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Realist-informed review of motivational interviewing for adolescent health behaviors
Systematic Reviewsvolume 7, Article number: 109 (2018)
Clinical research investigating effective intervention strategies for adolescents to improve health behaviors has shifted to the application of motivational interviewing (MI). Evidence indicates that MI is an effective intervention for improving health behaviors as related to diet, exercise, and diabetes among adolescents. However, there is a lack of understanding about the mechanisms through which MI works and the contextual factors impacting MI effectiveness. The purpose of this review was to understand how, for whom, and under what circumstances MI works for adolescent health behavior change, which will inform future implementation of this intervention. To provide this in-depth understanding, a realist-informed systematic review was conducted in order to synthesize the evidence on the use of MI for health behaviors. Self-determination theory (SDT) was chosen as the candidate theory for testing in the present review.
Databases including PsycINFO, Healthstar, Cochrane, and PubMed were searched for articles published until March 2017. The search strategy included studies that examined or reviewed the effectiveness or efficacy of MI to change health behaviors among adolescent populations. The search identified 185 abstracts, of which 28 were included in the review. The literature was synthesized qualitatively (immersion/crystallization) and tested SDT as the candidate theory.
Based on SDT, three mechanisms were found within reviewed studies, including competence, relatedness, and autonomy. The following contexts were found to impact mechanisms: school setting, clinician MI proficiency, parental involvement, and peer involvement.
This realist-informed systematic review provides advances in understanding the mechanisms involved in MI for adolescent health behavior change. Additionally, it provides important practical information as to which contexts create the conditions for these mechanisms to occur, leading to health behavior change. The results can inform future MI interventions for adolescent health behavior change. Future research should continue to test this realist theory and also examine mechanism variables not extensively documented in order to improve our understanding of MI in this population.
In recent decades, the prevalence of childhood obesity in Canada and the USA has risen dramatically, with some studies estimating that as many as one in three children are overweight or obese [1,2,3,4,5,6]. Paralleling the rise of childhood obesity rates is a tenfold rise in type 2 diabetes among children and youth [7, 8]. Diabetes and obesity are associated with serious health complications, some of which can be fatal, including asthma, high blood pressure, high cholesterol, sleep apnea, joint problems, osteoarthritis, cardiovascular disease, and some cancers [1, 9, 10]. A number of risk factors for diabetes and obesity have been identified, including health behaviors such as poor diet, sedentary behavior, screen time (i.e., television and computer use), and lack of exercise [11, 12].
Clinical research investigating effective intervention strategies for adolescents to improve health behaviors is somewhat limited . Recent attention has shifted to the application of motivational interviewing (MI) to target problematic health behaviors among teens with chronic health conditions [12, 13]. Evidence indicates that MI is an effective intervention for improving healthy behaviors as related to diet, exercise, and diabetes among adults [13,14,15,16]. Two recent reviews have also indicated that MI is also effective for the treatment of adolescent health behaviors [17, 18], but a gap remains as to how, why, and in what contexts MI works for adolescents, since the processes of change are somewhat unclear . This understanding will provide invaluable information on future implementation of MI in this population. To provide this in-depth understanding, a realist-informed systematic review was conducted to synthesize the evidence on the use of MI for health behaviors, specifically, nutrition, eating habits, sedentary behaviors, and exercise in adolescents.
Motivational interviewing (MI) is a client-centered, collaborative approach that explores inconsistencies between clients’ beliefs and behaviors in order to elicit intrinsic motivation, reduce ambivalence, and evoke natural behavioral change . Though a directed therapy, MI is respectful of individuals’ autonomy and ability to make decisions for themselves, and accordingly, maladaptive beliefs or cognitions are not confronted [20,21,22]. Therapists rely on an empathetic, empowering, and encouraging approach [12, 21, 23], where reflective listening, positive regard, and other Rogerian skills are used to support clients’ sense of self-efficacy and reinforce the therapeutic relationship, which is considered an essential element for MI effectiveness [13, 20, 24]. Self-efficacy, or the confidence that one can achieve their goals, is considered a reliable outcome predictor and is a key factor in a client’s readiness to change [24, 25].
Readiness to change is defined as a process or state of moving between no intention of making a behavior change to committing to and maintaining behavior change [23, 26]. Based on the Transtheoretical Model (TTM), individuals are at various points along this continuum of readiness to change [27,28,29]. Theoretically, individuals move through the stages sequentially; however, in practice, the stages are not mutually exclusive and individuals often move back and forth between stages or move through more than one stage simultaneously [22, 30]. The TTM has been criticized regarding the notion that change is predicated on the notion of stable stages or plans , the suggested discrete nature of the stages of change [32, 33], and the assumption of conscious decision-making and the exclusion of the role of rewards and punishment in the development of habits .
Research using MI to target problem health behaviors has focused on diet, nutrition, exercise, oral health, sedentary behavior, screen time, and monitoring of glucose levels [11, 15, 35]. Several reviews and meta-analyses have examined the effectiveness of MI for health behaviors and found that it is an effective intervention for diet, exercise, obesity, and diabetes among adults [12, 13,14,15,16, 31]. More specifically, MI is associated with changes in body mass index (BMI), systolic blood pressure, and total body cholesterol .
Adolescent health behaviors
Adolescence is characterized as a time of significant physical, personal, and social development , coupled with a shift from relying heavily on parents to make decisions to engaging in more independent decision-making . Health behaviors acquired in adolescence are likely to be maintained into adulthood [9, 36,37,38], making adolescents more responsible for their own health and lifestyle . This newfound freedom may lead teenagers to eat foods low in nutrition, high in fat and/or “empty calories”; exercise well below the daily recommended amount [36, 39]; and poorly manage diabetes . Thus, adolescence is a critical period for introducing interventions to halt problematic behaviors and reduce the risk of poor health outcomes or chronic disease in adulthood .
Research in the area of health behavior interventions for adolescents, specifically those related to obesity and diabetes, is relatively new . The current literature is heavily dominated by “risky” health behaviors such as alcohol consumption, illicit drug use, cigarette smoking, and unsafe sex [12, 15]. Yet, some are beginning to add disordered eating and sedentary behavior into the fold as obesity and diabetes continue to rise in this population [39, 42,43,44]. MI is one intervention gaining attention in this area, though much is still unknown regarding its efficacy and the mechanisms and contexts by which it works [12, 17, 45]. Initial evidence for the effectiveness of MI for childhood and adolescent obesity and diabetes is promising [12, 46].
Two recent meta-analyses have been conducted in the area of MI for adolescent health behavior change [17, 18]. Cushing and colleagues  found 15 studies from their systematic search, which yielded a small but significant effect size favoring MI interventions, g = 0.16 (95% CI [0.05, 0.27]). The authors note the importance of reporting the training received by clinicians, in order to assess whether fidelity to MI impacts adolescent health outcomes, as the majority of studies did not report training. Additionally, they recommend that future studies analyze the effects of interventionist training on outcomes.
Gayes and Steeles  conducted a meta-analysis for the efficacy of MI on adolescent health behaviors, delivered to the adolescent, a parent, or both. The authors synthesized 37 articles on this topic that targeted eight health conditions including obesity, HIV/AIDS, asthma, diabetes, infant health, dental health, accident prevention, sleep, and calcium intake. The analysis found a small overall effect size for MI when compared to other active treatments and no treatment, g = 0.282 (95% CI [0.242, 0.323]). Interestingly, this meta-analysis also analyzed moderator variables and found that interventions delivered by community health workers yielded the largest effect size, followed by health professionals, and lastly interventionists with master’s and doctorate degrees resulted in the lowest effect size. Additionally, studies that conducted MI with the adolescent and parent together yielded significantly larger effect sizes than MI delivered with either parent or child individually. These moderator variables suggest that specific contexts in which MI is delivered to adolescents give rise to different outcomes. Therefore, further investigation into the contexts by which MI works, and how it works within these contexts, is warranted.
Realist-informed approach to systematic reviews
Traditional systematic reviews focus on synthesizing literature and identifying whether or not interventions work. A realist approach goes beyond identifying the intervention’s efficacy to examine the underlying mechanisms and contexts in which the interventions work [45, 47]. Such an approach is predicated on the notion that an outcome occurs as a result of some events (or intervention), but there is a need to understand the generative mechanism that brings about the outcome in a particular context. These “mechanisms of change” are sometimes considered intervention or program theories that explain how and why outcomes occur. A realist approach states that contextual variables create the conditions by which generative mechanisms and outcomes can occur, which is explained through the construction of context-mechanism-outcome (CMO) configurations .
There are many differences between a realist review and a traditional systematic review, one of which includes its purpose. A realist review’s purpose is often exploratory and does not aim to determine whether an intervention works, as does a traditional systematic review. Rather a realist review aims to explore the process and contextual factors that play a role in the effectiveness or efficacy of an intervention . Because of this, a realist review does not provide concrete and absolute answers and, as a result, the possibility for additional contributions to each theory may remain, as findings from a realist review are often provisional . It should be noted, however, that provisional results and conclusions are common when examining mechanisms, since a sequence of studies must be completed in order to confirm the existence of particular mechanisms . The present review was limited due to the small number of studies completed on the use of MI for adolescent health behaviors. Therefore, the present paper was adapted as a realist-informed review, due to the exploratory nature and, instead, is looking to develop a preliminary theory that includes some mechanism and contextual factors based on SDT. The provisional results of the realist review are often in the form of a conceptual model, which is the objective of the present realist-informed review.
Current review and candidate theory
Recent reviews have found that MI for adolescent health behavior change is an effective intervention; however, research has yet to uncover underlying mechanisms or examine how, why, and in what contexts MI works for addressing adolescent health behaviors [12, 21]. To address such process-related issues, this review synthesized the current literature and identified outcomes, contexts, and mechanisms related to the successful application of MI to target diet, exercise, and sedentary behaviors among adolescents. Our research questions included the following: What are the mechanisms or theories by which outcomes are achieved? How does the context of the MI intervention affect mechanisms and outcomes? In order to answer these questions, we tested self-determination theory (SDT) as the candidate theory.
Recent developments in research on MI have suggested that self-determination theory (SDT) provides a useful theoretical framework for understanding the efficacy of MI [50, 51]. SDT is a theory of personality development and behavior change originating from Deci and Ryan , which assumes that individuals innately strive towards personal growth. The theory stipulates that autonomous behaviors are more stable and have a more positive effect on the individual . SDT posits that three conditions are necessary in order to achieve autonomous behavior change . The first condition is the need for competence, defined as confidence in one’s abilities and that one’s abilities can affect outcomes. Competence has been compared to other constructs, such as the development of confidence, self-efficacy, and control . The second condition is the need to feel autonomous over one’s behaviors and actions, rather than feeling controlled by external sources. Autonomy is achieved when an individual feels like they have choice or ownership over their actions . Third is the need to feel relatedness, which involves experiencing a connection with others and having satisfying relationships. If individuals feel a sense of caring and commitment from important people in their life, they will be more willing to make a behavior change . SDT suggests that all three of these conditions can be met if the individual is in an environment that allows for self-determination to foster . If an individual is in an environment where they are being controlled, it is unlikely they will develop competence, autonomy, and relatedness.
The theory states that if the social environment provides structure, autonomy support, and involvement of others, then individuals will be able to achieve the three conditions of self-determination . Structure facilitates competence; autonomy support facilitates the development of autonomy; and lastly, involvement, or the perception that others care about your well-being, facilitates feelings of relatedness . Therefore, the present study adopts SDT as the candidate theory for MI for adolescent health behaviors. Specifically, the intervention would be hypothesized to be most effective in contexts that allow for structured setting, that permit autonomy support, and include involvement of others. These contexts will produce the hypothesized mechanisms, which include competence, relatedness, and autonomy. These mechanisms will result in the final outcomes of health behavior change.
A literature search was conducted for all eligible published studies from 1989 up to March 2017, with the earliest paper found from 1989. This systematic review included studies that examined or reviewed the effectiveness or efficacy of MI to change health behaviors among adolescent populations. Studies that combined MI with another intervention were included as well, as long as MI was a specific focus of the study. Health behaviors included in the systematic review were related to diet and exercise. Behaviors related to risk-taking (e.g., drug and alcohol abuse and sexual activity) were excluded because these behaviors were thought to involve different processes as related to MI. Participants were considered to be adolescent if they ranged in age from 12 to 18 years, which has been used in adolescent outcome studies by the World Health Organization . Studies included in the systematic review were empirical papers, review articles, or case studies. Reviews and case studies were included because they were thought to offer insight and provide rich detail into the contexts and mechanisms through which MI works. Finally, studies had to be published in English. Relevant studies were identified through online searches of several relevant databases (i.e., PsychINFO, PubMed, Cochrane, and Healthstar). Search terms (with both American and British spelling) that were used to search the literature included (1) motivational interviewing or motivational enhancement; (2) health behavior, diet, exercise, obesity, diabetes, sedentary behavior, nutrition, OR physical activity; and (3) adolescent, teen, or youth. These terms were searched in the abstracts of studies. In addition, reference lists from review articles were checked for any other potentially eligible studies.
This search strategy generated a total of 185 abstracts that subsequently underwent abstract review. Two researchers independently reviewed the list of abstracts and initial decisions were made on whether to retrieve the full text article. In the case of disagreement, discrepancies were resolved through discussion with a third research team member. Abstracts were excluded if they failed to meet one or more of the previously cited inclusion criteria. Selected (n = 40) abstracts were then retrieved and two members of the research team independently reviewed every article to confirm inclusion, abstract information, and complete a quality appraisal. Articles were removed from analysis primarily for the following reasons: lack of focus on MI, the majority of participants were not within the age range, and lack of findings or conclusions related to the health behaviors of interest. If MI was used with teens with diabetes, the article was only included if changing health behaviors was an outcome of the intervention. As a result, the full text for 26 articles were retrieved and coded for relevant information. Two additional studies were added from the reference lists of the coded studies (see Fig. 1).
Appraisal of documents
Quality appraisal of articles was evaluated using the recommendations for realist review from RAMESES . The rigor and relevance of the article was considered, rated as low, medium, or high. An appraisal deemed “low” was used for articles that did not include any information or discussion of mechanism or contextual factors. A rating of “medium” was given to studies that provide information on either contextual or mechanism variables. A rating of “high” was given to studies that provide information on both mechanism and contextual variables. Rigor was assessed as low, medium, or high, based on the credibility and trustworthiness of the method that was used in each article . Studies appraised as low in rigor or relevance were excluded from the realist review. Two authors appraised each article; discrepancies were discussed and resolved in order to facilitate an iterative process of quality appraisal.
Extraction and synthesis of findings
Once the articles that met inclusion criteria were identified, full text articles were retrieved and relevant information for analysis was extracted. Extracted information was related to four topics: (1) a description of the population(s) that was included in the study and other contextual factors of the study (e.g., healthcare setting); (2) a description of the program or intervention of interest (MI or the combination of MI with another intervention), (3) with the exception of review papers, a description of the evaluation was required; and (4) a description of the mechanisms or the underlying causal factors that might be contributing to the success or failure of the program.
The research team initially met and discussed preliminary mechanisms or theories (self-determination theory; competence, autonomy, relatedness). Once the candidate theory was clarified, it was tested and refined by examining articles that the research team had extracted. Iterative theory development was done across the papers and was consistent with the data analysis standards from RAMESES . The focus on the data extraction was on contexts, mechanisms, and outcomes. Then, through an iterative discussion process, the theory was further developed by the creation of demi-regularities that included the creation of context-mechanism, context-outcome, or mechanism-outcome links. Lastly, thematic overlap from the demi-regularities was further analyzed in order to create the final CMO configurations.
In this qualitative process, an immersion/crystallization qualitative approach was used and researchers independently immersed themselves in the articles in order to crystallize, or decide on reportable themes or mechanisms . Crystallization of the final contexts and mechanisms, as they related to MI for adolescent populations, was done through legitimizing and corroborating . The current review was not registered in PROSPERO.
Summary of studies
As noted in Fig. 1, there were a total of 28 articles included in this review and the most common study design included in this review was randomized control trials (n = 13). The next most common type of article was pre/post, correlational, or repeated measures design (i.e., seven in total). As well, two protocols, four reviews (including two book chapters), and two papers reporting secondary analyses (one qualitative) were included in this review. Most of the studies were of medium or high relevance (i.e., 23 in total). Health behaviors of target by all of the studies included were diet and exercise (see Table 1).
Nearly every study focused on achieving outcomes related to increasing physical activity and changing eating habits, with varying results between the interventions. Olson and colleagues  reported increased physical activity at 6-month follow-up after an MI intervention and increases in milk servings at a 6-month follow-up; however, no changes were reported for fruit intake, vegetable intake, and sweetened beverage consumption. Black and colleagues  reported that although there were no changes in daily activity counts for the group of adolescents, those who were overweight or obese at the start reported increases in daily activity counts, compared to those who were in the normal range for weight. They also found decreases in caloric intake in general, as well as reduced consumption of snacks/desserts, marginal significant decreases in dietary fat and fried food, and marginally significant increases in fruit intake (in addition to the aforementioned activity counts examination) . Resnicow and colleagues  reported that when asked about the telephone-based MI intervention specifically, 47% of teens reported it had a lot of influence on their physical activity and 42% reported it had a little influence. Additionally, 47% of teens reported that the MI intervention phone calls had a “lot of influence” on their diet and 45% of teens reported that it had a “little influence.” Forty-five percent of teens reported that the intervention helped them think differently about their eating habits, but no significant differences between groups were found for diet- or physical activity-related outcomes. Gourlan and colleagues  implemented two individual sessions with a healthcare provider discussing health behavior. In addition, the experimental group also received the same intervention plus six additional MI sessions, which was found to lead to a significant increase in physical activity at 6 months. Lee and Kim  reported that male students from a junior high school in Seoul who received ME twice a week for 16 weeks had a significant increase in physical activity.
Neumark-Sztainer and colleagues  found improvement regarding portion control among teenage girls at a 9-month follow-up. The authors also found significant improvements for sedentary activity, eating patterns, unhealthy weight control behaviors, and body image . Pakpour and colleagues  implemented MI as adolescent only, or with parental involvement. They found that the group receiving MI with parental involvement had significantly different outcomes including BMI changes, diet, physical exercise, and self-efficacy for diet. The MI with parental involvement was not superior to MI alone for servings of fruits, vegetables, and milk products; waist circumference; or psychosocial functioning.
Two documents examined physical activity and diet outcomes in the context of diabetes management [66, 67]. These studies approached the treatment of diabetes from a self-management perspective and focused on supporting youth to achieve physical activity and nutrition outcomes as a means to self-manage their diabetes. Nansel and colleagues  found that at 18 months, scores on the Healthy Eating Index 2005 were 7.2 greater and scores on the Whole Plant Food Density scale were 0.5 greater in the intervention group versus control. Notably, there was no difference between groups in HbA1c levels across the study duration.
A number of studies also examined secondary outcomes related to the MI intervention. A study by Bean and colleagues  found that MI participants had greater 3-month adherence to dietitian and behavioral support visits, which was consistent at 6 months. Carcone and colleagues  implemented a secondary analysis of coded MI sessions and found that 62% of the time, open-ended questions elicited change talk by the adolescent. Additionally, statements emphasizing autonomy were more likely to elicit change talk. These authors also found that affirming statements were not effective in eliciting change talk . Carcone and colleagues  carried out a secondary analysis of MI sessions with youth and their caregivers. The results indicated that caregivers reported more ambivalence than youth overall, but caregivers had less ambivalence than youth for nutrition-related changes . Conversely, youth had less ambivalence for activity-related changes compared to their caregivers. The authors reported the greatest divergence in ambivalence was between youth and caregivers for physical activity-related changes .
Very few studies examined readiness to change as outcome measures. Channon and colleagues [71, 72] found that the majority of patients (84%) reported changes towards the action stage at 12-month follow-up. Berg-Smith and colleagues  included participants who varied in their readiness to change at pre-intervention and found that readiness significantly increased by one point on a scale from one to 12; action plans were made by 94% and successfully implemented by 84% of participants. Neumark-Sztainer and colleagues  found that 13% more participants in the MI intervention group progressed from pre-contemplation to contemplation in comparison to the control group.
Although BMI and weight were typically included as an outcome measure in studies, there was little evidence to support the impact of MI or MI in combination with other techniques at reducing BMI [62, 74, 75]. One exception is research by Black and colleagues  who found the percentage of obese/overweight adolescents in their control group increased in weight by 11%, yet the percentage decreased by 5% in the intervention group. Irby and colleagues  noted an improvement in BMI; however, the study’s quality and rigor are weak because it is a case study. Additionally, Lee and Kim  found a significant reduction in BMI when MI was used in addition to an obesity intervention. The results of this study should also be interpreted with caution as no control group was used for comparison . A reduction in BMI may not be considered an achievable outcome given that adolescence is a period of relative weight gain and growth and efforts to counteract this would be futile. Furthermore, BMI may not be an ideal outcome because adolescents undergo a number of developmental physical changes that can impact BMI scores .
The first context from the theory involved the therapist providing structure for the client, which in turn leads to the development of competence (see Fig. 2). The context of structure was found in the current review to occur when MI is delivered in a school setting (C1), providing structure that is familiar to the adolescent. Flattum and colleagues  as well as Neumark-Stainzer and colleagues , employed the New Moves intervention for ethnically diverse girls in a school setting. These studies found that due to the structure provided by the school setting (C1), girls increased their perceived athletic competence (M1) and their self-efficacy to overcome barriers for physical activity (M1). In this study, changes in girls’ levels of competence were paralleled with changes in health behaviors. Lee and Kim  provided ME to male students with a BMI over 25 kg/m2 twice per week for 16 weeks in a gym and classroom before the school day began. Due to the structure of the school context, the students were found to have increased self-efficacy, decreased perceived barriers, and increased competence (M1), leading to health behavior changes. Various studies were conducted using MI in other contexts including health clinics, home based, and over the phone. These contexts were found to have mixed results and therefore cannot be used as a definitive contextual variable.
Autonomy support—autonomy configuration
The second context from self-determination theory is autonomy support, where the individual making a change must be supported in their autonomous decision-making and not be pressured to act in a specific way. This context creates the behavior change mechanism of autonomy (M2). For the present review, autonomy support was found when interventionists had high fidelity to MI and were delivering MI in a way that respected the autonomy of the client (C2). Carcone and colleagues  performed a secondary analysis of MI sessions conducted by highly trained counselors. The sessions were coded by the Sequential Code for Observing Process Exchanges (SCOPE) in order to identify what elicits change talk for adolescents. The authors found that provider statements that emphasized the adolescent’s autonomy (C2) were more likely to elicit change talk (M2). Additionally, they found that statements that were affirming were the least effective. These results suggest that when MI is provided in a way that supports the autonomy of the client, the individual will be more likely to feel autonomy over their own choices, leading to more discussion of behavior change. Gourlan and colleagues  measured fidelity to MI using the Motivational Interviewing Treatment Integrity (MITI) coding proficiency and found ratings above proficiency for three out of five ratings. These authors found that adolescents who received the MI intervention perceived staff as more autonomy supportive than those who did not receive MI (C2). Additionally, those in the MI group had a significant change in engaging in an activity because it is consistent with their own values and because it is personally important and useful (M2). These results are consistent with what has been previously been identified as autonomous motivation, which arises from the autonomy-supportive approach of MI.
A number of studies reported null results that were explained by the way MI was delivered. For example, Brennan and colleagues  found that one session of MI followed by 12 sessions of CBT did not improve outcomes compared to those who only received CBT. They found that among the treatment group, there was only a 43% completion rate. Interestingly, in a follow-up paper by these authors, they discuss the barriers that led to treatment dropout in this study. They reported that the most common barriers reported by adolescents related to research demands, such as completing questionnaires, as well as the treatment approach, program components, and strategies, which were discussed as having too many behavior change goals and too much homework . These results suggest that the CBT program following the MI session did not support adolescents’ autonomy, which is likely to have contrasted immensely from the initial MI session, leading to ambivalence for the adolescent to change their behaviors. Additionally, the most common barriers reported by parents were the same as adolescents, including program components and strategies such as too many behavior change goals, too much homework, and adolescent dislike of monitoring . Therefore, it appears that this program did not provide the context of autonomy support for adolescents, leading to lack of mechanisms and outcomes.
Davis and colleagues  provided Latino females circuit training twice per week for 16 weeks, in addition to four individual and four group MI sessions. The MI sessions were found to have high fidelity, with the average MITI code being 3.8, but circuit training alone was found to show more promising results. One explanation is that the youth were expected to perform specific goals during the exercise training portion that were not their own. Additionally, participants were required to attend 28 of the 32 sessions and could not miss more than two consecutive sessions. Therefore, it appears that the circuit training differed greatly from the MI spirit, which could be the reason for the null results for the MI intervention.
Reniscow et al.  recruited female adolescents from churches and conducted MI with the adolescent through phone calls. This study found no significant difference between those who received MI and those who did not. Interestingly, the authors state that although the MI protocol was successfully implemented in adult studies, the counselors believed the protocol might not have been developmentally appropriate for the adolescents. Results indicated a lack of MI fidelity and autonomy support, including that 47% of girls agreed their counselor asked too many questions.
Lastly, Naar-King et al.  delivered an MI intervention to youth and their parents either in their homes or in an office setting. After 3 months of the intervention, treatment non-responders were re-randomized to receive skills training or contingency management. The results found no differences between the sessions delivered in home-based or office-based settings and no difference between skills training or contingency management. This intervention does not adhere to the MI spirit, as individuals who were not ready to make a change were randomized into another behavioral condition. Additionally, during the MI sessions, the goal was to have participants to reduce their food intake by 500 kcal or to consume a maximum of 1600–2000 kcal per day. Therefore, adolescents did not have the opportunity to set their own goals, which contrasts greatly to the MI approach. The results of the above studies show that it is necessary to employ an intervention that follows MI fidelity guidelines, including all parts of the intervention, not only the MI itself.
Involvement of others—relatedness configuration
The final context from self-determination theory is the involvement of others (C3), which produces the mechanism of relatedness (M3). This context was found to occur in two different ways: the involvement of parents (C3a) and the involvement of peer mentors (C3b). These two contexts were found to have different outcomes depending on the other contexts of the adolescents. Specifically, it was found that parental involvement is more likely to lead to positive outcomes for Caucasian, middle- to high-income families (C4). For ethnic minority families (C5), the involvement of peers (C3b) was more likely to lead to positive outcomes.
With respect to family involvement, Nansel and colleagues  delivered MI to youth and their parents at a diabetes outpatient center. Participants were 90% white, high-income families, with a study completion rate of 92%. Due to their high levels of treatment engagement (C4), adolescent healthy eating increased during the 12–18-month period, at which time the intensity of the intervention had decreased and the adolescents had the opportunity to use their autonomy (M2). Ball and colleagues  delivered individual MI to a majority Caucasian sample and found no differences between the MI intervention and the control. Interestingly, this intervention targeting the adolescent alone had a 40% dropout rate, and the authors cited a lack of family engagement as a reason for this high dropout rate. Therefore, in order for MI to be effective in ethnic majority groups, it is necessary that parents be also targeted in the intervention. These results parallel Nansel et al.  and Berg-Smith et al.  suggesting that parental involvement (C3) may be important for developing the mechanism of relatedness (M3) for Caucasian families (C5).
An RCT conducted by Pakpour et al.  in an outpatient clinic in Iran involved MI with the addition of parental involvement at the end of every session. There was a high degree of involvement by participants indicated by the low dropout rate (C3a). This study indicated that the MI + parental involvement resulted in significant changes in health behavior change outcomes. In contrast to the above studies, MacDonell et al.  conducted MI with African American adolescents and their parents. Only 27% of the intervention group received all MI sessions, which suggests that there may be a difficulty in engaging with the parent-adolescent dyad in this intervention, but due to the limited data, this lack of engagement is a provisional result. The results of this study did find a reduction in fast food consumption and an increased motivation for physical activity, but no other significant outcomes were presented.
With respect to peer involvement, Neumark-Stainzer et al.  elicited the context of involving others by creating an intervention for female, ethnic minority youth within a school setting. This intervention involved sending postcards home to reinforce New Moves with parents (C3a) and having informal lunches with the group (C3b). The results of the involvement of others in this intervention led to the intervention group reporting more support for physical activity from friends, teachers, and family (M3). Additionally, the MI group also reported increased support from friends and teachers for nutrition-related changes (M3). Black and colleagues  created the Challenge program, which involved MI delivered by race- and gender-matched mentors (C3b). The authors found that through the interaction with the mentor (M3) in experiencing physical activity and nutrition, the adolescent gained confidence to adopt new behaviors (M1), which led to healthy behavior change. Both Neumark-Stainzer et al.  and Black et al.  suggest the importance of peer involvement among youth who are an ethnic or racial minority. Interestingly, interventions with ethnic minority participants that did not include peer involvement were found to have no intervention effects [35, 73, 76].
Insufficiently explored contexts and mechanisms
A small number of studies mentioned contexts and mechanisms that were not found to fit within the SDT framework. For example, Olsen and colleagues  found that an interest in changing behavior at baseline was a significant predictor of outcomes at follow-up. Additionally, a study by Carcone and colleagues  of African American adolescents and their caregivers compared the frequency of ambivalence statements during an MI session with the dyad. The results found that overall ambivalence was higher for caregivers than for youth. The ambivalence between the dyad was similar for nutrition-related changes, but diverged for physical activity-related changes. Parents were more likely to be ambivalent towards their adolescent making physical activity-related changes compared to youth. The role of ambivalence within the parent-adolescent dyad may be an important variable to further explore in order to better understand how the ethnic minority context and the mechanism of relatedness is activated in this population.
Flattum and colleagues  monitored adolescent girls’ goal-setting behaviors and found that when receiving MI, girls were able to set goals 100% of the time and achieved goals 75% of the time. Neumark-Sztainer and colleagues  paralleled this result and found that the MI intervention increased physical activity goal-setting behaviors of adolescent females. The role of goal setting as a mechanism of change for health behaviors is still unknown. Lastly, Naar-King et al.  found that individuals with higher executive functioning had greater weight loss in the short term, but not the long term.
The purpose of this realist review was to explore the role of self-determination theory in the implementation of MI for adolescent health behaviors, with the goal of ultimately providing useful guidance for program development and implementation. Previous research has indicated that self-determination theory can be used to explain the efficacy of MI for behavior change . The mechanisms responsible for initiating health behavior change originate from self-determination theory: competence, autonomy, and relatedness. School-based programs were found to bring about the mechanism of competence, leading to behavior change outcomes. Secondly, interventionists who were proficient at MI were found to initiate the mechanism, autonomy. The contexts of family engagement and ethnic majority were found to trigger the mechanism of relatedness. Conversely, the contexts of peer involvement and ethnic minority triggered the mechanism of relatedness.
The CMO configuration of structure-competence was found to occur for youth within a school setting. Previous research has indicated that the school setting is essential in providing youth with activities that are challenging but that also allow for sufficient support and feedback, in order to promote competence and success . The school-based programs in the present review were consistent with other educational goals, allowing for competence in health behavior change to develop. Research in educational contexts has shown the importance of setting limits with students in order to obtain the structure necessary to learn. Koestner et al.  found that autonomy-supportive limits result in significantly higher intrinsic motivation in comparison to controlled limits. Therefore, the present review has indicated that the MI intervention benefits from being delivered in a setting with sufficient structure (e.g., school setting) that also is consistent with the autonomy-supporting spirit of MI, including having the adolescents set their own goals.
Relatedness was found to be a key mechanism for adolescents to change their health behaviors. Research has indicated that people tend to internalize the values of others who they want to feel connected to in order to feel a sense of belonging . The present review found that this mechanism was triggered by two different contextual variables: family involvement and peer involvement. Having members of the family or peers who the adolescent wants to feel similar to was found to be an important component to successful health behavior change. Future interventions would benefit from involving family and peers in the intervention to successfully target this mechanism.
The context of ethnic majority and minority in relation to the mechanism of relatedness is a demi-regularity that must be further explored in future realist reviews. A meta-analysis reviewing 25 years of studies on MI found that studies including a higher number of African American adult patients had significantly worse outcomes . These results were only significant when MI was compared to treatment as usual. The authors state that it is unclear why the number of African Americans is a significant moderator, whereas the number of Hispanic Americans was not significant. It appears that utilizing MI with those who identify as an ethnic minority may result in varying outcomes. Importantly, this meta-analysis did not report on any specific details related to the age groups of participants receiving MI, the setting in which the MI was delivered, nor whether who delivers the MI to ethnic minority groups has an effect on outcomes . The present review provides an interesting insight into these difficult issues by suggesting that for ethnic minorities, MI needs to be delivered to adolescents with support from peers, rather than parents.
Shavers and colleagues conducted a review of research on racial and ethnic discrimination in the healthcare system . Results of their analysis indicated that African Americans experienced the highest amount of ethnic-based discrimination, ranging between 6.9 and 52%. Discrimination was found to have negative effects including worse health status, non-adherence to treatment, mistrust of providers, and avoidance of the healthcare system . Therefore, it is possible that African American parents may be less likely to engage with their adolescent’s healthcare due to previous discrimination by the healthcare system. It may be more helpful for relatedness to be achieved for adolescents through peers or ethnicity-matched providers.
It is apparent that MI with parental involvement is not entirely ineffective for different ethnic groups, as Pakpour et al.  employed a successful MI intervention with parental involvement in Iran which documented many positive outcomes. It may be that those from an ethnic minority may find it difficult to integrate an MI approach when the MI treatment provider is from a different ethnic group or socioeconomic status, especially if they have experienced previous discrimination by the healthcare system. Therefore, the best approach may be to “match” clients with a provider who is similar to them in order for relatedness to be achieved.
A recent realist review describes a population of hard-to-reach or marginalized families, describing this population as those in poverty or from a cultural minority . These authors noted the difficulty to engage this population due to socioeconomic needs as well as matching the client’s lived experience. Socioeconomic status may also explain why parental involvement may not be effective for ethnic minority youth, as parents may not have the ability to join adolescents during their appointments or effectively support them, but this needs to be further explored . The same review found that the context of matching the client’s lived experience was important for those who were from cultural minority groups, paralleling the CMO configuration, ethnic minority-relatedness-health behavior change, in the present study. More research is necessary to further unpack why peer mentors are more effective than family engagement for minority youth.
The present review has indicated that autonomy support from SDT is best characterized by fidelity to the MI spirit, which underscores respect for autonomy. This context was found to elicit the mechanism of autonomy for adolescents. Previous research in health behavior change has found that when patients perceive their health care providers to be supportive of their autonomy, patients are more likely to feel autonomy over their health behaviors . This suggests that the more supportive autonomy providers are, the more patients perceive they have autonomy. This study provides further support for the demi-regularity identified in the present review. In addition, Williams et al.,  also found that changes in patient autonomy leads to health behavior change, hypothesizing a complete CMO configuration that is also found in the present review.
A recent review analyzing the mechanisms of change within MI interventions found that the MI spirit is associated with positive health behavior change outcomes . Interestingly, a number of articles in the present review did not report the fidelity of their MI intervention. Because MI adherence from the interventionist was found to be a contextual factor leading to autonomy, it is necessary for future research to document MI adherence. It was also found that many interventions contrasted with the basic elements of MI, such as the interventionist setting the goals for the adolescent, having a fixed number of sessions the adolescent has to attend, or having the adolescent participant engage in activities they do not want to. These non-autonomy supportive interventions were found to have no effect on behavioral change outcomes. A meta-analysis of 25 years of MI research has stated that adherence to a manual may cause interference with the client-centered approach of MI . However, another meta-analysis reviewing MI for weight loss found that the use of a fidelity measure is associated with better outcomes . Therefore, although a manual may not be the most appropriate answer for MI fidelity, it is necessary to adhere to the MI spirit, allowing clients to exhibit their autonomy during the process, without being rigid to specific goals or manuals. The present review, paralleled by previous research, suggests that adherence to a manual is not the only way to ensure high levels of fidelity. Importantly, being flexible and client-centered means adjusting according to the client, which is a guiding principle of the MI spirit.
A number of mechanisms were mentioned within articles, but were not extensively documented. These included readiness to change, executive functioning, and goal-setting behaviors. It is hypothesized that these mechanisms are related to both competence and autonomy. Miller and Rose  discuss the mechanism of change talk as central to health behavior change. More recently, Deci and Ryan  have argued that it may not be the quantity of change talk, but rather the quality, and that the provider must support the client in autonomous change talk rather than forcing a larger quantity of change talk. These results are similar to the insufficiently explored mechanisms in the present study. The results found that motivation to change and goal-setting behaviors are mechanisms of change. Previous research has highlighted the importance of goal setting and motivation to change in behavior across different age groups. Greaves and colleagues  conducted a systematic review of reviews in order to assess the intervention components associated with positive dietary and physical activity outcomes. Results found that behavior change techniques, including goal setting, were associated with increased intervention effectiveness. Additionally, Knittle and colleagues  provided a review and meta-analysis of interventions targeting motivation for physical activity in adults. This review also found that interventions that focus on goal-setting behaviors lead to increased physical activity. Interestingly, the review did not find a significant relationship between motivation and change in physical activity for adults, which parallels the present review for adolescents . It is apparent that this mechanism needs to be further explored within behavioral change interventions.
In line with Deci and Ryan , motivation to change and goal-setting behaviors may not be able to occur unless the adolescent is able to autonomously move into a higher stage of change or make goal-setting behaviors on their own. The present review has indicated that if a provider is setting these goals for them, the adolescent will not develop competence or autonomy. Due to the lack of current understanding, the role of readiness to change, motivation, and goal-setting behaviors, and their relationship to autonomy and competence, needs to be further explored. It may be of interest to test the TTM and the mechanisms involved in the precontemplation and contemplation stages to further address the mechanisms not extensively documented in the present review.
Limitations of review
A number of limitations exist within the present review. Importantly, this realist review did not have differentiated pathways for specific outcomes. The majority of studies looked at a combination of diet, exercise, and weight loss outcomes making it impossible to separate CMO configurations out by outcome. Rather, this review focused on contexts and mechanisms that lead to health behavior change generally. More research is needed in order to identify the pathways that lead to each specific health behavior change.
Second, a number of contextual factors were mentioned in articles, with no observable patterns of outcomes. For example, a number of interventions took place within a health clinic, in a community setting, or via telephone. It is possible future research can examine these contextual factors in order to assess their efficacy and create different CMO configurations. For the purpose of this review, it was concluded that not enough evidence currently exists to understand the impact of those contextual factors.
Due to the nature of realist reviews, some material needs to be omitted in order to focus the theory building in a rich and cohesive manner. Therefore, other aspects of the data can become neglected and unexplored, which are described as insufficiently explored mechanisms and contexts. It should be noted that future syntheses might choose to focus on different contexts and mechanisms within MI or to use a comparison theory in order to build additional CMO configurations.
This original review is the first to provide critical information on the processes and contextual variables that impact the efficacy of MI for adolescent health behaviors. The realist-informed systematic review allowed for the inclusion of a variety of articles in order to analyze and create a clear theoretical understanding that can be utilized by future interventionists. Based on SDT, this review brings to light the importance of structure, autonomy support, and relatedness for adolescent health behavior change. Due to the provisional nature of the review, further exploration of mechanism variables not extensively documented such as motivation to change and goal-setting behaviors would improve our understanding of MI and be consistent with the present realist approach.
Body mass index
Motivational Interviewing Treatment Integrity
The Sequential Code for Observing Process Exchanges (SCOPE) coding
Frieden TR, Dietz W, Collins J. Reducing childhood obesity through policy change: acting now to prevent obesity. Health Aff. 2010;29:357–63.
National Center for Health Statistics. Health, United States, 2010: with special features on death and dying. Hyattsville: U.S. Department of Health and Human Services; 2011.
Ogden CL, Carroll MD, Curtin LR, Lamb MM, Flegal KM. Prevalence of high body mass index in US children and adolescents, 2007-2008. JAMA. 2010;303(3):242–9.
Tremblay MS, Willms JD. Secular trends in the body mass index of Canadian children. Can Med Assoc J. 2000;163:1429–33.
Willms JD, Tremblay MS, Patzmarzyk PT. Geographic and demographic variation in the prevalence of overweight Canadian children. Obes Res. 2003;11:668–73.
World Health Organization. Population-based prevention strategies for childhood obesity: report of the WHO forum and technical meeting. Geneva: WHO Press; 2010.
Gemmill JL, Brown RJ, Nandagopal R, Rodriguez LM, Rother KI. Clinical trials in youth with type 2 diabetes. Pediatr Diabetes. 2011;12:50–7.
Hannon TS, Rao G, Arslanian SA. Childhood obesity and type 2 diabetes mellitus. Pediatrics. 2005;116:473–80.
Jessor R, Turbin MS, Costa FM. Protective factors in adolescent health behavior. J Pers Soc Psychol. 1998;75:788–800.
World Health Organization. (2000). Obesity: preventing and managing the global epidemic (No. 894). World Health Organization.
Pollak KI, Alexander SC, Ostbye T, Lyna P, Tulsky JA, Dolor RJ, Bravender T. Primary care physicians’ discussions of weight related topics with overweight and obese adolescents: results from the teen CHAT pilot study. J Adolesc Health. 2009;45:205–7.
Resnicow K, Davis R, Rollnick S. Motivational interviewing for pediatric obesity: conceptual issues and evidence review. J Am Diet Assoc. 2006;2024:33.
Morton K, Beauchamp M, Prothero A, Joyce L, Saunders L, Spencer-Bowdage S, et al. The effectiveness of motivational interviewing for health behaviour change in primary care settings: a systematic review. Health Psychol Rev. Taylor & Francis; 2015;9(2):205–23.
Burke BL, Dunn CW, Atkins DC, Phelps JS. The emerging evidence base for motivational interviewing: a meta-analytic and qualitative inquiry. J Cogn Psychother. 2004;18(4):309–22.
Martins RK, McNeil DW. Review of motivational interviewing in promoting health behaviors. Clin Psychol Rev. 2009;29:283–93.
Rubak S, Sandbæk A, Lauritzen T, Christensen B. Motivational interviewing: a systematic review and meta-analysis. Br J Gen Pract. 2005;55(513):305–12.
Cushing CC, Jensen CD, Miller MB, Leffingwell TR. Meta-analysis of motivational interviewing for adolescent health behavior: efficacy beyond substance use. J Consult Clin Psychol. 2014;82(6):1212–8.
Gayes LA, Steele RG. Comparison of two measures of weight criticism in youth: associations with physical activity engagement and attitudes, weight status, and health-related quality of life. J Pediatr Psychol. 2014;40(2):228–37.
Baer JS, Peterson PL. Motivational interviewing with adolescents and young adults. In: Miller WR, Rollnick S, editors. Motivational interviewing. Preparing people for change. 2nd ed. New York: The Guilford Press; 2002.
Miller WR, Rollnick S. Motivational interviewing. Preparing people for change. 2nd ed. New York: The Guilford Press; 2002.
Rollnick S, Miller WR, Butler C. Motivational interviewing in health care: helping patients change behavior. New York: The Guilford Press; 2008.
Walpole B, Dettmer E, Morrongiello B, McCrindle B, Hamilton J. Motivational interviewing as an intervention to increase adolescent self-efficacy and promote weight loss: methodology and design. BMC Public Health. 2011;11:459.
Prochaska JO, Velicer WF, Rossi JS, Goldstein MG, Marcus BH, Rakowski W, Ross SR. Stages of change and decisional balance for 12 problems of behaviors. Health Psychol. 1994;13:39.
Burke BL, Arkowitz H, Menchola M. The efficacy of motivational interviewing: a meta-analysis of controlled clinical trials. J Consult Clin Psychol. 2003;71:843.
Bandura A. Self-efficacy: the exercise of control. New York: Freeman & Company; 1997.
Dalton CC, Gottlieb LN. The concept of readiness to change. J Adv Nurs. 2003;42:108–17.
Prochaska JO, DiClemente CC. Transtheoretical therapy: toward a more integrative model of change. Psychother: Theory Res Pract. 1982;19(3):276–88.
Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48.
Prochaska James O, Redding CA, Evers KE. The transtheoretical model and stages of change. In: Glanz K, Lewis FM, Rimer B, editors. Health behavior and health education: theory, research, and practice. 4th ed. San Francisco: Jossey Bass Publishers; 2002. p. 99–120.
Littell JH, Girvin H. Stages of change: a critique. Behav Modif. 2002;26:223–73.
West R. The transtheoretical model of behaviour change and the scientific method. Addiction Wiley Online Library. 2006;101(6):774–8.
Herzog TA. Analyzing the transtheoretical model using the framework of Weinstein, Rothman, and Sutton (1998): the example of smoking cessation. Heal Psychol American Psychological Association. 2008;27(5):548.
Weinstein ND, Rothman AJ, Sutton SR. Stage theories of health behavior: conceptual and methodological issues. Heal Psychol. American Psychological Association. 1998;17(3):290.
Berridge KC, Robinson TE. Parsing reward. Trends Neurosci Elsevier. 2003;26(9):507–13.
Resnicow K, Taylor R, Baskin MCF. Results of Go Girls: a weight control program for overweight African American adolescent females. Obes Res. 2005;13(10):1739–48.
Story M, Neumark-Sztainer D, French S. Individual and environmental influences on adolescent eating behviors. J Am Diet Assoc. 2002;102:S40–51.
Jessor R. Adolescent development and behavioral health. In: Matarazzo JD, Weiss SM, Herd JA, Miller NE, Weiss SM, editors. Behavioral health: a handbook of health enhancement and disease prevention. New York: Wiley; 1984. p. 69–90.
Maggs JL, Schulenberg J, Hurrelmann K. Developmental transitions during adolescence: health promotion implications. In: Schulenberg J, Maggs JL, Hurrelmann K, editors. Health risks and developmental transitions during adolescence. New York: Cambridge University Press; 1997. p. 522–46.
DiClemente RJ, Hansen WB, Ponton LE. Handbook of adolescent health risk behavior. New York: Plenum Press; 1996.
Hanna K, Gutherie D. Adolescents’ behavioral autonomy related to diabetes management and adolescent activities/rules. The Diabetes Educator. 2003;29:283–91.
Williams PG, Holmbeck GN, Greenley RN. Adolescent health psychology. J Consult Clin Psychol. 2002;70:828.
Bonino S, Cattelino E, Ciairano S. Adolescents and risk behavior, functions, and protective factors. New York: Springer; 2005.
DiClemente RJ, Santelli JS, Crosby RA. Adolescent health: understanding and preventing risk behaviors. San Francisco: John Wiley & Sons Inc; 2009.
Umeh K. Understanding adolescent health behavior: a decision making perspective. New York: Cambridge University Press; 2009.
Pawson R, Greenhalgh T, Harvey G, Walshe K. Realist review—a new method of systemic review designed for complex policy interventions. J Health Serv Res Policy. 2005;10:21–34.
Suarez M, Mullins S. Motivational interviewing and pediatric health behavior interventions. J Dev Beh Pediatr. 2008;19:5.
Pawson R. Evidence-based policy: the promise of ‘realist synthesis’. Evaluation. 2002;8:340–58.
Pawson R, Greenhalgh T, Harvey G, & Walshe K. Realist synthesis: an introduction. Manchester: ESRC Research Methods Programme, University of Manchester; 2004.
Kazdin AE. Mediators and mechanisms of change in psychotherapy research. Annu Rev Clin Psychol. 2007;3:1–27.
Foote J, DeLuca A, Magura S, Warner A, Grand A, Rosenblum A, Stahl S. A group motivational treatment for chemical dependency. J Subst Abus Treat. 1999;17(3):181–92.
Ginsburg JI, Mann RE, Rotgers F, Weekes JR. Motivational interviewing with criminal justice populations. Motivational interviewing: Preparing people for change. 2002;2:333–47.
Deci EL, Ryan RM. Self-determination theory: when mind mediates behavior. The Journal of Mind and Behavior. 1980;1:33–43.
Markland D, Ryan RM, Tobin VJ, Rollnick S. Motivational interviewing and self–determination theory. J Soc Clin Psychol. 2005;24(6):811–31.
Deci EL, Ryan RM. The “what” and “why” of goal pursuits: human needs and the self-determination of behavior. Psychol Inq. 2000;11(4):227–68.
Vansteenkiste M, Sheldon KM. There’s nothing more practical than a good theory: integrating motivational interviewing and self-determination theory. Br J Clin Psychol. 2006;45(1):63–82.
Deci EL, Ryan RM. A motivational approach to self: integration in personality. In: Dienstbier RA, editor. Perspectives on motivation. Lincoln: University of Nebraska Press; 1991. p. 237–89.
Currie C, et al., editors. Social determinants of health and well-being among young people. Health Behaviour in School-aged Children (HBSC) study: international report from the 2009/2010 survey. Copenhagen: WHO Regional Office for Europe; 2012. (Health Policy for Children and Adolescents, No. 6)
Wong G, Greenhalgh T, Westhorp G, Buckingham J, Pawson R. RAMESES publication standards: realist syntheses. BMC Med. 2013;11(1):21.
Crabtree BF, Miller WL. Doing qualitative research. Thousand Oaks: Sage Publications; 1999.
Olson AL, Gaffney CA, Lee PW, Starr P. Changing adolescent health behaviors: the healthy teens counseling approach. Am J Prev Med. 2008;35(5):S359–64.
Black MM, Hager ER, Le K, Anliker J, Arteaga SS, Diclemente C, Gittelson J, Madger L, Papas M, Snitker S, Treuth MS, Wang Y. Challenge! Health promotion/obesity prevention mentorship model among urban black adolescents. Pediatrics. 2010;126(2):280–8.
Gourlan M, Sarrazin P, Trouilloud D. Motivational interviewing as a way to promote physical activity in obese adolescents: a randomised-controlled trial using self-determination theory as an explanatory framework. Psychol Health. 2013;28(11):1265–86.
Lee H, Kim Y. Effects of an obesity intervention integrating physical activity and psychological strategy on BMI, physical activity, and psychological variables in male obese adolescents. Behav Med. 2015;41(4):195–202.
Neumark-Sztainer D, Friend SE, Flattum CF, Hannan PJ, Story MT, Bauer PCA. New Moves—preventing weight-related problems in adolescent girls: a group-randomized study. Am J Prev Med. 2010;39:421–32.
Pakpour AH, Gellert P, Dombrowski SU, Fridlund B. Motivational interviewing with parents for obesity: an RCT. Pediatrics. 2015;135:3.
Mehlenbeck RS, Wember YM. Motivational interviewing and pediatric obesity BT. Handbook of childhood and adolescent obesity. In: Jelalian E, Steele RG, editors. Handbook of childhood and adolescent obesity. Boston: Springer US; 2008. p. 405–24.
Nansel TR, Laffel LM, Haynie DL, Mehta SN, Lipsky LM, Volkening LK, Butler DA, Higgins LA, Liu A. Improving dietary quality in youth with type 1 diabetes: randomized clinical trial of a family-based behavioral intervention. Int J Behav Nutr Phys Act. 2015;12(1):58.
Bean MK, Powell P, Quinoy A, Ingersoll K, Wickham EP, Mazzeo SE. Motivational interviewing targeting diet and physical activity improves adherence to paediatric obesity treatment: results from the MI values randomized controlled trial. Pediatric Obesity. 2015;10(2):118–25.
Carcone AI, Naar-King S, Brogan K, Albrecht T, Barton E, Foster T, Martin T, Marshall S. Provider communication behaviors that predict motivation to change in black adolescents with obesity. J Dev Behav Pediatr. 2013;34:8.
Carcone AI, Barton E, Eggly S, Hartlieb KE, Thominet L, Naar S. Exploring ambivalence in motivational interviewing with obese African American adolescents and their caregivers: a mixed methods analysis. Patient Educ Couns. 2016;99(7):1162–9.
Channon S, Huws-Thomas MV, Rollnick S, Hood K, Cannings-John RL, Rogers C, Gregory JW. A multicenter randomized controlled trial of motivational interviewing in teenagers with diabetes. Diabetes Care. 2007;30(6):1390–5.
Channon S, Huws-Thomas MV, Gregory JW, Rollnick S. Motivational interviewing in teenagers with diabetes. Clinical Child Psychology Psychiatry. 2005;10(1):43–51.
Berg-Smith SM, Stevens VJ, Brown KM, Van Horn L, Gernhorfer N, Peters E, Greenberg R, Snetselaar L, Ahrens L, Smith K. For the Dietary Intervention Study in Children (DISC) research group: a brief motivational intervention to improve dietary adherence in adolescents. Health education research theory Practice 1999; 14:3.
Ball GD, Mackenzie-Rife KA, Newton MS, Alloway CA, Slack JM, Plotnikoff RC, Goran MI. One-on-one lifestyle coaching for managing adolescent obesity: findings from a pilot, randomized controlled trial in a real-world, clinical setting. Paediatr Child Health. 2011;16(6):345–50.
Brennan L. Does motivational interviewing improve retention or outcome in cognitive behaviour therapy for overweight and obese adolescents? Obesity Res Clinical Practice. 2016;10(4):481–6.
Irby M, Kaplan S, Garner-Edwards D, Kolbash S, Skelton JA. Motivational interviewing in a family-based pediatric obesity program: a case study. Fam Sys Health. 2010;28:236–46.
Kirk S, Scott BJ, Daniels SR. Pediatric obesity epidemic: treatment options. J Am Diet Assoc. 2005;105:S44–51.
Flattum C, Friend S, Neumark-Sztainer D, Story M. Motivational interviewing as a component of a school-based obesity prevention program for adolescent girls. J Am Diet Assoc. 2009;109:91–4.
Brennan L, Walkley J, Wilks R. Parent-and adolescent-reported barriers to participation in an adolescent overweight and obesity intervention. Obesity. 2012;20(6):1319–24.
Davis MF, Shapiro D, Windsor R, Whalen P, Rhode R, Miller HS, Sechrest L. Motivational interviewing versus prescriptive advice for smokers who are not ready to quit. Patient Educ Couns. 2011;83(1):129–33.
Naar-King S, Ellis DA, Idalski Carcone A, Templin T, Jacques-Tiura AJ, Brogan Hartlieb K, Jen KLC. Sequential multiple assignment randomized trial (SMART) to construct weight loss interventions for African American adolescents. J Clin Child Adolesc Psychol. 2016;45(4):428–41.
MacDonell K, Brogan K, Naar-King S, Ellis D, Marshall S. (2012). A pilot study of motivational interviewing targeting weight-related behaviors in overweight or obese African American adolescents. J Adolesc Health. 2012;50:2.
Niemiec CP, Ryan RM. Autonomy, competence, and relatedness in the classroom: applying self-determination theory to educational practice. School Field. 2009;7(2):133–44.
Koestner R, Ryan RM, Bernieri F, Holt K. Setting limits on children's behavior: the differential effects of controlling vs. informational styles on intrinsic motivation and creativity. J Pers. 1984;52(3):233–48.
Lundahl BW, Kunz C, Brownell C, Tollefson D, Burke BL. A meta-analysis of motivational interviewing: twenty-five years of empirical studies. Res Soc Work Pract SAGE Publications Sage CA: Los Angeles, CA. 2010;20(2):137–60.
Shavers VL, Fagan P, Jones D, Klein WMP, Boyington J, Moten C, et al. The state of research on racial/ethnic discrimination in the receipt of health care. Am J Public Health. 2012;102(5):953–66.
Usher AM, McShane KE, Dwyer C. A realist review of family-based interventions for children of substance abusing parents. Syst Rev. 2015;4(1):177.
Williams GC, McGregor HA, Zeldman A, Freedman ZR, Deci EL. Testing a self-determination theory process model for promoting glycemic control through diabetes self-management. Health Psychol. 2004;23(1):58.
Copeland L, McNamara R, Kelson M, Simpson S. Mechanisms of change within motivational interviewing in relation to health behaviors outcomes: a systematic review. Patient Educ Couns Elsevier. 2015;98(4):401–11.
Armstrong MJ, Mottershead TA, Ronksley PE, Sigal RJ, Campbell TS, Hemmelgarn BR. Motivational interviewing to improve weight loss in overweight and/or obese patients: a systematic review and meta-analysis of randomized controlled trials. Obes Rev. Wiley online Library. 2011;12(9):709–23.
Miller WR, Rose GS. Toward a theory of motivational interviewing. Am Psychol. 2009;64:6.
Deci EL, Ryan RM. Self-determination theory in health care and its relations to motivational interviewing: a few comments. Int J of Behavioral Nutrition and Physical Activity. 2012;9(1):24.
Greaves CJ, Sheppard KE, Abraham C, Hardeman W, Roden M, Evans PH, et al. Systematic review of reviews of intervention components associated with increased effectiveness in dietary and physical activity interventions. BMC Public Health BioMed Central. 2011;11(1):119.
Knittle K, Nurmi J, Crutzen R, Hankonen N, Beattie M, Dombrowski SU. How can interventions increase motivation for physical activity? A systematic review and meta-analysis. Health Psychol Rev. 2018:1–20.
Brennan L, Walkley J, Fraser SF, Greenway K, Wilks R. Motivational interviewing and cognitive behavior therapy in the treatment of adolescent overweight and obesity: study design and methodology. Contemp Clin Trials. 2008;29(3):359–75.
Love-Osborne K, Fortune R, Sheeder J, Federico S, Haemer MA. School-based health center-based treatment for obese adolescents: feasibility and body mass index effects. Child Obes. 2014;10(5):424–31.
Lydecker JA, Cotter E, Gow RW, Kelly NR, Mazzeo SE. Preventing childhood obesity. In: Choate LH, editor. Eating disorders and obesity. Virginia: American Counseling Association; 2015.
Neumark-Sztainer D, Flattum CF, Story M, Feldman S, Petrich CA. Dietary approaches to healthy weight management for adolescents: the New Moves model. Adolesc Med. 2008;19:3.
Walpole B, Dettmer E, Morrongiello BA, McCrindle BW, Hamilton J. Motivational interviewing to enhance self-efficacy and promote weight loss in overweight and obese adolescents: a randomized controlled trial. J Pediatr Psychol. 2013;38(9):944–53.
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