Multimodal approach to address the multifaceted nature of Chronic Musculoskeletal Disorders: Bridging the gap between research and clinical practice.

Musculoskeletal (MSK) disorders encompass various conditions impacting bones, muscles, tendons, ligaments, and nerves. An estimated 1.71 billion individuals globally have MSK disorders, causing disability and reduced quality of life. Literature contradicts the notion that musculoskeletal pain and disability solely arise from physical impairments; psychological, behavioural, and social factors contribute significantly. These facets influence pain perception and chronic impairment development. Common interventions-medication, exercise, manual and hydrotherapy, electro-thermal modalities, behavioural and alternative therapies-address pain individually, yet lack the comprehensive response required. In contrast, a multimodal approach combines diverse therapies tailored to individual needs. It ensures lasting symptom relief, prevents recurrence, and improves function. Although proven effective, clinical implementation of this approach remains limited. This mini-review discusses the reasons behind this gap, underscores multimodal approach importance, and enlightens rehabilitation professionals on its potential for managing chronic musculoskeletal issues.

Linking social reward responsiveness and affective responses to the social environment: An ecological momentary assessment study.

Social support is a key predictor of well-being, but not everyone experiences mental health benefits from receiving it. However, given that a growing number of interventions are based on social support, it is crucial to identify the features that make individuals more likely to benefit from social ties. Emerging evidence suggests that neural responses to positive social feedback (i.e., social reward) might relate to individual differences in social functioning, but potential mechanisms linking these neural responses to psychological outcomes are yet unclear. This study examined whether neural correlates of social reward processing, indexed by the reward positivity (RewP), relate to individuals' affective experience following self-reported real-world positive social support events. To this aim, 193 university students (71% females) underwent an EEG assessment during the Island Getaway task and completed a 10-day ecological momentary assessment where participants reported their positive and negative affects (PA, NA) nine times a day and the count of daily positive and negative events. Experiencing a higher number of social support positive events was associated with higher PA. The RewP moderated this association, such that individuals with greater neural response to social feedback at baseline had a stronger positive association between social support positive events count and PA. Individual differences in the RewP to social feedback might be one indicator of the likelihood of experiencing positive affect when receiving social support.

Social Determinants of Health and Limitation of Life-Sustaining Therapy in Neurocritical Care: A CHoRUS Pilot Project.

BACKGROUND: Social determinants of health (SDOH) have been linked to neurocritical care outcomes. We sought to examine the extent to which SDOH explain differences in decisions regarding life-sustaining therapy, a key outcome determinant. We specifically investigated the association of a patient's home geography, individual-level SDOH, and neighborhood-level SDOH with subsequent early limitation of life-sustaining therapy (eLLST) and early withdrawal of life-sustaining therapy (eWLST), adjusting for admission severity. METHODS: We developed unique methods within the Bridge to Artificial Intelligence for Clinical Care (Bridge2AI for Clinical Care) Collaborative Hospital Repository Uniting Standards for Equitable Artificial Intelligence (CHoRUS) program to extract individual-level SDOH from electronic health records and neighborhood-level SDOH from privacy-preserving geomapping. We piloted these methods to a 7 years retrospective cohort of consecutive neuroscience intensive care unit admissions (2016-2022) at two large academic medical centers within an eastern Massachusetts health care system, examining associations between home census tract and subsequent occurrence of eLLST and eWLST. We matched contextual neighborhood-level SDOH information to each census tract using public data sets, quantifying Social Vulnerability Index overall scores and subscores. We examined the association of individual-level SDOH and neighborhood-level SDOH with subsequent eLLST and eWLST through geographic, logistic, and machine learning models, adjusting for admission severity using admission Glasgow Coma Scale scores and disorders of consciousness grades. RESULTS: Among 20,660 neuroscience intensive care unit admissions (18,780 unique patients), eLLST and eWLST varied geographically and were independently associated with individual-level SDOH and neighborhood-level SDOH across diagnoses. Individual-level SDOH factors (age, marital status, and race) were strongly associated with eLLST, predicting eLLST more strongly than admission severity. Individual-level SDOH were more strongly predictive of eLLST than neighborhood-level SDOH. CONCLUSIONS: Across diagnoses, eLLST varied by home geography and was predicted by individual-level SDOH and neighborhood-level SDOH more so than by admission severity. Structured shared decision-making tools may therefore represent tools for health equity. Additionally, these findings provide a major warning: prognostic and artificial intelligence models seeking to predict outcomes such as mortality or emergence from disorders of consciousness may be encoded with self-fulfilling biases of geography and demographics.

Analyzing the geographic influence of financial inclusion on illicit drug use in Nigeria.

Nigeria grapples with a formidable public health concern, as approximately 14 million individuals partake in illicit drug use (IDU). This predicament significantly impacts psychiatric disorders, suicides, disability, and mortality rates. Despite previous investigations into predictors and remedies, the role of financial inclusion (FI) remains inadequately explored. Leveraging existing literature on FI and population health, this study asserts that bolstering FI could be instrumental in mitigating IDU prevalence in Nigeria. We employ spatial analysis to scrutinize the influence of FI and other social factors on IDU, revealing a 14.4 % national prevalence with spatial variations ranging from 7 % in Jigawa state to 33 % in Lagos state. Significant IDU hotspots were identified in the southwest states, while cold spots were observed in the Federal Capital Territory and Nassarawa. Multivariate spatial analysis indicates that FI, income, unemployment, and the proportion of the young population are pivotal predictors of IDU nationwide, explaining approximately 67 % of the spatial variance. Given these findings, the study advocates heightened levels of FI and underscores the need for intensified government initiatives to prevent and address illicit drug use.

Morbidity and prevalence of diseases of the circulatory system in the adult population of the Kyiv region, including the working-age population.

OBJECTIVE: Aim: To analyze the incidence and prevalence of diseases of the circulatory system in the adult population of the Kyiv oblast region, including the able-bodied population. PATIENTS AND METHODS: Material and Methods: Medical history records on cardiovascular diseases were the materials, and statistical methods of medical and social data procession were used in the study. RESULTS: Results: The distribution of cardiovascular diseases in the adult population of the Kyiv oblast region was highlighted. The districts with the lowest and highest rates of myocardial infarction, strokes, ischemic disease and hypertension were found. The trends in relevant morbidity were described. CONCLUSION: Conclusions: When analyzing data from statistical reporting, it was established that before the start of a full-scale invasion and partial quarantine restrictions due to the spread of SARS-CoV-2, the incidence of diseases in the circulatory system was characterized by significant unevenness across administrative units. However, a specific area with the highest morbidity was not singled out, only in respect of which it would be necessary to carry out measures to improve the provision of medical cardiology care. In general morbidity, areas with the highest levels of morbidity were established, which need to improve the provision of cardiac care, as this is a negative socio-economic factor with the need for intervention measures.

Barriers Experienced by Community-Dwelling Older Adults Navigating Formal Care: Evidence From an Australian Population-Based National Survey.

OBJECTIVES: This study aims to identify the relationship between psychosocial factors and unmet needs among community-dwelling older adults who have received or who expect to receive formal home-based aged care services. METHODS: A subsample of the national Survey of Disability, Ageing and Carers was used to examine the prevalence of having any unmet needs among older adults navigating care. We also examined associations between older adults' psychosocial factors and their unmet needs using logistic regression. RESULTS: Regression analyses highlighted that perceived social isolation (OR = 1.62, 95% CI: 1.30-2.01), high/very high psychological distress (OR = 2.11, 95% CI: 1.52-2.93), and occasional assistance from informal support (OR = 1.92, 95% CI: 1.22-3.05) were associated with increased odds of having unmet needs, after adjusting for other covariates. DISCUSSION: Our study suggests that older adults facing psychosocial difficulties or lacking informal support are more likely to encounter barriers in accessing formal care. Future policy should address the psychosocial needs and support networks of older adults.

Social Factors Associated With Nutrition Risk in Community-Dwelling Older Adults in High-Income Countries: Protocol for a Scoping Review.

BACKGROUND: In high-income countries (HICs), between 65% and 70% of community-dwelling adults aged 65 and older are at high nutrition risk. Nutrition risk is the risk of poor dietary intake and nutritional status. Consequences of high nutrition risk include frailty, hospitalization, death, and reduced quality of life. Social factors (such as social support and commensality) are known to influence eating behavior in later life; however, to the authors' knowledge, no reviews have been conducted examining how these social factors are associated with nutrition risk specifically. OBJECTIVE: The objective of this scoping review is to understand the extent and type of evidence concerning the relationship between social factors and nutrition risk among community-dwelling older adults in HICs and to identify social interventions that address nutrition risk in community-dwelling older adults in HICs. METHODS: This review will follow the scoping review methodology as outlined by the JBI Manual for Evidence Synthesis and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. The search will include MEDLINE (Ovid), CINAHL, PsycINFO, and Web of Science. There will be no date limits placed on the search. However, only resources available in English will be included. EndNote (Clarivate Analytics) and Covidence (Veritas Health Innovation Ltd) will be used for reference management and removal of duplicate studies. Articles will be screened, and data will be extracted by at least 2 independent reviewers using Covidence. Data to be extracted will include study characteristics (country, methods, aims, design, and dates), participant characteristics (population description, inclusion and exclusion criteria, recruitment method, total number of participants, and demographics), how nutrition risk was measured (including the tool used to measure nutrition risk), social factors or interventions examined (including how these were measured or determined), the relationship between nutrition risk and the social factors examined, and the details of social interventions designed to address nutrition risk. RESULTS: The scoping review was started in October 2023 and will be finalized by August 2024. The findings will describe the social factors commonly examined in the nutrition risk literature, the relationship between these social factors and nutrition risk, the social factors that have an impact on nutrition risk, and social interventions designed to address nutrition risk. The results of the extracted data will be presented in the form of a narrative summary with accompanying tables. CONCLUSIONS: Given the high prevalence of nutrition risk in community-dwelling older adults in HICs and the negative consequences of nutrition risk, it is essential to understand the social factors associated with nutrition risk. The results of the review are anticipated to aid in identifying individuals who should be screened proactively for nutrition risk and inform programs, policies, and interventions designed to reduce the prevalence of nutrition risk. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/56714.

Loneliness and associated factors among middle-aged and older adults: cross-sectional and longitudinal survey results from the HAALSI cohort in South Africa.

OBJECTIVES: Longitudinal studies on chronic loneliness and before and during the COVID-19 pandemic are lacking in Africa. The study aimed to estimate the prevalence and associated factors of loneliness and chronic loneliness using cross-sectional and longitudinal data from middle-aged and older adults from rural South Africa. METHOD: The analysis utilized data from the South African 7-year longitudinal Health and Ageing in Africa: A Longitudinal Study of an INDEPTH Community in South Africa (HAALSI) (analytic sample: n = 3,418, aged 40 years and older). Loneliness was assessed with a single and 3-item measure. RESULTS: The proportion of loneliness was 19.5% in the 2021/2022 survey, the incidence of chronic loneliness (having loneliness in wave 2 and 3, and free of loneliness in wave 1) was 18.9%, and the 7-year incidence of loneliness was 41.0%. Comparing the 2019 (pre-COVID-19) to 2021/2022 (during COVID-19 pandemic) surveys participants experienced a significant reduction of loneliness. In cross-sectional and/or longitudinal analyses, we found that younger age, living alone, food insecurity, lack of social engagement, depressed mood, poor life satisfaction, poor sleep quality, impaired cognition, poor self-rated health, functional disability, underweight, obesity, and not living with HIV were associated with a higher prevalence, incidence and/or increases in loneliness. CONCLUSION: One in five aging adults had acute or chronic loneliness. Several social, mental, and physical health factors were identified as associated with loneliness.

Neighborhood social composition and refugee mental health - quasi-experimental evidence of associations from a Danish population register study.

BACKGROUND: Refugees are at an elevated risk of some mental disorders with studies highlighting the contributing role of post-migration factors. Studies of migrant groups show neighborhood social composition, such as ethnic density, to be important. This is the first longitudinal study to examine this question for refugees and uses a novel quasi-experimental design. METHODS: We followed a cohort of 44 033 refugees from being first assigned housing under the Danish dispersal policy, operating from 1986 to 1998, until 2019. This comprised, in effect, a natural experiment whereby the influence of assigned neighborhood could be determined independently of endogenous factors. We examined three aspects of neighborhood social composition: proportion of co-nationals, refugees, and first-generation migrants; and subsequent incidence of different mental disorders. RESULTS: Refugees assigned to neighborhoods with fewer co-nationals (lowest v. highest quartile) were more likely to receive a subsequent diagnosis of non-affective psychosis, incident rate ratio (IRR) 1.25 (95% confidence interval (CI) 1.06-1.48), and post-traumatic stress disorder (PTSD), IRR 1.21 (95% CI I.05-1.39). A comparable but smaller effect was observed for mood disorders but none observed for stress disorders overall. Neighborhood proportion of refugees was less clearly associated with subsequent mental disorders other than non-affective psychosis, IRR 1.24 (95% CI 1.03-1.50). We found no statistically significant associations with proportion of migrants. CONCLUSIONS: For refugees, living in a neighborhood with a lower proportion of co-nationals is related to subsequent increased risk of diagnosed mental disorders particularly non-affective psychosis and PTSD.

Evaluating the effects of ECON-ESG on load capacity factor in G7 countries.

For the first time, this study introduces the ECON-ESG quadruple, developed by Isik et al. (2024a), by adding the economy (ECON) dimension to the classical ESG (environment, social, governance) triad. Based on this new concept, it explores the impact of ECON-ESG factors on the Load Capacity Factor (LCF) in G7. The impact of ECON-ESG factors on LCF is vital because sustainability through these factors plays a critical role in a sustainable environment with LCF. CS-ARDL model finds that while governance factors (GOVNF) positively affect LCF, economic factors (ECONF) have negative effects. Environmental factors (ENVF) and social factors (SOCF) do not affect LCF. These findings can be interpreted as follows: (i) Negative effects of ECONF on LCF can be interpreted as high productivity levels in G7 leading to high resource consumption, exceeding biocapacity. (ii) In G7 with high-income levels, increased consumption may lead to overconsumption of natural resources and exceeding biocapacity. (iii) High technological progress in G7 can sometimes paradoxically lead to greater resource consumption rather than encouraging more efficient resource use, increasing an ecological footprint. The positive effects of GOVNF on LCF can be interpreted as follows: (iv) High and quality governance practices and policies in G7 can increase biocapacity. (vi) Under good governance, governments and environmental organizations can positively impact LCF by raising public awareness of environmental issues and enabling society to use natural resources more sustainably. Therefore, policymakers should harmonize economic policies through ECONF and governance policies through social factors (GOVNF), which contradict each other in LCF. Additionally, the effect of the single composite form ECON-ESG introduced and proposed in this study on LCF is found to be negative. This requires policymakers and firms to re-evaluate their sustainability one more time from a holistic perspective, including economic factors, as done in this study.

Factors affecting major depression in Iran: a mixed-method study.

Depression is a major cause of disability and, if left untreated, can increase the risk of suicide. Evidence on the determinants of depression is incomplete, making it challenging to interpret results across studies. This study aims to identify the social, economic, environmental, political, and technological factors influencing the great recession in Iran. The study was conducted in two parts. The first step involved a literature review to identify the factors, using PubMed, Scopus, and Web of Science for the search. The reference lists of all identified articles were reviewed to find relevant studies, and the extracted information was summarized and reported descriptively. The second steps involved compiling and consulting 14 experts from different fields, using a framework analysis method. Twenty-four articles were used as primary sources of information, and a total of 28 factors were found to exist. After removing duplicates and related factors, 19 of these were subsequently declared as factors, resulting in a total of 36 determinants being identified. Most of these factors belong to the social category. The health policies implemented have a significant impact on disease risk factors and ultimately their occurrence. Political decisions and policy-making processes play a crucial role in all areas, particularly in addressing disease risk factors. Severe depression can disrupt all aspects of the healthcare system, underscoring the importance of access to care. Policies concerning physical education, transportation, nutrition, employment, green spaces, recreational facilities, and tobacco are vital in this context. The influence of health policies on disease risk factors and disease occurrence is profound. Severe depression can have far-reaching effects on the healthcare system, emphasizing the critical need for access to care. The formulation of policies to combat depression must be thoroughly evaluated in terms of economic, political, social, technological, and environmental factors. The findings suggest that addressing social inequalities and emphasizing the role of political action, as highlighted by the social determinants of health, should be top priorities in addressing depression. Efforts to prevent depression should incorporate ecological approaches that consider the impact of the socioeconomic environment on depressive symptoms.

Impact of social factors responsible for Juvenile delinquency - A literature review.

BACKGROUND: Juvenile delinquency appears to be the most widespread social issue in comparison to other social issues. Social factors and conditions have a significant impact on the prevalence of delinquency. Individuals who engage in criminal behavior before reaching the age of 18 are commonly referred to as juvenile offenders. The aim of this study is to comprehensively elucidate the research and work carried out on juvenile offenders, with a specific focus on the critical role played by social factors in all facets of juvenile delinquency. Additionally, this research seeks to investigate the social roots and influences that contribute to the criminal behavior of young offenders. MATERIALS AND METHODS: This article uses a literature review methodology to analyze research on social factors influencing juvenile delinquency. It synthesizes and evaluates prior findings to understand the complex interplay between social factors and young individuals' involvement in delinquent behaviors. The study analyzed 80 articles from reputable online databases, focusing on juvenile delinquency, offenders, crime, and social factors. Out of the 80 articles, 53 were cited, meeting inclusion criteria, including publication within 2000-2023, rigorous peer-review, and reputable database indexing. RESULTS: As per the findings of the research, it has been observed that children who grow up in households that exhibit affection, hospitality, and encouragement are comparatively less susceptible to the manifestation of societal maladies. Children who have experienced parental abandonment are at heightened risk of developing delinquent behaviors. CONCLUSION: The presence of negative family dynamics and associations with delinquent peers are widely recognized as significant contributors to the development of drug abuse behavior. It is imperative for policymakers and preventive initiatives to have a comprehensive understanding of this complex relationship. Therefore, this literature review presented a distinct overview of the influence of social factors on juvenile offenders in India.

Consanguineous marriages, premarital screening, and genetic testing: a survey among Saudi university students.

Background: Marriage among cousins or close relatives, i.e., consanguinity, is prevalent in many parts of the world, especially the Muslim world. Across civilizations, cultural norms, religious beliefs, and economic factors affect consanguineous marriages (CMs); however, such marriages have social, genetic, and health repercussions. The present study investigated the university students' attitudes regarding CMs and factors influencing their attitudes at King Abdulaziz University (KAU), Jeddah, Kingdom of Saudi Arabia (KSA). Methods: This cross-sectional prospective study was conducted at KAU Jeddah in 2023. The questionnaire was distributed via electronic media (Emails, Facebook Messenger & WhatsApp). The convenience sampling technique was used to select participants, and descriptive and inferential statistics were used to analyze the data on SPSS-26. Results: A total of 1707 university students were part of the study (females, 1,198, 70.2%; males, 509, 29.8%). Almost half of the participants, 819 (48.0%), had parents with CMs. Most of the participants, 1,391 (81.5%), had CMs in the family. Half of the participants disagreed that parents consider marriage stable due to high compatibility and the same social relationship before and after marriage. About one-third of respondents said parents believe family marriage transmits cultural values and continuity and keeps wealth in the family. More than three-fourths of the participants stated that if marriage is arranged with first cousins, they will opt for genetic analysis (82.5%) and premarital counseling (85.2%). The personal attitudes of females (p < 0.001), undergraduate (p = 0.02), and health sciences students (p = 0.02) were more positive than their counterparts. Males (OR = 0.41; p < 0.001) and non-health sciences students (OR = 0.68; p = 0.01) were less likely to have significant positive attitudes than their counterparts. Among participants who had CM parents, males (OR = 0.397; p < 0.001) and non-health sciences students (OR = 0.60; p = 0.01) and urban residents (OR = 0.59; p = 0.01) had significantly lower odds of having a positive attitude than their counterparts. Conclusion: The practice of CMs is still prevalent in Saudi culture, with almost half of the participants having CM parents and the majority reporting these marriages in their families. Personal attitudes toward CMs were extremely positive. Most students prefer genetic testing and premarital counseling if marrying first cousins. Gender, faculty, parental income, and educational background influenced participants' attitudes.

Analyzing Depressive Symptoms Among Elderly Cancer Patients: A Comprehensive Examination of Demographic and Medical Correlates.

OBJECTIVE: This study aimed to explore the relationship between depressive symptoms and demographic as well as health-related variables in elderly individuals diagnosed with cancer. METHODS: A cohort of 50 elderly cancer patients participated in the study. Data collection involved the completion of surveys and assessments encompassing demographic characteristics, medical profiles, levels of depression, cognitive functioning, activities of daily living, and perceived social support. RESULTS: Findings revealed that among the elderly participants, 45% experienced mild depression, 20% exhibited moderate depression, and 5% showed severe depression. Depression levels were found to be linked to marital status (P = 0.03), with widowed individuals reporting the highest depression rates (80%) and single individuals reporting the lowest (4%). Living arrangements were significantly associated with depression (P = 0.012), with participants cohabiting with their partner and children showing lower depression rates (6%) compared to those living solely with their children (40%). Additionally, depression showed a significant correlation with income (P = 0.01), as individuals reporting insufficient income for living expenses displayed higher levels of depression (58%). Furthermore, depression was notably linked to chronic health conditions like diabetes and respiratory ailments (P = .023), with individuals grappling with respiratory issues reporting the highest depression scores. CONCLUSION: Recognizing and addressing factors such as marital status, living situation, income level, and the presence of chronic illnesses hold the potential for healthcare professionals to tailor interventions effectively to meet the specific requirements of this vulnerable demographic. This tailored approach has the capability to contribute significantly to enhancing the overall well-being and mental health outcomes of elderly cancer patients.

Social functioning predicts individual changes in EEG microstates following intranasal oxytocin administration: A double-blind, cross-over randomized clinical trial.

Oxytocin (OXT) modulates social behaviors. However, the administration of exogenous OXT in humans produces inconsistent behavioral changes, affecting future consideration of OXT as a treatment for autism and other disorders with social symptoms. Inter-individual variability in social functioning traits might play a key role in how OXT changes brain activity and, therefore, behavior. Here, we investigated if inter-individual variability might dictate how single-dose intranasal OXT administration (IN-OXT) changes spontaneous neural activity during the eyes-open resting state. We used a double-blinded, randomized, placebo-controlled, cross-over design on 30 typically developing young adult men to investigate the dynamics of EEG microstates corresponding to activity in defined neural networks. We confirmed previous reports that, at the group level, IN-OXT increases the representation of the attention and salience microstates. Furthermore, we identified a decreased representation of microstates associated with the default mode network. Using multivariate partial least square statistical analysis, we found that social functioning traits associated with IN-OXT-induced changes in microstate dynamics in specific spectral bands. Correlation analysis further revealed that the higher the social functioning, the more IN-OXT increased the appearance of the visual network-associated microstate, and suppressed the appearance of a default mode network-related microstate. The lower the social functioning, the more IN-OXT increases the appearance of the salience microstate. The effects we report on the salience microstate support the hypothesis that OXT regulates behavior by enhancing social salience. Moreover, our findings indicate that social functioning traits modulate responses to IN-OXT and could partially explain the inconsistent reports on IN-OXT effects.

Cognitive, emotional, and social factors promoting psychosocial adaptation: a study of latent profiles in people living in socially vulnerable contexts.

Introduction: Social adaptation is a multifaceted process that encompasses cognitive, social, and affective factors. Previous research often focused on isolated variables, overlooking their interactions, especially in challenging environments. Our study addresses this by investigating how cognitive (working memory, verbal intelligence, self-regulation), social (affective empathy, family networks, loneliness), and psychological (locus of control, self-esteem, perceived stress) factors interact to influence social adaptation. Methods: We analyzed data from 254 adults (55% female) aged 18 to 46 in economically vulnerable households in Santiago, Chile. We used Latent profile analysis (LPA) and machine learning to uncover distinct patters of socioadaptive features and identify the most discriminating features. Results: LPA showed two distinct psychosocial adaptation profiles: one characterized by effective psychosocial adaptation and another by poor psychosocial adaptation. The adaptive profile featured individuals with strong emotional, cognitive, and behavioral self-regulation, an internal locus of control, high self-esteem, lower stress levels, reduced affective empathy, robust family support, and decreased loneliness. Conversely, the poorly adapted profile exhibited the opposite traits. Machine learning pinpointed six key differentiating factors in various adaptation pathways within the same vulnerable context: high self-esteem, cognitive and behavioral self-regulation, low stress levels, higher education, and increased social support. Discussion: This research carries significant policy implications, highlighting the need to reinforce protective factors and psychological resources, such as self-esteem, self-regulation, and education, to foster effective adaptation in adversity. Additionally, we identified critical risk factors impacting social adaptation in vulnerable populations, advancing our understanding of this intricate phenomenon.

Development of the social dimensions of health behaviour framework.

ABSTRACTDespite rapid theoretical expansion in conceptualising individual and environmental processes, the examination of social processes associated with health behaviours has a less cohesive theoretical landscape. The purpose of this mapping review and content analysis was to develop a taxonomy of social dimensions applicable to health behaviours. Michie et al. (2014) 'ABC of Theories of Behaviour Change' text, which includes 83 behaviour change theories, was used as the data-set, whereby an iterative concurrent content analysis was undertaken with respect to all relational/interpersonal psychological dimensions. The analysis resulted in a social dimensions of health behaviour (SDHB) framework of 10 dimensions, including seven sub-types of social appraisal dimensions and three-sub-types of social identification dimensions. The SDHB revealed that specific dimensions, such as descriptive norm, are prevalent in behavioural theories, while other dimensions have seen less attention. Further, while most social constructs in behavioural theories are represented by only one social dimension in the SDHB, other constructs have complex representation. This version 1.0 of the SDHB framework should assist in specifying the core social dimensions in health behaviour, provide a common lexicon to discuss relational constructs in psychological theories, amalgamate the disparate social constructs literature and identify opportunities for further research to advance theory development and interventions.

Irritable Bowel Syndrome in medical students at a Peruvian university: a cross-sectional study.

Background: Irritable Bowel Syndrome has emerged as a significant public health challenge, particularly relevant in medical students due to the high demands of their studies, academic stress, and susceptibility to eating disorders. Nevertheless, conclusive evidence regarding the factors associated with Irritable Bowel Syndrome in the Latin American student population remains limited. The objective of this study was to determine the prevalence and factors associated with Irritable Bowel Syndrome in Human Medicine students at a university in northern Peru. Methods: A cross-sectional analytical study conducted in Lambayeque, northern Peru. With 403 Human Medicine students (66.5% female, 33.5% male). A simple random probabilistic sampling type was used, based on a list of students enrolled. A multivariate analysis was conducted to determine the factors associated using simple and multiple regression models. Generalized Linear Models were applied, using the Poisson distribution family, robust variance, and the academic year as a cluster. Results: The prevalence of Irritable Bowel Syndrome was 16.9% (95% CI: 13.37-20.86). The median age was 21 years, with 66.5% being female. In the multiple regression analysis, Irritable Bowel Syndrome was associated with a higher prevalence of depression (PR: 3.63; 95% CI: 1.26-10.49) and eating disorders (PR: 1.57; 95% CI: 1.01-2.43). For each additional year of age, the prevalence of Irritable Bowel Syndrome decreased by 9% (PR: 0.91; 95% CI: 0.83-0.99). Conclusion: This study reveals that approximately two out of every 10 students exhibit symptoms related to IBS, underscoring its significance in the Human Medicine student population. Furthermore, depression and eating disorders were identified as significant factors associated with IBS in students. Consequently, it is essential to focus efforts on early identification and the implementation of preventive measures to mitigate the development of this pathology, given its substantial prevalence in this context of Human Medicine students.

The longitudinal relations between mental state talk and theory of mind.

BACKGROUND: Previous investigations of associations between children's Theory of Mind (ToM) and parents' use of words relating to mental states (or mental state talk; MST) have predominantly been performed using cross-sectional designs and false belief tasks as indicators of ToM. METHODS: We here report a longitudinal study of 3-5 year-olds (n = 80) investigating ToM development using the ToM scale and three different parental MST types: the absolute frequency of words, the proportions of words, and the vocabulary size. RESULTS: Our results revealed significant relations between all parental MST types and later child ToM. Proportions of parental MST were most often related to the children's ToM at 4 years of age. However, the rate at which the children developed ToM from 3 to 5 years of age was associated with the other two parental MST type measures, namely, absolute frequency and vocabulary size. Additionally, our analyses revealed that parents' use of cognitive MST words (e.g., think, or know) were most frequently associated with children's ToM at 4 years of age compared to emotion and desire-related MST words. CONCLUSIONS: We conclude that the parental ability to capture the thoughts, beliefs, and knowledge present in different scenarios is associated with children's ability to understand other minds. Moreover, parents' way of talking about the mental states of others is associated with their children's ability to understand and further develop ToM.