scholarly journals Motivation behind running among older adult runners

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Patxi León-Guereño ◽  
Héctor Galindo-Domínguez ◽  
Eneko Balerdi-Eizmendi ◽  
Mateusz Rozmiarek ◽  
Ewa Malchrowicz-Mośko
Keyword(s):  
Older Adult ◽  
Family Life ◽  
Online Survey ◽  
Adult Population ◽  
Regression Analyses ◽  
Statistical Association ◽  
Training Experience ◽  
Amateur Athletes ◽  
Gender And Age ◽  
Older Adult Population

Abstract Background Recreational running has greatly increased over the last decade, and different research has tried to understand the motivation that leads these amateur athletes to run. However, most research has focused on adult athletes, while the motivation behind older adult athletes has been overlooked. Methods The aim of this research was to analyse the motivational aspects of amateur runners aged over 50 years, and to consider the influence that years of practice, type of participation and some socio-demographical variables have on these older adults’ motivation behind running. 244 older adult amateur athletes in total completed an online survey with the 56 items contained in the motivation of marathoners scales (MOMS), 108 of whom were female (44%), and 136 were male runners (56%). Athletes were asked about their years’ running experience (< 1 year, 1–5 years, 6–10 years, > 10 years), their participation in running events (recreationally, half marathon, marathon, ultramarathon) and age (ranges 50–60, more than 60 years), gender (male, female), family life (whether in a relationship or not), and whether they had children (yes, no). Results The results showed statistical differences in the nine MOMS dimensions in terms of years’ running experience and participation in different running events. Moreover, older adult runners’ gender and age subsequently showed statistical differences with five and six motivational factors respectively, while athletes that did not have children were more likely to run regarding competition and showing recognition. Family life did not show any statistical association with any of the dimensions on the scale in this population, while regression analyses showed that, mainly, years’ running experience and participation were positively predicted, together with most motivational dimensions, while having children was negatively predicted in some of them. Conclusions This study showed that older adult runners’ reasons for participating differ from those obtained in previous studies, especially regarding training experience and participation in events. Therefore, the older adult population should be specifically addressed.

scholarly journals The Development of a Scale to Measure HIV-Prevention Factors in Adults Age 50 and Older

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 499-500
Author(s):  
Rachel Wion ◽  
Susan Loeb ◽  
Jacqueline Mogle ◽  
Donna Fick
Keyword(s):  
Older Adults ◽  
Hiv Prevention ◽  
Older Adult ◽  
Online Survey ◽  
Adult Population ◽  
Model Fit ◽  
Adolescent And Young Adult ◽  
Analysis Model ◽  
Factor Analysis Model ◽  
Older Adult Population

Abstract Adults aged 50 and older are at risk for human immunodeficiency virus (HIV) infection. Currently, there are no measures specifically aimed at middle-aged and older adults to assess their HIV risk. Existing measures have been created for and mostly tested in adolescent and young adult populations. The purpose of this study was to modify and test existing instruments related to HIV prevention factors with an older adult population. Two rounds of an expert panel (N = 10) review were conducted to assess items from the Condom Use Self-Efficacy Scale and the Sexual Risks Scale for their applicability to older adults. Any items with content validity at the item level &lt;0.78 were either discarded or modified. New items were also added. The final adapted HIV prevention scale had 31 items and was administered via an online survey. Single adults (N = 252) aged 50 to 85 who had been on at least one date over the past year participated in the study. The HIV prevention scale underwent confirmatory factor analysis. Model fit was estimated using maximum likelihood and standardized estimates were used for factor loadings. The items loaded on eight factors in three models: Model 1 (Mechanics, Advocacy, Intoxicants); Model 2 (Attitudes, Normative Beliefs, Perceived Susceptibility); and Model 3 (Intention, Expectations). There was adequate to excellent model fit. However, there were multiple correlations of error variances suggesting that while the items are appropriate for an older adult population, the scale will need adaptations prior to using for further data collection.

Dental fear and anxiety in an older adult population

1991 ◽  
Vol 19 (2) ◽  
pp. 120-124 ◽  
Author(s):  
David Locker ◽  
Andree Liddell ◽  
David Burman
Keyword(s):  
Older Adult ◽  
Adult Population ◽  
Dental Fear ◽  
Fear And Anxiety ◽  
Older Adult Population

scholarly journals Why Are Native Hawaiians Underrepresented in Hawai‘i's Older Adult Population? Exploring Social and Behavioral Factors of Longevity

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Lana Sue Ka‘opua ◽  
Kathryn L. Braun ◽  
Colette V. Browne ◽  
Noreen Mokuau ◽  
Chai-Bin Park
Keyword(s):  
Older Adult ◽  
Native Hawaiian ◽  
Adult Population ◽  
Historical Trauma ◽  
Health Indicators ◽  
Native Hawaiians ◽  
Future Research ◽  
Behavioral Factors ◽  
Poverty Level ◽  
Older Adult Population

Native Hawaiians comprise 24.3% of Hawai‘i's population, but only 12.6% of the state's older adults. Few published studies have compared health indicators across ethnicities for the state's older adult population or focused on disparities of Native Hawaiian elders. The current study examines data from two state surveillance programs, with attention to cause of death and social-behavioral factors relevant to elders. Findings reveal that Native Hawaiians have the largest years of productive life lost and the lowest life expectancy, when compared to the state's other major ethnic groups. Heart disease and cancer are leading causes of premature mortality. Native Hawaiian elders are more likely to report behavioral health risks such as smoking and obesity, live within/below 100–199% of the poverty level, and find cost a barrier to seeking care. Indicated is the need for affordable care across the lifespan and health services continuum. Future research might explain behavioral factors as influenced by social determinants, including historical trauma on Native Hawaiian longevity.

scholarly journals Educational and labor inclusion of the elderly in the UAEM

2020 ◽  
pp. 25-31
Author(s):  
Alma Janeth Moreno-Aguirre ◽  
Eliseo Guajardo-Ramos ◽  
María Araceli Ortiz-Rodríguez ◽  
Ulises Delgado-Sánchez
Keyword(s):  
Higher Education ◽  
Psychosocial Factors ◽  
Older Adult ◽  
Adult Population ◽  
The Elderly ◽  
Inclusion Process ◽  
Older Adult Population

Objective. Analyze the process of educational and labor inclusion of the elderly in higher education of the UAEM. Methodology. An analysis of the process of educational and labor inclusion in the older adult population who are workers and students of the UAEM was carried out. The needs they present, the conditions in which they are found, and the supports provided were identified. This analysis was carried out from a cognitive, neurobiological perspective with or without the presence of disability or chronicdegenerative disease; as well as the search for socioaffective indicators or other psychosocial factors that may impact this inclusion process. Contribution. The results obtained will allow establishing strategies to improve the process of educational and labor inclusion in this population considered as vulnerable.

scholarly journals COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 7991
Author(s):  
Jon Kerexeta Sarriegi ◽  
Andoni Beristain Iraola ◽  
Roberto Álvarez Sánchez ◽  
Manuel Graña ◽  
Kristin May Rebescher ◽  
...  
Keyword(s):  
Older Adults ◽  
Older Adult ◽  
Visual Analytics ◽  
Web Application ◽  
Adult Population ◽  
Research Area ◽  
Web Based ◽  
Virtual Coaching ◽  
Evolution Analysis ◽  
Older Adult Population

The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.

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