Mindfulness-Based Intervention for Adolescents With Type 1 Diabetes: A Case Series.
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
Mindfulness-Based Intervention for Adolescents With Type 1 Diabetes: A Case Series - PMC Skip to main content An official website of the United States government Here's how you know Here's how you know Search Log in Primary site navigation Search Log in Search PMC Full-Text Archive Search in PMC Journal List User Guide As a library, NLM provides access to scientific literature. Inclusion in an NLM database does not imply endorsement of, or agreement with, the contents by NLM or the National Institutes of Health. Learn more: PMC Disclaimer | PMC Copyright Notice Clin Pract Pediatr Psychol . Author manuscript; available in PMC: 2026 Jun 1. Published in final edited form as: Clin Pract Pediatr Psychol. 2025 Jun 1;13(2):189–198. doi: 10.1177/21694826251319328 Mindfulness-Based Intervention for Adolescents With Type 1 Diabetes: A Case Series Francesca Lupini 1, 2 , Hailey Moore 1 , Molly Basch 3, 4 , Jack Vagadori 1 , Frances Cooke 1, 5 , Katherine Patterson Kelly 6, 4 , Randi Streisand 1, 4 , Lauren Shomaker 7, 8, 9 , Mesgana Dagnachew 1 , Daniel K Cooper 2 , Eleanor R Mackey 1, 4 Author information Article notes Copyright and License information 1 Division of Psychology, Children’s National Hospital, Washington, DC, USA 2 Department of Psychology, University of South Carolina, Columbia, SC, USA 3 Division of Adolescent & Young Adult Medicine Children’s National Hospital, Washington, DC, USA 4 Department of Psychology, The George Washington University School of Medicine, Washington, DC, USA 5 Department of Psychology, The Catholic University of America, Washington, DC, USA 6 Department of Nursing Science, Professional Practice, & Quality, Children’s National Hospital, Washington, DC, USA 7 Department of Human Development & Family Studies, Colorado State University, Fort Collins, CO, USA 8 Department of Pediatrics, Section of Endocrinology, University of Colorado Anschutz Medical Campus/Children’s Hospital Colorado, Aurora, CO, USA 9 Department of Community and Behavioral Health, Colorado School of Public Health, Aurora, CO, USA ✉ Corresponding Author: Francesca Lupini, Department of Psychology, University of South Carolina, 1512 Pendleton St, Columbia, SC 29208, USA. flupini@email.sc.edu Issue date 2025 Jun. Article reuse guidelines: sagepub.com/journals-permissions PMC Copyright notice PMCID: PMC12456681 NIHMSID: NIHMS2070709 PMID: 40994697 The publisher's version of this article is available at Clin Pract Pediatr Psychol Abstract Objective: Adolescents with type 1 diabetes (T1D) have risk for elevated negative affect, and mindfulness-based interventions (MBI) may be effective interventions. The aim of this case series was to (1) highlight individual changes in negative affect (depression, anxiety, and stress), mindfulness, and diabetes outcomes (diabetes distress, diabetes self-management, and HbA1c) after participating in an MBI and (2) highlight the utility of MBI in historically marginalized populations. Methods: Cases were chosen from a sample of adolescents with T1D and elevated negative affect who took part in a pilot randomized controlled trial of an MBI. Individuals were selected due to adherence to study protocol, similar baseline scores on target outcomes, and demographic similarities that indicate historical marginalization. The participants were two 12–14-year-old girls with T1D, one identifying as Black/African American, “Jayla,” and one identifying as biracial Latinx/Hispanic, “Valerie” who participated in a 6–7 session virtual group MBI. Participants completed surveys at baseline, post-intervention, and three months post-intervention. Results: Jayla and Valerie demonstrated improvements in multiple domains including depression, anxiety, stress, mindfulness, diabetes distress, and diabetes self-management. We observed small improvements in HbA1c and disordered eating in Valerie, but not in Jayla. Conclusions: This case series demonstrates the potential utility of MBI in adolescents with T1D and negative affect, particularly those experiencing increased burden of SDOH. Keywords: type 1 diabetes, mindfulness, negative affect, historically marginalized populations Introduction Type 1 diabetes (T1D) is a common chronic illness among children, impacting approximately 200,000 youth in the United States each year ( Mayer-Davis et al., 2017 ). T1D is characterized by a daily management regimen consisting of insulin administration (either via manual injections or managing an insulin pump), regular blood glucose monitoring using a blood glucose monitor or continuous glucose monitor (CGM), and constant oversight of food intake and exercise. Self-management and glycemic control typically worsen during adolescence ( Rausch et al., 2012 ), which increases risk for future adverse health outcomes including retinopathy, cardiovascular diseases, and neuropathy ( Lind et al., 2019 ). Adolescents with T1D are at an increased risk for negative affect (i.e., depression and anxiety), with elevated symptoms present in 40% of adolescents with T1D ( Buchberger et al., 2016 ). Elevated negative affect is related to worse T1D outcomes including less self-management and elevated glycemic levels (HbA1c ≥ 7%; American Diabetes Association Professional Practice Committee, 2021 ; Buchberger et al., 2016 ). One mechanism through which negative affect may contribute to adverse T1D outcomes is stress-related behaviors, such as disordered eating behavior (DEB), or unhealthy eating and weight-control behaviors. DEB is of particular interest due to the centrality of food in T1D management ( Colton et al., 2009 ; Young et al., 2013 ). Adolescents with T1D, and particularly those with elevated negative affect ( Rose et al., 2020 ), are at an increased risk for DEB, including diabetes-specific DEB, such as insulin withholding for weight loss ( Peterson et al., 2015 ; Toni et al., 2017 ; Young et al., 2013 ). Given the potentially modifiable nature of negative affect and its association with DEB, reduced self-management, and elevated glycemic levels ( Buchberger et al., 2016 ), this risk factor may be of particular interest for intervention. Diabetes distress, which refers to a negative emotional reaction related to diabetes, is also an important factor related to depression, elevated glycemic levels, and reduced self-management among adolescents ( Hagger et al., 2016 ; Hong et al., 2021 ). It is also important to consider the impact of marginalization on T1D and psychosocial outcomes. Marginalization refers to the process of being pushed to a social position with inequitable access to resources, often referred to as social determinants of health (SDOH), which have adverse ramifications on health ( Baah et al., 2018 ). Those who have been historically marginalized, including those from racially/ethnically minoritized and socioeconomically disadvantaged backgrounds, have a greater exposure to SDOH that negatively affect health outcomes (e.g., poverty and discrimination). Indeed, research demonstrates that youth from historically marginalized backgrounds are more likely to experience adverse T1D outcomes. For instance, youth who live in neighborhoods with fewer resources, or higher racial residential segregation, are at a higher risk for elevated glycemic levels, less likely to use diabetes technologies known to reduce glycemic levels (i.e., insulin pump or CGM), and more likely to experience diabetes-related complications ( Crain et al., 2023 ; Ellis et al., 2023 ; Low et al., 2015 ). Similar outcomes are evident for youth with T1D from racially/ethnically minoritized backgrounds compared to non-Hispanic White youth with T1D ( Kanbour et al., 2022 ; Lipman et al., 2020 ; Miller et al., 2020 ). Given the recent rise in rates of T1D among racially/ethnically minoritized youth ( Divers et al., 2020 ), it is imperative that T1D research includes diverse samples and considers marginalization ( Rose et al., 2018 ). Mindfulness-based intervention (MBI), which targets the propensity to pay attention intentionally and non-judgmentally to the present moment ( Kabat-Zinn, 2005 ), may be uniquely situated to address the combined impact of negative affect and stress-related behaviors in adolescents with T1D. MBI has previously demonstrated reductions in negative affect among youth without a chronic illness ( Chi et al., 2018 ; Dunning et al., 2019 ) and decreases in emotional distress among youth with chronic illnesses, including chronic pain and weight-related disease ( Ahola Kohut et al., 2017 ; Chadi et al., 2016 ; Lin et al., 2019 ). Previous research examining MBI in adults and young adults with type 2 diabetes has demonstrated decreases in negative affect ( Armani Kian et al., 2018 ; Friis et al., 2016 ; Tovote et al., 2015 ; van Son et al., 2014 ). A study of adolescents with T1D found that higher trait mindfulness was associated with improved glycemic control and adherence, and lower diabetes distress ( Abujaradeh et al., 2021 ). Moreover, a pilot intervention study found that 16–20-year-olds with T1D who participated in MBI demonstrated reduced stress compared to those in a cognitive-behavioral or a diabetes support group, although diabetes-related improvements were not found ( Ellis et al., 2019 ). Given the disproportionate exposure to chronic stress in individuals with diabetes from historically marginalized backgrounds ( Butler et al., 2022 ), interventions directly addressing stress, such as MBI in psychosocial health and diabetes management, are warranted. A small body of research has demonstrated that MBI may be acceptable among racially/ethnically diverse youth ( Bluth et al., 2016 ; Eva & Thayer, 2017 ; Fung et al., 2019 ). For instance, a previous study examining a school-based MBI conducted among ethnically minoritized youth from low-income backgrounds demonstrated efficacy in reducing perceived stress and internalizing problems and improving emotion regulation ( Fung et al., 2019 ). However, a lack of diversity-focused research on mindfulness remains ( DeLuca et al., 2018 ). Research examining the utility of mindfulness for youth with T1D, particularly those from historically marginalized backgrounds, is needed. As such, the present case series describes the experiences of two adolescents from historically marginalized backgrounds who participated in a pilot feasibility and acceptability randomized controlled trial (RCT) of an MBI adapted for youth with T1D and elevated negative affect ( Basch et al., 2024 ; Lupini et al., 2024 ). Overall, we found that MBI was feasible and acceptable for the full sample. The current study uses a case series format for a more in-depth examination and patient-centered approach to contextualize aggregate study findings, to (1) highlight individual changes in negative affect (depression, anxiety, stress, and DEB), mindfulness, and diabetes outcomes (diabetes distress, diabetes self-management, and HbA1c) after participating in an MBI and (2) highlight MBI’s utility in historically marginalized communities. While reporting on overall feasibility is useful for understanding group-level effects, case examples can provide added nuance. Methods Study Overview Case examples were chosen from a sample of participants in a pilot RCT ( Basch et al., 2024 ). All study procedures were approved by the hospital’s Institutional Review Board. Inclusion criteria were as follows: (1) age 12–17 years, (2) diagnosed with T1D for ≥1 year, (3) elevated depression or anxiety symptoms (T-score of ≥55 on PROMIS-D or PROMIS-A subscales), and (4) ability to speak and understand English as programs were conducted in English. Participants were not excluded if their parents spoke Spanish. The youth and their guardians provided additional consent/assent to be included in this deidentified case series. Case Reports Details have been modified to maintain anonymity. “Jayla” and “Valerie” were chosen as participants for the current report based on adherence to study protocol, including 100% attendance, and similarity on demographic factors, particularly those relating to marginalization (i.e., race/ethnicity, parent education, household income, and household structure). It is important to note that despite similarities on specific demographic variables, their lived experiences of these factors are unique and do not reflect a universal experience. The outcome variables were not examined until after participants were chosen, to mitigate sampling bias. During the orientation session, Jayla and Valerie did not express a preference for either condition. Jayla and Valerie are both tweens between 12 and 14 years old, living with T1D, with single-parent households, household incomes below the living wage, and parents with less than a college degree. As reported by their parent, Jayla is a non-Hispanic/Latinx Black/African American female, and Valerie is a biracial Hispanic/Latinx female. At baseline, Jayla had T-scores of 59 on self-report measures of anxiety and depression (PROMIS-A and PROMIS-D), a T-score of 57 on a measure of diabetes distress, and an HbA1c of 9.5% (see Outcome Measures section for more details on measurements). Valerie had a T-score of 60 on the PROMIS-A and 62 on the PROMIS-D, a T-score of 66 on diabetes distress, and an HbA1c of 9.9%. Procedure All procedures occurred virtually through a children’s hospital in the Mid-Atlantic region of the US. The intervention and control groups were both conducted over HIPAA-compliant Zoom. Assessments were conducted entirely virtually, with surveys collected through REDCap ( Harris et al., 2009 ), an online database, and qualitative interviews conducted over HIPAA-compliant Zoom. Consent/assent was obtained virtually prior to involvement in assessments and groups. Baseline surveys were distributed prior to randomization. Following baseline assessments, Jayla and Valerie both participated in the 6- or 7-week BREATHE-T1D program, respectively. Following the program, Jayla and Valerie repeated surveys and completed qualitative interviews. Final surveys were completed 3 months after group ended. BREATHE-T1D BREATHE-T1D is an adapted version of Learning to BREATHE (L2B; Broderick & Metz, 2009 ), a manualized MBI designed as a universal socio-emotional learning curriculum for adolescents. We tailored the MBI utilizing qualitative feedback from adolescents with T1D. Details regarding the tailoring process are reported elsewhere ( Lupini et al., 2024 ). The adaptation process resulted in two versions of BREATHE-T1D, with either 6- or 7-week curriculum. The 7-week curriculum contained the same content as the 6-week curriculum, with the first session split into two to provide more opportunities for group connection building, as requested by participant feedback. BREATHE-T1D maintains the core principles of L2B, including the weekly themes that correspond to the letters in the acronym BREATHE: (1) Body, body awareness; (2) Reflections, mindfulness of thoughts; (3) Emotions, mindfulness of feelings; (4) Attention, using mindfulness of body, thoughts, and feelings to cope with stress; (5) Tenderness, reducing unhealthy mental habits; (6) Habits, integrating mindfulness into daily life, with the final E representing the overall goal of the program, Empowerment. BREATHE-T1D is a group program delivered virtually over HIPAA-compliant Zoom at an afterschool time according to participants’ schedules and includes interactive activities to further understanding of mindfulness, as well as mindfulness practices, such as a body scan, mindfulness of thoughts, and mindful movement. BREATHE-T1D was modified to incorporate examples related to living with T1D, which were woven into activities, mindfulness practices, and discussion probes. Participants were assigned home practices between sessions, including 5–10-min formal practices and informal practices to integrate into daily life. Participants received a practice workbook, yoga mat, throw blanket, and audio recordings of mindfulness practices. The program was cofacilitated by a doctoral-level psychologist and a master’s level research coordinator, who completed a 2-day training on L2B and weekly supervision by a child psychologist certified in L2B training and facilitation. Measures Attendance and Acceptability Group attendance was tracked weekly. After each session, participants completed an 8-question survey assessing acceptability. Questions included Likert scale ratings ranging from 1 ( not at all ) to 5 ( extremely ) of how enjoyable and helpful the session was, how supportive the group facilitators and members were, whether mood and stress changed from before to after the session, and questions regarding home practice. There was also an open-ended question for additional feedback. After completing the full course of the group programs, adolescents participated in 30-to-60-min qualitative interviews to further assess acceptability and obtain feedback to inform iterative changes between cohorts. Interview transcripts were coded holistically by research staff to inform adaptations. For the purposes of this case series, Jayla’s and Valerie’s interview transcripts were reviewed by two coders for themes regarding their perceptions of the utility of participating in the MBI, utilizing Microsoft Office tools, rather than specific qualitative software (e.g., Atlas and Dedoose). Outcome Measures All outcome measures were assessed at baseline, post-, and 3 months post-intervention. Depression. The PROMIS-D subscale short form is an 8-item self-report measure of depression/negative affect ( Irwin et al., 2010 ). Adolescents rate how often each item applied to them over the past week on a five-point Likert scale ( never to almost always ), with higher scores indicating greater frequency. A T-score of ≥55 is considered clinically elevated. Anxiety. The PROMIS-A subscale short form is an 8-item self-report measure of anxiety ( Irwin et al., 2010 ). Adolescents are asked to rate how often each item applied to them over the past week, on a five-point Likert scale ( never to almost always ), with higher scores indicating greater frequency. A T-score of ≥55 is considered clinically elevated. Stress. The Patient-Reported Outcomes Measurement Information System Stress (PROMIS-S) subscale short form is an 8-item measure of psychological stress ( Bevans et al., 2018 ). Adolescents rate how often each item applied to them over the past week on a five-point Likert scale ( never to almost always ), with higher scores indicating greater frequency. A T-score of ≥55 is considered clinically elevated. DEB. The Diabetes Eating Problems Survey Revised (DEPS-R) is a measure of DEB in individuals with diabetes, consisting of 16 items ( Markowitz et al., 2010 ). Adolescents rate how often they engage in each behavior on a six-point Likert scale ( never to always ), with higher scores indicating greater severity of DEB and a clinical cutoff of >20. Mindfulness. The Mindfulness Attention Awareness (MAAS) is a 15-item measure of trait mindfulness ( Brown & Ryan, 2003 ). Adolescents are asked to rate how frequently they experience each item, on a six-point Likert scale ( almost always to almost never ). Scores are averaged with higher scores indicating higher levels of trait mindfulness. Diabetes Distress. The Problem Areas in Diabetes-Teen (PAID-T) is a 14-item measure of diabetes distress in adolescents with T1D ( Shapiro et al., 2018 ). Adolescents are asked how much each diabetes-related problem applied to them in the past month, on a six-point Likert scale ( not a problem to serious problem ), with higher scores indicating greater severity and a cut-point of >44 considered clinically elevated. Diabetes Self-Management. The Self-Care Inventory-Child (SCI-C) is a 14-item self-assessment of perceived adherence to diabetes care regimen ( La Greca et al., 1995 ). Adolescents rate how well they followed their diabetes care regimen in the past two weeks, on a five-point Likert scale ( never do it to always do this recommendation without fail ). Higher average scores indicate greater perceived adherence, with no formal clinical cutoff. HbA1c. Glycemic control as measured by HbA1c was extracted from the medical record at the participant’s clinic visit closest to baseline (within 3 months prior to baseline) and at the visit 3–6 months following the last study assessment. Results Attendance and Acceptability Measures Both Jayla and Valerie attended all of their group program sessions. Jayla reported 100% acceptability as assessed by reporting “mostly” or “extremely” on all post-session survey questions regarding enjoyability and helpfulness of sessions. Valerie completed acceptability measures after 6 out of 7 group sessions. She reported sessions as “mostly” or “extremely” enjoyable and helpful 33% of the time while another 50% of the time, Valerie indicated that sessions were “somewhat” enjoyable and helpful. Jayla reported her mood was “better” or “much better” after 4 out of 6 group sessions, and her stress was “better” or “much better” after 5 out of 6 group sessions, while Valerie reported that her mood was “better” after 4 out of 6 group sessions and her stress was “better” after 5 out of 6 group sessions. Qualitative Findings Jayla’s and Valerie’s qualitative interviews following the program yielded similar patterns of feedback. Most saliently, both endorsed that the program made them feel calmer and less stressed. For instance, Valerie said, “I forgot all the things that I was holding that would make me stressed.” Similarly, Jayla reported that, “At first I didn’t really think it was going to affect me, but during the session I began to feel more stress free and more calm.” They both cited the mindfulness practices taught during sessions, particularly small stickers as reminders for mindful breathing and meditations, as helpful during stressful moments and will continue to use these practices. For instance, Jayla shared, “Anytime I get stressed out about my diabetes, I will just remember what I learned, do my breathing, and listen to some of the [meditation] audios. That would probably make it better.” Furthermore, both Jayla and Valerie shared the value of the group format to feel not alone in their experiences with T1D. For instance, Valerie said, “It kind of made me feel happy because I would always think that I was alone and that there was no one like me in the world, but I was wrong because I had finally met some kids that were like me.” Jayla Survey Outcomes Depression. Jayla showed an improvement in depression symptoms, such that by immediate post-intervention follow-up she no longer was above the clinical cutoff for elevated depression, and she remained non-elevated at 3-month follow-up (see Figure 1 ). Figure 1. Open in a new tab Mood outcomes. Anxiety. Jayla showed an improvement in anxiety symptoms, such that by post-intervention follow-up her anxiety score had dropped below the clinical cutoff for elevated anxiety, and her symptoms had further decreased at 3-month follow-up (see Figure 1 ). Stress. Jayla showed a similar pattern of improvement in stress, with her stress score dropping below the clinical cutoff for elevated stress at immediate post-intervention follow-up and further reduction at 3-month follow-up (see Figure 1 ). DEB. At baseline, Jayla scored in a non-elevated range for DEB. Following intervention participation, Jayla’s DEB remained non-elevated (see Figure 1 ). Mindfulness. Jayla showed an improvement in trait mindfulness (3.47, 4.8, and 5 on 1–5 scale at baseline, post-intervention follow-up, and 3-month follow-up, respectively). Diabetes Outcomes Diabetes Distress. Jayla showed a short-term improvement in diabetes distress, such that at the immediate post-intervention follow-up, she no longer endorsed elevated distress, but by 3-month follow-up, her diabetes distress returned to an elevated range according to clinical cutoffs (see Figure 2 ). Figure 2. Open in a new tab Diabetes outcomes. Diabetes Self-Management. For diabetes self-management, Jayla showed a small improvement from baseline through 3-month follow-up (see Figure 2 ). HbA1C. Jayla did not show improvements on HbA1c values and remained above the recommended HbA1c (see Figure 2 ). Valerie Survey Outcomes Depression. Similar to Jayla, Valerie also showed an improvement in depression symptoms, such that by post-intervention follow-up she no longer was above the clinical cutoff for elevated depression and remained non-elevated at 3-month follow-up (see Figure 1 ). Anxiety. Valerie also showed an improvement in anxiety symptoms, such that by immediate follow-up her anxiety score had dropped below the clinical cutoff for anxiety and further decreased at 3-month follow-up (see Figure 1 ). Stress. Valerie demonstrated a similar pattern of improvement in stress, with her stress score dropping below the clinical cutoff for elevated stress at immediate follow-up and a further reduction at 3-month follow-up (see Figure 1 ). DEB. Valerie endorsed elevated DEB at baseline and at immediate follow-up, but her DEB score fell below the clinical cutoff by the 3-month follow-up see ( Figure 1 ). Mindfulness. Valerie showed a marginal improvement in trait mindfulness (3.08, 2.57, and 3.5 on 1–5 scale, respectively, at each timepoint). Diabetes Outcomes Diabetes Distress. Valerie demonstrated an improvement in diabetes distress, such that at immediate post-intervention follow-up, she endorsed lower, yet still elevated distress, but by the 3-month follow-up, her diabetes distress dropped below the clinical cutoff (see Figure 2 ). Diabetes Self-Management. For diabetes self-management, Valerie demonstrated a small improvement from baseline through the 3-month follow-up (see Figure 2 ). HbA1c. Valerie showed a small improvement in HbA1c from baseline through 3-month follow-up but remained above the recommended HbA1c (see Figure 2 ). Discussion Overall, this case series illustrates the potential utility of MBI in adolescents with T1D and elevated negative affect, particularly in those from historically marginalized backgrounds. Jayla and Valerie were both tweens, living with T1D, with minoritized racial/ethnic identities, in single-parent households with incomes below the living wage, and parents with an education below a college degree. They both demonstrated several improvements following their participation in the MBI group, including clinically meaningful decreases in depression, anxiety, stress, and diabetes distress, and increases in mindfulness and diabetes self-management. Valerie also demonstrated additional improvements in HbA1c and DEB, the latter of which reduced below the clinical cutoff following participation. Taken together, these results highlight the experiences of two case examples for which participation in MBI demonstrated clinically meaningful improvements in several mood and stress outcomes. While we cannot make claims of efficacy with two case examples, this report suggests that MBI may have potential utility to address mood and stress in youth with T1D, including those from historically marginalized backgrounds. BREATHE-T1D is an MBI tailored to include explicit references to stressful T1D experiences, to provide mindfulness-based coping strategies and reduce negative affect generally and specific to T1D. BREATHE-T1D did not include medical recommendations related to T1D management but aimed to teach adolescents strategies to mitigate stress in T1D-related situations. As such, the improvements in both Jayla’s and Valerie’s mood and stress were anticipated. For Jayla, there was no concomitant improvement in glycemic control during the three months that HbA1c was tracked, but Valerie did demonstrate some improvement in glycemic control. Although a case report, Jayla’s pattern aligns with a previous MBI pilot trial in emerging adults ages 16–20 years old with T1D, which found improvements in stress but not glycemic control following MBI ( Ellis et al., 2019 ). Yet, unlike this previous work, both case examples demonstrated reductions in diabetes distress and a slight improvement in self-management. One possibility is that the current MBI, with T1D specific adaptations based upon stakeholder input, offers enhanced therapeutic value, as opposed to general MBI without tailoring. This explanation would be consistent with multiple theoretical frameworks for intervention tailoring (e.g., ORBIT; Czajkowski et al., 2015 ), which postulate that tailoring interventions for specific populations is critical, rather than taking a one size fits all approach. The aim of the present study was to examine individual changes in key outcomes to highlight the utility of MBI in historically marginalized populations. When working with participants from marginalized backgrounds, it is crucial to create interventions that are feasible and acceptable. Given the 100% session attendance and positive qualitative feedback, it appears that this virtual MBI was feasible and acceptable for these two participants. Although SDOH were not discussed throughout the intervention content, the virtual delivery of this group intervention made the group more accessible, as this eliminated physical barriers of additional time for travel and the expenses of transportation. Additionally, considering that youth from historically marginalized backgrounds are more likely to experience adverse T1D outcomes ( Crain et al., 2023 ; Low et al., 2015 ), and the associations between T1D outcomes and negative affect ( Buchberger et al., 2016 ), accessible interventions that effectively target negative affect, like MBI, may be of particular interest. As such, this case series highlights the unique utility of MBI in adolescents with T1D from historically marginalized backgrounds, demonstrated by Jayla’s and Valerie’s improvements in multiple targets related to mood and diabetes outcomes. It is possible that virtual, group MBI may be a more cost effective and suitable avenue for historically marginalized participants with limited access to traditional therapy. As with any study, it is important to recognize the limitations of the present study. Given the case series format of the present study, we cannot draw conclusions regarding efficacy of MBI based on the present information. This report is not intended to make claims of efficacy. Furthermore, variables representing marginalization were limited to sociodemographic information provided by parent report and do not capture the full nuanced experiences of marginalization or adolescent perspective. For instance, we did not collect information regarding food insecurity, housing insecurity, or health literacy in this study. Furthermore, potential mediating or moderating variables, such as resilience or social support, were not examined. Lastly, although we observed clinically meaningful changes in these two cases as defined by moving from above clinical cutoffs to below, it is possible that some changes were due to confounding variables (e.g., time). Lastly, for some key outcomes (e.g., depression, anxiety, and stress), Jayla and Valerie were only mildly elevated, which may limit generalizability. However, it is possible that MBI may be particularly useful for youth who experience mildly elevated negative affect. In addition, Jayla and Valerie both had a 100% attendance rate, which may also limit generalizability for lower doses of the intervention. Of note, the attendance rate in the overall pilot was also high (96%; Basch et al., 2024 ); in a real-world setting, this attendance rate may be less likely and, as such, may limit the implications of the present work. Conclusions This case series uses two case examples to demonstrate the value of an adapted MBI with adolescents with T1D, particularly those from historically marginalized backgrounds, for improvements in mood and diabetes outcomes. Jayla and Valerie reported improvements in nearly all behavioral outcomes of interest following participation and qualitatively endorsed that participation resulted in stress reduction. Further research is warranted to investigate the unique utility of MBI for youth from historically marginalized communities and potential mechanisms. Implications for Impact Statement. This study presents case examples of adolescents with T1D from historically marginalized backgrounds who participated in a mindfulness-based intervention. Both participants improved in depression, anxiety, stress, diabetes distress, and diabetes self-management. Mindfulness may be a useful intervention in this population. Funding The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: National Center for Complementary and Integrative Health (R34AT011035-01A1) awarded to the last author. Footnotes Declaration of Conflicting Interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. Trial Registration ClinicalTrials.gov Identifier: NCT05268393 . Related presentations: Basch, M., Lupini, F., Vagadori, J., Ho, S., Gutierrez-Colina, A., Kelly, K.P., Streisand, R., Shomaker, L., and Mackey, E. (2024, April) Mindfulness-based group intervention for adolescents with Type 1 diabetes (T1D): Initial findings from a pilot and feasibility randomized controlled trial. [Poster Abstract]. 2024 Society of Pediatric Psychology Annual Conference, New Orleans, LA, United States. References Abujaradeh H, Viswanathan P, Galla BM, Sereika SM, DiNardo M, Feeley CA, Cohen SM, & Charron-Prochownik D (2021). Trait mindfulness and mindfulness practices in adolescents with type 1 diabetes: Descriptive and comparative study. Journal of Pediatric Health Care: Official Publication of National Association of Pediatric Nurse Associates & Practitioners, 35(6), 592–600. 10.1016/j.pedhc.2021.07.012 [ DOI ] [ PubMed ] [ Google Scholar ] Ahola Kohut S, Stinson J, Davies-Chalmers C, Ruskin D, & van Wyk M (2017). Mindfulness-based interventions in clinical samples of adolescents with chronic illness: A systematic review. Journal of Alternative & Complementary Medicine, 23(8), 581–589. 10.1089/acm.2016.0316 [ DOI ] [ PubMed ] [ Google Scholar ] American Diabetes Association Professional Practice Committee. (2021). 14. Children and adolescents: Standards of medical care in diabetes—2022. Diabetes Care, 45(Suppl 1), S208–S231. 10.2337/dc22-S014 [ DOI ] [ PubMed ] [ Google Scholar ] Armani Kian A, Vahdani B, Noorbala AA, Nejatisafa A, Arbabi M, Zenoozian S, & Nakhjavani M (2018). The impact of mindfulness-based stress reduction on emotional wellbeing and glycemic control of patients with type 2 diabetes mellitus. Journal of Diabetes Research, 2018, Article 1986820. 10.1155/2018/1986820 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Baah FO, Teitelman AM, & Riegel B (2018). Marginalization: Conceptualizing patient vulnerabilities in the framework of social determinants of health – an integrative review. Nursing Inquiry, 26(1), Article e12268. 10.1111/nin.12268 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Basch M, Lupini F, Ho S, Dagnachew M, Gutierrez-Colina AM, Kelly KP, Shomaker L, Streisand R, Vagadori J, & Mackey E (2024). Mindfulness-based group intervention for adolescents with type 1 diabetes: Initial findings from a pilot and feasibility randomized controlled trial. Journal of Pediatric Psychology, 49(10), 769–779. 10.1093/jpepsy/jsae071 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Bevans KB, Gardner W, Pajer KA, Becker B, Carle A, Tucker CA, & Forrest CB (2018). Psychometric evaluation of the PROMIS ® pediatric psychological and physical stress experiences measures. Journal of Pediatric Psychology, 43(6), 678–692. 10.1093/jpepsy/jsy010 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Bluth K, Campo RA, Pruteanu-Malinici S, Reams A, Mullarkey M, & Broderick PC (2016). A school-based mindfulness pilot study for ethnically diverse at-risk adolescents. Mindfulness, 7(1), 90–104. 10.1007/s12671-014-0376-1 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Broderick P, & Metz S (2009). Learning to BREATHE: A pilot trial of a mindfulness curriculum for adolescents. Advances in School Mental Health Promotion, 2(1), 35–46. 10.1080/1754730x.2009.9715696 [ DOI ] [ Google Scholar ] Brown KW, & Ryan RM (2003). The benefits of being present: Mindfulness and its role in psychological well-being. Journal of Personality and Social Psychology, 84(4), 822–848. 10.1037/0022-3514.84.4.822 [ DOI ] [ PubMed ] [ Google Scholar ] Buchberger B, Huppertz H, Krabbe L, Lux B, Mattivi JT, & Siafarikas A (2016). Symptoms of depression and anxiety in youth with type 1 diabetes: A systematic review and meta-analysis. Psychoneuroendocrinology, 70, 70–84. 10.1016/j.psyneuen.2016.04.019 [ DOI ] [ PubMed ] [ Google Scholar ] Butler AM, Brown SD, Carreon SA, Smalls BL, & Terry A (2022). Equity in psychosocial outcomes and care for racial and ethnic minorities and socioeconomically disadvantaged people with diabetes. Diabetes Spectrum, 35(3), 276–283. 10.2337/dsi22-0006 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Chadi N, McMahon A, Vadnais M, Malboeuf-Hurtubise C, Djemli A, Dobkin PL, Lacroix J, Luu TM, & Haley N (2016). Mindfulness-based intervention for female adolescents with chronic pain: A pilot randomized trial. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 25(3), 159–168. [ PMC free article ] [ PubMed ] [ Google Scholar ] Chi X, Bo A, Liu T, Zhang P, & Chi I (2018). Effects of mindfulness-based stress reduction on depression in adolescents and young adults: A systematic review and meta-analysis. Frontiers in Psychology, 9, Article 1034. 10.3389/fpsyg.2018.01034 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Colton P, Rodin G, Bergenstal R, & Parkin C (2009). Eating disorders and diabetes: Introduction and overview. Diabetes Spectrum, 22(3), 138–142. 10.2337/diaspect.22.3.138 [ DOI ] [ Google Scholar ] Crain ER, Ramphul R, Butler AM, Huang X, Minard CG, Redondo MJ, & DeSalvo DJ (2023). Social determinant of health impact on diabetes device use and clinical outcomes in youth with type 1 diabetes. Pediatric Diabetes, 2023, 1–9. 10.1155/2023/4751595 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Czajkowski SM, Powell LH, Adler N, Naar-King S, Reynolds KD, Hunter CM, Laraia B, Olster DH, Perna FM, Peterson JC, Epel E, Boyington JE, & Charlson ME (2015). From ideas to efficacy: The ORBIT model for developing behavioral treatments for chronic diseases. Health Psychology, 34(10), 971–982. 10.1037/hea0000161 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] DeLuca SM, Kelman AR, & Waelde LC (2018). A systematic review of ethnoracial representation and cultural adaptation of mindfulness- and meditation-based interventions. Psychological Studies, 63(2), 117–129. 10.1007/s12646-018-0452-z [ DOI ] [ Google Scholar ] Divers J, Mayer-Davis EJ, Lawrence JM, Isom S, Dabelea D, Dolan L, Imperatore G, Marcovina S, Pettitt DJ, Pihoker C, Hamman RF, Saydah S, & Wagenknecht LE (2020). Trends in incidence of type 1 and type 2 diabetes among youths—selected Counties and Indian Reservations, United States, 2002–2015. MMWR. Morbidity and Mortality Weekly Report, 69(6), 161–165. 10.15585/mmwr.mm6906a3 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Dunning DL, Griffiths K, Kuyken W, Crane C, Foulkes L, Parker J, & Dalgleish T (2019). Research Review: The effects of mindfulness-based interventions on cognition and mental health in children and adolescents - a meta-analysis of randomized controlled trials. The Journal of Child Psychology and Psychiatry and Allied Disciplines, 60(3), 244–258. 10.1111/jcpp.12980 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Ellis DA, Carcone AI, Slatcher R, Naar-King S, Hains A, Graham A, & Sibinga E (2019). Efficacy of mindfulness-based stress reduction in emerging adults with poorly controlled, type 1 diabetes: A pilot randomized controlled trial. Pediatric Diabetes, 20(2), 226–234. 10.1111/pedi.12807 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Ellis DA, Cutchin MP, Carcone AI, Evans M, Weissberg-Benchell J, Buggs-Saxton C, Boucher-Berry C, Miller JL, Drossos T, Dekelbab MB, & Worley J (2023). Racial residential segregation and the health of Black youth with type 1 diabetes. Pediatrics, 151(5), Article e2022058856. 10.1542/peds.2022-058856 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Eva AL, & Thayer NM (2017). Learning to BREATHE: A pilot study of a mindfulness-based intervention to support marginalized youth. Journal of Evidence-Based Complementary & Alternative Medicine, 22(4), 580–591. 10.1177/2156587217696928 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Friis AM, Johnson MH, Cutfield RG, & Consedine NS (2016). Kindness matters: A randomized controlled trial of a mindful self-compassion intervention improves depression, distress, and HbA1c among patients with diabetes. Diabetes Care, 39(11), 1963–1971. 10.2337/dc16-0416 [ DOI ] [ PubMed ] [ Google Scholar ] Fung J, Kim JJ, Jin J, Chen G, Bear L, & Lau AS (2019). A randomized trial evaluating school-based mindfulness intervention for ethnic minority youth: Exploring mediators and moderators of intervention effects. Journal of Abnormal Child Psychology, 47(1), 1–19. 10.1007/s10802-018-0425-7 [ DOI ] [ PubMed ] [ Google Scholar ] Hagger V, Hendrieckx C, Sturt J, Skinner TC, & Speight J (2016). Diabetes distress among adolescents with type 1 diabetes: A systematic review. Current Diabetes Reports, 16(1), 9. 10.1007/s11892-015-0694-2 [ DOI ] [ PubMed ] [ Google Scholar ] Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, & Conde JG (2009). Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. Journal of Biomedical Informatics, 42(2), 377–381. 10.1016/j.jbi.2008.08.010 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Hong KMC, Glick BA, Kamboj MK, & Hoffman RP (2021). Glycemic control, depression, diabetes distress among adolescents with type 1 diabetes: Effects of sex, race, insurance, and obesity. Acta Diabetologica, 58(12), 1627–1635. 10.1007/s00592-021-01768-w [ DOI ] [ PubMed ] [ Google Scholar ] Irwin DE, Stucky B, Langer MM, Thissen D, Dewitt EM, Lai J-S, Varni JW, Yeatts K, & DeWalt DA (2010). An item response analysis of the pediatric PROMIS anxiety and depressive symptoms scales. Quality of Life Research: An International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation, 19(4), 595–607. 10.1007/s11136-010-9619-3 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Kabat-Zinn J (2005). Full catastrophe living: Using the wisdom of your body and mind to face stress, pain, and illness, 15th anniversary ed . Delta Trade Paperback/Bantam Dell. [ Google Scholar ] Kanbour S, Jones M, Abusamaan MS, Nass C, Everett E, Wolf RM, Sidhaye A, & Mathioudakis N (2022). Racial disparities in access and use of diabetes technology among adult patients with type 1 diabetes in a US academic medical center. Diabetes Care, 46(1), 56–64. 10.2337/dc22-1055 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] La Greca AM, Swales T, Klemp S, Madigan S, & Skyler J (1995). Adolescents with diabetes: Gender differences in psychosocial functioning and glycemic control. Children’s Health Care, 24(1), 61–78. 10.1207/s15326888chc2401_6 [ DOI ] [ Google Scholar ] Lin J, Chadi N, & Shrier L (2019). Mindfulness-based interventions for adolescent health. Current Opinion in Pediatrics, 31(4), 469–475. 10.1097/MOP.0000000000000760 [ DOI ] [ PubMed ] [ Google Scholar ] Lind M, Pivodic A, Svensson A-M, Ólafsdóttir AF, Wedel H, & Ludvigsson J (2019). HbA1c level as a risk factor for retinopathy and nephropathy in children and adults with type 1 diabetes: Swedish population based cohort study. BMJ, 366, Article l4894. 10.1136/bmj.l4894 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Lipman TH, Willi SM, Lai CW, Smith JA, Patil O, & Hawkes CP (2020). Insulin pump use in children with type 1 diabetes: Over a decade of disparities. Journal of Pediatric Nursing, 55, 110–115. 10.1016/j.pedn.2020.08.007 [ DOI ] [ PubMed ] [ Google Scholar ] Low L, Law JP, Hodson J, McAlpine R, O’Colmain U, & MacEwen C (2015). Impact of socioeconomic deprivation on the development of diabetic retinopathy: A population-based, cross-sectional and longitudinal study over 12 years. BMJ Open, 5(4), Article e007290. 10.1136/bmjopen-2014-007290 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Lupini F, Basch M, Cooke F, Vagadori J, Gutierrez-Colina AM, Kelly KP, Streisand R, Shomaker L, & Mackey ER (2024). BREATHE-T1D: Using iterative mixed methods to adapt a mindfulness-based intervention for adolescents with type 1 diabetes: Design and development. Contemporary Clinical Trials, 142, 107551. 10.1016/j.cct.2024.107551 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Markowitz JT, Butler DA, Volkening LK, Antisdel JE, Anderson BJ, & Laffel LMB (2010). Brief screening tool for disordered eating in diabetes: Internal consistency and external validity in a contemporary sample of pediatric patients with type 1 diabetes. Diabetes Care, 33(3), 495–500. 10.2337/dc09-1890 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Mayer-Davis EJ, Lawrence JM, Dabelea D, Divers J, Isom S, Dolan L, Imperatore G, Linder B, Marcovina S, Pettitt DJ, Pihoker C, Saydah S, Wagenknecht L, & SEARCH for Diabetes in Youth Study. (2017). Incidence trends of type 1 and type 2 diabetes among youths, 2002–2012. New England Journal of Medicine, 376(15), 1419–1429. 10.1056/NEJMoa1610187 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Miller KM, Beck RW, Foster NC, & Maahs DM (2020). HbA1c levels in type 1 diabetes from early childhood to older adults: A deeper dive into the influence of technology and socioeconomic status on HbA1c in the T1D exchange clinic registry findings. Diabetes Technology & Therapeutics, 22(9), 645–650. 10.1089/dia.2019.0393 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Peterson CM, Fischer S, & Young-Hyman D (2015). Topical review: A comprehensive risk model for disordered eating in youth with type 1 diabetes. Journal of Pediatric Psychology, 40(4), 385–390. 10.1093/jpepsy/jsu106 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Rausch JR, Hood KK, Delamater A, Shroff Pendley J, Rohan JM, Reeves G, Dolan L, & Drotar D (2012). Changes in treatment adherence and glycemic control during the transition to adolescence in type 1 diabetes. Diabetes Care, 35(6), 1219–1224. 10.2337/dc11-2163 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Rose M, Aronow L, Breen S, Tully C, Hilliard ME, Butler AM, & Streisand R (2018). Considering culture: A review of pediatric behavioral intervention research in type 1 diabetes. Current Diabetes Reports, 18(4), 16. 10.1007/s11892-018-0987-3 [ DOI ] [ PubMed ] [ Google Scholar ] Rose M, Streisand R, Tully C, Clary L, Monaghan M, Wang J, & Mackey E (2020). Risk of disordered eating behaviors in adolescents with type 1 diabetes. Journal of Pediatric Psychology, 45(5), 583–591. 10.1093/jpepsy/jsaa027 [ DOI ] [ PubMed ] [ Google Scholar ] Shapiro JB, Vesco AT, Weil LEG, Evans MA, Hood KK, & Weissberg-Benchell J (2018). Psychometric properties of the problem areas in diabetes: Teen and parent of teen versions. Journal of Pediatric Psychology, 43(5), 561–571. 10.1093/jpepsy/jsx146 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Toni G, Berioli MG, Cerquiglini L, Ceccarini G, Grohmann U, Principi N, & Esposito S (2017). Eating disorders and disordered eating symptoms in adolescents with type 1 diabetes. Nutrients, 9(8), Article 906. 10.3390/nu9080906 [ DOI ] [ PMC free article ] [ PubMed ] [ Google Scholar ] Tovote KA, Schroevers MJ, Snippe E, Sanderman R, Links TP, Emmelkamp PMG, & Fleer J (2015). Long-term effects of individual mindfulness-based cognitive therapy and cognitive behavior therapy for depressive symptoms in patients with diabetes: A randomized trial. Psychotherapy and Psychosomatics, 84(3), 186–187. 10.1159/000375453 [ DOI ] [ PubMed ] [ Google Scholar ] van Son J, Nyklíček I, Pop VJ, Blonk MC, Erdtsieck RJ, & Pouwer F (2014). Mindfulness-based cognitive therapy for people with diabetes and emotional problems: Long-term follow-up findings from the DiaMind randomized controlled trial. Journal of Psychosomatic Research, 77(1), 81–84. 10.1016/j.jpsychores.2014.03.013 [ DOI ] [ PubMed ] [ Google Scholar ] Young V, Eiser C, Johnson B, Brierley S, Epton T, Elliott J, & Heller S (2013). Eating problems in adolescents with type 1 diabetes: A systematic review with meta-analysis. Diabetic Medicine, 30(2), 189–198. 10.1111/j.1464-5491.2012.03771.x [ DOI ] [ PubMed ] [ Google Scholar ] ACTIONS View on publisher site PDF (316.6 KB) Cite Collections Permalink RESOURCES Similar articles Cited by other articles Links to NCBI Databases Follow NCBI NCBI on X (formerly known as Twitter) NCBI on Facebook NCBI on LinkedIn NCBI on GitHub NCBI RSS feed Connect with NLM NLM on X (formerly known as Twitter) NLM on Facebook NLM on YouTube National Library of Medicine 8600 Rockville Pike Bethesda, MD 20894 Web Policies FOIA HHS Vulnerability Disclosure Help Accessibility Careers NLM NIH HHS USA.gov Back to Top
Related documents
- Mindfulness-based Interventions for Emotional Dysregulation in Adolescents: A Systematic Review.#165910
- Beyond Universality: Do All Adolescent Minds Benefit from Mindfulness?#355583
- Mindfulness-based cognitive therapy for children (MBCT-C) on internalizing, externalizing, and attention problems in children from single-parent families: A study protocol for a crossover randomized clinical trial.#437205
- A Comprehensive Taxonomy of Mindfulness in Schools: Physiological Regulation, Focus Training, and Classroom Climate#25996
- Trait mindfulness buffers depersonalization symptoms among young adults exposed to childhood abuse.#399571
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive