1.Are Middle-Aged and Older Adult Users of Physical Activity Monitoring Systems More Physically Active and at a Lower Risk of Locomotive Syndrome? A Cross-Sectional Web-Based Online Survey
Hyuma MAKIZAKO ; Shoma AKAIDA ; Daijo SHIRATSUCHI ; Mana TATEISHI
Annals of Geriatric Medicine and Research 2024;28(3):323-329
Background:
Physical inactivity is a risk factor for locomotive syndromes and functional limitations in middle-aged and older adults. Therefore, strategies to promote physical activity should be considered. This study investigated whether users of physical activity monitors were more physically active and exhibited a lower risk of locomotive syndrome, compared with non-users.
Methods:
We analyzed data from 742 Japanese adults aged 60–79 years. The participants were surveyed for their use of physical activity monitors in their daily lives. We also assessed the prevalence of locomotive syndrome.
Results:
We observed significantly higher physical activity levels in users compared with non-users. Moreover, the use of a physical activity monitor was significantly associated with decreased odds of locomotive syndrome (adjusted odds ratio [aOR]=0.48). Significantly lower risk of locomotive syndrome were observed in individuals who had used a monitor for >2 years (aOR=0.42) or had set a personal step goal (aOR=0.32).
Conclusion
Physical activity monitoring may increase engagement in physical activity-associated behavior. Therefore, monitoring could serve as a useful tool to promote physical health in middle-aged and older adults.
2.Associations between Driving Status, Frequency of Transport use after Driving Cessation, and Social Frailty among Middle-Aged and Older Adults
Tatsuya FUKUEI ; Shoma AKAIDA ; Yoshiaki TANIGUCHI ; Daijo SHIRATSUCHI ; Yuto KIUCHI ; Mana TATEISHI ; Yukari AISHITA ; Ryota KURATSU ; Hyuma MAKIZAKO
Annals of Geriatric Medicine and Research 2024;28(4):437-444
Background:
The use of transport other than cars is a modifiable factor in the association between driving cessation and social frailty. Clarifying this relationship may serve as a new preventive measure against social frailty among current non-drivers. This study examined the potential association of driving status and transport use with social frailty, as well as between the frequency of transport use and social frailty, among current non-drivers.
Methods:
This study included 977 middle-aged and older adults (average age, 65.3±4.8 years). The participants were classified as transport users (more than a few times a week) and transport non-users (less than a few times a month). Based on driving status and transport use, the groups were further classified into current driver, current non-driver/transport user, and current non-driver/transport non-user groups. The relationships between driving status, transport use, and social frailty were examined using multiple logistic regression.
Results:
The current non-driver group and the transport non-user group were significant association with a higher social frailty. The current non-driver/transport user group showed no association with social frailty compared with the current driver group. The odds ratio for the social frailty rate for The current non-driver/transport non-user group was 2.14 (95% confidence interval, 1.25–3.73).
Conclusions
Participants who neither drive nor take transport showed significant associations with increased social frailty. Compared with current driver/transport use, current non-driver/transport non-use was associated with social frailty.
3.Associations between Driving Status, Frequency of Transport use after Driving Cessation, and Social Frailty among Middle-Aged and Older Adults
Tatsuya FUKUEI ; Shoma AKAIDA ; Yoshiaki TANIGUCHI ; Daijo SHIRATSUCHI ; Yuto KIUCHI ; Mana TATEISHI ; Yukari AISHITA ; Ryota KURATSU ; Hyuma MAKIZAKO
Annals of Geriatric Medicine and Research 2024;28(4):437-444
Background:
The use of transport other than cars is a modifiable factor in the association between driving cessation and social frailty. Clarifying this relationship may serve as a new preventive measure against social frailty among current non-drivers. This study examined the potential association of driving status and transport use with social frailty, as well as between the frequency of transport use and social frailty, among current non-drivers.
Methods:
This study included 977 middle-aged and older adults (average age, 65.3±4.8 years). The participants were classified as transport users (more than a few times a week) and transport non-users (less than a few times a month). Based on driving status and transport use, the groups were further classified into current driver, current non-driver/transport user, and current non-driver/transport non-user groups. The relationships between driving status, transport use, and social frailty were examined using multiple logistic regression.
Results:
The current non-driver group and the transport non-user group were significant association with a higher social frailty. The current non-driver/transport user group showed no association with social frailty compared with the current driver group. The odds ratio for the social frailty rate for The current non-driver/transport non-user group was 2.14 (95% confidence interval, 1.25–3.73).
Conclusions
Participants who neither drive nor take transport showed significant associations with increased social frailty. Compared with current driver/transport use, current non-driver/transport non-use was associated with social frailty.
4.Associations between Driving Status, Frequency of Transport use after Driving Cessation, and Social Frailty among Middle-Aged and Older Adults
Tatsuya FUKUEI ; Shoma AKAIDA ; Yoshiaki TANIGUCHI ; Daijo SHIRATSUCHI ; Yuto KIUCHI ; Mana TATEISHI ; Yukari AISHITA ; Ryota KURATSU ; Hyuma MAKIZAKO
Annals of Geriatric Medicine and Research 2024;28(4):437-444
Background:
The use of transport other than cars is a modifiable factor in the association between driving cessation and social frailty. Clarifying this relationship may serve as a new preventive measure against social frailty among current non-drivers. This study examined the potential association of driving status and transport use with social frailty, as well as between the frequency of transport use and social frailty, among current non-drivers.
Methods:
This study included 977 middle-aged and older adults (average age, 65.3±4.8 years). The participants were classified as transport users (more than a few times a week) and transport non-users (less than a few times a month). Based on driving status and transport use, the groups were further classified into current driver, current non-driver/transport user, and current non-driver/transport non-user groups. The relationships between driving status, transport use, and social frailty were examined using multiple logistic regression.
Results:
The current non-driver group and the transport non-user group were significant association with a higher social frailty. The current non-driver/transport user group showed no association with social frailty compared with the current driver group. The odds ratio for the social frailty rate for The current non-driver/transport non-user group was 2.14 (95% confidence interval, 1.25–3.73).
Conclusions
Participants who neither drive nor take transport showed significant associations with increased social frailty. Compared with current driver/transport use, current non-driver/transport non-use was associated with social frailty.