The Karma system is currently undergoing maintenance (Monday, January 29, 2018).
The maintenance period has been extended to 8PM EST.

Karma Credits will not be available for redeeming during maintenance.
Advertisement

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 16.05.18 in Vol 7, No 5 (2018): May

Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/9252, first published Oct 24, 2017.

This paper is in the following e-collection/theme issue:

    Protocol

    Design and Rationale for a Parent-Led Intervention to Increase Fruit and Vegetable Intake in Young Childhood Cancer Survivors (Reboot): Protocol for a Pilot Study

    1Behavioural Sciences Unit, Kids Cancer Centre, School of Women's and Children's Health, University of New South Wales Sydney, Sydney, Australia

    2Institute of Endocrinology and Diabetes, The Children's Hospital at Westmead, Sydney, Australia

    3Behavioural Sciences Unit, Kids Cancer Centre, School of Women's and Chidlren's Health, University of New South Wales Sydney, Sydney, Australia

    Corresponding Author:

    Lauren Touyz, MPsych (Clin), BSc (Psych)

    Behavioural Sciences Unit, Kids Cancer Centre

    School of Women's and Children's Health

    University of New South Wales Sydney

    Level 1 South, Sydney Children's Hospital, High Street, Randwick

    Sydney, 2031

    Australia

    Phone: 61 412331225

    Email:


    ABSTRACT

    Background: Poor dietary habits are common among childhood cancer survivors, despite increasing their risk of cardio metabolic complications after cancer treatment. Here, we describe the design and rationale for a pilot telephone-based, parent-led intervention aimed at increasing fruit and vegetable intake in young cancer survivors (Reboot).

    Objective: This pilot study aims to assess the feasibility and acceptability of delivering evidence-based telephone support to parents of childhood cancer survivors. A secondary aim includes assessing the effect of Reboot on improving childhood cancer survivors’ dietary quality by increasing child fruit and vegetable intake and variety and its contribution to overall nutrient intake.

    Methods: We aim to recruit parents of 15 young cancer survivors aged 2 to 12 years who have completed cancer treatment less than five years ago. The intervention comprises of 4 weekly 45-minute telephone sessions led by a health professional and one booster session 6 weeks later. Sessions address the effects of cancer treatment on children’s diets, recommended fruit and vegetable intake for children, and evidence-based strategies to promote the consumption of fruit and vegetables as well as to manage fussy eating.

    Results: Reboot is based on an existing, evidence-based parent nutrition intervention and modified for childhood cancer survivors following extensive collaboration with experts in the field. Primary outcomes of feasibility and acceptability will be measured by the number of participants who complete all five sessions, average session length (minutes), length between sessions (days) and parent Likert ratings of the usefulness and impact of the intervention collected after the booster session. Of the 15 participants we aim to recruit, 3 have completed the intervention, 1 declined to participate, 11 are actively completing the intervention and 2 participants are providing written consent. The remaining 3 participants will be recruited via telephone follow-up calls. The intervention is due to be completed by July 2018.

    Conclusions: Reboot aims to support healthy dietary behaviors in childhood cancer survivors who are at increased risk of developing serious cardiometabolic complications after their cancer treatment. Results will inform the development and implementation of future evidence-based dietary interventions delivered to childhood cancer survivors, particularly those living in rural and remote areas.

    Registered Report Identifier: RR1-10.2196/9252

    JMIR Res Protoc 2018;7(5):e129

    doi:10.2196/resprot.9252

    KEYWORDS

    Crowdfunding campaign to support this specific research

    We help JMIR researchers to raise funds to pursue their research and development aimed at tackling important health and technology challenges. If you would like to show your support for this author, please donate using the button below. The funds raised will directly benefit the corresponding author of this article (minus 8% admin fees). Your donations will help this author to continue publishing open access papers in JMIR journals. Donations of over $100 may also be acknowledged in future publications.

    keyboard with crowdfunding key instead of enter key

    Suggested contribution levels: $20/$50/$100



    Introduction

    The cardiotoxic effects of chemotherapy and radiation have been shown to contribute to an increased risk of cardiovascular disease in survivors of childhood cancer [1]. Consequently, childhood cancer survivors (CCS) are more than six times more likely to experience serious cardiac conditions compared with their siblings, with rates continuing to increase as late as thirty years after cancer treatment [2].

    One of the key predisposing factors for cardiovascular disease is metabolic syndrome, a cluster of conditions which includes central obesity, dyslipidemia, glucose intolerance and hypertension [3]. There is a strong association between a diet low in fruit and vegetables and high in saturated fat and sugar, and the onset of metabolic syndrome in CCS [4]. Consequently, CCS with metabolic syndrome are twice less likely to meet national dietary guidelines compared with those who do not have the syndrome [4].

    Despite their increased risk of developing serious chronic health conditions, young CCS often report poor health-protecting behaviors [5-8] (eg, reduced intake of fruit and vegetables, excessive energy, and inadequate calcium and folate intake) [9] and a higher intake of non-core (“junk”) foods compared with prediagnosis [10]. These behaviors often develop during treatment when children’s home food environment and eating are disrupted by frequent hospital admissions and treatment related side-effects including nausea, increased appetite, and vomiting [11]. Unhealthy eating habits established during cancer treatment also appear to be exacerbated by parents of CCS who report using unhealthy food as a means to reduce children’s pain and emotional distress after cancer treatment [10,11].

    Although dietary behaviors are among the most easily modifiable factors for reducing the risk of cardio metabolic complications, CCS and their families often live long distances from their tertiary hospital [12] making it difficult for health professionals to provide ongoing nutritional support after treatment completion. Telephone interventions may therefore represent a feasible and acceptable approach for promoting healthy eating habits among CCS.

    Telephone-based parent-led interventions have successfully increased fruit and vegetable intake in children not previously treated for cancer [13-17]. However, the feasibility and acceptability of telephone-based, parent-led fruit and vegetable interventions in CCS is yet to be evaluated. Therefore, we aim to assess the feasibility and acceptability of delivering evidence-based telephone nutritional support to parents of CCS.


    Methods

    Recruitment

    We aim to recruit the parents of 15 CCS. This number is sufficient to provide exploratory findings to inform the design of a randomized controlled trial (RCT) in this population [18]. Based on our previous research, we assume a response rate of 50% and attrition rate of 20% [18-20], and therefore it was anticipated that approximately 50 parents will need to be contacted to recruit 15 families.

    Parents will be eligible to participate if they have a child aged between 2-12 years who completed cancer treatment at the Sydney Children’s Hospital (SCH), Randwick, NSW, with curative intent, achieved remission less than 5 years ago and meet the following criteria which are (1) to provide informed consent, (2) be able to read English, and (3) have regular telephone access. Parents will be ineligible if they have (1) insufficient English language skills to complete telephone sessions and or baseline and follow-up assessments, (2) severe depression or suicidal ideation, as determined by the clinical experience of the treating oncologist, or if their child who had cancer, (3) is currently on active treatment or receiving supplementary feeding, (4) has relapsed, (5) is in palliative care or is deceased, or (6) completed cancer treatment more than five years ago.

    Eligible participants will be recruited via mail using an information and consent form explaining the purpose of the project and details of participation. Participants can choose to participate by returning the consent form or by contacting the study coordinator. Nonrespondents will be contacted by study personnel via telephone or text message. This protocol was approved by the Network Human Research Ethics Committee (HREC/15/SCHN/395).

    Intervention

    Reboot models a previous intervention aimed at increasing fruit and vegetable intake in over 400 Australian children (who did not receive cancer treatment) [16]. Following a parent-led interventional model, the parent (not the child) receives the intervention and is responsible for regulating the home food environment and acting as an important role model, which maintains children’s eating behaviors [21].

    In line with the original intervention, Reboot will be delivered to only one parent by a trained health professional (either a registered psychologist or dietitian) via 4 weekly 45-minute telephone sessions, with the addition of 1 booster session 6 weeks after the fourth intervention session (Figure 1). Intervention sessions will be guided by a parent guidebook (Figure 2) focusing on key factors associated with increased intake of fruit and vegetables in children, including the accessibility of fruit and vegetables in the home, parental providing and modelling of fruit and vegetable intake, and positive family-based mealtime practices (eg, eating together) [22]. Further details are shown in Table 1.

    Figure 1. Reboot Kids study flowchart.
    View this figure
    Figure 2. Excerpts from the Reboot Kids parent workbook.
    View this figure
    Table 1. Reboot intervention session objectives and cancer-relevant content (CCS: childhood cancer survivors).
    View this table

    Treatment Late Effects

    A study by our team identified a significant proportion (>90%) of Australian and New Zealand parents reporting unmet needs for information about the late effects of cancer treatment [23]. An introductory information module (“Why is healthy eating important for children after cancer treatment? ”) was developed to increase parents’ knowledge about the most common serious long-term health problems identified among childhood cancer survivors (eg, weight gain, heart disease, diabetes, high blood pressure, and high cholesterol) and evidence-based behaviors that may help to prevent or reduce occurrence of treatment late effects (eg, increasing children’s intake of fruits and vegetables).

    Changes in Parenting Behavior and Children’s Eating Habits

    The introductory module also includes an overview about why healthy eating is difficult for children and parents after cancer treatment. A summary of the six most common challenges is provided and it includes topics such as loss of appetite, taste changes, food aversions, steroids, limited exposure to new foods, and increased parental leniency for unhealthy foods and emotional feeding. A synopsis about common changes in children’s eating habits after cancer treatment is also provided to normalize parents’ experiences (eg, increased intake of junk foods and decreased intake of vegetables).

    Following our modifications, the parent guidebook was assessed for readability using the Flesch-Kincaid Grade Level Test [24], yielding a grade level test score of 7.6 or a seventh to eighth grade school level. In concordance with the Australian National Framework for Consumer Involvement in Cancer Control [25], parents of CCS (N=4) were involved in reviewing the guidebook and providing feedback prior to publication.

    Primary and Secondary Outcome Measures

    Demographic Information

    Information on parent sex, age, education and employment status will be collected at baseline (T1, see Figure 1) together with the sex and age of the CCS. A validated emotion thermometers tool will also be used to assess participant distress and emotional state at the start of each intervention session [26]. This tool individually screens for emotional upset, anxiety, depression, and anger by asking the participant to rate each emotion on a scale of 0-10 (where 0 is none and 10 is extreme), and the level of assistance required to manage these emotions [26]. A participant will be deemed “distressed” if they score above seven on any of the thermometers [20], requiring facilitators to enquire about the participants available psychological supports (eg, current psychologist, general practitioner [GP], or social worker), and, if needed, will provide information for appropriate services including a 24-hour crisis hotline. The chief investigator will be contacted, and a nominated health professional will be contacted with the participant’s consent if appropriate.

    Feasibility and Acceptability

    Feasibility will be assessed using several descriptive indices. These include the number of participants who complete all 5 intervention sessions (participation rate), average session length (minutes), and days between sessions. To evaluate the ease, usefulness, and impact of the intervention (see Textbox 1), participants will be invited to complete and online survey after the fourth intervention session (T2, Figure 1) to rate their agreement on several acceptability items using a 5-point Likert scale from strongly disagree to strongly agree (eg, “The Reboot program improved my knowledge about strategies for promoting fruits and vegetables to my child ”). Items from the task and goal subscales of the Validated Working Alliance Inventory were also included to evaluate participants perceptions of the facilitator (eg, competence) [27].

    Childhood Cancer Survivors Fruit and Vegetable Intake

    To measure CCS fruit and vegetable intake, participants will be invited to complete 2 validated dietary intake assessment methods at baseline (T1), after the fourth intervention session (T2) and 6 months after the fourth intervention session (T3) (see Figure 1). These measures will include the following aspects listed below.

    24-hour Dietary Recall

    A 24-hour dietary recall will be conducted by a registered dietitian via telephone [28] to obtain a list of everything the CCS ate and drank during the previous day. This information will be manually entered into FoodWorks 8, an Australian nutrient analysis software (Xyris, Brisbane, QLD, Australia), by a registered dietitian to produce a calculation of total daily fruit and total daily vegetable servings for each child [29]. Intake (total fruit and total vegetable servings consumed) will also be used to categorize CCS as meeting (or not meeting) the recommended daily intake for fruit and vegetables, separately, for their age.

    Food Frequency Questionnaire

    The fruit and vegetable subscales scores from the Australian Child and Adolescent Eating Survey, a brief (15 minutes) online FFQ, will be used to provide quantitative data on the number of daily fruit and vegetable serves for age and variety of fruit and vegetables consumed [30-32] where a higher fruit (out of 12) and vegetable variety score (out of 21) indicates greater intake of a variety of fruit and vegetables [33].

    Statistical Analyses

    Data will be analyzed using the Statistical Package for the Social Sciences, version 18.0 (SPSS Inc, Chicago, IL, USA). The primary outcome measure (number of participants who complete all 5 intervention sessions) will be analyzed using a repeated measures design. An 80% study compliance and 20% attrition rate [18] will be used as the benchmark for program feasibility. Cochran Q will be used to identify participants as meeting the specific study completion criterion. The secondary outcome measure is the difference in the mean number of fruit and vegetable serves consumed by CCS (on the previous day) from baseline to the end of the intervention (after the booster session). Paired t-tests will be conducted to determine whether there is a significant difference between the mean intakes of fruit and vegetable serves at baseline compared to the end of the intervention.


    Textbox 1. Postintervention Acceptability Items.
    View this box

    Results

    Initial planning for Reboot Kids began in 2015 via a collaboration with the developers of the ‘Good for kids: Healthy Habits program’ at the University of Newcastle [15]. Healthy Habits is an evidence-based fruit and vegetable program delivered to nearly 400 Australian families. With their consent, our team updated the original parent guidebook to include the most recent version of the Australian Dietary Guidelines and Nutrition Australia Healthy Eating Pyramid, and dietitian approved recipes. To promote immediate and long-lasting intervention changes, we also followed recommendations by the original developers to focus on parent providing of fruit and vegetables to CCS, which mediated the short-and-long-term effectiveness of the intervention [22]. We therefore modified the initial behavior change technique from parenting self-monitoring of CCS daily fruit and vegetable intake to occasions of parent providing of fruit and vegetables to CCS over three days (Table 1).

    Ethics approval was obtained on 11th November 2015 (HREC/15/SCHN/395) and recruitment commenced in August 2016. Of the 20 participants we aim to recruit, 7 have completed the intervention (including the booster session), 1 declined to participate after consenting, 2 participants dropped out after completing the first session, 8 are actively completing the intervention and 3 participants are providing consent. We aim to recruit the remaining participants via telephone follow-up calls and complete the intervention by July 2018.


    Discussion

    This paper outlines the protocol for a pre-post, parent-led behavioral nutrition intervention for CCS, previously evaluated in a non-cancer pediatric population [15,16]. Although interventions piloted in non-cancer pediatric populations have led to significant increases in child fruit and vegetable intake [16], there is no research on their effectiveness in this high-risk population of CCS [34]; highlighting the unique contribution of the Reboot program [35].

    We anticipate that the multimodal approach used in Reboot, encompassing a written parent guidebook and semi-structured telephone calls will contribute to the aim of the study. Telephone contact as the primary mode of intervention delivery can be efficacious [36], providing parents with support from a healthcare professional without requiring travel [12]. This flexibility is important in ensuring equitable access to families of CCS living in rural and regional areas [12]. Parents of CCS also report a preference for workbooks which provide relevant information about their children’s health after treatment [12].

    The number of intervention contacts is also known to moderate intervention effectiveness, with behavior change often requiring multiple points of contact [37]. Booster sessions are often recommended to reinforce or re-establish messages or behavior changes suggested during interventions [38]. Subsequently, we chose to modify the original intervention to include 1 booster session. However, there is no research on the impact of booster sessions in dietary interventions in CCS. Moreover, the effectiveness [38] and optimum timing [39] of booster sessions in the wider behavior change literature is also unclear [40]. Most studies suggest that booster sessions should be instituted within three months after the intervention is complete to maximize efficacy [38,39], supporting our design of a booster session at 6 weeks post-intervention.

    The Reboot study design has both strengths and limitations. As a pilot study, the small sample size will limit the ability to draw definitive conclusions regarding the efficacy of the intervention in increasing fruit and vegetable intake among CCS. The study will, however, be most useful in assessing the feasibility and acceptability of delivering a behavioral nutrition intervention in this population (Textbox 1). The inherent vulnerabilities of using parent-report as a proxy for child intake also warrants consideration [41]. A recent study indicated that repeated 24-hour recalls were a more valid measurement of dietary intake in CCS compared with FFQs, which underestimated energy intake [28]. However, due to the participant burden of multiple 24-hour recalls [42], we aimed to reduce potential bias in intake measurement by using a single 3-pass 24-hour recall and a validated, parent-administered online FFQ.

    The increasing use, and success, of technology-based, parent-led interventions in improving children’s fruit and vegetable intake [43] suggests that online or smart-phone delivered interventions may offer a cost-effective alternative to telephone-based behavior change support [44-46]. Alternatively, online or mobile phone interventions delivered together with minimal telephone support or text messaging, may also help to maintain important human interaction [47] whilst still reducing intervention delivery costs. Given the absence of evidence-based dietary interventions in CCS [48], experimentation with different modes of delivery is an important next step in identifying the most efficacious method for promoting healthy eating habits in this vulnerable population [47].

    Subsequently, a future goal of this pilot study is to utilize our feasibility and acceptability data to inform the development of a randomized control trial to evaluate the efficacy of delivering reboot online via web-based modules with brief telephone support (15 minutes) to reinforce key messages, on CCS dietary intake, compared with a wait-list control. If successful, data obtained from the RCT will be used to support the implementation of Reboot by community organizations across Australia, especially those in rural and remote areas, where CCS have poorer access to preventive health care [49].

    Acknowledgments

    The Reboot research program is funded by the Kids Cancer Alliance, The Cancer Institute NSW Sydney, Australia [Grant Number; 11/TRC/1-03]. This grant includes a PhD scholarship for LT. This project is also funded by a Cancer Council NSW Program Grant PG16-02 with the support of the Estate of Late Harry McPaul. The Behavioral Sciences Unit is proudly supported by the Kids Cancer Centre at the Sydney Children’s Hospital Randwick and the Kids with Cancer Foundation.

    The authors would like to acknowledge that the Reboot Kids program design was informed by the ‘Good for kids: Healthy Habits Program’ developed at the University of Newcastle by Dr Luke Wolfenden, Dr Rebecca Wyse and colleagues, in collaboration with the Hunter New England Population Health. The authors also wish to acknowledge the valuable support from Ms Mary Burns from the Behavioral Sciences Unit for her involvement in the initial development stages of the Reboot parent workbook, PG for her assistance with formatting of the manuscript and to consumer representatives for their invaluable feedback on the usefulness, ease of use, and appeal of the workbook (Barry Sharkey, Maria Messina and Carolyn Blakemore).

    Authors' Contributions

    LT contributed to research design and was responsible for manuscript writing. JC contributed to research design and manuscript edits. CW contributed to research design and manuscript edits. AG contributed to manuscript writing and manuscript edits. SG contributed to manuscript edits. RC contributed to manuscript edits. All authors are in agreement with the manuscript and declare that the content has not been published elsewhere.

    Conflicts of Interest

    The authors have no conflict of interests to declare.

    References

    1. de HEC, Oosting SF, Lefrandt JD, Wolffenbuttel BH, Sleijfer DT, Gietema JA. The metabolic syndrome in cancer survivors. Lancet Oncol 2010 Feb;11(2):193-203. [CrossRef] [Medline]
    2. Mulrooney DA, Yeazel MW, Kawashima T, Mertens AC, Mitby P, Stovall M, et al. Cardiac outcomes in a cohort of adult survivors of childhood and adolescent cancer: retrospective analysis of the Childhood Cancer Survivor Study cohort. BMJ 2009 Dec 08;339:b4606 [FREE Full text] [Medline]
    3. Rosen GP, Nguyen H, Shaibi GQ. Metabolic syndrome in pediatric cancer survivors: a mechanistic review. Pediatr Blood Cancer 2013 Dec;60(12):1922-1928. [CrossRef] [Medline]
    4. Smith WA, Li C, Nottage KA, Mulrooney DA, Armstrong GT, Lanctot JQ, et al. Lifestyle and metabolic syndrome in adult survivors of childhood cancer: a report from the St. Jude Lifetime Cohort Study. Cancer 2014 Sep 01;120(17):2742-2750 [FREE Full text] [CrossRef] [Medline]
    5. Mulhern RK, Tyc VL, Phipps S, Crom D, Barclay D, Greenwald C, et al. Health-related behaviors of survivors of childhood cancer. Med. Pediatr. Oncol 1995 Sep;25(3):159-165. [CrossRef]
    6. Nathan PC, Ford JS, Henderson TO, Hudson MM, Emmons KM, Casillas JN, et al. Health behaviors, medical care, and interventions to promote healthy living in the Childhood Cancer Survivor Study cohort. J Clin Oncol 2009 May 10;27(14):2363-2373 [FREE Full text] [CrossRef] [Medline]
    7. Demark-Wahnefried W, Werner C, Clipp EC, Guill AB, Bonner M, Jones LW, et al. Survivors of childhood cancer and their guardians. Cancer 2005 May 15;103(10):2171-2180 [FREE Full text] [CrossRef] [Medline]
    8. Robien K, Ness KK, Klesges LM, Baker KS, Gurney JG. Poor adherence to dietary guidelines among adult survivors of childhood acute lymphoblastic leukemia. J Pediatr Hematol Oncol 2008 Nov;30(11):815-822 [FREE Full text] [CrossRef] [Medline]
    9. Cohen J, Wakefield CE, Fleming CAK, Gawthorne R, Tapsell LC, Cohn RJ. Dietary intake after treatment in child cancer survivors. Pediatr Blood Cancer 2012 May;58(5):752-757. [CrossRef] [Medline]
    10. Cohen J, Wakefield CE, Tapsell LC, Walton K, Fleming CAK, Cohn RJ. Exploring the views of parents regarding dietary habits of their young cancer-surviving children. Support Care Cancer 2015 Feb;23(2):463-471. [CrossRef] [Medline]
    11. Stolley MR, Restrepo J, Sharp LK. Diet and physical activity in childhood cancer survivors: a review of the literature. Ann Behav Med 2010 Jun;39(3):232-249 [FREE Full text] [CrossRef] [Medline]
    12. Wakefield CE, Butow P, Fleming CAK, Daniel G, Cohn RJ. Family information needs at childhood cancer treatment completion. Pediatr Blood Cancer 2012 Apr;58(4):621-626. [CrossRef] [Medline]
    13. Keita AD, Risica PM, Drenner KL, Adams I, Gorham G, Gans KM. Feasibility and acceptability of an early childhood obesity prevention intervention: results from the healthy homes, healthy families pilot study. J Obes 2014;2014:378501 [FREE Full text] [CrossRef] [Medline]
    14. Horton LA, Parada H, Slymen DJ, Arredondo E, Ibarra L, Ayala GX. Targeting children's dietary behaviors in a family intervention: 'Entre familia: reflejos de salud'. Salud Publica Mex 2013;55 Suppl 3:397-405 [FREE Full text] [Medline]
    15. Wyse R, Wolfenden L, Campbell E, Campbell K, Brennan L, Fletcher A, et al. A pilot study of a telephone-based parental intervention to increase fruit and vegetable consumption in 3-5-year-old children. Public Health Nutr 2011 Dec;14(12):2245-2253. [CrossRef] [Medline]
    16. Wyse R, Wolfenden L, Campbell E, Campbell KJ, Wiggers J, Brennan L, et al. A cluster randomized controlled trial of a telephone-based parent intervention to increase preschoolers' fruit and vegetable consumption. Am J Clin Nutr 2012 Jul;96(1):102-110 [FREE Full text] [CrossRef] [Medline]
    17. McGowan L, Cooke LJ, Gardner B, Beeken RJ, Croker H, Wardle J. Healthy feeding habits: efficacy results from a cluster-randomized, controlled exploratory trial of a novel, habit-based intervention with parents. Am J Clin Nutr 2013 Sep;98(3):769-777. [CrossRef] [Medline]
    18. Karlson CW, Rapoff MA. Attrition in randomized controlled trials for pediatric chronic conditions. J Pediatr Psychol 2009 Aug;34(7):782-793 [FREE Full text] [CrossRef] [Medline]
    19. Cohen J, Wakefield CE, Fleming CAK, Gawthorne R, Tapsell LC, Cohn RJ. Dietary intake after treatment in child cancer survivors. Pediatr Blood Cancer 2012 May;58(5):752-757. [CrossRef] [Medline]
    20. Sansom-Daly UM, Wakefield CE, Bryant RA, Butow P, Sawyer S, Patterson P, et al. Online group-based cognitive-behavioural therapy for adolescents and young adults after cancer treatment: a multicenter randomised controlled trial of Recapture Life-AYA. BMC Cancer 2012;12:339 [FREE Full text] [CrossRef] [Medline]
    21. Golan M, Weizman A. Familial approach to the treatment of childhood obesity: conceptual mode. J Nutr Educ 2001;33(2):102-107. [Medline]
    22. Wyse R, Wolfenden L, Bisquera A. Characteristics of the home food environment that mediate immediate and sustained increases in child fruit and vegetable consumption: mediation analysis from the Healthy Habits cluster randomised controlled trial. Int J Behav Nutr Phys Act 2015 Sep 17;12:118 [FREE Full text] [CrossRef] [Medline]
    23. Vetsch J, Fardell JE, Wakefield CE, Signorelli C, Michel G, McLoone JK, ANZCHOG survivorship study group. “Forewarned and forearmed”: Long-term childhood cancer survivors' and parents' information needs and implications for survivorship models of care. Patient Educ Couns 2017 Feb;100(2):355-363. [CrossRef] [Medline]
    24. Kincaid J, Fishburne R, Rogers R, Chissom B. Defense Technical Information Center. Millington, Tennessee; 1975. Derivation of new readability formulas (automated readability index, fog count, and flesch reading ease formula) for Navy enlisted personnel   URL: http://www.dtic.mil/dtic/tr/fulltext/u2/a006655.pdf [accessed 2018-04-29] [WebCite Cache]
    25. Cancer Austrailia, Cancer Voices Austrailia. National Framework for Consumer Involvement in Cancer Control. Canberra, ACT: Cancer Australia; 2011.   URL: https:/​/canceraustralia.​gov.au/​sites/​default/​files/​publications/​national_consumer_framework_web_504af020f2184.​pdf [accessed 2018-04-29] [WebCite Cache]
    26. Mitchell AJ. Pooled results from 38 analyses of the accuracy of distress thermometer and other ultra-short methods of detecting cancer-related mood disorders. J Clin Oncol 2007 Oct 10;25(29):4670-4681 [FREE Full text] [CrossRef] [Medline]
    27. Hatcher RL, Gillaspy JA. Development and validation of a revised short version of the working alliance inventory. Psychotherapy Research 2006 Jan;16(1):12-25. [CrossRef]
    28. Zhang FF, Roberts SB, Must A, Wong WW, Gilhooly CH, Kelly MJ, et al. Assessing Dietary Intake in Childhood Cancer Survivors: Food Frequency Questionnaire Versus 24-Hour Diet Recalls. J Pediatr Gastroenterol Nutr 2015 Oct;61(4):499-502 [FREE Full text] [CrossRef] [Medline]
    29. McPherson R, Hoelscher DM, Alexander M, Scanlon KS, Serdula MK. Dietary Assessment Methods among School-Aged Children: Validity and Reliability. Preventive Medicine 2000 Aug;31(2):S11-S33. [CrossRef]
    30. Watson JF, Collins CE, Sibbritt DW, Dibley MJ, Garg ML. Reproducibility and comparative validity of a food frequency questionnaire for Australian children and adolescents. Int J Behav Nutr Phys Act 2009 Sep 11;6:62 [FREE Full text] [CrossRef] [Medline]
    31. Burrows T, Berthon B, Garg ML, Collins CE. A comparative validation of a child food frequency questionnaire using red blood cell membrane fatty acids. Eur J Clin Nutr 2012 Jul;66(7):825-829. [CrossRef] [Medline]
    32. Burrows TL, Warren JM, Colyvas K, Garg ML, Collins CE. Validation of overweight children's fruit and vegetable intake using plasma carotenoids. Obesity (Silver Spring) 2009 Jan;17(1):162-168 [FREE Full text] [CrossRef] [Medline]
    33. Burrows TL, Collins K, Watson J, Guest M, Boggess MM, Neve M, et al. Validity of the Australian Recommended Food Score as a diet quality index for Pre-schoolers. Nutr J 2014 Sep 02;13:87 [FREE Full text] [CrossRef] [Medline]
    34. Pugh G, Gravestock HL, Hough RE, King WM, Wardle J, Fisher A. Health Behavior Change Interventions for Teenage and Young Adult Cancer Survivors: A Systematic Review. J Adolesc Young Adult Oncol 2016 Jun;5(2):91-105. [CrossRef] [Medline]
    35. Cohen JE, Wakefield CE, Cohn RJ. Nutritional interventions for survivors of childhood cancer. Cochrane Database Syst Rev 2016 Aug 22(8):CD009678. [CrossRef] [Medline]
    36. Eakin EG, Lawler SP, Vandelanotte C, Owen N. Telephone interventions for physical activity and dietary behavior change: a systematic review. Am J Prev Med 2007 May;32(5):419-434. [CrossRef] [Medline]
    37. Noar SM, Benac CN, Harris MS. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 2007 Jul;133(4):673-693. [CrossRef] [Medline]
    38. Whisman MA. The efficacy of booster maintenance sessions in behavior therapy: Review and methodological critique. Clinical Psychology Review 1990 Jan;10(2):155-170. [CrossRef]
    39. Hennessy M, Bolan GA, Hoxworth T, Iatesta M, Rhodes F, Zenilman JM. Using growth curves to determine the timing of booster sessions. Structural Equation Modeling: A Multidisciplinary Journal 1999 Jan;6(4):322-342. [CrossRef] [Medline]
    40. Eyberg S, Edwards D, Boggs S, Foote R. Maintaining the Treatment Effects of Parent Training: The Role of Booster Sessions and Other Maintenance Strategies. Clinical Psychologycience and Practice Jan; doi 10.1111/j.14682850.tb00173.x 1998;5(4):544-554. [CrossRef]
    41. Livingstone MBE, Robson PJ, Wallace JMW. Issues in dietary intake assessment of children and adolescents. Br J Nutr 2004 Oct;92 Suppl 2:S213-S222. [Medline]
    42. Burrows TL, Martin RJ, Collins CE. A systematic review of the validity of dietary assessment methods in children when compared with the method of doubly labeled water. J Am Diet Assoc 2010 Oct;110(10):1501-1510. [CrossRef] [Medline]
    43. Touyz LM, Wakefield CE, Grech AM, Quinn VF, Costa DSJ, Zhang FF, et al. Parent-targeted home-based interventions for increasing fruit and vegetable intake in children: a systematic review and meta-analysis. Nutr Rev 2018 Mar 01;76(3):154-173. [CrossRef] [Medline]
    44. Coughlin S, Thind H, Liu B, Champagne N, Jacobs M, Massey RI. Mobile Phone Apps for Preventing Cancer Through Educational and Behavioral Interventions: State of the Art and Remaining Challenges. JMIR Mhealth Uhealth 2016 May 30;4(2):e69 [FREE Full text] [CrossRef] [Medline]
    45. Dute DJ, Bemelmans WJE, Breda J. Using Mobile Apps to Promote a Healthy Lifestyle Among Adolescents and Students: A Review of the Theoretical Basis and Lessons Learned. JMIR Mhealth Uhealth 2016 May 05;4(2):e39 [FREE Full text] [CrossRef] [Medline]
    46. West JH, Belvedere LM, Andreasen R, Frandsen C, Hall PC, Crookston BT. Controlling Your “App”etite: How Diet and Nutrition-Related Mobile Apps Lead to Behavior Change. JMIR Mhealth Uhealth 2017 Jul 10;5(7):e95 [FREE Full text] [CrossRef] [Medline]
    47. Brier MJ, Schwartz LA, Kazak AE. Psychosocial, health-promotion, and neurocognitive interventions for survivors of childhood cancer: a systematic review. Health Psychol 2015 Feb;34(2):130-148. [CrossRef] [Medline]
    48. Kopp LM, Gastelum Z, Guerrero CH, Howe CL, Hingorani P, Hingle M. Lifestyle behavior interventions delivered using technology in childhood, adolescent, and young adult cancer survivors: A systematic review. Pediatr Blood Cancer 2017 Jan;64(1):13-17. [CrossRef] [Medline]
    49. Daniel G, Wakefield CE, Ryan B, Fleming CA, Levett N, Cohn RJ. Accommodation in pediatric oncology: parental experiences, preferences and unmet needs. Rural Remote Health 2013;13(2):2005 [FREE Full text] [Medline]


    Abbreviations

    CCS: childhood cancer survivors
    FFQ: food frequency questionnaire
    RCT: randomized controlled trial
    SCH: Sydney Children’s Hospital, Randwick


    Edited by G Eysenbach; submitted 24.10.17; peer-reviewed by K Ferrini, BT Joyce, A Lucas; comments to author 15.02.18; revised version received 03.04.18; accepted 04.04.18; published 16.05.18

    ©Lauren Touyz, Jennifer Cohen, Claire Wakefield, Allison Grech, Sarah Garnett, Paayal Gohil, Richard Cohn. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 16.05.2018.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.