Internet use among older adults: Determinants of usage and impacts on individuals' well-being

被引:44
作者
Shi, Jian-gang [1 ]
Liu, Menglan [1 ]
Fu, Guoqiang [2 ]
Dai, Xingying [1 ]
机构
[1] Tongji Univ, Sch Econ & Management, Shanghai 200092, Peoples R China
[2] Tongji Univ, State Key Lab Disaster Reduct Civil Engn, Shanghai 200092, Peoples R China
关键词
Digital divide; Older adult; Internet usage; Well-being; urban-rural gap; SOCIAL-COMPARISON ORIENTATION; DIGITAL DIVIDE; COMPUTER USE; SELF-ESTEEM; PERCEIVED USEFULNESS; MODERATING ROLE; ADOPTION; TECHNOLOGY; ONLINE; CHINA;
D O I
10.1016/j.chb.2022.107538
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
The older population in China will exceed 300 million by 2025. Severe gaps in digital inclusion exist in the information society, and older adults have not received sufficient attention. This study employed a multivariate probit approach to investigate the influencing factors of internet usage (IU) and the impact of IU on well-being using a nationally representative sample of adults aged 50 and over from the 2018 China Family Panel Studies (CFPS). A total of 13,737 individuals were reported in the sample after filtering. After controlling for certain variables, the findings indicated that activities of daily living, cognitive ability, family support, social capital, perceived risk appetite, and perceived importance positively affected IU. In contrast, migration status, the degree of depression, and self-esteem negatively affected IU. Furthermore, the effect of IU on subjective well-being (SWB) could be exerted through perceived usefulness, with an inverted "U" trajectory. There were substantial promotion effects for individuals with lower levels of well-being. Several policy implications are proposed to establish an inclusive IU environment, such as paying more attention to inner-urban older adults rather than just the urban-rural divide, promoting technology to adapt to older adults' demands, and encouraging multiple agents to create a good IU environment for older adults. This study provides new insights into the digital divide and well-being among older adults.
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页数:19
相关论文
共 155 条
[1]   Impact of the use of the internet on quality of life in older adults: review of literature [J].
Aggarwal, Bhumika ;
Xiong, Qian ;
Schroeder-Butterfill, Elisabeth .
PRIMARY HEALTH CARE RESEARCH AND DEVELOPMENT, 2020, 21
[2]   THE THEORY OF PLANNED BEHAVIOR [J].
AJZEN, I .
ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211
[3]  
Ajzen I., 1980, Understanding attitudes and predicting social behavior, DOI DOI 10.1007/978-3-642-69746-3_2
[4]   Examining adoption of mobile internet in Saudi Arabia: Extending TAM with perceived enjoyment, innovativeness and trust [J].
Alalwan, Ali Abdallah ;
Baabdullah, Abdullah M. ;
Rana, Nripendra P. ;
Tamilmani, Kuttimani ;
Dwivedi, Yogesh K. .
TECHNOLOGY IN SOCIETY, 2018, 55 :100-110
[5]   Elderly users' acceptance of mHealth user interface (UI) design-based culture: the moderator role of age [J].
Alsswey, Ahmed ;
Al-Samarraie, Hosam .
JOURNAL ON MULTIMODAL USER INTERFACES, 2020, 14 (01) :49-59
[6]   Individual differences in Internet usage motives [J].
Amiel, T ;
Sargent, SL .
COMPUTERS IN HUMAN BEHAVIOR, 2004, 20 (06) :711-726
[7]   Validation of Land Cover Maps in China Using a Sampling-Based Labeling Approach [J].
Bai, Yan ;
Feng, Min ;
Jiang, Hao ;
Wang, Juanle ;
Liu, Yingzhen .
REMOTE SENSING, 2015, 7 (08) :10589-10606
[8]   SELF-EFFICACY - TOWARD A UNIFYING THEORY OF BEHAVIORAL CHANGE [J].
BANDURA, A .
PSYCHOLOGICAL REVIEW, 1977, 84 (02) :191-215
[9]   Does the utilization of information communication technology promote entrepreneurship: Evidence from rural China [J].
Barnett, William A. ;
Hu, Mingzhi ;
Wang, Xue .
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 141 :12-21
[10]   Factors influencing Internet usage in older adults (65 years and above) living in rural and urban Sweden [J].
Berner, Jessica ;
Rennemark, Mikael ;
Jogreus, Claes ;
Anderberg, Peter ;
Skoldunger, Anders ;
Wahlberg, Maria ;
Elmstahl, Solve ;
Berglund, Johan .
HEALTH INFORMATICS JOURNAL, 2015, 21 (03) :237-249