Using a daily diary approach to examine the early effects of COVID-19 on daily physical activity bouts and contexts among residents of Colorado and California

Investigating the day-level associations between affective variability and physical activity using ecological momentary assessment

BACKGROUND

Understanding affect as a determinant of physical activity has gained increased attention in health behavior research. Fluctuations in affect intensity from moment-to-moment (i.e., affective variability) may interfere with cognitive and regulatory processes, making it difficult to engage in goal-directed behaviors such as physical activity. Preliminary evidence indicates that those with greater trait-level affective variability engage in lower levels of habitual physical activity. However, the extent to which daily fluctuations in affect variability are associated with same-day physical activity levels is unknown. This study used ecological momentary assessment (EMA) to investigate day-level associations between affective variability (i.e., within-subject variance) and physical activity.

METHODS

Young adults (N = 231, M = 23.58 ± 3.02 years) provided three months of smartphone-based EMA and smartwatch-based activity data. Every two weeks, participants completed a 4-day EMA measurement burst (M = 5.17 ± 1.28 bursts per participant). Bursts consisted of hourly randomly-prompted EMA surveys assessing momentary positive-activated (happy, energetic), positive-deactivated (relaxed), negative-activated (tense, stressed), and negative-deactivated (sad, fatigued) affect. Participants continuously wore a smartwatch to measure physical activity across the three months. Mixed-effects location scale modeling examined the day-level associations of affective variability (i.e., positive-activated, positive-deactivated, negative-activated, and negative-deactivated) and physical activity, controlling for covariates such as mean levels of affect, between-subject effects of physical activity, time of day, day of week, day in study, and smartwatch wear time.

RESULTS

There were 41,546 completed EMA surveys (M = 182.22 ± 69.82 per participant) included in the analyses. Above and beyond mean levels of affect, greater day-level variability in positive-activated affect was associated with greater physical activity on that same day compared to other days (τ = 0.01, p < .001), whereas greater day-level variability in negative-deactivated affect was associated with less physical activity on that same day compared to other days (τ = -0.01, p < .001). Day-level variability in positive-deactivated affect or negative-activated affect were not associated with day-level physical activity (ps > .05) CONCLUSIONS: Individuals were less active on days with greater variability in feeling sad and fatigued but more active on days with greater variability in feeling happy and energetic. Understanding the dynamic relationships of affective variability with day-level physical activity can strengthen physical activity interventions by considering how these processes differ within individuals and unfold within the context of daily life. Future research should examine causal pathways between affective variability and physical activity across the day.

Motivational Profile as a Predictor of Physical Activity Among US Adults During the Early Months of the COVID-19 Pandemic: A Daily Diary Study

This study used a daily diary approach to examine associations between day-level physical activity (PA) behavior, PA-specific motivational profile, and days since the COVID-19 national emergency declaration during the early months (April-June 2020) of the pandemic. A total of 468 US adults (Mage = 34.8 y, 79% female) participated in a 28-day smartphone-based daily diary study assessing PA. A baseline survey assessed PA and motivation for PA using the Behavioral Regulation in Exercise Questionnaire. Multilevel linear regression models examined the main effects and interactions of motivational profile and time (days since the US March 13, 2020, COVID-19 national emergency declaration) on daily PA minutes. Latent profile analysis identified 4 distinct motivational profiles for PA among this sample: profile 1: high amotivation (n = 100, 21%); profile 2: low controlled motivation (n = 55, 12%); profile 3: high external regulation (n = 47, 10%); and profile 4: moderate autonomous motivation (n = 266, 57%). After controlling for baseline PA, there were significant interactions between profile and time on daily PA (-0.21, P < .01). Profile 2 showed greater decreases in daily PA minutes over time than profile 1 (b = -0.29, P < .01). Profiles 3 and 4 did not indicate significant decreases in PA compared with profile 1 (b = 0.14, P = .31 and b = -0.16, P = .05, respectively). Contrary to previous research, individuals with lower controlled or moderate autonomous motivation demonstrated the largest decreases in PA over time, whereas individuals with higher amotivation or external regulation demonstrated smaller decreases over time. These findings suggest that external motivation may have provided short-term protection against declines in PA observed during early months of the COVID-19 pandemic.

Safe streets for some: A review of local active transportation responses across the U.S. during the COVID-19 pandemic

Introduction & research objectives

The COVID-19 pandemic significantly disrupted daily travel. This paper contrasts 51 US cities' responses, namely street reallocation criteria and messaging related to physical activity (PA) and active transportation (AT) during the early months of the pandemic. This study can be utilized by cities for aiding in the creation of locally responsive policies that acknowledge and remedy a lack of safe active transportation.

Methods

A content analysis review was conducted of city orders and documents related to PA or AT for the largest city by population in all 50 US states and the District of Columbia. Authoritative documents issued from each city's public health declaration (ca. March 2020) to September 2020 were reviewed. The study obtained documents from two crowdsourced datasets and municipal websites. Descriptive statistics were used to compare policies and strategies, with a focus on reallocation of street space.

Results

A total of 631 documents were coded. Considerable variation existed in city responses to COVID-19 that impacted PA and AT. Most cities' stay-at-home orders explicitly permitted outdoor PA (63%) and many encouraged PA (47%). As the pandemic continued, 23 cities (45%) had pilot programs that reallocated street space for non-motorized road users to recreate and travel. Most cities explicitly mentioned a rationale for the programs (e.g., to provide space for exercise (96%) and to alleviate crowding or provide safe AT routes (57%)). Cities used public feedback to guide placement decisions (35%) and several welcomed public input to adjust initial actions. Geographic equity was a criterion in 35% of programs and 57% considered inadequately sized infrastructure in decision-making.

Conclusions

If cities want to emphasize AT and the health of their citizens, safe access to dedicated infrastructure needs to be prioritized. More than half of study cities did not instate new programs within the first 6 months of the pandemic. Cities should study peer responses and innovations to inform and create locally responsive policies that can acknowledge and remedy a lack of safe AT.

Motivational Profile and Associations with Physical Activity Before, During, and After the COVID-19 Pandemic: A Retrospective Study

BACKGROUND

Background: In March 2020, the World Health Organization declared the global Covid-19 outbreak to be a pandemic, triggering many countries, including Canada, to instate stay-at-home orders to their citizens. Research indicates that these stay-at-home orders are associate with declines in physical activity (PA), a behavior that has been reduce disease risk and improve quality of life. Many behavior change theories, like the Self-Determination Theory (SDT) of motivation, state that physical activity engagement is mediated by psychological contructs, like motivation. According to the SDT, motivation exists on a continuum from more controlled (external or coerced) to more autonomous (volitional) regulatory forms. Individuals move along the continuum from more controlled to more autonomous forms through the fulfillment of three psychological needs: autonomy, competence, and relatedness. Research indicates that moderate to vigorous physical activity (MVPA) is positively associated with autonomous regulatory form of motivation. Recently, researchers have speculated that a better method to describe motivation than movement along the continuum, is to generate motivational profiles, which represent combinations of differing levels of controlled and autonomous regulation existing at the same time.

OBJECTIVE

Objective: We aimed to identify distinct motivational profiles and determine their association with MVPA before, during, and after the COVID-19 pandemic.

METHODS

Methods: Using a cross-sectional, retrospective design, we surveyed 977 Canadian adults. We assessed motivation for physical activity using the Behavioral Regulations in Exercise Questionnaire. We assessed physical activity pre-, during, and post-Covid-19 stay-at-home orders in Canada using the International Physical Activity Questionnaire. We derived motivational profiles using latent profile analysis. Using motivational profile as an independent variable, we assessed its effect on physical activity at all three time points with multi-level models that included participant ID as a random variable.

RESULTS

Results: We identified four profiles: high autonomous and high controlled (HAHC), low overall motivation (LOM), high autonomous and introjected (HAI), and high amotivation and external (HAE). The HAHC profile had the highest levels of weekly MVPA minutes at all three timepoints, followed by the HAI profile.

CONCLUSIONS

Conclusions: Our results suggests that a combination of both autonomous and controlled regulatory forms may be more effective in influencing MVPA than controlled or autonomous forms alone, particularly during times of high stress, like a global pandemic. Whereas the odds of another global pandemic are low, these results may also be applied to other times of stress such as job transitions, relationship changes (e.g., change in marital status), or the death of a loved one. We suggest that clinicians and practitioners consider developing PA interventions that seek to increase both controlled and autonomous regulatory forms, instead of aiming to reduce controlled forms.

Examining Whether Physical Activity Location Choices Were Associated With Weekly Physical Activity Maintenance Across 13 Months of the COVID-19 Pandemic in Emerging Adults

BACKGROUND

Recent studies have shown potentially detrimental effects of the COVID-19 pandemic on physical activity (PA) in emerging adults (ages 18-29 y). However, studies that examined the effects of COVID-19 on PA location choices and maintenance for this age group remain limited. The current study investigated changes in PA location choices across 13 months during the pandemic and their associations with PA maintenance in this population.

METHODS

Emerging adults (N = 197) living in the United States completed weekly survey on personal smartphones (May 2020-June 2021) regarding PA location choices and maintenance. Mixed-effects models examined the main effects of PA location choice and its interaction with weeks into the pandemic on participants' PA maintenance.

RESULTS

On a given week, participants performing PA on roads/sidewalks or at parks/open spaces were 1½ and 2 times as likely to maintain PA levels, respectively. Moreover, after September 2021, weeks when individuals performed PA on roads/sidewalks had a protective effect on PA maintenance.

CONCLUSIONS

Performing PA on roads/sidewalks and at parks/open spaces was associated with PA maintenance during the COVID-19 pandemic. PA promotion and intervention efforts for emerging adults during large-scale disruptions to daily life should focus on providing programmed activities in open spaces to maintain their PA levels.

Going Online?-Can Online Exercise Classes during COVID-19-Related Lockdowns Replace in-Person Offers?

Germany experienced a 6-month second lockdown (November 2020-April 2021) during the COVID-19 pandemic, which included the closure of all physical activity (PA) facilities. The use of online exercise classes (OECs) was promoted by public health and exercise organizations. Using the present cross-sectional online survey, we assess the use of and opinion towards OECs in Germany during the second lockdown. We used contingency tables and the Chi² test to calculate the frequency of awareness and use of OECs according to PA status, well-being and demographic data, and conducted a binary logistic regression with OEC awareness or use and dichotomized independent predictors. The associations between opinion and activity status, frequency of use, educational attainment, age and body mass index were calculated using Spearman correlations. A total of 993 datasets were analyzed in detail. Of the 785 (79.1%) participants reporting awareness of OECs, 536 tried them, and 262, 188 and 85 used them <1 per week, 1-2 per week and ≥3 per week, respectively. The users were typically active, female participants with poorer mental well-being. The opinions towards OECs varied according to participant characteristics, such as activity status, BMI and age. Overall, regular OEC use was quite limited, and, as such, cannot replace in-person exercise opportunities. Keeping physical activity facilities open and safe must be prioritized in the ongoing pandemic.