A study on the relationship between the use of online social network and mild cognitive impairment in the middle-aged and elderly in the community
FENG Tengyu1,2 WU Jingsong1,2,3 YIN Lianhua4 HAN Mengyu1,2 YANG Ting1,2 HUANG Jia1,2,3 LIU Zhizhen2,3
1.College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fujian Province, Fuzhou 350122, China;
2.Fujian Collaborative Innovation Center for Rehabilitation Technology, Fujian Province, Fuzhou 350122, China;
3.Ministry of Education Key Laboratory of Orthopedics & Traumatology of Traditional Chinese Medicine and Rehabilitation, Fujian University of Traditional Chinese Medicine, Fujian Province, Fuzhou 350122, China;
4.Physical Examination Center, the Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, Fujian Province, Fuzhou 350003, China
Abstract：Objective To explore the relationship between online social network use and social isolation and mild cognitive impairment (MCI) among older adults in the community. Methods From June 2019 to January 2020, 758 middle-aged and elderly people in Fuzhou community were selected as the research subjects. According to the diagnostic criteria of MCI, they were divided into MCI group (179 cases) and cognitive normal group (579 cases). According to the Lubben scale score, a total score of <12 score was divided into the social isolation group (125 cases), ≥12 score was divided into the non-social isolation group (633 cases). The montreal cognitive assessment scale, the instrumental daily living competence scale, the simplified geriatric depression scale (GDS-15), the social network scale, and the online social network use questionnaire were used to evaluate the participants. Results Compared with the cognitively normal group, the MCI group had lower educational level (P ＜ 0.01); GDS-15 score was higher (P ＜ 0.01). There were no significant differences in age, gender, marriage, living status, life style and disease history between the two groups (P ＞ 0.05). The use of online social network in the cognitive normal group was longer than that in the MCI group (P ＜ 0.01). The daily duration of the cognitive normal group was longer than that of the MCI group, but the difference was not statistically significant (P ＞ 0.05). The social isolation group was lower than the non-social isolation group in terms of the number of years of online social network use and the daily length, with highly statistical significance (all P ＜ 0.01). Logistic regression analysis showed that the service life of online social network was related to MCI (OR = 0.181, 95%CI: 0.086, 0.384). Online social network use over 10 years significantly reduced the risk of MCI (OR = 0.263, 95%CI: 0.117, 0.591). There was no connection between the daily time of online social network and MCI (P ＞ 0.05). Conclusion The use of online social networks can reduce the occurrence of social isolation in middle-aged and elderly people and have a protective effect on cognitive function. The longer the use of online social networks, the lower the risk of MCI.
冯腾宇1,2 吴劲松1,2,3 尹莲花4 韩梦宇1,2 杨挺1,2 黄佳1,2,3 刘志臻2,3. 社区中老年人在线社交网络使用与轻度认知障碍的相关性研究[J]. 中国医药导报, 2021, 18(14): 115-118,127.
FENG Tengyu1,2 WU Jingsong1,2,3 YIN Lianhua4 HAN Mengyu1,2 YANG Ting1,2 HUANG Jia1,2,3 LIU Zhizhen2,3. A study on the relationship between the use of online social network and mild cognitive impairment in the middle-aged and elderly in the community. 中国医药导报, 2021, 18(14): 115-118,127.
[1] Jia L，Quan M，FU Y，et al. Dementia in China：epidemiology， clinical management，and research advances [J]. Lancet Neurol，2020，19（1）：81-92.
[2] Livingston G，Sommerlad A，Orgeta V，et al. Dementia prevention，intervention，and care [J]. Lancet，2017，390（10113）：2673-2734.
[3] 王艳红，黄菲芸，郑媛，等.黑龙江省大庆市社区老年人社会隔离与认知功能关联的研究[J].中华流行病学杂志，2017，38（4）：472-477.
[4] 李晋磊，金平阅，王紫娟，等.城市社区老人生活方式与社交网络对认知障碍的影响[J].中华健康管理学杂志，2019（3）：220-223.
[5] Fu C，Li Z，Mao Z. Association between Social Activities and Cognitive Function among the Elderly in China：A Cross-Sectional Study [J]. Int J Environ Res Public Health，2018，15（2）：231.
[6] 柴雯，左美云，田雪松，等.老年用户使用在线社交网络的行为类型研究[J].情报杂志，2016，35（7）：167-172.
[7] Hobbs WR，Burke M，Christakis NA，et al. Online social integration is associated with reduced mortality risk[J]. Proc Natl Acad Sci U S A，2017，113（46）：12980-12984.
[8] Myhre JW，Mehl MR，Glisky EL. Cognitive Benefits of Online Social Networking for Healthy Older Adults[J]. J Gerontol B Psychol Sci Soc Sci，2017，72（5）：752-760.
[9] Turel O，He Q，Brevers D，et al. Social networking sites use and the morphology of a social-semantic brain network [J]. Soc Neurosci，2018，13（5）：628-636.
[10] Nasreddine ZS，Phillips NA，Bédirian V，et al. The Montreal Cognitive Assessment，MoCA：a brief screening tool for mild cognitive impairment [J]. J Am Geriatr Soc，2005， 53（4）：695-699.
[11] Liu J，Li D，Li F，et al. Montreal cognitive assessment in detecting cognitive impairment in Chinese elderly individuals：a population-based study [J]. J Geriatr Psychiatry Neurol，2011，24（4）：184-190.
[12] Lawton MP，Brody EM. Assessment of older people：self-maintaining and instrumental activities of daily living [J]. Gerontologist，1969，9（3）：179-186.
[13] Lubben J，Blozik E，Gillmann G，et al. Performance of an abbreviated version of the Lubben Social Network Scale among three European community-dwelling older adult populations [J]. Gerontologist，2006，46（4）：503-513.
[14] Burke WJ，Roccaforte WH，Wengel SP. The short form of the Geriatric Depression Scale：a comparison with the 30-item form[J]. J Geriatr Psychiatry Neurol，1991，4（3）：173-178.
[15] Winblad B，Palmer K，Kivipelto M，et al. Mild cognitive impairment-beyond controversies，towards a consensus：report of the International Working Group on Mild Cognitive Impairment [J]. J Intern Med，2004，256（3）：240-246.
[16] Yu B，Steptoe A，Chen Y，et al. Social isolation，rather than loneliness，is associated with cognitive decline in older adults：the China Health and Retirement Longitudinal Study [J]. Psychol Med，2020，196（3）：1-8.
[17] Krell-Roesch J，Syrjanen JA，Vassilaki M，et al. Quantity and quality of mental activities and the risk of incident mild cognitive impairment[J]. Neurology，2019，93（6）：e548-e558.
[18] Marseglia A，Wang HX，Rizzuto D，et al. Participating in Mental，Social，and Physical Leisure Activities and Having a Rich Social Network Reduce the Incidence of Diabetes-Related Dementia in a Cohort of Swedish Older Adults [J]. Diabetes Care，2019，42（2）：232-239.
[19] Siegers K，Boxtel M，Jolles J. Computer use in older adults：Determinants and the relationship with cognitive change over a 6 year episode [J]. Comput Human Behav，2012，28（1）：1-10.
[20] Kaye J，Mattek N，Dodge HH，et al. Unobtrusive measurement of daily computer use to detect mild cognitive impairment [J]. Alzheimers Dement，2014，10（1）：10-17.
[21] Silbert LC，Dodge HH，Lahna D，et al. Less Daily Computer Use is Related to Smaller Hippocampal Volumes in Cognitively Intact Elderly[J]. J Alzheimers Dis，2016，52（2）：713-717.
[22] Kim HJ，Kim J. The impact of senior citizens’ use of online social networks on their cognitive function[J]. Int J Educ Res，2014，3（2）：21-30.
[23] Turel O，He Q，Brevers D，et al. Social networking sites use and the morphology of a social-semantic brain network [J]. Soc Neurosci，2018，13（5）：628-636.
[24] Seelye A，Hagler S，Mattek N，et al. Computer mouse movement patterns：A potential marker of mild cognitive impairment [J]. Alzheimers Dement，2016，1（4）：472-480.
[25] Stringer G，Couth S，Brown L，et al. Can you detect early dementia from an email? A proof of principle study of daily computer use to detect cognitive and functional decline [J]. Int J Geriatr Psychiatry，2018，33（7）：867-874.
京公网安备 11010502046598号