Examining the relationships between social identities of British Asian transgender /gender non-conforming and well-being.

2021 ◽  
Author(s):  
Yuan JI ◽  
Ayoub Bouguettaya

AbstractObjective: The present study aimed to explore the roles of social identity (British Asian / TGNC)against mental health problems (depression) and well-being.Methods: This study is a mixed methods pilot study. British Asian TGNC adults were our targeted subjects. An online anonymous survey was opened for four weeks and shared by some LGBTQ+ communities in the U.K. We recruited three participants, which did not meet planned sample size requirements.Results: Due to the lack of participants, we cannot reject our support any of our hypothesis. Based on the qualitative analysis, we inferred some possible findings: (1) double stigmatized individuals reported great experiences of discrimination related to their stigmatized social identity; (2) people who hold double stigmatized identity may show asymmetric identification; (3) affirmation of multiple identities could provide resilience and then foster mental health and well-beings.Conclusion: Our study demonstrated the difficulties in recruitment double minority group of people. The reasons of the failure in recruitment could be (1) double stigmatized identity may lead to concealment (2) COVID-19 causes problems in direct contact. Implications on recruitment issues within double stigmatized identities are extensively discussed, with discussions against how these areas relate to effective contact and engagement with specialist service for British Asian TGNC individuals and communities. Having a theoretical and practical understanding of these issues may address future recruitment difficulties

BMJ Open ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. e033317
Author(s):  
Rachel M Hiller ◽  
Sarah L Halligan ◽  
Richard Meiser-Stedman ◽  
Elizabeth Elliott ◽  
Emily Rutter-Eley

ObjectivesYoung people who have been removed from their family home and placed in care have often experienced maltreatment and there is well-developed evidence of poor psychological outcomes. Once in care, foster carers often become the adult who provides day-to-day support, yet we know little about how they provide this support or the challenges to and facilitators of promoting better quality carer–child relationships. The aim of this study was to understand how carers support the emotional needs of the young people in their care and their views on barriers and opportunities for support.Design and participantsParticipants were 21 UK foster carers, recruited from a local authority in England. They were predominantly female (86%), aged 42–65 years old and ranged from those who were relatively new to the profession (<12 months’ experience) to those with over 30 years of experience as a carer. We ran three qualitative focus groups to gather in-depth information about their views on supporting their foster children’s emotional well-being. Participants also completed short questionnaires about their training experiences and sense of competence.ResultsOnly half of the sample strongly endorsed feeling competent in managing the emotional needs of their foster children. While all had completed extensive training, especially on attachment, diagnosis-specific training for mental health problems (eg, trauma-related distress, depression) was less common. Thematic analysis showed consistent themes around the significant barriers carers faced navigating social care and mental health systems, and mixed views around the best way to support young people, particularly those with complex mental health needs and in relation to reminders of their early experiences.ConclusionsFindings have important implications for practice and policy around carer training and support, as well as for how services support the mental health needs of young people in care.


2021 ◽  
pp. 002076402110175
Author(s):  
Roberto Rusca ◽  
Ike-Foster Onwuchekwa ◽  
Catherine Kinane ◽  
Douglas MacInnes

Background: Relationships are vital to recovery however, there is uncertainty whether users have different types of social networks in different mental health settings and how these networks may impact on users’ wellbeing. Aims: To compare the social networks of people with long-term mental illness in the community with those of people in a general adult in-patient unit. Method: A sample of general adult in-patients with enduring mental health problems, aged between 18 and 65, was compared with a similar sample attending a general adult psychiatric clinic. A cross-sectional survey collected demographic data and information about participants’ social networks. Participants also completed the Short Warwick Edinburgh Mental Well-Being Scale to examine well-being and the Significant Others Scale to explore their social network support. Results: The study recruited 53 participants (25 living in the community and 28 current in-patients) with 339 named as important members of their social networks. Both groups recorded low numbers in their social networks though the community sample had a significantly greater number of social contacts (7.4 vs. 5.4), more monthly contacts with members of their network and significantly higher levels of social media use. The in-patient group reported greater levels of emotional and practical support from their network. Conclusions: People with serious and enduring mental health problems living in the community had a significantly greater number of people in their social network than those who were in-patients while the in-patient group reported greater levels of emotional and practical support from their network. Recommendations for future work have been made.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Sylvia Xiaohua Chen ◽  
Jacky C. K. Ng ◽  
Bryant P. H. Hui ◽  
Algae K. Y. Au ◽  
Wesley C. H. Wu ◽  
...  

AbstractThe spread of coronavirus disease 2019 (COVID-19) has affected both physical health and mental well-being around the world. Stress-related reactions, if prolonged, may result in mental health problems. We examined the consequences of the COVID-19 pandemic on mental health in a multinational study and explored the effects of government responses to the outbreak. We sampled 18,171 community adults from 35 countries/societies, stratified by age, gender, and region of residence. Across the 35 societies, 26.6% of participants reported moderate to extremely severe depression symptoms, 28.2% moderate to extremely severe anxiety symptoms, and 18.3% moderate to extremely severe stress symptoms. Coronavirus anxiety comprises two factors, namely Perceived Vulnerability and Threat Response. After controlling for age, gender, and education level, perceived vulnerability predicted higher levels of negative emotional symptoms and psychological distress, whereas threat response predicted higher levels of self-rated health and subjective well-being. People in societies with more stringent control policies had more threat response and reported better subjective health. Coronavirus anxiety exerts detrimental effects on subjective health and well-being, but also has the adaptive function in mobilizing safety behaviors, providing support for an evolutionary perspective on psychological adaptation.


2021 ◽  
Vol 10 (11) ◽  
pp. 2499
Author(s):  
Víctor-María López-Ramos ◽  
Benito León-del-Barco ◽  
Santiago Mendo-Lázaro ◽  
María-Isabel Polo-del-Río

Last year, the COVID-19 pandemic had severe consequences on the health and well-being of millions of people. Different studies try to identify the main effects that the crisis and several lockdowns have had on the citizens’ mental health. This research analyses the coping strategies generated by students from a community group and a clinical group in response to this crisis, using the Coping Responses Inventory—Adult Form (CRI-A) by Moos with a sample of 1074 students of Universidad de Extremadura. Multivariate analysis and receiver operating characteristic curve analysis have been carried out, revealing, amongst other things, a greater predisposition of the clinical sample towards factors such as seeking guidance and support, cognitive avoidance or emotional discharge. Results show that students with prior mental health problems perform an unhealthy coping response based on avoidance strategies. This group of students suffers a double source of distress and anxiety, one derived from their prior psychopathologic problems and the stress of the lockdown and another one originating from an inefficient coping response, which makes coping strategies raise levels of distress and anxiety.


2021 ◽  
pp. 1-10
Author(s):  
Beate Muschalla ◽  
Clio Vollborn ◽  
Anke Sondhof

<b><i>Introduction:</i></b> Embitterment can occur as a reaction to perceived injustice. During the pandemic and restrictions in daily living due to infection risk management, a range of many smaller or severe injustices have occurred. <b><i>Objective:</i></b> The aim of this study is to investigate what characterizes persons with high embitterment, mental illness, embitterment and mental illness, and those without embitterment or mental health problems. <b><i>Methods:</i></b> We conducted an online survey including persons from the general population in November 2020 and December 2020, the phase during which a second lockdown took place, with closed shops, restaurants, cultural and activity sites. 3,208 participants (mean age 47 years) gave self-ratings on their present well-being, burdens experienced during the pandemic, embitterment, wisdom, and resilience. <b><i>Results:</i></b> Embitterment occurred among 16% of the sample, which is a high rate in comparison with 4% during pre-pandemic times. Embitterment was weakly correlated with unspecific mental well-being. There were more persons with embitterment than those with embitterment and a mental health problem. Persons with embitterment reported less coronavirus-related anxiety than persons without embitterment. However, embittered persons reported more social and economic burdens and more frequent experiences of losses (job loss and canceling of medical treatments). Embittered persons perceive their own wisdom competencies on a similar level as persons with mental health problems or persons without mental health problems. <b><i>Conclusion:</i></b> Embitterment is a specific potentially alone-standing affective state, which is distinguishable from general mental health and coping capacities (here: wisdom). The economic and social consequences of pandemic management should be carefully recognized and prevented by policy.


Author(s):  
Herbert E. Ainamani ◽  
Godfrey Z. Rukundo ◽  
Timothy Nduhukire ◽  
Eunice Ndyareba ◽  
Tobias Hecker

Abstract Background Child maltreatment poses high risks to the mental health and cognitive functioning of children not only in childhood but also in later life. However, it remains unclear whether child maltreatment is directly associated with impaired cognitive functioning or whether this link is mediated by mental health problems. Our study aimed at examining this research question among children and adolescents in Uganda. Methods A sample of 232 school-going children and adolescents with a mean age of 14.03 (SD = 3.25) was assessed on multiple forms of maltreatment using the Maltreatment and Abuse Chronology Exposure—Pediatric Version (pediMACE). Executive functions were assessed by the Tower of London task and working memory by the Corsi Block Tapping task, while mental health problems were assessed using the Child PTSD Symptom Scale for PTSD and the Center for Epidemiological Studies Depression Scale for Children (CES-DC). Results In total, 232 (100%) of the participant reported to have experienced at least one type of maltreatment in their lifetime including emotional, physical, and sexual violence as well as neglect. We found a negative association between child maltreatment and executive functions (β = − 0.487, p < 0.001) and working memory (β = − 0.242, p = 0.001). Mental health problems did not mediate this relationship. Conclusions Child maltreatment seems to be related to lower working memory and executive functioning of affected children and adolescents even after controlling for potential cofounders. Our study indicates that child maltreatment the affects children’s cognitive functionality beyond health and well-being.


2019 ◽  
Vol 53 (1) ◽  
pp. 54-75 ◽  
Author(s):  
Ryan A. Brown ◽  
Daniel L. Dickerson ◽  
David J. Klein ◽  
Denis Agniel ◽  
Carrie L. Johnson ◽  
...  

American Indian and Alaska Native (AI/AN) youth exhibit multiple health disparities, including high rates of alcohol and other drug (AOD) use, violence and delinquency, and mental health problems. Approximately 70% of AI/AN youth reside in urban areas, where negative outcomes on behavioral health and well-being are often high. Identity development may be particularly complex in urban settings, where youth may face more fragmented and lower density AI/AN communities, as well as mixed racial-ethnic ancestry and decreased familiarity with AI/AN lifeways. This study examines racial-ethnic and cultural identity among AI/AN adolescents and associations with behavioral health and well-being by analyzing quantitative data collected from a baseline assessment of 185 AI/AN urban adolescents from California who were part of a substance use intervention study. Adolescents who identified as AI/AN on their survey reported better mental health, less alcohol and marijuana use, lower rates of delinquency, and increased happiness and spiritual health.


2010 ◽  
Vol 34 (5) ◽  
pp. 195-199
Author(s):  
Barry Wright ◽  
Chris Williams ◽  
Marcella Sykes

SummaryThis paper reports on the last 8 years in the development of a child mental health learning disability service. The growth, challenges and pitfalls faced by the service are charted here. The paper also shows how a service can cope with rising demand without the development of waiting lists and how a specialist service can be embedded within a generic child and adolescent mental health service (CAMHS) as a tier 3 team, thus creating synergies and commonalities of purpose, while avoiding service gaps that inevitably arise from separate services with specific referral criteria. This is a healthy service model that meets the needs of local children with moderate to severe intellectual disabilities and concomitant child mental health problems.


2021 ◽  
Author(s):  
Christopher Marshall ◽  
Kate Lanyi ◽  
Rhiannon Green ◽  
Georgie Wilkins ◽  
Fiona Pearson ◽  
...  

BACKGROUND There is increasing need to explore the value of soft-intelligence, leveraged using the latest artificial intelligence (AI) and natural language processing (NLP) techniques, as a source of analysed evidence to support public health research activity and decision-making. OBJECTIVE The aim of this study was to further explore the value of soft-intelligence analysed using AI through a case study, which examined a large collection of UK tweets relating to mental health during the COVID-19 pandemic. METHODS A search strategy comprising a list of terms related to mental health, COVID-19, and lockdown restrictions was developed to prospectively collate relevant tweets via Twitter’s advanced search application programming interface over a 24-week period. We deployed a specialist NLP platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion. A series of keyword filters were used to clean the initial data retrieved and also set up to track specific mental health problems. Qualitative document analysis was carried out to further explore and expand upon the results generated by the NLP platform. All collated tweets were anonymised RESULTS We identified and analysed 286,902 tweets posted from UK user accounts from 23 July 2020 to 6 January 2021. The average sentiment score was 50%, suggesting overall neutral sentiment across all tweets over the study period. Major fluctuations in volume and sentiment appeared to coincide with key changes to any local and/or national social-distancing measures. Tweets around mental health were polarising, discussed with both positive and negative sentiment. Key topics of consistent discussion over the study period included the impact of the pandemic on people’s mental health (both positively and negatively), fear and anxiety over lockdowns, and anger and mistrust toward the government. CONCLUSIONS Through the primary use of an AI-based NLP platform, we were able to rapidly mine and analyse emerging health-related insights from UK tweets into how the pandemic may be impacting people’s mental health and well-being. This type of real-time analysed evidence could act as a useful intelligence source that agencies, local leaders, and health care decision makers can potentially draw from, particularly during a health crisis.


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