Psychosocial Data Research Articles

Prevalence of anxiety and depression and the influence of correlates in acute coronary syndrome patients: a cross-sectional analysis

Abstract Background Acute coronary syndrome (ACS) patients are vulnerable to anxiety and depression. This study aimed to assess the mental health burden among Egyptian ACS patients by assessing the prevalence and associates of these conditions. This study enrolled 212 patients who underwent coronary angiogram. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale (HADS). Demographic, psychosocial, and clinical data were collected. Univariate and multivariate logistic regression analyses identified factors associated with anxiety and depression. Results The mean age of the participants was 54.1 years, and 80.7% were males. More than half (58.1%) exhibited anxiety, depression, or both, with depression being more prevalent than anxiety (48.1% vs 38.2%). Past major depressive disorder was strongly correlated with both anxiety and depression. Higher anxiety scores increased the odds of depression (OR = 1.234, p < 0.001), and vice versa (OR = 1.55, p < 0.001). Hypertension and the use of antihypertensive medications were associated with increased depression. Significant associates of anxiety included increased heart rate, past use of furosemide and enoxaparin, and current polypharmacy. Conclusions A substantial proportion of ACS patients experience comorbid anxiety and depression. Polypharmacy, past depression, and hypertension are key risk factors. Targeted interventions addressing these factors are essential for improving mental health in this vulnerable population.

Cumulative Socioeconomic Status Risk is Associated with Greater Increase in Serum Neurofilament Light Chain Levels Among Middle-Aged Black Adults.

This study examined the longitudinal relationship between cumulative socioeconomic status (SES) risk and serum neurofilament light chain (NfL) levels to better understand the association between social factors and a biomarker of neurodegeneration. We used data from the Family and Community Health Study (FACHS), collecting psychosocial and blood data at two waves (2008) and (2019) from 254 Black Americans (43 males and 211 females). Blood samples were analyzed at each wave for serum NfL concentrations. Regression analysis and mixed-effect modeling examined relationships between cumulative SES risk and serum NfL, controlling for covariates and assessing time effects. Utilizing 11-year longitudinal data, serum NfL levels increased with age. Higher cumulative SES risk at baseline correlated with elevated serum NfL at the 11-year follow-up and predicted a greater increase in NfL levels. Clinically, NfL is a sensitive biomarker for axonal injury and neurodegeneration, commonly used to detect early and preclinical stages of conditions such as Alzheimer's disease (AD), multiple sclerosis, and other neurodegenerative disorders. Our results suggest that exposure to cumulative SES risk among Black adults may contribute to elevated levels of NfL, indicating potential early neurodegeneration. Given the established role of NfL in detecting neurodegenerative processes, these findings underscore the importance of interventions that bolster social safety nets and social connectedness to enhance brain health and mitigate neurodegenerative risks.

Impact and determinants of depression in cardiac hospitalized patients

Abstract Depression increases cardiovascular risk and involves worse clinical outcomes. Little attention is paid to it in hospitalized patients. We studied prevalence and determinants of depression in this group, in order to select patients for further specific management. Methods Consecutive patients admitted to Cardiology wards were included. Cardiovascular risk factors, clinical and psychosocial data were collected. Self perceived mental and physical health quality were assesed by 12-item Short Form survey (SF-12), and Hospital Anxiety and Depression Scale (HADS) questionnaires were administered. Statistical analysis was performed using Spearman´s correlation, Mann-Whitney and Fisher tests, and Mantel-Cox, linear and logistic regression analyses. Results 170 consecutive patients, median age 74.5 (67.2-81.1), 59.4% male, were included. Most common pathologies were heart failure (44.7%) and coronary syndroms (28.8%). According to HADS results, depression was probable (score >10) in 10%, and at least possible (score > 8) in 27.1%. Both increased duration of hospitalization (Median 14 vs 7 days;p=0.016 and 11 vs 7 days;p=0.005 respectively). Anxiety was present in 16.5 % for probable case and 34.1% for possible case, with no significant change in median duration of hospitalization. 22.9% of patients were under antidepressant treatment, and 24% under anxiolytics, but they were added to treatment only in 1% and 7% respectively. No other not pharmacological measure was initiated. Self perceived mental health was diminished in probable depression (mean difference 14.9%;95%IC 9.7-20.2;p<0.001). Self perceived physical health was also lower (mean difference 6.4%;95%CI:1.1-11.8;p=0.016). Patients with depression were a mean of 5.6 years older (95%CI 1.4-9.8;p=0.032). Less than primary education (OR 5.69 (p 0.021), and Previous hospital admission OR 3.2 (1.0-10.3;p=0.034) increased the risk of depression in univariate analysis. By multivariate analysis, determinants of depression were anxiety (OR 22.5;95%CI 5.9-85.6;p<0.0001), need for surgery (OR 12.3;95%IC 2.1-73.2;p=0.009), need for intensive care unit surveillance (OR 4.2;95%CI 1.1-15.8;p=0.039), and age (OR 1.1;95%IC 1.0-1.2;p=0.001. AUC was 0.89;95%CI 0.81-0.96;p<0.0001. There was no difference in civil status, gender, income level, living accompanied, number of comorbidities, cardiovascular risk factor or reason for hospital admission. Conclusions Depression was prevalent in our hospitalized cardiac patients,in spite of previous pharmacological treatment. It prolongs duration of stay and impacts negatively in self perceived mental and physical health. Risk is increased in older people requiring intensive care surveillance or surgery, and specially by anxiety. These patients could benefit from a preventive multifactorial approach. Attention should also be paid to patients with a previous hospitalization and low educational level.ROC curve for multivariate model

Prevalence and factors associated with postpartum depression among Bhutanese mothers: a cross-sectional study.

This study investigated the prevalence of postpartum depression (PPD) and explored associated factors among mothers attending postnatal care in Bhutan. A cross-sectional study was conducted from August to November 2023 at a national referral hospital in Thimphu, the capital city of Bhutan. In total, 314 mothers were recruited. Sociodemographic, psychosocial, obstetric, and infant-related data were collected using questionnaires. The Edinburgh Postnatal Depression Scale, with a threshold of ≥11, was employed to screen for PPD, and logistic regression was used to test the potential factors. The prevalence of PPD was 14.97%. Mothers with a perceived change in body image (adjusted odds ratio [AOR], 4.40; 95% confidence interval [CI], 1.91-10.17; p=.001), perceived heightened stress after delivery (AOR, 3.74; 95% CI, 1.45-9.67; p=.006), poor relationship with inlaws (AOR, 2.57; 95% CI, 1.24-5.30; p=. 011), and negative birth experience (AOR, 2.42; 95% CI, 1.17-5.00; p=.016) demonstrated significantly higher odds of developing PPD. However, mothers with a higher monthly family income (Bhutanese ngultrum [Nu.] 20,000 to <50,000; AOR, 0.35; 95% CI, 0.13-0.92; p=.033), ≥Nu. 50,000 (AOR, 0.37; 95% CI, 0.13-1.07, p=.067) compared to <Nu. 20,000, and advanced gestational age (37 to <41 weeks; AOR, 0.25; 95% CI, 0.09-0.71; p=.009) and ≥41 weeks (AOR, 0.08; 95% CI, 0.00-0.75; p=.028) compared to <37 weeks had significantly lower risks of PPD. To mitigate the prevalence and risk of PPD, prioritizing screening strategies and interventions may benefit mothers with perceived changes in body image and heightened perceived stress after delivery, poor relationships with in-laws, and those with negative birth experiences.

The ‘AfterBurn’ Longitudinal Exploratory (ABLE) study: Cohort profile

With advanced medical treatments more burns patients survive their injuries, requiring a better understanding of the quality-of-life outcomes experienced after the burn. The aims of the ABLE study cohort profile are to describe the baseline characteristics. The study included participants aged 18 years or over, admitted to a single state-wide burns centre in Queensland, Australia with a ‘major burn injury’. Baseline survey data were collected either in person or by telephone within 28 days of the injury and participants were followed up with in-person, or telephone interviews at 3-, 6- and 12-months post-burn. Injury and burns treatment information were collected from medical records or the hospital database and surveys collected demographic and psychosocial data. Health-Related Quality of Life (HRQoL) data were collected using the 12-item Short Form Survey – version 1 (SF-12v1) and the Burn Specific Health Scale – Brief version (BSHS-B). Of the 274 participants recruited, 71.5 % (N = 196) remained enrolled in the study at 12 months post-burn. The median age for the cohort was 41.5 years (range 18 to 87 years) and the majority were male (72 %) as well as non-Indigenous Australians (76 %). The median Total Body Surface Area (TBSA) burned was 4.75 % (IQR=1.5–10.13) with a range of 0.1 % to 79.75 %. The largest percentage of participants sustained a flame burn (N = 129, 47.1 %) followed by scald (N = 56, 20.4 %) then contact burn (N = 54, 19.7 %). Fewer participants were injured by chemical (N = 14, 5.1 %), friction (N = 11, 4 %), and electrical burns (N = 6, 2.2 %). There were 37.9 % participants who reported having been diagnosed with a psychological condition prior to their burn injury. These findings provide an overview of baseline characteristics with a greater understanding of personal, environmental, burn injury and burn treatment factors in a state-wide burn centre.

Inspiratory Muscle Trainer Versus Diaphragmatic Breathing Exercise on 6-Minute Walk Test in Adolescent Girls with End-Stage Renal Disease

Objective: Inspiratory muscle weakness (IMW) is very common among adolescents with end-stage renal disease (ESRD). Untreated IMW in ESRD adolescents induces acute and chronic pulmonary complications, low physical performance, and impairment in quality of life (QoL). This was a 12-week breathing-retraining trial that compared the effects of threshold inspiratory muscle trainer (TIMT) versus the diaphragmatic breathing exercise procedure (DBEP), on ESRD adolescent girls’ maximal inspiratory pressure (MIP) and QoL, which was assessed by the Child Health Questionnaire (50-item parent form) (CHQ/PF50), pulmonary functions, and six-minute walk test (6MWT).Material and Methods: This breathing-retraining trial enrolled forty adolescent girls with ESRD. The girls were randomly divided into two groups: one group contained twenty girls that were trained by TIMT, while the other group contained 20 girls whom were trained by DBEP. The 20-minute rehabilitation of IMW by TIMT or DBEP was applied 3 times weekly. Adolescent girls’ forced vital capacity (FVC), CHQ/PF50-related score of physical summary, MIP, 6MWT, CHQ/PF50-related score of psychosocial summary, forced expiratory volume in the first second of girls’ expiration (FEV1), and 6MWT-associated physiological data (blood pressure, heart rate, and rate of perceived exertion) were assessed.Results: All outcomes of adolescent girls with ESRD in the first group that were trained by TIMT showed significant improvements, whereas the other group’s girls did not show the same reported significant improvements. Conclusion: Compared to DBEP, the 12-week training by TIMT significantly improved ESRD adolescent girls’ FVC, CHQ/PF50-related score of physical summary, MIP, 6MWT, CHQ/PF50-related score of psychosocial summary, FEV1, and 6MWT-associated physiological data.

A - 89 Systemic Inflammation and Cognitive Performance during Mid-Life: a Complex Longitudinal Relationship

Abstract Objective Systemic inflammation, such as interleukin-6 (IL-6) and C-reactive protein (CRP), can affect an individual’s functioning and is a consequence of stress-related physiological changes, especially as one ages. Cognitive functioning is a critical factor of healthy aging and strongly associated with sleep and chronic conditions/symptoms. IL-6 can induce CRP production, leading to downstream effects, however IL-6 levels may also contextualize how CRP may be linked to cognition. Methods Using MIDUS waves 2 (M2) and 3 (M3) data, the participants included 770 adults (58.1% Female; 84.9% white; 53.28 ± 10.7 years) who completed two BTACT cognitive assessments over a ten-year period and provided blood samples and psychosocial self-report data at M2. Using PROCESS macro (model 1), we examined the interaction of proinflammatory markers on cognitive decline. Results M2 IL-6 interacted with M2 CRP to predict M3 cognition while accounting for age, education, race, gender, sleep, and M2 cognition (ΔR2 = 0.002, F(1,759) = 4.74, p = 0.030). Specifically, among those with lower IL-6, their CRP levels were negatively linked to M3 cognitive performance (b = −0.114, p = 0.007), while for those with higher IL-6, there was no relationship (b = −0.008, p = 0.842). Conclusion Findings suggest that a dynamic relationship exists between inflammatory markers and cognitive function. Not only can IL-6 directly affect CRP, it may also provide additional context on how a clinically relevant inflammatory marker may be related to cognitive decline. From a stress and adaptive systems lens, further research should investigate how IL-6 may highlight the accumulation of stressful life events or other chronic psychosocial factors, using a more holistic approach to cognitive aging.

The relevance of risk perception and coping strategies for COVID-19 situation reports

Introduction: Various measures have been implemented worldwide to contain the COVID-19 pandemic. In contrast to epidemiological data, psychosocial parameters such as coping strategies in the population were rarely considered in assessments of the course of the pandemic, a point that experts criticized. Based on the transactional model of stress and coping as well as the psychometric paradigm of risk perception, this paper addresses the relevance of psychosocial data for COVID-19 situation reports by highlighting the role of risk perception and coping within the German population. Method: We collected quantitative data on risk perception and coping strategies in four surveys conducted at the height of the COVID-19 pandemic in 2020 and 2021 in Germany. We present descriptive as well as bivariate results to examine our research questions statistically. Results: Data contribute to psychosocial aspects of the general situation report such as variations of risk perception during the pandemic (e.g., declining risk perception) and by sociodemographic (e.g., age) as well as location. Furthermore, Germans characterize the COVID-19 pandemic as a crisis with catastrophic potential, but as easily reducible through behavior. Besides, coping strategies are more problem-focused and most respondents listen to experts’ advice and try to behave appropriately. Conclusion: These data are helpful and necessary to provide a complete and substantial situation report in crises and disasters and support crisis managers and public authorities to adequately address the public regarding their concerns.

Significance of Machine Learning Algorithms to Improve Predictive Analytics in Chronic Disease Management through Pharmacogenomics

The treatment of chronic diseases is an important concern in global health. Machine learning (ML)-based disease prediction models are becoming more important for making informed medical decisions in light of the paradigm shift towards preventative care. Integrating genetic, pharmacogenomic, personal health, and psychosocial data can greatly assist healthcare practitioners in making treatment-related decisions for patients with chronic diseases. This study utilizes a Deep Convolutional Neural Network-assisted Chronic Disease Management (DCNN-CDM) through pharmacogenomics and an improved predictive analytics model to enable informed real-time decision-making at the point of care. Data augmentation in terms of feature space allows the DCNN model to avoid over-fitting while effectively capturing high-level features submerged in chronic disease datasets. Afterwards, this work suggests an attention-empowered DCNN model to enhance sick case diagnosis accuracy, which augments data regarding sample space, thereby alleviating the class imbalance issue. Electronic health information data mining is now using predictive analytics to determine individuals at risk of acquiring chronic disease problems. The suggested model may aid in the early and accurate diagnosis of chronic diseases. The numerical outcomes demonstrate that the recommended DCNN-CDM model increases the accuracy rate of 98.7%, patient monitoring rate of 97.5%, F1-score rate of 96.3% and predictive performance rate of 95.1% compared to other existing methodologies.

Depressive symptoms over the final menstrual period: Study of Women's Health Across the Nation (SWAN)

BackgroundWomen may be vulnerable to elevated depressive symptoms during the menopause transition (MT). Studies generally have not considered premenopausal depressive symptom history or examined symptoms in relation to the final menstrual period (FMP). ObjectiveTo identify specific time points in relation to the FMP when depressive symptoms increase or decrease. MethodsParticipants were 1582 multiracial/ethnic women from the longitudinal Study of Women's Health Across the Nation (SWAN). Biological, psychosocial, and depressive symptom data were collected approximately annually. Depressive symptoms were measured by the Center for Epidemiological Studies-Depression (CESD) scale. ResultsWomen with high baseline depressive symptoms (CES-D ≥ 16) declined in symptoms (M = −1.04/yr., 95 % CI = −1.58, −0.50) until 4 years before the FMP, followed by a smaller decrease (M = −0.50/yr., 95 % CI = −0.72, −0.28) until 18 months after the FMP. Depressive symptoms increased (M = 0.21/yr., 95 % CI = 0.11, 0.30) in those with low baseline symptoms until 1 year before the FMP, and decreased (M = −0.06/yr., 95 % CI = −0.11, −0.008) going forward. Greater social support, higher levels of follicle stimulating hormone and estradiol, and less sleep disturbance contributed to greater decline in depressive symptoms among those with high baseline depressive symptoms. Anxiety, experiencing stressful life events, lower body mass index, and poor role-physical function contributed to an increase in depressive symptoms among those with low baseline symptoms. LimitationsExcluded women had higher baseline CES-D scores. Lacked pre-MT depression for pre/early perimenopausal women at baseline. ConclusionAccounting for baseline depressive symptom level and focusing on the FMP more precisely characterize depressive symptom change over the MT.

Resilience Intervention Improves Stress-Related Gene Expression in Adolescent and Young Adult HCT Recipients

Overactivation of the stress response can influence cancer outcomes through immune-related pathways. Adolescents and young adults (AYAs) undergoing hematopoietic cell transplantation (HCT) are at risk for poor outcomes, yet there are limited behavioral interventions and no psychosocial biomarker data for this population. The Conserved Transcriptional Response to Adversity (CTRA) is an inflammation-related pattern observed in conditions of heightened stress and is associated with HCT outcomes. The objective of the current study was to explore the CTRA gene regulatory impact of Promoting Resilience in Stress Management (PRISM) intervention among AYAs receiving HCT. We hypothesized that patients who received the intervention would have favorable gene expression signatures compared to those in the control arm. This was an ancillary study within a randomized trial testing the PRISM intervention on psychosocial outcomes among AYAs aged 12 to 24 years receiving HCT (NCT03640325). CTRA was quantified through genome-wide transcriptional profiles obtained from whole blood collected at baseline, 1-, and 3-month post-HCT. Group differences in CTRA gene expression were estimated using mixed-effect linear models. There were no baseline group differences in CTRA expression, but PRISM participants showed a greater decline in CTRA at 1 month compared to controls (β -0.301 ± SE 0.114, P = .016), even when controlling for demographic (Group × Time interaction: F(2, 18) = 7.41, P = .004; β -0.386 ± 0.127, P = .007) and clinical covariates (Group × Time interaction: F(2, 20) = 7.03, P = .005; β -0.480 ± 0.144, P = .003). These differences were not detectable at 3 months (β -0.147 ± SE 0.120, P = .235). There was a change in stress-related gene expression among AYAs randomized to a psychosocial intervention. The stress-inflammation axis may be a targetable pathway in the AYA HCT population.

Cohort profile: study design and baseline characteristics of an observational longitudinal weight loss cohort and biorepository of patients undergoing sleeve gastrectomy in the USA

PurposeWe developed a comprehensive sleeve gastrectomy (SG) weight loss study cohort and biorepository to uncover mechanisms, biomarkers and predictive factors of weight loss, weight maintenance and amelioration of obesity-related comorbidities....

Transitions of care for adolescents with disorders of gut-brain interaction.

Little is known about the experience of adolescents and young adults (AYA) with disorders of gut-brain interaction (DGBI) who transition from pediatric to adult gastroenterology care. In this two-part study, we used quantitative and qualitative methods to: (1) assess incidence of optimal versus suboptimal transitions of care for AYA with DGBI, (2) characterize health and quality of life effects of the transition, and (3) identify barriers and facilitators for optimal transition of care. In Part 1, we conducted a retrospective review of AYA referrals to our adult neurogastroenterology clinic who had transitioned from pediatric gastroenterology care (N = 109, 17-23 years, 72% female). We collected demographic, psychosocial, and healthcare utilization data to determine rate and risk factors for suboptimal transitions. In Part 2, we recruited 24 AYA and parents (n = 19 AYA, n = 5 parents) for completion of a survey and semistructured interview, which was analyzed using validated rapid qualitative analysis method. In Part 1, 20% (22/109) of AYA met the criteria for suboptimal transition of care, which was associated with treatment adherence concern and functional impairment. In Part 2, we identified two principal themes: (1) AYA's health and quality of life are impacted during the transition, and (2) parental involvement and collaboration with pediatric gastrointestinal (GI) are facilitators to successful transitions, whereas access to care and practice style change are barriers. AYA with DGBI have high rates of suboptimal care transitions, affecting their health and quality of life. Our study highlights the need for a comprehensive approach that incorporates parents and pediatric providers.

Unraveling the physiological and psychosocial signatures of pain by machine learning.

Pain is a complex subjective experience, strongly impacting health and quality of life. Despite many attempts to find effective solutions, present treatments are generic, often unsuccessful, and present significant side effects. Designing individualized therapies requires understanding of multidimensional pain experience, considering physical and emotional aspects. Current clinical pain assessments, relying on subjective one-dimensional numeric self-reports, fail to capture this complexity. To this aim, we exploited machine learning to disentangle physiological and psychosocial components shaping the pain experience. Clinical, psychosocial, and physiological data were collected from 118 chronic pain and healthy participants undergoing 40 pain trials (4,697 trials). To understand the objective response to nociception, we classified pain from the physiological signals (accuracy >0.87), extracting the most important biomarkers. Then, using multilevel mixed-effects models, we predicted the reported pain, quantifying the mismatch between subjective level and measured physiological response. From these models, we introduced two metrics: TIP (subjective index of pain) and Φ (physiological index). These represent possible added value in the clinical process, capturing psychosocial and physiological pain dimensions, respectively. Patients with high TIP are characterized by frequent sick leave from work and increased clinical depression and anxiety, factors associated with long-term disability and poor recovery, and are indicated for alternative treatments, such as psychological ones. By contrast, patients with high Φ show strong nociceptive pain components and could benefit more from pharmacotherapy. TIP and Φ, explaining the multidimensionality of pain, might provide a new tool potentially leading to targeted treatments, thereby reducing the costs of inefficient generic therapies. RESC-PainSense, SNSF-MOVE-IT197271.

Detecting and Predicting Cognitive Decline in Individuals with Traumatic Brain Injury: A Longitudinal Telephone-Based Study.

Traumatic brain injuries (TBIs) can lead to long-lasting cognitive impairments, and some survivors experience cognitive decline post-recovery. Early detection of decline is important for care planning, and understanding risk factors for decline can elucidate targets for prevention. While neuropsychological testing is the gold standard approach to characterizing cognitive function, there is a need for brief, scalable tools that are capable of detecting clinically significant changes in post-TBI cognition. This study examines whether a clinically significant change can be detected using the Brief Test of Adult Cognition by Telephone (BTACT) in a sample of individuals with chronic TBI and investigates whether potentially modifiable factors are associated with cognitive decline. Ninety participants aged 40 or older with complicated mild-to-severe TBI participated in two telephone-based study visits ∼1 year apart. Demographic, head trauma exposure, comorbid medical conditions, physical, and psychosocial functioning data were collected via self-report. The BTACT, a brief measure of global cognitive function, was used to assess cognitive performance across six domains. A reliable change index for quantifying clinically significant changes in BTACT performance was calculated. Results revealed cognitive decline in 10-27% of participants across various cognitive domains. More specifically, only depressive symptoms, including depressed affect and anhedonia, were significantly associated with cognitive decline after correcting for multiple comparisons using false discovery rate (FDR). Other factors such as the number of blows to the head, male gender, dyspnea, increased anxiety symptoms, seizures, illicit drug use, and fewer cardiovascular comorbidities should be considered hypothesis generating. Importantly, age was not a significant predictor of cognitive decline, which challenges the assumption that cognitive decline is solely related to the natural aging process. It suggests that there are unique factors associated with TBI that impact cognitive function, and these factors can affect individuals across the lifespan. The BTACT is a brief and sensitive tool for identifying clinically meaningful changes in cognitive function over a relatively brief period (i.e., 1 year) in a sample of individuals in the chronic stages of TBI (i.e., x̄ = 6.7 years post-TBI). Thus, the BTACT may be useful in surveillance efforts aimed at understanding and detecting decline, particularly in situations where in-person cognitive screening is impractical or unfeasible. We also identified potentially modifiable targets for the prevention of post-TBI cognitive decline. These findings can offer insights into treatment goals and preventive strategies for individuals at risk for cognitive decline, as well as help to facilitate early identification efforts.

Improving treatment completion for young adults with substance use disorder: Machine learning-based prediction algorithms

Substance use disorder (SUD) treatment completion was intertwined with various factors. However, few studies have explored the intersections of psychosocial and system-related factors with SUD treatment completion, particularly for individuals receiving publicly funded SUD treatment services. This study aimed to examine the intersections of these factors with treatment completion. We analyzed the psycho-social assessment data of 2909 young adults who participated in publicly funded outpatient-based substance use treatments in 2021. The Chi-square Automatic Interaction Detection (CHAID) approach was employed to examine intersections for SUD treatment completion. The analysis highlights the significance of multiple factors and their interactions in predicting SUD treatment completion. The results indicate that SUD treatment outcomes varied based on the level of improvement rates in total actionable items (TAI) improvement rates, underscoring the importance of monitoring individual progress in treatment. Specifically, among young adults with the highest TAI, those residing in rural communities were less likely to complete treatment compared to their urban counterparts. For individuals with TAI improvement rates at the middle level, there was a significant intersection with criminal justice involvement. Within this subgroup, individuals who had both justice system involvement and opioid use disorders had a relatively low SUD treatment completion rate, while those with non-opioid-related SUD exhibited a higher completion rate. The study illustrates the importance of considering multiple factors and their interactions, including TAI improvement rates, family strengths, demographic characteristics, and social determinants, in predicting SUD treatment completion among young adults.

Employing Reflexivity in Sexuality Socialisation Research: A Methodological Contribution from Psychosocial Studies

In this paper, we describe and demonstrate the value of adopting a psychosocial methodology to explore unique sexual socialisation experiences emphasising the role of reflexivity. Psychosocial methodology emerges from Psychosocial Studies, a “transdisciplinary” area interested in phenomena from “both” a social and personal perspective and in this paper is employed to investigate how sexual socialisation is shaped by psychological processes “and” social relations, and how these can be “thought together” (Frosh &amp; Vyrgioti, 2022). Psychosocial data analytic strategies involve applying narrative and discursive psychology alongside psychoanalytic concepts to understand the possible reasons for a participant’s investment in particular discourses, understanding these investments as serving unique unconscious defensive purposes, alongside social functions. To illustrate this, we use data from a Free Association Narrative Interview with an isiXhosa-speaking “Black” socioeconomically disadvantaged woman in South Africa about her experiences of sexuality socialisation within her sister-sister relationship. We show how a psychosocial emphasis traverses traditional boundaries between discourse and affect, talk and experience, researcher and researched, moving across disciplinary spaces. Furthermore, we pay attention to what is frequently considered the background of research – the study context; the emotional quality of the interview encounter between the researcher and participant; the researchers’ relationship with one another and their contribution to both the data production and analysis. This emphasis on reflexivity in psychosocial methodology is consistent with the political and philosophical position of Psychosocial Studies that is critical of the reification of disciplinary knowledge.

Allergies. there are People who are Born with Allergies, and there are others who Develop them after Years of Consuming an Aliment without any Problem

Survey collected demographic, psychosocial, and allergic data from 108 food allergy sufferers (85% female; 18-87). Following that, participants completed a two-week online diary survey on stress, mood, and energy and a 25-item food allergy checklist (based on iii Study 1) throughout the day. Daily polls show widespread allergies. Food allergies, the cost of avoiding particular foods, the anxiety of food safety concerns, the difficulty of maintaining a balanced diet, and the pressure of social activities centred on food were all issues. Allergy days increased stress and negativity, according to multilevel studies. Seniors were less energetic on allergy days. Rural and suburban communities frequently do better than smaller cities. Character may affect food allergy management. This study supports the first's results While food allergy rates are rising, little is known about its practical effects. This research sought to identify food allergy sufferers' issues, measure how much they affect daily life, explore how demographic and psychological factors affect food allergies, and devise solutions to help them. Study 1's qualitative results informed Study 2's quantitative findings. (2). The first research examined dietary allergies and health-related quality of life. Focus groups with four demographics helped researchers understand food allergy problems. Lifelong consumer susceptibility. Vulnerability depended on demographics, food allergy awareness, prejudice and stigma, pricing and availability of allergen-free choices, food label clarity, and restaurant wait staff skill (external conditions). The second research examined how much food allergy symptoms affected daily living (in terms of stress, mood, and energy levels). An online on food allergy prevalence and stress.

Self-Compassion is Associated with Improved Well-Being and Healthier Cortisol Profiles in Undergraduate Students

ObjectivesStress is highly prevalent in college students. Self-compassion, the tendency to respond in a caring manner to one’s own suffering or failures, reduces psychological distress and promotes mental health. Self-compassion may also influence physiological manifestations of stress; however, research is limited. Among undergraduate students over the course of an academic semester, we explored the associations of self-compassion with stress-related psychological variables including measures of affect, anxiety, and depressive symptoms. We also examined daily patterns of salivary cortisol over four days: diurnal slope, mean, and day-to-day cortisol rhythm stability.MethodThis sample of undergraduate students from introductory psychology courses in a large United States Midwestern university was predominantly non-Hispanic White (71.2%) and female (86.4%). All data were collected prior to final exams. After providing baseline psychosocial data, participants engaged in a 2-week mindfulness intervention: They were provided an iPod loaded with audio tracks based on the well-known Mindfulness-Based Stress Reduction intervention, but received no face-to-face instruction. Fifty-nine participants provided self-report demographic and medical data and completed the saliva sampling regimen over the first 4 days of the intervention. Diurnal salivary cortisol was assessed immediately after waking and again at bedtime over four consecutive days.ResultsHierarchical multiple regressions replicated previous findings showing that self-compassion is associated with higher positive and lower negative affect, lower perceived stress, and fewer symptoms of anxiety and depression. Regression models controlling for oral contraception and tobacco use revealed a positive association of self-compassion with healthy cortisol profiles marked by steeper diurnal cortisol slopes and increased regularity of the inter-daily cortisol slope.ConclusionsThese results confirm that self-compassion may be protective against the psychological and physiological manifestations of stress in college. Kind and compassionate responses to one’s own struggles may shield students from the adverse effects of stress. The potential mechanisms underlying these associations are worthy of future research.PreregistrationThis study is not preregistered.

Alcoholic Etiology, Severity of Liver Disease, and Post-Transplant Adherence Are Correlated with Worse Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) in Liver Transplant Candidates.

Introduction: Psychosocial pre-transplant evaluation in patients undergoing liver transplantation (LT) could help identify those patients at higher risk of pharmacological non-adherence, organ rejection, and mortality. The Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) is a validated tool for assessing LT candidates' psychosocial well-being. Data on the ability of the SIPAT evaluation to predict post-transplant outcomes are sparse. Material and Methods: clinical and psychosocial data from a sample of 134 candidates for LT were analyzed. Moreover, the association between pre-transplant psychosocial evaluation and post-transplant clinical outcomes, including organ rejection, mortality, and immunosuppressant drug adherence, was calculated. Results: At the pre-transplant evaluation, patients who showed high SIPAT scores (77, 57%) also had more liver disease assessed by model for end-stage liver disease (MELD; F = 5.04; p < 0.05), alcoholic etiology (F = 35.80; p < 0.001), encephalopathy (F = 5.02; p < 0.05), and portal hypertension (F = 7.45; p < 0.01). Of the 51 transplant patients, those who had a high pre-transplant SIPAT score showed lower post-transplant immunosuppressive adherence, linked to more frequent immunological events. Conclusions: Patients with an alcoholic etiology of liver disease and more severe liver dysfunction are likelier to not adhere to medical prescriptions following transplantation. Current data suggests that this specific group of patients could benefit from early psychological pre-habilitation before undergoing liver transplantation.