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A child’s environment and early life experiences play an important role in shaping their development. The COVID-19 pandemic altered many aspects of everyday life for young children in Canada, and it has been argued that these changes did not impact all children equally. The current study explored the association between early child development and neighborhood sociodemographic indices (e.g., income, deprivation) before and after the onset of the COVID-19 pandemic. The Early Development Instrument (EDI) data, measuring child development and school readiness in kindergarten, were collected in 7 Canadian provinces and 1 territory from 2017-2020 (pre-COVID) and 2020-2023 (post-COVID) and were linked with neighborhood-level socioeconomic indices from 2016. We compared the gradients in development in a pre- (n=293,700) and a post-COVID (n=246,305) cohort of Canadian children. Rates of developmental vulnerability, as measured by the EDI, were examined for the sociodemographic variables in both the pre- and post-COVID cohorts. The overall vulnerability increased nationally from 27.3% in the pre- to 28.0% in the post-COVID cohort. A gradient in vulnerability rates for all the socioeconomic indices was found, with children in the highest quintiles, representing greater deprivation, having greater odds of being vulnerable than their peers in the lowest, least deprived quintile. Contrary to expectation, the magnitude of the gradient was very similar in both cohorts, with some jurisdictional differences. The largest gradient was found for average neighborhood income. These findings add the context of social determinants of health to the understanding of the impact of the COVID-19 pandemic on young children.

Abstract Background Previous research has demonstrated heterogeneous adaptive outcomes across the autism spectrum; however, the current literature remains limited in elucidating turning points and associated factors for longitudinal variability (chronogeneity). To address these empirical gaps, we aimed to provide a finer‐grained characterization of trajectories of adaptive functioning from early childhood to adolescence in autism. Methods Our sample (N = 406) was drawn from an inception cohort of children diagnosed Autistic at ages 2–5. Adaptive functioning was assessed with Vineland Adaptive Behavior Scales (VABS, 2nd Edition) across 6 visits from the time of diagnosis by age 18. Parallel‐process latent growth curve modeling were used to estimate domain‐level VABS trajectories, followed by latent class growth analysis to identify trajectory subgroups. Child characteristics at diagnosis, family demographics, and participation outcomes at adolescence were compared across subgroups. Results Piecewise latent growth models best described VABS trajectories with two turning points identified at around ages 5‐6 and 9–10, respectively reflecting transitions into school age and early adolescence. We parsed four VABS trajectory subgroups that vary by level of functioning and change rate for certain domains and periods. Around 16% of the sample exhibited overall adequate functioning (standard score >85) with notable early growth and social adaptation during adolescence. About 21% showed low adaptive functioning (standard score ≤70), with decreasing slopes by age 6 followed by improvements in communication and daily‐living skills by age 10. The other two subgroups (63% in total) were characterized by adaptive functioning between low and adequate levels, with relatively stable trajectories entering school age. These subgroups differed most in their cognitive ability at diagnosis, household income, and social participation in adolescence. Conclusions We identified key individual and family characteristics and time windows associated with distinct adaptive functioning trajectories, which have important implications for providing timely and tailored supports to Autistic people across developmental stages.

Introduction The developmentally variable nature of autism poses challenges in providing timely services tailored to a child’s needs. Despite a recent focus on longitudinal research, priority-setting initiatives with stakeholders highlighted the importance of studying a child’s day-to-day functioning and social determinants of health to inform clinical care. To address this, we are conducting a pragmatic multi-site, patient-oriented longitudinal investigation: the Pediatric Autism Research Cohort (PARC) Study. In young children (

BackgroundThe evidence on the association between neighborhood-level socioeconomic status (SES) and health disorders in young children is scarce. This study examined the prevalence of health disorders in Canadian kindergarten (5–6 years old) children in relation to neighborhood SES in 12/13 Canadian jurisdictions.MethodsData on child development at school entry for an eligible 1,372,980 children out of the total population of 1,435,428 children from 2004 to 2020, collected using the Early Development Instrument (EDI), were linked with neighborhood sociodemographic data from the 2006 Canadian Census and the 2005 Taxfiler for 2,058 neighborhoods. We examined the relationship using linear regressions. Children’s HD included special needs, functional impairments limiting a child’s ability to participate in classroom activities, and diagnosed conditions.ResultsThe neighborhood prevalence of health disorders across Canada ranged from 1.8 to 46.6%, with a national average of 17.3%. The combined prevalence of health disorders was 16.4%, as 225,711 children were identified as having at least one health disorder. Results of an unadjusted linear regression showed a significant association between neighborhood-level SES and prevalence of health disorders (F(1, 2051) = 433.28, p

Objectives Guided by the bioecological model, the purpose of this study was to examine the associations of (1) individual level factors (sociodemographic, health behaviour and mental health), (2) family (micro) level COVID-19 experiences (difficulty with household management, managing child mood and behaviour, and pandemic-related positive experiences) and (3) community (macro) level factors (residential instability, ethnic concentration, material deprivation and dependency, an indicator of age and labour force) with harsh parenting practices and inter-partner conflict during the early lockdown of the COVID-19 pandemic in Ontario, Canada.Design A cross-sectional analysis of data from the Ontario Parent Survey.Setting A convenience sample of 7451 caregivers living in Ontario, Canada, at the time of baseline data collection (May–June 2020).Participants Caregivers aged 18 years and older with children 17 years or younger.Outcome measures Parenting practices over the past 2 months was assessed using a published modification of the Parenting Scale. The frequency of inter-partner conflict over the past month was assessed using the Marital Conflict scale.Results Individual (sociodemographic factors, alcohol use, and higher depressive and anxiety symptoms) and family (difficulties with managing the household and child mood and behaviour) level factors were positively associated with inter-partner conflict and harsh parenting practices. Having fewer positive experiences (eg, performing activities with children), and economic adversity at the family level were positively associated with inter-partner conflict but inversely associated with harsh parenting. At the community level, residential instability was negatively associated with harsh parenting practices.Conclusions Individual and family level factors were associated with harsh parenting and inter-partner conflict. The associations of fewer positive experiences and economic hardship with harsh parenting practices may be more complex than initially thought. Efforts that raise awareness and address caregiver mental health concerns are needed as part of the pandemic response to promote positive inter-partner and parent-child interactions.

Introduction The COVID-19 pandemic has had a unique impact on the mental health and well-being of pregnant individuals and parents of young children. However, the impact of COVID-19-related stress during pregnancy on early child biopsychosocial development, remains unclear. The COVID-19 Wellbeing and Stress Study will: (1) investigate the impact of different forms of prenatal stress experienced during the pandemic (including objective hardship, perceived psychological distress and biological stress) on child stress biology, (2) examine the association between child stress biology and child developmental outcomes, (3) determine whether child stress biology acts as a mechanism linking prenatal stress to adverse child developmental outcomes and (4) assess whether gestational age at the onset of the COVID-19 pandemic or child sex, moderate these associations.Methods and analyses The COVID-19 Wellbeing and Stress Study is a prospective longitudinal study, consisting of six time points, spanning from pregnancy to 3 years postpartum. The study began in June 2020, consisting of 304 pregnant people from Ontario, Canada. This multimethod study is composed of questionnaires, biological samples, behavioural observations and developmental assessmentsEthics and dissemination This study was approved by the Hamilton Integrated Research Ethics Board (#11034) and the Mount Saint Vincent University Research Ethics Board (#2020-187, #2021-075, #2022-008). Findings will be disseminated through peer-reviewed presentations and publications, community presentations, and electronic forums (social media, newsletters and website postings).

Background: This study sought to investigate the association between urbanicity (rural-urban residency), the use of solid biomass cooking fuels and the risk of Acute Respiratory Infections (ARIs) among children under the age of 5 in sub-Saharan Africa (SSA). Methods: Cross-sectional data from the most recent surveys of the Demographic and Health Survey Program conducted in 31 sub-Saharan African countries were pooled for the analysis. The outcome variables, cough and rapid short breath were derived from questions that asked mothers if their children under the age of 5 suffered from cough and short rapid breath in the past two weeks preceding the survey. To examine the associations, multivariable negative log-log regression models were fitted for each outcome variable. Results: Higher odds ratios of cough occurred among children in urban households that use unclean cooking fuel (aOR = 1.05 95% CI = 1.01, 1.08). However, lower odds ratios were observed for rural children in homes that use clean cooking fuel (aOR = 0.93 95% CI = 0.87, 0.99) relative to children in urban homes using clean cooking fuel. We also found higher odds ratios of short rapid breaths among children in rural households that use unclean cooking fuel compared with urban residents using clean cooking fuel (aOR = 1.12 95% CI = 1.08, 1.17). Conclusion: Urbanicity and the use of solid biomass fuel for cooking were associated with an increased risk of symptoms of ARIs among children under five years in SSA. Thus, policymakers and stakeholders need to design and implement strategies that minimize children’s exposure to pollutants from solid biomass cooking fuel. Such interventions could reduce the burden of respiratory illnesses in SSA and contribute to the realization of Sustainable Development Goal 3.9, which aims at reducing the number of diseases and deaths attributable to hazardous chemicals and pollution of air, water and soil.

Abstract Background Despite the high prevalence of mental health issues among young mothers, their subsequent needs for mental health care support does not correlate with their access and use of services. The purpose of this study, grounded in the experiences of young mothers living in Ontario, Canada, was to describe their experiences of using mental health services during the perinatal period, and to identify the attributes of services and professionals that influenced their decision to engage with mental health services. Methods As the qualitative component of a sequential explanatory mixed methods study, the principles of qualitative description informed sampling, data collection, and analysis decisions. In-depth, semi-structured interviews were conducted with a purposeful sample of 29 young mothers (≤ 21 years) who met diagnostic criteria for at least one psychiatric disorder, and who were ≥ 2 months postpartum. Interview data were triangulated with data from ecomaps and a sub-set of demographic data for this purposeful sample from the survey conducted in the quantitative study component. Qualitative data were analyzed using both conventional content analysis and reflexive thematic analysis; the subset of survey data extracted for these 29 participants were analyzed using descriptive statistics. Results Young mothers identified the need to have at least one individual, either an informal social support or formal service provider who they could talk to about their mental health. Among participants deciding to seek professional mental health support, their hesitancy to access services was grounded in past negative experiences or fears of being judged, being medicated, not being seen as an active partner in care decisions or experiencing increased child protection involvement. Participants identified organizational and provider attributes of those delivering mental health care that they perceived influenced their use of or engagement with services. Conclusion Organizations or health/social care professionals providing mental health services to young pregnant or parenting mothers are recommended to implement trauma-and violence-informed care. This approach prioritizes the emotional and physical safety of individuals within the care environment. Applying this lens in service delivery also aligns with the needs of young mothers, including that they are actively listened to, treated with respect, and genuinely engaged as active partners in making decisions about their care and treatment.

Abstract Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder with increasing prevalence worldwide. Early identification of ASD through developmental screening is critical for early intervention and improved behavioural outcomes in children. However due to long wait times, delays in diagnosis continue to occur, particularly among minority populations who are faced with existing barriers in access to care. A novel Mobile Developmental Outreach Clinic (M-DOC) was implemented to deliver culturally sensitive screening and assessment practices to increase access to developmental health services, reduce wait times in diagnoses, and aid in equitable access to intervention programs among vulnerable populations in Ontario. Methods This study applied two evaluation frameworks (process and outcome evaluation) to determine whether the delivery model was implemented as intended, and if the program achieved its targeted goals. A mixed-methods design was undertaken to address the study objectives. Results Between September 2018–February 2020, M-DOC reached 227 families with developmental health concerns for their child, while successfully targeting the intended population and achieving its goals. The mean age of the child-in-need at intake was 31.6 months (SD 9.9), and 70% of the sample were male. The program’s success was attributed to the use of cultural liaisons to break cultural and linguistic barriers, the creation of multiple points of access into the diagnosis pathway, and delivery of educational workshops in local communities to raise awareness and knowledge of autism spectrum disorder. Conclusions The findings underscore the need for community-based intervention programs that focus on cultural barriers to accessing health services. The model of delivery of the M-DOC programs highlights the opportunity for other programs to adopt a similar mobile outreach clinic approach as a means to increase access to services, particularly in targeting hard-to-reach and vulnerable populations.

Abstract Background The primary aim of this study was to determine if screen use in early childhood is associated with overall vulnerability in school readiness at ages 4 to 6 years, as measured by the Early Development Instrument (EDI). Secondary aims were to: (1) determine if screen use was associated with individual EDI domains scores, and (2) examine the association between screen use and EDI domains scores among a subgroup of high screen users. Methods This prospective cohort study was carried out using data from young children participating in a large primary care practice-based research network in Canada. Logistic regression analyses were run to investigate the association between screen use and overall vulnerability in school readiness. Separate linear regression models examined the relationships between children’s daily screen use and each separate continuous EDI domain. Results A total of 876 Canadian participants participated in this study. Adjusted logistic regression revealed an association between increased screen use and increased vulnerability in school readiness (p = 0.05). Results from adjusted linear regression demonstrated an association between higher screen use and reduced language and cognitive development domain scores (p = 0.004). Among high screen users, adjusted linear regression models revealed associations between increased screen use and reduced language and cognitive development (p = 0.004) and communication skills and general knowledge domain scores (p = 0.042). Conclusions Screen use in early childhood is associated with increased vulnerability in developmental readiness for school, with increased risk for poorer language and cognitive development in kindergarten, especially among high users.

Abstract Green spaces are fast depleting in many urban areas across the world. This contributes to carbon dioxide emissions and affects the local climate and well‐being of city residents. Yet, there is limited empirical research on the spatio‐temporal patterns of change in urban green spaces and linkages to human well‐being, especially in coastal cities where urban green spaces additionally act as critical flood controls. This paper assesses the changing pattern of green space cover in Cape Coast Metropolis and the factors associated with the perceived well‐being of residents. Using a mixed‐methods design, we obtained open‐source geospatial data and gathered primary data through field observations, and in‐depth and semi‐structured interviews. These data were analysed using geospatial, statistical, and textual techniques. The results show that, from 1991 to 2018, the metropolis lost 26.57 km2 (21.66%) of its green space cover. The major land use change observed is the conversion of green spaces and wetlands into built‐up areas. The well‐being of residents related to green space use in the metropolis is associated with individuals' age and gender; the presence of good quality green space, its accessibility, and perceived importance; frequency of visits; and the time spent in the green space. The findings suggest the need for the integration of nature into urban development planning and policy, and enforcement of development controls to protect green spaces and enhance the well‐being of residents.

Abstract Background Executive functions can be adversely affected by contextual risks in the home environment including chaos and parenting challenges. Furthermore, household chaos negatively influences parenting practices. Few studies, however, have examined the role of parenting in the association between household chaos and child executive functions. Methods Using a sample of 128 school-aged children (mean = 61.9 months, SD = 2.0, range 58–68 months) and their mothers, the present study examined direct and indirect effects (via parental responsiveness) of household chaos on child executive functioning. Multi-measures were used including performance-based assessments, behavioural observations, questionnaires, and video-home tours. Results Household chaos had both a direct effect on child executive functions (β = − .31, 95% CI [− .58, − .04]) and an indirect effect (β = − .05, 95% [− .13, − .01]) via parental responsiveness. Further, the indirect effect was only significant for household instability. Conclusion These findings indicate that parental responsiveness may be compromised by household chaos, with implications for the executive functions of school-aged children. Preventative strategies are needed to improve the stability in the home and strengthen parenting practices.

In a rapidly urbanized socio-ecological landscape like that of the Keta Lagoon Complex Ramsar Site (KLCRS) with the increasing trend of anthropogenic and natural stresses, careful understanding of the relationship between ecosystem services (ESs) and human wellbeing (HWB) is central to its sustainability. We use subjective quantitative indicators and structural equation model (SEM) based on the MA framework to assess the complex relationship between ESs and HWB while considering the mediating effect of subjective social status (SSS). Using a semi-structured questionnaire, primary data was collected randomly from 794 household heads in six communities within the KLCRS enclave. SSS provided a good cumulative indicator of status across different aspects of socioeconomic standing. Our results showed that the contentment levels of provisioning, regulatory, and cultural ESs were low and moderate for most of the respondents, but there were significant community variations attributed to the differences in livelihood opportunities and prevailing environmental challenges. The study communities accounted for more than 40% of the variations in respondents' wellbeing levels. High and moderate levels of wellbeing exclusively coincided with areas where respondents had high and moderate contentment with each ESs. From the SEM, provisioning ESs had the strongest positive effect on respondents’ wellbeing and hence suggesting that HWB has mainly been achieved through provisioning ESs. Therefore, provision of alternative livelihood options, scaling-up restoration of vital habitat, and development of comprehensive strategic spatial plans were recommended to relevant stakeholders to help improve the capacity of the KLCRS to supply the regulatory services and the other ESs.

Objectives and Approach The CanNECD SES Index is a composite of 10 Canadian Census and Income Tax Filer variables, aggregated to 2,038 custom neighbourhoods covering all of Canada. The baseline 2006 Index accounted for 32% of the neighbourhood-level variance in overall developmental vulnerability in Kindergarten children, as measured by the Early Development Instrument (EDI). Other existing SES indices accounted for 17% at most. The Index now has two additional time points (2011 and 2016), which allows an evaluation of its consistency over time. Our objective is to assess three aspects of the Index’s temporal consistency. The first is the consistency of the strength of association between the Index and vulnerability rates across EDI developmental domains. The second is the consistency of neighbourhoods’ quintile rank over time. Finally, we use Confirmatory Factor Analysis in an SEM framework to assess the Index’s measurement invariance over time. Results For each EDI domain, the strength of association between Index scores and neighbourhood-level vulnerability rates were either maintained or minimally declined over time. Additionally, neighbourhood quintile rankings were highly consistent over time with over 60% of neighbourhoods in the same quintile between 2006 and 2016, and fewer than 3% with a greater than one-quintile change. Finally, our preliminary measurement invariance results show at least configural invariance over the three time points. Conclusion / implications Our results confirm the stability of the CanNECD Index, justifying its utility for: mapping SES indicators across neighbourhoods and over time, contextualizing neighbourhood-level developmental vulnerability in young children, and identifying interesting neighbourhoods for future study, especially those where the children are faring much better than predicted by the Index.

Objectives The COVID-19 pandemic has not impacted everyone equitably, including children (e.g., Li et al., 2021). The objective of this study was to explore the association between school neighbourhood composition and kindergarten educator-reported barriers and concerns regarding children’s learning during the first wave of COVID-19 related school closures in Ontario, Canada. Approach In the spring of 2020, we collected data from Ontario kindergarten educators in an online survey on their experiences and challenges with online learning during the first round of school closures. We asked educators whether they experienced a number of barriers to learning and concerns about returning to school in the Fall. We linked the educator responses to 2016 Canadian Census variables based on the school postal code. Poisson regression analyses were used to determine if there was an association between neighbourhood composition and the number of barriers and concerns reported by kindergarten educators. Results Educators (n = 2569; 74.2% kindergarten teachers, 25.8% early childhood educators; 97.6% female) who taught at schools in neighbourhoods with lower median income reported a greater number of barriers to online learning (e.g., students' lack of access to electronic devices) and concerns regarding the return to school in the fall of 2020 (e.g., concerned about differences in how much students learned during the school closures). Educators also reported a greater number of concerns regarding the return to the classroom in neighbourhoods with a greater proportion of single-parent families. Conclusion Our study confirms that the educational impacts of the COVID-19 pandemic may not have been felt equitably even by kindergarten children, as educators teaching in schools in lower SES neighbourhoods reported both more barriers to online learning, and more concerns about returning to the classroom in September 2020.

Objectives The Early Development Instrument (EDI) is a valid and reliable population-level tool measuring child developmental vulnerability in Kindergarten. The objective of this study was to derive and validate new EDI-based development “cumulative vulnerability” risk indicators using a cumulative risk index approach (Rutter, 1979). Approach The EDI has two main outcome measures: individual domain scores and vulnerability (scoring below a 10% cutpoint). To account for more complexity, we derived two new “cumulative vulnerability” measures. The Mean EDI Domain Score (MEDS) is the mean of the domain scores, and the Total EDI Vulnerability Index (TEVI) is an ordinal summative measure using domain vulnerability indicators. In Study I, we examined the relationship of the MEDS and TEVI measures with neighbourhood-level SES. In Study II, we examined the predictive/explanatory power of the MEDS and TEVI measures with Grade 3 provincial assessments in Ontario, Canada. Results Study I used EDI Kindergarten data from twelve provincial and territorial data collections between 2008 and 2013 in Canada (316,015 children) aggregated to 2,038 customized neighbourhoods. The two new cumulative vulnerability measures worked as expected, with positive association between MEDS and neighbourhood SES (r=0.58), and a negative association between TEVI and neighbourhood SES (r=-0.57). Study II used data from 61,039 Kindergarten children matched between the EDI and Grade 3 EQAO datasets. The predictive/explanatory power of Mean EDI Domain Scores (MEDS; R2=0.11 to 0.15) was twice that of new ordinal summative measure (TEVI; R2=0.06 to 0.08). Interestingly, the predictive power of the TEVI was similar to that of the composite EDI outcome measure, overall vulnerability (vulnerable on one or more domains). Conclusion The MEDS and TEVI work as expected and can be used for research and reporting purposes. More specifically, the TEVI can also be used as a severity metric evaluating the impact of multiple developmental vulnerabilities. It is recommended that further research be conducted to validate the measures with other datasets.

Objectives To contribute to the evidence on the association between neighbourhood-level child development in Kindergarten and neighbourhood SES, our objective was to quantify the sociodemographic and child development characteristics of the neighbourhoods that “defy expectations”: high SES neighbourhoods with much-worse-than-expected child outcomes, and low SES neighbourhoods with much-better-than-expected child outcomes. Approach Using exploratory and model-based Latent Profile Analysis (LPA), we identified homogenous profile groups of 2038 customized Canadian neighbourhoods using ten SES indicators. We identified the most parsimonious number of profile groups and validated and characterized the derived groups of neighbourhoods using neighbourhood and aggregated child characteristics. Next, as our outcome, we created quartile groups for developmental vulnerability risk, measured with the Early Development Instrument (EDI), to match the number of derived neighbourhood profile groups. Last, we used contingency table analysis to identify neighbourhoods that defy expectations, and then characterized these neighbourhoods using descriptive statistics and correlational analysis. Results The LPA identified four neighbourhood SES groups which we labelled “Low” (31.6%), “Low-moderate” (12.7%), “High-moderate” (38.4%) and “High” (17.4%). These four SES groups were cross-tabulated with quartile groups of EDI vulnerability risk. Inspection of the resulting 4-by-4 contingency table showed that within the “Low” SES profile group 57 (8.9%) neighbourhoods had much-better-than-expected developmental vulnerability risk. Conversely, within the “High” SES profile group, 12 (3.4%) neighbourhood had much-worse-than-expected developmental vulnerability risk. Additionally, these analyses identified large provincial differences in the proportion of neighbourhoods that defy expectation. In 12 provinces and territories in the study, the proportion of neighbourhoods that defied expectations within each province ranged from zero to 50%. Conclusion The identification of neighbourhoods that defy expectations contributes to our understanding of neighbourhood factors influencing child development. Using mixed-methods approaches, these neighbourhoods can be compared to nearby neighbourhoods from the same SES profile group that do not defy expectations, in an effort to identify contextual factors that differentiate them.

Tracking parents’ mental health symptoms and understanding barriers to seeking professional help are critical for determining policies and services to support families’ well-being. The COVID-19 pandemic has posed enormous challenges to parents’ mental health and the access to professional help, and there are important public health lessons that must be learned from the past 2 years’ experiences to inform future mental health responses to social- and family-level stressful events. This study examines the trajectories of parents’ depressive and anxiety symptoms over a year during the pandemic as related to their mental health help-seeking. Data were collected from a sample of parents residing in Ontario, Canada at baseline (May–June, 2020; Wave 1) and again 1 year later (Wave 2; referred to as W1 and W2 below). Parents (n = 2,439; Mage = 39.47, SD = 6.65; 95.0% females) reported their depressive and anxiety symptoms at both waves. Mental health help-seeking, including self-reported contact with professional help and perceived unmet mental health needs, was measured at W2. Parents were classified into four groups by mental health help-seeking. Inconsistent seekers and non-seeking needers, both reporting perceived unmet needs for professional help, showed greater increases in depressive and anxiety symptoms, whereas parents with no need or needs met showed smaller increases in depressive symptoms and decreases in anxiety symptoms. Belief in self-reliance and time constraints were the leading reasons for not seeking help. These findings suggest that over a year into the pandemic, parents with perceived unmet mental health needs were at greater risk for worsening depressive and anxiety symptoms. Recognizing the demands for mental health services when families experience chronic stressors and targeting the identified barriers may promote family well-being during and beyond this pandemic.

Abstract Background Although there is high co-occurrence between ASD and ADHD, the nature of this co-occurrence remains unclear. Our study aimed to examine the underlying relationship between ASD and ADHD symptoms in a combined sample of children with a primary clinical diagnosis of ASD or ADHD. Methods Participants included children and youth (aged 3-20 years) with a clinical diagnosis of ASD (n = 303) or ADHD (n = 319) for a total of 622 participants. Parents of these children completed the social communication questionnaire (SCQ), a measure of autism symptoms, and the strengths and weaknesses of ADHD and normal behavior (SWAN) questionnaire, a measure of ADHD symptoms. A principal component analysis (PCA) was performed on combined SCQ and SWAN items, followed by a profile analysis comparing normalized component scores between diagnostic groups and gender. Results PCA revealed a four-component solution (inattention, hyperactivity/impulsivity, social-communication, and restricted, repetitive, behaviors, and interests (RRBI)), with no overlap between SCQ and SWAN items in the components. Children with ASD had higher component scores in social-communication and RRBI than children with ADHD, while there was no difference in inattentive and hyperactive/impulsive scores between diagnostic groups. Males had higher scores than females in social-communication, RRBI, and hyperactivity/impulsivity components in each diagnostic group. Limitations We did not formally assess children with ASD for ADHD using our research-criteria for ADHD, and vice versa. High rates of co-occurring ADHD in ASD, for example, may have inflated component scores in inattention and hyperactivity/impulsivity. A disadvantage with using single informant-based reports (i.e., parent-rated questionnaires) is that ASD and ADHD symptoms may be difficult to distinguish by parents, and may be interpreted differently between parents and clinicians. Conclusions ASD and ADHD items loaded on separate components in our sample, suggesting that the measurement structure cannot explain the covariation between the two disorders in clinical samples. High levels of inattention and hyperactivity/impulsivity were seen in both ASD and ADHD in our clinical sample. This supports the need for a dimensional framework that examines neurodevelopmental domains across traditional diagnostic boundaries. Females also had lower component scores across social-communication, RRBI, and hyperactivity/impulsivity than males, suggesting that there may be gender-specific phenotypes related to the two conditions.

Recent advances in longitudinal methodologies for observational studies have contributed to a better understanding of Autism as a neurodevelopmental condition characterized by within-person and between-person variability over time across behavioral domains. However, this finer-grained approach to the study of developmental variability has yet to be applied to Autism intervention science. The widely adopted experimental designs in the field—randomized control trials and quasi-experimental designs—hold value for inferring treatment effects; at the same time, they are limited in elucidating what works for whom, why, and when, given the idiosyncrasies of neurodevelopmental disorders where predictors and outcomes are often dynamic in nature. This perspective paper aims to serve as a primer for Autism intervention scientists to rethink the way we approach predictors of treatment response and treatment-related change using a dynamic lens. We discuss several empirical gaps, and potential methodological challenges and opportunities pertaining to: (1) capturing finer-grained treatment effects in specific behavioral domains as indexed by micro-level within-person changes during and beyond intervention; and (2) examining and modeling dynamic prediction of treatment response. Addressing these issues can contribute to enhanced study designs and methodologies that generate evidence to inform the development of more personalized interventions and stepped care approaches for individuals on the heterogeneous spectrum of Autism with changing needs across development.

Objective: The day-to-day experience of families with an Autistic child may be shaped by both, child characteristics and available resources, which often are influenced by the socioeconomic context of the family. Using a socioecological approach, this study explored the quantitative associations between child autistic symptoms, family socioeconomic status, and family life.Methods: Data came from the Pediatric Autism Research Cohort—PARC Study (pilot). Parents of children with a recent diagnosis of autism completed a set of assessments, including the Autism Family Experience Questionnaire, Autism Impact Measure, and a Sociodemographic Questionnaire. A series of multiple, iterative linear regression models were constructed to ascertain quantitative associations between child autistic symptoms, socioeconomic context, and family life.Results: A total of 50 children (mean age: 76 months; SD: 9.5 months; and 84% male) with data on the variables of interest were included in the analysis. The frequency of child autistic symptoms was associated with family life outcomes (p = 0.02 and R2 = 24%). Once autistic symptom frequency, symptom impact, and sociodemographic variables were considered, parents of higher educational attainment reported worse family life outcomes compared to their lesser-educated counterparts. This cumulative regression model had considerable explanatory capability (p = 0.01, R2 = 40%).Conclusion: This study demonstrates the utility of using a socioecological approach to examine the dynamic interplay between child characteristics and family circumstances. Our findings suggest that family life for parents (of an autistic child) who have obtained higher education is reported (by the parents themselves) as less satisfactory compared to that of parents without higher education, once adjusted for the autistic symptom frequency of child, symptom impact, and income. These findings can inform the design and delivery of more family-centered care pathways during the years following a diagnosis of autism.

Background: Many phenotypic studies have estimated the degree of comorbidity between Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), but few have examined the latent, or unobserved, structure of combined ASD and ADHD symptoms. This is an important perquisite toward better understanding the overlap between ASD and ADHD.Methods: We conducted a scoping review of studies that examined the factor or latent class structure of ASD and ADHD symptoms within the same clinical or general population sample.Results: Eight studies met final inclusion criteria. Four factor analysis studies found that ASD and ADHD domains loaded separately and one found that some ASD and ADHD domains loaded together. In the three latent class studies, there were evidence of profiles with high levels of co-occurring ASD and ADHD symptoms.Conclusions: Our scoping review provides some evidence of phenotypic overlap between ASD and ADHD at the latent, or unobserved, level, particularly when using a “person-centered” (latent class analysis) vs. a “variable-centered” (factor analysis) approach.

Introduction Longitudinal trajectory methods, featuring outcome assessments at three or more time points, are increasingly being used as appropriate approaches to understand developmental pathways of people on the autism spectrum across the lifespan. Understanding the scope of this rapidly expanding body of research can help inform future trajectory studies and identify areas for potential meta-analysis as well as key evidence gaps. We present the protocol for a scoping review whose objective is to identify and summarise the scope of research that uses a longitudinal trajectory study design to examine development in children diagnosed with autism. Specifically, we will identify outcome domains and age intervals that have been well characterised, areas where further research is needed and the historical use of various longitudinal trajectory analytical approaches.Methods and analysis We outline the methods for the proposed scoping review according to the framework outlined by Arksey and O’Malley, with subsequent clarifications and enhancements by other authors. Using a search strategy developed by a medical librarian, we will search six databases for relevant publications. Titles and abstracts will be screened in duplicate, followed by full-text screening. Data extraction fields developed predominantly a priori from a set of guiding subquestions will be used to chart relevant data. The findings will include quantitative aggregate summaries, narrative summaries, and appraisal of trajectory studies according to our methodological subquestions. We will consult autistic self-advocate and parent–caregiver stakeholders to facilitate interpretation of the findings.Ethics and dissemination Research ethics approval is not required for this scoping review. The results will be presented to researcher, care professional, policy-maker and stakeholder audiences at local and international conferences, other dissemination activities and published in a peer-reviewed journal.

IntroductionThe coronavirus 2019 (COVID-19) has overwhelmed the health systems of several countries, particularly those within the African region. Notwithstanding, the relationship between health systems and the magnitude of COVID-19 in African countries have not received research attention. In this study, we investigated the relationship between the pervasiveness of the pandemic across African countries and their Global Health Security Index (GHSI) scores.Materials and methodsThe study included 54 countries in five regions viz Western (16); Eastern (18); Middle (8); Northern (7); and Southern (5) Africa. The outcome variables in this study were the total confirmed COVID-19 cases (per million); total recoveries (per million); and the total deaths (per million). The data were subjected to Spearman's rank-order (Spearman's rho) correlation to determine the monotonic relationship between each of the predictor variables and the outcome variables. The predictor variables that showed a monotonic relationship with the outcome were used to predict respective outcome variables using multiple regressions. The statistical analysis was conducted at a significance level of 0.05.ResultsOur results indicate that total number of COVID-19 cases (per million) has strong correlations (rs >0.5) with the median age; aged 65 older; aged 70 older; GDP per capita; number of hospital beds per thousand; Human Development Index (HDI); recoveries (per million); and the overall risk environment of a country. All these factors including the country's commitments to improving national capacity were related to the total number of deaths (per million). Also, strong correlations existed between the total recoveries (per million) and the total number of positive cases; total deaths (per million); median age; aged 70 older; GDP per capita; the number of hospital beds (per thousand); and HDI. The fitted regression models showed strong predictive powers (R-squared>99%) of the variances in the total number of COVID-19 cases (per million); total number of deaths (per million); and the total recoveries (per million).ConclusionsThe findings from this study suggest that patient-level characteristics such as ageing population (i.e., 65+), poverty, underlying co-morbidities-cardiovascular disease (e.g., hypertension), and diabetes through unhealthy behaviours like smoking as well as hospital care (i.e., beds per thousand) can help explain COVID-19 confirmed cases and mortality rates in Africa. Aside from these, other determinants (e.g., population density, the ability of detection, prevention and control) also affect COVID-19 prevalence, deaths and recoveries within African countries and sub-regions.

There is limited knowledge about the relationship between neighbourhood socioeconomic status (SES) and development of kindergarten children with ASD. The primary objective of this study was to determine the association between neighbourhood SES and developmental vulnerability of kindergarten children with ASD while controlling for family SES across 10 provinces and territories in Canada. This study used data from a population level database of child development in kindergarten, collected with the Early Development Instrument (EDI). The EDI covers five broad domains of developmental health: physical health and well-being, social competence, emotional maturity, language and cognitive development, and communication skills and general knowledge. Neighbourhood SES was assessed with an SES index created using 10 variables from the 2011 Canadian Census and 2010 Taxfiler data. Family SES was assessed using 4 variables from the 2016 Canadian Census. Descriptive statistics and regression-based models were used in this study. Multilevel binary logistic regression analyses were used to examine the association between neighbourhood SES and child developmental vulnerability (yes/no), at the individual level, while controlling for family SES, demographic characteristics, and neighbourhood clustering. The association between neighbourhood SES and child developmental vulnerability at the individual level, while controlling for family SES and demographic characteristics was examined with binary single level logistic regression analyses. Multivariable linear regression analyses were used to examine the association between neighbourhood SES and developmental vulnerability at the neighbourhood level (% of kindergarten children with ASD demonstrating developmental vulnerability in a neighbourhood). In Ontario, British Columbia, Manitoba, and Newfoundland and Labrador, higher neighbourhood SES was associated with lower likelihood of developmental vulnerability. In Nova Scotia, higher neighbourhood SES was associated with higher likelihood of vulnerability in the social competence and communication skills and general knowledge domains. These findings emphasize the importance of addressing neighbourhood deprivation to support the development of children with ASD. Additionally, the inconsistency highlights the importance of examining the mechanisms through which neighbourhood SES impacts development of these children on a provincial basis.

Introduction Children with special educational needs (SEN) often struggle academically. Previous studies found that children’s abilities in kindergarten are predictive of their future SEN status. It is currently unknown whether these predictors differ in children with and without an early identification of a special need in kindergarten (SN-K). Objectives and Approach We investigated early predictors of SEN in Grade 3, in a cohort of Ontario children, with and without SN-K (1,824 and 62,842, respectively), who attended kindergarten between 2003/04 and 2005/06. Early Development Instrument data, a teacher-completed checklist of children’s development, were linked to Grade 3 standardized reading, writing, and mathematics test scores. Controlling for children’s demographics, multivariate binary logistic regressions were conducted examining the association between children’s developmental outcomes, their functional impairments, the necessity for further assessment (all reported by their kindergarten teacher) and their SEN status in Grade 3. Results Overall, 69.8% of children with SN-K had SEN in Grade 3, while 11.6% of children without SN-K had SEN. Our analyses revealed that, for children with SN-K, having a functional impairment was the most significant predictor of having SEN in Grade 3 (Odds Ratio=3.61, 2.59-5.02 95% confidence interval). For children without SN-K, teachers reporting the need for further assessment was the strongest predictor of having SEN in Grade 3 in children without SN-K (Odds Ratio=2.70, 2.49-2.93). Conclusion / Implications Early predictors of SEN in Grade 3 differ for children who receive an early identification (SN-K) compared to those who don’t. How children with SN-K function in a classroom is the best predictor of SEN in Grade 3, while teachers’ observation that a child needs further assessment is the strongest predictor of SEN in Grade 3 for those without SN-K. Addressing these areas early on may help reduce the number of children with SEN in later grades and may positively impact their future academic success.

Background:. To determine the superiority of autologous abdominal tissue (AAT) or tissue-expander implant (TE/I) reconstruction, a robust comparative cohort study is required. This study sought to determine the feasibility of a future large pragmatic cohort study comparing clinical and cost-effectiveness of AAT and TE/I at 12 months postoperative. Methods:. Potential participants were screened during consultation with their surgeon. Three health-related quality-of-life scales, the Health Utility Index Mark 3, the 12-Item Short Form Health Survey, and the BREAST-Q were used preoperatively, 1, 6, and 12 months postoperatively. Direct medical costs and postoperative patient/caregiver productivity loss were collected using patient diaries. Feasibility was assessed through patient recruitment rates and compliance of patients and study staff to complete required study documentation. Results:. Sixty-three patients consented to participate, 44 completed baseline questionnaires; the feasibility objective of recruiting 80% of eligible patients was not met. A 90% completion rate for patient questionnaires was seen at 1-month follow-up and decreased up to 12 months. Quality-adjusted life years were calculated at 0.77 and 0.89 for the AAT and TE/I group, respectively. Case report form completion by study staff and patient diary completion was moderate and low, respectively. Collaborating with hospital case-costing specialists to identify direct medical costs was reliable and efficient. Conclusions:. A future large-scale study is feasible. However, due to a diminishing rate of questionnaire completion, almost twice as many patients need to be recruited than expected to have adequate power. Cost data collection from hospital sources was reliable. Case report forms need to be tailored more toward a busy hospital setting.

Background:. Patients who had undergone both autologous abdominal tissue (AAT) and tissue expander and implant (TE/I) breast reconstruction reported satisfaction with their reconstruction. While aesthetics and quality of life are important, the cost associated with these procedures must also be considered when choosing one method over the other. The objective of this study was to determine whether AAT-based breast reconstruction is cost-effective compared with 2-stage TE/I reconstruction at a 12-month follow-up. Methods:. Thirty-five patients consented and complied to participate in the study with a follow-up of 12 months. The effectiveness of both AAT and TE/I was measured using the Health Utilities Index Mark 3 (HUI-3). From the HUI-3 results, quality-adjusted life years were calculated for each reconstructive approach. Direct healthcare and productivity costs were captured from surgeon billing codes, patient files, and patient diaries. The perspectives of both the Ministry of Health and of society were considered. Results:. From the perspectives of both the Ministry of Health and of society, AAT was less effective and more costly when compared with TE/I. Conclusions:. In this economic evaluation, TE/I dominated AAT, in that TE/I was more effective and less costly as compared with AAT from the perspectives of both the Ministry of Health and of society at 12 months of follow-up. This conclusion should be interpreted with caution due to a small sample size, the short timespan of the study, and the nonrandomized study design.

Sex differences in early child development (ECD) are well documented, as is the socioeconomic status (SES) gradient in early development outcomes. However, relatively little is known about whether the SES gradient in ECD outcomes varies by sex. This study examines whether the association between neighbourhood SES and developmental health outcomes of Canadian kindergarten children is different for girls than for boys. Individual-level child development data, collected using the Early Development Instrument (EDI), were combined with neighbourhood-level socioeconomic data from Statistics Canada's Census and Tax Filer databases. Using an SES index comprising 10 socioeconomic variables, we show a significant cross-level interaction between neighbourhood SES and sex in relation to children's developmental outcomes: the neighbourhood SES gradient in child outcomes is steeper for males than for females. This finding was consistent across all five developmental domains measured by the EDI, for overall developmental health, and across geographical regions in Canada. Further research using family-level SES data, data from multiple time points and countries, and qualitative studies would help to further contextualize the observed interactions.

Introduction Studies have consistently demonstrated a gradient between median neighbourhood income and child developmental outcomes. By investigating statistical outliers—neighbourhoods with children exhibiting less or more developmental vulnerability than that predicted by median neighbourhood income—there is an opportunity to identify other neighbourhood characteristics that may be enhancing or impeding early childhood development. Objective Testing a variety of neighbourhood factors, including immigrant or ethnic concentration and characteristics of structural disadvantage (proportion of social assistance recipients, homes in need of major repair, residents with high school education only, lone parent families, and residents moving in the last year) we sought to identify factors associated with more or less developmental vulnerability than that predicted by median neighbourhood income, for young children. Methods For this cross-sectional study we used validated Early Development Instrument (EDI) data (2003-2013) linked to demographic and socioeconomic Census and Tax Filer data for 98.3% of Canadian neighbourhoods (n=2,023). The purpose of the instrument is to report, at a population-level, children’s school readiness. Children’s developmental vulnerability was assessed in five domains (physical health and well-being, emotional maturity, social competence, language and cognitive development, and communication and general knowledge) in relation to the 10th percentile from a national normative sample. Levels of children’s neighbourhood vulnerability were determined per domain, as percent of children vulnerable at a given domain. Neighbourhoods were grouped into three cohorts, those having lower than predicted, as predicted, or higher than predicted children’s vulnerability according to neighbourhood median income. Using multivariable binary logistic regression we modelled the association between select neighbourhood characteristics and neighbourhoods with lower or higher than predicted vulnerability per domain, compared to neighbourhoods with predicted vulnerability. This allowed us to determine neighbourhood characteristics associated with better or worse child developmental outcomes, at a neighbourhood-level, than that predicted by income. Results In neighbourhoods with less child developmental vulnerability than that predicted by income, high or low immigrant concentration and ethnic homogeneity was associated with less vulnerability in physical (adjusted odds ratio (aOR) 1.66, 95% CI: 1.43, 1.94), social (aOR 1.30, 95% CI: 1.11, 1.51), and communication domains (aOR 1.24, 95% CI: 1.03, 1.47) compared to neighbourhoods with vulnerability concordant with income. Neighbourhood ethnic homogeneity was consistently associated with less developmental vulnerability than predicted by income across all developmental domains. Neighbourhood-level structural disadvantage was strongly associated with child developmental vulnerability beyond that predicted by median neighbourhood income. Conclusion Canadian neighbourhoods demonstrating less child developmental vulnerability than that predicted by income have greater ethnic and ethnic-immigrant homogeneity than neighbourhoods with child developmental vulnerability concordant with income. Neighbourhood social cohesion and cultural identity may be contributing factors. Neighbourhood structural disadvantage is associated with poorer early childhood development, over and above that predicted by neighbourhood income. Neighbourhood-level policy and programming should address income and non-income related barriers to healthy child development.

The developmental health of young children is highly influenced by the socioeconomic conditions in which they are raised. How to accurately measure these conditions is a point of debate in the current literature on child development, health, and social determinants. We have evaluated four existing indices of socioeconomic status (SES) to determine the most relevant for the analysis of early childhood development (ECD) in Canada. Following a literature review of published SES indices which used 2006 Canadian Census data, four indices were chosen based on their relevance to ECD and the number of citations in subsequent articles. These were: the Canadian Deprivation Index, the Socioeconomic Factor Index, the Canadian Marginalization Index and an index created by the Early Childhood Mapping Project in Alberta, Canada. The indices were replicated using SES data for 2038 customized geographic neighbourhoods encompassing 99.9% of the Canadian population, and the relationship of the indices to ECD was investigated by linking to aggregated data from the Early Development Instrument (EDI), a teacher-completed questionnaire used to assess kindergarten children's physical, social, emotional, and cognitive development, and communication skills. The derived SES indices were compared based on four criteria: the input variables used, the index structure, the interpretability of the index and the variance they explained (R2) in the different EDI outcome measures. In terms of variance explained, material components of the SES indices (e.g., income, education) consistently showed the strongest association with children's language and cognitive development. The patterns of association for the non-material SES components and the other developmental domains of the EDI were more complex. We discuss the findings in regard to current developments in the field, and the need for refining empirical and theoretical approaches to examine associations between different facets of SES contextual factors and different aspects of ECD outcomes.

Researchers increasingly employ longitudinal trajectory methods to understand developmental pathways of people on the autism spectrum across the lifespan. By assessing developmental or health-related outcome domains at three or more timepoints, trajectory studies can characterize their shape and varying rates of change over time. The purpose of this scoping review was to identify and summarize the published breadth of research that uses a trajectory study design to examine development in children (to age 18 years) diagnosed with autism. Using a systematic search and screening procedure, 103 studies were included. This review summarizes methodological characteristics across studies including the varying statistical approaches used. A series of figures maps where published research is available across 10 outcome domains and the ages over which children have been followed. Evidence gaps, informed by the perspectives of the autistic and caregiver stakeholders that were engaged in this review, are discussed. We recommend that future trajectory research addresses the absence of studies from low- and middle-income countries, considers longitudinal assessment of outcome domains that caregivers and autistic people consider meaningful, and plans follow-up periods with assessment timepoints that cover the gaps in ages where more outcome-specific data are needed.

Design and evaluation of early child development (ECD) programs are poorly documented in low- or middle-income countries. The study aimed to identify family and child characteristics associated with developmental health outcomes among children aged from 4 to 6 years who participated in the “Primeira Infância Melhor” - PIM (Better Early Childhood), a home visiting program in Rio Grande do Sul State, Brazil. We also evaluated the impact of PIM on developmental vulnerability at school entry using a comparison group. Multistage sampling was first used to select cities, then families, in different regions of the state, resulting in a sample of eight cities and 571 children (364 PIM; 207 comparison). We used a sociodemographic questionnaire, completed by parents, and the Early Development Instrument (EDI), completed by teachers. Among PIM children, lower family income, time of exit from the program, city, and younger age were associated with higher risk of developmental vulnerability and/or with lower mean scores in EDI domains. Multivariate analysis controlling for covariates found no differences between the study groups in EDI outcomes even though the gaps in equity of the outcomes were smaller in the PIM group. These results are discussed in the context of challenges faced by home visiting programs in addressing complex social conditions of high-risk families and difficulties in finding an adequate comparison group in communities where an ECD program is universally accessible. We also note the importance of setting structured and longitudinal monitoring systems together with the implementation of ECD policies.

This study reports on the multi-method longitudinal examination of a structured arts program (combination of theatre, visual and media arts) for youth, aged 9 to 15 years, from a low-income community in Hillsborough County in Tampa, Florida. Evaluated were the extent to which the community-based organization could recruit and retain youth in the program and whether they demonstrated improvement with respect to artistic ability and psychosocial indicators. The results suggest successful recruitment and sustained attendance rates. The study employed a multilevel growth curve analyses of observational and behavioral outcomes which showed significant gains in artistic and social skills, and a significant reduction in emotional problems. The contention that community arts programs promote positive youth development is supported by this study.

This study examined educators' descriptions of the positive character traits of students with autism spectrum disorder at ages 7-8 and 10-11, using an adapted version of the Values in Action (VIA) Classification of Strengths. The most commonly endorsed strengths at both age intervals were kindness, specific skills, self-regulation, and perseverance. Higher scores for challenging behavior were associated with a lower likelihood of endorsement for Happiness and Courage traits. Higher autism symptom severity scores were associated with a lower likelihood of endorsement for Courage traits. Few significant differences were found for endorsement of trait categories by students' educational placement or the type of curriculum they received. Results may have implications for student-teacher relationships, educational assessments, and school-based interventions that emphasize strengths and resilience.

Introduction In Ontario kindergarten children, measures of early child development (ECD) indicate worsening outcomes over the last two provincial measurements (2012-2015), particularly among indicators of early physical, emotional and social development. This is despite significant investments in early childhood in the province through the roll-out of universal full day kindergarten. Objectives and Approach Our objective is to uncover correlates of change in the measures of ECD using the Early Development Instrument (EDI) between 2012 and 2015, particularly in relation to the average home/neighbourhood environments of students where school-level outcomes declined. This analysis links individual EDI data in Ontario, with 2016 DA-level Canadian Census data aggregated to the school level. The EDI is a kindergarten teacher-completed questionnaire measuring school readiness across five domains of child development. The schools are classified into groups based on whether they experienced statistically meaningful change in the domains of the EDI over the observed timeframe. Results The changes observed at the provincial level were consistent with those observed at the school level. Developmental vulnerability increased overall, in the Physical Health and Well-being, Social Competence and Emotional Maturity domains. Vulnerability decreased in the Language and Cognitive Development and Communication Skills and General Knowledge domains. While the analyses are still ongoing, preliminary findings suggest that schools with a higher proportion of children from high immigrant, and high income neighbourhoods tended to improve more than other schools. These along with some other socioeconomic neighbourhood characteristics identify sub-groups of schools that tended to see more positive or negative change on average across the five domains. We will supplement these findings using the time of introduction of the free full-day kindergarten program in each school. Conclusion/Implications The presentation breaks down recent trends in kindergarten school readiness to identify schools that did better or worse than average based on socioeconomic and demographic characteristics. The analysis will also incorporate the timing of the introduction of full-day kindergarten into each school, providing insight into the effects of the program.

The Canadian Neighbourhoods Early Child Development (CanNECD) database is a unique resource for research on child developmental health and well-being within the socioeconomic and cultural context of Canadian neighbourhoods. This paper describes the CanNECD database and highlights its potential for advancing research at the intersection of child development, social determinants of health, and neighborhood effects. The CanNECD database contains Pan-Canadian population-level child developmental health data collected through regional implementation of the Early Development Instrument (EDI), geo-coded information on residential neighbourhoods covering all of Canada, and socioeconomic and demographic variables from the Canada Census and Income Taxfiler database. The data are de-identified but linkable across datasets through use of common numeric sequences. The nearly 800,000 records spanning 2003-2014 and representing all Canadian provinces and territories (with the exception of Nunavut) are compiled in a secure electronic collection system at the Offord Centre for Child Studies, McMaster University in Hamilton, Canada. Early studies using the EDI demonstrated its utility as a tool for assessing child developmental health at a population level, and its potential for both community-level and large-scale monitoring of child populations. Research using the CanNECD database is now examining to what extent social determinants and the steepness of the social gradients of developmental health differ between geographical jurisdictions and between different sub-populations. We are also working to identify outlier neighbourhoods in which EDI scores are substantially higher or lower than predicted by a neighbourhood’s demographic and socioeconomic characteristics, and exploring other potentially important determinants of children’s developmental health. Finally, we are examining the extent to which change-over-time in aggregate EDI scores vary geographically, and how well it coincides with changes in socioeconomic factors. Thus, the CanNECD database offers the opportunity for research that will inform national policies and strategies on child developmental health.

Introduction The literature provides abundant evidence of socioeconomic gradients in health outcomes. However, it is unclear, and particularly understudied in early child development research, whether these observed gradients are linear, whether they diminish as socioeconomic status (SES) increases, and if they ultimately reverse in slope at the highest SES values. Objectives and Approach We linked neighbourhood-level Census and Tax Filer data with Early Development Instrument (EDI) data across Canada. The EDI is a kindergarten teacher-completed measure of five domains of early child development. We used this linked database to statistically compare and choose the most appropriate functional form of the relationship between each of the EDI domains (dependent variables), and the Canadian Neighbourhoods and Early Child Development (CanNECD) study's SES index (predictor) in regression models. Model comparison approaches included: visual checks of lines fitted using Generalized Additive Models, Akaike and Bayesian Information Criterions, Ramsay’s RESET, J and Cox tests. Results The results indicate the optimal functional form of the gradient varies across domains of the EDI. The best model for the Physical Health and Well-Being domain was quadratic, suggesting there may be some reversal in slope at higher values of SES. The best models for the Social Competence and Language and Cognitive Development domains were logarithmic, indicating diminishing returns to SES but with no slope reversal. The best model for the Emotional Maturity domain was linear, suggesting the gradient was consistent across all values of SES. The best fit for the Communication Skills and General Knowledge domain was a cubic ‘S’ curve, suggesting the curve is positive and concave for lower levels of SES but curves upwards beyond a certain SES threshold. Conclusion/Implications The results demonstrate the importance of examining functional forms when modeling socioeconomic gradients. Assuming linear relationships between SES and health outcomes (early child development, in this case) may distort and bias the true nature of the relationships, thus leading to misinterpretations, especially at the highest and lowest values of SES.

Background:. There are numerous surgical techniques for the treatment of first carpometacarpal joint osteoarthritis, however, controversy exists as to whether outcomes differ between techniques. This feasibility study aimed to determine if a large-scale, health-related quality of life and functional outcomes study comparing 2 surgical techniques, complete trapeziectomy with ligament reconstruction and tendon interposition (T + LRTI) versus partial trapeziectomy and tendon interposition (PT + TI) arthroplasty, is possible. Methods:. Patients with advanced stage arthritis (Eaton stages II–IV) of the thumb were invited to undergo either T + LRTI or PT + TI at 1 of the 2 hand surgery practices. Feasibility outcomes included: (1) Process: recruitment rate; (2) Resources: eligibility rate, eligibility criteria, retention, and compliance rates (completion of health-related quality of life questionnaires, Disabilities of the Arm, Shoulder, and Hand, EuroQol-5D-3L, and SF-36, and functional measurements, grip, key pinch, and tip pinch strength, at 1-week preoperatively and 1, 3, 6, and 12 months postoperatively); (3) Management: determining the practices’ commitment to the study; and (4) Scientific: calculation of the variances and treatment effect sizes (ES) of differences between procedures. Data from baseline measurements and 6-month follow-up were used for analysis. Results:. Sixty patients were screened, of which 34 (57%) were eligible for surgery. Twenty-one (81%) of the 26 ineligible patients were excluded due to previous or additional planned surgical procedures on the same hand, particularly carpal tunnel release (n = 17). Twenty patients consented; 12 in the T + LRTI and 8 in the PT + TI group. The highest completion rate for the 3 questionnaires and the functional measurements, for both groups was at 6-month time point. Compliance rates for questionnaire completion at 6-months were calculated at 50% and 75% for the T + LRTI and PT + TI group, respectively. Functional measurement completion rate was 50% and 63% for T + LRTI and PT + TI groups, respectively. Treatment ES were group dependent, with Disabilities of the Arm, Shoulder, and Hand, EuroQol-5D-3L usual activities and anxiety/depression showing a large ES in the PT + TI group; the T + LRTI group showed large ES in EQ-5D state of health today. Conclusions:. Authors conclude that a large-scale study is feasible and dependent on: (1) increasing sample size to account for the high attrition rate; (2) liberalizing inclusion criteria to include patients with carpal tunnel syndrome; (3) allotting more time at follow-up visits to ensure completion of all measurements; and (4) increasing staff involvement (ie, develop rapport with patients and maintain stability with research assistants).

Background:. Ketorolac is a potent nonsteroidal anti-inflammatory drug that has valuable analgesic properties but also a hypothetical risk of increased bleeding due to inhibition of platelet activation. The clinical significance of this risk, however, is unclear when it is used after reduction mammaplasty. Our study objective was to therefore examine the association between ketorolac exposure and hematoma occurrence after breast reduction surgery. We hypothesized that there was no association between ketorolac exposure and hematoma occurrence in breast reduction surgery. Methods:. A case-control design was used. Data from charts of all reduction mammaplasties that developed hematomas requiring surgical evacuation (cases) at our university-based hospitals were retrieved and matched to data from charts of reduction mammaplasty patients who did not indicate this complication (controls). Matching occurred in a 1:1 ratio based on 4 criteria: age, body mass index, institution, and preexisting hypertension. Charts were reviewed for retrospective information on exposure to ketorolac. Odds ratio (OR) was calculated with an OR > 1 favoring an association. Results:. From 2002 to 2016, 40 cases of hematoma met inclusion criteria and were matched with 40 controls (N = 80). Cases had a significantly lower body mass index than controls; however, the other baseline patient demographics were similar between the 2 groups. There was an association between hematoma formation and exposure to ketorolac (OR, 2.4; 95% confidence interval, 0.8–7.4; P = 0.114) and a trend for greater risk of hematoma formation, although this was not statistically significant. Conclusions:. Based on this level 3 evidence, there appears to be an association between perioperative ketorolac exposure and hematoma after breast reduction surgery, but it was not statistically significant. Although this study was adequately powered, the OR of 2.4 was associated with a wide confidence interval. A larger sample size may increase the precision of the results and may also make the association definitive.

Background & aims In response to limited research on early language development in infants at high risk for Autism Spectrum Disorder (ASD), the current prospective study examined early expressive and receptive language trajectories in familial high-risk (HR) infants who were and were not later diagnosed with ASD (HR-ASD and HR-N, respectively), and low-risk (LR) controls with no family history of ASD. Methods Participants were 523 children (371 HR siblings, 56% boys; 152 LR controls, 52% boys) followed from age 6 or 12 months to 36 months. Based on independent, best-estimate clinical diagnoses at 36 months, HR participants were classified as HR-ASD (n = 94; 69% boys), or HR-N (n = 277; 52% boys); the sample also included 152 LR controls (52% boys). Expressive and receptive language trajectories were examined based on corresponding domain standard scores on the Mullen Scales of Early Learning ( MSEL ) at 6, 12, 24, and 36 months. In the combined sample of HR and LR infants, semi-parametric group-based modeling was used to identify distinct trajectories in MSEL standard scores. Results A 3-group solution provided optimal fit to variation in both expressive and receptive language, with the following patterns of scores: (1) inclining from average to above average, (2) stable-average, and (3) declining from average to well below average. For both expressive and receptive language, membership in these trajectories was related to 3-year diagnostic outcomes. Conclusions Although HR-ASD, HR-N, and LR control infants were in each trajectory group, membership in the declining trajectory (expressive and/or receptive) was associated with an ASD diagnosis. Implications Evidence of declining trajectories in either expressive or receptive language may be a risk marker for ASD in a high-risk sample.

Introduction Early childhood is a key period to establish policies and practices that optimise children's health and development, but Canada lacks nationally representative data on social indicators of children's well-being. To address this gap, the Early Development Instrument (EDI), a teacher-administered questionnaire completed for kindergarten-age children, has been implemented across most Canadian provinces over the past 10 years. The purpose of this protocol is to describe the Canadian Neighbourhoods and Early Child Development (CanNECD) Study, the aims of which are to create a pan-Canadian EDI database to monitor trends over time in children's developmental health and to advance research examining the social determinants of health.Methods and analysis Canada-wide EDI records from 2004 to 2014 (representing over 700 000 children) will be linked to Canada Census and Income Taxfiler data. Variables of socioeconomic status derived from these databases will be used to predict neighbourhood-level EDI vulnerability rates by conducting a series of regression analyses and latent variable models at provincial/territorial and national levels. Where data are available, we will measure the neighbourhood-level change in developmental vulnerability rates over time and model the socioeconomic factors associated with those trends.Ethics and dissemination Ethics approval for this study was granted by the Behavioural Research Ethics Board at the University of British Columbia. Study findings will be disseminated to key partners, including provincial and federal ministries, schools and school districts, collaborative community groups and the early childhood development research community. The database created as part of this longitudinal population-level monitoring system will allow researchers to associate practices, programmes and policies at school and community levels with trends in developmental health outcomes. The CanNECD Study will guide future early childhood development action and policies, using the database as a tool for formative programme and policy evaluation.