Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
2.6
2.5
Journals
Behavioral Sciences
Special Issues
Aging and Resiliency
share announcement

Aging and Resiliency

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Geriatric Psychiatry".

Deadline for manuscript submissions: closed (28 February 2022) | Viewed by 10206

Special Issue Editors

Dr. Heidi Ewen

E-Mail Website
Guest Editor
Department of Interprofessional Health and Aging Studies, University of Indianapolis, 1400 East Hanna Avenue, Indianapolis, IN 46227, USA
Interests: aging and environment; senior housing; assisted living; healthcare administration; aging in place; housing satisfaction; stress and coping; social networks and well-being; quality of life
Special Issues, Collections and Topics in MDPI journals
Dr. Katherina Nikzad-Terhune

E-Mail Website
Guest Editor
School of Social Work, Northern Kentucky University, MEP 222G, 1 Nunn Drive, Highland Heights, KY 41099, USA
Interests: dementia caregiving; caregiving onset; mental health; long-term care; gerontological literacy; aging; gerontology

Special Issue Information

Dear Colleagues,

Resiliency has become an important focus over the years in understanding how individuals withstand and adapt to hardships, including various traumas experienced throughout the life course. In particular, understanding the factors that contribute to resiliency in older adulthood is especially relevant as we experience worldwide unprecedented population growth of older adults. Elements of resiliency in older adults, especially during a global pandemic, with a focus on the implications for individuals, families, health systems, and public health. 

As such, this Special Issue aims at advancing the literature on aging and resiliency. Therefore, we welcome theoretical and empirical contributions that expand knowledge on resiliency in older adults, including resiliency during the COVID-19 crisis. 

Dr. Heidi H. Ewen
Dr. Katherina Nikzad-Terhune
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Behavioral Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Resiliency
  • Protective Factors
  • COVID-19
  • Adaptability
  • Trauma
  • Stress and Coping

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 429 KiB  
Article
Antecedents for Older Adults’ Intention to Use Smart Health Wearable Devices-Technology Anxiety as a Moderator
by Mei-Yuan Jeng, Fan-Yun Pai and Tsu-Ming Yeh
Behav. Sci. 2022, 12(4), 114; https://doi.org/10.3390/bs12040114 - 18 Apr 2022
Cited by 30 | Viewed by 6190
Abstract
The increase in the demands for surveillance of chronic diseases, long-term care, and self-health management has allowed mobile smart health wearable devices to become products with greater business potential in past years. Wearable devices being able to be worn for long periods are [...] Read more.
The increase in the demands for surveillance of chronic diseases, long-term care, and self-health management has allowed mobile smart health wearable devices to become products with greater business potential in past years. Wearable devices being able to be worn for long periods are the most suitable for 24-h weatherproof monitoring. Nevertheless, most technological products are not developed specifically for older adults. Older adults might be apprehensive and fearful about the use of technological equipment and might appear “technologically anxious”, so it was wondered whether older adults could smoothly operate and comfortably use smart wearable device products, and how “technological anxiety” would affect their behavior and attitude towards using these devices. The variables of “technology readiness”, “technological interactivity”, “perceived usefulness”, “perceived ease of use”, “attitude”, and “intention to use” are therefore discussed in this study. Taking “technological anxiety” as the moderating variable to develop the questionnaire scale, the quantitative research with structural equation model is applied to discuss the older adults’ intention to use smart health wearable devices. The questionnaire was distributed to older adults’ community care centers, senior centers, and senior learning centers in Taiwan, and to an older adults’ group above the age of 60 with experience in using smart bracelets. A total of 200 questionnaires were distributed, and 183 were retrieved, with 166 valid copies. The research results reveal that users with higher technology readiness, and older adult users with higher technological interactivity, present a higher perceived ease of use and perceived usefulness. Technological anxiety would affect users’ attitude and further influence the intention to use. The research results could help understand older adults’ needs for using smart health wearable devices. Full article
(This article belongs to the Special Issue Aging and Resiliency)
►▼ Show Figures

Figure 1

11 pages, 267 KiB  
Article
Predictors of Mental Health Status among Older United States Adults with Pain
by David R. Axon and Jonathan Chien
Behav. Sci. 2021, 11(2), 23; https://doi.org/10.3390/bs11020023 - 5 Feb 2021
Cited by 10 | Viewed by 3112
Abstract
Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years [...] Read more.
Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years with self-reported pain in the last four weeks using a weighted sample of 2017 Medical Expenditure Panel Survey data. Hierarchical multivariable logistic regression models were used to identify statistically significant predictors of good (versus poor) perceived mental health status. From a weighted population of 57,074,842 individuals, 85.5% (95% confidence interval (CI) = 84.4%, 86.7%) had good perceived mental health. Good mental health was associated most strongly with physical health status (adjusted odds ratio (AOR) = 9.216, 95% CI = 7.044, 12.058). Employed individuals were 1.7 times more likely to report good mental health versus unemployed (AOR = 1.715, 95% CI = 1.199, 2.452). Individuals who had completed less than high school education (AOR = 0.750, 95% CI = 0.569, 0.987) or who reported having a limitation (AOR = 0.513, 95% CI = 0.384, 0.684) were less likely to report good mental health. These key characteristics can be utilized to predict mental health status, which may be investigated to better manage concurrent pain and poor mental health. Full article
(This article belongs to the Special Issue Aging and Resiliency)
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop