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. Author manuscript; available in PMC: 2014 Oct 3.
Published in final edited form as: J Dev Behav Pediatr. 2013 Oct;34(8):599–608. doi: 10.1097/DBP.0b013e3182a67daf

Provider Communication Behaviors that Predict Motivation to Change in Black Adolescents with Obesity

April Idalski Carcone 1, Sylvie Naar-King 2, Kathryn Brogan 3, Terrance Albrecht 4, Ellen Barton 5, Tanina Foster 6, Tim Martin 7, Sharon Marshall 8
PMCID: PMC4184411  NIHMSID: NIHMS518766  PMID: 24131883

Abstract

Objective

The goal of this research was to identify communication behaviors used by weight loss counselors that mostly strongly predicted Black adolescents’ motivational statements. Three types of motivational statements were of interest: change talk (CT; statements describing their own desires, abilities, reasons, and need for adhering to weight loss recommendations), commitment language (CML; statements about their intentions or plans for adhering), and counter change talk (CCT; amotivational statements against change and commitment).

Method

Thirty-seven Black adolescents with obesity received a single Motivational Interviewing session targeting weight-related behaviors. The video-recorded, transcribed sessions were coded using the MY-SCOPE generating a sequential chain of communication. Data were then subjected to sequential analysis to determine causal relationships between counselor and adolescent communication.

Results

Asking open-ended questions to elicit adolescent CT and emphasizing adolescents’ autonomy most often led to CT. Open-ended questions to elicit CML, reflecting adolescent CML, and emphasizing autonomy most often led to CML. In contrast, open-ended questions to elicit CCT, reflecting CCT, reflecting ambivalence, and neutral open-ended questions about the target behavior led to CCT.

Conclusion

This study provides clinicians with insight into the most effective way to communicate with Black adolescents with obesity about weight loss. Specifically, reflective statements and open questions focusing on their own desires, abilities, reasons, need and commitment to weight loss recommendations are more likely to increase motivational statements whereas other types of reflections and questions may be counterproductive. Finally, because adolescents have a strong need for autonomous decision-making, emphasizing their autonomy may be particularly effective in evoking motivational statements.

Keywords: Patient-Provider Communication, Adolescents, Obesity


Rates of pediatric obesity have steadily risen over the past 30 years, particularly among minority children1. To illustrate, rates of overweight (≥85th percentile BMI) Black children (6–11 year olds) increased five-fold (4% to 20%) from 1971 to 2002 compared to a three-fold increase (4% to 13%) among White children1. Current estimates suggest this disparity has persisted and is growing. In 2009–2010, 41.2% of Black adolescents (12–19 year olds) were overweight versus 30.0% of White adolescents.

Despite widespread knowledge of these rates and the disparity among ethnic groups, few interventions to treat obesity have targeted this high-risk group. Most clinical trials have focused on White and/or suburban samples and when minorities have participated, they have been at high risk for drop-out2. Community weight loss programs have demonstrated similar results3. In general, ethnic minority youth underutilize services4,5, terminate treatment prematurely68, attend fewer sessions9, and realize fewer clinical benefits10. The few studies focusing on minority youth have not shown sustainable weight loss1114.

While there are likely many possible explanations for why interventions targeting Black adolescents with obesity were unsuccessful, poor adherence to treatment recommendations is an important factor. Poor adherence with behavioral intervention components, such as monitoring food intake or activity level, has been repeatedly shown to predict poor outcomes in pediatric weight loss clinical trials15,16 and among Black adolescents with obesity specifically. Germann et al17 demonstrated significantly greater weight loss among Black adolescents in families who more consistently monitored food intake than those who self-monitored less often. Similarly, retention in one arm of the Bright Bodies trial14 was so poor it was discontinued, primarily because families did not want to adhere to recommendations for using structured family meal planning. Furthermore, structured diets with reduced caloric intake were not included as part of the Go Girls weight loss program because early focus group data indicated the target population opposed this recommendation12. Feasibility work for the current study targeting the same urban, minority population found initial youth motivation for engaging in weight loss behaviors, such as making changes to their diet and exercise, predicted treatment dose (number of sessions attended) which, in turn, predicted youth weight loss at the conclusion of the trial18. These studies suggest that motivation to adhere to weight loss recommendations is an important barrier in adolescent obesity treatment.

The importance of patient-provider communication has long been highlighted in the chronic illness literature1926. The Institute of Medicine27 reports that communication is a key clinical skill, but few guidelines exist to help clinicians and health care systems communicate effectively with patients. Motivational Interviewing (MI) provides a highly specified framework for improving patient-provider communication28. MI is a method of communication using client-centered yet directive methods for enhancing intrinsic motivation and self-efficacy29. Pollak et al30 demonstrated that adult patients whose physicians used MI communication behaviors during weight-related discussions lost weight three months post-encounter and physicians who used MI-inconsistent techniques had patients who gained or maintained weight. Use of MI is now included in the expert recommendations for pediatric obesity prevention and treatment31.

The principles of MI, including providing empathy, collaborating with clients, and supporting client autonomy, are consistent with the elements of patient-centered care32 and consensus recommendations for working with clients from different cultures in obesity treatment33. Two meta-analyses have indicated that MI was more effective with Blacks compared to Whites34,35 suggesting its relevance as a framework for patient-provider communication in health disparity populations.

Thus, to date, there has been limited focus on issues such as 1) how to identify client CT and CML in adolescent minority samples and 2) whether provider communication behaviors thought to elicit patient CT and CML in an MI framework may differ for minority adolescents struggling with weight loss. The current study uses an innovative methodology, sequential analysis, to identify the clinical care provider communication behaviors most strongly predictive of Black adolescents’ motivation for weight loss as indicated by their CT and CML language utterances. We also analyzed relationships between provider communication and CCT.

METHOD

The goal of this research was to identify interventionist communication patterns that are most effective in promoting intrinsic motivation, i.e., change talk (CT) and commitment language (CML), to adhere to weight loss recommendations. This study took place in the City of Detroit where the rates of obesity are consistent with national trends. Specifically, the 2009 CDC Youth Risk Behavior Surveillance System (YRBSS)36 indicated that 40.4% of Detroit high school students were overweight or obese. Detroit also has one of the highest percentages of Blacks of any major U.S. city (76%) despite recent drops in overall population37.

Participants

Participants were recruited primarily from the adolescent medicine, pediatric medicine, and endocrinology clinics at a large urban teaching hospital; a small number (<20%) were recruited from community-based sites including local health fairs and schools. Youth and their primary caregivers meeting the following inclusion criteria were eligible for the study: 1) BMI (kg/m2) ≥ 95th percentile, 2) self-identified Black, and 3) age 12.0 to 17.0. Exclusion criteria were 1) obesity secondary to medication used for another disorder, e.g. steroids, antipsychotics, 2) comorbid medical condition that prevented participation in normal exercise, 3) pregnancy or a medical condition where weight loss is contraindicated, 4) comorbid thought disorders, i.e. schizophrenia, autism, 5) moderate or severe mental retardation (MR), and 6) psychosis or current suicidality.

A total of 40 adolescents and their primary caregivers participated. Three families were excluded from this analysis because they were accompanied to the intervention session by two caregivers and the communication code scheme was not designed to code intervention sessions that include more than one caregiver. The mean adolescent participant age was 14.7 (SD=1.63) and 27 were female. At study entry, the average adolescent participant BMI was 38.5 (SD=8.33) which corresponded to an average BMI percentile of 98.6% (SD=1.99%). Most adolescents were accompanied to the intervention session by their biological mother (n=33) and most lived in two-parent homes (n=25). The median family income was $16,000–$21,999 and ranged from less than $1,000 to $50,000–$74,999. All guardians provided informed consent and adolescents provided assent. The research was approved by the Institutional Review Board affiliated with the academic institution.

Motivational Interviewing Intervention for Adolescent Obesity

Each family participated in a single MI session provided by one of three weight loss counselors highly trained in MI and members of the Motivational Interviewing Network of Trainers (one Ph.D. psychologist, one Ph.D. dietitian and one Masters-level psychologist). This 60 minute session was adapted from a four session MI intervention found to be effective in changing weight-related behaviors in Black youth18. Weight loss counselors met with the adolescent separately for the first 30 minutes of the session (M = 29:47 minutes, SD = 8:30). Counselors used MI skills to support adolescent autonomy and elicit and reinforce change talk, discussed the patient’s view of his/her weight status, delivered personalized BMI feedback, and guided the adolescent to set behavioral goals for nutrition and physical activity consistent with the his/her level of motivation for change. With permission, a written or oral change plan was completed by each participant, and then shared with the caregiver at the end of the session. The counselor then met with the caregiver alone (20 minutes) to discussion their own weight loss goals and how they might support their child's weight loss goals. The session concluded by bringing the adolescent and caregiver together (10 minutes) to discuss their respective plans together. Only the portion of the session where the counselor met with the adolescent alone were used in these analyses.

All sessions were video recorded using a video recording system featuring digital processing technology that allows simultaneous recording of the adolescent and provider resulting in a split-screen image on a single monitor format38. The system includes high-resolution, digital video cameras with wide-angle lenses housed in custom enclosures with external microphones, and remote monitoring and recording capabilities. Camera units, mounted within the walls of the consult room, are remotely monitored and controlled (real-time) from a private, secure location.

Minority Youth Sequential Coding for Observing Process Exchanges (MY-SCOPE)

An interdisciplinary team consisting of a clinical psychologist and a nutrition scientist (both members of the Motivational Interviewing Network of Trainers); a communication scientist, a linguist, and a community health worker comprised the code scheme development team. The team was trained in the original Motivational Interviewing Sequential Code for Observing Process Exchanges (SCOPE)39 originally developed for coding patient-provider communication sequences in adult substance abuse treatment. The team met regularly over the course of one year to qualitatively review transcripts of MI sessions with four Black adolescents with obesity and their caregivers (two of whom achieved successful weight loss and two who did not). During this process the original SCOPE was adapted to include 1) culturally relevant examples of CT and CML specific to Black adolescents with obesity and caregivers; 2) examples of CT and CML for the pertinent target behaviors (weight loss, healthy nutritional changes, increased physical activity); 3) new codes for provider communication behaviors that had not been included in existing coding schemes (e.g., emphasizing autonomy, eliciting feedback). The result of this work was the Minority Youth Sequential Coding for Observing Process Exchanges (MY-SCOPE).

The MY-SCOPE was then applied to ten of the single-session MI interventions conducted for the current study. Two coders coded one intervention session each week for a total of 10 interviews. The team discussed all coding discrepancies (defined as codes that fell below 95% agreement) on a weekly basis. The MY-SCOPE manual was revised concurrently based on these discussions. The initial test of inter-rater reliability was conducted by having both coders code the same five intervention sessions. The inter-rater reliability, as assessed by Cohen’s kappa, was good (κ=.778), thus, coding proceeded with the full dataset.

The primary coder coded all 37 MI intervention sessions using the MY-SCOPE. A second coder coded one randomly selected session out of every five sessions to assess inter-rater reliability (IRR). Group consensus meetings, including the coders and a minimum of two investigators, occurred monthly throughout the coding process to discuss discrepancies. IRR was calculated periodically on the sample and if needed (i.e., IRR fell below .6), a booster training was initiated, and transcripts were re-coded until an adequate IRR was reached. One booster training was required during this process and reliability across all seven co-coded sessions yielded an IRR coefficient of k=.696.

Once coded, the expected joint frequencies of the adolescent and counselor communication behaviors were examined to determine if each cell of the contingency table met the test assumption of a minimum of five joint behaviors expected per cell. Several code combinations failed to meet this assumption resulting in a number of individual codes being merged together, e.g., adolescents’ “other statements”. Table 1 describes the final MY-SCOPE codes used in the analysis.

Table 1.

MY-SCOPE Codes

Code Description
Adolescent Communication Behaviors
Change Talk (CT) A statement describing the precursors to effecting change toward the target behavior, such as the adolescent’s current desire, ability, reasons, and need for change.
Commitment Language (CML) A statement describing a current or future agreement, intention, or obligation to take action towards the target behavior; examples of adolescent commitment language include “going to”, “stick (with)”, “focus” and “keep”, see Amrhein1 for a comparison with adult commitment language.
Counter Change Talk (CCT) Statements describing a current or future agreement, intention, or obligation to avoid or take action against the target behavior (negative commitment language) or statements describing the precursors to not changing the target behavior, such as the adolescent’s desire, ability, reasons, and need to not change (negative change talk).
Other Statements (O) Includes all other adolescent statements: 69% were low uptake statements (brief statements that do not develop the topic of conversation but allows it to continue, e.g., “ok”, “yeah”, “mmm-hmm”), 30% were high uptake statements (statements that may develop the topic of the conversation by recounting past actions of commitment, change talk, and ambivalence that may be related or unrelated to the target behavior), and 1% were blunting (statements that end topic development, often in response to threatening information, by refusing to continue or deflecting the development of the topic, usually by changing the topic.)

Motivational Interviewing-Consistent Counselor Communication Behaviors
Structure Session (SS) Statements that describe what will happen in the current or subsequent sessions, transition to another part of the session, or refocus a straying conversation back to weight loss.
Positive Information (INFO+) Statements that provide advice, make suggestions, offer solutions/possible action, give feedback, express a concern, or offer educational information delivered in a productive way, i.e., seeking permission, giving the option to reject the information before providing the information, offering a menu of options, expressing genuine concern.
Emphasize Autonomy (EA) Statements that directly acknowledge, honor, or emphasize the client's freedom of choice, autonomy, personal responsibility, etc.
Elicit Feedback (EF) Statements that solicit the adolescent’s thoughts, ideas, or feelings about a specific recommendation or piece of information.
Affirmation (AF) Positive or complimentary statements that express appreciation, confidence or reinforce the adolescent’s strengths or efforts.
Reflections of Change Talk (R-CT) A reflective listening statement that captures and returns an adolescent’s statement or behavior from the current or a previous session that describes the adolescent’s desire, ability, reasons or need for change or past action or barriers to change.
Reflections of Commitment Language (R-CML) A reflective listening statement that captures and returns an adolescent’s statement or behavior from the current or a previous session that describes current or future action or references barriers to changing.
Reflections of Ambivalence (RA) A reflective listening statement that captures and returns an adolescent’s utterance or behavior from the current or previous session that describes simultaneous, contradictory attitudes or feelings toward change, i.e., utterances or behaviors that are both for and against the target behavior.
Action Reflection (AR) Statements that reflect back the adolescent’s statement(s) while at the same time embedding a solution to a barrier or an action plan.
Summary (SUM) A reflective listening statement that captures and returns at least two different ideas from an adolescent’s utterance or behavior from the current session.
Open Questions to Elicit Change Talk (OQ-ECT) Open-ended questions, i.e., those that allow a wide range of possible answers, that ask about the adolescent’s desire, ability, reasons or need for change or that reference past action towards behavior change or barriers to change.
Open Questions to Elicit Commitment Language (Q-ECML) Open-ended questions, i.e., those that allow a wide range of possible answers, that ask about current or future action towards behavior change or reference barriers to change.
Closed Questions to Elicit Commitment Language or Change Talk (CQ-ECMLCT+) Closed-ended questions, i.e., those that imply a short answer such as yes or no, a specific fact or number, or when a restricted range of expected responses is provided, that ask about the adolescent’s desire, ability, reasons or need for change or that reference past action towards behavior change or barriers to change or current or future action towards behavior change or reference barriers to change.
Neutral Open Question about the Target Behavior (OQ-TBN) Open-ended questions, i.e., those that allow a wide range of possible answers, that ask about the target behavior without a specific slant towards eliciting change talk or counter change talk.

Motivational Interviewing-Inconsistent Counselor Communication Behaviors
Reflections of Counter Change Talk (RCCT) Reflective listening statements that capture and return an adolescent’s statement or behavior from the current or a previous session that describes current or future action against change or references barriers to changing (negative commitment) or that describes the adolescent’s desire, ability, reasons or need against change or past actions against change or barriers to change (negative change talk).
Other Reflections (RO) A reflective listening statement that captures and returns an adolescent’s utterance or behavior from the current or previous session that is unrelated to the target behavior.
Open Questions to Elicit Counter Change Talk (OQ-CCT) Open-ended questions, i.e., those that allow a wide range of possible answers, that ask about the adolescent's current or future action against change or references barriers to changing (negative commitment) or that describes the adolescent’s desire, ability, reasons or need against change or past actions against change or barriers to change (negative commitment)
Other Questions (OQ) Open or close-ended questions unrelated to the target behavior.
Other Statements (OS) Any other counselor statement unrelated to the target behavior.

Data Analysis

To address the causal question of which counselor communication behaviors elicited statements indicative of adolescent intrinsic motivation, the data were analyzed using sequential analysis40,41. Sequential analysis is a well-established method of organizing and analyzing observed behavioral data in an attempt to understand the sequence in which behaviors occur42. Sequential analysis uses traditional statistical analyses to determine the statistical significance of the pattern of observed behavioral sequences, e.g., Chi Square Test of Association. It also generates a number of unique indexes of sequential patterning, e.g., transition probabilities, that can be used as variables in appropriate statistical procedures.

The Generalized Sequential Querier (GESQ; http://www2.gsu.edu/~psyrab/gseq/index.html) was used to generate sequential statistics for this analysis. Of primary interest were the transition probabilities between counselor communication behaviors and adolescent statements of intrinsic motivation. A transition probability is a conditional probability relating the state of a system (i.e., an intervention session) at some time (t1) to its state at another time (t2), where the difference between t1 and t2 is termed the lag. In this analysis, we examined the transition probabilities at lag 1 which corresponds to the adolescent statements immediately following any given counselor communication within a given treatment session. In this way, the analysis identifies the provider communication behaviors that significantly predict the occurrence of CT or CML in the next adolescent utterance. To determine the statistical significance of the transition probabilities, the adjusted residuals and their associated probability values were examined to evaluate the extent to which the transition probabilities were more or less probable than expected by chance41.

RESULTS

Table 2 presents the transition and marginal frequencies for the adolescent and counselor communication behaviors. The counselor utterances are considered, for this study, the antecedent events and, therefore, are presented in rows and the subsequent adolescent utterances are presented in columns. There were 2,694 transitional events coded across the 37 sessions; or an average of 73 (SD = 23.7) counselor-to-adolescent communication sequences per session. The most common adolescent utterance observed was the “other” utterance and the most common counselor utterances were open-ended questions to elicit CT. The least common adolescent and counselor utterances were CCT and action reflections, respectively.

Table 2.

Transition and Marginal Frequencies of Adolescent and Counselor Communication Behaviors in the 37 Single Motivational Interviewing Sessions

Given: Counselor Communication Behavior Target: Teen Communication Behavior
Change
Talk
(CT)
Commitment
Language
(CML)
Counter
Change
Talk
(CCT)
Other
Statements
Total
Structure Session 25 7 1 91 124
Positive Information 26 11 8 80 125
Emphasize Autonomy 127 66 18 125 336
Elicit Feedback 26 9 12 87 134
Affirmation 23 20 8 69 120
Reflections of Change Talk 107 17 26 180 330
Reflections of Commitment Language 19 47 4 80 150
Reflections of Ambivalence 12 6 18 18 54
Reflections of Counter Change Talk 14 8 23 37 82
Action Reflection 11 3 5 31 50
Summary 14 5 11 53 83
Other Reflections 13 10 16 68 107
Open-Ended Questions to Elicit Change Talk 233 37 34 73 377
Open-Ended Questions to Elicit Commitment Language 38 112 11 27 188
Close-Ended Questions to Elicit Commitment Language or Change Talk 29 9 5 45 88
Neutral Open-Ended Questions about Target Behavior 28 11 17 15 71
Open-Ended Questions to Elicit Counter Change Talk 16 6 42 16 80
Other Questions 11 4 9 64 88
Other Statements 26 13 16 52 107
Total 798 401 284 1211 2694

Notes: Χ2 (48)= 975.744, p=<.001

To answer the sequential question of which counselor communication behaviors were most strongly predictive of adolescent motivational statements, the transition probabilities for the adolescent and counselor communication behaviors at lag 1 were generated. Table 3 presents these results. Similar to Table 2, the antecedent counselor utterances are presented in rows and the subsequent adolescent utterances are presented in columns. To illustrate, the probability that an adolescent’s utterance will be CT after a counselor asks an open-ended question to elicit CT is .62. This means that 62% of the time a counselor’s open-ended question to elicit CT was followed by an adolescent uttering CT. Thus, transition probabilities can be directly interpreted as the percentage of time a counselor utterance results in a particular adolescent utterance. Therefore, according to Table 3, when a counselor asks an open-ended question to elicit CT, 62% of the time an adolescent will respond with CT and 10% of the time with CML.

Table 3.

Transition Probabilities of the Joint Frequency of Adolescent and Counselor Communication Behaviors

Target: Teen Communication Behavior

Given: Counselor Communication Behavior Change
Talk (CT)
Commitment
Language
(CML)
Counter
Change
Talk
(CCT)
Other
Statements
Structure Session 0.20 0.06†† 0.01††† 0.73***
Positive Information 0.21 0.09 0.06 0.64***
Emphasize Autonomy 0.38*** 0.20** 0.05†† 0.37††
Elicit Feedback 0.19 0.07†† 0.09 0.65***
Affirmation 0.19†† 0.17 0.07 0.58**
Reflections of Change Talk 0.32 0.05††† 0.08 0.55***
Reflections of Commitment Language 0.13††† 0.31*** 0.03†† 0.53*
Reflections of Ambivalence 0.22 0.11 0.33*** 0.33
Reflections of Counter Change Talk 0.17 0.10 0.28*** 0.45
Action Reflection 0.22 0.06 0.10 0.62*
Summary 0.17†† 0.06 0.13 0.64***
Other Reflections 0.12††† 0.09 0.15 0.64***
Open-Ended Questions to Elicit Change Talk 0.62*** 0.10†† 0.09 0.19†††
Open-Ended Questions to Elicit Commitment Language 0.20†† 0.60*** 0.06 0.14†††
Close-Ended Questions to Elicit Commitment Language or Change Talk 0.33 0.10 0.06 0.51
Neutral Open-Ended Questions about Target Behavior 0.39 0.16 0.24*** 0.21†††
Open-Ended Questions to Elicit Counter Change Talk 0.20 0.08 0.53*** 0.20†††
Other Questions 0.16††† 0.05†† 0.10 0.73***
Other Statements 0.24 0.12 0.15 0.49
*

More probable than expected by chance at p ≤ .05;

**

More probable than expected by chance at p ≤ .01;

***

More probable than expected by chance at p ≤ .001;

Less probable than expected by chance at p ≤ .05;

††

Less probable than expected by chance at p ≤ .01;

†††

Less probable than expected by chance at p ≤ .001

The Chi Square Test of Association for the transition probability matrix suggested that the pattern of results was significant, Χ2(48)= 975.744, p=<.001. An examination of the probabilities associated with the transitions identified the counselor communication behaviors most often leading to CT: asking open-ended questions to elicit adolescent CT and statements emphasizing adolescents’ autonomy. Other types of open-ended questions did not significantly elicit CT.

Counselor: I’m not really here to tell you what to do or to tell you how to do things, but really, to figure out what it is that you want and the best way to make that happen. (EA)

Teen: Okay. Starting by how to lose weight. (CT)

In addition to emphasizing autonomy, the counselor communication behavior most often leading to CML were open-ended questions to elicit CML, and again other types of open-ended questions did not elicit CML.

C: How are you able to do that, when you’re over there (family member’s house)? (OQ-ECML)

T: I just, there’s cake right there. And then take my, like, her house is right here. There’s a park, like, right across the street from her. So, I usually take the kids over there and they play. I just play with then. Like, I see the cake and I want it, but I’m not going to do it. (CML)

Counselors’ reflections of CML led to further adolescent CML.

Counselor: So, you’re doing, again, stuff that’s active now. But in your head, it does sound like it’s, you know, that the exercise thing, doing a little bit more is kind of where you’re moving towards a bit. (R-CML)

Teen: Yeah. And I told her, I said that I was going to cut down on the greasy stuff, like fried chicken and hamburgers. I haven’t had none of that in a while. (CML)

The counselor communication behaviors most often leading to CCT were open-ended questions to elicit CCT, neutral open-ended questions about the target behavior, and reflections of ambivalence.

Counselor: You know you mentioned a few times that you would like to add in some more vegetables in there, and that there are some that you do like but there are some that you don’t like. (RA)

Teen: Green peas. Don’t like them. (CCT)

Reflections of adolescent CCT also led to further CCT.

Counselor: She’s kind of bugging you about it and it makes you not want to do it. (R-CCT)

Counselor: I don’t like when people keep bugging me about stuff. I would be about to do it and they keep on saying it, so I don’t. (CCT)

DISCUSSION

Sequential analysis methods yield important information about the specific counselor communication behaviors that promote motivation. Sequential communication research to date has typically focused on adults, mostly in substance abuse settings. This study is the first to examine communication exchanges in minority adolescents participating in a weight loss intervention. The number of counselor-to-adolescent communication transitions was consistent with previous sequential communication research in adult populations. To illustrate, Moyers and Martin43 observed an average of 120 counselor-to-client communication transitions in one hour sessions with adults with alcoholism as compared to the 73 counselor-to-adolescent communication sequences per half-hour session in this study.

Most previous MI research has focused on the use of open-ended questions versus closed-ended questions and the use of reflections versus questions4345. In fact, the most common measure of MI fidelity relies on a count of all open-questions and reflections regardless of content46. However, the current study suggests that the content of the reflections and questions may be even more important than the type of statement as both reflections and open questions about CT and CML were more likely to elicit CT and CML than other types of reflections and questions. In fact, open questions about CCT, neutral open questions, and reflections of ambivalence were more likely to elicit CCT. Thus, not only is the specific type of questions important, i.e., open questions, but the selective reinforcement of CT versus CCT or change talk with reflective statements appears to be critical to building motivation in this population. These findings are consistent with the few sequential analyses of adult MI sessions that focused on the content or specificity of counselor utterances43,47 and suggest that MI training and fidelity measures should focus on the content of reflections and questions and not just the count or ratio of these utterances to other statements.

Beyond reflections and questions, certain provider behaviors were particularly relevant to predicting CT and CML in minority adolescents. Provider statements emphasizing adolescents’ autonomy, or personal choice in making health-related decisions (e.g., it is really up to you what changes you want to make; nobody can make these decisions for you) were highly predictive of adolescent CT. This finding is consistent with both previous MI research44 and the adolescent development literature. The negotiation of autonomy during adolescence is an opportune time for health care providers to actively engage adolescents in their own health care decision-making48. Rather than asserting their autonomy through engaging in risk-taking behaviors, clinicians can encourage adolescent autonomy though engaging in health-promoting behaviors. Improved patient-provider relationships might lead to better treatment retention and outcomes among ethnic minority youth who typically attend fewer sessions9, terminate treatment prematurely68, and realize fewer clinical benefits10 than their majority peers.

The importance of autonomy is also consistent with the growing theoretical literature describing the mechanisms by which MI works and contributes specifically to understanding how MI might work with adolescents. An emphasis on autonomy for effecting behavior change is a principle tenet of Self-Determination Theory (SDT), the theoretical model underpinning MI49. According to SDT, individuals have an innate need to experience one’s behavior as self-regulated and self-endorsed50, a need that is particularly pronounced during adolescence when establishing autonomy is of primary concern. Hence, supporting adolescents’ autonomy may be associated in intrinsic motivation to engage in a behavior51 which, in turn, has been linked to more positive outcomes52.

On the other hand, certain MI-consistent behaviors were unexpectedly unrelated to CT and CML. Affirming statements were not effective in eliciting CT and CML. While affirming statements may have other purposes, such as increasing therapeutic alliance, it is possible that in Black adolescents, they are unlikely to increase motivation for change. It is possible that affirming statements are perceived as praise, and are not taken seriously from a provider who is new to the family. Others have noted that adolescents may perceive affirming statements as provider enthusiasm about change that the adolescent may not be prepared to make53. Similarly, summaries, a key MI communication skill, were not associated with motivational statements. Adolescents may be more affected by communication in the moment rather than statements that link communication over the course of the session. Finally, information, even when provided in an MI style, had low probability of eliciting CT and CML. However, information may still be necessary to promote behavior change among a population with potentially low levels of knowledge about weight loss behaviors, and when provided in an MI style (e.g., asking for permission, eliciting patient’s reaction) did not result in CCT in this high risk group.

Regardless of the possible reasons for certain MI skills to be unrelated to motivational statements, the empirically-based focus on particular MI skills relevant to increase motivation among Black adolescents with obesity has significant training implications. Research suggests that MI is not easy to learn. Research is beginning to shed light on what training is necessary to obtain fidelity to MI. Two studies54,55 found that while an MI training workshop improved some components of MI, technical skills coded from audio recordings remained below competency. A recent review of 10 studies in health care settings56 suggested that MI workshops significantly improved MI skills compared to controls; however, workshops were not sufficient for trainees to achieve competency. It is possible that focusing training on fewer skills in the same period of time may increase competency in those skills particularly relevant for Black adolescents struggling with weight loss. For example, instead of training in the four key communication skills: Open questions, affirmations, reflections and summaries, a trainer can focus only on open questions and reflections and ensure that the content of those behaviors includes CT and CML. Future studies could compare a tailored training based on these types of analyses with a standard MI training, and assess outcomes in terms of competency and patient outcomes.

The results of this research are limited by a convenience small sample, though observational coding yields large amounts of data and sample size was similar to other MI studies using sequential analysis43,44. A larger sample size may allow the full coding scheme to be examined, as fewer codes would need to be collapsed due to low frequency (e.g., separating codes within the “other” category such as blunting). Adolescents participated in a single MI session. Additional research is needed to determine if the patterns identified in this study are consistent over time as adolescents and counselors work together toward weight loss or if different patterns emerge as their relationship evolves and progress toward weight loss unfolds. Sessions were provided by MI experts, and few codes inconsistent with the MI framework had large enough frequencies to be included in analyses. Future research is needed to examine the patterns of adolescent communication with less experienced providers and with other provider types within health care settings. Given that much of weight loss treatment includes parents, future studies are necessary to determine the links between provider communication and parent motivation for supporting the adolescent. Finally, although the link between CT and CML and behavior change has been shown primarily in substance abuse settings, more studies are needed to link actual CT and CML with behavior change in adolescent obesity. Despite these limitations, this study provides a number of insights into how clinical care providers might increase motivation for changing weight-related behaviors in Black adolescents.

Figure 1.

Figure 1

Mechanism of Change in Motivational Interviewing

Acknowledgments

This research was funded by NHLBI (1U01HL097889-01 Naar-King & Jen, PIs) and the Karmanos Cancer Institute Behavioral and Field Research Core (P30CAP30CA022453-23 Bepler, PI).

Footnotes

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Contributor Information

April Idalski Carcone, Pediatric Prevention Research Center, Department of Pediatrics, Wayne State University School of Medicine, Detroit, Michigan.

Sylvie Naar-King, Pediatric Prevention Research Center, Department of Pediatrics, Wayne State University School of Medicine, Detroit, Michigan.

Kathryn Brogan, Pediatric Prevention Research Center, Department of Pediatrics, Wayne State University School of Medicine, Detroit, Michigan.

Terrance Albrecht, Karmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine.

Ellen Barton, Department of English, Wayne State University, Detroit, Michigan.

Tanina Foster, Karmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine, Detroit, Michigan.

Tim Martin, Department of Psychology, Kennesaw State University, Kennesaw, Georgia.

Sharon Marshall, Department of Pediatrics, Wayne State University School of Medicine, Detroit, Michigan.

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