Mean Affect Moderates the Association between Affect Variability and Mental Health.

Increasing evidence suggests that within-person variation in affect is a dimension distinct from mean levels along which individuals can be characterized. This study investigated affect variability's association with concurrent and longitudinal mental health and how mean affect levels moderate these associations. The mental health outcomes of depression, panic disorder, self-rated mental health, and mental health professional visits from the second and third waves of the Midlife in the United States Study were used for cross-sectional (n = 1,676) and longitudinal outcomes (n = 1,271), respectively. These participants took part in the National Study of Daily Experiences (NSDE II), where they self-reported their affect once a day for 8 days, and this was used to compute affect mean and variability. Greater positive affect variability cross-sectionally predicted a higher likelihood of depression, panic disorder, mental health professional use, and poorer self-rated mental health. Greater negative affect variability predicted higher panic disorder probability. Longitudinally, elevated positive and negative affect variability predicted higher depression likelihood and worse self-rated mental health over time, while greater positive affect variability also predicted increased panic disorder probability. Additionally, mean affect moderated associations between variability and health such that variability-mental health associations primarily took place when mean positive affect was high (for concurrent mental health professional use and longitudinal depression) and when mean negative affect was low (for concurrent depression, panic disorder, self-rated mental health, and longitudinal self-rated mental health). Taken together, affect variability may have implications for both short- and long-term health and mean levels should be considered. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-024-00238-0.

Affect variability and cortisol in context: The moderating roles of mean affect and stress.

Positive and negative affect have been shown to have implications for hormones like cortisol but how moment to moment changes in affect (i.e., affect variability) influence cortisol secretion is less well understood. Additionally, context characteristics such as mean affect and stress may influence the association between affect variability and cortisol output. In the current study, we examined affect, stress, and cortisol data from 113 participants (age range = 25-63, M = 35.63, SD = 11.34; 29% male; 42% White/Caucasian, 37% Asian or Pacific Islander, 13% Hispanic/Latino, 4% Black/African American, 1% Native American, Eskimo, or Aleut, 4% selected "other" for their race/ethnicity). Participants completed ecological momentary assessments assessing positive and negative affect and stress four times per day for five days and provided saliva samples at each time point. Saliva was assayed for cortisol, and area under the curve with respect to ground was computed. In a three-way interaction, both positive affect mean level and stress moderated the association between positive affect variability and cortisol (b = -1.55, t(100) = -3.29, SE = 0.47, p <.01, ß = -4.05). When breaking down this three-way interaction, in the context of low stress and high mean positive affect, variability was positively related to total cortisol output. In contrast, in the context of high stress and high mean positive affect, variability was negatively related to total cortisol output. While greater positive affect variability is generally worse for health-relevant outcomes (as prior research has shown and as we show here at low levels of stress), at high levels of stress, fluctuation in affect may be adaptive. For someone experiencing a high stress week, having fluctuations in positive affect may mean that they are adaptively changing to meet their environmental needs especially when they typically report high mean positive affect levels. There were no associations between negative affect variability and cortisol secretion nor did mean negative affect or stress play a moderating role for negative affect variability. This study provides evidence that positive affect variability's association with cortisol secretion throughout the day may vary based on stress and mean positive affect levels.

Affect variability and physical health: The moderating role of mean affect.

Research has only begun to explore how affect variability relates to physical health and has typically not assessed long-term associations nor considered the moderating role of mean affect. Therefore, we used data from the Midlife in the United States Study waves 2 (N = 1512) and 3 (N = 1499) to test how affect variability predicted concurrent and long-term physical health while also testing the moderating role of mean affect. Results indicated that greater negative affect variability was associated concurrently with a greater number of chronic conditions (p = .03) and longitudinally with worse self-rated physical health (p < .01). Greater positive affect variability was associated concurrently with more chronic conditions (p < .01) and medications (p < .01) and longitudinally with worse self-rated physical health (p = .04). Further, mean negative affect played a moderating role such that at lower levels of mean negative affect, as affect variability increased, so did the number of concurrent chronic conditions (p < .01) and medications (p = .03) and the likelihood of reporting worse long-term self-rated physical health (p < .01). Thus, the role of mean affect should be considered when testing short- and long-term associations between affect variability and physical health.

Sleep Quality Moderates the Relationship Between Daily Mean Levels and Variability of Positive Affect.

Despite the well-established bidirectional association between sleep and daytime affect, most studies examining this relationship have focused on mean levels of affect. However, research solely focusing on mean levels of affect inherently neglects variability in affect, which has been shown to predict both psychological and physical well-being beyond mean levels. The present study assessed sleep quality and daytime affect using ecological momentary assessment in a combined sample of individuals (N = 80; 8,881 observations) with and without anxiety and mood disorders. Results from the present study partially replicated extant work on the negative association between negative affect (NA) variability and subsequent sleep quality. Furthermore, less satisfying sleep amplified the positive relationship between daily mean levels and variability of positive affect (PA). The results did not differ by clinical status. The present study offers novel evidence suggesting that previous night's sleep quality influences the stability of varying daily levels of PA. Uncovering the dynamics of sleep and affect beyond mean levels will help further elucidate mechanisms linking sleep and subsequent affective experiences.

Sleep, Affect, and Emotion Reactivity in First-Year College Students: A Daily Diary Study.

BACKGROUND: Sleep is an important factor in well-being, especially during the transition to college when academic and social commitments increase. Identifying factors that contribute to poor sleep (including short duration and increased variability in duration) can support development of interventions. Affect and emotion reactivity are factors that could contribute to sleep, and have not been studied in relation to sleep variables among first-year college students during their adjustment to the college environment. This adjustment might be difficult for some students, and therefore elicit affect fluctuations that contribute to poor sleep. Alternatively, sleep could contribute to daily affect. The present daily diary study examined bidirectional relations between daily sleep and affect, as well as between emotion reactivity and sleep (duration and variability) and affect (daily and overall variability) in first-year college students. METHOD: First-year college students (n = 244; 86.1% female) completed a baseline survey including measures of emotion reactivity and anxiety and depressive symptoms, followed by 7 days of a once-per-day diary, reporting on their affect and sleep duration. RESULTS: On days when individuals reported increased sleep duration, they also tended to experience greater positive affect the following day (p = .01). Those who experienced high levels of emotion reactivity also experienced more negative affect (p < .001) and negative affect variability (p < .001). CONCLUSION: Emotion reactivity might identify college students who experience more negative affect and are possibly at risk to develop mental health disorders. The importance of sleep health should continue to be emphasized to students as they transition to college.

Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life.

Background: The waxing and waning of negative affect in daily life is normative, reflecting an adaptive capacity to respond flexibly to changing circumstances. However, understanding of the brain structure correlates of affective variability in naturalistic settings has been limited. Using network control theory, we examine facets of brain structure that may enable negative affect variability in daily life. Methods: We used diffusion-weighted imaging data from 95 young adults (age [in years]: mean = 20.19, SD = 1.80; 56 women) to construct structural connectivity networks that map white matter fiber connections between 200 cortical and 14 subcortical regions. We applied network control theory to these structural networks to estimate the degree to which each brain region's pattern of structural connectivity facilitates the spread of activity to other brain systems. We examined how the average controllability of functional brain systems relates to negative affect variability, computed by taking the standard deviation of negative affect self-reports collected via smartphone-based experience sampling twice per day over 28 days as participants went about their daily lives. Results: We found that high average controllability of the cingulo-insular system is associated with increased negative affect variability. We also found that greater negative affect variability is related to the presence of more depressive symptoms, yet average controllability of the cingulo-insular system was not associated with depressive symptoms. Conclusions: Our results highlight the role that brain structure plays in affective dynamics as observed in the context of daily life, suggesting that average controllability of the cingulo-insular system promotes normative negative affect variability.

Sleep Patterns and Affect Dynamics Among College Students During the COVID-19 Pandemic: Intensive Longitudinal Study.

BACKGROUND: Sleep disturbance is a transdiagnostic risk factor that is so prevalent among young adults that it is considered a public health epidemic, which has been exacerbated by the COVID-19 pandemic. Sleep may contribute to mental health via affect dynamics. Prior literature on the contribution of sleep to affect is largely based on correlational studies or experiments that do not generalize to the daily lives of young adults. Furthermore, the literature examining the associations between sleep variability and affect dynamics remains scant. OBJECTIVE: In an ecologically valid context, using an intensive longitudinal design, we aimed to assess the daily and long-term associations between sleep patterns and affect dynamics among young adults during the COVID-19 pandemic. METHODS: College student participants (N=20; female: 13/20, 65%) wore an Oura ring (Oura Health Ltd) continuously for 3 months to measure sleep patterns, such as average and variability in total sleep time (TST), wake after sleep onset (WASO), sleep efficiency, and sleep onset latency (SOL), resulting in 1173 unique observations. We administered a daily ecological momentary assessment by using a mobile health app to evaluate positive affect (PA), negative affect (NA), and COVID-19 worry once per day. RESULTS: Participants with a higher sleep onset latency (b=-1.09, SE 0.36; P=.006) and TST (b=-0.15, SE 0.05; P=.008) on the prior day had lower PA on the next day. Further, higher average TST across the 3-month period predicted lower average PA (b=-0.36, SE 0.12; P=.009). TST variability predicted higher affect variability across all affect domains. Specifically, higher variability in TST was associated higher PA variability (b=0.09, SE 0.03; P=.007), higher negative affect variability (b=0.12, SE 0.05; P=.03), and higher COVID-19 worry variability (b=0.16, SE 0.07; P=.04). CONCLUSIONS: Fluctuating sleep patterns are associated with affect dynamics at the daily and long-term scales. Low PA and affect variability may be potential pathways through which sleep has implications for mental health.

Associations Between Intraindividual Variability in Sleep and Daily Positive Affect.

Recent research highlights a variety of negative outcomes associated with intraindividual variability in positive affect (PA) and in sleep. Thus, this study examined the associations of variability in multiple dimensions of sleep (quality, duration, wake after sleep onset, bedtime, rise-time) with mean and variability in PA. For 7 days, morning and evening surveys were collected online from two separate samples: community-based adults (N = 911) and university students (N = 322). Regression analyses revealed that across both samples, people with more variable sleep quality exhibited greater fluctuations in PA throughout the week and, surprisingly, higher levels of PA on average. In the community sample only, individuals with more variable sleep duration had lower and more variable PA. Findings suggest that fluctuations in sleep quality and duration are linked with daily PA outcomes, which is important to consider as technological advances and modern demands make inadequate and irregular sleep increasingly common. Supplementary Information: The online version contains supplementary material available at 10.1007/s42761-021-00082-6.

The Influence of Leisure Engagement on Daily Emotional Well-being.

Leisure engagement is believed to offer emotional benefits. However, relatively few studies have examined how leisure engagement influences emotional well-being in the context of individuals' everyday lives. The current study examined the associations between leisure engagement and daily emotional well-being, as measured by participants' mean levels of positive affect (PA), PA variability, and PA reactivity to stressors. Using smartphones, participants (n = 176) completed ecological momentary assessments (EMAs) 5 times per day for 14 consecutive days. The Pearson correlations indicated that the participants who engaged in leisure more frequently experienced higher mean levels of PA and lower PA variability in daily life compared to those with less frequent leisure engagement. However, multilevel models indicated that individuals' differences in frequency of leisure engagement did not influence their emotional reactivity in response to daily stressors. The findings extend the importance of leisure engagement to consider the dynamics of daily emotional well-being.

Daily Stressors, Emotion Dynamics, and Inflammation in the MIDUS Cohort.

BACKGROUND: The current study (1) examined links between daily stressors and inflammation and (2) tested whether negative emotion dynamics (emotional variability) is one pathway through which stressors are linked to inflammation. METHOD: A cross-sectional sample of 986 adults (aged 35-86 years, 57% female) from MIDUS reported daily stressor frequency and severity and negative emotions on 8 consecutive nights. Negative emotion variability (intraindividual standard deviation), controlling for overall mean level (intraindividual mean), was the focus of the current study. Interleukin-6 (IL-6) and C-reactive protein (CRP) were assayed from blood drawn at a clinic visit. Regression models adjusted for demographics, health factors, and the time between assessments. RESULTS: More severe daily stressors were associated with higher CRP, but this effect was accounted for by covariates. More frequent daily stressors were associated with lower IL-6 and CRP. In follow-up analyses, significant interactions between stressor severity and frequency suggested that participants with lower stressor severity and higher stressor frequency had the lowest levels of IL-6 and CRP, whereas those with higher stressor severity had the highest levels of IL-6 and CRP, regardless of frequency. Daily stressor frequency and severity were positively associated with negative emotion variability, but variability was not linearly associated with inflammation and did not operate as a mediator. CONCLUSION: Among midlife and older adults, daily stressor frequency and severity may interact and synergistically associate with inflammatory markers, potentially due to these adults being advantaged in other ways related to lower inflammation, or in a pattern aligning with hormetic stress, where frequent but manageable stressors may yield physiological benefits, or both. Negative emotion variability does not operate as a mediator. Additional work is needed to reliably measure and test other emotion dynamic metrics that may contribute to inflammation.

Affect fluctuations examined with ecological momentary assessment in patients with current or remitted depression and anxiety disorders.

BACKGROUND: There is increasing interest in day-to-day affect fluctuations of patients with depressive and anxiety disorders. Few studies have compared repeated assessments of positive affect (PA) and negative affect (NA) across diagnostic groups, and fluctuation patterns were not uniformly defined. The aim of this study is to compare affect fluctuations in patients with a current episode of depressive or anxiety disorder, in remitted patients and in controls, using affect instability as a core concept but also describing other measures of variability and adjusting for possible confounders. METHODS: Ecological momentary assessment (EMA) data were obtained from 365 participants of the Netherlands Study of Depression and Anxiety with current (n = 95), remitted (n = 178) or no (n = 92) DSM-IV defined depression/anxiety disorder. For 2 weeks, five times per day, participants filled-out items on PA and NA. Affect instability was calculated as the root mean square of successive differences (RMSSD). Tests on group differences in RMSSD, within-person variance, and autocorrelation were performed, controlling for mean affect levels. RESULTS: Current depression/anxiety patients had the highest affect instability in both PA and NA, followed by remitters and then controls. Instability differences between groups remained significant when controlling for mean affect levels, but differences between current and remitted were no longer significant. CONCLUSIONS: Patients with a current disorder have higher instability of NA and PA than remitted patients and controls. Especially with regard to NA, this could be interpreted as patients with a current disorder being more sensitive to internal and external stressors and having suboptimal affect regulation.

Violence exposure, posttraumatic stress, and affect variability among African American Youth: A time sampling approach.

The current study examines the immediate and short-term impact of daily exposure to community violence on same-day and next-day levels of posttraumatic stress symptomatology and various affective states (i.e., dysphoria, hostility, and anxiety), in a sample of 268 African American adolescents living in urban, low-income, high-violence neighborhoods (Mage = 11.65; 59% female). In addition, the moderating role of affective state variability on this relationship was examined. This study utilized experience sampling method and a daily sampling approach, which contributes a more robust investigation of the short-term effects of violence exposure in youth. Hierarchical linear modeling revealed that community violence exposure was positively associated with same-day and next-day symptoms of posttraumatic stress. Violence exposure also exhibited an immediate effect on dysphoria, anxiety, and hostility levels. Youth variability in dysphoria exacerbated the effect of violence exposure on concurrent or next-day posttraumatic stress, dysphoria, and hostility. Moreover, variability in anxiety and hostility exacerbated the experience of next-day hostility. The clinical implications relating to these findings, such as the importance of implementing screening for posttraumatic stress following exposure, the incorporation of preventative treatments among those at risk of exposure, and the targeting of emotion regulation in treatments with adolescents, are discussed.

Keeping Calm and Carrying On: Relating Affect Spin and Pulse to Complex Skill Acquisition and Adaptive Performance.

The purpose of this laboratory study involving repeated measures of emotion as 214 undergraduates (58.4% male) learned a complex video game was to address the need for empirical research on dynamic personality constructs by examining how two aspects of affect variability-spin and pulse-explain variance in skill acquisition and adaptive performance. Spin refers to within-person fluctuations in affect pleasantness and activation potential. Pulse refers to within-person fluctuations in affect intensity. Despite research showing high affect variability reflects a personality profile of heighted reactivity to emotionally charged events and poor adjustment, little empirical research has examined their relationships with behavioral outcomes, much less aspects of skilled performance. Compared to traditional measures of personality, which yield weak effects for predicting acquisition and adaptive performance, measures of affect variability hold considerable promise because they, like performance, reflect dynamic within-person phenomena. Accordingly, the main question addressed by this study was whether spin and pulse incrementally explain acquisition and adaptive performance beyond Big Five measures of personality. In general, we expected harmful, incremental effects for both spin and pulse, and hypothesized two mechanisms for these harmful effects: (1) by undermining effort and (2) by undermining the effort-performance relationship. Using a task-change paradigm and discontinuous growth modeling that disentangled adaptation from acquisition, results showed that affect variability, independent of the Big Five, produced harmful effects via both hypothesized mechanisms. Participants higher in affect spin and pulse showed less sustained effort across performance sessions and exhibited lower performance. Furthermore, the harmful effects of spin and pulse were stronger in adaptation compared to acquisition, with pulse showing stronger direct effects on performance during adaptation and spin moderating the effort-performance relationship such that effort was only beneficial during adaptation for those lower in spin. In light of these results, one might question the common advice "keep calm and carry on," which may not be viable for persons high in affect variability. Accordingly, results are discussed in terms of the need to better understand the specific mediating processes by which high affect variability undermines success across a variety of learning and performance contexts.

Within-Day Variability in Negative Affect Moderates Cue Responsiveness in High-Calorie Snacking.

BACKGROUND: Many discretionary foods ("snacks") contribute both to individual health risks and to global issues, in particular through high carbon footprints and water scarcity. Snacking is influenced by the presence of snacking cues such as food availability, observing others eating, and negative affect. However, less is known about the mechanisms underlying the effects of negative affect. This study examines whether the individual odds of consuming high-calorie snacks as a consequence to being exposed to known snacking cues were moderated by experiencing (i) higher or lower total negative affect per day or (ii) higher or lower negative affect variability per day. METHODS: Secondary analysis of an ecological momentary assessment study of 60 participants over 14 days with food logs and randomly timed assessments of known snacking cues. High total daily negative affect levels (daily within-participant means) and negative affect variability (daily within-participant SDs) were examined as moderators to predict high-calorie snacking in three-level hierarchical random effects logistic regressions. RESULTS: Consistent with previous studies, the odds of snacking increased when food was available (OR = 5.05, 95% CI 3.32, 7.66), when others were eating (OR = 5.11, 95% CI = 3.73, 6.99), and when participants experienced more negative affect (OR = 1.02, 95% CI = 1.01, 1.03). Associations for food availability (OR = 0.92, 95% CI 0.86, 0.99) and others eating (OR = 0.95, 95% CI 0.91, 0.99) were significantly moderated by negative affect variability such that associations between cues and high-calorie snacking were weaker on days with higher negative affect variability, but not negative affect levels. CONCLUSION: The relationship between cues to high-calorie snacking and snacking behavior varies with variability in negative affect, suggesting a complex relationship between affect and high-calorie snacking. Clearer conceptualizations on the relation between affect and eating are needed.

Affect variability and sleep: Emotional ups and downs are related to a poorer night's rest.

OBJECTIVES: Many studies have documented the strong associations between well-being and mean levels of both positive and negative affect. A growing number of studies are examining how fluctuations in daily reported emotional experience, known as affect variability, is related to health outcomes. Sleep is a critical correlate of healthy in functioning in late life. This study examines associations between positive and negative affect variability and facets of self-reported sleep behavior among older adults. METHODS: Participants (N = 277) completed a 5 to 6 day ecological momentary assessment. The first survey upon waking asked participants about their sleep the previous night, and participants rated their positive and negative affect every three subsequent hours during waking hours. RESULTS: Regression models indicate that greater variability in daily positive affect is associated with fewer hours of sleep (b = -0.648, p = .04) and greater morning tiredness (b = 0.67, p = .006) even after adjusting for mean levels of affect. Although greater negative affect variability is associated with worse sleep quality (b = -0.77, p = .02) and greater morning tiredness (b = 0.91, p = .004), these associations are no longer significant once mean negative affect is added into the model. CONCLUSION: Findings support theory describing the downside in the variability of positive affect, and suggest that fluctuations in positive affect are related to poor sleep outcomes that have implications for overall health and well-being.

Perceived stress mediates the relationship between mindfulness and negative affect variability: A randomized controlled trial among middle-aged to older adults.

Despite the interest in mindfulness over the past 20 years, studies have only recently begun to examine mindfulness in older adults. The primary aim of this study was to evaluate pretreatment to post-treatment change in negative affect variability (NAV) following a mindfulness training among 134 mildly stressed, middle-aged to older adults. The secondary aim was to assess if the effects of mindfulness training on NAV would be partially explained by pretreatment to post-treatment reductions in perceived stress, a trend that would be congruent with several stress models. In this randomized control trial, participants were assigned to either a 6-week mindfulness meditation training programme or to a wait list control. Ecological momentary assessment, a data capturing technique that queries about present moment experiences in real time, captured NAV. Mixed-model ANOVAs and a path analysis were conducted. Participants in the mindfulness meditation training significantly reduced NAV when compared with wait list control participants. Further, there was a significant indirect group effect on reductions in NAV through change in perceived stress. Few studies have tested mechanisms of action, which connect changes that occur during mindfulness training with psychological outcomes in older adults. Understanding the mechanisms by which mindfulness enhances well-being may optimize interventions.

When is affect variability bad for health? The association between affect variability and immune response to the influenza vaccination.

OBJECTIVES: This study addresses methodological and theoretical questions about the association between affect and physical health. Specifically, we examine the role of affect variability and its interaction with mean levels of affect to predict antibody (Ab) levels in response to an influenza vaccination. METHODS: Participants (N=83) received the vaccination and completed daily diary measures of affect four times a day for 13days. At one and four months post-vaccination, blood was collected from the participants to assess Ab levels. RESULTS: Findings indicate that affect variability and its interaction with mean levels of affect predict an individual's immune response. Those high in mean positive affect (PA) who had more PA variability were more likely to have a lower Ab response in comparison to those who had high mean PA and less PA variability. Although it did not interact with mean negative affect (NA), NA variability on its own was associated with Ab response, whereby those with less NA variability mounted a more robust immune response. CONCLUSION: Affect variability is related to immune response to an influenza vaccination and, in some cases, interacts with mean levels of affect. These oscillations in affective experiences are critical to consider in order to unpack the intricacies of how affect influences health. These findings suggest that future researchers should consider the important role of affect variability on physical health-relevant outcomes as well as examine the moderating effect of mean affect levels.

Daily affect variability and context-specific alcohol consumption.

INTRODUCTION AND AIMS: Research explored the effects of variability in negative and positive affect on alcohol consumption, specifying daily fluctuation in affect as a critical form of emotion dysregulation. Using daily process methodology allows for a more objective calculation of affect variability relative to traditional self-reports. The present study models within-person negative and positive affect variabilities as predictors of context-specific consumption (i.e. solitary vs. social drinking), controlling for mean levels of affect. DESIGN AND METHODS: A community sample of moderate-to-heavy drinkers (n = 47; 49% women) from a US metropolitan area reported on affect and alcohol consumption thrice daily for 30 days via a handheld electronic interviewer. Within-person affect variability was calculated using daily standard deviations in positive and negative affect. RESULTS: Within person, greater negative and positive variabilities are related to greater daily solitary and social consumption. Across study days, mean levels of negative and positive affect variabilities related to greater social consumption between persons; yet, aggregated negative affect variability was related to less solitary consumption. DISCUSSION AND CONCLUSIONS: Results affirm affect variability as a unique predictor of alcohol consumption, independent of mean affect levels. Yet, it is important to differentiate social context of consumption, as well as type of affect variability, particularly at the between-person level. These distinctions help clarify inconsistencies in the self-medication literature regarding associations between average levels of affect and consumption. Importantly, consistent within-person relationships for both variabilities support arguments that both negative and positive affect variabilities are detrimental and reflect an inability to regulate emotional experience.

Emotion control during later life: The relationship between global perceptions and daily experience.

The extent to which individuals generally believe that they can successfully manage their emotions is related to healthy coping and well-being. Nevertheless, it is unclear how this general belief is related to daily affective experiences. In the current study, the relationship between global emotion control beliefs and daily affect reports across 56 days were assessed in a sample of 298 older adults. Results indicate that higher global emotion control beliefs were related to lower mean daily negative affect and higher mean daily positive affect. Additionally, variability analyses investigating multiple potential time scales revealed that global beliefs were related to lower variance in daily negative affect and less variable speeds of daily negative affect change across a range of time scales (from windows of 3 days to windows of approximately 2 weeks). Alternatively, global control beliefs were not significantly related to variance in daily positive affect or variance in speeds of daily positive affect change. Together, results suggest that global emotion control beliefs predict average experience of daily affect and variability in daily negative affect.