Do They Like My Post? A Three Arm Randomised Control Trial Investigating the Effect of Exposure to Body Positivity (Self-Love) Compared to Fitspiration Social Media Content on Female Adults’ Perceived Body Image.

Start Date15 Jun 2021

Sponsor / Collaborator

University of Auckland, Faculty of Medical and Health Sciences

100 Clinical Results associated with University of Auckland, Faculty of Medical and Health Sciences

0 Patents (Medical) associated with University of Auckland, Faculty of Medical and Health Sciences

178

Literatures (Medical) associated with University of Auckland, Faculty of Medical and Health Sciences

01 Jul 2024·Archives of Disease in Childhood - Fetal and Neonatal Edition

Dextrose gel prophylaxis for neonatal hypoglycaemia and neurocognitive function at early school age: a randomised dosage trial

Article

Author: McNeill, Alicia ; Alsweiler, Jane M ; Rogers, Jenny ; Brown, Gavin T L ; Gamble, Gregory D ; Turuwhenua, Jason ; Franke, Nike ; Harding, Jane E ; Wouldes, Trecia A ; Thompson, Benjamin ; McKinlay, Christopher J D ; Wei, Xingyu

ObjectiveTo investigate the effect of different doses of prophylactic dextrose gel on neurocognitive function and health at 6–7 years.DesignEarly school-age follow-up of the pre-hPOD (hypoglycaemia Prevention with Oral Dextrose) study.SettingSchools and communities.PatientsChildren born at ≥35 weeks with ≥1 risk factor for neonatal hypoglycaemia: maternal diabetes, small or large for gestational age, or late preterm.InterventionsFour interventions commencing at 1 hour of age: dextrose gel (40%) 200 mg/kg; 400 mg/kg; 200 mg/kg and 200 mg/kg repeated before three feeds (800 mg/kg); 400 mg/kg and 200 mg/kg before three feeds (1000 mg/kg); compared with equivolume placebo (combined for analysis).Main outcomes measuresToolbox cognitive and motor batteries, as well as tests of motion perception, numeracy and cardiometabolic health, were used. The primary outcome was neurocognitive impairment, defined as a standard score of more than 1 SD below the age-corrected mean on one or more Toolbox tests.FindingsOf 392 eligible children, 309 were assessed for the primary outcome. There were no significant differences in the rate of neurocognitive impairment between those randomised to placebo (56%) and dextrose gel (200 mg/kg 46%: adjusted risk difference (aRD)=−14%, 95% CI −35%, 7%; 400 mg/kg 48%: aRD=−7%, 95% CI −27%, 12%; 800 mg/kg 45%: aRD=−14%, 95% CI −36%, 9%; 1000 mg/kg 50%: aRD=−8%, 95% CI −29%, 13%). Children exposed to any dose of dextrose gel (combined), compared with placebo, had a lower risk of motor impairment (3% vs 14%, aRD=-11%, 95% CI −19%, −3%) and higher mean (SD) cognitive scores (106.0 (15.3) vs 101.1 (15.7), adjusted mean difference=5.4, 95% CI 1.8, 8.9).ConclusionsProphylactic neonatal dextrose gel did not alter neurocognitive impairment at early school age but may have motor and cognitive benefits. Further school-age follow-up studies are needed.

01 May 2024·BMJ Open Respiratory Research

DIGIPREDICT: physiological, behavioural and environmental predictors of asthma attacks—a prospective observational study using digital markers and artificial intelligence—study protocol

Article

Author: Wood, Lisa ; Eikholt, Amber A ; Roy, Rajshri ; Hikaka, Joanna ; Tsang, Kevin C H ; Shah, Syed Ahmar ; Wall, Clare ; Pinnock, Hilary ; Semprini, Ruth ; Roop, Partha ; Baggott, Christina ; Dalziel, Stuart ; Jeremiah, Aron ; Naeem, Muhammed Asif ; Harwood, Matire ; Chan, Amy Hai Yan ; Cavadino, Alana ; Mirza, Farhaan ; Harrison, Jeff ; Hudson, Mariana ; van Boven, Job F M ; Te Ao, Braden ; Gibbs, Dianna ; Chang, Catherina L ; Abeysinghe, Binu Nisal

IntroductionAsthma attacks are a leading cause of morbidity and mortality but are preventable in most if detected and treated promptly. However, the changes that occur physiologically and behaviourally in the days and weeks preceding an attack are not always recognised, highlighting a potential role for technology. The aim of this study ‘DIGIPREDICT’ is to identify early digital markers of asthma attacks using sensors embedded in smart devices including watches and inhalers, and leverage health and environmental datasets and artificial intelligence, to develop a risk prediction model to provide an early, personalised warning of asthma attacks.Methods and analysisA prospective sample of 300 people, 12 years or older, with a history of a moderate or severe asthma attack in the last 12 months will be recruited in New Zealand. Each participant will be given a smart watch (to assess physiological measures such as heart and respiratory rate), peak flow meter, smart inhaler (to assess adherence and inhalation) and a cough monitoring application to use regularly over 6 months with fortnightly questionnaires on asthma control and well-being. Data on sociodemographics, asthma control, lung function, dietary intake, medical history and technology acceptance will be collected at baseline and at 6 months. Asthma attacks will be measured by self-report and confirmed with clinical records. The collected data, along with environmental data on weather and air quality, will be analysed using machine learning to develop a risk prediction model for asthma attacks.Ethics and disseminationEthical approval has been obtained from the New Zealand Health and Disability Ethics Committee (2023 FULL 13541). Enrolment began in August 2023. Results will be presented at local, national and international meetings, including dissemination via community groups, and submission for publication to peer-reviewed journals.Trial registration numberAustralian New Zealand Clinical Trials Registry ACTRN12623000764639; Australian New Zealand Clinical Trials Registry.

01 Mar 2024·BMJ Open

Examining the impact of COVID-19 on Māori:non-Māori health inequities in Aotearoa, New Zealand: an observational study protocol

Article

Author: Jiang, Yannan ; Tamatea, Jade ; Curtis, Elana ; Robson, Bridget ; Atkinson, June ; Reid, Papaarangi ; Harris, Ricci B ; Paine, Sarah-Jane ; McLeod, Melissa ; Jaung, Rebekah

IntroductionThe COVID-19 pandemic has had both direct and indirect impacts on the health of populations worldwide. While racial/ethnic health inequities in COVID-19 infection are now well known (and ongoing), knowledge about the impact of COVID-19 pandemic management on non-COVID-19-related outcomes for Indigenous peoples is less well understood. This article presents the study protocol for the Health Research Council of New Zealand funded project ‘Mā te Mōhio ka Mārama: Impact of COVID-19 on Māori:non-Māori inequities’. The study aims to explore changes in access to healthcare, quality of healthcare and health outcomes for Māori, the Indigenous peoples of Aotearoa New Zealand (NZ) and non-Māori during the COVID-19 outbreak period across NZ.Methods and analysisThis observational study is framed within a Kaupapa Māori research positioning that includes Kaupapa Māori epidemiology. National datasets will be used to report on access to healthcare, quality of healthcare and health outcomes between Māori and non-Māori during the COVID-19 pandemic in NZ. Study periods are defined as (a) prepandemic period (2015–2019), (b) first pandemic year without COVID-19 vaccines (2020) and (c) pandemic period with COVID-19 vaccines (2021 onwards). Regional and national differences between Māori and non-Māori will be explored in two phases focused on identified health priority areas for NZ including (1) mortality, cancer, long-term conditions, first 1000 days, mental health and (2) rheumatic fever.Ethics and disseminationThis study has ethical approval from the Auckland Health Research Ethics Committee (AHREC AH26253). An advisory group will work with the project team to disseminate the findings of this project via project-specific meetings, peer-reviewed publications and a project-specific website. The overall intention of the project is to highlight areas requiring health policy and practice interventions to address Indigenous inequities in health resulting from COVID-19 pandemic management (both historical and in the future).

100 Deals associated with University of Auckland, Faculty of Medical and Health Sciences

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