Conceptualizing and intervening on affective determinants of health behaviour

Williams, David M.; Rhodes, Ryan E.; Conner, Mark

doi:10.1080/08870446.2019.1675659

Cited by 71 publications

(74 citation statements)

References 93 publications

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“…In this context, our preliminary finding that momentary mood predicted subsequent sedentary behavior may serve as a starting point that regulation of mood could be beneficial as an additional intervention strategy. According to Williams and colleagues integrative framework, 20 following three routes may crucial for health behavior change. First, direct modification of specific affect constructs, for example, to reduce dread about possible adverse health consequences of “too much sitting.” Second, intervention upon moderators of the affect‐behavior link, for example, to address habits of sitting through daily work.…”

Section: Discussionmentioning

confidence: 99%

“…Based on previous studies 10,11 and theoretical considerations, 20‐23 we hypothesized that on a between‐subject level lower mood ratings of valence, calmness, and energetic arousal would relate to higher amounts of device‐based assessment of sedentary behavior (hypothesis 1a). Additionally, we hypothesized that lower questionnaire‐based mood ratings would predict higher amounts of self‐reported sedentary time (hypothesis 1b).…”

Section: Introductionmentioning

confidence: 99%

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Momentary mood predicts upcoming real‐life sedentary behavior

Giurgiu

Plotnikoff

Nigg

et al. 2020

Scandinavian Med Sci Sports

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Humans in the industrialized world spend a large amount of daily time in sedentary behavior. Since sedentariness negatively impacts a variety of psychophysiological outcomes, the identification of antecedents that lead to sedentary behavior is an important public health issue. In this context, mood, a central indicator for both psychological well‐being and mental health, is severely understudied. To investigate whether mood dimensions influence subsequent sedentary behavior, we assessed both constructs at baseline via questionnaires and via ambulatory assessment (AA) over 5 days in 92 university employees. We continuously measured sedentary behavior using accelerometers and assessed mood repeatedly 10 times each day on smartphone diaries. We employed multiple regression analyses to analyze between‐subject effects and multilevel modeling to analyze within‐subject effects. Higher momentary ratings of valence (P < .05) and energetic arousal (P < .01) predicted lower amounts of subsequent sedentary behavior, whereas higher ratings of calmness (P < .01) predicted higher amounts of subsequent sedentary behavior. The context moderated the effect of energetic arousal and calmness on sedentary behavior with increased effects in the home compared to the work context. Mood significantly predicted sedentary behavior on a within‐subject level but not on a between‐subject level. Preliminary evidence suggests that mood regulates sedentary behavior in everyday life. Time‐sensitive analyses, such as from moment to moment revealed an association between mood and sedentary behavior (within‐subject), whereas analyses between different individuals revealed no associations (between‐subject). These preliminary findings may inform multicomponent intervention strategies that target mood, to reduce sedentary behavior in daily life.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Momentary mood predicts upcoming real‐life sedentary behavior

Giurgiu

Plotnikoff

Nigg

et al. 2020

Scandinavian Med Sci Sports

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“…The determinants of health are changing from the approach of finding the causes in diseases or human behaviors to social and environmental approaches. Behavior-based approaches focus on changing individual knowledge, attitudes, and behavior; social and environmental approaches are interested in community-based environments, institutions, and policies, emphasizing participation in health promotion activities, cooperation with other sectors, and various other strategies [20][21][22].…”

Section: Health Promotion Projectmentioning

confidence: 99%

A Proposal for Public Health Information System-Based Health Promotion Services

Yoon¹,

Park²,

solji³

et al. 2020

Processes

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This study aims to examine the current status and utilization of 22 health promotion projects that use the health care information system. We investigate the health promotion examination results for a counseling project held at health centers, which use information connected with the Health Insurance Corporation. First, we review the status of 22 health promotion projects, including 13 integrated health promotion projects and 9 other health promotion projects. Next, we examine the linkages between the 22 projects and other health promotion systems. Consequently, despite accumulating vast amounts of data, only 10 places could be linked to health promotion data in the health and medical information system; the Social Security Information Service was the only exception to this trend. The Public Health Information System (PHIS) had the lowest data utilization rate in the project. The study results show that it is necessary to utilize data from local health and medical institutions in order to provide information system-based health promotion services. In particular, it seems to be effective when health and medical institutions provided various counseling services and other linked services to local residents in connection with the Korea Health Insurance Corporation’s health examination results.

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“…An exception seems to be Self-Determination Theory, (SDT), in which intrinsic motivation largely overlaps with craving/desire (9), and a lack of desire is a central feature of amotivation (5). Interventions based on cognitive constructs typically have low impact, as gauged by small effect sizes (10), and they have "modest utility as mechanisms of behavior change" (11).…”

Section: Introductionmentioning

confidence: 99%

“…More recently, models have emerged that incorporate both conscious and unconscious, affective and deliberative factors affecting muscular movement in the present moment. Dual process theories, such as the Affect and Health Behavior Framework (AHBF), clearly articulate the role of desires and cravings in instigating various health behaviors, such as exercise and smoking (9,11). This model also highlights the central role of hedonic motivation.…”

Section: Introductionmentioning

confidence: 99%

Motivation States for Physical Activity and Sedentary Behavior: Desire, Urge, Wanting and Craving

Stults‐Kolehmainen¹,

Blacutt²,

Bartholomew³

et al. 2020

Preprint

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To better explain daily fluctuations in physical activity and sedentary behavior, investigations of motivation are turning from cognitive-based theories, such as Self-Determination Theory, to those centered on affect and emotion, such as the Affect and Health Behavior Framework (AHBF) and Affective-Reflective Theory (ART). This shift necessitates: a) a re-examination of older frameworks to understand ill-defined concepts, such as the action impulse and tensions and b) an inspection of competing theories from other fields that also attempt to explain dynamic changes in other health behaviors. The Dynamical Model of Desire and Elaborated Intrusion Theory commonly share with AHBF the idea that human behavior is driven strongly by desires and/or the similar concepts of wants, urges and cravings. These affectively charged motivational states change quickly and may better explain physical activity behavior from one moment to the next. Data from clinical populations with movement dysfunction or psychiatric disorders provides further evidence of these drivers of movement. Those with Restless Legs Syndrome, Akathisia, tic disorders and exercise dependence all report strong urges to move and relief when it is accomplished. Motor control research has identified centers of the brain responsible for wants and urges, mainly it seems that the inferior parietal lobule is mainly responsible for “wanting to move” while the “mesial precentral area” is responsible for the “urge to move”. Models elaborated herein differentiate between wants, desires and urges. They also conceptualize desires for movement and rest as varying by intensity, approach-orientation and as occupying independent dimensions as opposed to opposite ends of the same axis. For instance, one hypothetically might be in a state of both high desire for move and rest simultaneously. Variations in move and rest may also be associated with various stress states, like freezing or fight and flight. The first validated instrument to measure feelings of desire/want for movement and rest, the CRAVE Scale (Cravings for Rest and Volitional Energy Expenditure) is in the current section of this special issue. With these advances in theory, conceptual modelling and instrumentation, future investigations may explore the effects of desires and urges for movement and sedentary behavior in earnest.

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Conceptualizing and intervening on affective determinants of health behaviour

Cited by 71 publications

References 93 publications

Momentary mood predicts upcoming real‐life sedentary behavior

Momentary mood predicts upcoming real‐life sedentary behavior

A Proposal for Public Health Information System-Based Health Promotion Services

Motivation States for Physical Activity and Sedentary Behavior: Desire, Urge, Wanting and Craving

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