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Trust has been seen as a lynchpin of therapeutic relationships. Yet due to perceptions that anorexia is one of the most difficult illnesses to treat and that patients are "treatment resistant", achieving trust between patient and treatment provider may be challenging. This article draws on qualitative data from 14 semi-structured interviews with women who have experience of inpatient treatment for anorexia in order to analyse how trust and distrust figured in treatment contexts. In so doing, the article draws upon feminist approaches which are critical of conceptions of the "devious" "anorexic" and of the clinical discourses within which these constructions are produced. Our analysis suggests a lack of trust shown toward patients in inpatient contexts – particularly a disqualification of "voice" – which has a number of consequences for participants' subjectivities, including the erosion of self-esteem; demotivation; dropping out/termination of treatment; and triggering experiences of trauma. As such, our analysis raises serious questions about what participants described as routine treatment practices in inpatient treatment for anorexia, and about the serious consequences of constructing "anorexics" as manipulative and untrustworthy.

Background Previous studies have indicated increased risk of mental disorder symptoms, suicide and substance misuse in lesbian, gay and bisexual (LGB) adults, compared to heterosexual adults. Our aims were to determine an estimate of the association between sexual orientation identity and poor mental health and wellbeing among adults from 12 population surveys in the UK, and to consider whether effects differed for specific subgroups of the population. Methods Individual data were pooled from the British Cohort Study 2012, Health Survey for England 2011, 2012 and 2013, Scottish Health Survey 2008 to 2013, Longitudinal Study of Young People in England 2009/10 and Understanding Society 2011/12. Individual participant meta-analysis was used to pool estimates from each study, allowing for between-study variation. Results Of 94,818 participants, 1.1 % identified as lesbian/gay, 0.9 % as bisexual, 0.8 % as 'other' and 97.2 % as heterosexual. Adjusting for a range of covariates, adults who identified as lesbian/gay had higher prevalence of common mental disorder when compared to heterosexuals, but the association was different in different age groups: apparent for those under 35 (OR = 1.78, 95 % CI 1.40, 2.26), weaker at age 35–54.9 (OR = 1.42, 95 % CI 1.10, 1.84), but strongest at age 55+ (OR = 2.06, 95 % CI 1.29, 3.31). These effects were stronger for bisexual adults, similar for those identifying as 'other', and similar for 'low wellbeing'. Conclusions In the UK, LGB adults have higher prevalence of poor mental health and low wellbeing when compared to heterosexuals, particularly younger and older LGB adults. Sexual orientation identity should be measured routinely in all health studies and in administrative data in the UK in order to influence national and local policy development and service delivery. These results reiterate the need for local government, NHS providers and public health policy makers to consider how to address inequalities in mental health among these minority groups.

Abstract Background Previous studies have indicated increased risk of mental disorder symptoms, suicide and substance misuse in lesbian, gay and bisexual (LGB) adults, compared to heterosexual adults. Our aims were to determine an estimate of the association between sexual orientation identity and poor mental health and wellbeing among adults from 12 population surveys in the UK, and to consider whether effects differed for specific subgroups of the population. Methods Individual data were pooled from the British Cohort Study 2012, Health Survey for England 2011, 2012 and 2013, Scottish Health Survey 2008 to 2013, Longitudinal Study of Young People in England 2009/10 and Understanding Society 2011/12. Individual participant meta-analysis was used to pool estimates from each study, allowing for between-study variation. Results Of 94,818 participants, 1.1 % identified as lesbian/gay, 0.9 % as bisexual, 0.8 % as 'other' and 97.2 % as heterosexual. Adjusting for a range of covariates, adults who identified as lesbian/gay had higher prevalence of common mental disorder when compared to heterosexuals, but the association was different in different age groups: apparent for those under 35 (OR = 1.78, 95 % CI 1.40, 2.26), weaker at age 35–54.9 (OR = 1.42, 95 % CI 1.10, 1.84), but strongest at age 55+ (OR = 2.06, 95 % CI 1.29, 3.31). These effects were stronger for bisexual adults, similar for those identifying as 'other', and similar for 'low wellbeing'. Conclusions In the UK, LGB adults have higher prevalence of poor mental health and low wellbeing when compared to heterosexuals, particularly younger and older LGB adults. Sexual orientation identity should be measured routinely in all health studies and in administrative data in the UK in order to influence national and local policy development and service delivery. These results reiterate the need for local government, NHS providers and public health policy makers to consider how to address inequalities in mental health among these minority groups.

Lesbian, gay, bisexual and trans+a (LGBT+) people report poorer health than the general population and worse experiences of healthcare particularly cancer, palliative/end-of-life, dementia and mental health provision. This is attributable to: a) social inequalities, including 'minority stress'; b) associated health-risk behaviours (e.g. smoking, excessive drug/alcohol use, obesity); c) loneliness and isolation, affecting physical/mental health and mortality; d) anticipated/experienced discrimination and e) inadequate understandings of needs among healthcare providers. Older LGBT+ people are particularly affected, due to the effects of both cumulative disadvantage and ageing. There is a need for greater and more robust research data to support growing international and national government initiatives aimed at addressing these health inequalities. We identify seven key research strategies: 1) Production of large datasets; 2) Comparative data collection; 3) Addressing diversity and intersectionality among LGBT+ older people; 4) Investigation of healthcare services' capacity to deliver LGBT+ affirmative healthcare and associated education and training needs; 5) Identification of effective health promotion and/or treatment interventions for older LGBT+ people, and sub-groups within this umbrella category; 6) Development an (older) LGBT+ health equity model; 7) Utilisation of social justice concepts to ensure meaningful, change-orientated data production which will inform and support government policy, health promotion and healthcare interventions.

Lesbian, gay, bisexual and trans+ a (LGBT+) people report poorer health than the general population and worse experiences of healthcare particularly cancer, palliative/end-of-life, dementia and mental health provision. This is attributable to: a) social inequalities, including 'minority stress'; b) associated health-risk behaviours (e.g. smoking, excessive drug/alcohol use, obesity); c) loneliness and isolation, affecting physical/mental health and mortality; d) anticipated/experienced discrimination and e) inadequate understandings of needs among healthcare providers. Older LGBT+ people are particularly affected, due to the effects of both cumulative disadvantage and ageing. There is a need for greater and more robust research data to support growing international and national government initiatives aimed at addressing these health inequalities. We identify seven key research strategies: 1) Production of large datasets; 2) Comparative data collection; 3) Addressing diversity and intersectionality among LGBT+ older people; 4) Investigation of healthcare services' capacity to deliver LGBT+ affirmative healthcare and associated education and training needs; 5) Identification of effective health promotion and/or treatment interventions for older LGBT+ people, and subgroups within this umbrella category; 6) Development an (older) LGBT+ health equity model; 7) Utilisation of social justice concepts to ensure meaningful, change-orientated data production which will inform and support government policy, health promotion and healthcare interventions.