Published on 21.11.12 in Vol 1, No 2 (2012): Jul-Dec
A Serious Video Game to Increase Fruit and Vegetable Consumption Among Elementary Aged Youth (Squire’s Quest! II): Rationale, Design, and Methods
Background: Youths eat fewer fruits and vegetables than recommended. Effective methods are needed to increase and maintain their fruit and vegetable consumption. Goal setting has been an effective behavior change procedure among adults, but has had limited effectiveness among youths. Implementation intentions are specific plans to facilitate goal attainment. Redefining goal setting to include implementation intentions may be an effective way to increase effectiveness. Video games offer a controlled venue for conducting behavioral research and testing hypotheses to identify mechanisms of effect.
Objective: This report describes the protocol that guided the design and evaluation of Squire’s Quest! II, a video game aimed to increase child fruit and vegetable consumption.
Methods: Squire’s Quest! II is a 10-episode videogame promoting fruit and vegetable consumption to 4th and 5th grade children (approximately 9-11 year old youths). A four group randomized design (n=400 parent/child dyads) was used to systematically test the effect of two types of implementation intentions (action, coping) on fruit and vegetable goal attainment and consumption of 4th and 5th graders. Data collection occurred at baseline, immediately post game-play, and 3 months later. Child was the unit of assignment. Three dietary recalls were collected at each data collection period by trained interviewers using the Nutrient Data System for Research (NDSR 2009). Psychosocial and process data were also collected.
Results: To our knowledge, this is the first research to explore the effect of implementation intentions on child fruit and vegetable goal attainment and consumption.
Conclusions: This intervention will contribute valuable information regarding whether implementation intentions are effective with elementary age children.
Trial Registration: ClinicalTrials.gov NCT01004094
JMIR Res Protoc 2012;1(2):e19
- video game, nutrition, fruit, vegetable, children, intervention, action implementation intention, coping implementation intention, goal setting
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Consuming adequate amounts of fruit and vegetables (FV) is part of a healthy lifestyle  and has been associated with decreased risk of chronic diseases such as certain cancers, cardiovascular disease, stroke, and diabetes [ ]. National guidelines recommend that 9-13 year old youths consume 7-11 servings of FV each day, based on calorie needs [ ]. However, less than 4% of children meet the minimum guideline, and fewer than 20% consume at least five servings each day [ ]. Since adolescent dietary behaviors track into young adulthood [ ], increasing and maintaining youths’ FV consumption prior to adolescence could have substantial and sustained public health significance.
Video games are popular among youths . Many youths have ready-access to cell phones, game consoles, and computers on which video games can be played [ ]. High-speed home Internet access has increased among households with youths [ ]. Therefore, online video games may be a familiar and convenient method to reach youths with health-enhancing programs. They also offer a mechanism for ensuring consistent intervention delivery, thus controlling for potential lack of fidelity to standardized content and implementation procedures potentially introduced by live instructors [ ].
Serious video games, ie, video games designed to entertain as well as achieve change of some type , is an emerging genre [ ], with some reported success at changing health behaviors [ ]. Squire’s Quest! increased FV consumption among 4th grade children [ ]; however post-study consumption was still well-below recommended levels, suggesting additional investigation was needed. Secondary analyses revealed that goal setting was weakly related to goal attainment and FV consumption [ ], suggesting that enhancing the goal setting component of Squire’s Quest! may offer a mechanism to further enhance participants’ FV consumption.
Implementation intentions are specific plans that identify how to achieve a goal . They can take two forms: (1) action intentions, a specific plan of how a goal will be attained (ie, what, when, who), and (2) coping intentions, an if/then plan that identifies what solution an individual will enact if a specific obstacle or problem is encountered [ ]. When forming an implementation intention, an individual determines in advance how to meet a goal by examining possible situations and selecting the ones most likely to lead to goal attainment [ ]. Environmental cues rather than conscious thought trigger a goal-directed response, thereby automating behavior and increasing the likelihood the goal will be attained [ ]. Implementation intentions have enhanced goal attainment across a variety of adult health behaviors [ - ]. There is some evidence they may be effective with youths - ie, adolescents who formed implementation intentions prior to initiating an academic goal were more likely to achieve the goal than adolescents who did not form an implementation intention [ ].
Long-term behavior change is the ultimate goal for behavioral interventions . However, little research has specifically addressed the issue of maintaining dietary behavior change [ ]. While some dietary change interventions have occurred over a two-year period [ ], no conceptual distinction was made between initiation and maintenance of change. Desired changes in targeted dietary behavior in the intervention group relative to the control group have shown mixed effects [ ]. Among adults, outcome expectancy was conceptualized to be related to behavior initiation, while perceived satisfaction with behavioral change was conceptualized to be associated with maintenance [ ]. Satisfaction is a continual assessment of whether the “benefits” of change were worth the effort to make and/or continue the change. Since high expectations may be more likely to lead to dissatisfaction, high outcome expectancies were hypothesized to be associated with greater behavioral initiation, but lower maintenance, while more modest expectations, were hypothesized to be associated with lower behavioral initiation, but greater maintenance [ ].
Squire’s Quest! II: Saving the Kingdom of Fivealot (SQ!2) is a 10-episode online video game designed to increase FV consumption among 4th and 5th grade children (roughly 9-11 year old youths). It is an updated and enhanced version of an earlier video game, Squire’s Quest!, evaluated in 1999 and 2000 . SQ!2 was supported by a parent component which included electronic newsletters and access to a parent-only website. The primary aim of SQ!2 was to test the effect of implementation intentions on FV goal attainment and consumption in pre-adolescents. An exploratory aim was to examine factors associated with maintenance of consumption. The protocol was approved by the institutional review board of the Baylor College of Medicine (H-18488) and registered with ClinicalTrials.gov (NCT01004094). This report describes the study protocol that guided the design and evaluation of the SQ!2 randomized controlled trial.
This evaluation used a four-group, randomized design, with three data collection periods (baseline, post 1, post 2). Following baseline assessment, children were randomized to one of four groups: goal setting only (simple), goal setting + action intentions (action), goal setting + coping intentions (coping), or goal setting + action and coping intentions (both). Youths had up to three months to play all 10 episodes of the video game, where the appropriate goal-setting/implementation intentions were embedded in four versions of the game. Post 1 data collection occurred immediately upon completion of the 10 episodes or approximately 3 months after beginning game-play, whichever occurred first. Post 2 data collection occurred approximately 3 months after post 1 (). The study was conducted from November 2009 through March 2011.
Eligibility criteria for participants included: (1) a child in the 4th or 5th grade at time of enrollment, (2) fluent in English, (3) had access to a computer with high speed Internet, and (4) had a parent (or legal guardian) fluent in English or Spanish who was willing to participate in the study. Recruitment methods included standard procedures (ie, flyers and attendance at community events) and the volunteer database at the Children’s Nutrition Research Center. Prior to participation, eligible parents and children provided written informed consent and child assent. The child was the unit of randomization.
Sample Size and Power
Sample size requirements were based on a power analysis (the number of participants needed to find an actual group difference) with FV as the primary outcome variable. A repeated measures analyses of variance with a 4-group design and 3-measurment periods was assumed. Allowing for a 30% attrition rate, a sample of 400 parent/child dyads (100 per group) provided adequate power (>80%) to detect a small effect size (ES=0.17) using a standard deviation of 1.5 from the original Squire’s Quest! and a two-sided alternative with type I error rate of 0.05. This effect size (ES=0.17) translates to a detectable 0.51 or greater serving (ie, a half of a serving per day) group difference.
Four hundred multi-ethnic parent/child dyads were enrolled in the study. Fifty three percent of children were girls, while 47% were boys; racial/ethnic distribution was 37% White, 27% Hispanic, 26% Black, and 10% Other. Most parents were female (96%), and parent racial/ethnic distribution was similar to that of the children (41% White; 26% Hispanic; 26% Black; 7% Other).
Parents and children participated in separate intervention and data collection activities electronically (Internet or telephone) from locations of their choice (home or community). There were no face-to-face sessions.
The intervention had both child and parent components. The child played a 10-episode online video game, while the parent received electronic newsletters and access to a parent website which was updated with new information10 times, corresponding to the 10-episode video game. The intervention was guided by a theoretical framework that incorporated social cognitive (behavioral and environmental factors) , self determination (motivation) [ ], the elaboration likelihood model (information processing) [ ], behavioral inoculation (resistance to temptation) [ ], and maintenance theories (long-term behavior change) [ ]. The conceptual model that guided the intervention is presented in . It provides an overview of how the intervention promotes short and long term FV consumption. The story, characters, and game mechanics (eg, interactivity) promote immersion, which increases exposure to the behavior change components (ie, program dose). Setting a goal and/or creating an implementation intention, developing core knowledge and skills, and engaging in key behavioral procedures (eg, schemas, decision making, resisting temptation, motivation, and character modeling) contribute to FV self efficacy and outcome expectations. FV self efficacy and outcome expectations influence short and long term FV consumption (maintenance). Outcome expectations also influence satisfaction, which influences long term consumption. In addition, the parent component (newsletters, website), coupled with child asking behaviors and recipe preparation, influence parent involvement; parent involvement, FV tasting, and FV preferences influence FV home availability and accessibility and short and long-term FV consumption.
Child Component: Video Game
Multi-ethnic 4th and 5th grade children provided information for the development and initial testing of the video game. Children (n=15) provided feedback on behavior change components, the storyline, and the characters. Children (n=10) also participated in alpha and beta testing sessions. An experienced 4th grade teacher reviewed materials to assess developmental appropriateness and comprehension of key components. Children and their parents (n=20 dyads) also participated in a pilot study, which served as a final test for the intervention components, procedures, and data collection activities of the video game.
The story, written by a professional writer, was designed to appeal to 4th and 5th grade youths (ie, humor appropriate for children). It integrated the behavior change components into the action, which, in turn, advanced the storyline. The “backstory” (ie, the history) provided context for the storyline.
The medieval kingdom of Fivealot is a happy one; its prosperity is based on ancient knowledge of healthy nutrition and an abundance of good food, under the gentle guidance of King Brocwell and Queen Nutritia. Recently, Fivealot entered a truce with their underground-dwelling enemy, the Mog – or so they thought.
A nation of subterranean serpents and myopic moles, the Mog were jealous of Fivealot’s good fortune. Although Brocwell and Nutritia had offered to share their country’s bounty, the Mog who were raised on a diet of sweets and fried foods, stubbornly refused to change their ways. The Mog King Snake, Sssynster, instead insisted that Fivealot change their habits – and the struggle was on.
Discovering that their army of fattened moles and slovenly snakes were no match for the energetic knights of Fivealot, Sssynster withdrew, realizing he could never best Brocwell and Nutritia in open conflict. His best hope was treachery.
The King and Queen of Fivealot’s Head Chef, Supremo, was preparing to go to market one day. With the truce in effect, he suspected nothing – certainly not the tunnel dug into his kitchen by the Mog. Unbeknownst to Brocwell and Nutritia, Supremo simply disappeared, spirited away to the land of Mog.
Then came the second part of Sssynster’s plan: a double agent, Moledred, had been placed on the kitchen staff, waiting for the opportunity to advance to the Head of the Kitchen. With the majority of knights away spreading the bounty of Fivealot, Moldred’s mission was to prepare his specialty - fattening, unhealthy meals - for the King and Queen, and thus bring the kingdom to ruin. But what Sssynster and Moledred had not counted on was a Squire answering the King and Queen’s call for brave young men and women to train in the ways of Fivealot and become knights themselves. A Squire…like you.
To become a knight, the Squire had to acquire the coveted knowledge and skills of the Fivealot Knights. This is where the game began. In the quest for knighthood, the Squire had to overcome challenges. The challenges involved attaining “real world” FV consumption and recipe goals. As the Squire (ie, the participant) met their challenges, they earned badges and progressed in their journey towards knighthood. Because children typically consume well below the recommended level of daily FV , promoting a more modest goal appeared prudent; therefore, the goal promoted in the game was to ultimately consume at least 5 daily servings of FV.
The protagonists included six characters that were “human” in appearance (King Brocwell; Queen Nutritia; Merlin the Wizard; Knights Alex and Julie; Chef Supremo) and a robot (M.I.C.H.A.E.L.), who assisted with kitchen tasks. The antagonists were snakes (King Sssynster, a cobra; the snake army) and moles (Moledred, the imposter chef) ().
Game Content and Structure
The genre was action adventure. The game contents and flow diagram (ie, the video game structure) are presented inand are briefly described below.
Players were assigned a unique username and password with which to login to the game. After completing baseline data collection, players were randomly assigned to one of four versions of the game. Their username automatically routed them to their assigned version. The only differences between the groups were the implementation intentions described in the goal review and goal setting sections below.
Goal Review and Problem Solving
Goal review appeared in episodes 2-10. It occurred at the beginning of each episode and was led by the Wizard. Players reported whether they met the two types of goals set during the previous episode: a FV consumption goal and a FV recipe preparation goal. In the video game, goals were referred to as challenges to be consistent with the “quest” towards knighthood. Players in one of the three groups that created an implementation intention reported whether they followed it. Players, regardless of group assignment, also reported whether they used the skills learned in the video game (ie, self monitoring, problem solving, and asking/negotiation) to help them meet their goals. For each unmet goal, the player participated in a problem solving sequence to identify the problem that kept them from meeting their goal. Players received feedback statements (tailored to their level of success in meeting their goals and/or whether they used skills to help them meet their goals). Players were then asked whether the effort they put into eating FV was worth it (an assessment of satisfaction). To reinforce goal commitment, they were then encouraged to type in a positive self statement (eg, “Setting and meeting my challenges shows I’ve got what it takes to be a winner!”) and read it out loud with conviction.
Badges were awarded in episodes 2 - 10 for meeting the goals set in the previous episode. Players could earn up to two badges each episode, one for meeting the FV goal and one for meeting the FV recipe goal. Total number of badges earned determined level of knighthood. There were five levels, ranging from the lowly Honorary Knight to the coveted Platinum Knight. Badges appeared on the player’s coat of arms (or shield) displayed in the castle foyer ().
The cut scenes were animated video clips that presented the story. The story was told from the second person perspective. The cut scenes provided an opportunity for the characters to serve as role models through dialogue and action. To make the player feel “part of the action”, the characters “spoke” to the player by referring to him/her as “Squire”.
Knowledge + Mini-Game
This component appeared in episodes 1 - 10. It presented basic knowledge  about fruit, 100% juices, and vegetables ( ) and then reviewed, refined, and reinforced it in a timed “mini-game” ( ). The knowledge provided information the player needed to successfully complete the episode. Mini-games ( ) contained progressively more difficult levels to promote mastery learning [ ]. Game characters led this component.
|1||100% fruit juices vs imposters; juice portion size|
|2||Real fruit vs fruit imposters|
|3||Real vegetables vs vegetable imposters|
|5||Reinforcing portion size; memory joggers (eg, baseball, tennis ball)|
|6||FV for breakfast; breakfast on the go|
|7||FV in fast food restaurants|
|8||FV vs non-FV|
|9||Identifying number of FV in recipes|
|1||100% Fruit Juice||The player creates chains by linking together 100% juices, 100% juice blends, or Not Juices.|
|2||Find the Fruit||From the various foods floating in the bubbles, the player must pop the bubbles with the fruits. The player must also identify fruit imposters – ie, high fat items containing some or no fruit.|
|3||Find the Veggies||From the various foods floating in the bubbles, the player must pop the bubbles with the veggies. The player must also identify veggie imposters – ie, high fat items containing some or no veggies.|
|4||Lunch-a-Bunch||The player must add fruit and vegetable items to the passing lunch trays to create lunches with 2 servings of fruit and/or vegetables.|
|5||The Mole Pole 1||A trivia game which tests the player’s knowledge of the information presented this episode; each correct answer allows them to progress through a tunnel. The goal is to exit the tunnel and get past the moles that guard it.|
|6||Breakfast Blunder||The player must add possible breakfast fruit and vegetable items to the food trays to create a breakfast with 2 servings of fruit and vegetables.|
|7||Fast Food Frenzy||The player must find possible fruit and vegetable choices on the menus of 3 different types of restaurants.|
|8||The Good Stuff||From the various foods floating in the bubbles, the player must pop the bubbles with fruit and vegetables.|
|9||The Mole Pole 2||A trivia game which tests the player’s knowledge of the information presented this episode; each correct answer allows them to progress through a tunnel. The goal is to exit the tunnel and get past the moles that guard it.|
|10||The Mole Pole Review||This trivia game is structured similarly to the others; the difference is it tests knowledge presented from all previous episodes.|
Decision making, led by the Wizard, occurred in episodes 1 - 10. In episode 1, players selected their top three personal values; for each value, they then selected “reason statements” that linked meeting their FV goals with each personal value they selected . For example, if a player chose “being successful” as one of their personal values, they were presented with the following reason statements: “Meeting my FV challenge” (ie, FV goal); “shows I can meet my challenges”; “shows I can make hard decisions and stick to them”; and “shows I work hard for what I want”. Each episode, the Wizard identified their goal (ie, challenge) (eg, “to eat fruit for snack”), then asked: “Which of these is a good reason to [insert challenge]?” The three values and corresponding reason statements the player selected in episode 1 were then presented for selection. This component was guided by Self Determination Theory, particularly the basic psychological need of “relatedness” - ie, one’s sense of connection [ ].
Goal setting, led by the Wizard, appeared in each episode. This component was tailored and interactive. In episode 1, players selected their favorite FV. In each episode, they were then presented with their favorite FV and decided which ones to use to meet their goal; they also selected the day(s) they would meet their goal. The FV goals became more difficult as the game progressed (). The groups varied only on whether they created an implementation intention during goal setting (eg, group 1 created no implementation intentions; group 2 created action intentions; group 3 created coping intentions; group 4 created both action and coping intentions).
Led by King Brocwell (the Good Guy) and King Sssynster (the Bad Guy), this component strengthened the player’s resistance to potential temptations . King Brocwell supported the player’s decision to meet their goal and identified a potential temptation (ie, friends). King Sssynster then tried to tempt the player to not achieve their goal. King Brocwell refuted the temptation by reminding the player why meeting the goal was important to them (ie, the value-reason statement they selected in decision making).
This component appeared in episodes 1 – 4 to teach self-regulatory skills (ie, self monitoring, problem solving, asking/negotiation). This component was led by the game characters. Skills were taught through character modeling and dialogue.
Schemas are guides for complex behavior [- ]. In the video game, schemas were presented in episodes 5 - 8 to demonstrate various ways in which to consume 5 servings of FV a day. In these episodes, characters (Knights Julie and Alex, King, Queen, Wizard) each presented their schema ( ) then created a sample menu to demonstrate how they used it to plan their meals/snacks each day. The character then asked the player to locate the FV in the sample menu.
The virtual kitchen appeared in all ten episodes. It taught food preparation skills, planning, sequencing, and kitchen safety and promoted parent involvement. This component was interactive and included pre-steps involved in recipe preparation (ie, asking for permission, washing hands, etc) as well as a “virtual preparation” of the recipe (ie, a video clip that demonstrated how to prepare the recipe). With the exception of episode 1, players had a choice of recipes to prepare (). Recipes were selected from the Knight-in-Training cookbook. The robot, M.I.CH.A.E.L., guided the player through the Virtual Kitchen. At the end of this component, the player selected one of the recipes presented in each episode and set a goal to make the recipe at home.
|Episode||Recipe Type||Recipe 1||Recipe 2||Recipe 3|
|1||Juice||Razzle Dazzle Juicy Delight||n/a||n/a|
|2||Fruit||On-the-Run Trail Mix||Fantastic Fruit & Chocolate||n/a|
|3||Vegetable||Fiery’s Black Bean Burrito||M.I.C.H.A.E.L.’S Veggie Wrap||n/a|
|4||Fruit & Vegetable||Fivealot’s Famous Fruit Salad||Knight Brocwell’s Stuffed Potatoes||n/a|
|5||Vegetable||Knight Julie’s Veggie Snack||Fiery’s Bean Dip||n/a|
|6||Fruit||Royal Smoothie||Squire’s Strawberry Split||n/a|
|7||Fruit & Vegetable||Power Pudding Dip||Wizard’s Magic Pocket||n/a|
|8||Fruit & Vegetable||Celebration Sundae||Chef Supremo’s Cinnamon Carrots||n/a|
|9||Fruit & Vegetable||Queen Nutritia’s Dip||Platinum Sweet Potatoes||n/a|
|10||Fruit & Vegetable||Knight Alex’s Banana Pops||Golden Knight Burrito||Moledred’s Ice Pops|
The parent component consisted of newsletters and access to a parent website. Each is briefly described below.
Parent newsletters were designed to promote parent involvement (). There were ten newsletters – one matched to each episode of the video game. Newsletters were emailed to parents prior to each episode of the video game. Each newsletter identified the child’s general FV and recipe goals for the upcoming episode and provided tips for what the parent could do to help their child meet their goals. Each newsletter also identified vocabulary words (ie, words used in video game with which the child may not be familiar, such as “ingredients”) and provided healthy FV recipes and suggestions for overcoming common FV problems families face when attempting to eat FV ( ).
|1||100% Fruit Juice||Peach Cobbler|
|2||Added Sugar in Fruits||Strawberry Shortcake|
|3||Vegetables||Black Bean Soup|
|4||Fruit and Vegetable Substitutions||Vegetable Lasagna|
|5||Serving Size Review||Tomato and Bean Dip|
|6||Vegetables for Breakfast||Breakfast Potatoes|
|7||Eating Out||Hearty Rice|
|8||Empty Calories||Round Table Pizza|
|9||Serving Size Comparisons||Vegetable Soup|
|10||Final Tips||Blueberry Dessert Cups|
The parent website provided information to create a healthy home nutrition and activity environment. It included family-friendly recipes and addressed topics such as grocery shopping, eating on the go, and getting the family involved in physical activity. Information was routinely updated (ie, ten updates corresponding to the ten-episode video game) ().
|1||Shopping Lists & A Well-Stocked Kitchen||Baked apples, cinnamon roasted sweet potatoes, spinach and strawberry salad|
|2||Getting Kids Involved in the Kitchen||Vegetable pasta, baked bananas, veggie grilled cheese|
|3||Family Meals||Spanish paella, gazpacho, and strawberry flurry|
|4||Family Activity Time||Bran muffins, vegetable omelet, fruit parfait|
|5||Buying & Storing Food||Chicken salad sandwich|
|6||Food & Kitchen Safety||Veggie couscous, turkey, light fish, pineapple orange frozen yogurt|
|7||Nutrition Facts Labels||Slow cooker chicken, three bean chili, tossed salad, potato bake|
|8||Portion Control||Layered salad, brown rice casserole, fruit salad, and chocolate berry cake|
|9||Eating on the Go||Fruit and nut mix, hummus with veggies, chicken salad sandwich|
|10||Substitutions||Broccoli mac-and-cheese, baked chicken nuggets, black bean brownies, pineapple angel food cake|
When children were eligible to play the next episode of the video game, an email with a link to the login page was automatically generated and sent to them. Simultaneously, parents received emails with links to the online newsletters and the parent website. An access database tracked participants (parents, children) through the program. Alerts notified the research team when parents and children were eligible to receive the next intervention component (ie, next game episode; next newsletter) and when they were eligible for data collection. The video game was programmed to notify the intervention staff when the child completed an episode, and emails were automatically generated when a parent opened the newsletter email or when the parent website was accessed. If the child did not log on to play the next episode of the game within approximately five days, they were contacted by the intervention staff. The intervention research team was available by email or phone to provide technical assistance. As part of process evaluation, all participant contacts were recorded in the access database.
To assess usual dietary intake, three unannounced 24-hour dietary recalls were obtained at each data collection period using the Nutrient Data System for Research (NDSR-2009), University of Minnesota . The 24-hour dietary recalls were conducted directly with the child; two weekday and one weekend day recalls were obtained using a laptop computer, NDSR-2009 software [ ], and 2-dimensional food and measurement models. A paper copy of the models was given to the family for use in the telephone interviews. The child was asked where each meal/snack was eaten, who else was present, whether a TV was on, and whether they watched TV during the meal. The dietary recalls were analyzed for servings of FV [ ].
Child psychosocial characteristics (FV preferences , asking behaviors [ ], self efficacy [ ], and outcome expectancies [ ]) were collected using existing measures, some of which were adapted for this study. Using the work of Rothman [ ] and Green and Brock [ ] respectively, child satisfaction and game immersion were assessed using scales developed for this study. Social desirability [ - ] was also collected to control for potential bias in self report data. Brief, semi-structured interviews were conducted with children to further assess their reactions to the game. Parents provided self report data (parent FV consumption [ ], home FV availability [ ], home FV accessibility [ , ], family barriers to eating FV [ ], parent self efficacy to get their family to eat FV [ ], child FV asking behaviors [ ], and child executive function [ ]). In addition, they provided demographic information at baseline. Self-report data were collected online over a secure, password protected website. Parents and children were each provided unique passwords with which to log on to the data collection website.
Following the framework of Baranowski and Jago , process data were collected through staff logs, as children navigated the game, and as parents accessed the parent components. Examples of process data included: recruitment of participants, maintenance of participation, implementation (fidelity and extent), implementation barriers, program exposure, initial use of program, continued use of the program, and contamination. Implementation and exposure assessments were documented using electronic logon records. Game-play data ( ) were collected as children played each episode (eg, logons, goals set, goals attained, values and reasons, number of badges, recipes selected, action intentions, coping intentions). Email open rate (parent newsletters) and visits to the parent website were also collected. Self-report appeal and use of intervention components were collected from children and parents at post 1 data collection ( ).
|Who||How||What||Baseline||During||Post 1a||Post 2b|
|Child||Phone||FV intake (3, 24hr DR c)||x||x||x|
|FV Asking Behaviors||x||x||x|
|FV Self Efficacy||x||x||x|
|FV Outcome Expectations||x||x||x|
|Satisfaction With Change||x||x||x|
|Responses/Choices (ie, goals set/attained, values/reasons, etc)||x|
|Parent||Online||FV Intake (self)||x||x||x|
|Home FV Availability||x||x||x|
|Home FV Accessibility||x||x||x|
|Child Asking Behaviors||x||x||x|
|Child Executive Function||x||x||x|
|Email Open Rate||x|
a3 months after baseline assessment
b6 months after baseline assessment
Repeated measures analyses of variance/covariance, controlling for key demographic factors, baseline FV consumption, and energy intake, accommodated a two-level within factor (post 1, post 2) and a four-level between-groups factor design. The group’s main effect allowed investigation of group differences, regardless of whether it was post 1 or post 2. The group-by-time interaction term allowed investigation of group differences over time, thus identifying if the treatment was maintained. Univariate outcomes (the number of goals achieved, number of newsletters read, etc) were analyzed using a univariate one between-group factor design. Secondary analyses included investigation of trends in goal attainment, FV consumption, and psychosocial factors across study weeks through the use of Chi-square analyses for ordinal repeated measures. A dose-response analysis was also planned.
This report provides a description of the protocol, procedures, and assessment tools for a video game designed to increase FV consumption among children. This research has several strengths. First, it is based on an earlier video game that successfully increased FV consumption in 4th grade children ; it was designed within a multi-theoretical framework; and it systematically varies only one component, implementation intentions. Strengths also include a large sample size, a focus on both parents and children, and examination of maintenance effects. Finally, it uses a strong measure of dietary data collection (3, 24 hour dietary recalls at each data collection period). However, this study is conducted in one specific geographic region, thus limiting its generalizability.
To our knowledge, this is the first study to test the effect of implementation intentions on FV goal attainment and consumption and to examine the relationship between satisfaction and maintenance of behavior change in pre-adolescents. The intervention includes a parent and child component designed within an integrated theoretical framework to maximize the likelihood of behavior change. The successful implementation of this intervention will generate valuable information regarding the effectiveness of this approach for young children.
This work is a publication of the United States Department of Agriculture/Agricultural Research Center (USDA/ARS), Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas. This project was supported by the National Institutes of Health, National Institute of Child Health & Human Development grant #HD050595 (to Dr. Thompson). This work is also a publication of the USDA/ARS, Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, Texas, and funded in part with federal funds from the USDA/ARS under Cooperative Agreement No. 58-6250-0-008. The contents of this publication do not necessarily reflect the views or policies of the USDA, nor does mention of trade names, commercial products, or organizations imply endorsement from the U.S. government. We would like to thank the youth and expert panel members who participated in this research. We would also like to extend our thanks to Archimage, Inc. of Houston, TX for its game design services.
DT was principal investigator of the study, conceived the project; guided the design of the intervention components; oversaw data acquisition, analysis, and interpretation; and drafted the paper. RB was with the Department of Pediatrics, Baylor College of Medicine when this study was conducted and assisted with design, managed the project, including intervention delivery and data acquisition; she also assisted with revising the manuscript. She is now with the Department of Family and Community Medicine, Baylor College of Medicine. ML was the Director of Marketing with Archimage, Inc (Houston, TX) when the Squire’s Quest! II game was designed and the executive producer for the Squire’s Quest! II game with responsibilities including project management, client communications, documentation, and copywriting; she assisted with design and participated in revising the manuscript. KC was a co-investigator and assisted with conception; dietary data collection, analyses, and interpretation; and revising the current manuscript. JB helped design and manage the original Squire’s Quest! study; she also participated in the design of the Squire’s Quest! II study and participated in revising the present paper. TB was the principal investigator for the original Squire’s Quest! study; he participated in the conception and design of the Squire’s Quest! II study and participated in analysis and interpretation; he also participated in revising the present paper. All authors read and approved the manuscript.
Conflicts of Interest
- US Department of Health and Human Services. Healthy People 2010 (second edition): With Understanding and Improving Health and Objectives for Improving Health (2 vols). 2000 Nov. URL: http://www.healthypeople.gov/2010/Document/tableofcontents.htm#under [accessed 2012-11-18] [WebCite Cache]
- Bazzano LA. The high cost of not consuming fruits and vegetables. J Am Diet Assoc 2006 Sep;106(9):1364-1368. [CrossRef] [Medline]
- US Department of Agriculture and US Department of Health and Human Services. Dietary Guidelines for Americans, 2010 (7th Edition). 2010 Dec. URL: http://www.health.gov/dietaryguidelines/2010.asp [accessed 2012-11-17] [WebCite Cache]
- Guenther PM, Dodd KW, Reedy J, Krebs-Smith SM. Most Americans eat much less than recommended amounts of fruits and vegetables. J Am Diet Assoc 2006 Sep;106(9):1371-1379. [CrossRef] [Medline]
- Lien N, Lytle LA, Klepp KI. Stability in consumption of fruit, vegetables, and sugary foods in a cohort from age 14 to age 21. Prev Med 2001 Sep;33(3):217-226. [CrossRef] [Medline]
- Rideout V, Foehr U, Roberts D. 2010. Generation M2: Media in the Lives of 0-18 Year Olds URL: http://www.kff.org/entmedia/mh012010pkg.cfm [accessed 2011-11-28] [WebCite Cache]
- Harris M, Rosenthal R. Mediation of interpersonal expectancy effects: 31 meta-analyses. Psychol Bull 1985;97(3):363-386 [FREE Full text] [CrossRef]
- Baranowski T, Buday R, Thompson DI, Baranowski J. Playing for real: video games and stories for health-related behavior change. Am J Prev Med 2008 Jan;34(1):74-82 [FREE Full text] [CrossRef] [Medline]
- Thompson D. Designing serious video games for health behavior change: current status and future directions. J Diabetes Sci Technol 2012 Jul;6(4):807-811. [Medline]
- Baranowski T, Baranowski J, Cullen KW, Marsh T, Islam N, Zakeri I, et al. Squire's Quest! Dietary outcome evaluation of a multimedia game. Am J Prev Med 2003 Jan;24(1):52-61. [Medline]
- Cullen KW, Zakeri I, Pryor EW, Baranowski T, Baranowski J, Watson K. Goal setting is differentially related to change in fruit, juice, and vegetable consumption among fourth-grade children. Health Educ Behav 2004 Apr;31(2):258-269. [CrossRef] [Medline]
- Gollwitzer P. Implementation intentions: Strong effects of simple plans. Am Psychol 1999;54:493-503 [FREE Full text] [CrossRef]
- Bargh JA, Gollwitzer PM, Lee-Chai A, Barndollar K, Trötschel R. The automated will: nonconscious activation and pursuit of behavioral goals. J Pers Soc Psychol 2001 Dec;81(6):1014-1027 [FREE Full text] [Medline]
- Armitage CJ. Evidence that implementation intentions reduce dietary fat intake: a randomized trial. Health Psychol 2004 May;23(3):319-323. [CrossRef] [Medline]
- Steadman L, Quine L. Encouraging young males to perform testicular self-examination: a simple, but effective, implementation intentions intervention. Br J Health Psychol 2004 Nov;9(Pt 4):479-487. [CrossRef] [Medline]
- Sheeran P, Orbell S. Implementation intentions and repeated behaviour: Augmenting the predictive validity of the theory of planned behavior. European Journal of Social Psychology 1999;29:349-369. [CrossRef]
- Milne S, Orbell S, Sheeran P. Combining motivational and volitional interventions to promote exercise participation: protection motivation theory and implementation intentions. Br J Health Psychol 2002 May;7(Pt 2):163-184. [CrossRef] [Medline]
- Verplanken B, Faes S. Goal intentions, bad habits, and effects of forming implementation intentions on healthy eating. European Journal of Social Psychology 1999;29:591-604. [CrossRef]
- Oettingen G, Honig G, Gollwitzer P. Chapter 2: Effective self-regulation of goal attainment. International Journal of Educational Research 2000;33:705-732. [CrossRef]
- Rothman AJ. Toward a theory-based analysis of behavioral maintenance. Health Psychol 2000 Jan;19(1 Suppl):64-69. [Medline]
- Kumanyika SK, Van Horn L, Bowen D, Perri MG, Rolls BJ, Czajkowski SM, et al. Maintenance of dietary behavior change. Health Psychol 2000 Jan;19(1 Suppl):42-56. [Medline]
- Reynolds KD, Franklin FA, Binkley D, Raczynski JM, Harrington KF, Kirk KA, et al. Increasing the fruit and vegetable consumption of fourth-graders: results from the high 5 project. Prev Med 2000 Apr;30(4):309-319. [CrossRef] [Medline]
- Knai C, Pomerleau J, Lock K, McKee M. Getting children to eat more fruit and vegetables: a systematic review. Prev Med 2006 Feb;42(2):85-95. [CrossRef] [Medline]
- Bandura A. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall; 1986.
- Ryan RM, Deci EL. Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. Am Psychol 2000 Jan;55(1):68-78. [Medline]
- Petty R, Cacioppo J. Communication and persuasion: Central and peripheral routes to attitude change. New York: Springer-Verlag; 1986.
- McGuire W. Resistance to persuasion conferred by active and passive prior refutation of the same and alternative counterarguments. Journal of Abnormal and Social Psychology 1961;63:326-332 [FREE Full text] [WebCite Cache]
- Block J. Making school learning activities more playlike: flow and mastery learning. The Elementary School Journal 1984;85:64-75 [FREE Full text] [WebCite Cache]
- Thompson D, Baranowski T, Buday R, Baranowski J, Juliano M, Frazior M, et al. In pursuit of change: youth response to intensive goal setting embedded in a serious video game. J Diabetes Sci Technol 2007 Nov;1(6):907-917 [FREE Full text] [Medline]
- Matlin M. Chapter 7: Memory. Psychology (second edition). Fort Worth, TX: Harcourt Brace College Publishers; 1995.
- Thompson D, Baranowski J, Cullen K, Baranowski T. Development of a theory-based Internet program promoting maintenance of diet and physical activity change to 8 year old African American girls. Computers & Education 2007;48(3):446-459. [CrossRef]
- Lytle LA, Murray DM, Perry CL, Eldridge AL. Validating fourth-grade students' self-report of dietary intake: results from the 5 A Day Power Plus program. J Am Diet Assoc 1998 May;98(5):570-572. [CrossRef] [Medline]
- Feskanich D, Sielaff BH, Chong K, Buzzard IM. Computerized collection and analysis of dietary intake information. Comput Methods Programs Biomed 1989 Sep;30(1):47-57. [Medline]
- Cullen KW, Himes JH, Baranowski T, Pettit J, Stevens M, Slawson DL, et al. Validity and reliability of a behavior-based food coding system for measuring fruit, 100% fruit juice, vegetable, and sweetened beverage consumption: results from the Girls Health Enrichment Multisite Studies. Prev Med 2004 May;38 Suppl:S24-S33. [CrossRef] [Medline]
- Domel SB, Baranowski T, Davis H, Leonard SB, Riley P, Baranowski J. Measuring fruit and vegetable preferences among 4th- and 5th-grade students. Prev Med 1993 Nov;22(6):866-879. [CrossRef] [Medline]
- Baranowski T, Davis M, Resnicow K, Baranowski J, Doyle C, Lin LS, et al. Gimme 5 fruit, juice, and vegetables for fun and health: outcome evaluation. Health Educ Behav 2000 Feb;27(1):96-111. [Medline]
- Domel S, Thompson W, Davis H, Baranowski T, Leonard S, Baranowski J. Psychosocial predictors of fruit and vegetable consumption among elementary school children. Health Educ Res 1996;11(3):299-308. [CrossRef]
- Domel SB, Baranowski T, Davis HC, Thompson WO, Leonard SB, Baranowski J. A measure of outcome expectations for fruit and vegetable consumption among fourth and fifth grade children; reliability and validity. Health Education Research 1995;10(1):65-72. [CrossRef]
- Green MC, Brock TC. The role of transportation in the persuasiveness of public narratives. J Pers Soc Psychol 2000 Nov;79(5):701-721. [Medline]
- Reynolds CR, Paget KD. National normative and reliability data for the Revised Children's Manifest Anxiety Scale. School Psychology Review 1983;12:324-336.
- Dadds MR, Perrin S, Yule W. Social desirability and self-reported anxiety in children: an analysis of the RCMAS Lie scale. J Abnorm Child Psychol 1998 Aug;26(4):311-317. [Medline]
- Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D, et al. Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. Am J Clin Nutr 2000 Jun;71(6):1503-1510 [FREE Full text] [Medline]
- Cullen KW, Klesges LM, Sherwood NE, Baranowski T, Beech B, Pratt C, et al. Measurement characteristics of diet-related psychosocial questionnaires among African-American parents and their 8- to 10-year-old daughters: results from the Girls' health Enrichment Multi-site Studies. Prev Med 2004 May;38 Suppl:S34-S42. [CrossRef] [Medline]
- Hearn M, Baranowski T, Baranowski J, Doyle C, Smith M, Lin LS, et al. Environmental influences on dietary behaviors among children: availability and accessibility of fruits and vegetables enable consumption. J Health Educ 1998;29:26-32.
- Cullen K, Baranowski T, Rittenberry L, Cosart C, Owens E, Hebert D, et al. Socioenvironmental influences on children's fruit, juice, and vegetable consumption as reported by parents: reliability and validity of measures. Public Health Nutrition 2000;3:345-356. [CrossRef]
- Gioia G, Isquith P, Guy S, Kenworthy L. BRIEF: Behavior Rating Inventory of Executive Function - Professional Manual. Lutz, FL: Psychological Assessment Resources, Inc; 2000.
- Baranowski T, Jago R. Understanding the mechanisms of change in children's physical activity programs. Exerc Sport Sci Rev 2005 Oct;33(4):163-168. [Medline]
|FV: Fruit(s), vegetable(s)|
|N/A: Not applicable|
|SQ!2: Squire’s Quest! II: Saving the Kingdom of Fivealot|
Edited by G Eysenbach; submitted 18.09.12; peer-reviewed by K Resnicow, L Diehl; comments to author 11.10.12; revised version received 02.11.12; accepted 05.11.12; published 21.11.12
©Debbe Thompson, Riddhi Bhatt, Melanie Lazarus, Karen Cullen, Janice Baranowski, Tom Baranowski. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 21.11.2012.
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