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Background: Physical activity (PA) is an important contributor to one's physical and mental health both acutely and across the lifespan. Much research has done on the ambient environment's impact on PA; however, these studies have used absolute values of atmospheric measures such as temperature and humidity, which vary spatiotemporally and make comparisons between studies which differ in location or time of year difficult to square with one another. Methods: Here, we employ the Global Weather Type Classification, Version 2, to determine the combined impact of temperature and humidity on PA in a sample of insufficiently active young adults. We conducted secondary analyses of data from a single-group behavioral intervention trial that varied the number of digital messages sent daily. Young adults (n = 81) wore Fitbit Versa smartwatches for a 6-month period sometime between April 2019 and July 2020, and location was tracked using a custom smartphone application. Results: Mixed linear models indicated that, across 8179 person-days, PA was significantly lower on days with humid conditions and significantly higher on warm dry days, though the latter relationship was no longer significant when controlling for timing in relation to the COVID-19 pandemic declaration. Demographic factors did not affect the relationship between weather and PA. Conclusions: Results are a first step in providing additional guidance for encouraging PA in insufficiently active individuals given forecasted daily weather conditions. Future work should examine seasonal variability in the weather type–PA relationship without the influence of a world-altering event influencing results. [ABSTRACT FROM AUTHOR]

Despite widespread interest in variance in affect, basic questions remain pertaining to the relative proportions of between-person and within-person variance, the contribution of days and moments, and the reliability of these estimates. We addressed these questions by decomposing negative affect and positive affect variance across three levels (person, day, moment), and calculating reliability using a coordinated analysis of seven daily diary, ecological momentary assessment (EMA), and diary-EMA hybrid studies (across studies age = 18-84 years, total Npersons = 2,103, total Nobservations = 45,065). Across studies, within-person variance was sizeable (negative affect: 45% to 66%, positive affect: 25% to 74%); in EMA more within-person variance was attributable to momentary rather than daily level. Reliability was adequate to high at all levels of analysis (within-person: .73-.91; between-person: .96-1.00) despite different items and designs. We discuss the implications of these results for the design of future intensive studies of affect variance.

The experience of naturally-occurring stress in daily life has been linked with lower physical activity levels. However, most of this evidence comes from general and static reports of stress. Less is known how different temporal components of everyday stress interfere with physical activity. In a coordinated secondary analysis of data from two studies of adults, we used intensive, micro-longitudinal assessments (ecological momentary assessments, EMA) to investigate how distinct components of everyday stress, that is, reactivity to stressor events, recovery from stressor events, and pileup of stressor events and responses predict physical activity. Results showed that components of everyday stress predicted subsequent physical activity especially for indicators of stress pileup. In both studies, the accumulation of stress responses over the previous 12 h was more predictive of subsequent physical activity than current stress reactivity or recovery responses. Results are compared to the effects of general measures of perceived stress that showed an opposite pattern of results. The novel everyday stress approach used here may be fruitful for generating new insights into physical activity specifically and health behaviors in general.

Although stress is a common experience in everyday life, a clear understanding of how often an individual experiences and reports stress is lacking. Notably, there is little information regarding factors that may influence how frequently stress is reported, including which stress dimension is measured (i.e., stressors-did an event happen, subjective stress-how stressed do you feel, conditional stress-how stressful a stressor was) and the temporal features of that assessment (i.e., time of day, day of study, weekday vs. weekend day). The purpose of the present study was to conduct a coordinated analysis of five independent ecological momentary assessment studies utilizing varied stress reporting dimensions and temporal features. Results indicated that, within days, stress was reported at different frequencies depending on the stress dimension. Stressors were reported on 15-32% of momentary reports made within a day; across days, the frequency ranged from 42 to 76% of days. Depending on the cutoff, subjective stress was reported more frequently ranging about 8-56% of all moments within days, and 40-90% of days. Likewise, conditional stress ranged from just 3% of moments to 22%, and 11-69% of days. For the temporal features, stress was reported more frequently on weekdays (compared to weekend days) and on days earlier in the study (relative to days later in the study); time of day was inconsistently related to stress reports. In sum, stress report frequency depends in part on how stress is assessed. As such, researchers may wish to measure stress in multiple ways and, in the case of subjective and conditional stress with multiple operational definitions, to thoroughly characterize the frequency of stress reporting.

Objective: Physical activity is important for health, yet most young adults are insufficiently active. Physical activity is regulated in part, by habit, typically operationalised as automaticity. Little is known about the characteristics of automaticity, or whether broad bandwidth unidimensional measures of automaticity for physical activity are superior to narrower bandwidth multi- dimensional measures. Design: This secondary analysis (N = 238) investigated the nature of automaticity, and relations between the dimensions of automaticity, global automaticity, and physical activity.Main Outcome Measures: The structure of the Generic Multifaceted Automaticity Scale (GMAS) was examined by confirmatory factor analyses. Structural equation models were estimated to evaluate relations between automaticity (measured on the GMAS and the Self- Report Behavioral Automaticity Index, SRBAI) and device- measured activity.Results: The hypothesised 3- factor structure of the GMAS was rejected, in favour of a 2- factor solution. Lack of intention/control and efficiency were associated with global automaticity, but not physical activity. Global automaticity was associated with moderate to vigorous physical activity and daily steps, but not light physical activity.Conclusion: Multi- dimensional measures of automaticity may not provide a more nuanced understanding of automaticity when predicting overall physical activity. [ABSTRACT FROM AUTHOR]

Stress is an established risk factor for negative health outcomes, and responses to everyday stress can interfere with health behaviors such as exercise and sleep. In accordance with the Science of Behavior Change (SOBC) program, we apply an experimental medicine approach to identifying stress response targets, developing stress response assays, intervening upon these targets, and testing intervention effectiveness. We evaluate an ecologically valid, within-person approach to measuring the deleterious effects of everyday stress on physical activity and sleep patterns, examining multiple stress response components (i.e., stress reactivity, stress recovery, and stress pile-up) as indexed by two key response indicators (negative affect and perseverative cognition). Our everyday stress response assay thus measures multiple malleable stress response targets that putatively shape daily health behaviors (physical activity and sleep). We hypothesize that larger reactivity, incomplete recovery, and more frequent stress responses (pile-up) will negatively impact health behavior enactment in daily life. We will identify stress-related reactivity, recovery, and response in the indicators using coordinated analyses across multiple naturalistic studies. These results are the basis for developing a new stress assay and replicating the initial findings in a new sample. This approach will advance our understanding of how specific aspects of everyday stress responses influence health behaviors, and can be used to develop and test an innovative ambulatory intervention for stress reduction in daily life to enhance health behaviors.

Background: Rural cancer survivors face a greater number of health disparities, including poorer health-related quality of life (HRQoL), than urban cancer survivors. Engagement in healthy lifestyle behaviors also varies between rural and urban cancer survivors. Lifestyle behaviors can improve HRQoL; however, the combination of behaviors most important for HRQoL in rural survivors is unclear. This study examined clusters of lifestyle behaviors in rural cancer survivors, and differences in HRQoL between behavioral clusters. Methods: Rural cancer survivors in the United States (N = 219) completed a cross-sectional survey. Lifestyle behaviors were classified into unhealthy/healthy binary categories (inactive/active, longer/shorter sedentary time, excessive/acceptable fat intake, very low/higher fruit and vegetable intake, some/no alcohol consumption, and poor/good sleep quality). Behavioral clusters were identified by latent class analysis. HRQoL differences between behavioral clusters were assessed by ordinary least squares regression. Results: The 2-class model demonstrated the best fit and interpretability. The "mostly unhealthy behaviors" class (38.5% of sample) had higher probabilities of all unhealthy behaviors, except alcohol consumption. The "healthier energy balance" class (61.5% of sample) had higher probabilities of active, shorter sedentary, higher fruit and vegetable consumption, excessive fat intake, some alcohol consumption, and poor sleep categories, and reported better HRQoL. Conclusions: Healthier energy balance behaviors were particularly relevant for HRQoL in rural cancer survivors. Multiple behavior change interventions to improve HRQoL in rural cancer survivors should focus on supporting energy balance behaviors. Many rural cancer survivors may lead very unhealthy lifestyles, placing them at high risk of adverse outcomes. This subpopulation should be prioritized to help alleviate cancer health disparities. [ABSTRACT FROM AUTHOR]

Life span developmental theories suggest that as individuals age, they accumulate knowledge about how to deploy emotion regulation (ER) strategies effectively and learn how to match their ER strategy use with changes in situational demands. Using an event-contingent experience sampling design wherein 150 adults Age 18 to 89 years reported on 64,213 social interactions (M = 427.41, SD = 145.66) during 9 weeks of daily life, this study examines (a) age-related differences in individuals' usual ER strategy use (reappraisal, suppression) during everyday social interactions, (b) age-related differences in how much individuals' use of these two strategies varies across social situations--ER variability, and (c) age-related differences in the extent to which ER strategy use covaries with relational (close vs. nonclose others) and emotional (happy, sad) contextual features of those social situations--ER flexibility. In line with a small body of prior work, usual ER strategy use did not differ across adulthood and ER variability was lower at older ages. Results from multilevel models of intraindividual covariation suggested that individuals flexibly matched their ER strategy implementation to changes in emotional context--especially when interacting with close others. The results also provided evidence that the intraindividual covariation between relational context and use of suppression was weaker at older ages. Beyond these specific findings, this study demonstrated the utility of experience sampling designs, event-contingent reports, and the measurement/modeling of intraindividual variation and covariation for study of emotional development across the life span.

Individuals' sensitivity to climate hazards is a central component of their vulnerability to climate change. In this paper, we introduce and outline the utility of a new intraindividual variability construct, affective sensitivity to air pollution (ASAP)–defined as the extent to which an individual's affective states fluctuate in accordance with daily changes in air quality. As such, ASAP pushes beyond examination of differences in individuals' exposures to air pollution to examination of differences in individuals' sensitivities to air pollution. Building on known associations between air pollution exposure and adverse mental health outcomes, we empirically illustrate how application of Bayesian multilevel models to intensive repeated measures data obtained in an experience sampling study (N = 150) over one year can be used to examine whether and how individuals' daily affective states fluctuate with the daily concentrations of outdoor air pollution in their county. Results indicate construct viability, as we found substantial interindividual differences in ASAP for both affect arousal and affect valence. This suggests that repeated measures of individuals' day-to-day affect provides a new way of measuring their sensitivity to climate change. In addition to contributing to discourse around climate vulnerability, the intraindividual variability construct and methodology proposed here can help better integrate affect and mental health in climate adaptation policies, plans, and programs. [ABSTRACT FROM AUTHOR]

Healthy lifestyle behaviors can improve health-related quality of life (HRQOL) in cancer survivors; but the combination of behaviors most important for HRQOL is not known. This study investigated the patterns of lifestyle behaviors among cancer survivors and differences in HRQOL between behavioral classes. Cancer survivors (n = 2,463) were invited to participate in a cross-sectional survey. Participants (N = 591) were predominately female (63%) and non-Hispanic White (90%). Survey items included self-reported physical activity, diet, smoking, sleep, HRQOL, and demographics. Behavioral classes were estimated by latent class analysis. Differences between classes were assessed by latent class regression. Compared with the "healthy lifestyles" class (higher probabilities of meeting aerobic/strength-based activity guidelines, high fruit/vegetable intake, and no sleep problems; 11% of sample), the "sleep and diet problems with inconsistent physical activity" class (higher probabilities of not meeting strength-based guidelines, low fruit/vegetable intake, some sleep problems; marginally higher probability of meeting aerobic guidelines; 41%) had poorer general and physical HRQOL. The "poor physical activity and diet" class (higher probabilities of not meeting aerobic/strength-based guidelines, low fruit/vegetable intake, and some sleep problems; 48%) had poorer general, physical, and mental HRQOL. Few participants exhibited healthy lifestyle patterns associated with HRQOL. The findings provide opportunities to develop differentiated multiple behavior-change interventions, targeted to two common patterns of behavior. A large subgroup of cancer survivors was susceptible to suboptimal physical activity and diet, warranting interventions exclusively targeting these behaviors. Another subgroup was susceptible to suboptimal physical activity, diet, and sleep, indicating interventions for this group should include strategies targeting these three behaviors. [ABSTRACT FROM AUTHOR]

This article explores the association between motivation and functional capacity in older adults before surgery. The study found that older adults with poor functional capacity showed lower self-determined motivation, which may hinder their participation in physical activity programs before surgery and limit potential improvements in functional capacity. The authors suggest that clinicians should develop programs that offer different levels of support to reduce motivational barriers to physical activity. However, the study was conducted at an urban academic institution, so the generalizability of the results to other settings is unclear. [Extracted from the article]

Evidence suggests that physical activity and alcohol use are positively related among young adults. Two studies have examined daily relations, and results have shown conflicting findings. We examined relations between physical activity and alcohol use at both within- and between-individual levels and investigated moderators of the relation at both levels. 269 college students wore accelerometers to collect physical activity data over a 2-week period. At the end of each day, they indicated whether or not they drank alcohol. Multilevel logistic regression indicated neither within- nor between-subject relations were statistically significant. Positive affect, negative affect, and drinking motives moderated these relations at the between-subject level. Contrary to previous research, we did not observe a relation between physical activity and alcohol use at the daily level. Unique features of the current study suggest next steps for future research examining the perplexing PA-alcohol relation in this population., Author(s): Craig E. Henderson [sup.1] , John M. Manning [sup.1] , Cindy M. Davis [sup.1] , David E. Conroy [sup.2] , M. Lee Van Horn [sup.3] , Kim Henry [sup.4] [...]

Alcohol use and physical inactivity are associated with increased risk of cancer diagnosis and recurrence. Physical activity (a health protective behavior) is positively associated with alcohol use (a health risk behavior) in the general population but has yet to be examined in breast cancer survivors. This study examined associations between weekly alcohol use and physical activity in 197 post-treatment breast cancer survivors (M.sub.age = 55.04, SD.sub.age = 10.92). Participants wore an accelerometer and provided self-reported alcohol intake for five 7-day waves every 3 months. Survivors who engaged in more light intensity physical activity had increased odds of consuming alcohol (odds ratio = 1.14, p = .02) but did not differ in the amount of alcohol consumed. When promoting physical activity among this population, it is important to consider the increased likelihood of alcohol consumption., Author(s): Jenna D. Gilchrist [sup.1] [sup.2] , David E. Conroy [sup.2] [sup.3] , Catherine M. Sabiston [sup.1] Author Affiliations: (1) grid.17063.33, 0000 0001 2157 2938, Department of Exercise Sciences, Faculty [...]

Mobile sensor data-to-knowledge (MD2K) was chosen as one of 11 Big Data Centers of Excellence by the National Institutes of Health, as part of its Big Data-to-Knowledge initiative. MD2K is developing innovative tools to streamline the collection, integration, management, visualization, analysis, and interpretation of health data generated by mobile and wearable sensors. The goal of the big data solutions being developed by MD2K is to reliably quantify physical, biological, behavioral, social, and environmental factors that contribute to health and disease risk. The research conducted by MD2K is targeted at improving health through early detection of adverse health events and by facilitating prevention. MD2K will make its tools, software, and training materials widely available and will also organize workshops and seminars to encourage their use by researchers and clinicians.

Affective judgements represent a promising target for promoting physical activity among adults. This study examined whether relations between affective judgments and physical activity are robust after adjusting for social, built, and natural environmental determinants. Prospective cross-sectional study with 173 adults (70.1% female) aged 18–29 years who self-reported less than 90 minutes of moderate-to-vigorous physical activity. Physical activity volume (total daily step count, total activity counts) and durations of intensity-specific physical activity (light-intensity activity and moderate-to-vigorous intensity) were assessed for a seven-day period via waist-worn ActiGraph wGT3X-BT accelerometer. Affective judgements were not statistically associated with measures of physical activity volume or intensity-specific physical activity after adjusting for environmental influences. Support for exercise from friends was positively associated with measures of physical activity volume and moderate-to-vigorous physical activity duration. More favorable perceptions of the built environment were positively associated with moderate-to-vigorous intensity physical activity and negatively associated with duration of light-intensity physical activity. Longer photoperiods were associated with more light-intensity physical activity. Physical activity interventions for young and emerging adults reporting inactivity should target environmental determinants first and possibly wait until participants have a motivational stake in physical activity before targeting affective judgments. [ABSTRACT FROM AUTHOR]