Physical Activity and its Influencing Factors in Community-Dwelling Older Adults With Dementia: A Path Analysis

2021 ◽  
pp. 105477382110339
Author(s):  
Bei Li ◽  
Xiuxiu Huang ◽  
Chenchen Meng ◽  
Qiaoqin Wan ◽  
Yongan Sun

Dementia is prevalent in worldwide, and increases the care burden and potential costs. Physical activity (PA) has been increasingly shown to be beneficial for them. This was a cross-sectional observational study aiming to investigate the status of PA among community-dwelling older adults with dementia in Beijing or Hangzhou, China, and verify the relationships between neuropsychiatric symptoms, activities of daily living (ADL), caregivers’ fear of patients’ falling and their PA using a path analysis approach. The level of PA among 216 included people with dementia was low. PA was related to the neuropsychiatric symptoms, with ADL and caregivers’ fear of patients’ falling have mediation roles. The findings indicated that person-centered strategies related to the management of these symptoms might be helpful to improve ADL, relieve caregivers’ concerns about them falling and consequently foster positive participation in PA.

2020 ◽  
Vol 10 (2) ◽  
pp. 135-141
Author(s):  
Seyed Alireza Derakhshanrad ◽  
Emily Piven ◽  
Bahareh Zeynalzadeh Ghoochani

Background: On the basis of the Social-Ecological Model, there are assumed to be three sources of motivation – intrapersonal, interpersonal, and community motivation – that prompt older adults to participate in physical activity (PA). These three motivational sources can lead to PA behavior adherence. Little empirical research exists that investigates which motivational source is more influential in older adults’ adherence to PA, thus creating an area of interest for this research. Methods: A cross-sectional study was used to investigate the relationship between levels of PA and different sources of motivation. The convenience sample of 140 community-dwelling older adults, aged 60 and greater, living in Shiraz, Iran agreed to complete self-reported questionnaires,to measure motivation and PA. Five statistical tests were used: Independent-samples t test, one way ANOVA, Pearson correlation coefficient, chi-square, and ordinal regression. Results: Ordinal regression indicated that gender (P = 0.001, CI: 0.523-2.115) and intrapersonal motivation (P < 0.001, CI: 0.038-0.126) were useful predictors of variations in the levels of PA. Compared to males, females engaged in PA with less frequency (P = 0.006). Community motivation decreased with age (r = - 0.213, P < 0.05). There were no significant relationships between age, educational level, health status, and PA (P > 0.05). Conclusion: Interpersonal and community motivation were insignificant factors for PA participation, perhaps due to non-facilitating environment. Future research should be conducted to investigate the environmental issues that hinder PA participation in older adults.


2019 ◽  
Vol 27 (5) ◽  
pp. 688-695
Author(s):  
A. Stefanie Mikolaizak ◽  
Jochen Klenk ◽  
Dietrich Rothenbacher ◽  
Michael D. Denkinger ◽  
Kilian Rapp ◽  
...  

Time spent out-of-home can increase physical activity (PA) levels. However, the association between the purpose for leaving home and the mode of transport on time out-of-home and PA are not straightforward. In a large sample of community-dwelling older adults (≥65 years), daily walking duration was measured prospectively over 1 week using body-fixed sensors and time-out-of-home questionnaires. Data from 1,277 participants yielded 6,500 full days for analysis. The following statistically significant associations were seen: public transport use increased the time spent out-of-home by 88 min and daily walking duration by 16 min. Social contacts or the use of a car increased the time out-of-home, but decreased PA. Shopping or “going by foot” decreased the time spent out-of-home by 19 and 62 min, respectively, while both increased the daily walking duration by 5 min. The association between time out-of-home and PA (daily walking duration) is strongly dependent on the activity and mode of transport.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Claire Gough ◽  
Lucy K. Lewis ◽  
Christopher Barr ◽  
Anthony Maeder ◽  
Stacey George

Abstract Background With the advancing age of the population, and increasing demands on healthcare services, community participation has become an important consideration for healthy ageing. Low levels of community participation have been linked to increased mortality and social isolation. The extent to which community participation has been measured objectively in older adults remains scarce. This study aims to describe where and how older adults participate in the community and determine the feasibility of measurement methods for community participation. Methods This observational cross-sectional study obtained data from 46 community dwelling older adults. A combination of Global Positioning Systems (GPS), accelerometry, and self-reported diaries were used over a 7-day monitoring period. Feasibility of methods were determined by calculating the loss of GPS data, questionnaires, and comparison of self-reported locations with GPS co-ordinates. Relationships between community participation, physical activity, social interactions, health related quality of life, sleep quality and loneliness were explored. Results Older adults took a median (IQR) of 15 (9.25–18.75) trips out of home over the 7-day monitoring period, most frequently visiting commercial and recreational locations. In-home activities were mainly sedentary in nature, with out of home activities dependent on location type. Self-reported and GPS measures of trips out of home and the locations visited were significantly correlated (self-report 15.7 (5.6) GPS 14.4 (5.8) (r = 0.94)). Significant correlations between both the number of trips taken from home, with social interactions (r = 0.62) and the minutes of moderate to vigorous physical activity (MVPA) (r = 0.43) were observed. Daily MVPA was higher in participants who visited local walk/greenspaces (r = 0.48). Conclusion Participants performed more activities with social interactions out of home and visited commercial locations most frequently. The combination of GPS, accelerometry and self-report methods provided a detailed picture of community participation for older adults. Further research is required with older adults of varying health status to generalise the relationships between community participation, location and physical activity. Trial registration Ethical approval was gained from the Flinders University Social and Behavioural Research Ethics Committee (protocol no. 8176).


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Liang ◽  
Xinghui Li ◽  
Tingting Yang ◽  
Mengying Li ◽  
Ye Ruan ◽  
...  

Abstract Background Few studies have explored patterns of physical activity (PA) and examined their relationship with depression among community-dwelling older adults. We aimed to identify the patterns of PA through a person-centered analytical approach and examine the association between quantity and patterns of PA, and depression among community-dwelling older adults. Methods We conducted a cross-sectional survey study in the Minhang district, Shanghai, China, in August 2019, and used a self-administered questionnaire to collect data through home visits. The total sample included 2525 older adults. This study used the Physical Activity Scale for the Elderly (PASE) to assess the quantity of PA in older adults. Depression was evaluated with the Geriatric Depression Scale (GDS). Latent class analysis (LCA) was used to identify subpopulations by shared item response patterns. Logistic regressions were performed to estimate the relationship between PASE score, patterns of PA, and depression. An exploratory analysis of joint levels and patterns of PA effects on depression was based on sample subgroups with combinations of levels and patterns of PA. Logistic regression was used to calculate the odds ratio for combined subgroups. Results Four latent classes were identified: “domestic types,” “athletic types,” “gardening/caring types,” and “walkers.” PASE scores and patterns of PA both were associated with depression. Older adults who were the most active (PASE quartile: 75–100%) and the athletic types had the strongest significant association with depression (OR = 0.19, 95% CI: 0.06–0.65), followed by those who were the most active (PASE quartile: 75–100%) and the walkers (OR = 0.28, 95% CI: 0.14–0.57) when compared with older adults with the least activity (PASE quartile: 0–25%) and domestic types. Conclusion This study suggests both the quantity and patterns of physical activity are associated with depressive symptoms among community-dwelling older adults. Population-level intervention should encourage community-dwelling older adults to increase their quantity of PA to reduce the risk of depression. Athletics and walkers are recommended. To develop individual-level tailored interventions, more attention should be paid to older adults who are highly engaged in gardening/caring for others.


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