On the impulsivity path: Examining the unique and conjoint relations between emotion- and non-emotion-related impulsivity, internalizing symptoms, alcohol use, and physical health parameters

BACKGROUND

Researchers have increasingly differentiated trait-like tendencies toward impulsivity occurring during emotional states (emotion-related impulsivity [ERI]) from impulsivity not tied to emotion (non-ERI). Relative to non-ERI, ERI has shown robust correlations with psychopathology and mild to moderate associations with physical health parameters (e.g., physical activity, poor sleep quality, body mass index [BMI]). Therefore, we first aimed to investigate the unique contributions of ERI and non-ERI to psychopathology symptoms while controlling for neuroticism. Second, we sought to explore the combined associations of physical health parameters with several impulsivity forms.

METHODS

German-speaking adults (N = 350, 35.9 ± 14.6 years, 69.1% female, BMI: 24.0 ± 4.8 kg/m2 , mostly students or employees) completed measures of impulsivity, psychopathology symptoms, neuroticism, and physical health. We gathered measures of two ERI forms: Feelings Trigger Action and Pervasive Influence of Feelings. As a control comparison, we gathered a measure of non-ERI, the Lack of Follow-Through scale. We conducted separate path models for Aims 1 and 2.

RESULTS

For Aim 1, Pervasive Influence of Feelings showed strong links with internalizing symptoms. Feelings Trigger Action and Lack of Follow-Through showed small links with alcohol use. For Aim 2, poor sleep quality was related to all three impulsivity factors, while physical activity was only related to Pervasive Influence of Feelings and Lack of Follow-Through. BMI showed a curvilinear association with impulsivity.

CONCLUSIONS

ERI is more directly relevant than non-ERI for psychopathology symptoms, emphasizing the need to differentiate between the two ERI types. The association of ERI and non-ERI with physical activity and poor sleep quality may serve as potential treatment targets for impulsivity-related problems.

Cognitive fitness modulates gender differences in sleep and mental health among competitive athletes under chronic stress

Objectives: Mental fitness is increasingly considered a key component of an athlete’s competitive arsenal. Active domains of mental fitness include cognitive fitness, sleep, and mental health; and these domains can differ between men and women athletes. Our study investigated the associations of cognitive fitness and gender to sleep and mental health, and the interaction between cognitive fitness and gender on sleep and mental health, in competitive athletes during the COVID-19 pandemic.

Methods: 82 athletes competing at levels from regional/state to international (49% women, M-age = 23.3 years) completed measures of self-control, intolerance of uncertainty, and impulsivity (together representing constructs of cognitive fitness), items about sleep (total sleep time, sleep latency, and mid-sleep time on free days) and a measure of mental health (depression, anxiety, and stress).

Results: Women athletes reported lower self-control, higher intolerance of uncertainty, and higher positive urgency impulsivity compared with men athletes. Women reported sleeping later, but this gender difference disappeared after controlling for cognitive fitness. Women athletes—after controlling for cognitive fitness—reported higher depression, anxiety, and stress. Across genders, higher self-control was associated with lower depression, and lower intolerance of uncertainty was associated with lower anxiety. Higher sensation seeking was associated with lower depression and stress, and higher premeditation was associated with greater total sleep time and anxiety. Higher perseverance was associated with higher depression for men—but not women—athletes.

Conclusion: Women athletes in our sample reported poorer cognitive fitness and mental health compared to men athletes. Most cognitive fitness factors protected competitive athletes under chronic stress, but some exposed them to poorer mental health. Future work should examine the sources of gender differences. Our findings suggest a need to develop tailored interventions aimed at improving athlete wellbeing, with a particular focus on women athletes.

The German Three Factor Impulsivity Index: Confirmatory factor analysis and ties to demographic and health-related variables

A growing body of research has focused on the differentiation of emotion-related versus non-emotion-related impulsivity, assessed by the Three-Factor Impulsivity (TFI) index. The goal of this study is to develop a German TFI index, and to validate the emotion-related impulsivity subscales against indices of substance abuse, physical or psychological disorder, physical exercise, BMI, and hours of sleep. 395 native-German speakers completed the German TFI index and questions on validity indicators online. Factor analyses supported the three-factor structure, including Pervasive Influence of Feelings, Lack of Follow Through, and Feelings Trigger Action. Correlations between factors were higher than in the original work. Both emotion-related impulsivity subscales correlated significantly with psychological disorder, engagement in and minutes of physical exercise per week. When included in multivariate regression models, the three factors explained 3.1%, and 29.2% of variance in amount of exercise per week and psychological disorder, respectively. In sum, findings indicated that the German TFI index has a robust three-factor structure that showed expected links to validity indicators, and novel effects in relation to physical exercise.

Live fast, die young and sleep later: Life history strategy and human sleep behavior

Background and objectives

Life History Theory (LHT) describes trade-offs that organisms make with regard to three investment pathways: growth, maintenance and reproduction. In light of the reparative functions of sleep, we examine sleep behaviors and corresponding attitudes as proximate manifestations of an individual's underlying relative prioritization of short-term reproduction versus long-term maintenance.

Methodology

We collected survey data from 568 participants across two online studies having different participant pools. We use a mixture of segmented and hierarchical regression models, structural equation modeling and machine learning to infer relationships between sleep duration/quality, attitudes about sleep and biodemographic/psychometric measures of life history strategy (LHS).

Results

An age-mediated U- or V-shaped relationship appears when LHS is plotted against habitual sleep duration, with the fastest strategies occupying the sections of the curve with the highest mortality risk: < 6.5 hr (short sleep) and > 8.5 hr (long sleep). LH 'fastness' is associated with increased sleepiness and worse overall sleep quality: delayed sleep onset latency, more wakefulness after sleep onset, higher sleep-wake instability and greater sleep duration variability. Hedonic valuations of sleep may mediate the effects of LHS on certain sleep parameters.

Conclusions and implications

The costs of deprioritizing maintenance can be parameterized in the domain of sleep, where 'life history fastness' corresponds with sleep patterns associated with greater senescence and mortality. Individual differences in sleep having significant health implications can thus be understood as components of lifelong trajectories likely stemming from calibration to developmental circumstances. Relatedly, hedonic valuations of sleep may constitute useful avenues for non-pharmacological management of chronic sleep disorders.Lay Summary: Sleep is essential because it allows the body to repair and maintain itself. But time spent sleeping is time that cannot be spent doing other things. People differ in how much they prioritize immediate rewards, including sociosexual opportunities, versus long-term goals. In this research, we show that individual differences in sleep behaviors, and attitudes toward sleep, correspond with psychological and behavioral differences reflecting such differing priorities. Orientation toward sleep can thus be understood as part of the overall lifetime strategies that people pursue.

Do Criminals Live Faster Than Soldiers and Firefighters? : A Comparison of Biodemographic and Psychosocial Dimensions of Life History Theory

A high risk of morbidity-mortality caused by a harsh and unpredictable environment is considered to be associated with a fast life history (LH) strategy, commonly linked with criminal behavior. However, offenders are not the only group with a high exposure to extrinsic morbidity-mortality. In the present study, we investigated the LH strategies employed by two groups of Polish men: incarcerated offenders (N = 84) as well as soldiers and firefighters (N = 117), whose professions involve an elevated risk of injury and premature death. The subjects were asked to complete the Mini-K (used as a psychosocial LH indicator) and a questionnaire which included a number of biodemographic LH variables. Although biodemographic and psychosocial LH indicators should be closely linked with each other, the actual connection between them is unclear. Thus, this study was driven by two aims: comparing LH strategies in two groups of men with a high risk of premature morbidity-mortality and investigating the relationship between the biodemographic and psychosocial LH dimensions. The study showed that incarcerated men employed faster LH strategies than soldiers and firefighters, but only in relation to biodemographic variables (e.g., number of siblings, age of sexual initiation, life expectancy). No intergroup differences emerged regarding psychosocial LH indicators. Moreover, the correlation analysis showed a weak association between biodemographic and psychosocial LH indicators. The results strengthen the legitimacy of incorporating biodemographic LH traits into research models and indicate the need for further research on the accuracy of the Mini-K. The possible explanations for the intergroup differences in LH strategies are discussed.