI:10.1037/0894-4105.10.2.272.
[31] Deary IJ, Johnson W, Starr JM.Are processing speed tasks biomarkers of cognitive aging?[J]. Psychol Aging, 2010, 25(1): 219-228. DOI: 10.1037/a0017750.
[1] ZHOU Yue, ZHANG Jie, PAN Yu-fan, DAI Yu, SUN Yu-jian, XIAO Yi, YU Yu-feng. Prediction models for risk of acquired weakness in mechanically ventilated patients: a systematic review [J]. Journal of Nursing, 2024, 31(6): 56-61.
[2] WU Lin-mei, LIANG Zhi-jin, LIU Rui-jie, ZHONG Jing-jing, QIU Yu-hua. Barriers to and facilitators of exercise rehabilitation in patients with COPD: a CFIR-based systematic review [J]. Journal of Nursing, 2024, 31(5): 44-49.
[3] DENG Lan-xin, ZHANG Yu, LI Min-rui, GAO Yu-lin. Cross-lagged analysis of cognitive function and physical frailty changes in elderly residents of nursing homes [J]. Journal of Nursing, 2024, 31(23): 8-12.
[4] YANG Li-na, HUANG Rong, YAO Mei-qi, WANG Zhu-qing, XU Yi-Ting, XIE Pei-min. Risk prediction models for postpartum breastfeeding behavior interruption: a systematic review [J]. Journal of Nursing, 2024, 31(23): 59-65.
[5] ZHANG Yi-ran, WANG Kang-mei, ZHU Sheng-cai, ZHU Lu, HUANG Yi. COSMIN guideline-based systematic review of Chinese version of self-management assessment tool for hypertension patients [J]. Journal of Nursing, 2024, 31(19): 52-57.
[6] SHI Yang, GU Zhi-e, ZHU Tong, YU Jing, WANG Lin. Chain-mediated effects of social network and self-neglect between frailty and cognitive function in elderly patients with ischemic stroke [J]. Journal of Nursing, 2024, 31(17): 40-45.
[7] LI Hui-yuan, GUO Xue-qi, TANG Qi-qun, HU Hui-ju, YANG Jiao, CHEN Yao. Role of Subjective Cognitive Decline Questionnaire 21 in cognitive assessment of elderly people in nursing homes [J]. Journal of Nursing, 2023, 30(8): 12-16.
[8] YE Lei, ZHANG Ai-qin, RONG Yun, XIA Guang-hui. Risk prediction models for postoperative delirium in elderly patients with hip fracture: a systematic review [J]. Journal of Nursing, 2023, 30(7): 48-52.
[9] YANG Nan-nan, JIANG Hui-ping, SHI Ting-qi. Machine learning-based a risk predictive model for deep vein thrombosis in hospitalized patients: a systematic review [J]. Journal of Nursing, 2023, 30(23): 44-49.
[10] LIU Hai-hong, ZHANG Xiao-lei, XUE Ru, TAO Jia-yu, LI Xiao-min, LI Feng, LIU Hai-ning. Influencing factors of cognitive function of older adults with subjective cognitive decline based on machine learning [J]. Journal of Nursing, 2023, 30(23): 57-61.
[11] WEI Jia-hao, BU Meng-ru, BAI Zi-ye, ZHOU Jin. Measurement property of traditional Chinese medicine clinical effectiveness evaluation scales for lung cancer: a systematic review [J]. Journal of Nursing, 2023, 30(22): 56-62.
[12] WANG Yao, GUAN Yu-xiang, ZHENG Jing, XU Juan, WANG Chao. Systematic reviews of continuous glucose monitoring in patients with diabetes: an overview [J]. Journal of Nursing, 2023, 30(21): 39-45.
[13] ZHU Ming-yue, SHI Ji-yuan, LI Zheng. Effectiveness of computerized cognitive training for patients with cognitive dysfunction: an overview of systematic reviews [J]. Journal of Nursing, 2023, 30(21): 46-53.
[14] ZHOU Fei-yang, DENG Lu, LONG Ke-yu, YANG Ting-ting, XIE Lin-lin, LV Qing, GUO Chun-bo. Risk prediction model for cognitive frailty in elderly: a systematic review [J]. Journal of Nursing, 2023, 30(19): 45-50.
[15] LUO Jia-hui, LUO Yuan-yuan, FANG Qing-hong, YE Yan-xin, LIU Su-ting, YANG Zhi-hui, MIAO Jing-xia, ZHANG Li-li. Status quo and influencing factors of cognitive function in lung cancer patients [J]. Journal of Nursing, 2023, 30(18): 1-5.
Viewed
Full text


Abstract

Cited
  Shared   
No Suggested Reading articles found!