Anxiety is more related to inadequate eating habits in inactive than in physically active adults during COVID-19 quarantine.

BACKGROUND & AIMS: Anxiety can be related to reduced diet quality during pandemics such as COVID-19. However, it is not clear whether these relationships would be similar in inactive and physically active participants. The aim of this study was to analyze associations between anxiety and eating habits in physically active and inactive individuals during the COVID-19 pandemic. METHODS: The sample consisted of 1826 adults (58.5% women) who were invited through social media to answer an online questionnaire. The instrument included questions related to physical activity, eating habits, health behavior, mental health (anxiety, depression, self-esteem, sadness and stress) and overall health. Anxiety, food habits (high food habits consumption ≥5 times per week) and physical activity (≥150 min per week) were assessed during the COVID-19 pandemic. The relationship between anxiety and eating habits according to levels of physical activity (inactive vs. active) was assessed using binary logistic regression adjusted for sex, age, education level, social isolation, and body mass index. RESULTS: Among the inactive participants, anxiety was related with high consumption of sweets (OR = 1.43; 95% CI = 1.11-1.83) and fast foods (OR = 2.23; 95% CI = 1.05-4.74) while quarantining during the COVID-19 pandemic. No relationship was observed between anxiety and food consumption among physically active participants in the final model. CONCLUSION: Anxiety was associated with less desirable eating habits among physically inactive adults during the COVID-19 pandemic.

Impact of COVID-19 pandemic on physical activity level and screen time is associated with decreased mental health in Brazillian adults: A cross-sectional epidemiological study.

The objective was to verify whether the impact of COVID-19 on physical activity and screen time was associated with the impact on quality of life and symptoms of anxiety and depression in a sample of Brazilian adults. The invitation was made through social networks and the collection was carried out through electronic research. There was a decrease in quality of life and physical activity, and an increase in symptoms of anxiety and depression and screen time. These findings are important for new strategies that promote physically active habits during the pandemic .

Depressive Symptoms Associated With Musculoskeletal Pain in Inactive Adults During COVID-19 Quarantine

Background Depression has been associated with episodes of musculoskeletal pain. However, it is not clear whether such relationships could be mitigated according to the physical activity level. Aim To describe, during the COVID-19 pandemic, the relationship between depression and musculoskeletal pain according to the physical activity levels. Design Cross-sectional study. Methods This research was conducted in Brazil between May 5 and March 17, 2020. Participants (N = 1872;58% women) were invited through social media to answer a structured online questionnaire. Depressive symptoms were assessed through self-report of perception of depression during quarantine. Musculoskeletal pain was assessed based on the Nordic questionnaire identifying nine possible pain points in the body. Physical activity was assessed based on the weekly frequency, intensity, and duration of each session of physical activity the participants engaged in during COVID-19. The logistic binary regression analyzed the associations between depressive symptoms and musculoskeletal pain according to the participants’ level of physical activity. Results Depressive symptoms were associated with pain in six different regions of the body in physically inactive participants. In physically inactive participants, those with depressive symptoms 1.51 (95% CI = 1.04-2.19) and 2.78 (95% CI = 1.81-4.26) times more likely to have pain in one or two and ≥three regions body regions, respectively. In active participants, depressive symptoms were not associated with pain. Conclusion During the COVID-19 pandemic, depression was associated with musculoskeletal pain in physically inactive participants.

Physical Activity Is Associated With Improved Eating Habits During the COVID-19 Pandemic.

The aim of this study was to analyze the association between physical activity and eating habits during the COVID-19 pandemic among Brazilian adults. A sample of 1,929 participants answered an online survey, however 1,874 were included in the analysis. The impact of the COVID-19 pandemic on eating habits was assessed inquiring about participants' intake of fruits, vegetables, fried foods, and sweets during the pandemic. Physical activity was assessed by asking participants about their weekly frequency, intensity and number of minutes/hours engaging in structured physical activities per week. Participants were then stratified into categories based on moderate-to-vigorous intensity (0-30; 31-90; 91-150; 151-300; and >300 min/week) and into active (≥150 min) or inactive (<150 min). Increased sweets consumption was the most commonly reported change to eating habits (42.5%), followed by an increase in the consumption of vegetables (26.6%), fruits (25.9%), and fried foods (17.9%). Physical activity practice was related to lower consumption of fried foods (OR = 0.60; p < 0.001) and sweets (OR = 0.53; p < 0.001). A cluster analysis revealed subjects with higher the level of physical activity was more likely to follow a healthy diet (p < 0.001). Thus, physical activity was positively associated with healthier eating habits. Health authorities must recommend regular physical as a strategy to improve overall health during the COVID-19 pandemic. Future studies should address the physical activity interventions to improve health status during a pandemic.

Reduction of Physical Activity Levels During the COVID-19 Pandemic Might Negatively Disturb Sleep Pattern.

BACKGROUND: The outbreak of novel coronavirus disease 2019 (COVID-19) has caused a global panic and public concern due to its mortality ratio and lack of treatments/vaccines. Reduced levels of physical activity have been reported during the outbreak, affecting the normal daily pattern. OBJECTIVE: To investigate (i) the relationship of physical activity level with sleep quality and (ii) the effects of reduction physical activity levels on sleep quality. METHODS: A Google form was used to address personal information, COVID-19 personal care, physical activity, and mental health of 1,907 adult volunteers. Binary logistic regression was used to verify the association of physical activity parameters and sleep quality. RESULTS: Insufficient physical activity levels were a risk factor to have disturbed sleep pattern [OR: 1.28, 95% CI (1.01-1.62)]; however, when the BMI was added to the analysis, there was no more statistical difference [OR: 1.23, 95% CI (0.96-1.57)]. On the other hand, we found that the reduction of physical activity levels was associated with negative changes in sleep quality [OR: 1.73, 95% CI (1.37-2.18)], regardless all the confounders [OR: 1.30, 95% CI (1.01-1.68)], unless when feeling of depression was added in Model 6 [OR: 1.28, 95% CI (0.99-1.66)]. CONCLUSION: Disruption in daily physical activity routine, rather than physical activity level, negatively influences sleep quality during the COVID-19 quarantine.

The same storm but not the same boat: Effects of COVID-19 stay-at-home order on mental health in individuals with overweight.

OBJECTIVE: To describe the effects of stay-at-home orders and social distancing during the coronavirus disease (COVID-19) outbreak on mental health and to compare these outcomes between individuals with normal weight and overweight. METHODS: This cross-sectional study included 1857 Brazilian adults, who were invited through social media to answer an online questionnaire from 5 May 2020 to 17 May 2020. The instrument included questions related to health behaviour, mental health (anxiety, depression, self-esteem, sadness and stress) and overall health. Overweight was defined as body mass index (BMI) ≥ 25 Kg/m2 . Multiple logistic regression was conducted to identify whether overweight is associated with mental health variables. RESULTS: Women reported increased anxiety (36.5% vs 22.2%, P < .01), depression (16.2% vs 8.8%, P < .01), low self-esteem (19.8% vs 10.6%, P < .01), sadness (17.7% vs 10.2%, P < .01), and stress (29.5% vs 19.3%, P < .01) relative to men. Women with overweight are more likely to report higher feeling of anxiety (OR 1.62, CI 95% 1.22-2.14), depression (OR 1.79, CI 95% 1.25-2.55), low self-esteem (OR 1.82, CI95% 1.28-2.58) and sadness (OR 1.51, CI 95% 1.08-2.10), adjusted for age, social isolation days, educational level, chronic diseases, smoke, alcohol intake and physical activity. CONCLUSION: Women, specially those with overweight are more vulnerable to the deleterious effects of stay-at-home orders on mental health during the COVID-19 pandemic.