Cumulative lifetime stress exposure,depression, anxiety,and well-being in elite athletes: A mixed-method study

Research suggests that elite athletes are at increased risk of poor mental health, partly due to the intense demands associated with top-level sport. Despite growing interest in the topic, the factors that influence the mental health and well-being of elite athletes remain unclear. From a theoretical perspective, the accumulation of stress and adversity experienced over the life course may be an important factor. To investigate this possibility, we employed a mixed-method design to: (a) examine whether cumulative lifetime stress predicted depression, anxiety, and well-being in elite athletes; and (b) help explain why cumulative lifetime stress exposure might have resulted in poor mental health and well-being. Ninety-five elite athletes (M_age = 29.81, SD = 10.88) completed the Stress and Adversity Inventory, Patient Health Questionnaire, Generalized Anxiety Disorder 7-item scale, and the Scales of General Well-Being. Hierarchical regression analyses revealed that total count and severity of lifetime stressor exposure significantly predicted greater depression (β = .42, p < .001; β = .46, p < .001) and anxiety symptoms (β = .34, p = .003; β = .28, p = .018), and worse well-being (β = -.42, p < .001; β = -.30, p = .015). Semi-structured interviews were then conducted with six athletes. Thematic analysis revealed that cumulative lifetime stress exposure fostered poor mental health and well-being by promoting maladaptive long-term coping strategies, increasing susceptibility to future stress, and limiting interpersonal relationships. We believe these findings can help practitioners identify, and intervene accordingly with, elite athletes at risk of experiencing stress-related mental health problems.     

Changing Me,Changing Us: Relationship Quality and Collective Efficacy as Major Outcomes in Systemic Couple Therapy

We examine the sensitivity to change in the Evaluation of Social Systems (EVOS) scale, which assesses relationship quality and collective efficacy. In Study 1 we conducted a waitlist‐control, short‐term couple therapy RCT study (N = 43 couples) with five systemic therapy sessions treating communication and partnership problems; our intent was to provide high external validity. Construct validity of EVOS was assessed by comparison with additionally applied scales (Family Scales; Outcome Questionnaire, OQ‐45.2). In Study 2, N = 332 individuals completed an experiment with high internal validity in order to verify sensitivity to change in three different social contexts. Results from Study 1 revealed a significant increase in relationship quality in the treatment group directly after treatment, as compared to the control group. Sensitivity to change was slightly better for EVOS than for other measures. While this positive change could not be fully sustained between posttreatment and a 4‐week follow‐up, EVOS score did not fall below baseline and pretreatment levels, supporting moderate‐to‐large sensitivity to change. Study 2 supported high sensitivity to change in EVOS for couple relations, family relations, and work‐team relationships. Therefore, EVOS can be used as an outcome measure to monitor the process of systemic interventions focusing on relationship quality and collective efficacy. Due to its sensitivity to change, EVOS can provide evidence for treatment success with regard to relationship aspects.     

Generic,Disease-Specific and Individualised Approaches to Measuring Health-Related Quality of Life Among People With Heart Disease - A Comparative Analysis

Increasing emphasis is being placed on the evaluation of health-related quality of life. However, there is no consensus on the definition of this concept and as a result there are a plethora of existing measurement instruments. Head-to-head comparisons of the psychometric properties of existing instruments are necessary to facilitate evidence-based decisions about which instrument should be chosen for routine use. Therefore, an individualised instrument (the modified Patient Generated Index (PGI)), a generic instrument (the Short Form 36) and a disease-specific instrument (the Quality of Life after Myocardial Infarction questionnaire) were administered to patients with ischaemic heart disease ( n = 117) and the evidence for the validity, reliability and sensitivity of each instrument was examined and compared. The modified PGI compared favourably with the other instruments but none of the instruments examined provided sound evidence for sensitivity to change. Therefore, any recommendation for the use of the individualised approach in the routine collection of health-related quality of life data in clinical practice must be conditional upon the submission of further evidence to support the sensitivity of such instruments.     

Methods for Assessing Quality of Life and Well-Being in Frail Older People

The appropriateness, reliability and convergence of differing methods and associated instruments for the assessment of quality of life and well-being in frail older people was examined in 60 ( S 65 years of age) nursing home residents. The feasibility of measuring quality of life and well-being via a variety of instruments was explored through observation (an adaptation of Dementia Care Mapping), structured interview (Schedule for the Evaluation of Individual Quality of Life - Direct Weighting), and proxy questionnaire (Pleasant Events Schedule - Alzheimer Disease; Apparent Emotion Rating Scale). The observational assessment and Pleasant Events Schedule demonstrated good reliability. Significant associations were found between well-being as assessed by observation, and active social interaction and engagement in recreation as assessed by observation, quality of life as assessed by structured interview, and enjoyment of activities as assessed by proxy questionnaire. These findings indicate the importance of social activity in later life, and the potential of different approaches for the appropriate assessment of key aspects of quality of life in frail older people.     

Rose-colored priming effects: Life satisfaction and affective priming

The authors hypothesized that individual differences in life satisfaction would be systematically related to memory networks favoring positive to negative affective priming. To examine this prediction, three studies involving a total of 198 undergraduate participants were conducted. Four tasks were used in the three studies, and each task was fairly distinct in nature. In all tasks, positive and negative affective priming effects were calculated by examining facilitation in relation to consecutive positive stimuli (i.e., a positive priming effect) vs. consecutive negative stimuli (i.e., a negative priming effect). In all studies, life satisfaction interacted with the relative magnitude of positive and negative priming effects, such that higher levels of life satisfaction were associated with a larger positive priming effect and a smaller negative priming effect. The studies significantly extend the view that there is an intimate relationship between life satisfaction and the mental organization of positive vs. negative concepts in memory.     

Four successful tests of the Cognitive Differentiation–Integration Effort hypothesis

The Cognitive Differentiation–Integration Effort (CD–IE) hypothesis predicts that the dimension of life history speed (K) regulates the strength of the correlation among cognitive abilities, such that individuals with higher K exhibit more weakly integrated abilities than those with lower K. It is predicted that this effect takes place independently of the level of g owing to the absence of an individual differences level correlation between K and g. CD–IE was examined using two student samples: (1) an all female sample (N = 121), using the ALHB as a measure of K and the two SILS subtests of g; and (2) a combined male and female sample (N = 346), using a shorter three-indicator (“Trifecta”) measure of K, a general creativity measure comprised of two subscales (writing and drawing “creative performance”), and the APM-18 measure of fluid cognition. A third, population-representative sample was obtained from the NLSY (N = 11,907). A K-Factor was constructed from convergent measures of subjective well-being, sociability, interpersonal trust, internal locus of control, and delay of gratification, and a g-factor was constructed from the 10 subscales of the ASVAB. A fourth sample, addressing the question of ethnic differences was collected encompassing eight different ethnic groups with a combined 107 specific ability correlations with g. An aggregate K-Factor was constructed for this sample based on convergent population-level indicators of longevity, total fertility rates and infant mortality. Utilizing the Continuous Parameter Estimation Model, in student sample 1 a significant CD–IE effect was found on the SILS Abstract subtest (β = − .215), but not on the SILS Verbal subtest (β = .069). In student sample 2, CD–IE was observed on the general creativity measure (β = − .127), but not on the fluid cognitive ability measure (β = − .057). Significant effects were also observed on both the written and drawing creative output subscales (β = − .189 and − .183 respectively). In sample 3 (the NLSY), generally statistically significant but small-magnitude CD–IE effects were observed among all 10 ASVAB subtests (mean effect size β = − .032). In sample four, a near-significant CD–IE effect was detected (β = − .167). Controlling for subtest skew reduces the mean effect sizes across individual differences samples (β = − .071 in the student samples, − .027 in the NLSY), but boosted it to significance in the ethnic differences sample (β = − .179). Controlling for the skew of residuals reversed the signs of the CD–IE effects on the ASVAB Words and Comprehension subscales, and also on the SILS Verbal subscale, but amplified the magnitudes of the mean effects in the student and NLSY samples (β = − .036 and − .131), while reducing the effect size slightly in the ethnic-differences sample (β = − .172). In the individual differences samples, these effects were demonstrated to be unconfounded with sex of respondent and also unrelated to the Jensen effect. The apparent independence of the effect from both level of g and subtest g-loading suggests intriguing commonalities with the Lynn–Flynn effect.     

Dispositional bases of self-serving positive evaluations

Positive orientation (POS) is the name given to the latent dimension common to self-esteem, optimism and life satisfaction. Earlier findings attest to the trait-like nature of POS and to its unique contribution to well-adjustment across domains of functioning. The present study investigates the extent to which POS accounts for individuals’ tendency to distort their self-assessment in a positive direction. Taking a class of students (N = 190) at the beginning of their academic year, POS predicted the individuals’ tendency to perform academically better-than-average (BTA) peers. POS accounted for BTA beyond what is merely due to self-esteem, life satisfaction and optimism.     

County-level IQ and fertility rates: A partial test of Differential-K theory

Human intelligence (IQ) correlates with a number of important life outcomes ranging from mortality and morbidity to social rank and status. Noticeably absent from the literature, however, has been a unifying framework from which to examine why IQ should correspond to so many seemingly disparate outcomes. Rushton’s Differential-K theory represents a theoretical perspective capable of accounting for the role of IQ in understanding human flourishing. We tested predictions suggested by Differential-K theory by examining the association between IQ at the aggregate level and two life-history variables: parental investment and fertility rates. Our results provide tentative support for some of the predictions of Differential-K theory.