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

Self-perception of health and physical activity levels among the youth and adults before and amidst the COVID-19 pandemic

Background

Emerging research indicates that the COVID-19 pandemic and associated restrictions led to decreased physical activity levels and poorer health globally. However, most studies on this topic have focused on advanced countries, leaving a gap in understanding the impact in countries like Ghana. This study aimed to fill this gap by assessing self-perceived health status and physical activity levels among youth and adults in Ghana before, during, and after the COVID-19 restrictions. Understanding these dynamics is crucial for informing public health interventions and policies to promote well-being during and beyond the pandemic.

Methods

A cross-sectional survey using online data collection methods was conducted, involving 937 participants. Data included demographic information, and International Physical Activity Questionnaire-Short Form (IPAQ-SF). Analysis was done using SPSS version 25, with descriptive statistics and multinomial regression.

Results

Most participants (89.6%) reported good health. Male participants were significantly more likely to engage in moderate (1.78 times) and high (3.17 times) physical activity during the COVID-19 period compared to females.

Conclusion

This study highlights gender disparities in physical activity levels during the pandemic in Ghana. Addressing these disparities and promoting healthier lifestyles, especially during crises, is crucial for general and mental health. Further research should explore socio-demographic factors' role in health behaviors during pandemics.

Physical activity and its fluctuations in relation to depressive symptoms: A national longitudinal study among Chinese adults

BACKGROUND

Physical activity (PA) may prevent depressive symptoms, however, PA fluctuations may have different effects. Using three waves of nationally representative data, this study aimed to examine the effects of PA fluctuations on depressive symptoms.

METHODS

Participants comprised 7633 adults free of depressive symptoms at the first two waves (Mage = 45.26, 54.70 % males). They completed the China Family Panel Study in 2016 (T1), 2018 (T2), and 2020 (T3), respectively. Depressive symptoms were measured by the Center for Epidemiologic Studies Depression (CES-D) scale using a cutoff of 16. Participants' PA levels were split into regular PA or infrequent PA groups. Changes in PA levels between T1 and T2 were classified into four groups: maintained infrequent PA, initiated regular PA, ceased regular PA, and persisted regular PA.

RESULTS

The incidence of depressive symptoms was 20.22 % (19.05 % possible and 1.17 % severe depression). After multivariate adjustment, Poisson regression showed that persistent regular PA had 17.8 % (95 % CI: 0.724, 0.934) lower risks of incident depressive symptoms compared to maintained infrequent PA. And adults who ceased regular PA were more likely to experience depressive symptoms than those who persisted in regular PA (RR = 1.188, 95 % CI: 1.010, 1.398).

LIMITATIONS

All items were self-reported. CES-D only examined self-diagnosed depressive symptoms, not medical diagnoses.

CONCLUSION

Adults who persisted in regular PA may have a lower possibility of developing depressive symptoms. The finding might serve as an empirical reference to depression prevention.

The risk of incident depression when assessed with the Lifestyle and Well-Being Index

OBJECTIVES

Novel findings indicate links between unhealthy lifestyles and depression based on active inflammatory processes. Thus, identifying participants with poor habits could reveal differences in trends of incident depression. This study aimed to examine the association between an objective lifestyle assessment, as measured by the Lifestyle and Well-Being Index (LWB-I), and incident depression in healthy participants of a Spanish cohort.

STUDY DESIGN

This was a longitudinal analysis of a subsample of 10,063 participants from the Seguimiento Universidad de Navarra cohort study.

METHODS

Group comparisons and Cox proportional hazard models were conducted using the LWB-I, which categorizes the sample into groups with healthy and unhealthy lifestyles and well-being. The main outcome was incident depression as well as secondary outcomes.

RESULTS

Those classified to the transition category of LWB-I were associated with a hazard ratio of 0.67 (95% confidence interval: 0.52-0.87), and those in the excellent category showed a hazard ratio of 0.44 (95% confidence interval: 0.33-0.58), which in both groups reflects a significantly lower risk of incident depression compared with the group including those classified in the poor LWB-I level. Moreover, the available sensitivity analyses concerning time of depression diagnosis or antidepressant treatment further supported the role of nutrition and physical activity on incident depression. Interestingly, throughout the follow-up, incident depression was inversely related to healthier daily habits as measured by the LWB-I.

CONCLUSIONS

A global assessment of lifestyles such as the LWB-I provides valuable insight into the complex relationship between lifestyle factors and their link to depression risk.

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

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.

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

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 -< 4.5 kg loss; +1.04 points, p < 0.001 for ≥4.5 kg 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 ≥2.25 kg. 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.

Pandemic-Related Life Events and Physical Inactivity During COVID-19 Among Israeli Adults: The Smoking and Lifestyles in Israel Study

BACKGROUND

Public health measures to contain the COVID-19 pandemic have led to disruptions in daily life, such as job loss and changes in activity. The present study examines the relationship between pandemic-related life events and disuse (prolonged sitting coupled with inactivity) among adults.

METHODS

A cross-sectional study of 4084 adults in Israel (September 2020). The primary independent variables were pandemic-related life events, such as job loss. The primary dependent variable was disuse as measured by the Rapid Assessment Disuse Index (RADI). The RADI was examined continuously and dichotomously as a low RADI score (<26: yes/no).

RESULTS

Linear regression indicated that experiencing a major life event during the pandemic was associated with lower RADI scores (-1.04; 95% confidence interval, -1.48 to -0.61). Similarly, logistic regression revealed that those experiencing a major life event had 1.18 (95% confidence interval, 1.03 to 1.34) times greater odds for low RADI scores in comparison to those not experiencing an event.

CONCLUSIONS

Experiencing pandemic-related major life events was linked to less sitting time and increased activity levels among Israeli adults. Future research should examine underlying mechanisms explaining this relationship to facilitate the design and implementation of targeted interventions.

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

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.