scholarly journals Decrease in Mobility during the COVID-19 Pandemic and Its Association with Increase in Depression among Older Adults: A Longitudinal Remote Mobility Monitoring Using a Wearable Sensor

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3090
Author(s):  
Ramkinker Mishra ◽  
Catherine Park ◽  
Michele K. York ◽  
Mark E. Kunik ◽  
Shu-Fen Wung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Adverse Effect ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Community Dwelling ◽  
Depression Symptoms ◽  
Wearable Sensor ◽  
Physical Activity Monitoring ◽  
Community Dwelling Older Adults

Background: Social isolation during COVID-19 may negatively impact older adults’ wellbeing. To assess its impact, we measured changes in physical activity and sleep among community-dwelling older adults, from pre-to post-pandemic declaration. Method: Physical activity and sleep in older adults (n = 10, age = 77.3 ± 1.9 years, female = 40%) were remotely assessed within 3-month pre-to 6-month post-pandemic declaration using a pendant-wearable system. Depression was assessed pre-and post-pandemic declaration using the Center for Epidemiologic Studies Depression scale and was compared with 48 h continuous physical activity monitoring data before and during pandemic. Results: Compared to pre-pandemic, post-pandemic time spent in standing declined by 32.7% (Cohen’s d = 0.78, p < 0.01), walking by 52.2% (d = 1.1, p < 0.01), step-counts by 55.1% (d = 1.0, p = 0.016), and postural transitions by 44.6% (d = 0.82, p = 0.017) with increase in sitting duration by 20.5% (d = 0.5, p = 0.049). Depression symptoms increased by 150% (d = 0.8, p = 0.046). Interestingly, increase in depression was significantly correlated with unbroken-prolong sitting bout (ρ = 0.677, p = 0.032), cadence (ρ = −0.70, p = 0.024), and sleep duration (ρ = −0.72, p = 0.019). Conclusion: This is one of the early longitudinal studies highlighting adverse effect of the pandemic on objectively assessed physical activity and sleep in older adults. Our observations showed need for timely intervention to mitigate hard to reverse consequences of decreased physical activity such as depression.

scholarly journals Wearable Based Calibration of Contactless In-home Motion Sensors for Physical Activity Monitoring in Community-Dwelling Older Adults

2021 ◽  
Vol 2 ◽  
Author(s):  
Narayan Schütz ◽  
Hugo Saner ◽  
Angela Botros ◽  
Philipp Buluschek ◽  
Prabitha Urwyler ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Health Indicators ◽  
Community Dwelling ◽  
Motion Sensors ◽  
Ground Truth Data ◽  
Physical Activity Monitoring ◽  
Community Dwelling Older Adults ◽  
Activity Quantification ◽  
Passive Infrared

Passive infrared motion sensors are commonly used in telemonitoring applications to monitor older community-dwelling adults at risk. One possible use case is quantification of in-home physical activity, a key factor and potential digital biomarker for healthy and independent aging. A major disadvantage of passive infrared sensors is their lack of performance and comparability in physical activity quantification. In this work, we calibrate passive infrared motion sensors for in-home physical activity quantification with simultaneously acquired data from wearable accelerometers and use the data to find a suitable correlation between in-home and out-of-home physical activity. We use data from 20 community-dwelling older adults that were simultaneously provided with wireless passive infrared motion sensors in their homes, and a wearable accelerometer for at least 60 days. We applied multiple calibration algorithms and evaluated results based on several statistical and clinical metrics. We found that using even relatively small amounts of wearable based ground-truth data over 7–14 days, passive infrared based wireless sensor systems can be calibrated to give largely better estimates of older adults' daily physical activity. This increase in performance translates directly to stronger correlations of measured physical activity levels with a variety of age relevant health indicators and outcomes known to be associated with physical activity.

Depressive symptoms are independently associated with recurrent falls in community-dwelling older adults

2014 ◽  
Vol 26 (9) ◽  
pp. 1511-1519 ◽  
Author(s):  
Sébastien Grenier ◽  
Marie-Christine Payette ◽  
Francis Langlois ◽  
Thien Tuong Minh Vu ◽  
Louis Bherer
Keyword(s):  
Older Adults ◽  
Depressive Symptoms ◽  
Geriatric Depression Scale ◽  
Antidepressant Drugs ◽  
Depression Scale ◽  
Community Dwelling ◽  
Depression Symptoms ◽  
Recurrent Falls ◽  
Physical Capacities ◽  
Community Dwelling Older Adults

ABSTRACTBackground:Falls and depression are two major public health problems that affect millions of older people each year. Several factors associated with falls are also related to depressive symptoms such as medical conditions, sleep quality, use of medications, cognitive functioning, and physical capacities. To date, studies that investigated the association between falls and depressive symptoms did not control for all these shared factors. The current study addresses this issue by examining the relationship between falls and depression symptoms after controlling for several confounders.Methods:Eighty-two community-dwelling older adults were enrolled in this study. The Geriatric Depression Scale (GDS-30) was used to evaluate the presence of depressive symptoms, and the following question was used to assess falls: “Did you fall in the last 12 months, and if so, how many times?”Results:Univariate analyses indicated that the number of falls was significantly correlated with gender (women), fractures, asthma, physical inactivity, presence of depressive symptoms, complaints about quality of sleep, use of antidepressant drugs, and low functional capacities. Multivariate analyses revealed that depressive symptoms were significantly and independently linked to recurrent falls after controlling for confounders.Conclusions:Results of the present study highlight the importance of assessing depressive symptoms during a fall risk assessment.

scholarly journals Patterns of Physical Activity and Their Relationship With Depression Among Community-Dwelling Older Adults in Shanghai, China: A Latent Class Approach

2020 ◽  
Author(s):  
Yan Liang ◽  
Xinghui Li ◽  
Tingting Yang ◽  
Mengying Li ◽  
Ye Ruan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Relative Risk ◽  
Latent Class ◽  
Depression Scale ◽  
Community Dwelling ◽  
Survey Study ◽  
Latent Classes ◽  
Cross Sectional Survey ◽  
Community Dwelling Older Adults

Abstract Background: Few studies have explored patterns of physical activity (PA) and examined their relationship with depression among community-dwelling older adults. An understanding of PA patterns in this population may have implications for the development of community interventions, both to support beneficial patterns of PA and to target specific latent classes of 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 2,525 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.Results: Four latent classes were identified: “domestic types,” “athletic types,” “gardening/caring types,” and “walkers.” PASE scores and latent class predicted depression independently. Older adults who were the most active (PASE quartile: 75–100%) and the athletic types had the strongest significant association with depression (relative risk = 0.21, 95% CI: 0.06–0.68), followed by those who were the most active (PASE quartile: 75–100%) and the walkers (relative risk = 0.28, 95% CI: 0.14–0.57) when compared with older adults with the least activity (PASE quartile: 0–25%) and domestic types. Older adults who were the most active (PASE quartile: 75–100%) and the gardening/caring types were most likely to be depressed (relative risk = 1.66, 95% CI: 1.03–2.69).Conclusion: This study suggests an overall protective effect of physical activity on depression among community-dwelling older adults. Population-level intervention should combine being athletic with other patterns of physical activity. To develop individual-level tailored interventions, more attention should be paid to older adults who are highly engaged in caring for others.

scholarly journals Is There an Association Between Self-Reported Physical Activity and Self-Rated Vision Over Time? Results From the Irish Longitudinal Study of Ageing

2020 ◽  
Vol 28 (5) ◽  
pp. 774-781
Author(s):  
Ilona I. McMullan ◽  
Brendan P. Bunting ◽  
Lee Smith ◽  
Ai Koyanagi ◽  
Mark A. Tully
Keyword(s):  
Physical Activity ◽  
Longitudinal Study ◽  
Depression Scale ◽  
Epidemiologic Studies ◽  
Community Dwelling ◽  
Eye Disease ◽  
Diabetic Eye Disease ◽  
Employment Education ◽  
Community Dwelling Older Adults ◽  
Over Time

Research suggests that physical activity (PA) has many health benefits for an aging population. Evidence exploring the association between PA and vision is limited. This study includes the measures of self-reported PA (International Physical Activity Questionnaire) and self-rated vision at three points in time over a 6-year period used in the Irish Longitudinal study of Ageing, a cohort of community-dwelling older adults (50 years or older). A path analysis found that PA was indirectly associated with vision over 6 years controlling for age, sex, marital status, employment, education, depression (Centre for Epidemiologic Studies Depression Scale), self-reported general health, cardiovascular disease (e.g., heart attack), high blood pressure, diabetes, eye disease (e.g., glaucoma, diabetic eye disease, macular degeneration, cataract), and disabilities associated with activities of daily living. Further research is needed to fully understand the relationship over time and generalize the findings.

scholarly journals The Association between Leisure and Physical Activity Level with Depressive Symptoms after 5-years of follow-up

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 788-788
Author(s):  
Milan Chang ◽  
Hrafnhildur Eymundsdottir ◽  
Alfons Ramel ◽  
Sigurveig Sigurdardottir ◽  
Vilmundur Gudnasson ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Depressive Symptoms ◽  
Geriatric Depression Scale ◽  
Depression Scale ◽  
Leisure Activity ◽  
Community Dwelling ◽  
Activity Level ◽  
Community Dwelling Older Adults

Abstract Background Depressive symptoms in older adults are associated with socioeconomic status (SES), medical care, and physical activity. However, there is little evidence on the longitudinal association between level of leisure activity (LA) and physical activity (PA) with depressive symptoms among community-dwelling older adults in Iceland. The study examined an association of LA and PA at baseline with high depressive symptoms (HGDS) assessed after 5 years of follow-up among community-dwelling older adults. Methods A large community-based population residing in Reykjavik, Iceland participated in a longitudinal study with 5 years of follow-up (n=2957, 58% women, 74.9±4.8 yrs). Those with HGDS or dementia at baseline were excluded from the analysis. The reported activity was categorized into 2 groups as no-activity versus any-activity. Depressive symptoms were assessed by the 15-item Geriatric Depression Scale (GDS) on average 5 years later. Results After adjusting for demographic and health-related risk factors, those who reported having any LA had significantly fewer HGDS after the follow-up of 5 years (6 or higher GDS scores, Odds Ratio (OR) = 0.46, 95% Confidence Interval (CI): 0.27 ~ 0.76, P = 0.003). However, reporting any PA at baseline was not significantly associated with HGDS (OR = 0.71, 95% CI: 0.51 ~ 1.00, P = 0.053). Conclusion Our study shows that any LA among older adults is associated with having less depressive symptoms 5 years later among community-dwelling older adults while having any PA was not associated with depressive symptoms after 5 years of follow-up.

scholarly journals Patterns of physical activity and their relationship with depression among community-dwelling older adults in Shanghai, China: a latent class approach

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yan Liang ◽  
Xinghui Li ◽  
Tingting Yang ◽  
Mengying Li ◽  
Ye Ruan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Latent Class ◽  
Depression Scale ◽  
Population Level ◽  
Community Dwelling ◽  
Survey Study ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Community Dwelling Older Adults

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.

scholarly journals Sarcopenia and Its Relationships with Depression, Cognition, and Physical Activity in Thai Community-Dwelling Older Adults

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Kornanong Yuenyongchaiwat ◽  
Rumpa Boonsinsukh
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Logistic Regression ◽  
Odds Ratio ◽  
Mental Health Problems ◽  
Depression Scale ◽  
Community Dwelling ◽  
Cross Sectional ◽  
Age Related ◽  
Community Dwelling Older Adults

Background. Age-related sarcopenia is associated with physical decline, including poor functional capacity, lack of physical activity, problems with activities of daily living, and disability. However, little is known about the association between mental health problems and cognitive function in older adults with sarcopenia. Therefore, this study explored community-dwelling older adults’ sarcopenia prevalence and related associations with depression, cognitive performance, and physical activity. Methods. This cross-sectional study included 330 community-dwelling older adults (66.85 ± 5.54 years, 76.06% female). Based on the Asian Working Group for Sarcopenia guidelines, gait speed, muscle mass, and handgrip were assessed. All participants responded to a set of questionnaires (e.g., Global Physical Activity Questionnaire, cognitive assessment, and depression scale). Logistic regression analysis and multivariate logistic regression were used to determine independent predictors for sarcopenia. Results. Overall, 16.1% of the participants were identified as having sarcopenia. Further, advanced age (i.e., mean age ≥ 70 years; odds ratio: 4.67), high depression scores (odds ratio: 2.09), mild cognitive impairment (odds ratio: 0.22), and low physical activity levels (odds ratio: 1.96) were significant associated risk factors for sarcopenia after adjusting for age, sex, and educational level. Conclusions. Sarcopenia can lead to adverse health outcomes (i.e., depressive symptoms, cognitive decline, and low physical activity) in older adults.

scholarly journals COVID-19 lockdown has altered the dynamics between affective symptoms and social isolation among older adults: results from a longitudinal network analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Junhong Yu ◽  
Rathi Mahendran
Keyword(s):  
Older Adults ◽  
Social Isolation ◽  
Anxiety Symptoms ◽  
Community Dwelling ◽  
Depression Symptoms ◽  
Network Analyses ◽  
Correlation Networks ◽  
Affective Symptoms ◽  
Tightly Coupled ◽  
Community Dwelling Older Adults

AbstractThe COVID-19 lockdown has drastically limited social interactions and brought about a climate of fear and uncertainty. These circumstances not only increased affective symptoms and social isolation among community dwelling older adults but also alter the dynamics between them. Using network analyses, we study the changes in these dynamics before and during the lockdown. Community-dwelling older adults (N = 419) completed questionnaires assessing depression, anxiety, and social isolation, before the COVID-19 pandemic, as part of a cohort study, and during the lockdown period. The total scores of these questionnaires were compared across time. For the network analyses, partial correlation networks were constructed using items in the questionnaires as nodes, separately at both timepoints. Changes in edges, as well as nodal and bridge centrality were examined across time. Depression and anxiety symptoms, and social isolation had significantly increased during the lockdown. Significant changes were observed across time on several edges. Greater connectivity between the affective and social isolation nodes at lockdown was observed. Depression symptoms have become more tightly coupled across individuals, and so were the anxiety symptoms. Depression symptoms have also become slightly decoupled from those of anxiety. These changing network dynamics reflect the greater influence of social isolation on affective symptoms across individuals and an increased vulnerability to affective disorders. These findings provide novel perspectives and translational implications on the changing mental health context amidst a COVID-19 pandemic situation.

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