Physical activity of elderly people, mental health and quality of life

Author(s):  
Young-Ju Jee ◽  
Kyoung-Nam Kim
2018 ◽  
Vol 22 (6) ◽  
pp. e13242 ◽  
Author(s):  
Hjørdis Thorsteinsdottir ◽  
Trond H. Diseth ◽  
Anine Lie ◽  
Trine Tangeraas ◽  
Iren Matthews ◽  
...  

2019 ◽  
Vol 54 (20) ◽  
pp. 1188-1194 ◽  
Author(s):  
Juliana S Oliveira ◽  
Cathie Sherrington ◽  
Elizabeth R Y Zheng ◽  
Marcia Rodrigues Franco ◽  
Anne Tiedemann

BackgroundOlder people are at high risk of physical inactivity. Activity trackers can facilitate physical activity. We aimed to investigate the effect of interventions using activity trackers on physical activity, mobility, quality of life and mental health among people aged 60+ years.MethodsFor this systematic review, we searched eight databases, including MEDLINE, Embase and CENTRAL from inception to April 2018. Randomised controlled trials of interventions that used activity trackers to promote physical activity among people aged 60+ years were included in the analyses. The study protocol was registered with PROSPERO, number CRD42017065250.ResultsWe identified 23 eligible trials. Interventions using activity trackers had a moderate effect on physical activity (23 studies; standardised mean difference (SMD)=0.55; 95% CI 0.40 to 0.70; I2=86%) and increased steps/day by 1558 (95% CI 1099 to 2018 steps/day; I2=92%) compared with usual care, no intervention and wait-list control. Longer duration activity tracker-based interventions were more effective than short duration interventions (18 studies, SMD=0.70; 95% CI 0.47 to 0.93 vs 5 studies, SMD=0.14; 95% CI −0.26 to 0.54, p for comparison=0.02). Interventions that used activity trackers improved mobility (three studies; SMD=0.61; 95% CI 0.31 to 0.90; I2=10%), but not quality of life (nine studies; SMD=0.09; 95% CI −0.07 to 0.25; I2=45%). Only one trial included mental health outcomes and it reported similar effects of the activity tracker intervention compared with control.ConclusionsInterventions using activity trackers improve physical activity levels and mobility among older people compared with control. However, the impact of activity tracker interventions on quality of life, and mental health is unknown.


2015 ◽  
Vol 33 (28_suppl) ◽  
pp. 91-91 ◽  
Author(s):  
Corinne Jordan ◽  
Alicia Klepsa

91 Background: Physical inactivity has direct effects on risk of chronic diseases, mental health, quality of life, and early mortality. Women that engage in physical activity after a breast cancer diagnosis may reduce the risk of recurrence and death from this disease. This study examines postmenopausal women with clinical stage I or II breast cancer using the Patient Reported Outcome Measurement Information System (PROMIS) 10 – Global Health Survey, Fitbit Flex, and regular Wellness Coaching. Methods: Our prospective study follows clinical stage I/II, postmenopausal, ER+, Her2- women with BMI > or = to 25 beginning at their surgical consultation. Visits occur again post-operatively, six months after consultation, and again at one year. Each patient was given a Fitbit Flex with the expectation to complete 7,000 steps daily, and weekly Wellness Coaching. At each visit, a record of their activity was recorded including steps, heartrate, blood pressure, and body mass index. Quality of life was also assessed using PROMIS 10 - Global Health Survey. Results: 19 patients have enrolled. 100% of patients on study had BMI stay the same or decrease from initial consult to postop visit. 66% gained weight from initial postop visit to 6 months. 47% of patients met the daily goal of 7,000 steps. 80% showed significant increase in mental health scores and 60% increased physical health scores by PROMIS 10. Conclusions: Encouraging regular physical activity during treatment and survivorship for breast cancer can improve mental health and physical well-being during breast cancer treatment. Regular wellness coaching can support patients to reach their physical and mental health goals during treatment and survivorship.


2017 ◽  
Vol 13 (1) ◽  
pp. 82-91 ◽  
Author(s):  
Sandro Legey ◽  
Filipe Aquino ◽  
Murilo Khede Lamego ◽  
Flavia Paes ◽  
Antônio Egídio Nardi ◽  
...  

Background:Physical activity level (PAL) is known to play an important role in reducing risk factors associated with sedentarism, in addition to improving the mental health and health-related quality of life (HRQL).Objective:Investigate the relationship of PAL and their domains with HRQL, mood state (MS) and anxiety.Method: 140 Physical Education students (23.6 ± 3.7 years) were evaluated. The Baecke Habitual Physical Activity and Quality of Life (QOL-36) questionnaires, State-Trait Anxiety Inventories (STAI-S and STAI-T) and Profile of Mood States (POMS) scale were used to investigate PAL, HRQL and mental health indicators. Pearson’s correlation coefficient examined the association between PAL and both mental health and HRQL parameters.Results:There was a correlation between state anxiety and both the domain leisure-time physical activity (LTPA) (p = 0.013) and total PAL score (p = 0.010). In relation to MS, a negative correlation was found between LTPA and total mood disorder (TMD) (p = 0.004). However, there were positive correlations between the vigor subscale and both LTPA (p=0.001) and total PAL (p=0.019). With respect to HRQL, analysis of the relationship between LTPA and total PAL demonstrated positive coefficients with the physical component summary (PCS) (p=0.000; p = 0.005), mental component summary (MCS) (p = 0.000; p = 0.006) and total HRQL (p = 0.000; p = 0.003).Conclusion:The findings suggest that the rise in LTPA was related to an increase in HRQL and MS. However, PAL was positively related to anxiety.


2020 ◽  
Author(s):  
Grace McKeon ◽  
Zachary Steel ◽  
Ruth Wells ◽  
Jill Newby ◽  
Dusan Hadzi-Pavlovic ◽  
...  

UNSTRUCTURED First-responders (e.g. police, firefighters, paramedics) are at high risk of experiencing poor mental health. Physical activity interventions can help reduce symptoms and improve mental health in this group. More research is however needed to evaluate accessible, low cost ways of delivering programs. Social media may be a potential platform for delivering group-based physical activity interventions. We co-designed a 10-week online physical activity program delivered via a private Facebook group. We provided education and motivation around different weekly topics (e.g. goal setting and reducing sedentary behaviour) and provided participants with a Fitbit. We aimed to examine the feasibility and acceptability of the program for first-responders and a nominated informal caregiver to participate with them. We also explored the impact on mental health symptoms, sleep quality, quality of life and physical activity levels. A multiple time series design was applied to assess levels of psychological distress, with participants acting as their own control prior to the intervention. Twenty-four participants (n=12 first responders and n=12 nominated support partners) were recruited and 88% (n=21) completed the post assessment questionnaires. High acceptability was observed in the qualitative interviews. Exploratory analyses found significant reductions in psychological distress across the intervention. Pre and post analysis showed significant improvements in quality of life (Cohen’s d=0.603), total depression, anxiety and stress scores (d=0.354) and minutes of walking (d=0.549). Changes in perceived social support to exercise and sleep quality were not significant. The results provide preliminary support for the use of social media and a multiple-time series design to deliver mental health informed physical activity interventions for first-responders and their informal caregivers.


Author(s):  
Timothy A. McGuine ◽  
Kevin M. Biese ◽  
Labina Petrovska ◽  
Scott J. Hetzel ◽  
Claudia Reardon ◽  
...  

Context In the spring of 2020, US schools closed to in-person teaching and sports were cancelled to control the transmission of coronavirus disease 2019 (COVID-19). It is critical to understand the mental and physical health of adolescent athletes during this time. Objective To describe the health of athletes during COVID-19–related school closures and sport cancellations. Design Cross-sectional study. Setting A national sample recruited via social media. Patients or Other Participants A total of 13 002 US adolescent athletes (age = 16.3 ± 1.2 years, females = 52.9%, males = 47.0%) completed an anonymous online survey. Main Outcome Measure(s) Demographic information collected was sex, grade, sport(s) played, and zip code. Assessments used were the General Anxiety Disorder 7-Item for anxiety, Patient Health Questionnaire 9-Item for depression, the Pediatric Functional Activity Brief Scale for physical activity, and the Pediatric Quality of Life Inventory 4.0 for quality of life. Mental health, physical activity, and health-related quality-of-life variables were compared among sex, grade, sport(s) played, and poverty level using means and 95% confidence intervals (CIs) from the survey-weighted analysis of variance. Results Females reported a higher prevalence of moderate to severe anxiety symptoms (females = 43.7% versus males = 28.2%). The Pediatric Functional Activity Brief Scale score was highest (best) for grade 9 (mean = 14.5, 95% CI = 14.0, 15.0) and lowest for grade 11 (mean = 10.9, 95% CI = 10.5, 11.3. The prevalence of depression symptoms was highest in team sport (74.1%) and lowest in individual sport (64.9%) participants. The total Pediatric Quality of Life Inventory score was lowest (worst) for athletes from counties with the highest poverty levels (high: mean = 74.5, 95% CI = 73.7, 75.3; middle: mean = 78.9, 95% CI = 78.0, 79.8; and low: mean = 78.3, 95% CI = 77.4, 79.1). Conclusions The health of US adolescents during the COVID-19–related school closures and sport cancellations varied to differing degrees depending on sex, grade level, type of sport participation, and level of poverty. Health policy experts should consider these findings in the future when creating and implementing policies to improve the health of adolescents in the United States.


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