scholarly journals Trends in the prevalence of congenital hydrocephalus in 14 cities in Liaoning province, China from 2006 to 2015 in a population-based birth defect registry from the Liaoning Women and Children’s Health Hospital

Oncotarget ◽  
2018 ◽  
Vol 9 (18) ◽  
pp. 14472-14480 ◽  
Author(s):  
Yan-Hong Huang ◽  
Qi-Jun Wu ◽  
Yan-Ling Chen ◽  
Cheng-Zhi Jiang ◽  
Ting-Ting Gong ◽  
...  
Keyword(s):  
Birth Defect ◽  
Population Based ◽  
Children's Health ◽  
Liaoning Province ◽  
Congenital Hydrocephalus ◽  
Children’S Health ◽  
Birth Defect Registry ◽  
Health Hospital

scholarly journals Children's health and parental socioeconomic factors: a population-based survey in Finland

2011 ◽  
Vol 11 (1) ◽  
Author(s):  
Sanna M Siponen ◽  
Riitta S Ahonen ◽  
Piia H Savolainen ◽  
Katri P Hämeen-Anttila
Keyword(s):  
Socioeconomic Factors ◽  
Population Based ◽  
Children's Health ◽  
Children’S Health ◽  
Population Based Survey

Socioeconomic inequalities in children under 15 with medical complexity: A population-based study

2019 ◽  
Author(s):  
Neus Carrilero ◽  
Dolores Ruiz-Muñoz ◽  
Albert Dalmau-Bueno ◽  
Cristina Colls ◽  
Anna García-Altés
Keyword(s):  
Health Inequalities ◽  
Socioeconomic Position ◽  
Age Distribution ◽  
Population Based ◽  
Cross Sectional Study ◽  
Children's Health ◽  
Children’S Health ◽  
Cross Sectional ◽  
Neurodevelopmental Disease ◽  
And Cluster Analysis

Abstract Background Health inequalities from the first stages of life onwards have consequences for children’s health status and for their future development. Children’s health is profoundly affected by the socioeconomic position (SEP) of their parents. The situation is even more disruptive in children with medically complex (CMC) conditions. The aim of this study is to describe the characteristics and related pathologies of CMC in Catalonia, and to assess the presence of socioeconomic inequalities.Methods Cross-sectional study and cluster analysis of the diseases in the CMC population under the age of 15 in Catalonia in 2016 using administrative data. Each pathology cluster obtained was described and its association with socioeconomic position (SEP) determined. The Adjusted Morbidity Groups (Catalan acronym GMA) classification system was used to identify the CMC. Main outcome measures: SEP, GMA score, sex, and age distribution were recorded in both populations (CMC and non-CMC) and in each of the clusters identified.Results 71% of the CMC population have at least one parent with no employment or an annual income of less than €18,000. Four comorbidity clusters were identified in CMC: respiratory (47%), neurodevelopmental (18%), hemato-oncological (12%), and perinatal disorders (23%). CMC experience higher levels of poverty and social disadvantage in all clusters. SES-cluster association results were: in the respiratory OR, 2.1 in boys and 2.1 in girls; in the neurodevelopmental disease, OR 2.0 in boys and 1.8 in girls; in the hemato-oncology OR, 1.7 in boys and 1.8 in girls; and in the perinatal OR, 1.7 in boys and 1.8 in girls.Conclusions There are socioeconomic health inequalities in childhood across a broad spectrum of health outcomes. Children with lower SEP are more likely to have CMC conditions. All clusters showed SEP inequalities and respiratory and neurodevelopment clusters are the most prevalent.

scholarly journals The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research: Generation 2 questionnaire data capture May-July 2020

2021 ◽  
Vol 5 ◽  
pp. 278
Author(s):  
Daniel Smith ◽  
Kate Northstone ◽  
Claire Bowring ◽  
Nicholas Wells ◽  
Michael Crawford ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
School Attendance ◽  
Population Based ◽  
Children's Health ◽  
Children’S Health ◽  
Questionnaire Data ◽  
Contact Patterns ◽  
Parents And Children ◽  
The Impact ◽  
Avon Longitudinal Study

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992 from the Bristol area (UK). ALSPAC has followed these women, their partners (Generation 0; G0) and their offspring (Generation 1; G1) ever since. From 2012, ALSPAC has identified G1 participants who were pregnant (or their partner was) or had become parents, and enrolled them, their partners, and children in the ALSPAC-Generation 2 (ALSPAC-G2) study, providing a unique multi-generational cohort. At present, approximately 1,100 G2 children (excluding those in utero) from 810 G1 participants have been enrolled. In response to the COVID-19 pandemic, ALSPAC rapidly deployed two online questionnaires; one during the initial lockdown phase in 2020 (9th April-15th May), and another when national lockdown restrictions were eased (26th May-5th July). As part of this second questionnaire, G1 parents completed a questionnaire about each of their G2 children. This covered: parental reports of children’s feelings and behaviour since lockdown, school attendance, contact patterns, and health. A total of 289 G1 participants completed this questionnaire on behalf of 411 G2 children. This COVID-19 G2 questionnaire data can be combined with pre-pandemic ALSPAC-G2 data, plus ALSPAC-G1 and -G0 data, to understand how children’s health and behaviour has been affected by the pandemic and its management. Data from this questionnaire will be complemented with linkage to health records and results of biological testing as they become available. Prospective studies are necessary to understand the impact of this pandemic on children’s health and development, yet few relevant studies exist; this resource will aid these efforts. Data has been released as: 1) a freely-available dataset containing participant responses with key sociodemographic variables; and 2) an ALSPAC-held dataset which can be combined with existing ALSPAC data, enabling bespoke research across all areas supported by the study.

scholarly journals Looking beyond the numbers: quality assurance procedures in the Global Network for Women’s and Children’s Health Research Maternal Newborn Health Registry

2020 ◽  
Vol 17 (S2) ◽  
Author(s):  
Ana Garces ◽  
Emily MacGuire ◽  
Holly L. Franklin ◽  
Norma Alfaro ◽  
Gustavo Arroyo ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Data Collection ◽  
Newborn Health ◽  
Regulatory Compliance ◽  
Population Based ◽  
Children's Health ◽  
Global Network ◽  
Children’S Health ◽  
Quality Data ◽  
Study Results

Abstract Background Quality assurance (QA) is a process that should be an integral part of research to protect the rights and safety of study participants and to reduce the likelihood that the results are affected by bias in data collection. Most QA plans include processes related to study preparation and regulatory compliance, data collection, data analysis and publication of study results. However, little detailed information is available on the specific procedures associated with QA processes to ensure high-quality data in multi-site studies. Methods The Global Network for Women’s and Children’s Health Maternal Newborn Health Registy (MNHR) is a prospective population-based registry of pregnancies and deliveries that is carried out in 8 international sites. Since its inception, QA procedures have been utilized to ensure the quality of the data. More recently, a training and certification process was developed to ensure that standardized, scientifically accurate clinical definitions are used consistently across sites. Staff complete a web-based training module that reviews the MNHR study protocol, study forms and clinical definitions developed by MNHR investigators and are certified through a multiple choice examination prior to initiating study activities and every six months thereafter. A standardized procedure for supervision and evaluation of field staff is carried out to ensure that research activites are conducted according to the protocol across all the MNHR sites. Conclusions We developed standardized QA processes for training, certification and supervision of the MNHR, a multisite research registry. It is expected that these activities, together with ongoing QA processes, will help to further optimize data quality for this protocol.

scholarly journals The Avon Longitudinal Study of Parents and Children - A resource for COVID-19 research: Generation 2 questionnaire data capture May-July 2020

2020 ◽  
Vol 5 ◽  
pp. 278
Author(s):  
Daniel Smith ◽  
Kate Northstone ◽  
Claire Bowring ◽  
Nicholas Wells ◽  
Michael Crawford ◽  
...  
Keyword(s):  
Longitudinal Study ◽  
School Attendance ◽  
Population Based ◽  
Children's Health ◽  
Children’S Health ◽  
Questionnaire Data ◽  
Contact Patterns ◽  
Parents And Children ◽  
The Impact ◽  
Avon Longitudinal Study

The Avon Longitudinal Study of Parents and Children (ALSPAC) is a prospective population-based cohort study which recruited pregnant women in 1990-1992 from the Bristol area (UK). ALSPAC has followed these women, their partners (Generation 0; G0) and their offspring (Generation 1; G1) ever since. From 2012, ALSPAC has identified G1 participants who were pregnant (or their partner was) or had become parents, and enrolled them, their partners, and children in the ALSPAC-Generation 2 (ALSPAC-G2) study, providing a unique multi-generational cohort. At present, approximately 1,100 G2 children (excluding those in utero) from 810 G1 participants have been enrolled. In response to the COVID-19 pandemic, ALSPAC rapidly deployed two online questionnaires; one during the initial lockdown phase in 2020 (9th April-15th May), and another when national lockdown restrictions were eased (26th May-5th July). As part of this second questionnaire, G1 parents completed a questionnaire about each of their G2 children. This covered: parental reports of children’s feelings and behaviour since lockdown, school attendance, contact patterns, and health. A total of 289 G1 participants completed this questionnaire on behalf of 411 G2 children. This COVID-19 G2 questionnaire data can be combined with pre-pandemic ALSPAC-G2 data, plus ALSPAC-G1 and -G0 data, to understand how children’s health and behaviour has been affected by the pandemic and its management. Data from this questionnaire will be complemented with linkage to health records and results of biological testing as they become available. Prospective studies are necessary to understand the impact of this pandemic on children’s health and development, yet few relevant studies exist; this resource will aid these efforts. Data has been released as: 1) a freely-available dataset containing participant responses with key sociodemographic variables; and 2) an ALSPAC-held dataset which can be combined with existing ALSPAC data, enabling bespoke research across all areas supported by the study.

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