To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge-org.demo.remotlog.com
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
The development of externalizing behavior in young children is shaped by the complex interaction of temperament, neural mechanisms, and environmental factors. This study explored how child frontal alpha asymmetry (FAA) and child negative affect jointly moderate the relationship between mindful parenting and child externalizing behavior. The sample, drawn from families in the Netherlands, included reports from 128 mothers and 103 partners on mindful parenting, and on children’s negative affect and externalizing behavior. FAA was measured in 95 four-year-old children during an EEG session while they watched an animated video. Results indicated that children with high negative affect and greater left-sided FAA displayed the most externalizing behavior when maternal mindful parenting was low, but the least when mindful parenting was high. In contrast, no significant effects were found for children with lower negative affect or in partner-reported data. These findings suggest that children with both high negative affect and greater left-sided FAA are more sensitive to the quality of mindful parenting, particularly from mothers, aligning with the environmental sensitivity framework. Future research should replicate these findings, ideally in a larger sample, and further examine the long-term, cumulative impact of FAA and negative affect on the development of behavioral problems.
The role of the gut microbiome in infant development has gained increasing interest in recent years. Most research on this topic has focused on the first three to four years of life because this is a critical period for developing gut-brain connections. Prior studies have identified associations between the composition and diversity of the gut microbiome in infancy and markers of temperament, including negative affect. However, the specific microbes affected, and the directionality of these associations have differed between studies, likely due to differences in the developmental period of focus and assessment approaches. In the current preregistered study, we examined connections between the gut microbiome, assessed at two time points in infancy (2 weeks and 18 months), and negative affect measured at 30 months of age in a longitudinal study of infants and their caregivers. We found that infants with higher gut microbiome diversity at 2 weeks showed more observed negative affect during a study visit at 30 months. We also found evidence for associations between specific genera of bacteria in infancy and negative affect. These results suggest associations between specific features of the gut microbiome and child behavior may differ based on timing of gut microbiome measurement.
While research on leadership and employee physical ill-being is burgeoning, the short- and long-term mechanisms through which leadership influences employee physical ill-being remain underexplored. This research, grounded in leadership theories and the Job Demand-Resource (JD-R) theory, examines how transformational and abusive leadership behaviors influence employee physical ill-being through two conflict-related negative motivational mechanisms (negative work–home interactions and job role conflict) and two negative affective mechanisms representing short-term (negative affect) and long-term (burnout) mechanisms. Employing a three-wave longitudinal design over 6 months (N = 234), our findings from a multilevel path analysis revealed that transformational and abusive leadership had respectful, negative and positive effects on employee physical ill-being via conflict-related negative motivational mechanisms and short- and long-term affective mechanisms. Notably, the influence of leadership behaviors on employee physical ill-being was more pronounced through the short-term affective mechanism (negative affect) than the long-term affective mechanism (burnout). Our findings provide a nuanced understanding of how leadership behaviors affect employee physical ill-being over time, shedding light on the dynamic interplay of motivational and affective pathways in this relationship.
This study relied on the affective events theory and the social exchange theory to develop a framework that explains how situational factors (daily micro-interruptions) enhance affective reactions (negative affect) and, in turn, impair health conditions (mental health) at work. We further delineate theoretical arguments to propose the pet-human’s health effect by demonstrating that pets are boundary conditions that attenuate this relation, and as such are protective conditions for employees’ mental health. We conducted a 5-day diary study with two groups of participants, one with participants who owned pets (N = 82 x 5 = 410), and the other who did not own pets (N = 87 x 5 = 435). The multilevel results showed an indirect effect of daily micro-interruptions on individuals’ mental health through negative affect, with a daily backdrop of poorer mental health for those who did not own a pet (compared to those who owned a pet). These results evidence the benefits of owning a pet for individuals’ mental health, even at work, and as such provide recommendations for teleworking practices. Moreover, this study resorts to an innovative and robust data collection method to demonstrate the pet-human’ health effect. This study expands knowledge on the role of pets in working daily routines and shows that pets may be a personal resource for individuals while working.
Psychotic experiences (PEs) and social isolation (SI) seem related during early stages of psychosis, but the temporal dynamics between the two are not clear. Literature so far suggests a self-perpetuating cycle wherein momentary increases in PEs lead to social withdrawal, which, subsequently, triggers PEs at a next point in time, especially when SI is associated with increased distress. The current study investigated the daily-life temporal associations between SI and PEs, as well as the role of SI-related and general affective distress in individuals at clinical high risk (CHR) for psychosis.
Methods
We used experience sampling methodology in a sample of 137 CHR participants. We analyzed the association between SI, PEs, and distress using time-lagged linear mixed-effects models.
Results
SI did not predict next-moment fluctuations in PEs, or vice versa. Furthermore, although SI-related distress was not predictive of subsequent PEs, general affective distress during SI was a robust predictor of next-moment PEs.
Conclusions
Our results suggest that SI and PEs are not directly related on a moment-to-moment level, but a negative emotional state when alone does contribute to the risk of PEs. These findings highlight the role of affective wellbeing during early-stage psychosis development.
Childhood trauma (CT) may increase vulnerability to psychopathology through affective dysregulation (greater variability, autocorrelation, and instability of emotional symptoms). However, CT associations with dynamic affect fluctuations while considering differences in mean affect levels across CT status have been understudied.
Methods
346 adults (age = 49.25 ± 12.55, 67.0% female) from the Netherlands Study of Depression and Anxiety participated in ecological momentary assessment. Positive and negative affect (PA, NA) were measured five times per day for two weeks by electronic diaries. Retrospectively-reported CT included emotional neglect and emotional/physical/sexual abuse. Linear regressions determined associations between CT and affect fluctuations, controlling for age, sex, education, and mean affect levels.
Results
Compared to those without CT, individuals with CT reported significantly lower mean PA levels (Cohen's d = −0.620) and higher mean NA levels (d = 0.556) throughout the two weeks. CT was linked to significantly greater PA variability (d = 0.336), NA variability (d = 0.353), and NA autocorrelation (d = 0.308), with strongest effects for individuals reporting higher CT scores. However, these effects were entirely explained by differences in mean affect levels between the CT groups. Findings suggested consistency of results in adults with and without lifetime depressive/anxiety disorders and across CT types, with sexual abuse showing the smallest effects.
Conclusions
Individuals with CT show greater affective dysregulation during the two-week monitoring of emotional symptoms, likely due to their consistently lower PA and higher NA levels. It is essential to consider mean affect level when interpreting the impact of CT on affect dynamics.
Emotions have profound consequences for human functioning. Their influences can be adaptive, guiding people through life and ensuring effective functionality within society, but emotions can also result in irrationality and bias. This chapter focuses on the role of emotion in conspiratorial beliefs, using the QAnon conspiracy theory as an example. Within the chapter, we discuss affective factors that make QAnon appealing to its followers and the role of discrete emotions in the spread of misinformation and conspiratorial beliefs. The chapter also examines the influence of emotions on information processing. Given QAnon supporters’ strong emotional involvement in the movement, we discuss affective influences on information processing through the lens of affective polarization. In addition, we explain how emotions, particularly anger, influence the propensity towards extreme and sometimes violent action that has been on the rise among the followers of QAnon. The chapter concludes with a discussion of potential mitigating variables and strategies that might curb proliferation of QAnon.
The pubertal transition is characterized by pronounced sex hormone fluctuation, refinement of affective neural circuitry, and an increased risk of depression in female adolescents. Sex hormones, including testosterone, exert modulatory effects on frontal-limbic brain networks and are associated with emotion dysregulation and depressive symptoms. Weekly changes in hormones predict affective symptoms in peripubertal female adolescents, particularly in the context of stress; however, the biobehavioral mechanisms underlying hormone change and mood relationships during the pubertal transition have yet to be determined and was the objective of the present study. Forty-three peripubertal female adolescents (ages 11–14) collected 8-weekly salivary hormone (estrone, testosterone) samples and mood assessments to evaluate hormone-mood relationships, followed by a biobehavioral testing session with psychosocial stress and EEG. Within-person correlations between weekly hormone changes and corresponding mood were performed to determine individual differences in mood sensitivity to weekly hormone change. Increased frontal theta activity indexing emotion reactivity, reduced cortisol reactivity, and reduced vagal efficiency predicted the strength of the relationship between testosterone and mood. Further, testosterone-sensitivity strength was associated with the enhancement of negative affect following stress testing. Results identify divergent frontal theta and stress responses as potential biobehavioral mechanisms underlying mood sensitivity to peripubertal testosterone fluctuation.
Personality traits, automatic thoughts, and affective states during sexual activity in men have been studied; however, little is known about their interaction. The current study examines the moderation role of personality traits on the relationship between cognitive-affective dimensions and sexual behavior in men. An online sample of 497 men (227 gay men) was recruited, and participants completed a sociodemographic questionnaire, the NEO-Five Factor Inventory (NEO-FFI), the Automatic Thoughts from the Sexual Modes Questionnaire (SMQ) subscale, The Positive Affect-Negative Affect scales (PANAS), and the International Index of Erectile Function (IIEF)/and the IIEF for men who have sex with men (IIEF-MSM). The main findings showed that extraversion, absence of erotic thoughts, positive affect, and negative affect were significant predictors of sexual functioning in gay (β = .266, β = –.345, β = .361; β = –.292, p < .05, respectively) and heterosexual men (β = .208, β = –.382, β = .318; β = –.214, p < .05, respectively); neuroticism significantly predicted sexual functioning only in gay men (β = –.244, p < .05). Extraversion was a moderator between absence of erotic thoughts and sexual functioning in heterosexual men (p = .004), and between positive affect and sexual functioning in gay men (p = .001), and Neuroticism was a moderator between positive affect and sexual functioning in gay men (p < .001). Overall, extraversion buffered the negative impact of absence of erotic thoughts on heterosexual men sexual functioning and the negative impact of lower positive affect on gay men sexual functioning, whereas low neuroticism boost the impact of positive affect on gay men sexual functioning.
Emotional functioning is linked to HIV-associated neurocognitive impairment, yet research on this association among diverse people with HIV (PWH) is scant. We examined emotional health and its association with neurocognition in Hispanic and White PWH.
Methods:
Participants included 107 Hispanic (41% primarily Spanish-speakers; 80% Mexican heritage/origin) and 216 White PWH (Overall age: M = 53.62, SD = 12.19; 86% male; 63% AIDS; 92% on antiretroviral therapy). Emotional health was assessed via the National Institute of Health Toolbox (NIHTB)-Emotion Battery, which yields T-scores for three factor-based summary scores (negative affect, social satisfaction, and psychological well-being) and 13 individual component scales. Neurocognition was measured via demographically adjusted fluid cognition T-scores from the NIHTB-cognition battery.
Results:
27%–39% of the sample had problematic socioemotional summary scores. Hispanic PWH showed less loneliness, better social satisfaction, higher meaning and purpose, and better psychological well-being than Whites (ps <.05). Within Hispanics, Spanish-speakers showed better meaning and purpose, higher psychological well-being summary score, less anger hostility, but greater fear affect than English speakers. Only in Whites, worse negative affect (fear affect, perceived stress, and sadness) was associated with worse neurocognition (p <.05); and in both groups, worse social satisfaction (emotional support, friendship, and perceived rejection) was linked with worse neurocognition (p <.05).
Conclusion:
Adverse emotional health is common among PWH, with subgroups of Hispanics showing relative strengths in some domains. Aspects of emotional health differentially relate to neurocogntition among PWH and cross-culturally. Understanding these varying associations is an important step towards the development of culturally relevant interventions that promote neurocognitive health among Hispanic PWH.
We adopt a multilevel view of emotions and creativity in organizations. Consistent with traditional definitions of the construct, we define creativity broadly in terms of a process that leads to ideas, products, or problem solutions that are both novel and practically useful. More recently, scholars have come to understand that organizational creativity is inherently a multi-level phenomenon that can (1) manifest as a within-person, temporally varying phenomenon, (2) be influenced by employees’ individual proclivities for creative behavior, (3) involve interpersonal communication of ideas, (4) emerge as team or group creativity, or (5) reflect a creative organizational culture or climate. In this chapter, we aim to integrate these creative processes across all five levels of analysis. We especially address circumstances under which creativity can be associated with positive or negative affect, arguing that, depending on personal and situational conditions, creativity can be associated with either positive or negative emotions. We conclude with suggestions for future research.
Affective states play a key function in creative performance, such that both positive and negative feelings can foster, or inhibit, creativity due to their information processing and motivational correlates. In this chapter, we survey and integrate theory and empirical research in this field, identifying core and robust findings focused on the association of affect with creativity, and unanswered questions requiring deeper investigation. Based on this work, we finally propose several valuable directions for future research.
Mortality rates are often used in population-level animal welfare assessments because they are assumed to reflect rates of disease or injury and other problems likely to cause poor welfare. High mortality is thus assumed to correlate with factors likely to cause negative affective states. Here, we argue that negative affective states are also related to mortality rates more directly, via causal rather than merely correlational routes. In humans, negative affective states predict elevated morbidity and mortality rates as well as decreased longevity, while self-reported happiness does the opposite. This review investigates whether mortality rates and longevity can thus be used to make inferences regarding past affective states in animals. The proposed mechanism is that chronic stressors cause negative affective states and thence harmful physiological consequences through continual activation of the hypothalamic-pituitary-adrenal and sympathetic-adreno-medullary axes, which in turn can lead to increased mortality. The convergent validity of mortality as an indicator of past negative affect is demonstrated via examples of how stressors such as bereavement in humans and social isolation in social non-human species cause negative affective states, and then increase the morbidity of potentially lethal conditions such as cardiovascular disease, cancer and HIV/AIDS, ultimately leading to increased mortality and reduced longevity in both humans and animals. The potential drawbacks of using mortality rates to infer animal welfare are also discussed, including its low sensitivity and the multiplicity of factors unrelated to affective states that can influence mortality rates. However, providing these issues are accounted for, it is suggested that this indicator has value in welfare assessment, and is especially well suited for cases where animals are allowed to live out their natural lifespans, such as tends to be the case with zoo and companion animals.
This chapter explains why no one is perfectly self-controlled, and why even true champions of discipline will sooner or later give in to temptation. The reason is that people are bound by two hardwired constraints: limited working memory and limited mental energy. (Whether the latter constraint actually exists has recently become a subject of fierce debate, but I argue that the critics are mostly mistaken.) This chapter also explains why the capacity for self-control partly depends on the situation. I discuss five factors that may undermine self-control: negative affect, cognitive load, prior exertion of self-control, acute stress, and insufficient sleep. These are factors that all of us experience on a more or less daily basis, meaning that all of us may suffer bouts of poor self-control. To be sure, when the stakes are high, people have mental reserves they can call upon, thus rising to the occasion, but again, there are limits. In the end, no one is immune to self-control failure.
Attention biases to threat are considered part of the etiology of anxiety disorders. Attention bias variability (ABV) quantifies intraindividual fluctuations in attention biases and may better capture the relation between attention biases and psychopathology risk versus mean levels of attention bias. ABV to threat has been associated with attentional control and emotion regulation, which may impact how caregivers interact with their child. In a relatively diverse sample of infants (50% White, 50.7% female), we asked how caregiver ABV to threat related to trajectories of infant negative affect across the first 2 years of life. Families were part of a multi-site longitudinal study, and data were collected from 4 to 24 months of age. Multilevel modeling examined the effect of average caregiver attention biases on changes in negative affect. We found a significant interaction between infant age and caregiver ABV to threat. Probing this interaction revealed that infants of caregivers with high ABV showed decreases in negative affect over time, while infants of caregivers with low-to-average ABV showed potentiated increases in negative affect. We discuss how both high and extreme patterns of ABV may relate to deviations in developmental trajectories.
Adolescence is characterized by profound change, including increases in negative emotions. Approximately 84% of American adolescents own a smartphone, which can continuously and unobtrusively track variables potentially predictive of heightened negative emotions (e.g. activity levels, location, pattern of phone usage). The extent to which built-in smartphone sensors can reliably predict states of elevated negative affect in adolescents is an open question.
Methods
Adolescent participants (n = 22; ages 13–18) with low to high levels of depressive symptoms were followed for 15 weeks using a combination of ecological momentary assessments (EMAs) and continuously collected passive smartphone sensor data. EMAs probed negative emotional states (i.e. anger, sadness and anxiety) 2–3 times per day every other week throughout the study (total: 1145 EMA measurements). Smartphone accelerometer, location and device state data were collected to derive 14 discrete estimates of behavior, including activity level, percentage of time spent at home, sleep onset and duration, and phone usage.
Results
A personalized ensemble machine learning model derived from smartphone sensor data outperformed other statistical approaches (e.g. linear mixed model) and predicted states of elevated anger and anxiety with acceptable discrimination ability (area under the curve (AUC) = 74% and 71%, respectively), but demonstrated more modest discrimination ability for predicting states of high sadness (AUC = 66%).
Conclusions
To the extent that smartphone data could provide reasonably accurate real-time predictions of states of high negative affect in teens, brief ‘just-in-time’ interventions could be immediately deployed via smartphone notifications or mental health apps to alleviate these states.
Transactional processes between parental support and adolescents’ depressive symptoms might differ in the short term versus long term. Therefore, this multi-sample study tested bidirectional within-family associations between perceived parental support and depressive symptoms in adolescents with datasets with varying measurement intervals: Daily (N = 244, Mage = 13.8 years, 38% male), bi-weekly (N = 256, Mage = 14.4 years, 29% male), three-monthly (N = 245, Mage = 13.9 years, 38% male), annual (N = 1,664, Mage = 11.1 years, 51% male), and biennial (N = 502, Mage = 13.8 years, 48% male). Preregistered random-intercept cross-lagged panel models (RI-CLPMs) showed negative between- and within-family correlations. Moreover, although the preregistered models showed no within-family lagged effect from perceived parental support to adolescent depressive symptoms at any timescale, an exploratory model demonstrated a negative lagged effect at a biennial timescale with the annual dataset. Concerning the reverse within-family lagged effect, increases in adolescent depressive symptoms predicted decreases in perceived parental support 2 weeks and 3 months later (relationship erosion effect). Most cross-lagged effects were not moderated by adolescent sex or neuroticism trait level. Thus, the findings mostly support adolescent-driven effects at understudied timescales and illustrate that within-family lagged effects do not generalize across timescales.
After assessing a client a treatment plan is required. The chapter outlines the practical steps in proceeding from a case formulation to a treatment plan. Since many techniques are modified for application in many different clinical problems and psychological disorders, we will concentrate on providing a description of particular procedures that are broadly applicable. The chapter provides practical illustrations of treatment planning with outlines of behaviour therapy, dialectical behaviour therapy, cognitive therapy, and interpersonal psychotherapy. It includes specific examples of clinical cases and explains how these approaches can be subsumed under a transdiagnostic framework of treatment planning. Consideration of transdiagnostic interventions involves targeting negative affect, intolerance of uncertainty, anxiety sensitivity, avoidance and safety behaviours, emotion regulation, and metacognitve therapy.
It has been widely demonstrated that recent stressful events could impact wellbeing, nevertheless it is not clear whether stressful situations experienced in the pastand the internal resources used to deal with them can also influence older adult’s well- being. The purpose of this study was to evaluate the influence of stressful past events andemotional intelligence on negative affect, and to determine whether negative affect is related to older people’s wellbeing.
Method
The Aging in Spain Longitudinal Study, Pilot Survey (ELES-PS) database wasused. The sample comprised 1747 participants (55.9% women), with ages between 50 to98 years-old (M = 66.2, SD = 10.6). Stressful past events were evaluated with a list of tenstressful events developed by the project team. Three items of the Trait-Meta-Mood scalewere used to assess emotional intelligence. In order to evaluate negative emotions, the PANAS scale of negative experience was used. Finally, life satisfaction was assessed using the Personal Wellbeing Index.
Results
The results of the SEM model indicated that emotional intelligence predicted negative affect, and this in turn was related to participants wellbeing. However past stressful events showed no effect on either the emotional intelligence or on participants’ negative affect. Age was used as a control variable and influenced negative affect but didnot impact stressful past events.
Discussion
Internal resources such as emotional intelligence appears to be more important than stressful past events in predicting successful aging.