Author
Sally McManus
Other affiliations: City University London, University of Leicester, University College London ...read more
Bio: Sally McManus is an academic researcher from RMIT University. The author has contributed to research in topics: Population & Mental health. The author has an hindex of 50, co-authored 134 publications receiving 11384 citations. Previous affiliations of Sally McManus include City University London & University of Leicester.
Papers published on a yearly basis
Papers
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TL;DR: Mental health in the UK had deteriorated compared with pre-COVID-19 trends by late April, 2020, and policies emphasising the needs of women, young people and those with preschool aged children are likely to play an important part in preventing future mental illness.
1,636 citations
University Hospitals Bristol NHS Foundation Trust1, National Institute for Health Research2, University College Cork3, Warneford Hospital4, Swansea University5, Aga Khan University6, University of Glasgow7, Centre for Mental Health8, University of Bristol9, University of Peradeniya10, University of Oslo11, Medical University of Vienna12, University of Sydney13, Rafsanjan University of Medical Sciences14, University of Toronto15, University of Nottingham16, University of Hong Kong17
TL;DR: The promise of targeting the inflammation pathway in the management of this challenging condition is today somewhat weaker, but this might not be the last word on the potential role of anti-inflammatory drugs in the treatment of bipolar depression.
981 citations
TL;DR: The increased reporting of risky sexual behaviours is consistent with changing cohabitation patterns and rising incidence of sexually transmitted infections.
862 citations
Book•
01 Jan 2009
812 citations
TL;DR: The prevalence of ASD in this population is similar to that found in children, and the lack of an association with age is consistent with there having been no increase in prevalence and with its causes being temporally constant.
Abstract: Context To our knowledge, there is no published information on the epidemiology of autism spectrum disorders (ASDs) in adults. If the prevalence of autism is increasing, rates in older adults would be expected to be lower than rates among younger adults. Objective To estimate the prevalence and characteristics of adults with ASD living in the community in England. Design A stratified, multiphase random sample was used in the third national survey of psychiatric morbidity in adults in England in 2007. Survey data were weighted to take account of study design and nonresponse so that the results were representative of the household population. Setting General community (ie, private households) in England. Participants Adults (people 16 years or older). Main Outcome Measures Autism Diagnostic Observation Schedule, Module 4 in phase 2 validated against the Autism Diagnostic Interview–Revised and Diagnostic Interview for Social and Communication Disorders in phase 3. A 20-item subset of the Autism-Spectrum Quotient self-completion questionnaire was used in phase 1 to select respondents for phase 2. Respondents also provided information on sociodemographics and their use of mental health services. Results Of 7461 adult participants who provided a complete phase 1 interview, 618 completed phase 2 diagnostic assessments. The weighted prevalence of ASD in adults was estimated to be 9.8 per 1000 (95% confidence interval, 3.0-16.5). Prevalence was not related to the respondent's age. Rates were higher in men, those without educational qualifications, and those living in rented social (government-financed) housing. There was no evidence of increased use of services for mental health problems. Conclusions Conducting epidemiologic research on ASD in adults is feasible. The prevalence of ASD in this population is similar to that found in children. The lack of an association with age is consistent with there having been no increase in prevalence and with its causes being temporally constant. Adults with ASD living in the community are socially disadvantaged and tend to be unrecognized.
769 citations
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Uppsala University1, Karolinska Institutet2, University of Glasgow3, University College London4, University of Oxford5, King's College London6, University of Exeter7, Black Dog Institute8, University of California, Irvine9, University of Cambridge10, Swansea University11, Guy's and St Thomas' NHS Foundation Trust12, UCL Institute of Child Health13, St George's, University of London14, Emory University15, University of Bristol16, Academy of Medical Sciences, United Kingdom17
TL;DR: There is an urgent need for research to address how mental health consequences for vulnerable groups can be mitigated under pandemic conditions, and on the impact of repeated media consumption and health messaging around COVID-19.
3,909 citations
Dresden University of Technology1, Centre for Addiction and Mental Health2, Karlstad University3, Stockholm School of Economics4, University of Copenhagen5, Karolinska Institutet6, University of Florence7, University of Basel8, University of Zurich9, Maastricht University10, University of Lausanne11, European Monitoring Centre for Drugs and Drug Addiction12, Aarhus University Hospital13
TL;DR: The true size and burden of disorders of the brain in the EU was significantly underestimated in the past, and Concerted priority action is needed at all levels, including substantially increased funding for basic, clinical and public health research and policy decisions.
3,079 citations
TL;DR: Mental health affects progress towards the achievement of several Millennium Development Goals, such as promotion of gender equality and empowerment of women, reduction of child mortality, improvement of maternal health, and reversal of the spread of HIV/AIDS.
2,943 citations
2,707 citations
TL;DR: This study provides the first large-scale quantitative approach to contact patterns relevant for infections transmitted by the respiratory or close-contact route, and the results should lead to improved parameterisation of mathematical models used to design control strategies.
Abstract: Background Mathematical modelling of infectious diseases transmitted by the respiratory or close-contact route (e.g., pandemic influenza) is increasingly being used to determine the impact of possible interventions. Although mixing patterns are known to be crucial determinants for model outcome, researchers often rely on a priori contact assumptions with little or no empirical basis. We conducted a population-based prospective survey of mixing patterns in eight European countries using a common paper-diary methodology.
2,677 citations