Understanding the Meat-Masculinity Link: Traditional and Non-Traditional Masculine Norms Predicting Men's Meat Consumption.

Conformity to masculinity ideology predicts men's meat consumption and willingness to reduce their meat intake, but it is unknown which specific masculine norms account for these relationships. This study investigated which traditional and non-traditional masculine norms predict meat consumption, red and processed meat consumption, and willingness to reduce meat consumption in 557 Australian and English males. Men who support the use of physical violence and place high importance on sex ate more meat. Willingness to reduce was highest among men with gender egalitarian views. Targeting these specific masculine norms may be important for mitigating men's overconsumption of meat.

The relationship between interoceptive emotional awareness, neuroticism, and depression, anxiety, and stress.

COVID-19 has caused challenges to daily living globally, with profound implications for negative mood. A variety of state and trait-based factors can influence how a person may respond and adapt to challenges such as a global pandemic. Personality is an area impacting how a person responds to both internal and external situations (trait) and Emotional Awareness (EA) is a facet of interoception (an awareness of the mind-body connection) that determines the way an individual interprets their physiological state of the body, and the associated emotions (state-trait). Both areas have been well researched in isolation, however the body of literature exploring the relationships between both is much smaller. It would therefore be beneficial to explore the interrelationships of both state and trait factors on wellbeing to enable a more comprehensive understanding. It was hypothesised that EA would moderate the relationship between Neuroticism and Depression, Anxiety, and Stress. Participants residing in Australia during periods of imposed lockdown were included within the study (n = 838; Ages = 18-60 years) and completed an online questionnaire battery including a variety of state and trait questionnaires. A moderation analysis was conducted to explore whether Emotional Awareness changed the relationship between neuroticism and depression, anxiety, and stress utilising an alpha of < .05. EA moderated the relationship between Neuroticism and Anxiety (p = .001, 95% CI .03-.17)), and Stress (p = .02 95% CI.01-.13), but not Depression (p = .23, 95% CI .03-.13). As Neuroticism increased, negative mood increased for all levels of EA, however those high in Neuroticism and EA displayed the highest Anxiety and Stress. Interventions to increase EA, such as mindfulness, may have adverse effects for individuals high in Neuroticism, emphasising the importance of tailored interventions and supporting the assumption that high levels of Neuroticism represent increased vulnerability during a pandemic.

Assessment of the mind-body connection: preliminary psychometric evidence for a new self-report questionnaire.

OBJECTIVES: While interoceptive self-report scales provide a foundation for measuring the mind-body connection, they variably consider other important factors that could influence interpretations of internal bodily sensations and perceptions related to mind-body integration. The proposed Body-Mind Connection Questionnaire (BMCQ) aimed to operationalise the notion that this construct involves three major components: (a) Interoceptive Attention, (b) Sensation-Emotion Articulation, and (c) Body-Mind Values. METHODS: Following panel review and piloting with the target population, the developed BMCQ was evaluated in 316 participants (189 identifying as female) aged 18-50 (MAge=30.78), alongside established self-report measures of interoceptive sensibility, body awareness, sensory processing sensitivity, and alexithymia. We examined the BMCQ factor structure through exploratory factor analysis and analysed convergent and discriminant validity. RESULTS: Exploratory factor analysis supported three scales of the BMCQ, which explained 54.03% of variance. Factor loadings (>0.44) and reliability indices (0.74 to 0.85) were acceptable. Inter-scale correlations suggested that the scales are distinct but related (rs=0.38 to 0.59). BMCQ scales were supported by convergent (r=0.33 to 0.67) and discriminant evidence (rs=0.01 to 0.39, p range n.s. to <.05). CONCLUSIONS: Preliminary psychometric properties indicate that the BMCQ is multidimensional and consists of three constructs that differentially relate to theoretically associated measures. Interoceptive Attention, Sensation-Emotion Articulation, and Body-Mind Values may serve as a basis for efficiently assessing the mind-body connection more holistically, which could be useful for developing interventions aimed at enhancing mind-body integration.

A true reflection of executive functioning or a representation of task-specific variance? Re-evaluating the unity/diversity framework.

The unity/diversity framework, originally published by Miyake et al. (2000) has become the most cited model of executive functioning. Consequently, when researchers operationalise executive function (EF) they often exclusively assess the three "core" EFs: updating, shifting, and inhibition. However, rather than core EFs representing domain general cognitive abilities, these three EFs may instead represent specific procedural skills from the overlapping methodologies of the tasks selected. In this study, we conducted a confirmatory factor analysis (CFA) which showed both the traditional three-factor and nested-factor model from the unity/diversity framework failed to reach satisfactory levels of fit. Subsequently, an exploratory factor analysis supported a three-factor model reflecting: an expanded working memory factor, a combined shifting/inhibition factor representing cognitive flexibility, and a factor comprised solely of the Stroop task. These results demonstrate that working memory remains the most robustly operationalised EF construct, whereas shifting and inhibition may represent task-specific mechanisms of a broader domain-general cognitive flexibility factor. Ultimately, there is little evidence to suggest that updating, shifting, and inhibition encapsulates all core EFs. Further research is needed to develop an ecologically valid model of executive functioning that captures the cognitive abilities associated with real world goal-directed behaviour.

20 years on: Confirmation of P. Anderson's (2002) paediatric model of executive functioning in a healthy adult sample.

Executive Functioning (EF) is a construct that encompasses multiple interrelated higher order skills, however, conceptualising this nebulous construct remains challenging. This study aimed to confirm the validity of Anderson's (2002) paediatric model of EF in a healthy adult sample using congeneric modelling. Measures of EF were selected based on utility with adult populations giving rise to minor methodological differences from the original paper. Separate congeneric models were constructed using each of Anderson's constructs in order to isolate the sub-skills represented by each (Attentional Control-AC, Cognitive Flexibility-CF, Information Processing-IP, Goal Setting-GS), with a minimum of three tests per subskill. One hundred and thirty-three adults (42 males and 91 females) aged between 18 and 50 (M = 29.68, SD = 7.46) completed a cognitive test battery comprising 20 EF tests. AC revealed a good fitting model χ2(2) = 1.61, p = .447, RMSEA = 0.000, CFI = 1.000, after removing the non-significant indicator Map Search (p = .349), and BS-Bk as BS-Bk was required to covary with both BS-Fwd (M.I = 7.160, Par Change = .706), and TMT-A (M.I = 5.759, Par Change = -2.417). CF revealed a good fitting model χ2(8) = 2.90, p = .940, RMSEA = 0.000, CFI = 1.000 after covarying TSC-E and Stroop (M.I = 9.696, Par Change = .085). IP revealed a good fitting model χ2(4) = 1.15, p = .886, RMSEA = 0.000, CFI = 1.000 after covarying Animals total and FAS total (M.I. = 4.619, Par Change = 9.068). Lastly, GS indicated a good fitting model χ2(8) = 7.22, p = .513, RMSEA = 0.000, CFI = 1.000 after covarying TOH total time and PA (M.I = 4.25, Par Change = -77.868). Therefore, all four constructs were reliable and valid, and the utility of a parsimonious EF battery is suggested. Investigation of the inter-relationships between the constructs using regression techniques, de-emphasises the role of Attentional Control and argue instead for capacity bound skills.

A latent factor approach to the Saving Inventory - Revised: Congeneric evaluation of construct and content validity.

BACKGROUND: Inconsistencies have been identified in the three-factor structure and item loadings of the most commonly used self-report hoarding screening tool, the Saving Inventory - Revised (SI-R), which assesses difficulty discarding, clutter and acquisition. The current study aimed to confirm the factor structure of the SI-R using congeneric modelling, and evaluate the construct and content validity of this measure. METHODS: 139 participants with self-identified hoarding completed the SI-R. Congeneric structural equation modelling was then performed to validate the SI-R factor structure. RESULTS: The three-factor structure of the SI-R was confirmed as a valid, reliable and good fitting model. However, the difficulty discarding and clutter subscales were required to covary. CONCLUSIONS: The SI-R was confirmed as an appropriate screening tool for hoarding severity; however, revision of item wording may improve content validity. Future research could consider exploring the relationships between a range of hoarding-related constructs and the differential endorsement of SI-R subscales. LIMITATIONS: As data were collected during the 2020 COVID-19 pandemic, panic buying and hoarding-related acquiring behaviours may have been exacerbated. In addition, the diagnostic status of participants was not verified, despite the inclusion of individuals endorsing clinically significant hoarding symptoms.

Distinguishing between trait emotional intelligence and the five-factor model of personality: additive predictive validity of emotional intelligence for negative emotional states.

There is ongoing debate on the utility of trait emotional intelligence and whether it is distinguishable from the five-factor model of personality. In study 1, we investigated the incremental validity of trait emotional intelligence in predicting negative emotional states, after controlling for the five-factor model personality traits. The TEIQue, Mini-IPIP, and DASS-21 were administered to a community based Australian sample. Three significant predictive models emerged: (1) wellbeing, and neuroticism predicting depression; (2) emotionality, and neuroticism predicting anxiety; and (3) self-control, and neuroticism predicting stress. In Study 2, we further explored the relationship between TEIQue domains, neuroticism, and negative emotional states. Three partial mediation models were found: (1) wellbeing mediated the relationship between neuroticism and depression; (2) emotionality mediated the relationship between neuroticism and anxiety; and (3) self-control mediated the relationship between neuroticism and stress. The findings highlight that trait emotional intelligence is related to, and yet distinct from extraversion, conscientiousness, agreeableness, neuroticism, and openness. They also provide support for the incremental validity of the TEIQue domains in predicting depression, anxiety, and stress, beyond the five-factor model personality traits in a community based Australian sample, with the domains of trait emotional intelligence potentially operating as protective factors from pervasive negative moods.