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Dive into the research topics where Blythe J. O’Hara is active.

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Featured researches published by Blythe J. O’Hara.


BMC Public Health | 2013

Effectiveness of Australia’s Get Healthy Information and Coaching Service®: maintenance of self-reported anthropometric and behavioural changes after program completion

Blythe J. O’Hara; Philayrath Phongsavan; Elizabeth G. Eakin; Elizabeth Develin; Joanne Smith; Mark Greenaway; Adrian Bauman

BackgroundThe Get Healthy Information and Coaching Service® (GHS) is a population-wide telephone-based program aimed at assisting adults to implement lifestyle improvements. It is a relatively uncommon example of the translation of efficacious trials to up-scaled real-world application. GHS participants who completed the 6-month coaching program made significant initial improvements to their weight, waist circumference, Body Mass Index (BMI), physical activity and nutrition behaviours. This study examines the maintenance of anthropometric and behaviour change improvements 6-months after program completion.MethodsGHS coaching participants (n=1088) were recruited between February 2009 and June 2011. Participants were eligible if they completed the 6-month coaching program and had available data at 12-month follow-up (n=277). Weight, waist circumference, BMI, fruit and vegetable consumption and physical activity were collected at baseline and 6-months by GHS coaches and 12-months (6-months post program) by independent evaluators. Matched pair t-tests, mixed linear regression and logistic regression analyses were performed to assess maintenance of program effects.ResultsImprovements in weight (−2.9 kg, 95% CI: -3.6, -2.1), waist circumference (−5.4 cm, 95% CI: -6.7, -4.1), BMI (−1.1units, 95% CI: -1.5, -0.8), and fruit (+0.3 serves per day, 95% CI: 0.2, 0.3) and vegetable (+0.5 serves per day 95% CI: 0.3, 0.6) consumption were observed from baseline to 12-months. Apart from vegetable consumption, there were no significant differences between 6-month and 12-month changes from baseline, indicating these risk factor improvements were maintained from the end of the coaching program. There were also improvements in the proportion of participants undertaking recommended levels of physical activity from baseline to 12-months (increase of 5.2%), however the improvements made at end of the coaching program were not maintained at the 6-month follow up.ConclusionsThis study provides preliminary evidence that the GHS has potential to contribute to substantial improvements in the chronic disease risk factor profile of program completers and facilitates sustained maintenance six months after completing the coaching program.


BMC Public Health | 2015

Finding the keys to successful adult-targeted advertisements on obesity prevention: an experimental audience testing study

Helen Dixon; Maree Scully; Sarah Durkin; Emily Brennan; Trish Cotter; Sarah Maloney; Blythe J. O’Hara; Melanie Wakefield

BackgroundMass media communications are an important component of comprehensive interventions to address population levels of overweight and obesity, yet we have little understanding of the effective characteristics of specific advertisements (ads) on this topic. This study aimed to quantitatively test audience reactions to existing adult-focused public health television ads addressing overweight and obesity to determine which ads have the highest levels of message acceptance, argument strength, personalised perceived effectiveness and negative emotional impact.Methods1116 Australian adults aged 21-55 years recruited from a national online panel participated in this web-based study. Quotas were applied to achieve even numbers of males and females, those aged 21-29 years and 30-55 years, and those with a healthy weight (BMI = 18.5-24.9) and overweight/obesity (BMI = 25+). Participants were randomly assigned to view and rate four of eight ads that varied in terms of message content (health consequences, supportive/encouraging or social norms/acceptability) and execution style (graphic, simulation/animation, positive or negative testimonial, or depicted scene).ResultsToxic fat (a graphic, health consequences ad) was the top performing ad on all four outcome measures and was significantly more likely than the other ads tested to promote strong responses in terms of message acceptance, argument strength and negative emotional impact. Measure up (a negative testimonial, health consequences ad) performed comparably on personalised perceived effectiveness. Most ads produced stronger perceptions of personalised perceived effectiveness among participants with overweight/obesity compared to participants with healthy weight. Some ads were more likely to promote strong negative emotions among participants with overweight/obesity.ConclusionsFindings provide preliminary evidence of the most promising content and executional styles of ads that could be pursued as part of obesity prevention campaigns. Ads emphasising the negative health consequences of excess weight appear to elicit stronger cognitive and emotional responses from adults with overweight/obesity. However, careful pre-testing of these types of ads is needed prior to their inclusion in actual campaigns to ensure they do not have unintended negative impacts such as increased stigmatisation of vulnerable individuals and increased levels of body dissatisfaction and/or eating-disordered behaviour among at-risk population sub-groups.


BMC Public Health | 2012

Using mass-media communications to increase population usage of Australia’s Get Healthy Information and Coaching Service®

Blythe J. O’Hara; Adrian Bauman; Philayrath Phongsavan

BackgroundGlobal obesity prevalence is increasing and population health programs are required to support changes to modifiable lifestyle risk factors. Such interventions benefit from mass-communications to promote their use. The Get Healthy Information and Coaching Service ® (GHS) utilised mass-reach media advertising to recruit participants to an Australian state-wide program.MethodsA stand alone population survey collected awareness, knowledge and behavioural variables before the first advertising phase, (n = 1,544; August -September 2010), during (n = 1,500; February - March 2011) and after the advertising period (n = 1,500; June-July 2011). GHS usage data (n = 6,375) was collated during July 2010 – June 2011.ResultsThe results showed that television-lead mass-media significantly increased unprompted awareness (0% to 31.8%, p < 0.001); prompted awareness (2.5% to 23.7%, p < 0.001); and understanding (10.2% to 32.2%, p < 0.001). Mass-media (television, print and mail out information) was more often cited as the source of referral by males, those aged 18 – 49 years, employed, and from the lowest socio-economic groups. During the weeks when mass-media advertising was present, 4 and 2.5 times more information and coaching participants respectively registered than when there was no advertising present. Participants who cited television and print were less likely to enrol in GHS coaching, but this was not the case for mail out information and secondary referral sources.ConclusionsGHS mass-communications campaigns are effective at increasing awareness and usage of the GHS, especially among hard-to-reach population groups. Television advertising provides universal reach, but should be supplemented by health professional referrals and targeted mail-out information to recruit participants to the intensive GHS coaching program.


Journal of Health Communication | 2016

Impact of the Swap It, Don’t Stop It Australian National Mass Media Campaign on Promoting Small Changes to Lifestyle Behaviors

Blythe J. O’Hara; Anne Grunseit; Philayrath Phongsavan; William Bellew; Megan Briggs; Adrian Bauman

Mass media campaigns aimed at influencing lifestyle risk factors are one way that governments are attempting to address chronic disease risk. In Australia, a national campaign aimed at encouraging Australians to make changes in lifestyle-related behaviors was implemented from 2008 to 2011. The first phase, Measure Up (2008–2009), focused on why lifestyle changes are needed by increasing awareness of the link between waist circumference and chronic disease risk. The second phase, Swap It, Don’t Stop It (2011), emphasized how adults can change their behaviors. Cross-sectional telephone surveys (after the campaign) were undertaken in July and November 2011 to evaluate the Swap It, Don’t Stop It campaign and included measures of campaign awareness and lifestyle-related behavior change. Survey participants (N = 5,097) were similar across the two survey periods. Prompted campaign awareness was 62% (16% for unprompted awareness); females, younger respondents (18–44 years), those in paid employment, and those who spoke English at home were more likely to report prompted/unprompted campaign awareness. Moreover, 16% of survey respondents reported any swapping behavior in the previous 6 months, with the majority (14%) reporting only one swap; younger respondents and those in paid employment were significantly more likely to report having implemented a swapping behavior. The campaign achieved modest population awareness but demonstrated limited effect in terms of nudging behaviors. This evaluation indicates that encouraging swapping behaviors as a prelude to lifestyle change may not result from a mass media campaign alone; a comprehensive multicomponent population approach may be required.


PLOS ONE | 2015

Getting the message across: outcomes and risk profiles by awareness levels of the "measure-up" obesity prevention campaign in Australia.

Anne Grunseit; Blythe J. O’Hara; Josephine Y. Chau; Megan Briggs; Adrian Bauman

Background Obesity campaign evaluations have used campaign awareness to assess impact, yet have not compared unprompted campaign recallers, with prompted recallers and those with no campaign recall. Using data from an Australian mass-media obesity prevention campaign linking waist circumference and chronic disease we examined whether those with different degrees of campaign recall are distinct groups demographically and for subsequent campaign effects. Methods A national cross-sectional telephone survey of randomly selected adults aged 18 to 65 years was conducted post- campaign (n = 2812) covering campaign recall, self-reported diet and physical activity (PA) and waist-measuring knowledge, behaviours and intentions to make lifestyle changes. Respondents were divided into three groups indicating campaign recall: Unprompted Recallers (n=1154); Prompted Recallers (n=1284); and No Recallers (n=374) and compared on demographic, knowledge, and behavioural risk factors for obesity/chronic disease. Results Unprompted Recallers were more likely to speak English at home (p<.001), be in the primary campaign target group (25-45 years with children) (p<0.001) than the other two groups and to be university educated and female than the Prompted Recall group only (p=0.001). Unprompted Recallers had better knowledge about recommended waist circumference (p<.001), fruit (p=0.004), vegetable (p<0.001) and PA guidelines (p<0.001) than both the other groups. The No Recall group was less likely than the other two to be overweight/obese (46% vs 55%, p=0.020 and 54%, p=0.037), comparable on meeting fruit consumption and PA guidelines but more likely to meet vegetable intake recommendations (than Unprompted Recallers only). Conclusions Unprompted recallers were more knowledgeable about campaign messages; behaviour change and intentions to change were stronger for the two recall groups compared with the No Recall group but not different between them. The current analysis revealed subtle differences in campaign exposure and/or attendance by different demographic subgroups that would not be apparent in a simple aware/unaware dichotomy.


International journal of health promotion and education | 2016

Preventive health coaching: is there room to be more prescriptive?

Blythe J. O’Hara; Bronwyn McGill; Philayrath Phongsavan

Abstract Objectives: Health coaching is gaining prominence in chronic diseases management, treatment adherence and more recently, in the area of preventive health. In Australia, the Get Healthy Information and Coaching Service (GHS) is a preventive health coaching service with demonstrated outcome effectiveness. The purpose of this study was to determine the effectiveness of the process of health coaching. Design: The study (n = 61) involved analysis of audio recordings of coaching calls at time points during the six-month coaching program. A coaching call review instrument was developed specifically to assess: goal setting, relationship building, information exchange and education, behavioral modification techniques, emotional management, and GHS content-specific information. Methods: Two reviewers were randomly assigned to review the calls. Descriptive analyses were performed on coaching domain variables and coaching behavior variables as collected by the instrument. Results: The results indicate that the GHS coaches incorporated goal setting, information exchange and education, and relationship building moderately in their coaching interactions. Behavior modification and emotional management were incorporated to a lesser extent. GHS reference material was rarely mentioned and there were significant differences based on when the coaching call occurred; such that realistic weight loss and reference to the GHS materials were more likely to be mentioned in weeks 0–4 (p < 0.05; and p < 0.001 respectively). Conclusions: There is an opportunity for preventive health coaching to be more prescriptive and directive through maximizing the accountability of goals, referencing evidence-based materials more often, providing more information and education, and managing the coaching process to stimulate action.


Health Education Research | 2018

A review of the impact of physical activity mass media campaigns on low compared to high socioeconomic groups

Margaret Thomas; Philayrath Phongsavan; Bronwyn McGill; Blythe J. O’Hara; Adrian Bauman

Physical inactivity is a major contributor to non-communicable disease and people of low socioeconomic status (SES) are more likely to be insufficiently active. Physical activity mass media campaigns aim to increase physical activity participation, but little is known about their impact on low SES groups. We reviewed the published literature from 1990 to June 2016 to identify reports of physical activity mass media campaigns. We documented evaluation/study design, target population, campaign outcomes assessed, SES measures used and analysed the results of the SES comparisons. A total of 23 papers were reviewed, reporting on 17 physical activity campaigns and 12 campaigns compared SES differences for 85 outcomes: 45 comparisons showed no difference between lowest and highest SES groups, 20 showed a better outcome for the lowest SES group and 20 showed a worse outcome. Some campaigns found inconsistent results, but seven found only equal and/or better results for low SES groups. Post-campaign physical activity behaviour most commonly showed no SES differences, but no other patterns were seen. Our review found that physical activity mass media campaigns have mostly equitable or better impacts for low SES groups, but to reduce inequalities these campaigns need to be maximally effective for low SES populations.


American Journal of Health Promotion | 2017

Weight-Related Goal Setting in a Telephone-Based Preventive Health-Coaching Program Demonstration of Effectiveness

Blythe J. O’Hara; Joanne Gale; Bronwyn McGill; Adrian Bauman; Lana Hebden; Margaret Allman-Farinelli; Michelle Maxwell; Philayrath Phongsavan

Purpose: This study investigated whether participants in a 6-month telephone-based coaching program, who set physical activity, nutrition, and weight loss goals had better outcomes in these domains. Design: Quasi-experimental design. Setting: The Australian Get Healthy Information and Coaching Service (GHS), a free population-wide telephone health-coaching service that includes goal setting as a key component of its coaching program. Participants: Consenting GHS coaching participants who had completed coaching between February 2009 and December 2012 (n = 4108). Measures: At baseline, participants select a goal for the coaching program, and sociodemographic variables are collected. Self-reported weight, height, waist circumference, physical activity, and nutrition-related behaviors are assessed at baseline and 6 months. Analysis: Descriptive analysis was performed on key sociodemographic variables, and the relationship between goal type and change in health outcomes was assessed using a series of linear mixed models that modeled change from baseline to 6 months. Results: Participants who set goals in relation to weight management and physical activity achieved better results in these areas than those who set alternate goals, losing more than those who set alternate goals (1.5 kg and 0.9 cm in waist circumference) and increasing walking per week (40 minutes), respectively. There was no difference in food-related outcomes for those that set nutrition-related goals. Conclusion: Goal setting for weight management and increasing physical activity in the overweight and obese population, undertaken in a telephone-based coaching program, can be effective.


Health Education Research | 2013

Evaluating the effectiveness of an Australian obesity mass-media campaign: how did the ‘Measure-Up’ campaign measure up in New South Wales?

Elizabeth L. King; Anne Grunseit; Blythe J. O’Hara; Adrian Bauman


BMC Public Health | 2014

Process evaluation of an up-scaled community based child obesity treatment program: NSW Go4Fun®

Debra Welsby; Binh Nguyen; Blythe J. O’Hara; Christine Innes-Hughes; Adrian Bauman

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Helen Dixon

Cancer Council Victoria

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Maree Scully

Cancer Council Victoria

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Sarah Durkin

Cancer Council Victoria

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