scholarly journals Time allocation to active daily domains, physical activity, and health indicators in older adults: Cross-sectional results from the OUTDOOR ACTIVE study.

2020 ◽  
Author(s):  
Imke Stalling ◽  
Birte Marie Albrecht ◽  
Friederike Doerwald ◽  
Karin Bammann
Keyword(s):  
Older Adults ◽  
Active Transport ◽  
Time Allocation ◽  
Leisure Activities ◽  
Health Indicators ◽  
Cross Sectional ◽  
Physically Active ◽  
Self Rated Health ◽  
Home Based ◽  
Objectively Measured

Abstract Background Physical activity (PA) is one of the key determinants of healthy ageing. Research showed that time allocation plays an important role in PA. Therefore, an understanding of the time use of older adults is crucial for developing PA programs. The aim of this study was to examine the associations of time allocation and objectively measured PA, and several health indicators in older adults. Methods In this cross-sectional study all 915 participants of the OUTDOOR ACTIVE study were included. The participants were 65 to 75 years old and resided in a subdistrict of Bremen, Germany (50.9% female). The active daily domains were derived from the SLOTH model (leisure activities, occupation, active transport, home-based activities). PA was objectively measured with accelerometers over seven consecutive days. Binary logistic regressions were used to test the associations of total PA and time spent in the domains with several health indicators (self-rated health, overweight, obesity, activities of daily living (ADL), handgrip strength). Results Participants over the age of 70 years were significantly less physically active than those under 70 years and women were significantly more physically active than men. Regardless of age and sex, most time was spent on home-based activities (women: 118.5 ± 87.8 min/day; men: 80.2 ± 69.4 min/day). Both PA and time spent on leisure activities were associated with a lower risk of bad self-rated health (0.36; 95%-CL: 0.20, 0.65 for PA; 0.93; 95%-CL: 0.87, 0.99 for leisure activities) and less limitations in ADL. PA and active transport seemed to lower the risk of overweight (0.39; 95%-CL: 0.25, 0.62 for PA; 0.80; 95%-CL: 0.69, 0.93 for active transport) and obesity (0.36; 95%-CL: 0.21, 0.60 for PA; 0.77; 95%-CL: 0.64, 0.92 for active transport). Having an occupation was associated with a lower risk of bad self-rated health (0.60; 95%-CL: 0.40, 0.92). Conclusions The results of this study provide insights in the time allocation to active daily domains and total PA of older adults, as well as the associations with health indicators. These findings have important implications for the development of PA programs. Future research should examine the associations further in longitudinal studies.

scholarly journals Time allocation to active domains, physical activity, and health indicators in older adults: cross-sectional results from the OUTDOOR ACTIVE study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Imke Stalling ◽  
Birte Marie Albrecht ◽  
Friederike Doerwald ◽  
Karin Bammann
Keyword(s):  
Older Adults ◽  
Active Transport ◽  
Time Allocation ◽  
Leisure Activities ◽  
Health Indicators ◽  
Cross Sectional ◽  
Physically Active ◽  
Self Rated Health ◽  
Home Based ◽  
Objectively Measured

Abstract Background Physical activity (PA) is one of the key determinants of healthy ageing. Research showed that time allocation plays an important role in PA. Therefore, an understanding of the time use of older adults is crucial for developing PA programs. The aim of this study was to examine the associations of time allocation and objectively measured PA, and several health indicators in older adults. Methods In this cross-sectional study all 915 participants of the OUTDOOR ACTIVE study were included. The participants were 65 to 75 years old and resided in a subdistrict of Bremen, Germany (50.9% female). The active domains were derived from the SLOTH model (leisure activities, occupation, active transport, home-based activities). PA was objectively measured with accelerometers over seven consecutive days. Binary logistic regressions were used to test the associations of total PA and time spent in the domains with several health indicators (self-rated health, overweight, obesity, activities of daily living (ADL)). Results Participants over the age of 70 years were significantly less physically active than those under 70 years and women were significantly more physically active than men. Regardless of age and sex, most time was spent on home-based activities (women: 118.5 ± 87.8 min/day; men: 80.2 ± 69.4 min/day). Both PA and time spent on leisure activities were associated with a lower risk of bad self-rated health (0.36; 95%-CL: 0.20, 0.65 for PA; 0.93; 95%-CL: 0.87, 0.99 for leisure activities) and less limitations in ADL. PA and active transport seemed to lower the risk of overweight (0.39; 95%-CL: 0.25, 0.62 for PA; 0.80; 95%-CL: 0.69, 0.93 for active transport) and obesity (0.36; 95%-CL: 0.21, 0.60 for PA; 0.77; 95%-CL: 0.64, 0.92 for active transport). Having an occupation was associated with a lower risk of bad self-rated health (0.60; 95%-CL: 0.40, 0.92). Conclusions The results of this study provide insights in the time allocation to active domains and total PA of older adults, as well as the associations with health indicators. These findings have important implications for the development of PA programs and guidelines. Future research should examine the associations further in longitudinal studies.

Barriers and Facilitators for the Romanian Older Adults in Enjoying Physical Activity Health-Related Benefits

2021 ◽  
Vol 13 (22) ◽  
pp. 12511
Author(s):  
Constanta Urzeala ◽  
Veronica Popescu ◽  
Daniel Courteix ◽  
Georgeta Mitrache ◽  
Mihaela Roco ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Urban Areas ◽  
Leisure Activities ◽  
The Elderly ◽  
Health Condition ◽  
Physical Activities ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Physically Active

Older adults are considered a vulnerable category within the population, which is exposed to an accelerated risk of functional degeneration. The purpose of this study was to explore different facilitating factors and possible existing barriers to being physically active in older age in urban areas of Romania. A cross-sectional survey was conducted among 172 participants who were asked to assess their health, on a scale from 1 to 3, and to fill out two questionnaires: 1. Physical Activity Scale for the Elderly; 2. Depression, Anxiety, and Stress Scale. Participants were also asked to specify to what extent they performed different leisure activities during the last week. SPSS was used for data analysis. The chi-squared test, t-test, ANOVA, and MANOVA emphasised the differences between participants, at p < 0.05. Regarding health condition, 27.3% of participants responded that their health was good, 53.5%—satisfactory, and 19.2%—not so good. The results showed significant differences between older adults participating in Elderly Clubs and non-participants, only in terms of PASE leisure. There were significant multivariate effects of the variables Gender and Stable life partner regarding PASE leisure. Weak negative correlations were identified between leisure physical activities and emotional state. Among the proposed leisure activities, watching TV and listening to music represented the most frequent preferences of the participants. The older adults participating in this study preferred to become involved with different physical activities, in conjunction with their habits, health, age, sex, stable life partner, and Elderly Club participation.

Perceived Voice Disorders in Older Adults and Impact on Social Interactions

2021 ◽  
pp. 1-8
Author(s):  
Connie K. Porcaro ◽  
Clare Singer ◽  
Boris Djokic ◽  
Ali A. Danesh ◽  
Ruth Tappen ◽  
...  
Keyword(s):  
Older Adults ◽  
Social Interactions ◽  
Social Engagement ◽  
Leisure Activities ◽  
Treatment Strategies ◽  
Voice Disorders ◽  
Community Dwelling ◽  
Vocal Performance ◽  
Older Individuals ◽  
Cross Sectional

Purpose Many aging individuals, even those who are healthy, report voice changes that can impact their ability to communicate as they once did. While this is commonly reported, most do not seek evaluation or management for this issue. The purpose of this study was to investigate the prevalence and differences in voice disorders in older adults, along with the effect of fatigue on their social interactions. Method This is a cross-sectional investigation of a community-dwelling sample of individuals aged 60 years or older. Participants completed the Questionnaire on Vocal Performance, the Social Engagement Index subset “Engagement in Social or Leisure Activities,” and the Fatigue Severity Scale. Results Results indicated 32.5% of the 332 participants reported symptoms of voice problems with no difference found between male and female respondents. A slight increase in report of voice problems was noted with each year of age. Participants who self-reported voice problems indicated less interaction in social activities involving communication than those who did not. Finally, as severity of self-reported voice problems increased, an increase was reported by the same individuals for signs of fatigue. Conclusions Voice problems and resulting decreased social interaction are commonly experienced by older individuals. Voice symptoms in older adults have been found to benefit from evidence-based treatment strategies. It is critical to provide education to encourage older individuals to seek appropriate evaluation and management for voice issues through a speech-language pathologist or medical professional.

scholarly journals Quality of Life and Associated Factors in Young Workers

2021 ◽  
Vol 18 (4) ◽  
pp. 2153
Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Márcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Young Workers ◽  
Cross Sectional ◽  
Physically Active ◽  
Significance Level ◽  
Self Rated Health ◽  
Assess Quality

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.

scholarly journals WHAT IS THE ROLE BODY SWAY DEVIATION AND BODY SWAY VELOCITY PLAY IN POSTURAL STABILITY IN OLDER ADULTS?

2013 ◽  
Vol 56 (3) ◽  
pp. 117-123 ◽  
Author(s):  
Jitka Jančová Všetečková ◽  
Nicholas Drey
Keyword(s):  
Older Adults ◽  
Postural Stability ◽  
Care Home ◽  
Cross Sectional Study ◽  
Body Sway ◽  
Centre Of Pressure ◽  
Cross Sectional ◽  
Physically Active ◽  
Surface Test ◽  
The University

This cross sectional study focused on how Postural Stability (PS) indicators: body sway deviation (BSD) and body sway velocity (BSV), change with age and their association with levels of social and physical activity. Observational study: 80 older adults (aged: 60–96) were purposefully recruited from two sources: the University of the Third Age (TAU) (n = 35) and a residential care home (CH) (n = 45). Differences in the indicators of PS, approximated through Centre of Pressure (COP) measurements, were assessed by the Romberg Stance Test (Test A) subsequently repeated on 10 cm foam surface (Test B), using a Kistler® Dynamometric Platform. The RCH Group was older, had higher BMI and was less socially and physically active, showed more body sway in all indicators compared to TAU group. For all participants body sway velocity (BSV) was significantly correlated with age. The strength of correlation of body sway deviation (BSD) with age was also significant but not as strong. The findings indicate in line with previous studies that deterioration in BSV is associated with poor PS more than deterioration in BSD.

SOCIAL ENGAGEMENT OF FRAIL ELDERS

2012 ◽  
pp. 1-6
Author(s):  
A. BARUSCH ◽  
D.L. WATERS
Keyword(s):  
Older Adults ◽  
Self Efficacy ◽  
Social Engagement ◽  
Functional Independence ◽  
Personal Attributes ◽  
Social Activities ◽  
Cross Sectional ◽  
Frail Older Adults ◽  
Home Based ◽  
Home Based Care

Background:Social isolation is a significant problem for frail older adults and the determinants ofsocial engagement are poorly understood. Objectives:This study explored the social engagement of frail eldersto identify personal attributes associated with social engagement. Design, Setting and Participants:A cross-sectional sample of seventy-three people receiving home-based care in one town on the South Island of NewZealand (mean age 82 (7.2) yrs, n=51 Females, 21 Males). Measurements:Face-to-face semi-structuredinterviews and questionnaires. Functional independence was measured using Nottingham Extended Activities ofDaily Living (EADL), self-efficacy by General Self Efficacy Scale, and 2 open-ended questions were piloted onsocial activities and helping others. Results:Regression models identified two statistically associatedcomponents of social engagement: social activities and civic involvement. Contributions to families andcommunity organizations and exercise were important social activities. Personal attributes included perceivedfunctional independence and self-efficacy. Conclusions:In frail older adults, a measurement of socialengagement should address activities older adults identify as important, including exercise. Independence, self -efficacy, and social engagement may interact in reinforcing cycles of empowerment and could play a role indeveloping interventions to retain and maintain function in frail older adults.

scholarly journals Religiosity and self-rated health among older adults in Colombia

2019 ◽  
pp. 67-76
Author(s):  
Carlos A Reyes Ortiz ◽  
Claudia Payan ◽  
Geraldine Altamar ◽  
Jose F Gomez Montes ◽  
Harold G Koenig
Keyword(s):  
Older Adults ◽  
Rural Areas ◽  
Community Dwelling ◽  
Cross Sectional Survey ◽  
Significant Interaction Effect ◽  
Cross Sectional ◽  
Self Rated Health ◽  
Urban And Rural Areas ◽  
Fair Poor ◽  
The Relationship

Objective: To identify the relationship between religiosity and self-rated health among older adults in Colombia. Methods: Data are drawn from the SABE (Salud, Bienestar y Envejecimiento) Colombia Study, a cross-sectional survey conducted in 2015 involving 18,871 community-dwelling adults aged 60 years and older living in urban and rural areas of Colombia. Religiosity was assessed by self-rated religiosity (how religious are you: not at all, somewhat or very). Self-rated health during previous 30 days was assessed as very good, good, fair, poor or very poor, analyzed as an ordinal variable(1-5) using weighted logistic regression, adjusting for confounders. Results: Those who were more religious were older, female, had lower socioeconomic status, and were more likely to be married. Multivariate analyses demonstrated that older adults who were more religious had better self-rated health (OR 0.92 95% CI 0.86- 0.99, p= 0.038); however, there was a significant interaction effect between gender and religiosity on self-rated health (p= 0.002), such that the relationship between religiosity and health was stronger in men (OR 0.86, 95% CI: 0.79-0.94, p= 0.001) but not significant in women. Conclusion: Older adults in Colombia who consider themselves more religious, especially men, are less likely to perceive their physical health as poor compared to those who are less religious.

scholarly journals Effects of Morning Versus Evening Home-Based Exercise on Subjective and Objective Sleep Parameters in Older Adults: A Randomized Controlled Trial

2020 ◽  
pp. 089198872092470
Author(s):  
Jaehoon Seol ◽  
Yuya Fujii ◽  
Taiki Inoue ◽  
Naruki Kitano ◽  
Kenji Tsunoda ◽  
...  
Keyword(s):  
Older Adults ◽  
Randomized Controlled Trial ◽  
Controlled Trial ◽  
Exercise Group ◽  
Healthy Older Adults ◽  
Low Intensity ◽  
Randomized Controlled ◽  
Home Based ◽  
Sleep Parameters ◽  
Objectively Measured

Objective: This study aimed to determine whether the timing of exercise influenced the effects of home-based low-intensity stepping exercises on the sleep parameters of older adults. Method: For 8 weeks, 60 healthy older adults participated in a randomized controlled trial, performing low-intensity aerobic exercise (70-80 bpm) for about 30 minutes every day at home, either in the morning (from waking until 12:00) or evening (18:00 to bedtime). Results: In the evening exercise group, both subjectively and objectively measured sleep latency significantly improved throughout the intervention. Further, postintervention subjective sleep satisfaction was significantly higher in the evening group (6.2 ± 1.3 points) than in the morning group (5.2 ± 1.4 points; P = .006). Additionally, sleep variables related to evening exercise had larger effect sizes (Cohen d) than those performed in the morning. Conclusion: Engaging in low-intensity stepping exercises during the evening is potentially a useful nonpharmacological approach to improving sleep quality among older adults.

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