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Dive into the research topics where Luke Wolfenden is active.

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Featured researches published by Luke Wolfenden.


BMC Public Health | 2011

Associations between characteristics of the home food environment and fruit and vegetable intake in preschool children: A cross-sectional study

Rebecca Wyse; Elizabeth Campbell; Nicole Nathan; Luke Wolfenden

BackgroundEarly childhood is critical to the development of lifelong food habits. Given the high proportion of children with inadequate fruit and vegetable consumption, identification of modifiable factors associated with higher consumption may be useful in developing interventions to address this public health issue. This study aimed to identify the characteristics of the home food environment that are associated with higher fruit and vegetable consumption in a sample of Australian preschool children.MethodsA cross-sectional telephone survey was conducted with 396 parents of 3 to 5 year-old children attending 30 preschools within the Hunter region, New South Wales, Australia. Childrens fruit and vegetable consumption was measured using a valid and reliable subscale from the Childrens Dietary Questionnaire. Associations were investigated between childrens fruit and vegetable intake and characteristics of the home food environment including parental role-modeling, parental providing behaviour, fruit and vegetable availability, fruit and vegetable accessibility, pressure to eat, family eating policies and family mealtime practices. Characteristics of the home food environment that showed evidence of an association with childrens fruit and vegetable consumption in simple regression models were entered into a backwards stepwise multiple regression analysis. The multiple regression analysis used generalised linear mixed models, controlled for parental education, household income and child gender, and was adjusted for the correlation between childrens fruit and vegetable consumption within a preschool.ResultsThe multiple regression analysis found positive associations between childrens fruit and vegetable consumption and parental fruit and vegetable intake (p = 0.005), fruit and vegetable availability (p = 0.006) and accessibility (p = 0.012), the number of occasions each day that parents provided their child with fruit and vegetables (p < 0.001), and allowing children to eat only at set meal times all or most of the time (p = 0.006). Combined, these characteristics of the home food environment accounted for 48% of the variation in the childs fruit and vegetable score.ConclusionsThis study identified a range of modifiable characteristics within the home food environment that are associated with fruit and vegetable consumption among preschool children. Such characteristics could be considered potential targets for interventions to promote intake among children of this age.


BMC Public Health | 2010

Parental influences on child physical activity and screen viewing time: a population based study

Ben J. Smith; Anne Grunseit; Lesley King; Luke Wolfenden; Andrew Milat

BackgroundParents can influence their childrens physical activity participation and screen time.This study examined the relative significance of perceived parental barriers and self-efficacy in relation to childrens physical activity participation and screen time viewing. The associations between these factors and the behaviours were analysed.MethodsCross-sectional population survey in New South Wales, Australia of parents of pre-school (N = 764), younger (Kindergarten, Grades 2 and 4; N = 1557) and older children (Grades 6, 8 and 10; N = 1665). Parents reported barriers and self-efficacy to influence their childs physical activity and screen time behaviours in a range of circumstances. Differences were examined by childs sex and age group, household income, maternal education and location of residence. The duration of physical activity and screen viewing was measured by parental report for pre-school and younger children and self-report for older children. Associations between parental factors and childrens organised, non-organised and total activity and screen time were analysed.ResultsCost, lack of opportunities for participation and transport problems were the barriers most often reported, particularly by low income parents and those in rural areas. The number of barriers was inversely related to childrens time spent in organised activity, but not their non-organised activity. Higher parental self-efficacy was positively associated with organised physical activity in the younger and older childrens groups and the non-organised activity of older children. School-age children (younger and older groups) were less likely to meet physical activity guidelines when parents reported ≥4 barriers (OR 3.76, 95% CI 1.25-11.34 and OR 3.72, 95% CI 1.71-8.11 respectively). Low parental self-efficacy was also associated with the likelihood of children exceeding screen time guidelines for each age group (pre-school OR 0.62, 95% CI 0.43-0.87; young children OR 0.56, 95% CI 0.39-0.80; and older children OR 0.57, 95% CI 0.43-0.74).ConclusionParental barriers are associated with the time that children spend in both active and sedentary pursuits. These findings highlight family, economic and environmental factors that should be addressed in programs to promote child physical activity and tackle sedentary behaviour.


Anaesthesia | 2005

A programme for reducing smoking in pre-operative surgical patients: randomised controlled trial

Luke Wolfenden; John Wiggers; Jennifer Knight; Elizabeth Campbell; Chris Rissel; Ross Kerridge; Allan D. Spigelman; Karen Moore

We assessed the efficacy of a comprehensive programme for stopping smoking in 210 smokers scheduled for surgery, before admission and 3 months after attending a pre‐operative clinic. Participants were randomly allocated to receive an intervention incorporating nicotine replacement therapy for patients smoking more than 10 cigarettes per day (‘dependent smokers’), or to a control group to receive usual care. Dependent smokers allocated to the intervention group were more likely to report abstinence before surgery than those allocated to receive usual‐care (63 (73%) vs. 29 (56%), respectively; OR 2.2 (95% CI 1.0–4.8)), and 3 months after attendance (16 (18%) vs. 3 (5%), respectively; OR = 3.9 (95% CI 1.0–21.7).


Australian and New Zealand Journal of Public Health | 2009

Obtaining active parental consent for school-based research: a guide for researchers.

Luke Wolfenden; Kypros Kypri; Megan Freund; Rebecca K Hodder

Objective: Schools increasingly require researchers to obtain active parental consent for students to participate in health research. We sought to identify effective strategies for the recruitment of child research participants through schools.


Journal of Clinical Epidemiology | 2008

Reporting of adverse events in systematic reviews can be improved: survey results

Sally Hopewell; Luke Wolfenden; Mike Clarke

OBJECTIVE To assess how information about adverse events is included in systematic reviews. STUDY DESIGN AND SETTING We included all new Cochrane reviews published in the Cochrane Database of Systematic Reviews (CDSRs) and all new reviews (2003--2004) in the Database of Abstracts of Reviews of Effects (DAREs) in Issue 1 2005 of The Cochrane Library. RESULTS More than half of Cochrane (44/78) and DARE (46/79) reviews assessed drug interventions. The rest assessed surgery (Cochrane [12]; DARE [10]), psychosocial, educational, or physiotherapy interventions (22; 23). Seventy-six percent (59/78) of Cochrane reviews mentioned adverse events as an outcome compared with 48% (38/79) of DARE reviews. Most reviews mentioning adverse events were of drug interventions (Cochrane [41/59]; DARE reviews [29/38]). Considering reviews that mentioned adverse events, 95% (56/59) of Cochrane reviews included only randomized trials and 73% (43/59) included an analysis of adverse events. For 10 Cochrane reviews, adverse events had not been reported by the included trials. In contrast, 58% (22/38) of DARE reviews mentioning adverse events included only randomized trials, the rest included both randomized and nonrandomized studies. CONCLUSIONS Most Cochrane reviews of drug interventions considered adverse events. This was not the case for DARE reviews and for Cochrane reviews of nondrug interventions. This could be improved.


Appetite | 2014

The effect of energy and traffic light labelling on parent and child fast food selection: a randomised controlled trial

Pennie Dodds; Luke Wolfenden; Kathy Chapman; Lyndal Wellard; Clare Hughes; John Wiggers

OBJECTIVES Labelling of food from fast food restaurants at point-of-purchase has been suggested as one strategy to reduce population energy consumption and contribute to reductions in obesity prevalence. The aim of this study was to examine the effects of energy and single traffic light labelling systems on the energy content of child and adult intended food purchases. PARTICIPANTS AND METHODS The study employed a randomised controlled trial design. English speaking parents of children aged between three and 12 years were recruited from an existing research cohort. Participants were mailed one of three hypothetical fast food menus. Menus differed in their labelling technique- either energy labels, single traffic light labels, or a no-label control. Participants then completed a telephone survey which assessed intended food purchases for both adult and child. The primary trial outcome was total energy of intended food purchase. RESULTS A total of 329 participants completed the follow-up telephone interview. Eighty-two percent of the energy labelling group and 96% of the single traffic light labelling group reported noticing labelling information on their menu. There were no significant differences in total energy of intended purchases of parents, or intended purchases made by parents for children, between the menu labelling groups, or between menu labelling groups by socio-demographic subgroups. CONCLUSIONS This study provided no evidence to suggest that energy labelling or single traffic light labelling alone were effective in reducing the energy of fast food items selected from hypothetical fast food menus for purchase. Additional complementary public health initiatives promoting the consumption of healthier foods identified by labelling, and which target other key drivers of menu item selection in this setting may be required.OBJECTIVES Labelling of food from fast food restaurants at point-of-purchase has been suggested as one strategy to reduce population energy consumption and contribute to reductions in obesity prevalence. The aim of this study was to examine the effects of energy and single traffic light labelling systems on the energy content of child and adult intended food purchases. PARTICIPANTS AND METHODS The study employed a randomised controlled trial design. English speaking parents of children aged between three and 12 years were recruited from an existing research cohort. Participants were mailed one of three hypothetical fast food menus. Menus differed in their labelling technique – either energy labels, single traffic light labels, or a no-label control. Participants then completed a telephone survey which assessed intended food purchases for both adult and child. The primary trial outcome was total energy of intended food purchase. RESULTS A total of 329 participants completed the follow-up telephone interview. Eighty-two percent of the energy labelling group and 96% of the single traffic light labelling group reported noticing labelling information on their menu. There were no significant differences in total energy of intended purchases of parents, or intended purchases made by parents for children, between the menu labelling groups, or between menu labelling groups by socio-demographic subgroups. CONCLUSIONS This study provided no evidence to suggest that energy labelling or single traffic light labelling alone were effective in reducing the energy of fast food items selected from hypothetical fast food menus for purchase. Additional complementary public health initiatives promoting the consumption of healthier foods identified by labelling, and which target other key drivers of menu item selection in this setting may be required.


International Journal of Behavioral Nutrition and Physical Activity | 2012

Impact of a population based intervention to increase the adoption of multiple physical activity practices in centre based childcare services: a quasi experimental, effectiveness study

Meghan Finch; Luke Wolfenden; Maryann Falkiner; Danielle Edenden; Nicole Pond; Andrew Milat; John Wiggers

BackgroundThere is considerable scope to improve the delivery of practices that increase the physical activity of children in centre based childcare services. Few studies have reported the effectiveness of interventions to address this, particularly at a population level. The primary aim of this study was to describe the impact of an intervention to increase the adoption of multiple policies and practices to promote physical activity in centre based childcare services.MethodsA quasi experimental study was conducted in centre based childcare services (n =228) in New South Wales (NSW), Australia and involved a three month intervention to increase the adoption of eight practices within childcare services that have been suggested to promote child physical activity. Intervention strategies to support the adoption of practices included staff training, resources, incentives, follow-up support and performance monitoring and feedback. Randomly selected childcare services in the remainder of NSW acted as a comparison group (n = 164) and did not receive the intervention but may have been exposed to a concurrent NSW government healthy eating and physical activity initiative. Self reported information on physical activity policies, fundamental movement skills sessions, structured physical activity opportunities, staff involvement in active play and provision of verbal prompts to encourage physical activity, small screen recreation opportunities, sedentary time, and staff trained in physical activity were collected by telephone survey with childcare service managers at baseline and 18 months later.ResultsCompared with the comparison area, the study found significantly greater increases in the prevalence of intervention services with a written physical activity policy, with policy referring to placing limits on small screen recreation, and with staff trained in physical activity. In addition, non-significant trends towards a greater increase in the proportion of intervention services conducting daily fundamental movement skill sessions, and such services having a physical activity policy supporting physical activity training for staff were also evident.ConclusionThe intervention was effective in improving a number of centre based childcare service policies and practices associated with promoting child physical activity. Adoption of a broader range of practices may require more intensive and prolonged intervention support.


BMC Public Health | 2012

Effectiveness of a multi-strategy intervention in increasing the implementation of vegetable and fruit breaks by Australian primary schools: a non-randomized controlled trial.

Nicole Nathan; Luke Wolfenden; A. C. Bell; Rebecca Wyse; Phillip J. Morgan; Michelle Butler; Rachel Sutherland; Andrew Milat; Debra Hector; John Wiggers

BackgroundLimited evidence exists describing the effectiveness of strategies in facilitating the implementation of vegetable and fruit programs by schools on a population wide basis. The aim of this study was to examine the effectiveness of a multi-strategy intervention in increasing the population-wide implementation of vegetable and fruit breaks by primary schools and to determine if intervention effectiveness varied by school characteristics.MethodsA quasi-experimental study was conducted in primary schools in the state of New South Wales, Australia. All primary schools in one region of the state (n = 422) received a multi-strategy intervention. A random sample of schools (n = 406) in the remainder of the state served as comparison schools. The multi-strategy intervention to increase vegetable and fruit breaks involved the development and provision of: program consensus and leadership; staff training; program materials; incentives; follow-up support; and implementation feedback. Comparison schools had access to routine information-based Government support. Data to assess the prevalence of vegetable and fruit breaks were collected by telephone from Principals of the intervention and comparison schools at baseline (2006–2007) and 11 to 15 months following the commencement of the intervention (2009–2010). GEE analysis was used to examine the change in the prevalence of vegetable and fruit breaks in intervention schools compared to comparison schools.ResultsAt follow-up, prevalence of vegetable and fruit breaks increased significantly in both intervention (50.3 % to 82.0 %, p < 0.001) and comparison (45.4 % to 60.9 % p < 0.001) schools. The increase in prevalence in intervention schools was significantly larger than among comparison schools (OR 2.36; 95 % CI 1.60-3.49, p <0.001). The effect size was similar between schools regardless of the rurality or socioeconomic status of school location, school size or government or non-government school type.ConclusionThe findings suggest that a multi-strategy intervention can significantly increase the implementation of vegetable and fruit breaks by a large number of Australian primary schools.


Journal of Paediatrics and Child Health | 2011

Physical activity policies and practices of childcare centres in Australia

Luke Wolfenden; Melinda Neve; Louise Farrell; Christophe Lecathelinais; Colin Bell; Andrew Milat; John Wiggers; Rachel Sutherland

Aim:  The aim of this study was to describe the physical activity‐related policies and practices of childcare services; and to determine if service size, socioeconomic or remoteness characteristics predict such policies and practices.


Health Research Policy and Systems | 2014

Increasing the scale and adoption of population health interventions: experiences and perspectives of policy makers, practitioners, and researchers.

Andrew Milat; Lesley King; Robyn Newson; Luke Wolfenden; Chris Rissel; Adrian Bauman; Sally Redman

BackgroundDecisions to scale up population health interventions from small projects to wider state or national implementation is fundamental to maximising population-wide health improvements. The objectives of this study were to examine: i) how decisions to scale up interventions are currently made in practice; ii) the role that evidence plays in informing decisions to scale up interventions; and iii) the role policy makers, practitioners, and researchers play in this process.MethodsInterviews with an expert panel of senior Australian and international public health policy-makers (n = 7), practitioners (n = 7), and researchers (n = 7) were conducted in May 2013 with a participation rate of 84%.ResultsScaling up decisions were generally made through iterative processes and led by policy makers and/or practitioners, but ultimately approved by political leaders and/or senior executives of funding agencies. Research evidence formed a component of the overall set of information used in decision-making, but its contribution was limited by the paucity of relevant intervention effectiveness research, and data on costs and cost effectiveness. Policy makers, practitioners/service managers, and researchers had different, but complementary roles to play in the process of scaling up interventions.ConclusionsThis analysis articulates the processes of how decisions to scale up interventions are made, the roles of evidence, and contribution of different professional groups. More intervention research that includes data on the effectiveness, reach, and costs of operating at scale and key service delivery issues (including acceptability and fit of interventions and delivery models) should be sought as this has the potential to substantially advance the relevance and ultimately usability of research evidence for scaling up population health action.

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John Wiggers

University of Newcastle

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Rebecca Wyse

University of Newcastle

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Megan Freund

University of Newcastle

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Jenny Bowman

University of Newcastle

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