Mental health and well-being trends among children and young people in the UK, 1995–2014: analysis of repeated cross-sectional national health surveys

Pitchforth, Jacqueline; Fahy, Katie; Ford, Tamsin; Wolpert, Miranda; Viner, Russell; Hargreaves, Dougal

doi:10.1017/s0033291718001757

Cited by 158 publications

(131 citation statements)

References 19 publications

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“…Of the mental disorders studied, lifetime mood (MDD and bipolar disorder) and anxiety (GAD and OCD) disorders showed significant associations with PMH even after controlling for important confounders such as history of chronic physical illnesses. These findings were expected given the preliminary studies in Singapore and the UK that have found association of PMH and mental well-being with either diagnosed mental disorders or symptoms of depression and anxiety [26,36]. However, this is the first study that assessed PMH among individuals meeting DSM-IV criteria for AUD.…”

Section: Discussionmentioning

confidence: 58%

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey

Vaingankar

Chong

Abdin

et al. 2020

Health Qual Life Outcomes

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Background: The link between mental illness and mental health is gaining focus in research and practice. This study aimed to investigate the association of mental disorders with positive mental health (PMH), overall health and quality of life. In addition, the role of PMH in mediating the relationships between mental disorders and health outcomes was assessed. Methods: The study sample comprised 2270 residents aged 18 years and above who participated in a nationally representative, cross-sectional survey estimating the lifetime prevalence of mood, anxiety and alcohol use disorders, and health outcomes (self-reported overall health, quality of life and PMH) in Singapore. The Positive Mental Health Instrument was used to estimate the level of Total PMH among the respondents with and without mental disorders. Associations between mental disorders and health outcomes were assessed through regression models. Path analyses were conducted to investigate mediating role of PMH. Results: Total PMH (Mean ± SD) was significantly lower among individuals having any of the studied lifetime mental disorders (4.23 ± 0.64 versus 4.50 ± 0.67 among those without these disorders). Although having a mood or anxiety disorder was associated with significantly lower Total PMH even after controlling for socio-demographic characteristics, similar relationship was not observed for alcohol use disorders. History of any mental disorders was also associated with lower overall health and quality of life. Total PMH mediated the relationships between mental disorders and overall health and quality of life by reducing the effect sizes for the associations between mental disorders and these health outcomes. Conclusions: Mental disorders were associated with poor health outcomes in affected individuals. This study showed that PMH can mediate the relationships between mental disorders and health outcomes, and act as an underlying mechanism to improve overall health and quality of life in individuals with mental disorders. Findings thus highlight the significance of incorporating mental health promotion and interventions in clinical populations.

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Section: Discussionmentioning

confidence: 58%

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey

Vaingankar

Chong

Abdin

et al. 2020

Health Qual Life Outcomes

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“…7,11 Such increases may reflect potential improvements in accuracy in young people's reporting because of greater recognition of mental health issues. 11 Alternatively, increases may represent an actual rise in difficulties. It is beyond the scope of this paper to speculate as to what might drive such a rise but many factors have been suggested including the impact of austerity, 12 increasing experience of academic pressures, 13 reduced rates of sleep 14 and increased use of social media.…”

Section: Discussionmentioning

confidence: 99%

Prevalence of mental health problems in schools: poverty and other risk factors among 28 000 adolescents in England

et al. 2019

Self Cite

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SummaryCurrent mental health provision for children is based on estimates of one in ten children experiencing mental health problems. This study analyses a large-scale community-based dataset of 28 160 adolescents to explore school-based prevalence of mental health problems and characteristics that predict increased odds of experiencing them. Findings indicate the scale of mental health problems in England is much higher than previous estimates, with two in five young people scoring above thresholds for emotional problems, conduct problems or hyperactivity. Gender, deprivation, child in need status, ethnicity and age were all associated with increased odds of experiencing mental health difficulties.Declarations of interestNone.

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“…Adolescence is a critical period for the emergence of mental disorders, 1 2 and there is evidence to suggest that adolescents are presenting to mental health services in increasing numbers, 3 with rates increasing most for those between the ages of 15 and 18 years. [4][5][6] This can be explained in part by a greater acceptability of seeking care, but also by increases in prevalence of anxiety and mood disorders. 6 At present it is estimated that under 30% of those who need mental healthcare actually access it.…”

Section: Introductionmentioning

confidence: 99%

Five models for child and adolescent data linkage in the UK: a review of existing and proposed methods

Mansfield

Gallacher

Mourby

et al. 2020

Evid Based Mental Health

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Over the last decade dramatic advances have been made in both the technology and data available to better understand the multifactorial influences on child and adolescent health and development. This paper seeks to clarify methods that can be used to link information from health, education, social care and research datasets. Linking these different types of data can facilitate epidemiological research that investigates mental health from the population to the patient; enabling advanced analytics to better identify, conceptualise and address child and adolescent needs. The majority of adolescent mental health research is not able to maximise the full potential of data linkage, primarily due to four key challenges: confidentiality, sampling, matching and scalability. By presenting five existing and proposed models for linking adolescent data in relation to these challenges, this paper aims to facilitate the clinical benefits that will be derived from effective integration of available data in understanding, preventing and treating mental disorders.

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Mental health and well-being trends among children and young people in the UK, 1995–2014: analysis of repeated cross-sectional national health surveys

Abstract: Despite a striking increase in the reported prevalence of long-standing mental health conditions among UK CYP, there was relatively little change in questionnaire scores reflecting psychological distress and emotional well-being.

Cited by 158 publications

References 19 publications

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey

Understanding the relationships between mental disorders, self-reported health outcomes and positive mental health: findings from a national survey

Prevalence of mental health problems in schools: poverty and other risk factors among 28 000 adolescents in England

Five models for child and adolescent data linkage in the UK: a review of existing and proposed methods

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