REVIEW ARTICLE
Shenelle Wickramarathna1*, Rita Forde2, Angus Forbes2, Dulmini Kariyawasam3, Min Guo2, Maria Baldellou-Lopez4 and Judith Parsons2
1Radiology Department, The Royal London Hospital, Bart’s Health NHS Trust, London, United Kingdom; 2Florence Nightingale Faculty of Nursing, Midwifery & Palliative Care, King’s College London, London, United Kingdom; 3Diabetes Centre, St Thomas’ Hospital, Guy’s & St Thomas’ NHS Foundation Trust, London, United Kingdom; 4Paediatrics Department, Royal Cornwall Hospital, Royal Cornwall Hospitals NHS Trust, Truro, United Kingdom
Background: Adolescence is a challenging developmental period, marked by increased autonomy and reduced parental support. For adolescents with Type 1 diabetes (T1D), this often coincides with a sharp decline in glycaemic control and increased psychological burden. Group-based psychosocial interventions aim to improve coping skills, resilience and diabetes-related problem-solving, supporting adolescents as the transition towards independent self-management. We aimed to systematically review existing group psychosocial interventions for young people with T1D, and identify effective mechanisms of action.
Method: A systematic review of six databases yielded 5,259 records, of which 22 studies were eligible for inclusion. Narrative and tabular synthesis were used to describe the interventions, their underpinning theories, active mechanisms, delivery models, and reported outcomes.
Results: Six broad types of group-based psychosocial interventions were identified, cognitive behavioural/stress-management, guided self-determination for youth, psychoeducational, self-efficacy/social-cognitive, mindfulness/acceptance, and motivational/solution-focused approaches. Across studies, at least two of the nine core active techniques were consistently applied, including goal setting, problem-solving, cognitive behavioural strategies, communication training, relaxation, family teamwork, and diabetes education. Reported outcomes were heterogeneous: modest improvements were most commonly seen in psychosocial parameters (e.g. depression, diabetes distress, family functioning, self-efficacy), while effects on clinical and behavioural outcomes were mixed.
Conclusion: Group-based psychosocial interventions for adolescents with T1D show potential, particularly in improving psychosocial wellbeing, but evidence is limited by small sample sizes, variable quality, and inconsistent reporting. Standardisation of intervention components and outcome measures, alongside larger, high-quality trials, is needed to guide effective practice.
Keywords: diabetes mellitus; Type 1; psychotherapy; cognitive behavioural therapy; coping skills; adolescent; young adult
Citation: International Diabetes Nursing 2026, 19: 351 - http://dx.doi.org/10.57177/idn.v19.351
Copyright: © 2026 Shenelle Wickramarathna et al. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (https://creativecommons.org/licenses/by-nc-sa/4.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and states its license.
Received: 24 November 2025; Accepted: 23 June 2026; Published: 5 September 2026
Dr Shenelle Wickramarathna, MBBS, BSc (Hons), Radiology Department, The Royal London Hospital, Bart’s Health NHS Trust, London, United Kingdom, Whitechapel Road, London, E1 1FR. Tel.: +447429527356. Email: shenellewick@yahoo.co.uk; Shenelle.wickramarathna3@nhs.net
Conflicts of interest and funding: The authors have not received any funding or benefits from industry or elsewhere to conduct this study
To access the supplementary file, please visit the article landing page
During adolescence, individuals with Type 1 diabetes (T1D) must navigate significant physical, psychological and social change, while simultaneously assuming increasing responsibility for their diabetes management. Many adolescents experience difficulty sustaining consistent glucose monitoring, insulin adjustment and clinic attendance during this transition period, contributing to the well-documented deterioration in glycaemic control and higher frequency of microvascular complications across adolescence and emerging adulthood.1–3
Adolescence is also a critical period for identity formation and social development4,5 and the demands of managing T1D can bear a substantial psychosocial burden.6,7 The need for strict treatment adherence and constant self-monitoring often conflict with adolescents’ desire for autonomy and to ‘fit in’ with peers, contributing to frustration and the adoption of maladaptive coping strategies.8–10 Diabetes-specific distress during this stage is linked with disengagement from care and subsequent deterioration in glycaemic control.11,12 Moreover, concerns about body image and disordered eating behaviours, including deliberate insulin omission are prevalent in adolescents with Type 1, particularly in young females.13
Socially, many young people with diabetes experience feelings of isolation and stigma, and fear of judgement may cause concealment or neglect of diabetes management, particularly in social settings involving food or alcohol.14,15
Overall, young people with T1D face a complex interplay of psychological and social changes. Collectively these challenges highlight the need for interventions that will equip young people with the psychological and social skills to manage diabetes effectively during this transition.
Group-based interventions offer a potential solution, providing opportunities for peer learning, social support, and shared problem-solving. This review aimed to synthesise existing evidence on group-based psychosocial interventions for young people with T1D, identifying their underpinning theories, active components, delivery, and effects.
Specifically, the review addressed the following questions:
We undertook a systematic review to identify studies of group-based psychosocial interventions for young people (aged 13–25 years) with T1D. The review was registered on PROSPERO (CRD42023428656) and followed the Joanna Briggs Institute guidelines for systematic reviews.16
Six databases (Medline, Embase, CINAHL, PsychInfo, Global Health and PubMed) were systematically searched since inception up until September 2025 for relevant citations. Subject heading terms (index terms) and free-text terms related to T1D, adolescence, psychosocial interventions and group therapy were selected following an initial scoping search and combined using Boolean operators (as shown in Table 1). The search strategy was adjusted for each of the databases.
Studies of adolescents and young adults (13–25 years) with T1D participating in group-based psychosocial interventions were included (Table 2). Any study design reporting clinical, behavioural, psychological, or social outcomes was eligible. When a study’s reported age range extended beyond 13–25 years, the mean participant age was used to determine eligibility; studies were included if the mean age fell within this range, even if some participants were outside these boundaries. Individual interventions, pharmacological interventions, or those without a psychosocial focus were excluded.
Citations retrieved from the electronic search of the databases were imported into Covidence for removal of duplicates. Titles and abstracts were independently screened by a minimum of two of four reviewers (SW, RF, MG & JP) and excluded if it was clear that they did not meet the inclusion criteria. Any disagreements were resolved by a review and discussion between all reviewers. The full texts of potentially eligible records were then assessed. Final inclusion of studies in the review was discussed with two further authors (AF, DK). The full texts of all the identified studies were then reviewed and those that met the inclusion criteria were subject to data extraction.
The following data were extracted from each study, where reported: study design, participant characteristics, intervention content and key components, delivery method, theoretical framework, and outcomes.
Study quality was evaluated using the Joanna Briggs Institute Critical Appraisal Checklist for Randomised Controlled Trials (JBI-RCT) and the Joanna Briggs Institute Critical Appraisal Checklist for Quasi-Experimental (JBI-QE) Trials for randomised controlled trials (RCTs) and non-RCTs, respectively. These checklists measure the risk of bias across several domains including randomisation, allocation concealment, blinding and attrition. For RCTs, studies reporting 10 or more items on the checklist were considered to be of ‘high’ quality, 7–9 items of ‘moderate’ quality and less than 7 of ‘low’ quality. Non-RCTs have inherent risk of bias, therefore only ‘moderate’ (7–9 items reported) and ‘low’ quality (<7 items reported) assessments were made for these studies. Completed checklists can be found in the supplementary materials. Quality was not used as a determinant for inclusion as the aim was to identify intervention contents and mechanisms of action rather than their effectiveness.
Due to the heterogeneity of interventions and outcome measures, a narrative synthesis was undertaken. The extracted data for each study were incorporated into tables detailing the key features of the included studies, including the study design, participants, intervention type, components, underpinning theory, active techniques and study outcomes. The findings were then integrated into a narrative synthesis to summarise the types and characteristics of the identified interventions and their reported impact on clinical, behavioural, psychological and social outcomes. Outcomes were grouped as clinical (e.g. Glycated Haemoglobin (HbA1c), Body Mass Index (BMI), hypoglycaemia), behavioural (e.g. self-management, adherence) and psychological (distress, mood, coping).
A total of 5,259 records were identified from the electronic database search, with one additional record identified by manually searching reference lists and citations. After duplicate removal, the titles and abstracts of 4,818 articles were screened, leading to 245 full text articles being assessed for eligibility. Ultimately, 22 studies met the inclusion criteria for the review. Figure 1 details the Preferred Response Items for Systematic Reviews and Meta-Analysis (PRISMA) flow diagram.
A total of 22 included studies collectively provided data from over 2,000 young people with T1D, with individual sample sizes ranging from 11 to 394 participants. Study designs included RCTs (n = 11), pre-/post-test designs (n = 8) pilot or feasibility RCTs (n = 3). Participants’ ages ranged from 10 to 25 years, with mean diabetes duration typically between 4 and 8 years. Reported follow-up periods varied from 1 to 24 months. Most interventions recruited general adolescent or young-adult T1D populations, though several targeted specific subgroups such as those with elevated diabetes distress, depressive symptoms, disordered eating, or suboptimal glycaemic control. A summary of study characteristics is presented in the Appendix (Table 4).
Overall, study quality was mixed. Six studies were graded to be of high quality, twelve studies were graded as moderate quality and four as low quality. Common limitations included small sample sizes, baseline imbalances, and high attrition. For non-randomised and pre–post designs, risk of bias was generally moderate to high, particularly due to lack of control groups and reliance on self-reported outcomes. Completed quality appraisal checklists are summarised in the Appendix (Table 5).
Consistent with the aims of this review (to identify intervention content, theoretical frameworks, and active techniques rather than determine comparative efficacy) quality ratings were used to inform interpretation but not as exclusion criteria.
The included interventions were underpinned by six main theoretical frameworks (summarised in Table 3). The most frequently applied was Cognitive Behavioural Therapy (CBT) and its derivatives (n = 7), typically incorporating coping-skills training, stress-management, or resilience-building techniques. These programmes, usually delivered by psychologists or trained facilitators, targeted diabetes-related distress and maladaptive coping.
| Framework | Studies |
| Cognitive behavioural therapy and derivatives | Basch, 202417; Hood, 201818; Serlachius, 201619; Rosello, 200620; Hains, 200021; Bakhach, 201922; Esfahani, 202123 |
| Social-cognitive / Self-efficacy / Health-belief models | Guo, 202024; Edraki, 201825; Weigensberg, 201826 |
| Psychoeducational / Empowerment-focused | Christie, 201627; Kichler, 201428; Price, 201629; Garcia-Perez, 201030; Greco, 200131 |
| Mindfulness / Acceptance / Self-compassion | Boggiss, 202032; Ellis, 201833; Kortegaard, 202434 |
| Guided self-determination for youth (GSD-Y) | Brorsson, 201935 |
| Motivational / Solution-focused | Viner, 200336; Knight, 200337; Evcimen, 202138 |
Interventions grounded in Self-Efficacy Theory, Social Cognitive Theory, or the Health Belief Model (n = 3) focused on behavioural confidence, modelling, and perceived control over diabetes self-care. Grounded in Bandura’s Social Cognitive Theory or related health-belief frameworks, they aimed to strengthen self-efficacy rather than to restructure cognition.
Psychoeducational and empowerment-focused programmes (n = 5) were also common, providing structured diabetes education, peer discussion, and practical skill development to enhance knowledge, normalise experiences, and promote collaborative learning.
A further three studies incorporated mindfulness-based, acceptance, or self-compassion approaches, reflecting ‘third-wave’ CBT models that cultivate emotional acceptance, cognitive flexibility, and stress tolerance.32,33,34
Guided Self-Determination for Youth (GSD-Y) (n = 1) offered a distinct empowerment-based approach, encouraging reflective conversations, shared decision-making, and joint goal-setting between adolescents and parents.
Finally, motivational and solution-focused interventions (n = 3) sought to enhance intrinsic motivation, commitment, and self-directed problem-solving through collaborative, future-oriented dialogue.
Together, these approaches span a spectrum from emotion-focused interventions (CBT, mindfulness, Acceptance and Commitment Therapy (ACT)) to behaviour-focused frameworks (social-cognitive programmes, psychoeducation, GSD-Y). This range reflects the multifaceted nature of psychosocial support needed for adolescents managing T1D.
Across the 22 included studies, several core therapeutic ingredients recurred, despite variation in underlying theoretical framework or delivery format. The most prevalent were problem-solving (n = 16), coping-skills training (n = 14), stress-management techniques (n = 12), and goal-setting (n = 9). These methods directly target the behavioural and emotional challenges of adolescence, supporting adaptive disease management. Problem-solving and goal-setting components, in particular, aim to help adolescents analyse barriers, generate practical strategies, and develop agency in daily diabetes care.
Communication-skills training (n = 10) and social-support facilitation (n = 11) were also common, highlighting the role of peer and family relationships in sustaining engagement. Many interventions encouraged open discussion of diabetes-related stressors and collaborative problem solving within the group setting.
Stress-management and cognitive behavioural strategies (n = 8), such as relaxation, guided imagery, and reframing were often combined to build resilience. Decision-making skills (n = 7) appeared less often but appeared effective in interventions focused on autonomy. A small number incorporated role-play or simulation (n = 4) to practise communication or coping behaviours in realistic scenarios.
Overall, despite varied structures, most programmes blended at least two core elements: typically problem-solving, CBT-based techniques, and goal-setting. When paired with opportunities for communication practice, social support, and experiential learning, these components appear to strengthen self-efficacy and engagement, even when metabolic outcomes remain unchanged.
Most interventions were delivered face-to-face in hospital or outpatient clinic settings, typically in small groups of 6–10 participants. Very few studies adopted hybrid or fully virtual formats to enhance accessibility and engagement.39 The number of sessions ranged from 4 to 12, with individual sessions lasting between 60 and 120 min (overall range = 30–150 min). Two interventions were implemented as summer-camp programmes.24,30 This involved the combination of structured psychoeducational workshops with recreational and peer-support activities.
Delivery personnel most commonly included psychologists, diabetes specialist nurses, and trained educators. Facilitator training was reported in just over half of the studies and typically involved short workshops, orientation sessions, or manualised protocols. Fidelity monitoring, through session checklists, audio-recording, or supervision, was increasingly used in more recent trials but remained inconsistently reported overall. Full details of intervention delivery can be found in Appendix (Table 7).
The most commonly assessed clinical outcome assessed was glycaemic control (HbA1c). Fifteen studies reported HbA1c as a primary or secondary endpoint. Statistically significant improvements were observed in three studies,21,35,36 all of which used motivational, stress-management, or coping-focused behavioural approaches. Several others17,20,32 reported modest non-significant improvements, while García-Pérez et al.30 found a small but significant short-term increase in HbA1c post-intervention, likely reflecting post-camp regression effects.
Most remaining studies showed no statistically significant change in HbA1c, but rather maintenance of glycaemic control, which represents a clinically meaningful outcome given the typical deterioration observed during adolescence. A minority of studies assessed hypoglycaemic episodes and BMI, with no significant between-group differences detected.29
Behavioural outcomes assessed across the studies included self-management behaviours, self-efficacy, problem-solving, family communication and collaboration, adherence to treatment, frequency of blood-glucose monitoring (BGM), and healthcare utilisation.
Self-efficacy was assessed in nine studies, with significant improvements reported in six.20,22,23,25,36,38 These interventions commonly integrated elements of goal-setting, problem-solving, or motivational enhancement, reinforcing participants’ sense of competence and control over diabetes management. Improvements in coping and problem-solving behaviours were similarly observed by Hains et al.40 and Brorsson et al.35
However, some studies reported no significant changes in communication41 or self-management behaviours,18,34 underscoring the variability in how behavioural outcomes are defined and measured. Importantly, no study reported deterioration in self-management behaviours following participation.
This evidence suggests that interventions integrating motivational, problem-solving, and empowerment-based components are most effective in promoting sustained positive diabetes-related behaviours, particularly among adolescents with lower baseline adherence or self-efficacy.
Psychological outcomes were the most frequently evaluated across the included studies and encompassed a broad range of domains, including quality of life/life satisfaction, anxiety, depression, psychosocial well-being, diabetes distress, stress, resilience, coping, self-efficacy, self-perception, self-compassion, adaptation/adjustment to diabetes, hopelessness, fear of hypoglycaemia, and family conflict/responsibility.
Interventions emphasising coping, problem-solving, and cognitive behavioural techniques17,18,34 demonstrated reductions in depressive symptoms, diabetes distress, and perceived stress.
Findings for quality of life were mixed, with modest improvements in some empowerment- and telemedicine-based interventions but no significant group differences in most RCTs. Family conflict decreased in several family-focused interventions18,35 though results were not consistently significant.
Overall, the evidence suggests that interventions incorporating stress management, emotional regulation, and resilience training are most effective in improving psychological well-being and reducing diabetes-related distress, while traditional psychoeducation alone yields limited psychological benefit.
This review synthesises evidence from 22 studies evaluating group-based psychosocial interventions for adolescents and young adults with T1D. Despite heterogeneity in design, setting, and reporting, several key findings emerged.
The predominance of CBT and CBT-derived approaches echoes earlier reviews in paediatric diabetes and other chronic illness.42–44 In this review, CBT-based programmes most consistently improved self-efficacy, coping, and diabetes-related distress, mirroring findings from meta-analyses in conditions such as inflammatory bowel disease45 and cystic fibrosis.40 These parallels underline CBT’s adaptability in addressing illness-related stress and treatment fatigue, major barriers to self-management in adolescence.
Psychoeducational and empowerment-based programmes also appeared frequently. Their impact on diabetes knowledge, problem-solving, and engagement was generally positive but variable, reinforcing wider evidence that educational interventions work best when paired with cognitive behavioural or motivational elements.46
Mindfulness- and acceptance-based interventions, though fewer in number, showed promising effects on stress, emotional regulation, and quality of life, aligning with emerging evidence from other paediatric chronic illnesses evaluating third-wave CBT approaches.47,48
Interventions rooted in self-efficacy or social-cognitive models produced modest gains in confidence and day-to-day diabetes management.
Motivational Interviewing was rarely used in group settings. Consistent with previous reviews, MI appears more effective one-to-one, where individualised reflection and goal setting can occur.49,50
Taken together, these findings reinforce earlier work by highlighting the dominance of CBT and psychoeducational approaches, the emergence of mindfulness-, acceptance-, and self-efficacy-based frameworks, and the ongoing challenge of translating psychosocial gains into consistent metabolic improvement.
Although the interventions differed in framework and mode of delivery, several therapeutic elements recurred across studies. The most common were problem-solving, goal-setting, coping-skills training, and cognitive behavioural techniques. These align well with developmental needs in adolescence, supporting autonomy, self-regulation and goal setting and thus may strengthen the behavioural pathways that underpin effective self-management.
Most interventions were delivered face-to-face in hospital or outpatient settings, typically in small groups facilitated by psychologists, diabetes nurses, or trained educators.
The COVID-19 pandemic has accelerated the use of telehealth across paediatric chronic illness management, and evidence from other populations suggests that hybrid delivery models can enhance accessibility, cost-effectiveness, and sustainability while maintaining psychosocial benefits.51 Despite these advantages, very few studies adopted hybrid or fully virtual formats.39 This suggests limited shift towards digital integration within paediatric diabetes care. Future studies should explore blended models that combine the accessibility of online delivery with the interpersonal benefits of face-to-face group work.
Psychological outcomes showed the clearest and most consistent improvements, particularly self-efficacy, coping, and distress. Clinical outcomes such as HbA1c improved in only a few studies, though the overall stability of glycaemic control is notable given the typical deterioration seen during adolescence.
Consistent with previous reviews, this analysis highlights several methodological limitations, including small sample sizes, short follow-up durations, high attrition rates, and heterogeneous outcome measures. Consequently, conclusions regarding treatment efficacy should be interpreted with caution.
Although the review adopted an age range of 13–25 years to capture the transition from adolescence to young adulthood, implementing strict age-related inclusion criteria was challenging due to variability in how studies defined developmental stages. There are currently no internationally standardised age boundaries for adolescence and emerging adulthood, and differences across studies likely reflect cultural variation in perceptions of maturity and independence. This contextual diversity should be considered when interpreting the findings.
Finally, few studies recruited ethnically diverse or socioeconomically disadvantaged participants, despite evidence that these groups experience poorer glycaemic outcomes and higher disengagement from care.52,53
The evidence reviewed highlights the continued relevance of structured, theoretically grounded psychosocial interventions for adolescents and young adults with T1D. Cognitive behavioural therapies remain the most empirically supported, demonstrating consistent benefits for emotional wellbeing and coping, and family communication. Acceptance, mindfulness, and resilience-based models are emerging as credible complementary frameworks.
While few programmes directly improved HbA1c, the general stability of glycaemic control suggests these interventions may help to prevent decline during a high-risk life stage. This highlights the need to view psychological wellbeing and motivation as central to diabetes care rather than adjuncts to medical management. Future work should prioritise embedding psychosocial care into routine pathways, tailoring programmes to diverse populations, and evaluating hybrid delivery models.
Group-based psychosocial interventions, particularly those informed by CBT, demonstrate consistent psychological and social benefits and may support glycaemic stability in adolescents with T1D. Evidence remains limited by methodological weaknesses and heterogeneous outcomes. Future research should employ sound theoretical models, detailed intervention reporting, and standardised outcome sets. High-quality trials are needed to establish long-term effectiveness and inform integration into standard care pathways.
Conceptualisation: AF, DK, SW
Data curation: SW, RF, JP, MG, MBL
Methodology, formal analysis, and validation: SW, AF, RF, JP, MBL, DK, MG
Project administration: SW, AF, JP
Funding Acquisition: None
Writing – original draft: SW, AF, JP
Writing – review and editing: SW, AF, JP
| 1. | Wood JR, Miller KM, Maahs DM, Beck RW, DiMeglio LA, Libman IM, et al. Most youth with Type 1 diabetes in the T1D Exchange Clinic Registry do not meet American Diabetes Association or International Society for Pediatric and Adolescent Diabetes Clinical Guidelines. Diabetes Care 2013; 36(7): 2035–7. doi: 10.2337/dc12-1959 |
| 2. | Chowdhury S. Puberty and Type 1 diabetes. Indian J Endocrinol Metab 2015; 19(7): 51. doi: 10.4103/2230-8210.155402 |
| 3. | Petitti DB, Klingensmith GJ, Bell RA, Andrews JS, Dabelea D, Imperatore G, et al. Glycemic control in youth with diabetes: the SEARCH for diabetes in youth study. J Pediatr 2009; 155(5): 668–72.e3. doi: 10.1016/j.jpeds.2009.05.025 |
| 4. | Meeus W. The study of adolescent identity formation 2000–2010: a review of longitudinal research. J Res Adolesc 2011; 21(1): 75–94. doi: 10.1111/j.1532-7795.2010.00716.x |
| 5. | Crocetti E. Identity formation in adolescence: the dynamic of forming and consolidating identity commitments. Child Dev Perspect 2017; 11(2): 145–50. doi: 10.1111/cdep.12226 |
| 6. | Hood KK, Beavers DP, Yi-Frazier J, Bell R, Dabelea D, Mckeown RE, et al. Psychosocial burden and glycemic control during the first 6 years of diabetes: results from the SEARCH for diabetes in youth study. J Adolesc Health 2014; 55(4): 498–504. doi: 10.1016/j.jadohealth.2014.03.011 |
| 7. | Johnson B, Eiser C, Young V, Brierley S, Heller S. Prevalence of depression among young people with Type 1 diabetes: a systematic review. Diabetic Med 2013; 30(2): 199–208. doi: 10.1111/j.1464-5491.2012.03721.x |
| 8. | King KM, King PJ, Nayar R, Wilkes S. Perceptions of adolescent patients of the ‘lived experience’ of Type 1 diabetes. Diabetes Spectrum 2017; 30(1): 23–35. doi: 10.2337/ds15-0041 |
| 9. | Hussein S, Jespersen LN, Ingersgaard MV, Skovby P, Grabowski D. Trying to be like everybody else: a qualitative study revealing the importance of social contexts and illness representations among adolescents with Type 1 diabetes and their parents. Chronic Illn 2024; 20(1): 37–48. doi: 10.1177/17423953231155287 |
| 10. | Owusu BA, Ofori-Boateng P, Doku DT. Coping and adaptation strategies among young persons living with Type 1 diabetes and their caregivers: textual and photovoice analyses. BMC Public Health 2023; 23(1): 1684. doi: 10.1186/s12889-023-16573-z |
| 11. | Hagger V, Hendrieckx C, Cameron F, Pouwer F, Skinner TC, Speight J. Diabetes distress is more strongly associated with HbA1c than depressive symptoms in adolescents with Type 1 diabetes: results from diabetes MILES Youth-Australia. Pediatr Diabetes 2018; 19(4): 840–7. doi: 10.1111/pedi.12641 |
| 12. | Alwadiy F, Mok E, Dasgupta K, Rahme E, Frei J, Nakhla M. Association of self-efficacy, transition readiness and diabetes distress with glycemic control in adolescents with Type 1 diabetes preparing to transition to adult care. Can J Diabetes 2021; 45(5): 490–5. doi: 10.1016/j.jcjd.2021.05.006 |
| 13. | Troncone A, Cascella C, Chianese A, Galiero I, Zanfardino A, Confetto S, et al. Changes in body image and onset of disordered eating behaviors in youth with Type 1 diabetes over a five-year longitudinal follow-up. J Psychosom Res 2018; 109: 44–50. doi: 10.1016/j.jpsychores.2018.03.169 |
| 14. | Brazeau AS, Nakhla M, Wright M, Henderson M, Panagiotopoulos C, Pacaud D, et al. Stigma and its association with glycemic control and hypoglycemia in adolescents and young adults with Type 1 diabetes: cross-sectional study. J Med Internet Res 2018; 20(4): e151. doi: 10.2196/jmir.9432 |
| 15. | Soufi A, Mok E, Henderson M, Dasgupta K, Rahme E, Nakhla M. Association of stigma, diabetes distress and self–efficacy with quality of life in adolescents with Type 1 diabetes preparing to transition to adult care. Diabetic Med 2024; 41(1): e15159. doi: 10.1111/dme.15159 |
| 16. | Tufanaru C, Munn Z, Aromataris E, Campbell J, Hopp L. Chapter 3: Systematic reviews of effectiveness. In: Aromataris E, Munn Z, eds. JBI Manual for Evidence Synthesis. JBI, 2020. Available from https://synthesismanual.jbi.global |
| 17. | Basch M, Lupini F, Ho S, Dagnachew M, Gutierrez-Colina AM, Patterson Kelly K, et al. Mindfulness-based group intervention for adolescents with Type 1 diabetes: initial findings from a pilot and feasibility randomized controlled trial. J Pediatr Psychol 2024; 49(10): 769–79. doi: 10.1093/jpepsy/jsae071 |
| 18. | Hood KK, Iturralde E, Rausch J, Weissberg-Benchell J. Preventing diabetes distress in adolescents with Type 1 diabetes: results 1 year after participation in the STePS program. Diabetes Care 2018; 41(8): 1623–30. doi: 10.2337/dc17-2556 |
| 19. | Serlachius AS, Scratch SE, Northam EA, Frydenberg E, Lee KJ, Cameron FJ. A randomized controlled trial of cognitive behaviour therapy to improve glycaemic control and psychosocial wellbeing in adolescents with Type 1 diabetes. J Health Psychol 2016; 21(6): 1157–69. doi: 10.1177/1359105314547940 |
| 20. | Rosselló JM, Jiménez-Chafey MI. Cognitive-behavioral group therapy for depression in adolescents with diabetes: a pilot study. Rev Interam Psicol 2006; 40(2): 219–26. |
| 21. | Hains AA, Davies WH, Parton E, Totka J, Amoroso-Camarata J. A stress management intervention for adolescents with type I diabetes. Diabetes Educ 2000; 26(3): 417–24. doi: 10.1177/014572170002600309 |
| 22. | Bakhach M, Reid MW, Pyatak EA, Berget C, Cain C, Thomas J ‘Fred’, et al. Home telemedicine (CoYoT1 Clinic): a novel approach to improve psychosocial outcomes in young adults with diabetes. Diabetes Educ 2019; 45(4): 420–30. doi: 10.1177/0145721719858080 |
| 23. | Esfahani NN, Talakoub S, Jafari-Mianaei S, Mostofizadeh N. Effect of group hope therapy on self-efficacy of adolescents with Type 1 diabetes. Rev Assoc Med Bras 2021; 67(12): 1816–20. doi: 10.1590/1806-9282.20210750 |
| 24. | Guo J, Luo J, Yang J, Huang L, Wiley J, Liu F, et al. School–aged children with Type 1 diabetes benefit more from a coping skills training program than adolescents in China: 12–month outcomes of a randomized clinical trial. Pediatr Diabetes 2020; 21(3): 524–32. doi: 10.1111/pedi.12975 |
| 25. | Edraki M, Rambod M, Molazem Z. The effect of coping skills training on depression, anxiety, stress, and self-efficacy in adolescents with diabetes: a randomized controlled trial. Int J Community Based Nurs Midwifery 2018; 6(4): 324–33. |
| 26. | Weigensberg MJ, Vigen C, Sequeira P, Spruijt-Metz D, Juarez M, Florindez D, et al. Diabetes Empowerment Council: integrative pilot intervention for transitioning young adults with Type 1 diabetes. Glob Adv Health Med 2018; 7: 2164956118761808. doi: 10.1177/2164956118761808 |
| 27. | Christie D, Thompson R, Sawtell M, Allen E, Cairns J, Smith F, et al. Structured, intensive education maximising engagement, motivation and long-term change for children and young people with diabetes: a cluster randomised controlled trial with integral process and economic evaluation – the CASCADE study. Health Technol Assess (Rockv) 2014; 18(20): 1–202. doi: 10.3310/hta18200 |
| 28. | Kichler JC, Kaugars AS, Marik P, Nabors L, Alemzadeh R. Effectiveness of groups for adolescents with Type 1 diabetes mellitus and their parents. Fam Syst Health 2013; 31(3): 280–93. doi: 10.1037/a0033039 |
| 29. | Price KJ, Knowles JA, Fox M, Wales JKH, Heller S, Eiser C, et al. Effectiveness of the kids in control of food (KICk–OFF) structured education course for 11–16 year olds with Type 1 diabetes. Diabetic Med 2016; 33(2): 192–203. doi: 10.1111/dme.12881 |
| 30. | García-Pérez L, Perestelo-Pérez L, Serrano-Aguilar P, Del Mar Trujillo-Martín M. Effectiveness of a psychoeducative intervention in a summer camp for children with Type 1 diabetes mellitus. Diabetes Educ 2010; 36(2): 310–17. doi: 10.1177/0145721710361784 |
| 31. | Greco P. A peer group intervention for adolescents with Type 1 diabetes and their best friends. J Pediatr Psychol 2001; 26(8): 485–90. doi: 10.1093/jpepsy/26.8.485 |
| 32. | Boggiss AL, Consedine NS, Schache KR, Jefferies C, Bluth K, Hofman PL, et al. A brief self–compassion intervention for adolescents with Type 1 diabetes and disordered eating: a feasibility study. Diabetic Med 2020; 37(11): 1854–60. doi: 10.1111/dme.14352 |
| 33. | Ellis DA, Carcone A, Slatcher R, Naar–King S, Hains A, Graham A, et al. Efficacy of mindfulness–based stress reduction in emerging adults with poorly controlled, Type 1 diabetes: a pilot randomized controlled trial. Pediatr Diabetes 2019; 20(2): 226–34. doi: 10.1111/pedi.12807 |
| 34. | Kortegaard AS, Rokkjær RB, Harboe HMH, Lund S, Andersen A, Bohl M. A group-based intervention for diabetes-related emotional distress among emerging adults with Type 1 diabetes: a pilot study. Eur J Intern Med 2024; 128: 87–93. doi: 10.1016/j.ejim.2024.06.002 |
| 35. | Brorsson AL, Leksell J, Andersson Franko M, Lindholm Olinder A. A person–centered education for adolescents with Type 1 diabetes – a randomized controlled trial. Pediatr Diabetes 2019; 20(7): 986–96. doi: 10.1111/pedi.12888 |
| 36. | Viner RM, Christie D, Taylor V, Hey S. Motivational/solution–focused intervention improves HbA1c in adolescents with Type 1 diabetes: a pilot study. Diabetic Med 2003; 20(9): 739–42. doi: 10.1046/j.1464-5491.2003.00995.x |
| 37. | Knight KM, Bundy C, Morris R, Higgs J, Jameson RA, Unsworth P, et al. The effects of group motivational interviewing and externalizing conversations for adolescents with type-1 diabetes. Psychol Health Med 2003; 8(2): 149–57. doi: 10.1080/1354850031000087528 |
| 38. | Evcimen H, Uncu F, Esen I. Investigation of the effect of motivational interviewing on self-efficacy levels in adolescents with Type 1 diabetes mellitus. Int J Caring Sci 2021; 14(1): 298–308. |
| 39. | Yi-Frazier JP, Hilliard ME, O’Donnell MB, Zhou C, Ellisor BM, Garcia Perez S, et al. Promoting resilience in stress management for adolescents with Type 1 diabetes. JAMA Netw Open 2024; 7(8): e2428287. doi: 10.1001/jamanetworkopen.2024.28287 |
| 40. | Hains AA, Davies WH, Behrens D, Freeman ME, Biller JA. Effectiveness of a cognitive behavioral intervention for young adults with cystic fibrosis. J Clin Psychol Med Settings 2001; 8(4): 325–36. doi: 10.1023/A:1011929115896 |
| 41. | Guo J, Luo J, Huang L, Yang J, Whittemore R. Adaptation and feasibility testing of a coping skills training program for Chinese youth with Type 1 diabetes. J Pediatr Nurs 2020; 54: e78–83. doi: 10.1016/j.pedn.2020.05.005 |
| 42. | Winkley K, Landau S, Eisler I, Ismail K. Psychological interventions to improve glycaemic control in patients with Type 1 diabetes: systematic review and meta-analysis of randomised controlled trials. BMJ 2006; 333(7558): 65. doi: 10.1136/bmj.38874.652569.55 |
| 43. | Winkley K, Upsher R, Stahl D, Pollard D, Brennan A, Heller S, et al. Systematic review and meta–analysis of randomized controlled trials of psychological interventions to improve glycaemic control in children and adults with type 1 diabetes. Diabetic Med 2020; 37(5): 735–46. doi: 10.1111/dme.14264 |
| 44. | Pateraki E, Morris PG. Effectiveness of cognitive behavioural therapy in reducing anxiety in adults and children with asthma: a systematic review. J Asthma 2018; 55(5): 532–54. doi: 10.1080/02770903.2017.1350967 |
| 45. | Levy RL, van Tilburg MAL, Langer SL, Romano JM, Walker LS, Mancl LA, et al. Effects of a cognitive behavioral therapy intervention trial to improve disease outcomes in children with inflammatory bowel disease. Inflamm Bowel Dis 2016; 22(9): 2134–48. doi: 10.1097/MIB.0000000000000881 |
| 46. | Day M, Clarke SA, Castillo-Eito L, Rowe R. Psychoeducation for children with chronic conditions: a systematic review and meta-analysis. J Pediatr Psychol 2020; 45(4): 386–98. doi: 10.1093/jpepsy/jsaa015 |
| 47. | Ahola Kohut S, Stinson J, Davies-Chalmers C, Ruskin D, van Wyk M. Mindfulness-based interventions in clinical samples of adolescents with chronic illness: a systematic review. J Altern Complem Med 2017; 23(8): 581–9. doi: 10.1089/acm.2016.0316 |
| 48. | Batchelor R, Cogings N, McCormack C, Hotton M. Acceptance and commitment therapy for psychosocial outcomes in children and young people with long-term conditions: a systematic review of intervention studies. Children (Basel) 2025; 13(5): 672. doi: 10.21203/rs.3.rs-6699044/v1 |
| 49. | Mayer-Davis EJ, Maahs DM, Seid M, Crandell J, Bishop FK, Driscoll KA, et al. Efficacy of the flexible lifestyles empowering change intervention on metabolic and psychosocial outcomes in adolescents with Type 1 diabetes (FLEX): a randomised controlled trial. Lancet Child Adolesc Health 2018; 2(9): 635–46. doi: 10.1016/S2352-4642(18)30208-6 |
| 50. | Channon SJ, Huws-Thomas MV, Rollnick S, Hood K, Cannings-John RL, Rogers C, et al. A multicenter randomized controlled trial of motivational interviewing in teenagers with diabetes. Diabetes Care 2007; 30(6): 1390–5. doi: 10.2337/dc06-2260 |
| 51. | Lyzwinski L, Mcdonald S, Zwicker J, Tough S. Digital and hybrid pediatric and youth mental health program implementation challenges during the pandemic: literature review with a knowledge translation and theoretical lens analysis. JMIR Pediatr Parent 2024; 7: e55100. doi: 10.2196/55100 |
| 52. | Scott A, Chambers D, Goyder E, O’Cathain A. Socioeconomic inequalities in mortality, morbidity and diabetes management for adults with type 1 diabetes: a systematic review. PLoS One 2017; 12(5): e0177210. doi: 10.1371/journal.pone.0177210 |
| 53. | Hassan K, Loar R, Anderson BJ, Heptulla RA. The role of socioeconomic status, depression, quality of life, and glycemic control in type 1 diabetes mellitus. J Pediatr 2006; 149(4): 526–31. doi: 10.1016/j.jpeds.2006.05.039 |