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5.
J Pediatr ; 263: 113611, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37468036

ABSTRACT

OBJECTIVE: To identify and describe distinct trajectories of cognitive and socioemotional development during childhood and to examine their relationships with adolescent health. STUDY DESIGN: We used group-based multitrajectory modeling applied to longitudinal data on 11 564 children up to age 14 years from the UK Millennium Cohort study to identify trajectories of cognitive and socioemotional development measured using validated instruments. We assessed associations between the derived trajectories and baseline socioeconomic, parental, and school factors using multinomial regression. Logistic regression was used to assess associations between trajectory groups and adolescent health at age 14 and 17 years. RESULTS: Four child development trajectories were identified: "no problems" (76.5%); "late socio-emotional problems" (10.1%); "early cognitive and socioemotional problems" (8.6%); and "persistent cognitive and socioemotional problems" (4.8%). Those in the problem trajectories were more socioeconomically disadvantaged. Compared with the "no problem" trajectory, the "late socioemotional problems" trajectory had increased odds of overweight and mental ill-health at age 14 years of 1.50 (95% CI 1.24-1.81) and 2.51 (2.03-3.10), respectively. For the "persistent problems" group, the OR for overweight was 1.41 (1.04-1.91), and for mental ill-health, 3.01 (2.10-3.30). For both groups, the associations persisted to age 17 years. CONCLUSIONS: In a representative UK cohort, groups of distinct trajectories of cognitive and socioemotional development were identified. Adverse development, if unresolved, can have a negative impact on weight and mental health in adolescence. Socioemotional development was the main driver of the impact on adolescent health and this requires emphasis in child health policy.


Subject(s)
Adolescent Health , Overweight , Adolescent , Humans , Child , Cohort Studies , Child Development , Cognition , United Kingdom/epidemiology , Longitudinal Studies
8.
Inquiry ; 59: 469580221128419, 2022.
Article in English | MEDLINE | ID: mdl-36254497

ABSTRACT

Informal waste workers are a vulnerable population group who are often socio-economically marginalized and disadvantaged, with more likelihood of experiencing ill health than the general population. To explore the determinants of mental ill health in this group, we conducted a cross-sectional survey of 1278 informal waste-workers in Nepal in 2017, using a demographic health assessment questionnaire and a modified Patient Health Questionnaire (PHQ-9). We looked at the potential associations between various exposure factors and mental health outcomes and found that 27.4% of waste-workers had depressive symptoms, more likely to be reported by female (OR 2.290), older person (OR 7.757), divorced/separated (5.859), and those with ill health (OR 2.030), or disability (OR 3.562). Waste-workers with access to social protection (OR 0.538) and financial savings (OR 0.280) were less likely to have depressive symptoms. There are key risk factors that may enable identification of particularly vulnerable persons within this group and also protective factors that may help improve their mental health resilience.


Subject(s)
Income , Mental Health , Aged , Cross-Sectional Studies , Female , Humans , Nepal/epidemiology , Risk Factors
10.
J Autism Dev Disord ; 52(5): 2247-2257, 2022 May.
Article in English | MEDLINE | ID: mdl-34085153

ABSTRACT

The COVID-19 pandemic has increased the use of telemedicine as an avenue to address the need for diagnostic clarification in young children at risk for autism spectrum disorder (ASD). Although preliminary research has supported the use of telemedicine for identifying ASD in toddlers, little is known about the experiences of practitioners attempting direct-to-home tele-assessment. We surveyed diagnostic providers regarding changes in practice behavior in the initial months of the COVID-19 pandemic and their perceptions of ASD tele-assessment. We also examined the use of the TELE-ASD-PEDS, a novel tool for ASD tele-assessment, in response to COVID-19 at seven sites across the country. Results support the clinical acceptability and diagnostic utility of ASD tele-assessment while also highlighting critical avenues of future investigation.


Subject(s)
Autism Spectrum Disorder , Autistic Disorder , COVID-19 , Telemedicine , Autism Spectrum Disorder/diagnosis , Autism Spectrum Disorder/epidemiology , Child, Preschool , Humans , Pandemics , Telemedicine/methods
11.
Article in English | MEDLINE | ID: mdl-34770127

ABSTRACT

The relationship between child development and adolescent health, and how this may be modified by socio-economic conditions, is poorly understood. This limits cross-sector interventions to address adolescent health inequality. This review summarises evidence on the associations between child development at school starting age and subsequent health in adolescence and identifies factors affecting associations. We undertook a participatory systematic review, searching electronic databases (MEDLINE, PsycINFO, ASSIA and ERIC) for articles published between November 1990 and November 2020. Observational, intervention and review studies reporting a measure of child development and subsequent health outcomes, specifically weight and mental health, were included. Studies were individually and collectively assessed for quality using a comparative rating system of stronger, weaker, inconsistent or limited evidence. Associations between child development and adolescent health outcomes were assessed and reported by four domains of child development (socio-emotional, cognitive, language and communication, and physical development). A conceptual diagram, produced with stakeholders at the outset of the study, acted as a framework for narrative synthesis of factors that modify or mediate associations. Thirty-four studies were included. Analysis indicated stronger evidence of associations between measures of socio-emotional development and subsequent mental health and weight outcomes; in particular, positive associations between early externalising behaviours and later internalising and externalising, and negative associations between emotional wellbeing and later internalising and unhealthy weight. For all other domains of child development, although associations with subsequent health were positive, the evidence was either weaker, inconsistent or limited. There was limited evidence on factors that altered associations. Positive socio-emotional development at school starting age appears particularly important for subsequent mental health and weight in adolescence. More collaborative research across health and education is needed on other domains of development and on the mechanisms that link development and later health, and on how any relationship is modified by socio-economic context.


Subject(s)
Adolescent Health , Child Development , Adolescent , Child , Health Status Disparities , Humans , Mental Health , Schools
12.
BMC Public Health ; 21(1): 2118, 2021 11 18.
Article in English | MEDLINE | ID: mdl-34794401

ABSTRACT

BACKGROUND: Social circumstances in which people live and work impact the population's mental health. We aimed to synthesise evidence identifying effective interventions and policies that influence the social determinants of mental health at national or scaled population level. We searched five databases (Cochrane Library, Global Health, MEDLINE, EMBASE and PsycINFO) between Jan 1st 2000 and July 23rd 2019 to identify systematic reviews of population-level interventions or policies addressing a recognised social determinant of mental health and collected mental health outcomes. There were no restrictions on country, sub-population or age. A narrative overview of results is provided. Quality assessment was conducted using Assessment of Multiple Systematic Reviews (AMSTAR 2). This study was registered on PROSPERO (CRD42019140198). RESULTS: We identified 20 reviews for inclusion. Most reviews were of low or critically low quality. Primary studies were mostly observational and from higher income settings. Higher quality evidence indicates more generous welfare benefits may reduce socioeconomic inequalities in mental health outcomes. Lower quality evidence suggests unemployment insurance, warm housing interventions, neighbourhood renewal, paid parental leave, gender equality policies, community-based parenting programmes, and less restrictive migration policies are associated with improved mental health outcomes. Low quality evidence suggests restriction of access to lethal means and multi-component suicide prevention programmes are associated with reduced suicide risk. CONCLUSION: This umbrella review has identified a small and overall low-quality evidence base for population level interventions addressing the social determinants of mental health. There are significant gaps in the evidence base for key policy areas, which limit ability of national policymakers to understand how to effectively improve population mental health.


Subject(s)
Population Health , Social Determinants of Health , Housing , Humans , Income , Mental Health , Systematic Reviews as Topic
13.
Syst Rev ; 10(1): 142, 2021 05 07.
Article in English | MEDLINE | ID: mdl-33962672

ABSTRACT

BACKGROUND: Reducing child health inequalities is a global health priority and evidence suggests that optimal development of knowledge, skills and attributes in early childhood could reduce health risks across the life course. Despite a strong policy rhetoric on giving children the 'best start in life', socioeconomic inequalities in children's development when they start school persist. So too do inequalities in child and adolescent health. These in turn influence health inequalities in adulthood. Understanding how developmental processes affect health in the context of socioeconomic factors as children age could inform a holistic policy approach to health and development from childhood through to adolescence. However, the relationship between child development and early adolescent health consequences is poorly understood. Therefore the aim of this review is to summarise evidence on the associations between child development at primary school starting age (3-7 years) and subsequent health in adolescence (8-15 years) and the factors that mediate or moderate this relationship. METHOD: A participatory systematic review method will be used. The search strategy will include; searches of electronic databases (MEDLINE, PsycINFO, ASSIA and ERIC) from November 1990 onwards, grey literature, reference searches and discussions with stakeholders. Articles will be screened using inclusion and exclusion criteria at title and abstract level, and at full article level. Observational, intervention and review studies reporting a measure of child development at the age of starting school and health outcomes in early adolescence, from a member country of the Organisation for Economic Co-operation and Development, will be included. The primary outcome will be health and wellbeing outcomes (such as weight, mental health, socio-emotional behaviour, dietary habits). Secondary outcomes will include educational outcomes. Studies will be assessed for quality using appropriate tools. A conceptual model, produced with stakeholders at the outset of the study, will act as a framework for extracting and analysing evidence. The model will be refined through analysis of the included literature. Narrative synthesis will be used to generate findings and produce a diagram of the relationship between child development and adolescent health. DISCUSSION: The review will elucidate how children's development at the age of starting school is related to subsequent health outcomes in contexts of socioeconomic inequality. This will inform ways to intervene to improve health and reduce health inequality in adolescents. The findings will generate knowledge of cross-sector relevance for health and education and promote inter-sectoral coherence in addressing health inequalities throughout childhood. PROTOCOL REGISTRATION: This systematic review protocol has been registered with PROSPERO CRD42020210011 .


Subject(s)
Adolescent Health , Child Development , Adolescent , Adult , Child , Child Health , Child, Preschool , Health Status Disparities , Humans , Schools , Systematic Reviews as Topic
15.
J Public Health (Oxf) ; 42(2): 224-238, 2020 05 26.
Article in English | MEDLINE | ID: mdl-30799501

ABSTRACT

BACKGROUND: Giving children the best start in life is critical for their future health and wellbeing. Political devolution in the UK provides a natural experiment to explore how public health systems contribute to children's early developmental outcomes across four countries. METHOD: A systematic literature review and input from a stakeholder group was used to develop a public health systems framework. This framework then informed analysis of public health policy approaches to early child development. RESULTS: A total of 118 studies met the inclusion criteria. All national policies championed a 'prevention approach' to early child development. Political factors shaped divergence, with variation in national conceptualizations of child development ('preparing for life' versus 'preparing for school') and pre-school provision ('universal entitlement' or 'earned benefit'). Poverty and resourcing were identified as key system factors that influenced outcomes. Scotland and Wales have enacted distinctive legislation focusing on wider determinants. However, this is limited by the extent of devolved powers. CONCLUSION: The systems framework clarifies policy complexity relating to early child development. The divergence of child development policies in the four countries and, particularly, the explicit recognition in Scottish and Welsh policy of wider determinants, creates scope for this topic to be a tracer area to compare UK public health systems longer term.


Subject(s)
Child Development , Health Policy , Child , Child, Preschool , Humans , Infant , Learning , Politics , United Kingdom
16.
J Dev Behav Pediatr ; 41(1): 16-22, 2020 01.
Article in English | MEDLINE | ID: mdl-31490843

ABSTRACT

OBJECTIVE: Preliminary feasibility and clinical utility research has demonstrated that implementation of a streamlined diagnostic model embedded within primary care (PC) clinics promotes early identification of young children with autism spectrum disorder (ASD). Use of this model results in dramatically reduced waits for diagnostic consultation, high levels of family/provider satisfaction, and reductions in referrals to overtaxed tertiary diagnostic centers. The current study extends this work by providing data before/after implementation of a streamlined model across a diverse range of PC clinics that provide health care to rural and underserved communities. METHODS: The streamlined assessment involved record/history review, diagnostic interview, standard rating scales, and an interactive screening tool. Eighty children between the ages of 19 and 47 months were seen across 5 different clinics. Data were collected through chart review. RESULTS: Implementation of streamlined model resulted in a significant decrease in latency to diagnostic conclusion from a mean of 144.7 to 49.9 days. Children were likely to experience a greater reduction in wait times if they were a PC patient versus a non-PC patient. CONCLUSION: Results show significant reduction in wait times for ASD diagnostic decisions across both PC and non-PC patients. By reducing waits and identifying concerns more efficiently, we may increase the ability of families to access early intervention and support services.


Subject(s)
Autism Spectrum Disorder/diagnosis , Child Health Services/organization & administration , Health Services Accessibility/organization & administration , Primary Health Care/organization & administration , Referral and Consultation/organization & administration , Child Health Services/statistics & numerical data , Child, Preschool , Early Diagnosis , Early Medical Intervention , Female , Health Services Accessibility/statistics & numerical data , Humans , Infant , Male , Medicaid/statistics & numerical data , Medically Underserved Area , Primary Health Care/statistics & numerical data , Referral and Consultation/statistics & numerical data , Rural Population/statistics & numerical data , Tennessee , Time Factors , United States , Vulnerable Populations/statistics & numerical data
17.
BMC Public Health ; 19(1): 1678, 2019 Dec 17.
Article in English | MEDLINE | ID: mdl-31842835

ABSTRACT

BACKGROUND: The social determinants of health have been widely recognised yet there remains a lack of clarity regarding what constitute the macro-economic determinants of health and what can be done to address them. An umbrella review of systematic reviews was conducted to identify the evidence for the health and health inequalities impact of population level macroeconomic factors, strategies, policies and interventions. METHODS: Nine databases were searched for systematic reviews meeting the Database of Abstracts of Reviews of Effects (DARE) criteria using a novel conceptual framework. Studies were assessed for quality using a standardised instrument and a narrative overview of the findings is presented. RESULTS: The review found a large (n = 62) but low quality systematic review-level evidence base. The results indicated that action to promote employment and improve working conditions can help improve health and reduce gender-based health inequalities. Evidence suggests that market regulation of tobacco, alcohol and food is likely to be effective at improving health and reducing inequalities in health including strong taxation, or restriction of advertising and availability. Privatisation of utilities and alcohol sectors, income inequality, and economic crises are likely to increase health inequalities. Left of centre governments and welfare state generosity may have a positive health impact, but evidence on specific welfare interventions is mixed. Trade and trade policies were found to have a mixed effect. There were no systematic reviews of the health impact of monetary policy or of large economic institutions such as central banks and regulatory organisations. CONCLUSIONS: The results of this study provide a simple yet comprehensive framework to support policy-makers and practitioners in addressing the macroeconomic determinants of health. Further research is needed in low and middle income countries and further reviews are needed to summarise evidence in key gaps identified by this review. TRIAL REGISTRATION: Protocol for umbrella review prospectively registered with PROSPERO CRD42017068357.


Subject(s)
Health Status Disparities , Social Determinants of Health/economics , Economics , Humans , Systematic Reviews as Topic
18.
J Chromatogr B Analyt Technol Biomed Life Sci ; 1087-1088: 29-35, 2018 Jun 15.
Article in English | MEDLINE | ID: mdl-29704798

ABSTRACT

A sensitive, selective, and reliable LC-MS/MS method was developed and validated for simultaneous quantification of venlafaxine (VEN) and its 5 metabolites (ODV, NDV, NNDDV, OHV and NODDV) in rat plasma. The calibration ranges are 15.0 to 6000 ng/mL for VEN, 1.00 to 400 ng/mL for ODV, 5.00 to 2000 ng/mL for NDV, 1.00 to 400 ng/mL for NNDDV, 10.0 to 4000 ng/mL for OHV, and 0.200 to 20.0 ng/mL for NODDV. Briefly, 50 µL of rat plasma was extracted using liquid-liquid extraction (LLE) with methyl tert-butyl ether (MTBE). The analytes were separated on an Agilent SB-Phenyl (50 mm × 4.6 mm, 3.5 µm) column using a binary gradient of 0.1% formic acid in water versus 0.1% formic acid in acetonitrile at a flow rate of 0.8 mL/min. The method was validated following FDA guidance for bioanalytical method validation. Validated method was successfully applied to a pharmacokinetic study of VEN orally administered to rats.


Subject(s)
Chromatography, Liquid/methods , Tandem Mass Spectrometry/methods , Venlafaxine Hydrochloride/blood , Venlafaxine Hydrochloride/pharmacokinetics , Animals , Drug Stability , Female , Linear Models , Rats , Reproducibility of Results , Sensitivity and Specificity , Venlafaxine Hydrochloride/chemistry
19.
Behav Anal Pract ; 9(1): 58-62, 2016 Mar.
Article in English | MEDLINE | ID: mdl-27606240

ABSTRACT

Adapted alternating treatments designs were used to evaluate three computer-based flashcard reading interventions (1-s, 3-s, or 5-s response intervals) across two students with disabilities. When learning was plotted with cumulative instructional sessions on the horizontal axis, the session-series graphs suggest that the interventions were similarly effective. When the same data were plotted as a function of cumulative instructional seconds, time-series graphs suggest that the 1-s intervention caused the most rapid learning for one student. Discussion focuses on applied implications of comparative effectiveness studies and why measures of cumulative instructional time are needed to identify the most effective intervention(s).Comparative effectiveness studies may not identify the intervention which causes the most rapid learning.Session-series repeated measures are not the same as time-series repeated measures.Measuring the time students spend in each intervention (i.e., cumulative instructional seconds) allows practitioners to identify interventions that enhance learning most rapidly.Student time spent working under interventions is critical for drawing applied conclusions.

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