The Specification of a Computational Model of Physical Activity Habit.

The influence of habit on physical activity is computationally modeled as the aggregated influence of past behavioral choices a person makes in a given context. We hypothesize that the influence of habit on behavior can be enhanced through engagement of the target behavior in a particular context or weakened through engagement of alternative behaviors in that context.

Breaking the Habit? Identifying Discrete Dimensions of Sitting Automaticity and Their Responsiveness to a Sitting-Reduction Intervention.

BACKGROUND: Growing evidence suggests that sitting is activated automatically on exposure to associated environments, yet no study has yet sought to identify in what ways sitting may be automatic. METHOD: This study used data from a 12-month sitting-reduction intervention trial to explore discrete dimensions of sitting automaticity, and how these dimensions may be affected by an intervention. One hundred ninety-four office workers reported sitting automaticity at baseline, and 3 months, 6 months, 9 months and 12 months after receiving one of two sitting-reduction intervention variants. RESULTS: Principal component analysis extracted two automaticity components, corresponding to a lack of awareness and a lack of control. Scores on both automaticity scales decreased over time post-intervention, indicating that sitting became more mindful, though lack of awareness scores were consistently higher than lack of control scores. CONCLUSION: Attempts to break office workers' sitting habits should seek to enhance conscious awareness of alternatives to sitting and afford office workers a greater sense of control over whether they sit or stand.

Exploring the Interplay Between Message Format, Need for Cognition and Personal Relevance on Processing Messages About Physical Activity: a Two-Arm Randomized Experimental Trial.

BACKGROUND: According to the Elaboration Likelihood Model, persuasion can occur via two different routes (the central route and peripheral route), with the route utilized dependent on factors associated with motivation and ability. This study aimed to explore the moderating role of need for cognition (NFC) and perceived relevance on the processing of physical activity messages designed to persuade via either the central route or the peripheral route. METHOD: Participants (N = 50) were randomized to receive messages optimized for central route processing or messages optimized for peripheral route processing. Eye-tracking devices were used to assess attention, which was the primary outcome. Message perceptions and the extent of persuasion (changes in physical activity determinants) were also assessed via self-report as secondary outcomes. Moderator effects were examined using interaction terms within mixed effects models and linear regression models. RESULTS: There were no detected interactions between condition and NFC for any of the study outcomes (all ps > .05). Main effects of personal relevance were observed for some self-report outcomes, with increased relevance associated with better processing outcomes. An interaction between need for cognition and personal relevance was observed for perceived behavioral control (p = 0.002); greater relevance was associated with greater perceived behavioral control for those with a higher need for cognition. CONCLUSION: Matching physical activity messages based on NFC may not increase intervention efficacy. Relevance of materials is associated with greater change in physical activity determinants and may be more so among those with a higher NFC.

Investigating Intraindividual Variability of Psychological Needs Satisfaction and Relations With Subsequent Physical Activity.

Heeding recent calls to capture dynamic variability of physical activity (PA) motivation within a self-determination theory framework, this study examined the extent to which psychological needs satisfaction in PA predicted subsequent PA, disaggregating within-person and between-persons data. University students (N = 89) wore an ActiGraph GT3X accelerometer for 6 days and reported basic psychological needs satisfaction daily. Multilevel models examined whether competence, autonomy, and relatedness for the previous day's PA (>2,020 counts per minute) predicted the following day's minutes of PA (>2,020 counts per minute), controlling for previous-day PA. Participants who, on average, reported greater feelings of autonomy and competence tended to engage in more minutes of PA the following day. When participants reported feeling greater relatedness than what was typical for them, they tended to engage in more PA the following day. Psychological needs vary day to day, but how and to what extent they predict PA depends on the specific need.

Internal locus of control buffers the impact of daily stressors on Australian Farmers' well-being: A cross-sectional study.

OBJECTIVE: Farmers are prone to poor well-being and are at higher risks of suicide than the general population. The aim of this study was to understand whether the negative impact of daily stressors on Australian farmers' well-being could be buffered through a strong internal locus of control - a strong sense of control over what happens in life. METHODS: Australian farmers self-reported their well-being, daily stress, and locus of control. DESIGN: Cross-sectional via pen-and-paper survey. SETTING: Participants completed the surveys at the beginning of agricultural management training courses. PARTICIPANTS: Australian farmers (N = 129, M age = 39 ± 12 years, 54.7% male). MAIN OUTCOME MEASURES: Internal and external locus of control, daily stress, and subjective well-being. RESULTS: More daily stressors were associated to poorer well-being, regardless of external locus of control; however, farmers with a stronger internal locus of control were buffered from the negative impacts of daily stressors. That is, daily stressors were not significantly associated with well-being for farmers with a strong internal locus of control. CONCLUSIONS: Internal locus of control may be a significant factor in supporting good well-being for farmers. Further research should investigate how to enhance internal locus of control amongst this population. It may be that interventions to enhance internal locus of control in farmers could improve their well-being and productivity, good outcomes for the individual farmers, and global society overall.

Bidirectional Relations Between Daily Stress and Sleep Among Black Emerging Adults.

BACKGROUND: Black adults experience higher levels of stress and more dysfunctional sleep patterns compared to their White peers, both of which may contribute to racial disparities in chronic health conditions. Dysfunctional sleep patterns are also more likely in emerging adults compared to other age groups. Daily stress-sleep relations in Black emerging adults are understudied. PURPOSE: This study used ecological momentary assessment (EMA) and wrist-worn actigraphy to examine bidirectional associations between daily stress and sleep among Black emerging adults. METHODS: Black college freshmen (N = 50) completed an EMA protocol (i.e., five EMA prompts/day) and wore an accelerometer for 7 days. The first EMA prompt of each day assessed sleep duration and quality. All EMA prompts assessed stress. Wrist-worn actigraphy assessed nocturnal sleep duration, sleep onset latency, sleep efficiency, and waking after sleep onset. RESULTS: At the within-person level, stress experienced on a given day was not associated with any sleep metrics that night (p > .05). On evenings when actigraphy-based sleep duration was shorter (B = -0.02, p = .01) and self-reported sleep quality was poorer (B = -0.12, p = .02) than usual, stress was greater the following day. At the between-person level, negative bidirectional relations existed between stress and actigraphy-based waking after sleep onset (stress predicting sleep: B = -0.35, p = .02; sleep predicting stress: B = -0.27, p = .04). CONCLUSIONS: Among Black emerging adults, associations between daily sleep and stress vary at the between- and within-person level and are dependent upon the sleep metric assessed. Future research should compare these relations across different measures of stress and different racial/ethnic groups to better understand health disparities.

Habit Facilitates Actioning Sun Protective Behavior Intentions.

Skin cancer is highly burdensome, but preventable with regular engagement in sun protective behaviors. Despite modest effectiveness of sun-protective behavior promotional efforts thus far, rates of engagement in sun-protective behaviors remain low. More is needed to understand motivation for using sunscreen, wearing sun-protective clothing, and seeking shade. This study tested whether the links of intention and habit strength with behavior differed between sun-protective behaviors. It was hypothesized that sun protective behaviors would be predicted by both habit and intention and that intention-behavior associations would be weaker for people with stronger habits. Participants residing in Queensland, Australia (N = 203; 75.96% female; M age = 37.16 years, SD = 14.67) self-reported their intentions and habit strength about sun-protective behavior for the next 7 days. Participants were followed-up 7 days later to self-report their sun-protective behavior. Multilevel modeling, accounting for nesting of multiple behaviors within-person, revealed that habit moderated the intention strength - behavior association and this moderation effect did not differ as a function of which behavior was being predicted. People with strong or moderate habit strength tended to act in line with their intentions; however, for people with very weak habits (2 SD < M), there was less alignment between their intention and behavior. These findings suggest that habit plays a facilitative role in the implementation of strong sun protective behavior intentions. Interventions should consider how to encourage intention and habit to enhance sun-protective behaviors and reduce the burden of skin cancer from sun exposure.Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.1903380 .

Positive Implicit Associations for Physical Activity Predict Physical Activity and Affective Responses During Exercise.

The purpose of this study was to investigate the relationships of implicit associations and explicit evaluations with affective responses during an aerobic exercise session, physical activity, and sedentary behavior in adults. Fifty adults (70% women; median age = 31 years; 25th, 75th percentiles: 24.50, 40.50 years old; body mass index = 25.29 ± 4.97 kg/m2) not engaged in regular physical activity completed an implicit association test and a questionnaire of explicit evaluations and wore an accelerometer for 7 days. After the 7-day period, the participants performed 30 min of moderate-intensity aerobic exercise. Every 5 min, the affective response and the perception of effort were recorded. Participants who had more positive implicit associations toward physical activity (vs. sedentary behavior) reported higher affective responses during exercise and engaged in more moderate to vigorous physical activity. Encouraging pleasant physical activity may act to partially improve future physical activity through automatic motivational processes.

Methods and design for the ADAPT study: Application of integrateD Approaches to understanding Physical activity during the Transition to emerging adulthood.

BACKGROUND: The overarching objective of the study is to obtain a comprehensive understanding of the salient factors predicting changes in physical activity (PA) during adolescents' transition into emerging adulthood. Using the Multi-Process Action Control model as our guiding framework, we will examine how implicit and explicit psychological processes along with regulatory practices impact PA change during this major life transition. Additionally, we will use a real-time data capture method called Ecological Momentary Assessment to further investigate how environmental and contextual factors, and momentary psychosocial influences effect PA patterns across this dynamic life stage. METHODS: The ADAPT study is a 4-year project comprised of two interrelated studies. Study I is a large prospective cohort study that will invite all grade 11 students across one large school board (a total of seven secondary schools) to participate by completing an online questionnaire. Using a cluster randomization approach, a subset of students from each school will be invited to participate in Study II, whereby participants will wear an accelerometer and complete Ecological Momentary Assessments 5 times a day over a 7-day study period. For both studies, following baseline assessments, there will be three annual follow-up assessments approximately 12 months apart. DISCUSSION: The current study represents one of the largest longitudinal cohort studies examining PA and its determinants and associated consequences among adolescents transitioning out of high school into emerging adulthood. Findings from this study will provide a much more in-depth understanding of how and why changes in PA behaviour occur across this first major life transition.

Barriers to healthy lifestyle behaviors in Australian nursing students: A qualitative study.

Studying at university is stressful, which can lead to unhealthy lifestyle behaviors. This study aimed to explore perceived reasons and barriers preventing Australian nursing students from engaging in a healthy lifestyle and strategies to overcome barriers. Fifty-four bachelor of nursing students participated in seven focus groups between July and November 2018. Participants defined healthy lifestyle behaviors as eating well; regular physical activity; regular water consumption; limiting alcohol, caffeine, and nicotine; good sleep quality; stress management and relaxation; and regular social interaction and support. They identified individual (lack of motivation, existing bad habits, lack of knowledge), environmental (time, finances, limited access to healthy food and physical activity resources), and psychosocial (competing priorities, increased learning cognitive load, lack of social interaction and support, compassion fatigue, and shift work) barriers preventing healthy lifestyle. Participants proposed several individual and system-related strategies to overcome barriers. Despite portraying a comprehensive understanding of healthy lifestyle behaviors, students reported finding difficulty in attaining healthy lifestyles. Strategies proposed by students may inform targeted interventions aiming to increase overall health of students, reduce attrition rates, and promote workforce retention post-graduation.

How we are misinterpreting physical activity intention - behavior relations and what to do about it.

BACKGROUND: Studies of the physical activity intention-behavior gap, and factors that may moderate the gap (e.g., habit, perceived behavioral control), can inform physical activity promotion efforts. Yet, these studies typically apply linear modeling procedures, and so conclusions rely on linearity and homoscedasticity assumptions, which may not hold. METHODS: We modelled and plotted physical activity intention-behavior associations and the moderation effects of habit using simulated data based on (a) normal distributions with no shared variance, (b) correlated parameters with normal distribution, and (c) realistically correlated and non-normally distributed parameters. RESULTS: In the uncorrelated and correlated normal distribution datasets, no violations were unmet, and the moderation effects applied across the entire data range. However, because in the realistic dataset, few people who engaged in physical activity behavior had low intention scores, the intention-behavior association was non-linear, resulting in inflated linear moderation estimations of habit. This finding was replicated when tested with intention-behavior moderation of perceived behavioral control. CONCLUSIONS: Comparisons of the three scenarios illustrated how an identical correlation coefficient may mask different types of intention-behavior association and moderation effects. These findings highlight the risk of misinterpreting tests of the intention-behavior gap and its moderators for physical activity due to unfounded statistical assumptions. The previously well-documented moderating effects of habit, whereby the impact of intention on behavior weakens as habit strength increases, may be based on statistical byproducts of unmet model assumptions.

Is sitting invisible? Exploring how people mentally represent sitting.

BACKGROUND: Growing evidence suggests that prolonged uninterrupted sitting can be detrimental to health. Much sedentary behaviour research is reliant on self-reports of sitting time, and sitting-reduction interventions often focus on reducing motivation to sit. These approaches assume that people are consciously aware of their sitting time. Drawing on Action Identification Theory, this paper argues that people rarely identify the act of sitting as 'sitting' per se, and instead view it as an incidental component of more meaningful and purposeful typically-seated activities. METHODS: Studies 1 and 2 explored whether people mentioned sitting in written descriptions of actions. Studies 3-5 compared preferences for labelling a typically desk-based activity as 'sitting' versus alternative action identities. Studies 6 and 7 used card-sort tasks to indirectly assess the prioritisation of 'sitting' relative to other action descriptions when identifying similar actions. RESULTS: Participants rarely spontaneously mentioned sitting when describing actions (Studies 1-2), and when assigning action labels to a seated activity, tended to offer descriptions based on higher-order goals and consequences of action, rather than sitting or other procedural elements (Studies 3-5). Participants primarily identified similarities in actions based not on sitting, but on activities performed while seated (e.g. reading; Studies 6-7). CONCLUSION: 'Sitting' is a less accessible cognitive representation of seated activities than are representations based on the purpose and implications of seated action. Findings suggest that self-report measures should focus on time spent in seated activities, rather than attempting to measure sitting time via direct recall. From an intervention perspective, findings speak to the importance of targeting behaviours that entail sitting, and of raising awareness of sitting as a potential precursor to attempting to reduce sitting time.

Cognitive resources moderate the adverse impact of poor perceived neighborhood conditions on self-reported physical activity of older adults.

Poor neighborhood conditions are associated with lower levels of physical activity for older adults but socio-ecological models posit that physical activity depends on both environmental and individual factors. Older adults' ability to overcome environmental barriers to physical activity may partially rely on cognitive resources. However, evidence on the moderating role of these cognitive resources in the associations between environmental barriers and physical activity is still lacking. We analyzed cross-national and longitudinal data on 28,393 adults aged 50 to 96 years as part of the SHARE. Lack of access to services and neighborhood nuisances were used as indicators of poor neighborhood conditions. Delayed recall and verbal fluency were used as indicators of cognitive resources. Confounder-adjusted generalized estimation equations were conducted to test associations between neighborhood conditions and self-reported moderate physical activity, as well as the moderating role of cognitive resources. Results showed that poor neighborhood conditions reduced the odds of engagement in physical activity. Cognitive resources robustly reduced the adverse influence of poor neighborhood conditions on physical activity. Participants with lower cognitive resource scores showed lower odds of engaging in physical activity when neighborhood conditions were poorer, whereas these conditions were not related to this engagement for participants with higher cognitive resource scores. These findings suggest that cognitive resources can temper the detrimental effect of poor neighborhood conditions on physical activity. Public policies should target both individual and environmental factors to tackle the current pandemic of physical inactivity more comprehensively.

Should I sit or stand: likelihood of adherence to messages about reducing sitting time.

BACKGROUND: High population levels of sitting is contributing to high rates of chronic health problems. Therefore, the aim of this study was to identify the sitting time messages with the greatest potential to reduce sitting behaviour, as well as identify how this may differ according to demographic, behavioural and psychosocial characteristics. METHODS: Australian adults (N = 1460) were asked to report the likelihood that they would adhere to seven messages promoting reduced sitting time and two messages promoting increased physical activity (from 'not at all likely' to 'very likely'). Ordinal regression models were used to compare messages on the likelihood of adherence and whether likelihood of adherence differed as a function of demographic, psychosocial and behavioural characteristics. RESULTS: Likelihood of adherence was highest for the messages, 'Stand and take a break from sitting as frequently as you can' (83% respectively) and 'Avoid sitting for more than 10 hours during the entire day' (82%) and was significantly lower for the message, 'Sit as little as possible on all days of the week' (46%) compared to all other messages. CONCLUSIONS: To increase likelihood of adherence messages should be specific, achievable and promote healthy alternatives to sitting (e.g. standing). Messages promoting standing as a healthy alternative to sitting may be more likely to engage people with high sitting behaviour and messages promoting physical activity may be more likely to engage males and retired adults.

Validity and responsiveness to change of the Active Australia Survey according to gender, age, BMI, education, and physical activity level and awareness.

BACKGROUND: This study aimed to investigate the validity of the Active Australia Survey across different subgroups and its responsiveness to change, as few previous studies have examined this. METHODS: The Active Australia Survey was validated against the ActiGraph as an objective measure of physical activity. Participants (n = 465) wore the ActiGraph for 7 days and subsequently completed the Active Australia Survey. Moderate activity, vigorous activity and total moderate and vigorous physical activity were compared using Spearman rank-order correlations. Changes in physical activity between baseline and 3-month assessments were correlated to examine responsiveness to change. The data were stratified to assess outcomes according to different subgroups (e.g., gender, age, weight, activity levels). RESULTS: With regards to the validity, a significant correlation of ρ = 0.19 was found for moderate physical activity, ρ = 0.33 for vigorous physical activity and ρ = 0.23 for moderate and vigorous physical activity combined. For vigorous physical activity correlations were higher than 0.3 for most subgroups, whereas they were only higher than 0.3 in those with a healthy weight for the other activity outcomes. With regards to responsiveness to change, a correlation of ρ = 0.32 was found for moderate physical activity, ρ = 0.19 for vigorous physical activity and ρ = 0.35 for moderate and vigorous physical activity combined. For moderate and vigorous activity combined correlations were higher than 0.4 for several subgroups, but never for vigorous physical activity. CONCLUSIONS: Little evidence for the validity of Active Australia Survey was found, although the responsiveness to change was acceptable for several subgroups. Findings from studies using the Active Australia Survey should be interpreted with caution. TRIAL REGISTRATION: World Health Organisation Universal Trial Number: U111-1119-1755. Australian New Zealand Clinical Trials Registry, ACTRN12611000157976 . Registration date: 8 March 2011.

A Test of How Australian Adults Allocate Time for Physical Activity.

The most common reported barrier to physical activity is a lack of sufficient time. Just like most resources in economics are finite, so too is time within a day. We utilized a time-utility model to better understand how people are allocating time for physical activity. Additionally, we tested whether the allocation of physical activity time impacts people's perception of "lack of time" as a barrier for physical activity or their likelihood of being sufficiently physical active. Australian adults (N = 725 participants, 54% men) reported their time use throughout their day, perceived lack of time as a barrier to activity, and physical activity. Cluster analysis and χ2-tests were used to test the study research questions. People tended to either be entirely inactive (29%) or active while doing either leisure (18%), occupation (18%), transport (14%), or household (22%) activities. Those who were active during their leisure or transport time were most likely to be sufficiently active. There were no significant differences among clusters in how much people perceived that lack of time was a physical activity barrier. The commonly reported barrier of not having enough time to be active might be a fallacy. Although a lack of time is a commonly reported barrier of physical activity, these findings bring to light that increasing physical activity behavior is not as simple as adding more time to the day.

Physical Activity Attitudes, Preferences, and Experiences of Regionally-Based Australia Adults Aged 65 Years and Older.

An understanding of physical activity attitudes, preferences, and experiences in older adults is important for informing interventions. Focus groups were conducted with 46 regionally-based Australian adults aged 65 years and older, who were not currently meeting activity recommendations. Content analysis revealed that participants mainly engaged in incidental activities such as gardening and household chores rather than planned exercise; however, leisure-time walking was also mentioned frequently. Although participants valued the physical and mental health benefits of physical activity, they reported being restricted by poor physical health, extreme weather, and fear of injury. Participants were interested in exercise groups and physical activity programs tailored to their existing physical health. The majority of participants reported preferring to be active with others. The findings from this study are useful in for informing future interventions specifically tailored to the needs of older adults in Australia.

Age differences in physical activity intentions and implementation intention preferences.

This study aimed to examine older adults' physical activity intentions and preferred implementation intentions, and how intentions and preferred implementation intentions differ between older, middle aged and younger adults. A cross-sectional Australian wide telephone survey of 1217 respondents was conducted in 2016. Multiple and ordinal regression analyses were conducted to compare intentions and preferred implementation intentions between older (65 +), middle aged (45-64) and younger adults (< 45). A higher percentage of older adults had no intentions to engage in regular physical activity within the next 6 months (60%) compared to younger adults (25%). Older adults' most popular preferences included being active at least once a day and for 30 min or less and were more likely to prefer more frequent and shorter sessions compared to younger adults. Both older and middle aged adults were more likely to prefer slower paced physical activity compared to younger adults who preferred fast paced physical activity. Physical activity interventions for older adults should address the high percentage of older adults with no intentions and public health campaigns for older adults should promote 30 min daily sessions of slow paced activity.

The Effectiveness of a Web-Based Computer-Tailored Physical Activity Intervention Using Fitbit Activity Trackers: Randomized Trial.

BACKGROUND: Web-based interventions that provide personalized physical activity advice have demonstrated good effectiveness but rely on self-reported measures of physical activity, which are prone to overreporting, potentially reducing the accuracy and effectiveness of the advice provided. OBJECTIVE: This study aimed to examine whether the effectiveness of a Web-based computer-tailored intervention could be improved by integrating Fitbit activity trackers. METHODS: Participants received the 3-month TaylorActive intervention, which included 8 modules of theory-based, personally tailored physical activity advice and action planning. Participants were randomized to receive the same intervention either with or without Fitbit tracker integration. All intervention materials were delivered on the Web, and there was no face-to-face contact at any time point. Changes in physical activity (Active Australia Survey), sitting time (Workforce Sitting Questionnaire), and body mass index (BMI) were assessed 1 and 3 months post baseline. Advice acceptability, website usability, and module completion were also assessed. RESULTS: A total of 243 Australian adults participated. Linear mixed model analyses showed a significant increase in total weekly physical activity (adjusted mean increase=163.2; 95% CI 52.0-274.5; P=.004) and moderate-to-vigorous physical activity (adjusted mean increase=78.6; 95% CI 24.4-131.9; P=.004) in the Fitbit group compared with the non-Fitbit group at the 3-month follow-up. The sitting time and BMI decreased more in the Fitbit group, but no significant group × time interaction effects were found. The physical activity advice acceptability and the website usability were consistently rated higher by participants in the Fitbit group. Non-Fitbit group participants completed 2.9 (SD 2.5) modules, and Fitbit group participants completed 4.4 (SD 3.1) modules. CONCLUSIONS: Integrating physical activity trackers into a Web-based computer-tailored intervention significantly increased intervention effectiveness. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12616001555448; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=371793 (Archived by WebCite at http://www.webcitation.org/73ioTxQX2).

Testing a Model of Successful Aging in a Cohort of Masters Swimmers.

Due to their high physical functioning, masters athletes are regularly proposed to exemplify successful aging. However, successful aging research on masters athletes has never been undertaken using a multidimensional successful aging model. To determine the best model for future successful aging research on masters athletes, we had masters swimmers (N = 169, M age = 57.4 years, 61% women) self-report subjective successful aging, and physical, psychological, cognitive, and social functioning. Using this data we tested one hypothesized and three alternative successful aging models. The hypothesized model fit the data best (-2LL = 2052.32, AIC = 1717) with physical (ß = 0.31, SE = 0.11), psychological (ß = 0.25, SE = 0.11), and social (ß = 1.20, SE = 0.63) functioning factors significantly loading onto a higher order successful aging latent factor. Successful aging should be conceptualized as a multidimensional phenomenon in future masters athlete research.