Ontology highlight
ABSTRACT: Objectives
There is currently no widely accepted estimate of the proportion of people in England that self-identifies as lesbian, gay or bisexual (LGB), which is needed if we are to compare health inequality between different population groups. Using systematic review methods, this study identified all national social surveys with a question on sexual orientation and pooled those which represented the overall population of England. LGB proportions were synthesized into an aggregated mean estimate using weights based on sample size, response rate and missing data. The modelled estimate was stratified by socio-demographic and geographical variables.Results
Twenty-two national surveys were identified of which 15 were suitable for pooling. Synthesis resulted in a weighted mean estimate of 2.50% of the adult population of England identifying as LGB or 'other'. The proportion was highest in men, people below 45 years of age and the London region. The (theoretical) upper limit was 5.89% if all non-responders were assumed to identify as LGB. The reported 2.50% presents a minimum and may be influenced by respondents' perceptions of confidentiality and social acceptance. It is however the most robust estimate currently available and can be used as baseline to understand health and wellbeing needs of different groups.
SUBMITTER: van Kampen SC
PROVIDER: S-EPMC5683336 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
van Kampen Sanne Christine SC Lee William W Fornasiero Mauro M Husk Kerryn K
BMC research notes 20171113 1
<h4>Objectives</h4>There is currently no widely accepted estimate of the proportion of people in England that self-identifies as lesbian, gay or bisexual (LGB), which is needed if we are to compare health inequality between different population groups. Using systematic review methods, this study identified all national social surveys with a question on sexual orientation and pooled those which represented the overall population of England. LGB proportions were synthesized into an aggregated mean ...[more]