Adolescence is a critical period for brain maturation, influenced by stress and hormonal changes. Chronic stress can lead to increased allostatic load (AL), a cumulative measure of multisystem dysregulation, and insulin resistance (IR), both of which are linked to mental health disorders. We hypothesized that heightened AL and IR during adolescence (age 17) would predict the emergence of mood and psychotic symptoms in young adults.

This study used data from the Avon Longitudinal Study of Parents and Children, a population cohort from Bristol, United Kingdom.

Our results showed that elevated AL at age 17 was significantly associated with the development of mood disorder symptoms (MDS) and psychotic disorder symptoms (PDS) and the co-occurrence of mood and psychotic disorder symptoms (MPDS) at age 24 (p < 0.001). Mean AL increased progressively across these symptom groups, indicating a dose–response relationship between physiological dysregulation and mental health burden (MDS = 3.67, PDS = 3.89, and MPDS = 4.03). We also observed that IR was significantly elevated in the MDS, PDS, and MPDS groups compared to healthy controls (HCs). IR was most prevalent in the PDS group, suggesting a possible association between metabolic dysfunction and psychosis risk.

This study demonstrated that multisystem dysregulation in late adolescence precedes the onset of mood and psychotic symptoms in early adulthood. These results support the use of AL and metabolic markers as early indicators of psychiatric vulnerability and highlight the potential for early intervention targeting systemic dysregulation to prevent the onset of mental health disorders.

Accumulating evidence suggests that stress, social relationships, and sex/gender differences in brain function, particularly of the orbitofrontal cortex (OFC), may drive problematic alcohol use. How these factors interact to effect alcohol use, and if they do so differently in men and women, has yet to be explored.

Using a subsample of the publicly available Human Connectome Project data consisting of young adults with problematic alcohol use (N = 491; 41.75% women, ≥1 symptom of alcohol abuse/dependence), we used a moderated moderation approach to test whether perceived stress and sex/gender moderated the effect of a multidimensional measure of social relationship quality on drinking levels. We subsequently tested whether OFC function moderated these effects.

We found that in women, higher friendship and companionship had a protective effect on drinking levels, particularly for women under high stress. In contrast, in men, higher friendship and companionship were linked to increased drinking levels under stress. Preliminary evidence suggested that this effect in men was driven by a subgroup of men with higher OFC reactivity to negative emotional faces.

Our findings suggest that women benefit from friendship and companionship as a form of stress-relief in the context of problematic drinking, whereas men do not, supporting the need of interventions that facilitate emotionally supportive, pro-recovery social environments particularly in men. Preliminary evidence further suggests a role of emotional dysregulation in men. Overall, our findings support the importance of developing sex/gender and neurobiologically informed interventions that target stress-related alcohol use.

Stress could increase delay discounting in subjects with bulimia nervosa and alcohol use disorder (AUD), meaning that the short-term benefits of coping through eating or drinking outweigh the long-term negative consequences. Therefore, this study explores differences in delay discounting between patients and healthy controls, the impact of stress on food and alcohol delay discounting and associated changes in brain activity.

A total of 102 female participants (AUD, 27; bulimia nervosa, 25; healthy controls, 50) underwent repeated functional magnetic resonance imaging scanning. Initially, all participants performed a monetary delay discounting task (DDT), followed by a food or alcohol DDT before and after stress induction. Specifically, those with bulimia nervosa completed a food DDT, those with AUD completed an alcohol DDT and healthy controls were randomly allocated to one or either DDT.

Participants with AUD, but not healthy controls, displayed a higher discounting of alcohol after stress. Healthy controls, but not those with bulimia nervosa, had nominally higher discounting rates of food following stress, although not significant following multiple testing correction. Participants with AUD displayed a lower activity of the right supplementary motor area while discounting alcohol after stress. Healthy controls showed a lower activity of the frontal cortex and a higher activity of the motor cortex while discounting food after stress, while those with bulimia nervosa displayed a higher activity of the occipital cortex.

The results suggest that, in subjects with AUD, stress induces neurobiological changes that cause them to prefer more immediately available alcohol. However, the results observed in participants with bulimia nervosa suggest a more complex relation between stress and food.

Cognitive and behavioral factors contribute to the mitigation of stress-related health outcomes in later life. Given that stress management interventions for older adults are an important target for healthcare, there is a need for a relatively short and standardized assessment tool to comprehensively measure stress and coping in later adulthood while minimizing the burden on participants. The Stress Assessment Inventory (SAI), a 123-item measure designed to assess stress and coping resources in younger adults.

The objective of this study was to examine the psychometric properties of the SAI in 294 older adults.

The SAI was evaluated on its dimensionality, reliability, and validity.

A shortened SAI is proposed for older adults, with good internal consistency and criterion validity. The Revised SAI was found to have a three-factor model that captures Adaptive Cognitive Resources, Maladaptive Behavioral and Cognitive Habits, and Adaptive Health Habits.

The current study supports the use of the Revised SAI in community-dwelling older adult populations as a comprehensive tool to assess stress and coping for use by researchers and healthcare professionals.

Cortisol is a well-established biomarker of stress, assessed through salivary or blood samples, which are intrusive and time-consuming. Speech, influenced by physiological stress responses, offers a promising non-invasive, real-time alternative for stress detection. This study examined relationships between speech features, state anger, and salivary cortisol using a validated stress-induction paradigm.

Participants (N = 82) were assigned to cold (n = 43) or warm water (n = 39) groups. Saliva samples and speech recordings were collected before and 20 minutes after the Socially Evaluated Cold Pressor Test (SECPT), alongside State–Trait Anger Expression Inventory (STAXI) ratings. Acoustic features from frequency, energy, spectral, and temporal domains were analysed. Statistical analyses included Wilcoxon tests, correlations, linear mixed models (LMMs), and machine learning (ML) models, adjusting for covariates.

Post-intervention, the cold group showed significantly higher cortisol and state anger. Stress-related speech changes occurred across domains. Alpha ratio decreased and MFCC3 increased post-stress in the cold group, associated with cortisol and robust to sex and baseline levels. Cortisol–speech correlations were significant in the cold group, including sex-specific patterns. LMMs indicated baseline cortisol influenced feature changes, differing by sex. ML models modestly predicted SECPT group membership (AUC = 0.55) and showed moderate accuracy estimating cortisol and STAXI scores, with mean absolute errors corresponding to ∼ 24–38% and ∼16–28% of observed ranges, respectively.

This study demonstrates the potential of speech features as objective stress markers, revealing associations with cortisol and state anger. Speech analysis may offer a valuable, non-invasive tool for assessing stress responses, with notable sex differences in vocal biomarkers.

Chronic pain activates the HPA axis stress response resulting in the release of cortisol, although empirical associations are often contradictory. Quantile regression models of hair cortisol may help us measure HPA-axis dysregulation more accurately and establish more robust associations with chronic pain. We also examined whether people with chronic pain characterised by HPA-axis dysregulation are at risk of future mental ill-health.

This study examined data from the English Longitudinal Study of Ageing (ELSA, n = 4,560) and the UK Household Longitudinal Survey-Innovation Panel (UKHLS-IP, n = 473) to assess whether quantile regression methods enable us to assess more robust associations between hair cortisol and chronic pain, and whether older adults with chronic pain characterised by HPA-axis dysregulation are at risk of future mental ill-health.

In ELSA, chronic pain was associated with a 15% (CI: 6%–23%) increase in cortisol at the 10th percentile of the hair cortisol distribution among older adults and a 19% (CI: 2%–37%) increase at the 80th percentile, but no association was found at the 30th or 40th percentiles. Having a low cortisol response to chronic pain protected against the recurrence of depression. These patterns of association were replicated in the UKHLS-IP sample.

The associations demonstrated across two longitudinal population surveys from the UK indicate that quantile regression analysis of hair cortisol may be useful in identifying individuals resilient to chronic pain. Hair cortisol is a promising biomarker that can be measured in population studies to quantify the stress response and resilience to future mental ill-health.