The influence of maternal mental illness on vaccination uptake in children: a UK population-based cohort study.
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ABSTRACT:
SUBMITTER: Osam CS
PROVIDER: S-EPMC7524844 | biostudies-literature | 2020 Sep
REPOSITORIES: biostudies-literature
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The influence of maternal mental illness on vaccination uptake in children: a UK population-based cohort study.
Osam Cemre Su CS Pierce Matthias M Hope Holly H Ashcroft Darren M DM Abel Kathryn M KM
European journal of epidemiology 20200424 9
Reduced vaccination uptake is a growing and global public health concern. There is limited knowledge about the effect of maternal mental illness (MMI) on rates of childhood vaccination. This retrospective cohort study examined 479,949 mother-baby pairs born between 1993 and 2015 in the Clinical Practice Research Datalink (CPRD GOLD), a UK-based, primary health-care database. The influence of MMI on children's vaccination status at two and five years of age was investigated using logistic regress ...[more]
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Project description:BackgroundThe general health of children of parents with mental illness is overlooked.AimsTo quantify the difference in healthcare use of children exposed and unexposed to maternal mental illness (MMI).MethodThis was a retrospective cohort study of children aged 0-17 years, from 1 April 2007 to 31 July 2017, using a primary care register (Clinical Practice Research Datalink) linked to Hospital Episodes Statistics. MMI included non-affective/affective psychosis and mood, anxiety, addiction, eating and personality disorders. Healthcare use included prescriptions, primary care and secondary care contacts; inflation adjusted costs were applied. The rate and cost was calculated and compared for children exposed and unexposed to MMI using negative binomial regression models. The total annual cost to NHS England of children with MMI was estimated.ResultsThe study included 489 255 children: 238 106 (48.7%) girls, 112 741 children (23.0%) exposed to MMI. Compared to unexposed children, exposed children had a higher rate of healthcare use (rate ratio 1.27, 95% CI 1.26-1.28), averaging 2.21 extra contacts per exposed child per year (95% CI 2.14-2.29). Increased healthcare use among exposed children occurred in inpatients (rate ratio 1.37, 95% CI 1.32-1.42), emergency care visits (rate ratio 1.34, 95% CI 1.33-1.36), outpatients (rate ratio 1.30, 95% CI 1.28-1.32), prescriptions (rate ratio 1.28, 95% CI 1.26-1.30) and primary care consultations (rate ratio 1.24, 95% CI 1.23-1.25). This costs NHS England an additional £656 million (95% CI £619-£692 million), annually.ConclusionsChildren of mentally ill mothers are a health vulnerable group for whom targeted intervention may create benefit for individuals, families, as well as limited NHS resources.
| S-EPMC8387858 | biostudies-literature
Project description:BackgroundLittle information exists about the prevalence of children exposed to maternal mental illness. We aimed to estimate the prevalence of children and adolescents exposed to maternal mental illness in the UK between 2005 and 2017 using primary care data.MethodsIn this national retrospective cohort study, we included children aged 0-16 years born between Jan 1, 1991, and Dec 31, 2015, who were linked to their mothers and registered on the primary care Clinical Practice Research Datalink (CPRD) between 2005 and 2017. We extracted data on diagnosis, symptoms, and therapy from the CRPD to define the following maternal mental illnesses: depression, anxiety, non-affective psychosis, affective psychosis, eating disorders, personality disorders, alcohol misuse disorder, and substance misuse disorder. We also extracted data on socioeconomic status from the Index of Multiple Deprivation 2010 and data on ethnicity from the Hospital Episode Statistics dataset. The main outcome was prevalence of maternal mental illness. Prevalence was calculated for each 2-year period of childhood (from age 0-<2 to 14-<16 years) using marginal predictions from a logistic regression model. We used survival analysis to estimate the incidence and cumulative risk of children experiencing maternal mental illness by age 16 years.FindingsWe identified 783 710 children registered in the UK CPRD mother-baby link database, and included 547 747 children (381 685 mothers) in our analysis. Overall prevalence of maternal mental illness was 23·2% (95% CI 23·1-23·4), which increased during childhood (21·9%, 21·7-22·1 among the 0-<2 year age group vs 27·3%, 26·8-27·8 among the 14-<16 year age group). Depression and anxiety were the most prevalent maternal mental illnesses. The proportion of children exposed to maternal mental illness increased from 22·2% (21·9-22·4) between 2005 and 2007 to 25·1% (24·8-25·5) between 2015 and 2017. Geographically, the highest prevalence of maternal mental illness was observed in Northern Ireland (29·8%, 29·0-30·5). In England, prevalence of maternal mental illness was highest among children in the most deprived areas (28·3%, 27·8-28·8). The incidence of maternal mental illness was highest between 0-3 months (26·7 per 100 person years, 26·4-27·1). By age 16 years, the cumulative risk of maternal mental illness was 53·1% (52·8-53·3).InterpretationOne in four children aged 0-16 years are exposed to maternal mental illness and the prevalence of diagnosed and treated maternal mental illness is increasing. Policy makers and commissioners should consider this information and channel resources to target individuals in greatest need.FundingThe European Research Council and the National Institute for Health Research.
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Project description:ObjectivesTo describe the incidence of recorded mental illness and challenging behaviour in people with intellectual disability in UK primary care and to explore the prescription of psychotropic drugs in this group.DesignCohort study.Setting571 general practices contributing data to The Health Improvement Network clinical database.Participants33,016 adults (58% male) with intellectual disability who contributed 211,793 person years' data.Main outcome measuresExisting and new records of mental illness, challenging behaviour, and psychotropic drug prescription.Results21% (7065) of the cohort had a record of mental illness at study entry, 25% (8300) had a record of challenging behaviour, and 49% (16,242) had a record of prescription of psychotropic drugs. During follow-up, the rate of new cases of mental illness in people without a history at cohort entry was 262 (95% confidence interval 254 to 271) per 10,000 person years and the rate of challenging behaviour was 239 (231 to 247) per 10,000 person years. The rate of new psychotropic drug prescription in those without a previous history of psychotropic drug treatment was 518 (503 to 533) per 10,000 person years. Rates of new recording of severe mental illness declined by 5% (95% confidence interval 3% to 7%) per year (P<0.001), and new prescriptions of antipsychotics declined by 4% (3% to 5%) per year P<0.001) between 1999 and 2013. New prescriptions of mood stabilisers also decreased significantly. The rate of new antipsychotic prescribing was significantly higher in people with challenging behaviour (incidence rate ratio 2.08, 95% confidence interval 1.90 to 2.27; P<0.001), autism (1.79, 1.56 to 2.04; P<0.001), and dementia (1.42, 1.12 to 1.81; P<0.003) and in those of older age, after control for other sociodemographic factors and comorbidity.ConclusionsThe proportion of people with intellectual disability who have been treated with psychotropic drugs far exceeds the proportion with recorded mental illness. Antipsychotics are often prescribed to people without recorded severe mental illness but who have a record of challenging behaviour. The findings suggest that changes are needed in the prescribing of psychotropics for people with intellectual disability. More evidence is needed of the efficacy and safety of psychotropic drugs in this group, particularly when they are used for challenging behaviour.
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Project description:OBJECTIVE:Information exchange via Twitter and other forms of social media make public health communication more complex as citizens play an increasingly influential role in shaping acceptable or desired health behaviors. Taking the case of the 2009-2010 H1N1 pandemic, we explore in detail the dissemination of H1N1-related advice in the UK through Twitter to see how it was used to discourage or encourage vaccine and antiviral uptake. METHODS:In three stages we conducted (1) an analysis of general content, retweeting patterns, and URL sharing, (2) a discourse analysis of the public evaluation of press releases and (3) a template analysis of conversations around vaccine and antiviral uptake, using Protection Motivation Theory (PMT) as a way of understanding how the public weighed the costs and benefits. RESULTS:Network analysis of retweets showed that information from official sources predominated. Analysing the spread of significant messages through Twitter showed that most content was descriptive but there was some criticism of health authorities. A detailed analysis of responses to press releases revealed some scepticism over the economic beneficiaries of vaccination, that served to undermine public trust. Finally, the conversational analysis showed the influence of peers when weighing up the risks and benefits of medication. CONCLUSION:Most tweets linked to reliable sources, however Twitter was used to discuss both individual and health authority motivations to vaccinate. The PMT framework describes the ways individuals assessed the threat of the H1N1 pandemic, weighing this against the perceived cost of taking medication. These findings offer some valuable insights for social media communication practices in future pandemics.
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Project description:Aim/goal/purposePopulation surveys underrepresent people with severe mental ill health. This paper aims to use multiple regression analyses to explore perceived social support, loneliness and factor associations from self-report survey data collected during the Covid-19 pandemic in a sample of individuals with severe mental ill health.Design/methodology/approachWe sampled an already existing cohort of people with severe mental ill health. Researchers contacted participants by phone or by post to invite them to take part in a survey about how the pandemic restrictions had impacted health, Covid-19 experiences, perceived social support, employment and loneliness. Loneliness was measured by the three item UCLA loneliness scale.FindingsIn the pandemic sub-cohort, 367 adults with a severe mental ill health diagnosis completed a remote survey. 29-34% of participants reported being lonely. Loneliness was associated with being younger in age (adjusted OR = -.98, p = .02), living alone (adjusted OR = 2.04, p = .01), high levels of social and economic deprivation (adjusted OR = 2.49, p = .04), and lower perceived social support (B = -5.86, p < .001). Living alone was associated with lower perceived social support. Being lonely was associated with a self-reported deterioration in mental health during the pandemic (adjusted OR = 3.46, 95%CI 2.03-5.91).Practical implicationsIntervention strategies to tackle loneliness in the severe mental ill health population are needed. Further research is needed to follow-up the severe mental ill health population after pandemic restrictions are lifted to understand perceived social support and loneliness trends.OriginalityLoneliness was a substantial problem for the severe mental ill health population before the Covid-19 pandemic but there is limited evidence to understand perceived social support and loneliness trends during the pandemic.
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Project description:IntroductionPatients with severe mental illness (SMI) have higher rates of cardiovascular disease (CVD) morbidity and mortality than the general population. In the UK, data were limited regarding the known prevalence of physical health screening of SMI patients.AimsA total of 966 patients with SMI from seven geographically varied regions in the UK agreed to participate in a 2-year nurse-led intervention (Well-being Support Programme), designed to improve their overall physical health by providing basic physical health checks, health promotion advice, weight management and physical activity groups in secondary care.ResultsAt baseline, only 31% of participants had undergone a recent physical health check. There were high rates of obesity (BMI > 30 in 49%), glucose abnormalities (12.4%), hypertension/prehypertension (50%), hyperlipidaemia (71%), poor diet (32%), low exercise levels (37.4%) and smoking (50%).ConclusionsPatients with SMI where healthcare professionals have concerns regarding their physical health, have potentially modifiable risk factors for CVD, which remain undiagnosed. Programmes designed to address the physical health problems in SMI need to be implemented and evaluated in this already marginalised group of people.
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Project description:BACKGROUND: Emerging evidence indicates an association between mental illness and poor quality of physical health care. To test this, we compared mental health clients (MHCs) with non-MHCs on potentially preventable hospitalisations (PPHs) as an indicator of the quality of primary care received. METHODS: Population-based retrospective cohort study of 139,208 MHCs and 294,180 matched non-MHCs in Western Australia from 1990 to 2006, using linked data from electoral roll registrations, mental health registry (MHR) records, hospital inpatient discharges and deaths. We used the electoral roll data as the sampling frame for both cohorts to enhance internal validity of the study, and the MHR to separate MHCs from non-MHCs. Rates of PPHs (overall and by PPH category and medical condition) were compared between MHCs, category of mental disorders and non-MHCs. Multivariate negative binomial regression analyses adjusted for socio-demographic factors, case mix and the year at the start of follow up due to dynamic nature of study cohorts. RESULTS: PPHs accounted for more than 10% of all hospital admissions in MHCs, with diabetes and its complications, adverse drug events (ADEs), chronic obstructive pulmonary disease (COPD), convulsions and epilepsy, and congestive heart failure being the most common causes. Compared with non-MHCs, MHCs with any mental disorders were more likely to experience a PPH than non-MHCs (overall adjusted rate ratio (ARR) 2.06, 95% confidence interval (CI) 2.03-2.09). ARRs of PPHs were highest for convulsions and epilepsy, nutritional deficiencies, COPD and ADEs. The ARR of a PPH was highest in MHCs with alcohol/drug disorders, affective psychoses, other psychoses and schizophrenia. CONCLUSIONS: MHCs have a significantly higher rate of PPHs than non-MHCs. Improving primary and secondary prevention is warranted in MHCs, especially at the primary care level, despite there may be different thresholds for admission in people with established physical disease that is influenced by whether or not they have comorbid mental illness.
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Project description:BackgroundVitiligo is an acquired, autoimmune depigmenting skin disorder that may affect psychological well-being.AimsTo determine the risk and impact of psychological comorbidity in people with new-onset vitiligo.MethodWe conducted a retrospective observational study, using UK general practice data (2004-2020). Adults diagnosed with vitiligo (n = 7224) were matched 1:4 with controls (n = 28 880). Associations within 2 years of diagnosis were assessed for psychological conditions: recurrent depressive disorder (RDD), depressive episodes, non-phobia-related anxiety disorder, social phobia, adjustment disorder, substance misuse, self-harm and suicide attempts. Healthcare utilisation, time off work and unemployment within 1 year were compared in those with and without a mental health condition at vitiligo diagnosis.ResultsAt diagnosis, people with vitiligo had a similar prevalence of mental health conditions as controls, except for anxiety disorder (cases 7.9%, controls 7.0%; P = 0.014). Incident RDD and anxiety disorder were more common in people with vitiligo (RDD: adjusted hazard ratio (aHR) 1.25, 95% CI 1.01-1.55; anxiety disorder: aHR 1.23, 95% CI 1.00-1.51). Risk was highest in Black and minority ethnic individuals (RDD: aHR 1.72, 95% CI 1.06-2.79; depressive episodes: aHR 1.56, 95% CI 1.03-2.37). No association was found with other mental health conditions. People with vitiligo and psychological comorbidity had more primary care encounters, more time off workand higher unemployment.ConclusionsPeople with vitiligo have a higher incidence of RDD and anxiety disorder than controls, and this risk increase may be greatest in Black and minority ethnic populations.
| S-EPMC9634603 | biostudies-literature
Project description:PurposeTo examine the risk of perinatal mental illness, including new-onset disorders and recurrent or ongoing use of mental health care, comparing women with physical, sensory, intellectual/developmental, and multiple disabilities to those without a disability.MethodsFrom all women aged 15-49 years with a singleton birth in Ontario, Canada (2003-2018), those with physical (n = 144,972), sensory (n = 45,249), intellectual/developmental (n = 2,227), and ≥ 2 of these disabilities ("multiple disabilities"; n = 8,883), were compared to 1,601,363 without a disability on risk of healthcare system contact for mental illness from conception to 365 days postpartum. The cohort was stratified into: (1) no pre-pregnancy mental illness (to identify new-onset illness), (2) distal mental illness (> 2 years pre-pregnancy, to identify recurrent illness), and (3) recent mental illness (0-2 years pre-pregnancy, to identify ongoing contact). Modified Poisson regression generated relative risks (aRR), adjusted for age, parity, income quintile, and rural residence.ResultsAbout 14.7, 26.5, and 56.6% of women with no disabilities had new-onset, recurrent, and ongoing contact for mental illness, respectively, perinatally. Risks were elevated across disability groups for new-onset (physical: aRR 1.18, 95% CI 1.16-1.20; sensory: 1.11, 1.08-1.15; intellectual/developmental: 1.38, 1.17-1.62; multiple: 1.24, 1.15-1.33), recurrent (physical: 1.10, 1.08-1.12; sensory 1.06, 1.02-1.09; intellectual/developmental: 1.24, 1.11-1.37; multiple: 1.16, 1.09-1.23), and ongoing contact (physical: 1.09, 1.08-1.10; sensory: 1.08, 1.06-1.10; intellectual/developmental: 1.31, 1.26-1.37; multiple: 1.20, 1.16-1.23).ConclusionThe heightened use of new, recurrent, and ongoing mental health care across disability groups in the perinatal period suggests that adapted screening and intervention approaches are critical to optimize perinatal mental health in this population.
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