Table 1
Summary of Affirmed and Emergent Concepts Based on Five Critical Questions.
| QUESTION | AFFIRMED CONCEPTS | EMERGENT CONCEPTS |
|---|---|---|
| Question 1 What is a comprehensive approach to T2D care? | The T2D approach must be comprehensive (addressing modifiable risk factors that impel DBCD and lead to complications) and provided through the DBCD chronic care model. | DBCD broadens traditional T2D chronic care models to include relevant social, environmental, and cultural factors and therefore should be used in Chile. |
| Question 2. What is prediabetes and is it important to diagnose? | Although it is associated with the presence of complications, prediabetes is considered a predisease and not a disease. | Prediabetes, as stage 2 of the DBCD model, is an actionable condition. Prediabetes should be prevented, and if identified, treated. |
| The Prediabetes definition is based on glycemia cutoffs associated with a stipulated statistical risk for T2D. | Lower cutoffs for prediabetes should be used for Latin American populations. Treatment goals for prediabetes are based on cardiorenal, neuropathic, and cognitive impairment outcomes. | |
| Question 3 Is the diagnosis of DBCD useful in Chile and should screening and case finding be recommended? | Detection and treatment of DBCD is typically late (when T2D is diagnosed) and needs to occur earlier. | Leveraging the DBCD model will expose opportunities for earlier detection (i.e., before actual T2D with/without complications) and improve outcomes. |
| FINDRISC is a useful T2D risk screening tool globally that is validated for the Latino population and may be useful for Chile. | FINDRISC should be adopted in Chile as a T2D screening tool and implemented via eHealth technology over social networks. | |
| Dysglycemia is not associated with increased adiposity in certain Latino populations. | OGTT should be performed in any Chilean patient with a cardiometabolic risk factor regardless of age or BMI. | |
| Question 4 What are the key features of a Chilean transcultural approach to DBCD? | Current chronic care models for T2D do not specifically consider transcultural factors though they should be considered for more precise clinical management. | The transculturalized DBCD model, incorporating concepts from the validated tDNA in the region should be implemented as part of T2D care in Chile. |
| Migrant population health imposes a challenge for Chilean health systems and urgently needs to be addressed. | Vulnerable migrant populations should be included in transculturalized DBCD recommendations in Chile. | |
| Question 5 What are the core Chilean lifestyle interventions for each DBCD stage? | Prioritizing lifestyle medicine in T2D care is a significant practice gap that can be addressed by implementing the DBCD model. | Specific Chilean transcultural adaptations of lifestyle interventions pertaining to each DBCD stage should be investigated, taught, and implemented. |
| The Coronavirus disease 2019 pandemic increased awareness of this practice gap and accelerated the use of telemedicine modalities. | eHealth technologies can facilitate this process of transcultural lifestyle medicine in T2D care in Chile. |
Abbreviations: A1C—glycated hemoglobin A1c; DBCD—dysglycemia‑based chronic disease; eHealth—electronic health; FBG—fasting blood glucose; FINDRISC—Finnish Diabetes Risk Score; OGTT—oral glucose tolerance test; T2D—type 2 diabetes; tDNA—transcultural diabetes nutrition algorithm; WC—waist circumference.

Figure 1
A multilevel framework for the prevention and management of the dysglycemia‑based chronic disease (DBCD) in Chile, depicting how biological, cultural, healthcare system, and policy factors interact across four stages of disease progression with the goal of preventive interruption at each stage.
Abbreviations: DBCD, Diabetes and Cardiometabolic Disease; FINDRISC, Finnish Diabetes Risk Score; WC, Waist Circumference; OGTT, Oral Glucose Tolerance Test; SLC16A11, Solute Carrier Family 16 Member 11; SES, Socioeconomic Status; FONASA, Fondo Nacional de Salud; ISAPRES, Instituciones de Salud Previsional; AUGE, Acceso Universal con Garantías Explícitas; EHR, Electronic Health Record; eHealth, Electronic Health.
Table 2
Dysglycemia‑Based Chronic Disease Evidence: Survey of Chilean Evidence.
| AUTHOR, YEAR (REFERENCE) | N | GEOGRAPHY | POPULATION | ENDPOINT(S) | RESULTS |
|---|---|---|---|---|---|
| Santos et al., [24] | 196 | Rural Andean provinces (>2,000 m altitude, northern Chile) | Adults >20 years old | Prevalence of cardiometabolic traits | Prevalence:
|
| Bozanic et al., [25] | 358 | 6 cities | Adult 65 years old (from Diabetes and Dementia project) | Risk factors, prevalence, and association of cognitive impairment and T2D |
|
| Celis‑Morales et al., [26] | 472 | Los Ríos, Bio‑Bio, and Metropolitana | Adults 20–60 years old | Impact of environmental/ethnicity factors on lifestyle markers |
|
| Arteaga et al., [27] | 983 | Limache, Valparaiso | Adults 22‑28 years old | PA and cardiovascular risk factors |
|
| Lange et al., [31] | 60 (INT) 681 (CON) | Santiago | Adults 20‑64 years old (in Cardiovascular Health Program and with T2D not on insulin) | Efficacy of a telecare self‑management support model on metabolic control |
|
| Matute et al., [28] | 6,233 | National | Persons 15 years old from the National Health Survey (2016–2017). | Medication use and effective coverage for T2D, dyslipidemia and hypertension in Chile, considering sociodemographic variables and SDOH |
|
| Piette et al., [30] | 569 | Puente Alto, Santiago | Adults 30‑75 years old in CVD program | Patient characteristics and feasibility of extending reach with structured nurse telephone contacts between outpatient encounters |
|
| Leiva et al., [29] | 4700 (538 with and 4,162 without T2D) | National | Subjects > 15 years old from National Health Survey (2009–2010) | Associations of T2D with SDOH and lifestyle factors |
|
These data are used for transculturalizing DBCD recommendations. Since only significant ORs were reported, 95%CI was omitted for simplicity.
Abbreviations: A1C—hemoglobin A1c, BMI—body mass index; CI—confidence interval, CVD—cardiovascular disease, CON—control group, DBCD—dysglycemia‑based chronic disease; FBG—fasting blood glucose; HCP—healthcare professional; HDL‑c—high‑density lipoprotein cholesterol, HOMA‑IR—Homeostatic Model Assessment for Insulin Resistance, IGT—impaired glucose tolerance, INT—intervention group, MET—metabolic equivalent of physical activity, OR—odd ratio, PA—physical activity, SDOH—social determinants of health; SES—socioeconomic status, T2D—type 2 diabetes; TGs—triglycerides; WC—waist circumference. Values expressed as mean standard deviation.
Table 3
Dysglycemia‑Related Factors Based on Chilean Evidence.
| CATEGORY | AUTHOR, YEAR (REFERENCE) | OBJECTIVE | RESULTS |
|---|---|---|---|
| Genetics | Mardones et al., [32] | Association of SLC16A11 gene variants with obesity and metabolic markers in those without diabetes |
|
| Health Literacy | Cuevas et al., [33] | Identify barriers, perceptions, attitudes, behaviors, and barriers in obesity care |
|
| Nutrition | Ratner et al., [34] | Analyze eating behaviors, nutritional status, and history of previous diseases in students of higher education |
|
| Mujica‑Coopman et al., [35] | Assess relationships among malnutrition, SES, and ethnicity |
| |
| Cediel et al., [36] | Assess the consumption of ultra‑processed foods and associations with nutrients related to non‑communicable diseases |
| |
| Physical activity | Celis‑Morales et al., [37] | Examine PA and sedentariness prevalences by SES |
|
| Díaz‑Martínez et al., [38] | Investigating association between self‑reported sitting time and diabetes‑related markers |
| |
| Díaz‑Martínez et al., [39] | Investigate the association of PA with obesity, metabolic markers, T2D, hypertension, and metabolic syndrome |
| |
| Risk Assessment Tools | Arancibia et al., [40] | Assess OGTT serum insulin levels to gauge insulin resistance |
|
| Petermann‑Rocha et al., [41] | Identify sex‑specific cut‑off points for WC for metabolic syndrome diagnosis |
| |
| Mental Health | Bastias‑González et al., [42] | Determine whether psychological variables and behavioral variables predict obesity |
|
These factors are used for transculturalizing DBCD recommendations.
Abbreviations: BMI—body mass index; CI—confidence interval; CON—control group; CPAP—continuous positive airway pressure; DBCD—dysglycemia‑based chronic disease; HOMA‑IR—homeostatic model assessment for insulin resistance; INT—intervention group; LDL‑c—low‑density lipoprotein cholesterol; MET—metabolic equivalent of task; NHS—National Health Survey; OGTT—oral glucose tolerance test; OR—odd ratio; PA—physical activity; SES—socioeconomic status; T2D—type 2 diabetes.
Table 4
METRICS/LSP Consensus Conference on DBCD Transculturalization in Chile—Pillar Participants.
| PILLARS | PARTICIPANTS | |
|---|---|---|
| Biomedical | Jeffrey I. Mechanick, MD (Chair) | The Marie‑Josee and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Fuster Heart Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA; and METRICS, USA |
| Ramfis Nieto‑Martinez, MD, MSc (Co‑Chair; DBCD‑CC General Coordinator) | Precision Care Corp, Saint Cloud, FL, USA; Lown Scholar Program, Harvard TH Chan School of Public Health, Boston, MA, USA; FISPEVEN INC, Venezuela; and METRICS, USA | |
| Carlos Grekin, MD (DBCD‑CC Chile Coordinator) | Nutrition and Diabetes Unit, Clínica Red Salud Vitacura; Nutrition and Diabetes Service, Santiago Military Hospital; Universidad de Los Andes, Santiago, Chile; and METRICS, USA | |
| Diana De Oliveira‑Gomes, MD | Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA; FISPEVEN INC, Venezuela; and METRICS, USA | |
| Manuel Moreno, MD, MSc | Pontificia Universidad Católica de Chile. Departamento de Nutrición, Diabetes y Metabolismo, Facultad de Medicina. Santiago, Chile | |
| Carolina Ceron Reyes, MD, MBA | Centro Médico y Dental. Red Salud Arauco. Santiago, Chile. | |
| Eduardo Figueroa Psi | Servicio de Neurología. Hospital Militar. Santiago, Chile | |
| Alex Valenzuela Montero, MD | Facultad de Medicina. Clínica Alemana Universidad del Desarrollo. Nutrición y Dietética, Santiago, Chile. | |
| Víctor Saavedra, MD | Sociedad Chilena de Obesidad (SOCHOB), Santiago, Chile. | |
| Claudia Cancino, RD | RedSalud Arauco, Santiago, Chile | |
| Education, Research, and Professional Organizations | Goodarz Danae,i DSc (Keynote speaker) | Director, LSP‑Harvard, Boston, MA, USA |
| Juan Pablo González, MD (DBCD‑CC Online Moderator) | Lown Scholar Program, Harvard TH Chan School of Public Health, Boston, MA, USA; FISPEVEN INC, Venezuela, and METRICS, USA | |
| Sandra López Arana, PhD, MSc, RD | Universidad Finis Terrae, Escuela de Nutrición y Dietética, Santiago, Chile; Lown Scholar Program, Harvard TH Chan School of Public Health, Boston, MA, USA | |
| Báltica Cabieses, MSc, PhD | Universidad del Desarrollo, Centro de Salud Global Intercultural (CeSGI), Santiago, Chile | |
| Guillermo Cortes, MSc | Universidad Viña del Mar. Facultad de Ciencias Jurídicas, Sociales y de la Educación. Escuela de Educación, Viña del Mar. Chile | |
| Sandra Vesga, MSc | Universidad Viña del Mar. Facultad de Ciencias Jurídicas, Sociales y de la Educación. Escuela de Educación, Viña del Mar. Chile | |
| Cecilia Albala, MD, MPH | Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile. | |
| Hernán Speisky Cosoy, PhD | Instituto de Nutrición y Tecnología de los Alimentos (INTA), Universidad de Chile, Santiago, Chile | |
| Francisco Pérez‑Bravo, PhD | Laboratorio de Micronutrientes. Unidad de Nutrición Humana. Instituto de Nutrición y Tecnología de los Alimentos (INTA). Universidad de Chile, Santiago, Chile. | |
| Healthcare Industry | Francisco Javier Smart, PE | Boston Consulting Group. Santiago, Chile |
| Arturo Avendaño Bravo, PE | Central de Abastecimiento del Sistema Nacional de Servicios de Salud (CENABAST). Unidad de Inteligencia de Negocios. Santiago, Chile | |
| Benjamín Medina, PhD | Nova Foods S.A. Santiago, Chile | |
| Government/Regulatory and patient advocacy | Pedro Barria Gutierrez, JD | Unidad de Mediación de Daños en Salud. Consejo de Defensa del Estado. Santiago, Chile |
| Claudia Pradenas, Patient | Diabetes Araucania Temuco. Temuco, Chile | |
Abbreviations: DBCD Chile‑CC—Consensus Conference on Dysglycemia‑Based Chronic Disease (DBCD) Transculturalization in Chile; FISPEVEN INC—Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela; METRICS—The MEchanick Transculturalization Research and Innovation ConSortium.
Table 5
Chilean DBCD Recommendations, Key Strategies, and Implementation Tactics
| COMPONENT | RECOMMENDATIONS | KEY STRATEGIES | IMPLEMENTATION TACTICS | ||
| Risk Screening | Enhance the detection of T2D and CVD risk in the Chilean population using culturally adapted tools. | Validate risk assessment tools, such as FINDRISC, tailored to Chile’s biological, cultural, and socioeconomic context. Use the Chilean version of GLOBORISK as CVD risk score. | Use the tDNA framework to address cultural differences in tool adaptation and validation.a | ||
| Involve community leaders to pragmatize these tools, enhancing their accuracy and cultural relevance.b | |||||
| Conduct studies to assess the validity and implementability of these tools across diverse settings.c | |||||
| Culture and SDOH | Incorporate SDOH and ethnocultural factors to DBCD care. | Collect and integrate socioeconomic and cultural data from Chileans into patient care strategies. | Incorporate SDOH into public policies for inclusive care.d | ||
| Utilize community resources to address SDOH.e | |||||
| Use accessible language and culturally relevant resources during HCP–patient interactions. | Design and embed cultural competence training into HCPs curricula. | Train healthcare teams in culturally sensitive communication.f | |||
| Partner with educational institutions and community organizations.g | |||||
| Healthcare Access and Equity | Promote equity in healthcare access. | Ensure equitable access to quality healthcare, especially for vulnerable populations. | Develop initiatives like PIAAM to integrate eHealth and comprehensive support for migrants.d | ||
| Work with organizations specialized in supporting indigenous populations such as Mapuches.b | |||||
| Optimize access to clinical practice guidelines recommended medications. | Improve access to effective and affordable T2D treatments. | Establish policies for the provision of key medications.d | |||
| Inform professionals about optimized treatment options.f | |||||
| Community Engagement and Education | Community integration and education. | Use community resources to promote education and support health initiatives. | Engage local leaders to strengthen education about prediabetes and T2D.e | ||
| Support healthy lifestyle changes with infrastructural resources.h | |||||
| Education on alcohol consumption risks. | Promote strategies to educate the public about the risks of alcohol consumption. | Include diverse disciplines in alcohol education campaigns.i | |||
| Develop policies such as taxation to dissuade unhealthy habits.d | |||||
| Strengthening community‑level nutrition education efforts. | Promote primary prevention by implementing nutrition education initiatives focused on local healthy foods and dietary patterns. | Implement initiatives like “Healthy Food Prescriptions” and school‑based programs such as “Kiosco Verde.”d | |||
| Individualized Care and Recommendations | Individualized nutritional recommendations. | Make dietary recommendations personalized, considering socioeconomic factors. | Align nutritional recommendations with patients’ individual realities. j | ||
| Conduct studies on the effectiveness of personalized diets in various populations.c | |||||
| Local disease progression understanding. | Understand and address T2D progression in the Chilean context. | Promote longitudinal studies to understand local disease patterns.c | |||
| Partner with local institutions to collect relevant data.g | |||||
| Technological and Strategic Integration | Efficient EHR use | Leverage effective use of EHR to improve data quality and comprehensive treatment | Enhance electronic record systems.k | ||
| Encourage collaboration to maximize EHR effectiveness.i | |||||
| Strategic planning and prioritization. | Develop a strategic plan prioritizing actions based on local needs. | Involving key participants in strategic planning.b | |||
| Create policies promoting evidence‑based local interventions.d | |||||
| Evaluation and Effectiveness | Evidence on cost‑effectiveness. | Generate local evidence on the cost‑effectiveness of T2D prevention strategies. | Conduct studies to assess cost‑effectiveness and guide public health policy.c | ||
| Publish documents supporting informed and effective decision‑making.l | |||||
| Communication and Language Use | Using appropriate language. | Educate HCPs on the importance of respectful and non‑stigmatizing language. | Train in using patient‑centered language.f | ||
| Ensure language is culturally sensitive and appropriate.a | |||||
By consensus, affirmed and emergent concepts were used to formulate recommendations, which were then interpreted as specific strategies with respective implementation tactics.
Abbreviations: DBCD—dysglycemia‑based chronic disease; EHR—electronic health record, HCP—healthcare professional; SDOH—social determinants of health; SES—socioeconomic status, T2D—type 2 diabetes.
Implementation tactics are: transculturalization,a stakeholder engagement,b research,c public policies,d community‑based interventions and engagement,e healthcare team education and training,f collaboration and networking,g lifestyle medicine infrastructure,h multidisciplinary teams,i patient‑centered approach,j health information technology,k and white papers.l
