1
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Goh M, Joy C, Gillespie AN, Soh QR, He F, Sung V. Asymptomatic viruses detectable in saliva in the first year of life: a narrative review. Pediatr Res 2024; 95:508-531. [PMID: 38135726 DOI: 10.1038/s41390-023-02952-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 11/15/2023] [Accepted: 11/20/2023] [Indexed: 12/24/2023]
Abstract
Viral infections are common in children. Many can be asymptomatic or have delayed health consequences. In view of increasing availability of point-of-care viral detection technologies, with possible application in newborn screening, this review aimed to (1) identify potentially asymptomatic viruses detectable in infants under one year old, via saliva/nasopharyngeal swab, and (2) describe associations between viruses and long-term health conditions. We systematically searched Embase(Ovid), Medline(Ovid) and PubMed, then further searched the literature in a tiered approach. From the 143 articles included, 28 potentially asymptomatic viruses were identified. Our second search revealed associations with a range of delayed health conditions, with most related to the severity of initial symptoms. Many respiratory viruses were linked with development of recurrent wheeze or asthma. Of note, some potentially asymptomatic viruses are linked with later non-communicable diseases: adenovirus serotype 36 and obesity, Enterovirus-A71 associated Hand, Foot, Mouth Disease and Attention-Deficit Hyperactivity Disorder, Ebstein Barr Virus (EBV) and malignancy, EBV and multiple sclerosis, HHV-6 and epilepsy, HBoV-1 and lung fibrosis and Norovirus and functional gastrointestinal disorders. Our review identified many potentially asymptomatic viruses, detectable in early life with potential delayed health consequences, that could be important to screen for in the future using rapid point-of-care viral detection methods. IMPACT: Novel point-of-care viral detection technologies enable rapid detection of viruses, both old and emerging. In view of increasing capability to screen for viruses, this is the first review to explore which potentially asymptomatic viruses, that are detectable using saliva and/or nasopharyngeal swabs in infants less than one year of age, are associated with delayed adverse health conditions. Further research into detecting such viruses in early life and their delayed health outcomes may pave new ways to prevent non-communicable diseases in the future.
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Affiliation(s)
- Melody Goh
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, VIC, Australia
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Charissa Joy
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Monash Children's Hospital Clayton, Clayton, VIC, Australia
| | - Alanna N Gillespie
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC, Australia
| | - Qi Rui Soh
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia
- The University of Melbourne, Faculty of Medicine Dentistry and Health Sciences Melbourne, Melbourne, VIC, Australia
| | - Fan He
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia
- John Richards Centre for Rural Ageing Research, La Trobe University, Wodonga, VIC, Australia
| | - Valerie Sung
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC, Australia.
- Monash Children's Hospital Clayton, Clayton, VIC, Australia.
- Department of Paediatrics, The University of Melbourne, Parkville, VIC, Australia.
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2
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Kerr JA, Gillespie AN, O'Connor M, Deane C, Borschmann R, Dashti SG, Spry EA, Heerde JA, Möller H, Ivers R, Boden JM, Scott JG, Bucks RS, Glauert R, Kinner SA, Olsson CA, Patton GC. Intervention targets for reducing mortality between mid-adolescence and mid-adulthood: a protocol for a machine-learning facilitated systematic umbrella review. BMJ Open 2023; 13:e068733. [PMID: 37890970 PMCID: PMC10619087 DOI: 10.1136/bmjopen-2022-068733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Accepted: 09/28/2023] [Indexed: 10/29/2023] Open
Abstract
INTRODUCTION A rise in premature mortality-defined here as death during the most productive years of life, between adolescence and middle adulthood (15-60 years)-is contributing to stalling life expectancy in high-income countries. Causes of mortality vary, but often include substance misuse, suicide, unintentional injury and non-communicable disease. The development of evidence-informed policy frameworks to guide new approaches to prevention require knowledge of early targets for intervention, and interactions between higher level drivers. Here, we aim to: (1) identify systematic reviews with or without meta-analyses focused on intervention targets for premature mortality (in which intervention targets are causes of mortality that can, at least hypothetically, be modified to reduce risk); (2) evaluate the review quality and risk of bias; (3) compare and evaluate each review's, and their relevant primary studies, findings to identify existing evidence gaps. METHODS AND ANALYSIS In May 2023, we searched electronic databases (MEDLINE, PubMed, Embase, Cochrane Library) for peer-reviewed papers published in the English language in the 12 years from 2012 to 2023 that examined intervention targets for mortality. Screening will narrow these papers to focus on systematic reviews with or without meta-analyses, and their primary papers. Our outcome is death between ages 15 and 60 years; with potential intervention targets measured prior to death. A MeaSurement Tool to Assess systematic Reviews (AMSTAR 2) will be used to assess quality and risk of bias within included systematic reviews. Results will be synthesised narratively due to anticipated heterogeneity between reviews and between primary studies contained within included reviews. ETHICS AND DISSEMINATION This review will synthesise findings from published systematic reviews and meta-analyses, and their primary reviewed studies, meaning ethics committee approval is not required. Our findings will inform cross-cohort consortium development, be published in a peer-reviewed journal, and be presented at national and international conferences. PROSPERO REGISTRATION NUMBER CRD42022355861.
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Affiliation(s)
- Jessica A Kerr
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Alanna N Gillespie
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Centre for Community Child Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Meredith O'Connor
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Centre for Community Child Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Melbourne Graduate School of Education, The University of Melbourne, Parkville, Victoria, Australia
| | - Camille Deane
- Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Rohan Borschmann
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Centre for Health Equity, Justice Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- Department of Psychiatry, Warneford Hospital, University of Oxford, Oxford, UK
- Melbourne School of Psychological Sciences, The University of Melbourne, Parkville, Victoria, Australia
| | - S Ghazaleh Dashti
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Clinical Epidemiology and Biostatistics Unit, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Elizabeth A Spry
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - Jessica A Heerde
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Department of Social Work, The University of Melbourne, Parkville, Victoria, Australia
| | - Holger Möller
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Rebecca Ivers
- School of Population Health, University of New South Wales, Sydney, New South Wales, Australia
| | - Joseph M Boden
- Department of Psychological Medicine, University of Otago, Christchurch, New Zealand
| | - James G Scott
- Child Health Research Centre, The University of Queensland, South Brisbane, Queensland, Australia
- Child and Youth Mental Health Service, Children's Health Queensland, South Brisbane, Queensland, Australia
| | - Romola S Bucks
- School of Psychological Science, The University of Western Australia, Perth, Western Australia, Australia
- The Raine Study, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Rebecca Glauert
- The Raine Study, School of Population and Global Health, The University of Western Australia, Perth, Western Australia, Australia
| | - Stuart A Kinner
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Centre for Health Equity, Justice Health Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
- School of Population Health, Curtin University, Perth, Western Australia, Australia
- Griffith Criminology Institute, Griffith University, Brisbane, Queensland, Australia
| | - Craig A Olsson
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Centre for Social and Early Emotional Development, School of Psychology, Faculty of Health, Deakin University, Burwood, Victoria, Australia
| | - George C Patton
- Centre for Adolescent Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
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3
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Gillespie AN, Smith L, Shepherd DA, Xu J, Khanal R, Sung V. Socio-Emotional Experiences and Wellbeing of Deaf and Hard of Hearing Children and Their Parents before and during the COVID-19 Pandemic. Children (Basel) 2023; 10:1147. [PMID: 37508651 PMCID: PMC10378092 DOI: 10.3390/children10071147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/25/2023] [Accepted: 06/26/2023] [Indexed: 07/30/2023]
Abstract
Deaf and hard of hearing (DHH) children in Victoria, Australia, were exposed to strict public health restrictions, including sustained lockdowns, during the COVID-19 pandemic. DHH children have higher health and socio-emotional needs than their hearing peers. We aimed to (1) describe the socio-emotional experiences of DHH children and their parents and (2) compare child and parent socio-emotional wellbeing, before and during the COVID-19 pandemic. Between May and September 2020, 497 (62%) parents of DHH children from the Victorian Childhood Hearing Longitudinal Databank completed an online survey. Measures were drawn from the CoRonavIruS Health Impact Survey (CRISIS) v3.0. Data were summarized using descriptive statistics to compare outcomes before and during the pandemic. Parents reported their children to have more negative socio-emotional wellbeing (mean emotions/worries score, EWS, changed from 0.76 pre-pandemic to 1.10 during the pandemic, mean difference 0.34, 95% CI: 0.28 to 0.39), regardless of the type or severity of hearing loss. Parents also had more negative socio-emotional wellbeing (mean EWS changed from 1.05 pre-pandemic to 1.43 during the pandemic, mean difference 0.38, 95% CI: 0.31 to 0.44). Negative socio-emotional experiences co-occurred with large social changes during the pandemic. Additional services should support the socio-emotional wellbeing of DHH children during significant adverse childhood experiences.
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Affiliation(s)
- Alanna N Gillespie
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC 3052, Australia
| | - Libby Smith
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC 3052, Australia
| | - Daisy A Shepherd
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3010, Australia
- Clinical Epidemiology and Biostatistics, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
| | - Jessica Xu
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC 3052, Australia
| | - Rija Khanal
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC 3052, Australia
| | - Valerie Sung
- Prevention Innovation, Murdoch Children's Research Institute, Parkville, VIC 3052, Australia
- Centre for Community Child Health, The Royal Children's Hospital, Parkville, VIC 3052, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, VIC 3010, Australia
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4
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Gillespie AN, Dalziel K, Webb E, Wong J, Jones CA, Sung V. Targeted screening for congenital cytomegalovirus: A micro-costing analysis. J Paediatr Child Health 2023; 59:64-71. [PMID: 36250562 PMCID: PMC10946837 DOI: 10.1111/jpc.16239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 09/21/2022] [Accepted: 09/21/2022] [Indexed: 01/14/2023]
Abstract
AIM We aimed to determine the cost and potential cost-savings of delivering a targeted congenital cytomegalovirus (cCMV) screening programme through a universal newborn hearing screening (UNHS) programme to detect cCMV-related hearing loss in infants from Victoria, Australia. METHODS We completed a micro-costing analysis from a health-care perspective using data from a targeted cCMV screening programme piloted between June 2019 and March 2020. The programme involved collection of saliva samples to test for cCMV in infants who: received a 'refer' result on their second newborn hearing screen; were aged 21 days or less; and born at one of four maternity hospitals in Victoria, Australia. All costs to complete targeted cCMV screening were recorded in Australian 2020 dollars. Potential costs and benefits of adding targeted cCMV screening to the pre-existing UNHS programme were compared to when no screening was available up to 18 years to determine the likely cost or cost savings. RESULTS The cost of adding targeted cCMV screening to Victoria's UNHS is $202 per infant screened. The total cost per positive case identified is $21 456. The overall cost of adding targeted salivary cCMV screening at the point of a second 'refer' result on the UNHS programme in Victoria's four largest hospitals is estimated to be $28 966 for the first year. CONCLUSION Targeted screening for cCMV provides families the opportunity to detect and, if appropriate, treat cCMV in the first month of life in line with current recommendations. It falls within the range between cost neutral and cost saving.
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Affiliation(s)
- Alanna N Gillespie
- Prevention Innovation, Murdoch Children's Research InstituteThe Royal Children's HospitalMelbourneVictoriaAustralia
- Centre for Community Child HealthThe Royal Children's HospitalMelbourneVictoriaAustralia
| | - Kim Dalziel
- Centre for Health PolicyThe University of MelbourneMelbourneVictoriaAustralia
| | - Emma Webb
- Prevention Innovation, Murdoch Children's Research InstituteThe Royal Children's HospitalMelbourneVictoriaAustralia
- Centre for Community Child HealthThe Royal Children's HospitalMelbourneVictoriaAustralia
- Department of PaediatricsThe University of MelbourneMelbourneVictoriaAustralia
| | - Janis Wong
- Faculty of MedicineThe University of MelbourneMelbourneVictoriaAustralia
| | - Cheryl A Jones
- Prevention Innovation, Murdoch Children's Research InstituteThe Royal Children's HospitalMelbourneVictoriaAustralia
- Centre for Community Child HealthThe Royal Children's HospitalMelbourneVictoriaAustralia
- Faculty of Medicine and HealthThe University of SydneySydneyNew South WalesAustralia
| | - Valerie Sung
- Prevention Innovation, Murdoch Children's Research InstituteThe Royal Children's HospitalMelbourneVictoriaAustralia
- Centre for Community Child HealthThe Royal Children's HospitalMelbourneVictoriaAustralia
- Department of PaediatricsThe University of MelbourneMelbourneVictoriaAustralia
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5
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Webb E, Gillespie AN, Poulakis Z, Gartland T, Buttery J, Casalaz D, Daley AJ, Donath S, Gwee A, Jacobs SE, Phuong LK, Pszczola R, Purcell R, Saunders K, Kadambari S, Jones CA, Sung V. Feasibility and acceptability of targeted salivary cytomegalovirus screening through universal newborn hearing screening. J Paediatr Child Health 2022; 58:288-294. [PMID: 34520069 DOI: 10.1111/jpc.15705] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/08/2021] [Accepted: 08/10/2021] [Indexed: 11/30/2022]
Abstract
AIM This study aimed to determine the feasibility and parental acceptability of screening for congenital cytomegalovirus (cCMV) through saliva polymerase chain reaction in infants who did not pass their newborn hearing screening. Additionally, the utility (i.e. time to diagnosis and treatment) of this enhanced clinical pathway was evaluated. METHODS The study was conducted through the Victorian Infant Hearing Screening Programme (VIHSP) across four maternity hospitals in Melbourne, Australia, during June 2019-March 2020. Parents were approached by VIHSP staff about obtaining a test for cytomegalovirus (CMV) at the time of their baby's second positive ('refer') result on the VIHSP screen. Participating parents collected a saliva swab for CMV polymerase chain reaction from their infants. Feasibility was determined by the proportion of 'referred' infants whose parents completed the salivary CMV screening test ≤21 days of life. Acceptability was measured through parent survey. RESULTS Of 126 eligible families, 96 (76.0%) had salivary screening swabs taken ≤21 days of life. Most families (>92.0%) indicated that screening was acceptable, straightforward and thought testing their baby for cCMV was a good idea. One infant screened positive on day 30, was diagnosed with cCMV via confirmatory testing by day 31 and commenced valganciclovir on day 32. CONCLUSIONS Obtaining a saliva sample to screen for cCMV in infants who do not pass their newborn hearing screen is feasible and appears acceptable to parents. This targeted cCMV screening method could be an option where mothers are rapidly discharged from hospital, especially in the context of the COVID-19 pandemic.
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Affiliation(s)
- Emma Webb
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Prevention Innovation, Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Alanna N Gillespie
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Prevention Innovation, Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Zeffie Poulakis
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Prevention Innovation, Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Centre for Community Child Health, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Tim Gartland
- Prevention Innovation, Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Dermatology Department, Western Health, Sunshine, Victoria, Australia.,Dermatology Department, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Jim Buttery
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Monash Centre for Health Research and Implementation, Monash University, Clayton, Victoria, Australia.,Health Informatics, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Infectious Diseases Unit, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Dan Casalaz
- Neonatal Paediatrics Unit, Mercy Hospital for Women, Heidelberg, Victoria, Australia
| | - Andrew J Daley
- Department of Microbiology, The Royal Children's Hospital, Parkville, Victoria, Australia.,Department of Microbiology and Infectious Diseases, The Royal Women's Hospital, Parkville, Victoria, Australia
| | - Susan Donath
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Clinical Epidemiology and Biostatistics, Murdoch Children's Research Institute, Parkville, Victoria, Australia
| | - Amanda Gwee
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Infection and Immunity, Infectious Diseases, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Infectious Diseases Unit, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Susan E Jacobs
- Department of Obstetrics and Gynaecology, The University of Melbourne, Parkville, Victoria, Australia.,Clinical Sciences, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Neonatal Services, The Royal Women's Hospital, Parkville, Victoria, Australia
| | - Linny K Phuong
- Infection and Immunity, Infectious Diseases, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Department of General Medicine, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Rosalynn Pszczola
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Department of Neonatology, Western Health, Sunshine, Victoria, Australia
| | - Rachael Purcell
- Department of Infection and Immunity, Monash Children's Hospital, Clayton, Victoria, Australia.,Infectious Diseases Unit, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Kerryn Saunders
- Department of Paediatrics, Monash University, Clayton, Victoria, Australia.,Paediatric Hearing Services, Monash Children's Hospital, Clayton, Victoria, Australia
| | - Seilesh Kadambari
- Oxford Vaccine Group, Department of Paediatrics, University of Oxford and the NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.,Infectious Diseases Unit, The Royal Children's Hospital, Parkville, Victoria, Australia
| | - Cheryl A Jones
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Infection and Immunity, Infectious Diseases, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Centre for Perinatal Infection Research, Sydney Children's Hospital Network (Westmead), Sydney, New South Wales, Australia
| | - Valerie Sung
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Prevention Innovation, Population Health, Murdoch Children's Research Institute, Parkville, Victoria, Australia.,Centre for Community Child Health, The Royal Children's Hospital, Parkville, Victoria, Australia
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6
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Kerr JA, Liu RS, Gasser CE, Mensah FK, Burgner D, Lycett K, Gillespie AN, Juonala M, Clifford SA, Olds T, Saffery R, Gold L, Liu M, Azzopardi P, Edwards B, Dwyer T, Wake M. Diet quality trajectories and cardiovascular phenotypes/metabolic syndrome risk by 11-12 years. Int J Obes (Lond) 2021; 45:1392-1403. [PMID: 33824404 DOI: 10.1038/s41366-021-00800-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 02/03/2021] [Accepted: 03/04/2021] [Indexed: 02/01/2023]
Abstract
OBJECTIVE To investigate associations between early-life diet trajectories and preclinical cardiovascular phenotypes and metabolic risk by age 12 years. METHODS Participants were 1861 children (51% male) from the Longitudinal Study of Australian Children. At five biennial waves from 2-3 to 10-11 years: Every 2 years from 2006 to 2014, diet quality scores were collected from brief 24-h parent/self-reported dietary recalls and then classified using group-based trajectory modeling as 'never healthy' (7%), 'becoming less healthy' (17%), 'moderately healthy' (21%), and 'always healthy' (56%). At 11-12 years: During children's physical health Child Health CheckPoint (2015-2016), we measured cardiovascular functional (resting heart rate, blood pressure, pulse wave velocity, carotid elasticity/distensibility) and structural (carotid intima-media thickness, retinal microvasculature) phenotypes, and metabolic risk score (composite of body mass index z-score, systolic blood pressure, high-density lipoproteins cholesterol, triglycerides, and glucose). Associations were estimated using linear regression models (n = 1100-1800) adjusted for age, sex, and socioeconomic position. RESULTS Compared to 'always healthy', the 'never healthy' trajectory had higher resting heart rate (2.6 bpm, 95% CI 0.4, 4.7) and metabolic risk score (0.23, 95% CI 0.01, 0.45), and lower arterial elasticity (-0.3% per 10 mmHg, 95% CI -0.6, -0.1) and distensibility (-1.2%, 95% CI -1.9, -0.5) (all effect sizes 0.3-0.4). Heart rate, distensibility, and diastolic blood pressure were progressively poorer for less healthy diet trajectories (linear trends p ≤ 0.02). Effects for systolic blood pressure, pulse wave velocity, and structural phenotypes were less evident. CONCLUSIONS Children following the least healthy diet trajectory had poorer functional cardiovascular phenotypes and metabolic syndrome risk, including higher resting heart rate, one of the strongest precursors of all-cause mortality. Structural phenotypes were not associated with diet trajectories, suggesting the window to prevent permanent changes remains open to at least late childhood.
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Affiliation(s)
- Jessica A Kerr
- Murdoch Children's Research Institute, Parkville, VIC, Australia. .,The University of Melbourne, Parkville, VIC, Australia.
| | - Richard S Liu
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - Constantine E Gasser
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia.,Australian Institute of Family Studies, Southbank, VIC, Australia
| | - Fiona K Mensah
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - David Burgner
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia.,Monash University, Clayton, VIC, Australia
| | - Kate Lycett
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia.,Deakin University, Burwood, VIC, Australia
| | - Alanna N Gillespie
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - Markus Juonala
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,Department of Internal Medicine, University of Turku, Turku, Finland.,Division of Medicine, Turku University Hospital, Turku, Finland
| | - Susan A Clifford
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - Tim Olds
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, Australia
| | - Richard Saffery
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - Lisa Gold
- Murdoch Children's Research Institute, Parkville, VIC, Australia
| | - Mengjiao Liu
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
| | - Peter Azzopardi
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia.,Maternal and Child Health Program, International Development Discipline, Burnet Institute, Melbourne, Australia
| | - Ben Edwards
- Australian National University Centre for Social Research and Methods, Canberra, ACT, Australia
| | - Terence Dwyer
- The George Institute for Global Health, University of Oxford, Oxford, UK
| | - Melissa Wake
- Murdoch Children's Research Institute, Parkville, VIC, Australia.,The University of Melbourne, Parkville, VIC, Australia
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7
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Shearer NJ, Gillespie AN, Olds TS, Mensah FK, Edwards B, Fernando JW, Wang Y, Wake M, Lycett K. Insights into adolescent well-being from computerised analysis of written language. Acta Paediatr 2021; 110:1880-1889. [PMID: 33608941 DOI: 10.1111/apa.15813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Revised: 01/12/2021] [Accepted: 02/18/2021] [Indexed: 11/28/2022]
Abstract
AIM To examine associations between patterns of language use and early adolescent well-being. METHODS Participants were 1763 Australian 11- to 12-year-olds in the Child Health CheckPoint. Six patterns of language use were identified from a writing activity using Linguistic Inquiry and Word Count and factor analysis: Acting in the present and future, Positive emotion, Gender and relationships, Self-aware, Inquisitive and time focused, and Confident. Well-being measures represented a spectrum from negatively to positively framed psychosocial health. Associations between language use and well-being were estimated using linear regression adjusted for age, sex and social disadvantage. RESULTS Positive emotion (high emotional tone, positive emotion) was associated with better general well-being (standardised regression coefficient (SRC) 0.05; 95% confidence interval 0.00 to 0.11; p = 0.04), life satisfaction (0.06; 0.01 to 0.11; p = 0.03), psychosocial health (0.07; 0.02 to 0.12; p = 0.01) and quality of life (QoL) (0.06; 0.01 to 0.11; p = 0.02). Similarly, Self-aware (high first person singular pronouns, authentic, low clout) was associated with better general well-being, life satisfaction and psychosocial health (SRC 0.05, 0.09, 0.08), but Confident (high clout, first person plural pronouns, affiliation) was associated with worse life satisfaction, psychosocial health and QoL (SRC -0.06, -0.09, -0.06). CONCLUSION If replicated in 'real-world' settings (e.g., social media), language patterns could provide naturalistic insights into early adolescents' well-being.
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Affiliation(s)
- Natalie J. Shearer
- Royal Children's Hospital Melbourne Victoria Australia
- Deakin University Melbourne Victoria Australia
- Murdoch Children's Research Institute Melbourne Victoria Australia
| | - Alanna N. Gillespie
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Department of Paediatrics The University of Melbourne Melbourne Victoria Australia
| | - Tim S. Olds
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Alliance for Research in Exercise, Nutrition and Activity University of South Australia Adelaide South Australia Australia
| | - Fiona K. Mensah
- Royal Children's Hospital Melbourne Victoria Australia
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Department of Paediatrics The University of Melbourne Melbourne Victoria Australia
| | - Ben Edwards
- Centre for Social Research and Methods The Australian National University Canberra Australian Capital Territory Australia
| | | | - Yichao Wang
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Department of Paediatrics The University of Melbourne Melbourne Victoria Australia
| | - Melissa Wake
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Department of Paediatrics The University of Melbourne Melbourne Victoria Australia
- The Liggins Institute The University of Auckland Auckland New Zealand
| | - Kate Lycett
- Deakin University Melbourne Victoria Australia
- Murdoch Children's Research Institute Melbourne Victoria Australia
- Department of Paediatrics The University of Melbourne Melbourne Victoria Australia
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8
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Derks IPM, Gillespie AN, Kerr JA, Wake M, Jansen PW. Associations of Infant Sleep Duration with Body Composition and Cardiovascular Health to Mid-Adolescence: The PEAS Kids Growth Study. Child Obes 2019; 15:379-386. [PMID: 31219339 DOI: 10.1089/chi.2018.0310] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background: Short sleep duration in childhood has often been linked with obesity in later childhood or adolescence. However, whether infant sleep duration affects body composition trajectories and cardiovascular health through to mid-adolescence remains unknown. Methods: Participants were 336 adolescents from a community-based prospective birth cohort in Melbourne, Australia. Mothers completed 24-hour time diaries, including infant sleep in 5-minute intervals at ages 2, 4, and 12 months. BMI and body composition outcomes were measured 6-monthly between 4 and 6.5 years and at 10 and 14 years. Cardiovascular outcomes at 14 years comprised blood pressure, pulse wave velocity, retinal arteriole-to-venule ratio, and carotid intima-media thickness. We used multivariable linear regression and multinomial logistic regression analyses adjusted for sex, age, BMI at birth, gestational age, ethnicity, maternal education, maternal BMI, and neighborhood socioeconomic position. Results: At 2 months, infants slept on average 14.1 hours [standard deviation (SD) 1.9], decreasing to 13.4 hours (SD 2.0) by 12 months. We observed no associations between the different sleep duration time points in infancy and later BMI or body composition. Moreover, a shorter sleep duration did not increase the odds of being on a high body composition trajectory compared with longer sleep (e.g., odds ratio per hour of sleep at 4 months is 0.85, 95% confidence interval 0.65-1.11). Infant sleep duration was also not associated with cardiovascular function or large or small artery structure at 14 years of age. Conclusions: We found no evidence that sleep duration very early in life affects adolescent body composition or cardiovascular health.
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Affiliation(s)
- Ivonne P M Derks
- 1Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,2The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Alanna N Gillespie
- 3Centre for Community Child Health, Murdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Australia.,4Department of Pediatrics, The University of Melbourne, Parkville, Australia
| | - Jessica A Kerr
- 3Centre for Community Child Health, Murdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Australia.,4Department of Pediatrics, The University of Melbourne, Parkville, Australia
| | - Melissa Wake
- 3Centre for Community Child Health, Murdoch Childrens Research Institute, The Royal Children's Hospital, Parkville, Australia.,4Department of Pediatrics, The University of Melbourne, Parkville, Australia.,5Department of Pediatrics and the Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Pauline W Jansen
- 1Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,6Department of Psychology, Education, and Child Studies, Erasmus University Rotterdam, Rotterdam, the Netherlands
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9
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Abstract
OBJECTIVES Overweight and obesity remain at historically high levels, cluster within families and are established risk factors for multiple diseases. We describe the epidemiology and cross-generational concordance of body composition among Australian children aged 11-12 years and their parents. DESIGN The population-based cross-sectional Child Health CheckPoint study, nested within the Longitudinal Study of Australian Children (LSAC). SETTING Assessment centres in seven major Australian cities and eight regional cities, or home visits; February 2015-March 2016. PARTICIPANTS Of all participating CheckPoint families (n=1874), body composition data were available for 1872 children (49% girls) and 1852 parents (mean age 43.7 years; 88% mothers), including 1830 biological parent-child pairs. MEASURES Height, weight, body mass index (BMI), waist circumference and waist-to-height ratio for all participants; body fat and fat-free mass by four-limb bioimpedence analysis (BIA) at assessment centres, or body fat percentage by two-limb BIA at home visits. Analysis: parent-child concordance was assessed using (i) Pearson's correlation coefficients, and (ii) partial correlation coefficients adjusted for age, sex and socioeconomic disadvantage. Survey weights and methods accounted for LSAC's complex sample design. RESULTS 20.7% of children were overweight and 6.2% obese, as were 33.5% and 31.6% of parents. Boys and girls showed similar distributions for all body composition measures but, despite similar BMI and waist-to-height ratio, mothers had higher proportions of total and truncal fat than fathers. Parent-child partial correlations were greatest for height (0.37, 95% CI 0.33 to 0.42). Other anthropometric and fat/lean measures showed strikingly similar partial correlations, ranging from 0.25 (95% CI 0.20 to 0.29) for waist circumference to 0.30 (95% CI 0.25 to 0.34) for fat-free percentage. Whole-sample and sex-specific percentile values are provided for all measures. CONCLUSIONS Excess adiposity remains prevalent in Australian children and parents. Moderate cross-generational concordance across all measures of leanness and adiposity is already evident by late childhood.
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Affiliation(s)
- Susan A Clifford
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Alanna N Gillespie
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Timothy Olds
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
| | - Anneke C Grobler
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
| | - Melissa Wake
- Murdoch Children’s Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
- Department of Paediatrics and The Liggins Institute, The University of Auckland, Auckland, New Zealand
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10
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Kerr JA, Long C, Clifford SA, Muller J, Gillespie AN, Donath S, Wake M. Early-life exposures predicting onset and resolution of childhood overweight or obesity. Arch Dis Child 2017; 102:915-922. [PMID: 28235833 DOI: 10.1136/archdischild-2016-311568] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2016] [Revised: 01/30/2017] [Accepted: 02/01/2017] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To determine which of multiple early-life exposures predict onset or resolution of overweight/obesity during a 9-year period. METHODS Design: longitudinal cohort from three harmonised community-based cohorts enriched for overweight and obesity. Early-life exposures: child-gestational age; delivery; birth weight; breast feeding; solids introduction; baseline body mass index (BMI); waist circumference; diet; activity; global, physical and psychosocial health. Mother-baseline BMI; education; age; neighbourhood disadvantage; concern for child's weight. Outcome: change in BMI category. Analyses: adjusted logistic regression. RESULTS On average, the 363 children (57% retention) were 6 and 15 years old at baseline and follow-up. Children were classified as 'never' overweight/obese (38%), 'resolving' overweight/obese (15%), 'becoming' overweight/obese (8%) or 'always' overweight/obese (39%). Compared with 'never overweight/obese' children, odds of 'becoming overweight/obese' were greater with higher child (OR 2.33, 95% CI 1.02 to 5.29) and maternal BMI (OR 1.18, CI 1.07 to 1.31), and lower with higher maternal education (OR 0.09, CI 0.02 to 0.34). Compared with 'always overweight/obese' children, odds of 'resolving overweight/obese' were lower with higher maternal BMI (OR 0.87, CI 0.78 to 0.97), and higher with better child physical health (OR 1.06, CI 1.02 to 1.10) and higher maternal age (OR 1.11, CI 1.01 to 1.22) and education (OR 4.07, CI 1.02 to 16.19). CONCLUSIONS Readily available baseline information (child/maternal BMI, maternal age, education and child health) were the strongest predictors of both onset and resolution of overweight/obesity between the primary school and adolescent years. Perinatal, breastfeeding and lifestyle exposures were not strongly predictive. Results could stimulate development of algorithms identifying children most in need of targeted prevention or treatment.
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Affiliation(s)
- Jessica A Kerr
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Catherine Long
- Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan A Clifford
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Joshua Muller
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia
| | - Alanna N Gillespie
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Susan Donath
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia
| | - Melissa Wake
- Murdoch Childrens Research Institute, Parkville, Victoria, Australia.,Department of Paediatrics, The University of Melbourne, Parkville, Victoria, Australia.,Department of Paediatrics & Liggins Institute, University of Auckland, Grafton, Auckland, New Zealand
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