Wood, Gina Nadine

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Given Name
Gina Nadine
Gina
Surname
Wood
UNE Researcher ID
une-id:gwood26
Email
gwood26@myune.edu.au
URI
Preferred Given Name
Gina
School/Department
School of Science and Technology

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  • Thumbnail Image
    Publication
    Accelerating precision agriculture to decision agriculture: Enabling digital agriculture in Australia
    (Cotton Research and Development Corporation (CRDC), 2017)
    Leonard, Emma
    ;
    Rainbow, Rohan
    ;
    Laurie, A
    ;
    Lamb, David 
    ;
    Llewellyn, R
    ;
    Perrett, Ed
    ;
    Sanderson, Jay
    ;
    Skinner, Andrew
    ;
    Stollery, T
    ;
    Wiseman, Leanne
    ;
    Wood, G 
    ;
    Zhang, Airong
    ;
    Trindal, Jane
    ;
    Baker, I
    ;
    Barry, Simon
    ;
    Darragh, L
    ;
    Darnell, Ross
    ;
    George, A
    ;
    Heath, Richard
    ;
    Jakku, Emma
    ;
    Australian Government, Department of Agriculture and Water Reources
    The aim of the project was to benchmark Australian producers' needs, perceived risks and benefits, and expectations associated with digital agriculture and big data context. Such understanding will inform strategies aimed at 1) better utilising agricultural data to enhance productivity and profitability, and 2) better capitalising on the opportunities created by digital agriculture and big data. In consultation with P2D project members and participating RDCs, CSIRO designed the survey questionnaire and conducted a survey of 1000 producers across 17 agricultural industries during the period of 7 March to 18 April 2017. The sampling specifications for each industry was defined in consultation with relevant participating RDCs. The study investigated producers' needs, perceived risks and benefits, and expectations from three aspects: telecommunication infrastructure, the status of current data collection, and data sharing and concerns in the big data context.
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    Publication
    HIIT is not superior to MICT in altering blood lipids: a systematic review and meta-analysis
    (BMJ Group, 2019)
    Wood, Gina 
    ;
    Murrell, Anna 
    ;
    Van Der Touw, Tom 
    ;
    Smart, Neil 

    Objective To compare the effects of moderate intensity continuous training (MICT) and high intensity interval training (HIIT) on adult lipid profiles; to identify training or participant characteristics that may determine exercise-induced change in total cholesterol (TC), triglycerides (TRG), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C).

    Design Systematic review and meta-analysis.

    Data sources English language searches of several databases were conducted from inception until September 2019.

    Eligibility criteria for excluding studies Inclusion: (1) published randomised controlled human trials with group population n≥5; (2) intervention duration ≥4 weeks; (3) comparing HIIT with MICT; and (4) reporting pre–post intervention lipid measurements. Exclusion: subjects with chronic disease, <18 years, pregnant/lactating, in elite athletic training; and studies with a dietary or pharmaceutical intervention component.

    Results Twenty-nine data sets (mmol/L) of 823 participants were pooled and analysed. Neither HIIT nor MICT was better in decreasing TC (0.10 (−0.06 to 0.19), p=0.12, I2=0%), TRG (−0.05 (−0.11 to 0.01), p=0.10, I2=0%), LDL-C (0.05 (−0.06 to 0.17), p=0.37, I2=0%), or TC/HDL-C (−0.03 (−0.36 to 0.29), p=0.85, I2=0%). HIIT significantly raised HDL-C (0.07 (0.04 to 0.11), p<0.0001, I2=0%) compared with MICT.

    Conclusion Neither HIIT nor MICT is superior for altering TC, TRG, or LDL-C, or TC-HDL-C ratio. Compared with MICT, HIIT appeared to significantly improve HDL-C. Clinicians may prescribe either protocol to encourage participation in exercise and reduce cardiovascular risk. To raise HDL-C, HIIT may result in a larger effect size compared with MICT.

    PROSPERO registration number CRD42019136722.