PATTERNS OF MULTIPLE HEALTH-RELATED BEHAVIORS IN NON-DISABLED OLDER ADULTS WITH FRAILTY

The aim of this study was to identify the prevalence and clustering of health-related behaviors in Spanish adolescents and to examine their association with sex, body mass index (BMI), different types of sedentary screen time, and adherence to 24-hour movement guidelines. A final sample of 173 students (M = 12.99 ± 0.51) participated in this study. Cluster analysis was conducted based on five health-related behaviors: PA and sedentary time derived from accelerometers, as well as healthy diet, sedentary screen time, and sleep duration derived from self-reported scales. Recommendations for 24-hour movement guidelines (i.e., physical activity (PA), screen time, and sleep duration) were analyzed both independently and combined. A total of 8.9% of the sample did not meet any of the guidelines, whereas 72.3%, 17.3%, and 1.7% of the sample met 1, 2, or all 3 guidelines, respectively. Six distinct profiles were identified, most of them showing the co-occurrence of healthy- and unhealthy-related behaviors. Given that most of the adolescents failed to meet the combination of PA, screen time, and sleep duration guidelines, these findings suggest the necessity to implement school-based interventions that target multiple health behaviors, especially because (un)healthy behaviors do not always cluster in the same direction.

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Challenges and Opportunities for Developing and Implementing Incentives to Improve Health-Related Behaviors in Older Adults

Journal of the American Geriatrics Society ◽

10.1111/j.1532-5415.2010.03030.x ◽

2010 ◽

Vol 58 (9) ◽

pp. 1758-1763 ◽

Cited By ~ 14

Author(s):

Eran Klein ◽

Jason Karlawish

Keyword(s):

Older Adults ◽

Health Related Behaviors ◽

Challenges And Opportunities ◽

Health Related ◽

Improve Health

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Facilitating change in health-related behaviors and intentions: a randomized controlled trial of a multidimensional memory program for older adults†

Aging & Mental Health ◽

10.1080/13607863.2013.789000 ◽

2013 ◽

Vol 17 (7) ◽

pp. 806-815 ◽

Cited By ~ 22

Author(s):

Melanie A. Wiegand ◽

Angela K. Troyer ◽

Christina Gojmerac ◽

Kelly J. Murphy

Keyword(s):

Older Adults ◽

Randomized Controlled Trial ◽

Controlled Trial ◽

Randomized Controlled ◽

Health Related Behaviors ◽

Health Related

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PATTERN OF HEALTH-RELATED BEHAVIORS AND RESOURCES AS PREDICTOR OF MEDICAL CARE AND MORTALITY RISK AMONG OLDER ADULTS

Innovation in Aging ◽

10.1093/geroni/igz038.2551 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S692-S693

Author(s):

Dongmei Zuo ◽

Merril D Silverstein

Keyword(s):

Physical Activity ◽

Older Adults ◽

Substance Abuse ◽

Nursing Home ◽

Health Insurance ◽

Health Behaviors ◽

Medical Care ◽

Health Related Behaviors ◽

Lower Likelihood ◽

Health Related

Abstract This study investigates the patterns and consequences of a wide range of health-related behaviors and resources that include health-compromising behaviors, health-promoting behaviors, preventive health behaviors, and health risks coping resources. We aim to identify the empirically-derived subgroups of individuals with unique profiles of health behaviors and resources to determine how subgroup membership predicts health outcomes and medical care utilization four years later. Data derived from 5,067 respondents in the 2010 and 2014 waves of the Health and Retirement Study. Latent class analysis was used to define classes based on 13 indicators in the 2010 wave, which also provided sociodemographic and health-related covariates. Outcomes were measured over 4 years. Six latent subgroups were identified: “Best Behavior/Resources”, “Low Social Support “, “Low Physical Activity”, “High Substance Abuse”, “Low Preventive Tests”, and “Low Governmental Health Insurance”. Compared with the “Best” group, older adults identified as “Low Physical Activity” and “High Substance Abuse” were found to have higher mortality risks and a lower likelihood of seeing doctors and less nursing home nights; older adults with the lowest level of receiving flu shots, cholesterol and cancer screen test (“Low Preventive Tests”) reported a less likelihood of seeing doctors; respondents in “Low Governmental Health Insurance” subgroup were associated with a lower likelihood of hospital stay and more nursing home nights. Results suggest that distinct groups of older individuals characterized by their health behaviors and resources provide a basis for identifying the high-risk segment of the older population for intervention.

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Feasibility and Efficacy of Life Logging System Using TouchCare Application for Older Adults Living Alone: Pilot Study (Preprint)

10.2196/preprints.35866 ◽

2021 ◽

Author(s):

Jo Woon Seok ◽

Yu-Jin Kwon ◽

Hyangkyu Lee

Keyword(s):

Older Adults ◽

Health Status ◽

Older People ◽

Communication Technology ◽

Living Alone ◽

Sensor Data ◽

Psychological Status ◽

Post Intervention ◽

Health Related Behaviors ◽

Health Related

BACKGROUND With the number of older people living alone continuously rising, health-monitoring systems using information and communication technology (ICT) have been developed to manage their health issues. Life logging, a type of ICT, has been adapted to manage and monitor health status of the elderly. However, its feasibility and efficacy remain unclear. OBJECTIVE This study aimed to examine the feasibility of a life logging system combined with human body communication technology and its effect on the physical and psychological status of older adults living alone. METHODS The life logging system, which consisted of a wearable watch, touchpad sensors, TouchCare application, and context-aware artificial intelligence, was developed by DNX Co. Ltd and used by the participants for 5 months. Out of the 111 selected participants, 91 replied to the satisfaction survey, and 22 participated in further investigation regarding their physical and psychological status. Finally, health assessment and sensor data from 14 participants (mean age=77.4; SD=3.8) were analyzed to compare their health status and health-related behaviors before and after use of the system. RESULTS Out of the 91 participants who took the survey, 51.6% were satisfied with the system. Nutritional status (pre-intervention (10.6± 2.0) vs. post-intervention (11.8± 1.9), P=0.04) and fall efficacy (pre-intervention (89.2± 15.3) vs. post-intervention (99.9± 0.5), P=0.001) significantly improved after use of the system. Chronic pain (pre-intervention (4.8± 2.5) vs. post-intervention (4.4± 3.7), P=0.78) and depressive symptoms (pre-intervention (5.7± 3.9) vs. post-intervention (5.4± 3.1), P=0.60) reduced, while cognitive function (pre-intervention (4.1± 1.4) vs. post-intervention (4.6± 1.1), P=0.15) and physical performance related to walking improved (pre-intervention (3.9± 0.2) vs. post-intervention (4.0± 0), P=0.35), but were not significant. Behaviors related to physical activity and gait improved after use of the system; touch counts of refrigerator and microwave also increased with a decrease in night touch counts. CONCLUSIONS The life logging system was acceptable to older people living alone, and it efficiently managed their daily living while promoting their health-related behaviors. Further experimental studies are required to verify the effectiveness of the system, and to develop the system which meet the individualized needs of older people living alone.

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