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Nayerra Hudson

Biographic Data

ID7558426
NAMENayerra Hudson
GIVEN NAMESNayerra
FAMILY NAMEHudson
SIGNATUREHUDSON N
AFFILIATIONSHunter New England Local Health District
ORCID0000-0002-0069-1564
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2021
H-INDEX0
  • Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes

    Open Access•Alison Brown, Rachel Sutherland et al.•ARTICLE•Public Health Nutrition•2021

    Objective: The aim of the study was to assess the impact of different lunchbox messages on parents’ intention to pack a healthy lunchbox. Design: This study employed an experimental design. Setting: A series of messages were developed to align with the six constructs of the Health Belief Model. Messages were also developed that were (and were not) personalised and varied based on the source of the information provided (university, school, dietiti…

  • Protocol for an effectiveness- implementation hybrid trial to assess the effectiveness and cost-effectiveness of an m-health intervention to decrease the consumption of discretionary foods packed in s…

    Open Access•Rachel Sutherland, Alison Brown et al.•ARTICLE•BMC Public Health•2019

    Australian Clinical Trials Registry ACTRN:12618001731280 registered on 17/10/2018. Protocol Version 1

  • Increased exposure to community-based education and ‘below the line’ social marketing results in increased fruit and vegetable consumption

    Open Access•Colleen Glasson, Kathy Chapman et al.•ARTICLE•Public Health Nutrition•2013

    Objective To determine if localised programmes that are successful in engaging the community can add value to larger fruit and vegetable mass-media campaigns by evaluating the results of the Eat It To Beat It programme. Design The Eat It To Beat It programme is a multi-strategy intervention that uses community-based education and ‘below the line’ social marketing to increase fruit and vegetable consumption in parents. This programme was evaluated…

No prominent works on this page.

  • Increased exposure to community-based education and ‘below the line’ social marketing results in increased fruit and vegetable consumption

    Open Access•Colleen Glasson, Kathy Chapman et al.•ARTICLE•Public Health Nutrition•2013

    Objective To determine if localised programmes that are successful in engaging the community can add value to larger fruit and vegetable mass-media campaigns by evaluating the results of the Eat It To Beat It programme. Design The Eat It To Beat It programme is a multi-strategy intervention that uses community-based education and ‘below the line’ social marketing to increase fruit and vegetable consumption in parents. This programme was evaluated…

  • Protocol for an effectiveness- implementation hybrid trial to assess the effectiveness and cost-effectiveness of an m-health intervention to decrease the consumption of discretionary foods packed in s…

    Open Access•Rachel Sutherland, Alison Brown et al.•ARTICLE•BMC Public Health•2019

    Australian Clinical Trials Registry ACTRN:12618001731280 registered on 17/10/2018. Protocol Version 1

  • Enhancing the potential effects of text messages delivered via an m-health intervention to improve packing of healthy school lunchboxes

    Open Access•Alison Brown, Rachel Sutherland et al.•ARTICLE•Public Health Nutrition•2021

    Objective: The aim of the study was to assess the impact of different lunchbox messages on parents’ intention to pack a healthy lunchbox. Design: This study employed an experimental design. Setting: A series of messages were developed to align with the six constructs of the Health Belief Model. Messages were also developed that were (and were not) personalised and varied based on the source of the information provided (university, school, dietiti…

Intervention (counseling (3 works) · Medicine (3 works) · Nursing (3 works) · Obesity, Physical Activity, Diet (3 works) · Behavioral Health and Interventions (2 works) · Environmental health (2 works) · Mobile Health and mHealth Applications (2 works) · Psychology (2 works) · Advertising (1 work) · Biostatistics (1 work)

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