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Xu Y, Huang Y. Chinese Middle-Aged and Older Adults' Internet Use and Happiness: The Mediating Roles of Loneliness and Social Engagement. J Appl Gerontol 2020; 40:1846-1855. [PMID: 32954905 DOI: 10.1177/0733464820959168] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Little research has examined the effects of internet use in promoting well-being among middle-aged and older people using large-scale samples in developing countries. Using a subsample of a national survey with 4,083 adults aged 50 years and above, we explored this topic in China. Internet users were found to be significantly younger, more educated, with a higher SES, and more likely to live in urban areas. Structural equation modeling showed that internet use was indirectly associated with higher levels of happiness, and this association was mediated by less loneliness and more volunteering. In the multi-group analysis, age, gender, and household registration (urban vs. rural) moderated path coefficients but did not impact the general pattern. This study suggests promising benefits of internet use for Chinese middle-aged and older adults. In addition, the digital divide between our urban and rural subsamples calls for interventions to promote internet use in rural areas.
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Affiliation(s)
- Yi Xu
- Shanghai Jiao Tong University, China
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52
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Kim J, Lee HY, Won CR, Barr T, Merighi JR. Older adults' technology use and its association with health and depressive symptoms: Findings from the 2011 National Health and Aging Trends Study. Nurs Outlook 2020; 68:560-572. [PMID: 32527596 PMCID: PMC7205676 DOI: 10.1016/j.outlook.2020.05.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 04/27/2020] [Accepted: 05/03/2020] [Indexed: 12/27/2022]
Abstract
Background Information and communication technology (ICT) provides older adults with access to information and resources that benefit their health. Purpose To explore ICT use among older adults and examine the influence of information technology (IT), communication technology (CT), or ICT use on older adults' self-rated health status and depressive symptoms. Method A sample of community-dwelling Medicare beneficiaries aged 65 and older in the United States (N = 4,976) from the 2011 National Health and Aging Trends Study. Findings Older adults who embraced ICT and used this technology for a variety of purposes were more likely to report better health status, and were less likely to experience major depressive symptoms than nonusers. Discussion In accordance with the Health Information Technology for Economic and Clinical Health Act, nursing professional can play an important role by responding to older adults' diverse technology preferences and effectively incorporating them into nursing practice.
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Affiliation(s)
- Jeehoon Kim
- Department of Sociology, Social Work, and Criminology, Idaho State University, Pocatello, ID.
| | - Hee Yun Lee
- School of Social Work, University of Alabama, Tuscaloosa, AL
| | - Cho Rong Won
- School of Social Work, University of Alabama, Tuscaloosa, AL
| | - Tina Barr
- Department of Social Work, University of North Carolina at Pembroke, Pembroke, NC
| | - Joseph R Merighi
- School of Social Work, University of Minnesota, Twin Cities, St. Paul, MN
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53
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Choi NG, DiNitto DM, Lee OE, Choi BY. Internet and Health Information Technology Use and Psychological Distress Among Older Adults With Self-Reported Vision Impairment: Case-Control Study. J Med Internet Res 2020; 22:e17294. [PMID: 32490851 PMCID: PMC7301257 DOI: 10.2196/17294] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2019] [Revised: 02/02/2020] [Accepted: 03/29/2020] [Indexed: 01/12/2023] Open
Abstract
BACKGROUND The number of older adults with vision impairment (VI) is growing. As health care services increasingly call for patients to use technology, it is important to examine internet/health information technology (HIT) use among older adults with VI. OBJECTIVE This study aimed to examine (1) the rates of internet/HIT use among older adults with VI compared with a matched sample of their peers without VI, (2) associations of VI with internet/HIT use, and (3) association of HIT use with psychological distress, assessed with the Kessler-6 screen. METHODS Data were obtained from the 2013 to 2018 US National Health Interview Survey. Older adults (aged ≥65 years) with self-reported VI were matched with older adults without VI, in a 1:1 ratio, based on age, sex, number of chronic medical conditions, and functional limitations (N=2866). Descriptive statistics and multivariable logistic regression models, with sociodemographic factors, health conditions, health insurance type, and health care service use as covariates, were used to examine the research questions. RESULTS In total, 3.28% of older adults (compared with 0.84% of those aged 18-64 years) reported VI, and 25.7% of them were aged ≥85 years. Those with VI were significantly more socioeconomically disadvantaged than those without VI and less likely to use the internet (adjusted odds ratio [aOR] 0.64, 95% CI0.49-0.83) and HIT (aOR 0.74, 95% CI 0.56-0.97). However, among internet users, VI was not associated with HIT use. HIT use was associated with lower odds of mild/moderate or serious psychological distress (aOR 0.62, 95% CI 0.43-0.90), whereas VI was associated with greater odds of mild/moderate or serious distress (aOR 1.84, 95% CI 1.36-2.49). Health care provider contacts were also associated with higher odds of internet or HIT use. CONCLUSIONS Compared with their matched age peers without VI, older adults with VI are less likely to use HIT because they are less likely to use the internet. Socioeconomically disadvantaged older adults experiencing a digital divide need help to access information and communication technologies through a fee waiver or subsidy to cover internet equipment and subscription and ensure continuous connectivity. Older adults with VI who do not know how to use the internet/HIT but want to learn should be provided instruction, with special attention to accessibility features and adaptive devices. Older adults with a low income also need better access to preventive eye care and treatment of VI as well as other health care services.
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Affiliation(s)
- Namkee G Choi
- Steve Hicks School of Social Work, The University of Texas at Austin, Austin, TX, United States
| | - Diana M DiNitto
- Steve Hicks School of Social Work, The University of Texas at Austin, Austin, TX, United States
| | - Othelia EunKyoung Lee
- School of Social Work, University of North Carolina at Charlotte, Charlotte, NC, United States
| | - Bryan Y Choi
- Department of Emergency Medicine, Brown University, Providence, RI, United States
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54
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Köttl H, Fallahpour M, Hedman A, Nygård L, Kottorp A. Depression, everyday technology use and life satisfaction in older adults with cognitive impairments: a cross-sectional exploratory study. Scand J Caring Sci 2020; 35:233-243. [PMID: 32200561 DOI: 10.1111/scs.12838] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 02/13/2020] [Indexed: 11/29/2022]
Abstract
RATIONAL Life satisfaction is strongly associated with participation in everyday life activities. Yet, older adults with cognitive impairments have been found to experience difficulties in accessing and engaging in more complex everyday activities, especially, if these involve everyday technology. Considering the rapidly advancing technological landscape, this may substantially affect individuals' life satisfaction and their participation in meaningful community-based and home-based activities. OBJECTIVES This study aimed to explore the associations between life satisfaction, ability to use everyday technology and number of relevant everyday technologies used in older adults (n = 117) with and without mild cognitive impairment (MCI) and Alzheimer's disease (AD). It also aimed to understand the role of depression, activity involvement and diagnosis regarding life satisfaction in this sample. METHOD Descriptive statistics, Mann-Whitney U tests and t-tests were applied to compare those satisfied and those dissatisfied with life regarding ability to use everyday technology and number of relevant everyday technologies used. FINDINGS The number of relevant community-based everyday technologies currently not used was significantly associated with being dissatisfied with life (p < 0.05). Further, depression and withdrawal from activities and interests significantly differed across life satisfaction groups, while no group differences were found regarding overall number of everyday technologies in use and ability to use everyday technology. CONCLUSION Attention from healthcare professionals and researchers to early withdrawal from activities that rely on community-based everyday technologies is called for, especially in older adults with depression. Preventing everyday technology-related barriers in community life may increase life satisfaction.
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Affiliation(s)
- Hanna Köttl
- Faculty of Social Sciences, Bar-Ilan University, Ramat Gan, Israel
| | - Mandana Fallahpour
- Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy, Karolinska Institutet, Huddinge, Sweden
| | - Annicka Hedman
- Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy, Karolinska Institutet, Huddinge, Sweden
| | - Louise Nygård
- Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy, Karolinska Institutet, Huddinge, Sweden
| | - Anders Kottorp
- Department of Neurobiology, Care Sciences and Society, Division of Occupational Therapy, Karolinska Institutet, Huddinge, Sweden.,Faculty of Health and Society, Malmö University, Malmö, Sweden
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55
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Ye B, Zhu Y, Wang X, Wei S, Liang Y. Association between sleep-wake habits and use of health care services of middle-aged and elderly adults in China. Aging (Albany NY) 2020; 12:3926-3935. [PMID: 32092045 PMCID: PMC7066913 DOI: 10.18632/aging.102860] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 02/04/2020] [Indexed: 05/07/2023]
Abstract
OBJECTIVE To examine the relationship between sleep-wake habits and the use of health care services. RESULTS The proportions of the participants who were "early to bed" and "late to bed" were 48.7% and 51.3%, respectively. In the full sample, compared with those who were early to bed and early to rise, participants who went to bed late were more likely to report physician visits (late to bed and early to rise: OR = 1.13, 95% CI: 1.08-1.19, late to bed and late to rise: OR = 1.27, 95% CI: 1.18-1.38, respectively). We found no significant association between sleep-wake habits and the number of hospitalization. CONCLUSIONS Those middle-aged and elderly people who stayed up late and got up late are more likely to visit the doctors than those who went to bed early and got up early. METHODS We obtained data from a cohort study of retired employees in China, and 36,601 (95.59%) involved in the present study. The participants were allocated into 4 sleep-wake habits groups: Early-bed/Early-rise, Early-bed/Late-rise, Late-bed/Early-rise, and Late-bed/Late-rise. We explored the association between sleep-wake habits with the number of physician visits and hospitalizations.
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Affiliation(s)
- Beizhu Ye
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yimei Zhu
- School of Media, Communication and Sociology, University of Leicester, Leicester LE1 7JA, UK
| | - Xiaoyu Wang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Sheng Wei
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yuan Liang
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
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Pauly T, Lay JC, Kozik P, Graf P, Mahmood A, Hoppmann CA. Technology, Physical Activity, Loneliness, and Cognitive Functioning in Old Age. GEROPSYCH 2019. [DOI: 10.1024/1662-9647/a000208] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Abstract. Information and communication technology (ICT) has the potential to benefit aging processes. This study examined portable ICT usage and associated changes in physical activity, loneliness, and cognitive functioning. Ninety-two mostly-novice tablet-users aged 51–85 years participated in technology workshops and then reported on their portable ICT use biweekly for 6+ months. Physical activity, loneliness, and executive functioning were assessed before and after this period. More frequent use of exercise functions was associated with more moderate-intensity physical activity and less sitting, controlling for pretracking levels. More frequent use of social functions was associated with more social loneliness and a tendency toward less emotional loneliness, controlling for pretracking levels of loneliness. The use of exercise and social functions showed no associations with executive functioning. Portable ICT thus may bring both risks and benefits for physical and social functioning in older adulthood.
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Affiliation(s)
- Theresa Pauly
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Jennifer C. Lay
- Department of Psychology, Chinese University of Hong Kong, Shatin, NT, Hong Kong SAR
| | - Pavel Kozik
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Peter Graf
- Department of Psychology, University of British Columbia, Vancouver, BC, Canada
| | - Atiya Mahmood
- Department of Gerontology, Simon Fraser University, Vancouver, BC, Canada
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57
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Fang Y, Chau AKC, Fung HH, Woo J. Loneliness Shapes the Relationship between Information and Communications Technology Use and Psychological Adjustment among Older Adults. Gerontology 2019; 65:198-206. [PMID: 30814472 DOI: 10.1159/000495461] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2018] [Accepted: 11/15/2018] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Given findings that generally support the benefits of information and communication technology (ICT) for older adults' psychosocial adjustment, one might surmise that lonely older adults, who have a stronger need for psychological support, would reap more psychosocial benefits from ICT use. However, scant research has examined this view, much less the likelihood that ICT use might worsen the psychological well-being of lonely older adults, as has been shown to be the case in younger adults. OBJECTIVE To examine whether the association between ICT use and psychological adjustment (i.e., psychological distress and sense of community [SOC]) among older adults depends on their loneliness levels. METHODS A representative sample of 738 Hong Kong SAR Chinese older adults aged 60 years or older (56% female) was interviewed in 2017 on loneliness, frequency of ICT use (i.e., Internet and smart devices), psychological distress (6-item Kessler scale; K6), and SOC. RESULTS Regression analyses showed that loneliness significantly moderated the relationship between ICT use frequency and psychological adjustment (psychological distress and SOC); more frequent ICT use was associated with more psychological distress and less SOC, with higher levels of loneliness. CONCLUSION These findings suggest that ICT use may be a mixed blessing for older adults, i.e., using more ICT might predict worse psychological adjustment among lonelier older adults. Efforts that promote ICT use among older adults should take their loneliness levels into account.
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Affiliation(s)
- Yang Fang
- CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Sha Tin, Hong Kong,
| | - Anson K C Chau
- Department of Psychology, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Helene H Fung
- Department of Psychology, The Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Jean Woo
- CUHK Jockey Club Institute of Ageing, The Chinese University of Hong Kong, Sha Tin, Hong Kong.,Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Sha Tin, Hong Kong
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58
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Recognizing Physical Activity of Older People from Wearable Sensors and Inconsistent Data. SENSORS 2019; 19:s19040880. [PMID: 30791587 PMCID: PMC6412200 DOI: 10.3390/s19040880] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2018] [Revised: 01/15/2019] [Accepted: 02/04/2019] [Indexed: 11/25/2022]
Abstract
The physiological monitoring of older people using wearable sensors has shown great potential in improving their quality of life and preventing undesired events related to their health status. Nevertheless, creating robust predictive models from data collected unobtrusively in home environments can be challenging, especially for vulnerable ageing population. Under that premise, we propose an activity recognition scheme for older people exploiting feature extraction and machine learning, along with heuristic computational solutions to address the challenges due to inconsistent measurements in non-standardized environments. In addition, we compare the customized pipeline with deep learning architectures, such as convolutional neural networks, applied to raw sensor data without any pre- or post-processing adjustments. The results demonstrate that the generalizable deep architectures can compensate for inconsistencies during data acquisition providing a valuable alternative.
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