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Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities

Mobilizing mHealth Data Collection in Older Adults: Challenges and Opportunities

Consequently, older adults now have increasing access to information and communication technology (ICT) devices, such as smartphones and wearables [1].

Theodore D Cosco, Joseph Firth, Ipsit Vahia, Andrew Sixsmith, John Torous

JMIR Aging 2019;2(1):e10019

Age-Sensitive Design of Online Health Information: Comparative Usability Study

Age-Sensitive Design of Online Health Information: Comparative Usability Study

As a group, older adults are less active users of the Internet and Web services when compared to other age groups [3]. In addition, older adults are also more likely to suffer from various health conditions [4] and take more medications [5].

Richard Pak, Margaux Price, Jason Thatcher

J Med Internet Res 2009;11(4):e45

The Role of Psychological Factors in Older Adults’ Readiness to Use eHealth Technology: Cross-Sectional Questionnaire Study

The Role of Psychological Factors in Older Adults’ Readiness to Use eHealth Technology: Cross-Sectional Questionnaire Study

adults and to evaluate the influence of psychological factors on older adults’ readiness to use eHealth technology, while considering the role of older adults’ close persons (eg, children and friends).

Lenka Knapova, Adam Klocek, Steriani Elavsky

J Med Internet Res 2020;22(5):e14670

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Comparison of Mobile Health Technology Use for Self-Tracking Between Older Adults and the General Adult Population in Canada: Cross-Sectional Survey

Older adults living in the province of Alberta were 4.9 times more likely to be in the digital self-tracking group than the older adults living in other Canadian regions.

Mirou Jaana, Guy Paré

JMIR Mhealth Uhealth 2020;8(11):e24718

An Interactive Home-Based Cognitive-Motor Step Training Program to Reduce Fall Risk in Older Adults: Qualitative Descriptive Study of Older Adults’ Experiences and Requirements

An Interactive Home-Based Cognitive-Motor Step Training Program to Reduce Fall Risk in Older Adults: Qualitative Descriptive Study of Older Adults’ Experiences and Requirements

exercise as an effective fall prevention strategy among community-dwelling older adults [6-9], adherence to fall prevention exercise interventions is often low [10,11], suggesting some reluctance by older adults to take part in such programs [11,12].

Trinidad Valenzuela, Husna Razee, Daniel Schoene, Stephen Ronald Lord, Kim Delbaere

JMIR Aging 2018;1(2):e11975

A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

A Mobile Phone–Based Gait Assessment App for the Elderly: Development and Evaluation

IntroductionBackgroundWith an increasing aging population, 11.9% of the Chinese population was 65 years and older in 2018 [1]. Approximately 28% to 35% of older adults aged 65 years and older fall each year [2].

Runting Zhong, Pei-Luen Patrick Rau

JMIR Mhealth Uhealth 2020;8(5):e14453

A Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People: Protocol for a Mixed-Methods Study

A Smart Home System for Information Sharing, Health Assessments, and Medication Self-Management for Older People: Protocol for a Mixed-Methods Study

For older adults, remaining in their homes promotes independence and well-being [4].Over half of people aged 80 years and older suffer from two or more diseases, such as diabetes, cancer, heart disease, or mental illness [5].

Margaretha Norell Pejner, Wagner Ourique de Morais, Jens Lundström, Hélène Laurell, Ingela Skärsäter

JMIR Res Protoc 2019;8(4):e12447

The Needs of Older Adults With Disabilities With Regard to Adaptation to Aging and Home Care: Questionnaire Study

The Needs of Older Adults With Disabilities With Regard to Adaptation to Aging and Home Care: Questionnaire Study

Saiquan [5] suggested that through adaptation to aging, one-third to half of casualties among older adults can be prevented, and older adults can remain in their original housing for more than 10 years with adequate self-care.

Laiyou Li, Ning Sun, Libo Yu, Xiaoxin Dong, Jing Zhao, Yuchen Ying

JMIR Rehabil Assist Technol 2020;7(2):e16012

The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use

The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use

adults (aged 60 and older), we did so by comparing them with their younger counterparts—low-income homebound adults under age 60.

Namkee G. Choi, Diana M DiNitto

J Med Internet Res 2013;15(5):e93