Prospective COVID-19 related changes in physical activity and sedentary time and associations with symptoms of depression and anxiety

Rees‐Punia, Erika; Newton, Christina C.; Westmaas, J. Lee; Chantaprasopsuk, Sicha; Patel, Alpa V.

doi:10.1016/j.mhpa.2021.100425

Cited by 15 publications

(14 citation statements)

References 46 publications

(67 reference statements)

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“…The foregoing, in contrast to what was presented by active but sedentary students, who presented a higher prevalence of these mental health symptoms. In this sense, similar results were observed by Rees-Punia et al in which participants who increased their sedentary lifestyle, became inactive, or decreased their moderate to vigorous activity were more likely to experience depression related to psychological distress during the COVID-19 pandemic [ 73 ].…”

Section: Discussionsupporting

confidence: 82%

Association between the Physical Activity Behavioral Profile and Sedentary Time with Subjective Well-Being and Mental Health in Chilean University Students during the COVID-19 Pandemic

Reyes-Molina

Alonso-Cabrera

Nazar

et al. 2022

IJERPH

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Objective: To analyze the association between the behavioral profile of physical activity and sedentary time with subjective well-being and mental health in university students during the COVID-19 pandemic in Chile. Methods: Cross-sectional study in a voluntary sample of 469 university students (22.4 ± 0.19 years; 66% women). According to students’ self-reports of physical activity and sedentary time, four behavioral profiles were created to investigate their association with subjective well-being and mental health using one-factor ANOVA that was adjusted to a multifactorial model. Results: The physically inactive and sedentary behavior profile presents the lowest levels of subjective well-being (p < 0.001), positive affective experiences (p < 0.001) and general mental health (p = 0.001). When adjusting for confounding variables, it was observed that the physically active and non-sedentary profile was associated with better general mental health (p < 0.01) in contrast to those who are physically active and sedentary. Conclusions: Chilean university students with a physically inactive and sedentary profile during the pandemic presented worse well-being and mental health, with a sedentary lifestyle being one of the variables that most affects the mental health of these students. Therefore, measures should be implemented to encourage this population to maintain adequate levels of physical activity and reduce sedentary times.

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Section: Discussionsupporting

confidence: 82%

Association between the Physical Activity Behavioral Profile and Sedentary Time with Subjective Well-Being and Mental Health in Chilean University Students during the COVID-19 Pandemic

Reyes-Molina

Alonso-Cabrera

Nazar

et al. 2022

IJERPH

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“…All participants were invited to take a COVID-19-focused questionnaire (“COVID survey”), which sought to examine how the pandemic affected participants’ dietary habits using the same dietary screener administered in 2018. The survey also investigated the pandemic’s effects on physical and mental health [ 41 , 42 ] and included questions about self-reported weight, physical activity [ 43 ], health care access, health insurance, employment status, and financial security. A total of 2429 portal participants completed this survey between July and August 2020, during which time much of the U.S. experienced restrictions on large group gatherings and events but not nationwide lockdowns or curfews, unlike some other countries.…”

Section: Methodsmentioning

confidence: 99%

Change in Diet Quality and Meal Sources during the COVID-19 Pandemic in a Diverse Subset of Men and Women in the Cancer Prevention Study-3

Hodge

McCullough

2023

Nutrients

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The COVID-19 pandemic resulted in restrictive measures that caused disruptions in behaviors that may have long-term consequences on diet, health, and chronic disease risk. The aim of this study was to assess longitudinal changes in diet quality from before to during the pandemic among 2335 adult participants (816 males and 1519 females; aged 36–78) of the Cancer Prevention Study-3 cohort. We compared dietary screeners conducted in 2018 and 2020 and calculated a diet quality score, which assigned higher points for recommended foods. Overall diet quality slightly improved among all participants from before to during the pandemic, particularly among males (+0.45 points, p < 0.001), White participants (+0.24 points, p < 0.001), and participants reporting weight loss (+0.66 points, p < 0.001 for 2.25 -< 4.5kg loss; +1.04 points, p < 0.001 for ≥4.5kg loss); change in diet quality did not differ by other sociodemographic factors. Reported consumption of most food groups decreased, especially whole grains (−0.17 servings/day, p < 0.001) and vegetables (−0.21 servings/day, p < 0.001), primarily among females, Black participants, and participants who gained ≥2.25kg. The frequency of meals from outside the home decreased, especially in full-service restaurants (−0.47 times/week, p < 0.001) and for ready-to-eat meals (−0.37 times/week, p < 0.001). Declines in whole grain and vegetable consumption raise concerns for weight gain in these populations and increased risk of poor metabolic health and chronic disease.

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“…According to [5] sedentary behavior increases all-cause mortality. Furthermore, there is a vicious cycle in which sedentary behavior induces a depressed mood, and the depressed mood further reduces physical activity [6]. According to a survey by KK Japan Innovation [7], 63.37% of university students showed symptoms of depression when Japanese universities conducted fully remote education.…”

Section: Impacts Of Sedentary Behaviormentioning

confidence: 99%

Effects of chest movements while sitting on Navon task performance and stress levels

Arima

2023

BMC Digit Health

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Background This study explored physical activity during remote work, most of which takes place while sitting in front of a computer. The purpose of Experiment 1 was to develop a classification for body motion by creating a neural net that can distinguish among several kinds of chest movement. Experiment 2 examined the effects of chest movements on stress and performance on the Navon test to validate the model developed in Experiment 1. Method and results The procedures for this study were as follows. Experiment 1: Creation of the body movement classification model and preliminary experiment for Experiment 2. Data from five participants were used to construct a machine-learning categorization model. The other three participants participated in a pilot study for Experiment 2. Experiment 2: Model validation and confirmation of stress measurement validity. We recruited 34 new participants to test the validity of the model developed in Experiment 1. We asked 10 of the 34 participants to retake the stress measurement since the results of the stress assessment were unreliable. Using LSTM models, we classified six categories of chest movement in Experiment 1: walking, standing up and sitting down, sitting still, rotating, swinging, and rocking. The LSTM models yielded an accuracy rate of 83.8%. Experiment 2 tested the LSTM model and found that Navon task performance correlated with swinging chest movement. Due to the limited reliability of the stress measurement results, we were unable to draw a conclusion regarding the effects of body movements on stress. In terms of cognitive performance, swinging of the chest reduced RT and increased accuracy on the Navon task (β = .015 [-.003,.054], R2 = .31). Conclusions LSTM classification successfully distinguished subtle movements of the chest; however, only swinging was related to cognitive performance. Chest movements reduced the reaction time, improving cognitive performance. However, the stress measurements were not stable; thus, we were unable to draw a clear conclusion about the relationship between body movement and stress. The results indicated that swinging of the chest improved reaction times in the Navon task, while sitting still was not related to cognitive performance or stress. The present article discusses how to collect sensor data and analyze it using machine-learning methods as well as the future applicability of measuring physical activity during remote work.

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Prospective COVID-19 related changes in physical activity and sedentary time and associations with symptoms of depression and anxiety

Cited by 15 publications

References 46 publications

Association between the Physical Activity Behavioral Profile and Sedentary Time with Subjective Well-Being and Mental Health in Chilean University Students during the COVID-19 Pandemic

Association between the Physical Activity Behavioral Profile and Sedentary Time with Subjective Well-Being and Mental Health in Chilean University Students during the COVID-19 Pandemic

Change in Diet Quality and Meal Sources during the COVID-19 Pandemic in a Diverse Subset of Men and Women in the Cancer Prevention Study-3

Effects of chest movements while sitting on Navon task performance and stress levels

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