The Effects of Displacing Sedentary Behavior With Two Distinct Patterns of Light Activity on Health Outcomes in Older Adults (Implications for COVID-19 Quarantine)

Increased physical activity promotes skin clearance, improves cardiovascular and psychological health, and increases functional capacity in patients with psoriasis

Background

Patients with psoriasis are less physically active compared to age-matched controls, due to psoriasis-specific barriers, which significantly limits their ability to benefit from health-promoting levels of physical activity (PA). In addition, long-term health outcomes for people with psoriasis are poor and include depression, metabolic syndrome and cardiovascular disease (CVD); presenting a significant challenge to healthcare services.

Objectives

We designed a PA intervention in partnership with patients with psoriasis hypothesising this may have therapeutic utility in the management of psoriasis.

Methods

Participants with chronic plaque psoriasis were recruited to a single-centre, 20-week, prospective cohort study. A wrist-worn accelerometer (GENEActiv Original; Activinsights Ltd) and a hip-worn pedometer (Onwalk 900; Decathlon Group) were used objectively measure levels of PA. Our 10-week PA intervention comprised twice weekly 60-min walks within three different greenspaces in Greater Manchester, each led by a Sports and Exercise Scientist to deliver a pre-specified volume/dose of activity. During weeks-11-20 of the study, participants followed independent activities. Clinical evaluation, including assessment of psoriasis severity, cardiometabolic parameters, psychological wellbeing and functional capacity was made at baseline, week-10 and -20.

Results

Sixteen patients with psoriasis completed the study. We observed significantly reduced Psoriasis Area and Severity Index at week-10 (p = 0.01) and -20 (p = 0.001) compared to baseline, with 50% of participants achieving PASI-50 at week-20. Dermatology Life Quality Index (DLQI) was significantly reduced at week-20 (p = 0.04), compared to baseline. Significant reduction in blood pressure at week-10 (systolic: -7.4 mmHg, p = 0.002; diastolic: -4.2 mmHg, p = 0.03) and -20 (systolic: -8.8 mmHg, p = 0.001; diastolic: 4.1 mmHg, p = 0.008) was observed and pulse wave velocity was significantly reduced by week-20 (p = 0.02), suggesting improvement in cardiovascular health. Despite high prevalence of anxiety and depression at baseline, we documented a significant improvement in wellbeing and psychological health. Functional capacity was significantly enhanced following completion of the study.

Conclusion

Increasing PA constitutes a promising therapeutic intervention in the management of psoriasis. Evaluation of our intervention in a clinical trial would help determine clinical utility and establish PA guidelines for patients with psoriasis.

Concurrent Validity of Four Activity Monitors in Older Adults

Sedentary behaviour (SB) and physical activity (PA) have been shown to be independent modulators of healthy ageing. We thus investigated the impact of activity monitor placement on the accuracy of detecting SB and PA in older adults, as well as a novel random forest algorithm trained on data from older persons. Four monitor types (ActiGraph wGT3X-BT, ActivPAL3c VT, GENEActiv Original, and DynaPort MM+) were simultaneously worn on five anatomical sites during ten different activities by a sample of twenty older adults (70.0 (12.0) years; 10 women). The results indicated that collecting metabolic equivalent (MET) data for 60 s provided the most representative results, minimising variability. In addition, thigh-worn monitors, including ActivPAL, Random Forest, and Sedentary Sphere-Thigh, exhibited superior performance in classifying SB, with balanced accuracies ≥ 94.2%. Other monitors, such as ActiGraph, DynaPort MM+, and GENEActiv Sedentary Sphere-Wrist, demonstrated lower performance. ActivPAL and GENEActiv Random Forest outperformed other monitors in participant-specific balanced accuracies for SB classification. Only thigh-worn monitors achieved acceptable overall balanced accuracies (≥80.0%) for SB, standing, and medium-to-vigorous PA classifications. In conclusion, it is advisable to position accelerometers on the thigh, collect MET data for ≥60 s, and ideally utilise population-specific trained algorithms.

Characteristics and effects of physical exercise programs for older adults during the COVID-19 pandemic: an integrative review

Objective: To evaluate the characteristics of physical exercise programs for older adults and their effects during the COVID-19 pandemic. Methods: An integrative review was conducted between January and March 2022. A search was conducted in MEDLINE via PubMed, Lilacs via BVS, PEDro, and Cochrane Library. Experimental articles (randomized clinical trials, non-randomized trials, or quasi-experimental studies) published from 2019 to 2021, with no language restriction, and that used physical exercise programs for older adults (> 60 years) in their intervention were included. The studies were selected by reading the title, abstract, and full text. The selected articles had their results extracted using an online form, tabulated using an electronic spreadsheet, and analyzed qualitatively and quantitatively. Results: 113 studies were identified; 7 met the eligibility criteria and were included in the review, all randomized controlled trials. The multi-component exercise programs were more frequent (resistance, balance, flexibility, and aerobic), delivered remotely and performed 2 to 7 times a week, lasting between 30 and 50 minutes. Significant effects were observed on physical function, body composition, blood triglycerides, the incidence of falls, physical activity, and functional capacity. Conclusions: The physical exercise programs used during the COVID-19 pandemic showed promising results for older adults. The programs proved to be a viable alternative for maintaining the physical, mental, and cognitive functions of older adults in times of public calamity.

Impact of COVID-19 pandemic on mobility of older adults: A scoping review

AIMS AND OBJECTIVES

To identify the most frequent determinants of contact limitation on older adults' mobility addressed by the recommendations to mitigate mobility limitation during the COVID-19 pandemic and identify the recommendations characteristics and means of dissemination that might guide coping actions.

BACKGROUND

Measures for physical contact restriction were implemented to prevent COVID-19 spread. These measures directly impacted older people, reducing their mobility, especially outside home environment. Health systems worldwide need to be prepared to implement strategies to mitigate negative effects of reduced mobility in this population.

DESIGN

Scoping review using Arksey and O'Malley's methodological framework.

METHOD

Therefore, a scoping review was conducted in LILACS, CINAHL, MEDLINE, WEB OF SCIENCE and SCOPUS databases. Documents and reports with recommendations from government agencies were also consulted. Results were presented in a narrative synthesis based on a conceptual model of mobility proposed by Webber (The Gerontologist, 2010, 50, 443) regarding the most frequently addressed determinants, characteristics of the proposed interventions, and means of dissemination for the older person population.

FINDINGS

Twenty-eight studies were selected for the final sample. According to Webber's model, most articles (n = 14) presented the impacts on mobility from the perspective of physical determinants, relating this aspect to biological losses in the musculoskeletal system, and a minority assessed mobility in vital spaces, encompassing environmental (n = 3) and financial (n = 1) determinants. Also, the most frequent recommendation was that physical activity promotes maintenance of mobility and prevents the occurrence of adverse results, such as falls, fractures and functional decline. As to dissemination, digital technologies were recognised as a strategy to motivate, instruct and monitor exercise practice to increase mobility in older adults.

CONCLUSION

The main conditions related to the decline in mobility of older adults during COVID-19 pandemic were physical inactivity and sedentary lifestyle. The practice of physical activity is widespread and needs to be adapted according to individual needs. Finally, digital technologies are essential tools in this period, but other alternatives should also be considered for low-income seniors.

IMPLICATIONS FOR PRACTICE

It is hoped that the gaps identified through this scoping review can help enhance the discussion on the broader assessment of mobility in older adults and the design of interventions when contact restriction is a reality.

Detecting accelerometer non-wear periods using change in acceleration combined with rate-of-change in temperature

Background

Accelerometery is commonly used to estimate physical activity, sleep, and sedentary behavior. In free-living conditions, periods of device removal (non-wear) can lead to misclassification of behavior with consequences for research outcomes and clinical decision making. Common methods for non-wear detection are limited by data transformations (e.g., activity counts) or algorithm parameters such as minimum durations or absolute temperature thresholds that risk over- or under-estimating non-wear time. This study aimed to advance non-wear detection methods by integrating a ‘rate-of-change’ criterion for temperature into a combined temperature-acceleration algorithm.

Methods

Data were from 39 participants with neurodegenerative disease (36% female; age: 45–83 years) who wore a tri-axial accelerometer (GENEActiv) on their wrist 24-h per day for 7-days as part of a multi-sensor protocol. The reference dataset was derived from visual inspection conducted by two expert analysts. Linear regression was used to establish temperature rate-of-change as a criterion for non-wear detection. A classification and regression tree (CART) decision tree classifier determined optimal parameters separately for non-wear start and end detection. Classifiers were trained using data from 15 participants (38.5%). Outputs from the CART analysis were supplemented based on edge cases and published parameters.

Results

The dataset included 186 non-wear periods (85.5% < 60 min). Temperature rate-of-change over the first five minutes of non-wear was − 0.40 ± 0.17 °C/minute and 0.36 ± 0.21 °C/minute for the first five minutes following device donning. Performance of the DETACH (DEvice Temperature and Accelerometer CHange) algorithm was improved compared to existing algorithms with recall of 0.942 (95% CI 0.883 to 1.0), precision of 0.942 (95% CI 0.844 to 1.0), F1-Score of 0.942 (95% CI 0.880 to 1.0) and accuracy of 0.996 (0.994–1.000).

Conclusion

The DETACH algorithm accurately detected non-wear intervals as short as five minutes; improving non-wear classification relative to current interval-based methods. Using temperature rate-of-change combined with acceleration results in a robust algorithm appropriate for use across different temperature ranges and settings. The ability to detect short non-wear periods is particularly relevant to free-living scenarios where brief but frequent removals occur, and for clinical application where misclassification of behavior may have important implications for healthcare decision-making.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12874-022-01633-6.

Mental Health and Obesity During the COVID-19 Pandemic

PURPOSE OF REVIEW

The COVID-19 pandemic is associated with increased levels of stress, anxiety and depression in the population. These are associated with unhealthy eating patterns and sedentary behaviour. In turn, this may increase risk of obesity or aggravate it. This narrative review discusses the link between adverse mental health states and weight related behaviours. We present emerging evidence for this phenomenon during the COVID-19 pandemic in individuals with and without pre-existing obesity.

RECENT FINDINGS

A sizeable proportion of the population exhibits deterioration in mental health during the pandemic and those affected often report unhealthy weight-related behaviours such as "junk food" consumption and physical inactivity. Women, individuals with obesity, and those with pre-existing mental health conditions seem to be particularly at risk for overeating in response to stress (i.e. emotional eating). A number of psychological interventions including cognitive behavioural therapy and self-compassion may be effective in improving mental health and emotional eating patterns among the general population and particularly in individuals living with obesity. There is a need to complement efforts to improve mental health in the general population during the COVID-19 pandemic with targeted action to improve physical activity levels and healthy eating particularly among groups at-risk. This may be achieved by reducing disruptions to specialist and primary healthcare services and facilitating access to psychological interventions that address stress-related eating behaviours. Additional studies that examine such interventions, especially those that are delivered remotely, are urgently needed.

Quantitative assessment of sitting time in ambulant adults with Muscular Dystrophy

BACKGROUND

Current investigations into physical behaviour in Muscular Dystrophy (MD) have focussed largely on physical activity (PA). Negative health behaviours such as sedentary behaviour (Physical Behaviour) and sitting time (Posture Classification) are widely recognised to negatively influence health, but by contrast are poorly reported, yet could be easier behaviours to modify.

METHODS

14 ambulant men with MD and 12 healthy controls (CTRL) subjects completed 7-days of free-living with wrist-worn accelerometry, assessing physical behaviour (SB or PA) and Posture Classification (Sitting or Standing), presented at absolute (minutes) or relative (% Waking Hours). Participant body composition (Fat Mass and Fat Free Mass) were assessed by Bioelectrical Impedance, while functional status was assessed by 10 m walk test and a functional scale (Swinyard Scale).

RESULTS

Absolute Sedentary Behaviour (2.2 Hours, p = 0.025) and Sitting Time (1.9 Hours, p = 0.030 was greater in adults with MD compared to CTRL and Absolute Physical Activity (3.4 Hours, p < 0.001) and Standing Time (3.2 Hours, p < 0.001) was lower in adults with MD compared to CTRL. Absolute hours of SB was associated with Fat Mass (Kg) (R = 0.643, p < 0.05) in ambulatory adults with MD.

DISCUSSION

This study has demonstrated increased Sedentary Behaviour (2.2 hours) and Sitting time (1.9 Hours) in adults with MD compared to healthy controls. Extended waking hours in sitting and SB raises concerns with regards to progression of potential cardio-metabolic diseases and co-morbidities in MD.